SenNet recommendations for detecting senescent cells in different tissues
Open accessAbstract
Once considered a tissue culture-specific phenomenon, cellular senescence has now been linked to various biological processes with both beneficial and detrimental roles in humans, rodents and other species. Much of our understanding of senescent cell biology still originates from tissue culture studies, where each cell in the culture is driven to an irreversible cell cycle arrest. By contrast, in tissues, these cells are relatively rare and difficult to characterize, and it is now established that fully differentiated, postmitotic cells can also acquire a senescence phenotype. The SenNet Biomarkers Working Group was formed to provide recommendations for the use of cellular senescence markers to identify and characterize senescent cells in tissues. Here, we provide recommendations for detecting senescent cells in different tissues based on a comprehensive analysis of existing literature reporting senescence markers in 14 tissues in mice and humans. We discuss some of the recent advances in detecting and characterizing cellular senescence, including molecular senescence signatures and morphological features, and the use of circulating markers. We aim for this work to be a valuable resource for both seasoned investigators in senescence-related studies and newcomers to the field.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
174 of 241 cited sources checked · 62 supported · 2 flagged · accuracy not yet measured
- Premisecitation
Senescent podocytes in old mouse kidneys overexpress senescence markers and SASP factors including Irf5, Cebpb, Jdp2, Ccl2, Ccl3, Ccl5, Ccl8, Mmp12, Mmp13 and Gsk3b.
“Senescent podocytes in old mouse kidneys overexpress senescence markers and SASP factors, including Irf5, Cebpb, Jdp2, Ccl2, Ccl3, Ccl5, Ccl8, Mmp12, Mmp13 and Gsk3b.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). source
The Results section on aging nephropathy reports that p21, a senescence marker, colocalized with an endothelial-cell marker but not with the podocyte marker nephrin in old mouse glomeruli. The SASP Results section reports MMP13 upregulation in whole kidneys, not in senescent podocytes. The paper identifies endothelial-cell senescence and podocyte loss, contrary to the claim's attribution of senescence-marker and SASP overexpression to podocytes; it does not report the claimed gene list in podocytes. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
During acinar-to-ductal metaplasia, dedifferentiated acinar cells acquire a senescent state characterized by cell cycle arrest, induction of p53, CDKN1A, CDKN2A and SA-β-gal activity.
“During acinar-to-ductal metaplasia, dedifferentiated acinar cells acquire a senescent state characterized by cell cycle arrest, induction of p53, CDKN1A, CDKN2A and SA-β-gal activity190–193.”
Quote in the paperNot a substantial claim2 of 4 sources checked- cites [190] Grabliauskaite, K. et al. p21WAF1/Cip1 limits senescence and acinar-to-ductal metaplasia formation during pancreatitis. J. Pathol. 235, 502–514 (2015). source
- cites [191] Horiguchi, M. et al. Senescence caused by inactivation of the homeodomain transcription factor Pdx1 in adult pancreatic acinar cells in mice. FEBS Lett. 593, 2226–2234 (2019). source
- cites [192] Kim, S. et al. The basic helix–loop–helix transcription factor E47 reprograms human pancreatic cancer cells to a quiescent acinar state with reduced tumorigenic potential. Pancreas 44, 718–727 (2015). source
The Abstract says that during oncogenic Kras-driven acinar-to-ductal metaplasia, quiescent acinar cells enter the cell cycle, rather than arrest in a senescent state. The Results report CDKN1A (p21) induction and growth arrest after E47 is introduced into pancreatic cancer cells to drive them back toward an acinar state; they do not establish the claimed senescence-marker pattern during metaplasia. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [193] Tourlakis, M. E. et al. In vivo senescence in the Sbds-deficient murine pancreas: cell-type specific consequences of translation insufficiency. PLoS Genet. 11, e1005288 (2015). source
The Results sections on postnatal pancreatic senescence and p53 dependence report senescent acinar cells with cell-cycle arrest, SA-β-gal activity, increased p53, and increased Cdkn1a. They report induction of Cdkn2b, not Cdkn2a. The Results section on p53-dependent phenotypes describes morphology consistent with early acinar-to-ductal metaplasia in p53-deficient pancreata, where dedifferentiation markers became widespread; it does not establish that cells acquire this senescent state during metaplasia. Page numbers are unavailable in our copy. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Findingcitation
The substantia nigra of individuals with Parkinson disease has reduced SATB1 and increased CDKN2A, MMP3, IL-6, IL-1α, and CXCL8 compared with healthy brains, suggesting increased senescence burden.
“Compared with brains of healthy individuals, the substantia nigra of individuals with Parkinson disease has reduced levels of SATB1 (a CDKN1A repressor) and increased levels of CDKN2A, MMP3, IL-6, IL-1α and CXCL8, suggesting an increased burden of senescence106,116.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [106] Chinta, S. J. et al. Cellular senescence is induced by the environmental neurotoxin paraquat and contributes to neuropathology linked to Parkinson’s disease. Cell Rep. 22, 930–940 (2018). source
The Results section, “Senescent Astrocytes and SASP Factors Are Elevated in Parkinsonian Substantia Nigra Pars Compacta” (page not provided), reports increased p16INK4a, MMP-3, IL-6, IL-1α and IL-8 in Parkinsonian substantia nigra pars compacta tissue compared with controls, and interprets the findings as evidence of increased senescence. The paper does not report reduced SATB1 or identify it as a CDKN1A repressor; a search for SATB1 found no supporting passage. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [116] Brichta, L. et al. Identification of neurodegenerative factors using translatome-regulatory network analysis. Nat. Neurosci. 18, 1325–1333 (2015). source
The Results section ('Validation of novel determinants of DA neurodegeneration'; page unavailable) reports significantly decreased SATB1 transcriptional activity in substantia nigra samples from people with incipient Parkinson disease versus controls. It explicitly says SATB1 expression levels did not change, contrary to the claimed reduction in levels. Our copy does not report increases in CDKN2A, MMP3, IL-6, IL-1α or CXCL8, or an increased senescence burden. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Interpretationreasoning
Detecting senescence-associated cell cycle arrest requires quantifying multiple factors and features.
“Therefore, detecting senescence-associated cell cycle arrest requires quantifying multiple factors and features17.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [17] Gorgoulis, V. et al. Cellular senescence: defining a path forward. Cell 179, 813–827 (2019). source
- Findingcitation
Single-cell transcriptomics identified a Cdkn1ahigh senescent-like population from aged mouse adipose tissue-derived mesenchymal stem cells, with upregulation of Il6, Il15, Vegfa, Cxcl2, Ccl2, and Cxcl1.
“A single-cell transcriptomics study identified a Cdkn1ahigh senescent-like cell population from aged mouse adipose tissue-derived mesenchymal stem cells, with additional upregulation of Il6, Il15, Vegfa, Cxcl2, Ccl2 and Cxcl1 (ref. 124).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [124] Wang, B. et al. Transplanting cells from old but not young donors causes physical dysfunction in older recipients. Aging Cell 19, e13106 (2020). source
The single-cell transcriptome analysis (section labeled Abstract; no page supplied) identifies a Cdkn1a/p21-high senescent-like ADSC population that is more common in old donors. The paper also reports upregulation of several SASP-related genes in old-donor ADSCs overall, but the passages do not identify Il6, Il15, Vegfa, Cxcl2, Ccl2 and Cxcl1 as upregulated, or establish that this list is specific to the p21-high population. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Findingcitation
The database analysis indicates about 50% of monocytes in bone marrow of older subjects could be senescent.
“Analysis of the SenMayo gene panel (Box 3) indicates that approximately 50% of monocytes in the bone marrow of older subjects could be senescent84.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [84] Saul, D. et al. A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues. Nat. Commun. 13, 4827 (2022). source
The Results section (‘SenMayo identifies senescent cells in scRNA-seq datasets’; page unavailable) reports that monocytes had the highest proportion of SASP-associated cells in a human bone-marrow dataset. It does not report that approximately 50% of monocytes were senescent or give that estimate specifically for older subjects. The Methods describe the single-cell donors as averaging 50.6 ± 14.9 years of age. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Findingcitation
CD3+ T cells from aged mice and ERCC1-deficient mice show increased levels of Ccl2, Tnf, Il1b, Inhba, Spp1, Cdkn2a, and Cdkn1a.
“CD3+ T cells isolated from the blood of aged mice and of mice deficient in ERCC1, which is a crucial DNA repair protein, exhibit increased levels of multiple senescent markers, including Ccl2, Tnf, Il1b, Inhba, Spp1, Cdkn2a and Cdkn1a (refs. 85,86).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [85] Yousefzadeh, M. J. et al. Tissue specificity of senescent cell accumulation during physiologic and accelerated aging of mice. Aging Cell 19, e13094 (2020). source
The Results on peripheral lymphocytes report increased Cdkn2a (p16Ink4a) and Cdkn1a (p21Cip1) in blood CD3+ T cells from aged and Ercc1-deficient mice. The Results on other measures of senescence also report elevated SASP-factor expression, including Ccl2/Mcp1, Tnf and Il1b, in peripheral T cells. Inhba/Activin A and Spp1/osteopontin were reported as elevated in serum, not in the isolated T cells, so the full gene list is not supported for those cells. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [86] Yousefzadeh, M. J. et al. An aged immune system drives senescence and ageing of solid organs. Nature 594, 100–105 (2021). source
The Immune cell senescence section reports increased senescence and SASP markers in peripheral CD3+ cells from aged ERCC1-deficient mice, analogous to aged wild-type mice. It identifies p16 (Cdkn2a), p21 (Cdkn1a), Ccl2, Tnf and Il1b among the markers studied, but does not establish that every listed gene increased in blood CD3+ cells in both groups. Searches for Inhba and Spp1 found no supporting passage. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Findingcitation
Human and mouse CNS postmitotic cells and progenitors overexpress combinations of senescence-related cell cycle regulators and SASP factors in ageing and disease.
“Human and mouse postmitotic cells and progenitor cell types of the central nervous system, including neurons, microglia, astrocytes, oligodendrocyte lineage cells and endothelial cells, exhibit overexpression of combinations of senescence-related cell cycle regulators (CDKN2A, TP53 and CDKN1A) and SASP factors (CCL2, IL1A, IL1B, IL6, MMP1, MMP3, SERPINE1, SPP1 and TNF) in the context of ageing and”
Quote in the paperSubstantial claim6 of 7 sources checked- cites [99] Jurk, D. et al. Postmitotic neurons develop a p21-dependent senescence-like phenotype driven by a DNA damage response. Aging Cell 11, 996–1004 (2012). source
The Results (page unavailable) show that ageing mouse cortical and Purkinje neurons develop senescence-like markers, including increased IL-6, and link the phenotype to p21/CDKN1A. They do not establish the claimed overexpression across human CNS cells, progenitors, the other listed CNS cell types, or the broader panel of cell-cycle regulators and SASP factors. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [100] Kiss, T. et al. Single-cell RNA sequencing identifies senescent cerebromicrovascular endothelial cells in the aged mouse brain. Geroscience 42, 429–444 (2020). source
The Identification of cell types section (page unavailable) reports more cells with high senescence-gene scores among aged mouse endothelial cells and microglia, but not neurons. The gene list includes several of the named regulators and SASP factors. The study does not establish the claim for human cells or progenitors, or show overexpression across all the listed CNS cell types in ageing and disease. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [101] Jin, W. N. et al. Neuroblast senescence in the aged brain augments natural killer cell cytotoxicity leading to impaired neurogenesis and cognition. Nat. Neurosci. 24, 61–73 (2021). source
- cites [102] Ogrodnik, M. et al. Whole-body senescent cell clearance alleviates age-related brain inflammation and cognitive impairment in mice. Aging Cell 20, e13296 (2021). source
The Results section (Figure 1; page unavailable) reports age-related increases in p16Ink4a- and p21-positive mouse brain cells, including microglia, oligodendrocyte-lineage cells, neurons and astrocytes, and links p16Ink4a expression to higher pro-inflammatory gene expression. The Introduction also notes senescence markers in endothelial cells. Our copy does not establish the claim for human CNS cells or document overexpression of the full named set of regulators and SASP factors across those cell types in ageing and disease. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [103] Fatt, M. P. et al. Restoration of hippocampal neural precursor function by ablation of senescent cells in the aging stem cell niche. Stem Cell Rep. 17, 259–275 (2022). source
The Results section reports increased P16INK4A in mouse hippocampal neural precursor cells with age, and increased Il6 in precursor cultures after experimentally induced senescence. The Introduction and Discussion also describe senescent glial cells in neurodegenerative disease. The paper does not establish the claimed overexpression pattern across human and mouse CNS cell types, including neurons and endothelial cells, or across the listed regulators and SASP factors. The indexed passages provide no page numbers. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [104] Zhang, X. et al. Rejuvenation of the aged brain immune cell landscape in mice through p16-positive senescent cell clearance. Nat. Commun. 13, 5671 (2022). source
The Results section (page unavailable) reports that an aged-mouse myeloid/microglial population upregulates Cdkn2a, Cdkn1a and SASP factors including Ccl2 and Spp1. Although the paper identifies other brain cell types, these passages do not establish the stated expression pattern across those types or in humans; they also do not substantiate the full gene list or the broader disease context. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [105] Matias, I. et al. Loss of lamin-B1 and defective nuclear morphology are hallmarks of astrocyte senescence in vitro and in the aging human hippocampus. Aging Cell 21, e13521 (2022). source
The Results section (page unavailable) reports increased p16INK4a, MMP3, and IL-6 in senescent astrocyte cultures, and increased senescence-associated markers in astrocytes of aged mouse hippocampus. The Introduction also describes senescence features in neural stem cells, neurons, and glia. The paper does not establish overexpression of the listed regulators and SASP factors across the full range of human and mouse CNS cell types named in the citing sentence. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Rests on an assumption: Marker expression observed in animal models can be extrapolated to human tissues.
- Findingcitation
Myocardial infarction in mice is associated with increased senescence markers in cardiomyocytes and cardiac fibroblasts.
“Myocardial infarction in mice was associated with increased expression of senescence-associated markers such as CDKN2A and CDKN1A, SA-β-gal activity, TAF and increased expression of SASP components in mouse cardiomyocytes67 and cardiac fibroblasts68.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [67] Walaszczyk, A. et al. Pharmacological clearance of senescent cells improves survival and recovery in aged mice following acute myocardial infarction. Aging Cell 18, e12945 (2019). source
The Results (page unavailable) report p16 and p21 expression in hearts four weeks after MI and show that navitoclax-treated mice had lower expression than untreated mice. Figure 1 also documents p16-positive cardiomyocytes in aged mice, but before MI. The paper does not show that MI itself increased these markers relative to no MI, or establish the claimed post-MI changes in cardiac fibroblasts, SA-β-gal activity, or TAF. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [68] Zhu, F. et al. Senescent cardiac fibroblast is critical for cardiac fibrosis after myocardial infarction. PLoS ONE 8, e74535 (2013). source
The Results section (‘Senescent fibroblasts accumulate in the infarcted heart in vivo’; page unavailable) reports increased SA-β-gal, p16 and p21 staining after infarction in mice and identifies the senescent cells as myofibroblasts. This supports the cardiac-fibroblast portion attached to this citation, but our copy does not report increased TAF; the cardiomyocyte portion is attached to a different citation. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Findingcitation
Post-mortem Alzheimer disease tissues show elevated SERPINE1, CDKN2A, CDKN2D, CDKN1A, IL-1β, IL-6, and CXCL8 in endothelial cells and microglia compared with control brain tissues.
“Post-mortem Alzheimer disease tissues also show elevated levels of SERPINE1, CDKN2A, CDKN2D, CDKN1A, IL-1β, IL-6 and CXCL8 in endothelial cells and microglia relative to control brain tissues112,115.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [112] Hu, Y. et al. Replicative senescence dictates the emergence of disease-associated microglia and contributes to Aβ pathology. Cell Rep. 35, 109228 (2021). source
The Results section, “Human microglia display markers of senescence in AD” (page not available), reports more P16+ and P21+ microglia in post-mortem AD cortex than in controls. It also reports increased PAI1, P19, P16, P21, IL-1β and IL-6 mRNA in temporal-cortex samples, but does not establish that all of these increases occur specifically in microglia. The cited passages do not report elevated CXCL8 or findings in endothelial cells. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [115] Bryant, A. G. et al. Cerebrovascular senescence is associated with tau pathology in Alzheimer’s disease. Front. Neurol. 11, 575953 (2020). source
The Results (page unavailable in our copy) report elevated SERPINE1, CDKN1A, and CXCL8 in post-mortem prefrontal cortical microvessels from advanced-Braak-stage subjects compared with controls. They do not establish elevation in microglia: the study analyzed isolated microvessels, not those cells. CDKN2A was excluded because its expression was often undetectable, IL6 upregulation did not reach significance, and the reported upregulated-gene list does not include CDKN2D or IL-1β. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Findingcitation
Multiple senescence markers including cell cycle inhibitors, DNA damage foci, and SASP factors are upregulated in the aorta of ageing mice.
“Multiple senescence-associated markers, including cell cycle inhibitors (Cdkn2a, Cdkn1a and Trp53), DNA damage foci and SASP factors, are upregulated in the aorta of ageing mice63–65.”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [63] Bhayadia, R., Schmidt, B. M., Melk, A. & Homme, M. Senescence-induced oxidative stress causes endothelial dysfunction. J. Gerontol. A Biol. Sci. Med. Sci. 71, 161–169 (2016). source
- cites [64] Gao, P. et al. Transcriptome analysis of mouse aortae reveals multiple novel pathways regulated by aging. Aging 12, 15603–15623 (2020). source
The Results section reports a more than sevenfold increase in Cdkn2a in aged mouse aortae, and the Results and Discussion report increased inflammatory mediators consistent with SASP. Our copy does not report upregulation of Cdkn1a or Trp53, or an increase in DNA damage foci in the aged aorta. Page numbers are not available in the indexed passages. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [65] Yu, H. et al. Role of the cGAS–STING pathway in aging-related endothelial dysfunction. Aging Dis. 13, 1901–1918 (2022). source
The Results section reports age-dependent increases in p53, p21 and p16 proteins, and the Figure 1 caption specifies that these were measured in mouse aortas. Our copy does not show that DNA damage foci were upregulated there; its discussion mentions inflammatory cytokines in old arteries but does not establish the full claimed set of SASP markers in the study's mouse aortas. Page numbers are unavailable in the indexed copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Findingcitation
Aged mouse cardiac mesenchymal stromal cells show reduced clonogenic and proliferative capacity linked to increased Cdkn1a, Cdkn2b, Cdkn2a, and SASP factor mRNA.
“In mice, aged cardiac mesenchymal stromal cells identified as PTPRC−PECAM1−ATXN1+PDGFRA+ (also knownas CD45−CD31−SCA1+PDGFRα+) experience a decline in clonogenic and proliferative capacity linked to increase mRNA expression of Cdkn1a, Cdkn2b and Cdkn2a and SASP factors61.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [61] Martini, H. et al. Aging induces cardiac mesenchymal stromal cell senescence and promotes endothelial cell fate of the CD90+ subset. Aging Cell 18, e13015 (2019). source
- Findingcitation
Studies have identified oncogene-induced, irradiation-induced, and ageing-induced accumulation of senescent cells in bone marrow.
“Studies have identified oncogene-induced, irradiation-induced and ageing-induced accumulation of senescent cells in the bone marrow92–94.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [92] Chang, J. et al. Clearance of senescent cells by ABT263 rejuvenates aged hematopoietic stem cells in mice. Nat. Med. 22, 78–83 (2016). source
The paper reports senescence markers in bone-marrow hematopoietic stem cells after irradiation and says treatment clears senescent stem cells from the bone marrow of aged mice. It also induces oncogene (Ras)-driven senescence, but in cultured WI-38 cells, not bone marrow. Thus it does not support all three causes of bone-marrow senescent-cell accumulation attributed to the citation cluster. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [93] Farr, J. N. et al. Identification of senescent cells in the bone microenvironment. J. Bone Miner. Res. 31, 1920–1929 (2016). source
- cites [94] Abdul-Aziz, A. M. et al. Acute myeloid leukemia induces protumoral p16INK4a-driven senescence in the bone marrow microenvironment. Blood 133, 446–456 (2019). source
The Key points (p. 2) and Discussion (p. 12) report that AML blasts induce senescence in bone marrow cells. The paper also says the bone marrow microenvironment becomes senescent with age (Abstract, p. 3). It does not establish irradiation-induced senescent-cell accumulation in bone marrow, so it supports only part of the cited sentence. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Findingcitation
Senescence-associated markers have been identified in atherosclerosis, abdominal aortic aneurysm, and thoracic aortic aneurysm in human and mouse models.
“Senescence-associated markers have also been identified in the context of vascular diseases such as atherosclerosis and abdominal aortic aneurysm and thoracic aortic aneurysm in both human and mouse models69–72.”
Quote in the paperNot a substantial claim3 of 4 sources checked- cites [69] Aschacher, T. et al. Impacts of telomeric length, chronic hypoxia, senescence, and senescence-associated secretory phenotype on the development of thoracic aortic aneurysm. Int. J. Mol. Sci. 23, 15498 (2022). source
The Results (§2.5; page not provided) identify senescence-associated markers in human thoracic aortic aneurysm specimens, and the Introduction links senescence to atherosclerosis. The Introduction discusses telomere damage in abdominal aortic aneurysms and ROS in a murine aneurysm model, but does not identify senescence-associated markers in either abdominal aneurysms or mouse models. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [70] Chen, H. Z. et al. Age-associated sirtuin 1 reduction in vascular smooth muscle links vascular senescence and inflammation to abdominal aortic aneurysm. Circ. Res. 119, 1076–1088 (2016). source
- cites [71] Childs, B. G. et al. Senescent intimal foam cells are deleterious at all stages of atherosclerosis. Science 354, 472–477 (2016). source
The paper reports senescence-associated findings in atherosclerosis: its Abstract section describes shortened telomeres in human plaques, and the mouse experiments identify SA β-Gal activity and elevated senescence-marker transcripts in lesions. Our copy does not report such markers in abdominal or thoracic aortic aneurysms. No page number is available for these passages. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [72] Matthews, C. et al. Vascular smooth muscle cells undergo telomere-based senescence in human atherosclerosis: effects of telomerase and oxidative stress. Circ. Res. 99, 156–164 (2006). source
- Findingcitation
Monocytes and tissue-resident macrophages are predominant producers of SASP factors such as IL-1α, IL-1β, IL-6, TNF, and HMGB1.
“Studies have shown that immune cells, including monocytes and tissue-resident macrophages, are the predominant producers of SASP factors such as IL-1α, IL-1β, IL-6, TNF and HMGB1 (refs. 75–78).”
Quote in the paperSubstantial claim4 of 4 sources checked- cites [75] Goldberg, E. L. & Dixit, V. D. Drivers of age-related inflammation and strategies for healthspan extension. Immunol. Rev. 265, 63–74 (2015). source
The “Metabolic disease/T2D” section (page not supplied) credits inflammatory M1 macrophages with increased TNFα, IL-6, and IL-1β in obesity. The “Age-related diseases and inflammation” section says macrophages are major responders to danger signals in aged tissues, but does not establish that monocytes and tissue-resident macrophages are the predominant producers of SASP factors generally, or identify them as producers of IL-1α and HMGB1. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [76] Park, M. D., Silvin, A., Ginhoux, F. & Merad, M. Macrophages in health and disease. Cell 185, 4259–4279 (2022). source
The section on decay of tissue-resident macrophage niches reports that inflammatory monocytes in IBD mucosa produce IL-6 and TNF-α. The section on disease-associated signals also lists activated immune cells among IL-6 producers, but it does not identify monocytes or tissue-resident macrophages as the predominant producers. Neither passage establishes that these cells predominantly produce SASP factors or supports the full list including IL-1α, IL-1β, and HMGB1. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [77] Camell, C. D. et al. Inflammasome-driven catecholamine catabolism in macrophages blunts lipolysis during ageing. Nature 550, 119–123 (2017). source
The Main Text reports Il1b gene expression in bone-marrow-derived macrophages, and Extended Data Figure 7 examines senescence-associated genes in adipose-tissue macrophages. These findings support a limited link between macrophages, IL-1β and senescence-related changes, but do not establish that monocytes or tissue-resident macrophages are the predominant producers of the listed SASP factors. (LLM, conf=0.81)
Experimental — accuracy not yet measured - cites [78] Hall, B. M. et al. p16Ink4a and senescence-associated β-galactosidase can be induced in macrophages as part of a reversible response to physiological stimuli. Aging 9, 1867–1884 (2017). source
The Results section reports that stimulated mouse peritoneal macrophages increased IL-1β gene expression, supporting a limited link between macrophages and one listed inflammatory factor. It does not establish that monocytes or tissue-resident macrophages are the predominant producers of SASP factors, or report production of the other listed factors. No page number is available in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Senescent cells persistently accumulate iron even after extracellular iron levels return to normal after injury.
“Senescent cells also persistently accumulate iron, even when the surge of extracellular iron level returned to normal after injury156.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [156] Maus, M. et al. Iron accumulation drives fibrosis, senescence and the senescence-associated secretory phenotype. Nat. Metab. 5, 2111–2130 (2023). source
- Premisecitation
Mouse hepatic stellate cells exhibit SA-β-gal activity and expression of Cdkn1a, Cdkn2a and SASP components in models of liver injury.
“Mouse hepatic stellate cells have also been shown to exhibit senescence-associated markers such as SA-β-gal activity and expression of Cdkn1a, Cdkn2a and SASP components in models of liver injury163,164.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [163] Krizhanovsky, V. et al. Senescence of activated stellate cells limits liver fibrosis. Cell 134, 657–667 (2008). source
The Results section, “Senescent activated stellate cells accumulate in the cirrhotic liver,” reports that most SA-β-gal-positive cells in mouse fibrotic liver also expressed the stellate-cell marker αSMA. It reports p21 and p16 in injured mouse livers, but demonstrates their co-localization with αSMA in human liver sections. The Results section on immune modulators describes SASP-related gene expression in cultured human, not mouse, stellate cells; thus the full set of markers is not established for mouse stellate cells in liver-injury models. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [164] Cheng, N., Kim, K. H. & Lau, L. F. Senescent hepatic stellate cells promote liver regeneration through IL-6 and ligands of CXCR2. JCI Insight 7, e158207 (2022). source
The Results section, “Elimination of senescent cells impairs liver regeneration” (page unavailable), reports that mouse hepatic stellate cells isolated after partial hepatectomy showed increased SA-β-Gal activity, p16 (Cdkn2a) positivity, and SASP expression. It does not report Cdkn1a expression in those cells, so that marker is not supported by this source. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
Adipose tissue expression of IFI27, INHBA, BDNF, NRIP1 and CCAR2 is positively correlated with senescence in ageing and other conditions.
“Furthermore, the expression in adipose tissue of certain markers, including IFI27129, INHBA121, BDNF130, NRIP1131 and CCAR2132, is positively correlated with senescence in ageing and other conditions.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [129] Colón-Mesa, I. et al. Regulation of p27 and cdk2 expression in different adipose tissue depots in aging and obesity. Int. J. Mol. Sci. 22, 11745 (2021). source
The citation is attached to CCAR2. The Results (section 2.3) and Discussion describe other cell-cycle regulators and senescence markers, but searches for CCAR2 and its alternative name DBC1 found no passage linking its adipose-tissue expression to senescence. No page numbers were available in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [121] Palmer, A. K. et al. Targeting senescent cells alleviates obesity-induced metabolic dysfunction. Aging Cell 18, e12950 (2019). source
The Results section reports that adipose-tissue activin A correlated with senescent-cell burden in diet-induced obese mice, but it does not identify IFI27 in that finding. The citation to this paper is attached to IFI27; searches for IFI27 and its expanded name found no passage linking its adipose-tissue expression to senescence in ageing or other conditions. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [130] Song, H. D. et al. Aging-induced brain-derived neurotrophic factor in adipocyte progenitors contributes to adipose tissue dysfunction. Aging Dis. 11, 575–587 (2020). source
The Results section (“Pro-BDNF expression increased in visceral white adipose tissue with advanced age”; page not provided) reports that pro-BDNF and senescence-associated markers increased in epididymal white adipose tissue of older mice. The finding supports the BDNF portion of the sentence, but not its extension to adipose tissue generally or to conditions other than ageing. The other named markers have separate citations and are not assessed here. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
In primary biliary cirrhosis, senescence-associated markers are found in cholangiocytes.
“In the context of primary biliary cirrhosis, which is an autoimmune disease characterized by chronic, progressive cholestasis and liver failure, senescence-associated markers have been found in cholangiocytes165.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [165] Moncsek, A. et al. Targeting senescent cholangiocytes and activated fibroblasts with B-cell lymphoma-extra large inhibitors ameliorates fibrosis in multidrug resistance 2 gene knockout (Mdr2−/−) mice. Hepatology 67, 247–259 (2018). source
The Introduction and Results report senescent cholangiocytes in primary sclerosing cholangitis (PSC). The Discussion also describes senescent cholangiocytes in livers of patients with PSC, but the cited paper does not establish the claim for primary biliary cirrhosis. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Il1b, Il6 and Mmp13 are upregulated in old mouse kidneys.
“Il1b, Il6 and Mmp13 are also upregulated in old mouse kidneys140.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). source
- Premisecitation
SERPINE1 and CDKN2A produced by senescent glomerular endothelial cells increase with age in kidneys from healthy donors.
“SERPINE1 and CDKN2A, produced by senescent glomerular endothelial cells, increase with age in kidneys from healthy kidney donors140,145.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). source
- cites [145] Sis, B. et al. Accelerated expression of senescence associated cell cycle inhibitor p16INK4A in kidneys with glomerular disease. Kidney Int. 71, 218–226 (2007). source
- Premisecitation
SERPINE1 drives glomerulosclerosis in early kidney injury in diabetes.
“SERPINE1 drives glomerulosclerosis in early kidney injury in diabetes140,148.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). source
The Results identify PAI-1, encoded by SERPINE1, as a mediator of age-related glomerulosclerosis in mice. They do not establish that it drives glomerulosclerosis in early diabetic kidney injury; the human aging-nephropathy cohort explicitly excluded patients with diabetes (Results, “Urinary PAI-1 is associated with aging nephropathy in humans”; page unavailable). (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [148] Satriano, J. et al. Transition of kidney tubule cells to a senescent phenotype in early experimental diabetes. Am. J. Physiol. Cell Physiol. 299, C374–C380 (2010). source
The Results (‘4 Days’; page unavailable) report increased PAI-1, the protein encoded by SERPINE1, in diabetic rat kidneys at day 10. The Discussion (‘4 Days’; page unavailable) suggests that a senescent phenotype may contribute to diabetic fibrosis, but does not show that SERPINE1 drives glomerulosclerosis. The passage mentioning reduced glomerulosclerosis concerns p27 knockout, not SERPINE1. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Senescent cells are observed in kidneys of mouse models of acute kidney injury, diabetic nephropathy, glomerulonephropathy, chronic kidney disease and chronic ischaemic renal injury.
“Senescent cells are also observed in kidneys of mouse models of acute kidney injury, diabetic nephropathy, glomerulonephropathy, chronic kidney disease and chronic ischaemic renal injury140,144–150.”
Quote in the paperNot a substantial claim5 of 8 sources checked- cites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). source
The Results section reports senescent glomerular cells in aged mice, and the Discussion describes senescence in diabetic nephropathy and other glomerular diseases. Those passages support part of the disease-related claim, but they do not establish the full list as findings in mouse models: the paper does not report senescent kidney cells in models of acute kidney injury or chronic ischaemic renal injury. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [144] Zhang, L. et al. C/EBPɑ deficiency in podocytes aggravates podocyte senescence and kidney injury in aging mice. Cell Death Dis. 10, 684 (2019). source
The Results (Fig. 4; page unavailable) show senescence markers in the kidneys of aging mice, and the Discussion reports greater podocyte senescence and kidney injury after podocyte-specific C/EBPα deletion. The paper does not show senescent cells in mouse models of acute kidney injury, diabetic nephropathy, chronic kidney disease, or chronic ischaemic renal injury; its model is aging-related kidney injury. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [145] Sis, B. et al. Accelerated expression of senescence associated cell cycle inhibitor p16INK4A in kidneys with glomerular disease. Kidney Int. 71, 218–226 (2007). source
- cites [146] Kitada, K. et al. Hyperglycemia causes cellular senescence via a SGLT2- and p21-dependent pathway in proximal tubules in the early stage of diabetic nephropathy. J. Diabetes Complications 28, 604–611 (2014). sourceExperimental — accuracy not yet measured
- cites [147] Verzola, D. et al. Accelerated senescence in the kidneys of patients with type 2 diabetic nephropathy. Am. J. Physiol. Ren. Physiol. 295, F1563–F1573 (2008). source
- cites [148] Satriano, J. et al. Transition of kidney tubule cells to a senescent phenotype in early experimental diabetes. Am. J. Physiol. Cell Physiol. 299, C374–C380 (2010). source
The Abstract reports increased senescence-associated β-galactosidase activity in the cortical tubules of diabetic rat kidneys, supporting the diabetes-related observation. It does not establish that observation in a mouse model, and this paper does not provide evidence for the other kidney-injury models listed in the multi-citation sentence. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [149] Kim, S. R. et al. Increased cellular senescence in the murine and human stenotic kidney: effect of mesenchymal stem cells. J. Cell. Physiol. 236, 1332–1344 (2021). sourceExperimental — accuracy not yet measured
- cites [150] Westhoff, J. H. et al. Telomere shortening reduces regenerative capacity after acute kidney injury. J. Am. Soc. Nephrol. 21, 327–336 (2010). source
- Premisecitation
Senescent glomerular endothelial cells overexpress CDKN1A, TP53BP1, γH2AX and SERPINE1.
“Senescent glomerular endothelial cells overexpress CDKN1A, the DNA damage markers TP53BP1 and γH2AX, and SERPINE1140,142,143.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). source
- cites [142] Prattichizzo, F. et al. Short-term sustained hyperglycaemia fosters an archetypal senescence-associated secretory phenotype in endothelial cells and macrophages. Redox Biol. 15, 170–181 (2018). source
The Results section, “Endothelial cells and macrophages are SASP-carrying cells in vivo” (page unavailable), reports a senescence-associated signature in kidney endothelial cells, but does not identify them specifically as glomerular endothelial cells. The Results section on SOD-1 overexpression reports increased p21 (CDKN1A) and PAI-1 (SERPINE1) in cultured endothelial cells, not glomerular endothelial cells; our copy does not report TP53BP1 or γH2AX overexpression. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [143] Fang, Y. et al. Age-related GSK3β overexpression drives podocyte senescence and glomerular aging. J. Clin. Invest. 132, e141848 (2022). source
The Results section on senescence signaling in glomerular podocytes reports increased p21 (CDKN1A), uses γH2AX staining to assess senescence, and identifies PAI-1 (SERPINE1) as a senescence-associated factor. Those findings concern podocytes, not glomerular endothelial cells; γH2AX is not reported there as overexpressed, and the searched passages do not report TP53BP1 overexpression. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Iron accumulation from vascular and haemolytic injuries or other causes promotes fibrosis and senescence in the kidney and other organs.
“Of note, a recent study demonstrated that iron accumulation, as a result of vascular and haemolytic injuries or other causes, promotes fibrosis and senescence in the kidney and other organs156.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [156] Maus, M. et al. Iron accumulation drives fibrosis, senescence and the senescence-associated secretory phenotype. Nat. Metab. 5, 2111–2130 (2023). source
- Premisecitation
A different study did not identify senescent markers in α-cells from NOD mice or in the pancreas from donors with type 1 diabetes.
“However, a different study did not identify any senescent markers in α-cells from NOD mice or in the pancreas from donors with type 1 diabetes187.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [187] Brawerman, G., Ntranos, V. & Thompson, P. J. ɑ cell dysfunction in type 1 diabetes is independent of a senescence program. Front. Endocrinol. 13, 932516 (2022). source
The Results sections report no Cdkn1a or Mmp2 staining in NOD mouse α-cells and no CDKN1A staining in α-cells from human type 1 diabetes donors. But the human donor pancreas sections did contain CDKN1A-positive insulin-producing cells, so the absence of markers applies to α-cells, not to the pancreas as a whole. Page numbers are unavailable in our copy. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
Senescent lung fibroblasts have a pivotal role in the pathogenesis of fibrotic lung diseases.
“Similarly, senescent lung fibroblasts have a pivotal role in the pathogenesis of fibrotic lung diseases156,172.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [156] Maus, M. et al. Iron accumulation drives fibrosis, senescence and the senescence-associated secretory phenotype. Nat. Metab. 5, 2111–2130 (2023). source
The Main section says senescent cells can directly contribute to fibrosis, while also noting that senescence can limit fibrogenesis. The Discussion identifies senescence-associated markers in lung fibroblasts and links such cells to idiopathic pulmonary fibrosis, but the paper does not establish that senescent lung fibroblasts have a pivotal role across fibrotic lung diseases. Page numbers are unavailable in our copy. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [172] Zhong, W. et al. Extracellular HSP90α promotes cellular senescence by modulating TGF-β signaling in pulmonary fibrosis. FASEB J. 36, e22475 (2022). source
- Premisecitation
Sex-biased islet β-cell dysfunction can be caused by maturity-onset diabetes of the young secondary to the MAFA S64F variant, which leads to diabetes and accumulation of senescent cells in males.
“Additionally, sex-biased islet β-cell dysfunction can be caused by a type of maturity-onset diabetes of the young secondary to the MAFA S64F variant, where a single amino acid substitution in the transcription factor MAFA leads to diabetes and accumulation of senescent cells in males185.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [185] Walker, E. M. et al. Sex-biased islet β cell dysfunction is caused by the MODY MAFA S64F variant by inducing premature aging and senescence in males. Cell Rep. 37, 109813 (2021). source
- Premisecitation
Increased cell cycle arrest markers, SASP factors, SA-β-gal activity and γH2AX are associated with increased cellular senescence in chronic obstructive pulmonary disease.
“Studies have associated increased cell cycle arrest markers (CDK1A and p53), SASP factors (CXCL5, CXCL8 and VEGFA), SA-β-gal activity and γH2AX with increased cellular senescence in chronic obstructive pulmonary disease175,176.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [175] Kuźnar-Kamińska, B. et al. Serum from patients with chronic obstructive pulmonary disease induces senescence-related phenotype in bronchial epithelial cells. Sci. Rep. 8, 12940 (2018). source
The Results and Discussion report that bronchial epithelial cells exposed to serum from COPD patients had increased p21, SA-β-Gal and γ-H2A.X, along with increased secretion of the SASP factors VEGF, CXCL8 and CXCL5. The paper does not report an increase in p53; it measured p21 as the cell-cycle inhibitor. Its findings are from serum-treated cells in culture, rather than direct measurements of senescence in patients with COPD. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [176] Xiaofei, Y., Tingting, L., Xuan, W. & Zhiyi, H. Erythromycin attenuates oxidative stress-induced cellular senescence via the PI3K–mTOR signaling pathway in chronic obstructive pulmonary disease. Front. Pharmacol. 13, 1043474 (2022). source
The Introduction links P53 and P21 to cell-cycle arrest and senescence in COPD-related models. Results §3.3 reports increased P53, P21 and SA-β-gal-positive cells in H₂O₂-treated bronchial epithelial cells. Our copy does not identify CXCL5, CXCL8 or VEGFA as SASP factors here, or report γH2AX as a senescence marker, so it supports only part of the cited list. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
KRAS mutations are found in early stages of pancreatic ductal adenocarcinoma, preceding senescence markers such as p53, CDKN2A and SMAD4.
“These KRAS mutations are also found in the early stages of pancreatic ductal adenocarcinoma, preceding the appearance of senescence markers such as p53, CDKN2A and SMAD4196.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [196] Aguirre, A. J. et al. Activated Kras and Ink4a/Arf deficiency cooperate to produce metastatic pancreatic ductal adenocarcinoma. Genes. Dev. 17, 3112–3126 (2003). source
The Discussion states that mutant KRAS is detected in the earliest human PanINs, and the introductory section explicitly places INK4A/ARF mutations at a later PanIN stage. The Molecular analyses section says p53 and SMAD4 alterations often occur in advanced human pancreatic adenocarcinomas, but does not explicitly establish their order relative to KRAS or identify all three genes as senescence markers. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
In aged mice, senescence markers are found in osteoblast progenitors, osteoblasts and osteocytes using magnetic-activated cell sorting followed by qPCR.
“In aged mice, markers of senescence have been found in osteoblast progenitors, osteoblasts and osteocytes using magnetic-activated cell sorting followed by qPCR.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [93] Farr, J. N. et al. Identification of senescent cells in the bone microenvironment. J. Bone Miner. Res. 31, 1920–1929 (2016). source
- Premisecitation
Focal radiation therapy induces skeletal senescence characterized by early Cdkn1a and late Cdkn2a expression.
“Disease states resulting from focal radiation therapy also induce skeletal senescence, characterized — similar to fracture — by early Cdkn1a and late Cdkn2a expression202.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [202] Chandra, A. et al. Targeted reduction of senescent cell burden alleviates focal radiotherapy-related bone loss. J. Bone Miner. Res. 35, 1119–1131 (2020). source
- Premisecitation
SERPINE1 induces mouse alveolar type 2 cellular senescence through activation of the p53-CDKN1A-RB1 pathway in fibrotic lung disease.
“Moreover, SERPINE1 was shown to induce mouse alveolar type 2 (ATII) cellular senescence through activation of the p53–CDKN1A–RB1 pathway in fibrotic lung disease170.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [170] Jiang, C. et al. Serpine 1 induces alveolar type II cell senescence through activating p53–p21–Rb pathway in fibrotic lung disease. Aging Cell 16, 1114–1124 (2017). source
- Premisecitation
In a mouse model of type 2 diabetes mellitus, osteocyte-enriched samples show increased Cdkn2a and Cdkn1a and SASP markers predominantly related to NF-κB signalling and matrix metalloproteinases.
“In a mouse model of type 2 diabetes mellitus (high-fat diet with streptozotocin), osteocyte-enriched samples demonstrated increased expression of Cdkn2a and Cdkn1a, along with SASP markers predominantly related to NF-κB signalling and matrix metalloproteinases204.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [204] Eckhardt, B. A. et al. Accelerated osteocyte senescence and skeletal fragility in mice with type 2 diabetes. JCI Insight 5, e135236 (2020). source
- Premisecitation
In injury-induced senescence mouse models, SASP factors including cytokines, chemokines and proteases are robustly upregulated.
“In injury-induced senescence mouse models, SASP factors including cytokines (IL-1α, IL-1β, IL-10, TNF, TNFRSF1B and TNFSF12), chemokines (CXCL2 and CXCL12) and proteases (MMP8 and MMP12) are robustly upregulated168.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [168] Yao, H. et al. Timing and cell specificity of senescence drives postnatal lung development and injury. Nat. Commun. 14, 273 (2023). source
The Results section, “Neonatal hyperoxia induces senescence-associated secretory phenotype (SASP)” (page unavailable), reports significant increases in IL-1α, IL-1β, CXCL2, CXCL12, and TNFRSF1B in lungs of hyperoxia-exposed neonatal mice. It lists IL-10, TNF, TNFSF12, MMP8, and MMP12 among the factors tested, but does not report that those factors were significantly increased; the citing sentence overstates the finding for the full list. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
In idiopathic pulmonary fibrosis, senescent fibroblasts show enhanced anti-apoptotic BCL2 family proteins BCL2L2, BCL2 and BCL2L1 and reduced pro-apoptotic BAK1 and BAX.
“Another reported hallmark of senescent fibroblasts, in idiopathic pulmonary fibrosis, is the enhanced expression of anti-apoptotic BCL2 family proteins such as BCL2L2, BCL2 and BCL2L1 along with reduced levels of the pro-apoptotic proteins BAK1 and BAX180,181.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [180] Sanders, Y. Y. et al. Histone deacetylase inhibition promotes fibroblast apoptosis and ameliorates pulmonary fibrosis in mice. Eur. Respir. J. 43, 1448–1458 (2014). source
- cites [181] Yosef, R. et al. Directed elimination of senescent cells by inhibition of BCL-W and BCL-XL. Nat. Commun. 7, 11190 (2016). source
The Results section ('Senescent cells upregulate proteins of the Bcl-2 family'; page unavailable) reports increased BCL-W, BCL-XL and BCL-2 in experimentally senescent fibroblasts. It does not establish that finding in idiopathic pulmonary fibrosis or report reduced BAK1 and BAX; searches for those terms and pulmonary fibrosis found no such result. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Mouse models of insulin resistance induced by high-fat diet and S961 show elevated SA-β-gal activity and expression of Cdkn1a, Cdkn2a and SASP factors Il1a, Il6, Tnf, Ccl3, Ccl4, Ccl5, Cxcl1 and Cxcl10.
“Mouse models of insulin resistance induced by a high-fat diet and the insulin receptor antagonist S961 exhibit elevation of SA-β-gal activity, and expression of Cdkn1a, Cdkn2a and the SASP factors Il1a, Il6, Tnf, Ccl3, Ccl4, Ccl5, Cxcl1 and Cxcl10 (ref. 182).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [182] Aguayo-Mazzucato, C. et al. Acceleration of β cell aging determines diabetes and senolysis improves disease outcomes. Cell Metab. 30, 129–142.e4 (2019). source
The Results section, “Insulin resistance accelerated the appearance of senescent β-cells” (page unavailable), reports increased β-gal-positive cells and aging and SASP gene-expression indices after both S961 treatment and high-fat diet. The Methods section defines those indices to include p21, p16, Il1a, Il6 and TNFα, but not Ccl3, Ccl4, Ccl5, Cxcl1 or Cxcl10; it also does not establish that every listed gene rose individually in both models. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
In late puberty, mesenchymal stem/progenitor cells undergo normal programmed senescence indicated by loss of nestin expression.
“In late puberty, mesenchymal stem/progenitor cells undergo normal programmed senescence, indicated by the loss of nestin expression199.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [199] Li, C. et al. Programmed cell senescence in skeleton during late puberty. Nat. Commun. 8, 1312 (2017). source
- Premisecitation
In human bone biopsies, older women with mean age 78 years show upregulated mRNA expression of CDKN2A, CDKN1A and senescence-associated chemokines CCL2, CCL3, CCL8 and CSF1 compared with younger women.
“In human bone biopsies, older women (mean age 78 years) show upregulated mRNA expression of CDKN2A, CDKN1A and senescence-associated chemokines (for example, CCL2, CCL3, CCL8 and CSF1)93 compared with younger women.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [93] Farr, J. N. et al. Identification of senescent cells in the bone microenvironment. J. Bone Miner. Res. 31, 1920–1929 (2016). source
Materials and Methods reports bone biopsies from older women with a mean age of 78 years, and Results reports higher p16Ink4a (CDKN2A) and p21 (CDKN1A) expression than in younger women. Results also reports 12 elevated SASP factors, but the passages do not identify CCL2, CCL3, CCL8 and CSF1 as elevated in the human biopsies; the paper calls those factor findings preliminary because the group-wide analysis was not statistically significant. Page numbers are unavailable in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
CDKN1A, p53 and γH2AX are upregulated in mouse and human lungs upon senescence.
“Additionally, CDKN1A, p53 and γH2AX are also upregulated in mouse and human lungs upon senescence168,169.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [168] Yao, H. et al. Timing and cell specificity of senescence drives postnatal lung development and injury. Nat. Commun. 14, 273 (2023). source
The Results sections on p21/p53 and DNA damage (pages unavailable) report increased Cdkn1a (p21), phosphorylated p53, and γH2AX in neonatal mouse lungs after hyperoxia, but total p53 did not increase and γH2AX rose only at the early time point. The Discussion reports increased p21/γH2AX colocalization in hyperoxia-exposed human infant airways, but does not establish that all three markers are upregulated in human lungs upon senescence. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [169] Kobayashi, Y. et al. Persistence of a regeneration-associated, transitional alveolar epithelial cell state in pulmonary fibrosis. Nat. Cell Biol. 22, 934–946 (2020). source
The Results sections on mouse alveolar regeneration and human fibrotic lungs report increased CDKN1A and γH2AX in specific transitional epithelial cells associated with senescence and DNA damage. The human-lung Results also report enriched p53 signalling, but not an increase in p53 itself. The evidence concerns injured mouse lungs and human lungs with pulmonary fibrosis, rather than mouse and human lungs generally upon senescence; page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Iron accumulates in senescent fibrotic tissues from both mouse and human.
“By contrast, recent studies provide evidence for the accumulation of iron in the senescent fibrotic tissues from both mouse and human, thereby emphasizing the role of cellular metabolism in senescence156.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [156] Maus, M. et al. Iron accumulation drives fibrosis, senescence and the senescence-associated secretory phenotype. Nat. Metab. 5, 2111–2130 (2023). source
- Premisecitation
Extracellular HSP90AA1 activates TGFβ1 signalling and promotes Trp53 and Cdkn1a expression to induce mouse and human pulmonary fibroblast senescence.
“Extracellular HSP90AA1 activates TGFβ1 signalling and promotes Trp53 and Cdkn1a expression to induce mouse and human pulmonary fibroblast senescence172.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [172] Zhong, W. et al. Extracellular HSP90α promotes cellular senescence by modulating TGF-β signaling in pulmonary fibrosis. FASEB J. 36, e22475 (2022). source
The Results and Discussion report that extracellular HSP90α activates TGF-β signaling, promotes p53 and p21 transcription, and induces senescence in human IMR90 lung fibroblasts. The Methods identify those cells as human; the mouse experiments examined lung tissue, not the same mechanism in isolated mouse pulmonary fibroblasts. The cited passages also identify TGF-β signaling without establishing the β1 isoform specifically. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
CDKN2A-mediated senescence modulates the cigarette smoke-mediated senescence response in a mouse model of chronic obstructive pulmonary disease.
“CDKN2A-mediated senescence has also been shown to modulate the cigarette smoke-mediated senescence response in the mouse model for chronic obstructive pulmonary disease177,178.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [177] Cottage, C. T. et al. Targeting p16-induced senescence prevents cigarette smoke-induced emphysema by promoting IGF1/Akt1 signaling in mice. Commun. Biol. 2, 307 (2019). source
- cites [178] Kaur, G., Muthumalage, T. & Rahman, I. Clearance of senescent cells reverts the cigarette smoke-induced lung senescence and airspace enlargement in p16-3MR mice. Aging Cell 22, e13850 (2023). source
- Premisecitation
Senescence markers including Cdkn1a, Cdkn2a and loss of nuclear Hmgb1 are found in α-cells in NOD mice, at a lower rate than in β-cells from the same mice.
“Markers of senescence have also been found in α-cells, such as Cdkn1a, Cdkn2a and loss of nuclear Hmgb1 in NOD mice, albeit at a lower rate than in β-cells in the same mice186.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [186] Rubin de Celis, M. F. et al. PAHSAs reduce cellular senescence and protect pancreatic β cells from metabolic stress through regulation of Mdm2/p53. Proc. Natl Acad. Sci. USA 119, e2206923119 (2022). source
- Premisecitation
The same senescence profile found in acinar-to-ductal metaplasia is found in individuals with chronic pancreatitis.
“The same profile was found in individuals with chronic pancreatitis194.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [194] Hu, C. et al. The unique pancreatic stellate cell gene expression signatures are associated with the progression from acute to chronic pancreatitis. Comput. Struct. Biotechnol. J. 19, 6375–6385 (2021). source
The Methods section measures acinar-to-ductal metaplasia in mice, while the Discussion links a pancreatic stellate-cell marker to chronic pancreatitis in clinical datasets. Neither passage identifies a senescence profile or shows that the same profile occurs in metaplasia and people with chronic pancreatitis; searches for “senescence” and that comparison found no such passage (page numbers unavailable). (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
In ageing and the listed disease states, skeletal cellular senescence can be observed through histological staining of SA-β-gal activity, SADS and TAF, typically in bone-embedded osteocytes.
“In both ageing and the disease states listed above, skeletal cellular senescence can also be observed through histological staining of SA-β-gal activity203, SADS93,200,204,205 and TAF200,203,204, typically in bone-embedded osteocytes206.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [203] Chandra, A. et al. Targeted clearance of p21- but not p16-positive senescent cells prevents radiation-induced osteoporosis and increased marrow adiposity. Aging Cell 21, e13602 (2022). source
- cites [93] Farr, J. N. et al. Identification of senescent cells in the bone microenvironment. J. Bone Miner. Res. 31, 1920–1929 (2016). source
- cites [200] Saul, D. et al. Modulation of fracture healing by the transient accumulation of senescent cells. eLife 10, e69958 (2021). source
The Introduction (page unavailable) includes osteocytes among several skeletal cell populations linked to ageing, and the SADS methods describe senescence detection in bone sections. But the paper does not establish that senescent cells are typically bone-embedded osteocytes across ageing and the cited disease states; the Discussion says the identity of senescent cells in its fracture callus remains unclear. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
Cdkn2a is upregulated about 20-fold in mammary stromal cells of aged mice 25-32 months old.
“Expression of Cdkn2a is upregulated ~20-fold in mammary stromal cells of aged (25–32 months) mice230.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [230] Dong, Q. et al. Aging is associated with an expansion of CD49fhi mammary stem cells that show a decline in function and increased transformation potential. Aging 8, 2754–2776 (2016). source
- Premisecitation
Cisplatin and doxorubicin elicit SASP components such as IL-6, Ccl2 and Tgfb1.
“Moreover, they elicit components of the SASP such as IL-6 (refs. 242,243), Ccl2 (ref. 243) and Tgfb1 (ref. 243).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [242] Du, D. et al. Senotherapy protects against cisplatin-induced ovarian injury by removing senescent cells and alleviating DNA damage. Oxid. Med. Cell. Longev. 2022, 9144644 (2022).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [243] Gao, Y. et al. Increased cellular senescence in doxorubicin-induced murine ovarian injury: effect of senolytics. GeroScience 45, 1775–1790 (2023). source
- Premisecitation
Mouse models of melanoma and human nevi show accumulation of SA-β-gal+-CDKN2A+ foci.
“Mouse models of melanoma and human nevi (both oncogene driven) show accumulation of SA-β-gal+–CDKN2A+ foci224,225.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [224] Burd, C. E. et al. Monitoring tumorigenesis and senescence in vivo with a p16INK4a-luciferase model. Cell 152, 340–351 (2013). source
The Results section (“p16LUC Signals Cancer”; page unavailable) reports focal p16INK4a-promoter activity in an oncogene-driven mouse melanoma model. It does not establish that those foci are SA-β-gal-positive, and the cited paper does not report the claimed foci in human nevi. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [225] Michaloglou, C. et al. BRAFE600-associated senescence-like cell cycle arrest of human naevi. Nature 436, 720–724 (2005). source
In the Nature article’s human-naevi results, all 23 congenital naevi tested showed SA-β-gal activity, and naevi contained p16INK4a-expressing cells (p16INK4a is encoded by CDKN2A). But p16INK4a staining was mosaic, and the paper does not establish an accumulation of uniformly double-positive foci. This source addresses the human-naevi part of the sentence, not the mouse-model part. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Secretion of SASP factors such as Ccl8, CCL5 and Crlf1 increases with age in mouse ovaries.
“The secretion of SASP factors such as Ccl8 (ref. 239), CCL5 (ref. 241) and the pro-inflammatory related gene Crlf1 (ref. 239) also increases with age.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [239] Ansere, V. A. et al. Cellular hallmarks of aging emerge in the ovary prior to primordial follicle depletion. Mech. Ageing Dev. 194, 111425 (2021). source
The Results (Transcriptomic analysis; page unavailable) report that Ccl8 and Crlf1 expression increased with age in mouse ovaries, with RT-qPCR confirming the RNA-seq findings. The paper measured gene expression, not secretion of those factors. CCL5 is attached to a different citation in the citing sentence and is not assessed here. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [241] Shen, L. et al. CCL5 secreted by senescent theca-interstitial cells inhibits preantral follicular development via granulosa cellular apoptosis. J. Cell. Physiol. 234, 22554–22564 (2019). source
- Premisecitation
Repeated UVB exposure in human keratinocytes and mouse epidermis results in loss of LMNB1.
“Repeated UVB exposure in human keratinocytes and mouse epidermis results in loss of LMNB1 (ref. 217).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [217] Wang, A. S., Ong, P. F., Chojnowski, A., Clavel, C. & Dreesen, O. Loss of lamin B1 is a biomarker to quantify cellular senescence in photoaged skin. Sci. Rep. 7, 15678 (2017). source
The Results section reports lamin B1 loss in human keratinocytes after UVB exposure and in mouse epidermis after irradiation for 10 consecutive days. The Methods describe a single irradiation of the keratinocyte cultures, so the source does not support repeated UVB exposure in human keratinocytes. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Other inflammation features, including macrophage crown-like structures and Cxcl1, Cxcl2, Cxcl16, Csf1, Csf3, Ccl5 and Il6, are elevated in mammary glands of aged mice.
“Other features of inflammation, such as macrophage crown-like structures230 and Cxcl1, Cxcl2, Cxcl16, Csf1, Csf3, Ccl5 and Il6 (ref. 231), are also elevated in mammary glands of aged mice.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [230] Dong, Q. et al. Aging is associated with an expansion of CD49fhi mammary stem cells that show a decline in function and increased transformation potential. Aging 8, 2754–2776 (2016). source
The Results section, “Aged MaSCs and stromal cells show an elevated inflammatory response” (page unavailable), reports increased inflammatory-related gene expression in old mammary cells, but our copy does not identify Cxcl1, Cxcl2, Cxcl16, Csf1, Csf3, Ccl5 or Il6 as elevated. The crown-like-structure finding is reported there too, although the citing sentence attaches a different reference to that finding. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [231] Li, C. M. et al. Aging-associated alterations in mammary epithelia and stroma revealed by single-cell RNA sequencing. Cell Rep. 33, 108566 (2020). source
- Premisecitation
Mouse models of UV radiation show increased expression of Mmp1, Mmp2 and Mmp3 and other SASP factors such as TNF, IL-1β and IL-6.
“Mouse models of UV radiation show increased expression of Mmp1, Mmp2 and Mmp3, and of other SASP factors such as TNF, IL-1β and IL-6 (refs. 220–223).”
Quote in the paperNot a substantial claim4 of 4 sources checked- cites [220] Jo, K. et al. An anthocyanin-enriched extract from vaccinium uliginosum improves signs of skin aging in UVB-induced photodamage. Antioxidants 9, 844 (2020). source
Results §3.5 reports UVB-related differences in mouse-skin MMP expression, including MMP-2, but says MMP-3 did not differ significantly; it does not report a measurement of MMP-1 expression. Results §3.7 reports increased IL-6 and TNF-α levels in UVB-irradiated mice, but reports IL-12 rather than IL-1β. The cytokine findings concern protein levels, not gene expression. Page numbers are unavailable in our copy. (LLM, conf=0.89)
Experimental — accuracy not yet measured - cites [221] Kong, S. et al. Preparation of cod skin collagen peptides/chitosan-based temperature-sensitive gel and its anti-photoaging effect in skin. Drug. Des. Devel. Ther. 17, 419–437 (2023). source
The Results sections on UV-induced MMP-3 expression and ROS/NF-κB signaling (page not supplied) report higher MMP-3, TNF-α, IL-1β and IL-6 in UV-irradiated mouse skin than in controls. The paper does not report increased MMP-1 or MMP-2 expression in those mice; it mentions MMP-1 only in describing how it acts with MMP-3. It calls the cytokines inflammatory factors, not SASP factors. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [222] Quan, T. et al. Dermal fibroblast CCN1 expression in mice recapitulates human skin dermal aging. J. Invest. Dermatol. 141, 1007–1016 (2020). source
The Results and Discussion section on elevated MMP expression (page unavailable) reports increased MMPs in COL1A2-CCN1 mouse fibroblasts. But the mice were a genetic model of dermal aging, not a UV-radiation model, and the elevated enzymes reported were MMP-9, -10, -13, -24 and -27—not MMP-1, -2 or -3. The passages do not report increased TNF, IL-1β or IL-6 in these mice. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [223] Alimirah, F. et al. Cellular senescence promotes skin carcinogenesis through p38MAPK and p44/42MAPK signaling. Cancer Res. 80, 3606–3619 (2020). source
The Results section on TPA-induced senescence reports increased Mmp3 in mouse skin, supporting one factor in the claim, but the mice were treated with TPA, not UV radiation. The paper does not report increases in mouse-skin Mmp1, Mmp2, TNF or IL-1β; it explicitly reports no increase in Il-6 after TPA treatment (page unavailable in our copy). (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
In ovaries from mice of advanced reproductive age, cells classified as senescent have increased Cdkn2a, Cdkn1a, Serpine1 and Hmgb1.
“In ovaries from mice of advanced reproductive age, cells classified as senescent are characterized by increased expression of Cdkn2a (refs. 238–240), Cdkn1a, Serpine1 and Hmgb1 (ref. 239).”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [238] Krishnamurthy, J. et al. Ink4a/Arf expression is a biomarker of aging. J. Clin. Invest. 114, 1299–1307 (2004). source
Table 1 (IHC and SA-β-gal staining; page unavailable) reports a 30.5-fold increase in p16INK4a expression in old mouse ovaries and staining in ovarian stroma, supporting the Cdkn2a portion. The paper does not establish that the ovarian cells were classified as senescent or report increased ovarian Cdkn1a, Serpine1, or Hmgb1. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [239] Ansere, V. A. et al. Cellular hallmarks of aging emerge in the ovary prior to primordial follicle depletion. Mech. Ageing Dev. 194, 111425 (2021). source
The Results (“Senescence markers”; page not provided) report increased ovarian Cdkn1a, Cdkn2a, PAI-1/Serpine1 and HMGB1 expression in older mice. The Methods describe qPCR of ovarian samples, not expression measured specifically in cells classified as senescent. That cell-specific part of the claim is unsupported. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [240] Liu, M. et al. Cell-free fat extract improves ovarian function and fertility in mice with advanced age. Front. Endocrinol. 13, 912648 (2022). source
The Results section on aged ovarian microenvironments reports increased P16, a senescence marker, in granulosa cells from aged mice. The paper reports increased P21 in an in-vitro senescent human granulosa-cell model, not in aged mouse ovaries. Our copy does not report increased Serpine1 or Hmgb1 in those ovaries, or show that cells classified as senescent express all four markers. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Immunostaining reveals an age-related increase in the frequency of ducts expressing the SASP factor COX2.
“Immunostaining reveals an increase with age of the frequency of ducts expressing the SASP factor COX2 (ref. 230).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [230] Dong, Q. et al. Aging is associated with an expansion of CD49fhi mammary stem cells that show a decline in function and increased transformation potential. Aging 8, 2754–2776 (2016). source
The Results (Figure 4c; page unavailable) report COX2-positive staining in a higher proportion of mammary ducts from old mice (48%) than young mice (10%). The Discussion links increased COX2 to inflammation and discusses cellular senescence, but the paper does not identify COX2 as a SASP factor. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Chromatin aberrations reinforcing senescence are common in skin senescence and are characterized by nuclear foci positive for TP53BP1 and PML.
“Chromatin aberrations reinforcing senescence are a common feature of skin senescence and are characterized by nuclear foci positive for TP53BP1 and PML211,212.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [211] Coppe, J. P. et al. Senescence-associated secretory phenotypes reveal cell-nonautonomous functions of oncogenic RAS and the p53 tumor suppressor. PLoS Biol. 6, 2853–2868 (2008). source
The Results describe secretory profiles in senescent fibroblasts, including cells derived from neonatal foreskin, while the Discussion focuses on the senescence-associated secretory phenotype. Searches for TP53BP1, PML, and chromatin foci found no passage establishing that these foci are common in skin senescence or reinforce it. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites [212] Waldera Lupa, D. M. et al. Characterization of skin aging-associated secreted proteins (SAASP) produced by dermal fibroblasts isolated from intrinsically aged human skin. J. Invest. Dermatol. 135, 1954–1968 (2015). source
- Premisecitation
These aged mouse ovary cells exhibit increased lysosomal content, indicated by lipofuscin aggregates and SA-β-gal staining in the stromal compartment.
“Additionally, these cells exhibit increased lysosomal content, as indicated by accumulation of lipofuscin aggregates (known as ‘aggresomes’)239 and by SA-β-gal staining in the stromal compartment241.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [239] Ansere, V. A. et al. Cellular hallmarks of aging emerge in the ovary prior to primordial follicle depletion. Mech. Ageing Dev. 194, 111425 (2021). source
Citation 241 is attached to the SA-β-gal staining in the stromal compartment, not to the lipofuscin finding cited as 239. The Discussion mentions β-galactosidase staining only as a comparator for lipofuscin staining; the passages found do not report SA-β-gal staining in ovarian stroma (searched for SA-β-gal, stromal compartment, and ovarian stroma). (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [241] Shen, L. et al. CCL5 secreted by senescent theca-interstitial cells inhibits preantral follicular development via granulosa cellular apoptosis. J. Cell. Physiol. 234, 22554–22564 (2019). source
- Premisecitation
Single-cell expression and chromatin accessibility assays of post-menopausal human ovaries show SASP-associated genes expressed in stromal cells, endothelial cells and perivascular endothelial cells.
“Single-cell expression and chromatin accessibility assays of post-menopausal human ovaries revealed that SASP-associated genes were expressed in stromal cells (SERPINE1, TIMP1, TIMP2, IGFBP2, IGFBP3 and IGFBP4), endothelial cells (IGFBP7) and perivascular endothelial cells (CDKN1A).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [246] Lengyel, E. et al. A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing. Cell Rep. 41, 111838 (2022). source
The Results section on ligand-receptor interactions (page not provided) reports expression of SERPINE1, TIMP1, TIMP2 and IGFBP2/3/4 in ovarian stromal cells. The provided passages and searches for IGFBP7 and CDKN1A do not substantiate the claimed expression of those genes in endothelial and perivascular endothelial cells, respectively. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
The senescence-associated tissue microenvironment promotes colon cancer formation in human colon epithelial cells and human-derived colon organoids.
“The senescence‐associated tissue microenvironment promotes colon cancer formation in human colon epithelial cells and in human-derived colon organoids266.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [266] Guo, Y. et al. Senescence-associated tissue microenvironment promotes colon cancer formation through the secretory factor GDF15. Aging Cell 18, e13013 (2019). source
The Results section reports that senescent fibroblasts increased proliferation in colon epithelial cell lines and primary human colon organoids, and increased migration and invasion in the cell lines. It concludes that these effects *may* promote adenoma or colorectal cancer formation; the experiments described do not establish cancer formation in the cells or organoids as the citing sentence states. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Findingnone given
SA-β-gal staining marks increased lysosomal content in 11 tissues.
“SA-β-gal staining marks increased lysosomal content in 11 tissues”
Quote in the paperNot a substantial claim - Findingown data
CDKN2A and CDKN1A are the predominantly reported markers for cell cycle arrest.
“Notably, CDKN2A and CDKN1A emerge as the predominantly reported markers for cell cycle arrest.”
Quote in the paperNot a substantial claim - Findingown data
IL-6, TNF, IL-1α, IL-1β, SERPINE1, and TGFβ1 have been reported in more than ten tissues within SASP.
“Within the SASP, IL-6, TNF, IL-1α, IL-1β, SERPINE1 (also known as PAI-1) and TGFβ1 have been reported in more than ten tissues.”
Quote in the paperNot a substantial claim - Findingown data
Upregulation of anti-apoptotic BCL2 was reported in four tissues.
“Upregulation of the anti-apoptotic factor BCL2 was reported in four tissues.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Individual senescence hallmarks are not sufficient to define the senescent state because they occur in other cell states.
“It is important to note that the presence of individual hallmarks is not sufficient to define the senescent state, as they can also be found in other cell states.”
Quote in the paperSubstantial claim - Interpretationreasoning
There is no specific marker exclusively indicative of senescent cell cycle arrest.
“However, there is currently no specific marker exclusively indicative of the senescent cell cycle arrest.”
Quote in the paperSubstantial claim - Premisenone given
Senescence can spread to neighboring cells as secondary senescence.
“Senescence can be transmitted to neighbouring cells, a phenomenon commonly known as secondary senescence.”
Quote in the paperNot a substantial claim - Interpretationcitation
Ample evidence exists of false-positive senescence when individual markers are used.
“Beyond marker prioritization, we do not recommend the use of individual markers to determine the senescence state of cells because ample evidence exists of so-called false-positive senescence59 (Box 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [59] Ogrodnik, M., Salmonowicz, H., Jurk, D. & Passos, J. F. Expansion and cell-cycle arrest: common denominators of cellular senescence. Trends Biochem. Sci. 44, 996–1008 (2019). source
- Premisecitation
SA-β-gal staining has been identified in human cirrhotic livers.
“Although less is known about hepatocyte senescence in humans than in mice, senescence-associated markers such as SA-β-gal staining have been identified in human cirrhotic livers160.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [160] Wiemann, S. U. et al. Hepatocyte telomere shortening and senescence are general markers of human liver cirrhosis. FASEB J. 16, 935–942 (2002). source
- Premisecitation
Lipofuscin is present in adult and old tubular cells in the medulla and in some cortical tubules in old kidneys.
“Lipofuscin is present in adult and old tubular cells in the medulla and in some cortical tubules in old kidneys151.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [151] Melk, A. et al. Expression of p16INK4a and other cell cycle regulator and senescence associated genes in aging human kidney. Kidney Int. 65, 510–520 (2004). source
- Premisecitation
PTGS1 and PTGS2 expression increases in ageing kidneys.
“The expression of PTGS1 and PTGS2 increases in ageing kidneys151.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [151] Melk, A. et al. Expression of p16INK4a and other cell cycle regulator and senescence associated genes in aging human kidney. Kidney Int. 65, 510–520 (2004). source
- Premisecitation
CDKN2A expression increases in renal arterial vascular smooth myocytes.
“CDKN2A expression increases in renal arterial vascular smooth myocytes145,151.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [145] Sis, B. et al. Accelerated expression of senescence associated cell cycle inhibitor p16INK4A in kidneys with glomerular disease. Kidney Int. 71, 218–226 (2007). source
- cites [151] Melk, A. et al. Expression of p16INK4a and other cell cycle regulator and senescence associated genes in aging human kidney. Kidney Int. 65, 510–520 (2004). source
- Premisecitation
Mature human adipocytes become senescent in obesity and after hyperinsulinaemia challenge, showing a premature senescence transcriptome and secretory profile.
“Mature human adipocytes undergo senescence in obesity and following hyperinsulinaemia challenge, displaying a premature senescence transcriptome and secretory profile including upregulated gene expression of CDKN2A, CDKN1A and CCND1 and downregulated expression of HMGB1 and HMGB2 (ref. 126).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [126] Li, Q. et al. Obesity and hyperinsulinemia drive adipocytes to activate a cell cycle program and senesce. Nat. Med. 27, 1941–1953 (2021). source
- Premisecitation
Senescence is observed in several human and mouse kidney cell types during healthy ageing and nephropathy.
“Senescence is observed in several human and mouse kidney cell types during healthy ageing and nephropathy.”
Quote in the paperNot a substantial claim - Premisecitation
KL, SIRT1, SREBF1, GDF15, MDM2, RRAD and GBP1 are reported as negative regulators of cellular senescence in adipose tissue.
“By contrast, markers such as KL133, SIRT1134, SREBF1135, GDF15136, MDM2137, RRAD138 and GBP1139 are reported as negative regulators of cellular senescence in adipose tissue.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [133] Ullah, M. & Sun, Z. Klotho deficiency accelerates stem cells aging by impairing telomerase activity. J. Gerontol. A Biol. Sci. Med. Sci. 74, 1396–1407 (2019). source
- cites [134] Khanh, V. C. et al. Aging impairs beige adipocyte differentiation of mesenchymal stem cells via the reduced expression of Sirtuin 1. Biochem. Biophys. Res. Commun. 500, 682–690 (2018). source
- cites [135] Lee, G. et al. SREBP1c–PARP1 axis tunes anti-senescence activity of adipocytes and ameliorates metabolic imbalance in obesity. Cell Metab. 34, 702–718.e5 (2022). source
- Premisecitation
Senescent human adipocytes secrete increased amounts of CXCL8, SERPINE1, CXCL2 and MMP14.
“Additionally, there is increased secretion of the SASP proteins CXCL8, SERPINE1, CXCL2 and MMP14.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [126] Li, Q. et al. Obesity and hyperinsulinemia drive adipocytes to activate a cell cycle program and senesce. Nat. Med. 27, 1941–1953 (2021). source
- Premisecitation
WNT9A induced in CDKN2A-expressing TECs in chronic kidney disease co-localizes with MKI67-negative nuclei.
“WNT9A, which is induced in CDKN2A-expressing TECs in chronic kidney disease, co-localizes with MKI67-negative nuclei (indicative of non-proliferating cells)154.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [154] Luo, C. et al. Wnt9a promotes renal fibrosis by accelerating cellular senescence in tubular epithelial cells. J. Am. Soc. Nephrol. 29, 1238–1256 (2018). source
- Premisecitation
Several senescence factors found in NOD mouse islets are also found in human pancreatic islets from donors with type 1 diabetes.
“Several of these factors were also found in human pancreatic islets from donors with type 1 diabetes184.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [184] Thompson, P. J. et al. Targeted elimination of senescent β cells prevents type 1 diabetes. Cell Metab. 29, 1045–1060.e10 (2019). source
- Premisecitation
Accumulation of senescent cells is linked with structural lung changes broadly termed senile emphysema.
“The accumulation of senescent cells is also linked with structural changes in the lung, broadly termed ‘senile emphysema’173.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [173] Parikh, P. et al. Cellular senescence in the lung across the age spectrum. Am. J. Physiol. Lung Cell. Mol. Physiol. 316, L826–L842 (2019). source
- Premisecitation
In NOD mouse type 1 diabetes, expression of senescence markers Cdkn1a, Cdkn2a, H2ax, Il6, Mmp2, Serpine1 and Igfbp3 is observed.
“In a mouse model of type 1 diabetes (NOD), the expression of several senescence markers such as Cdkn1a, Cdkn2a, H2ax, Il6, Mmp2, Serpine1, Il6 and Igfbp3 has been observed.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [184] Thompson, P. J. et al. Targeted elimination of senescent β cells prevents type 1 diabetes. Cell Metab. 29, 1045–1060.e10 (2019). source
- Premisecitation
In neoplastic pancreatic tissues, particularly low-grade dysplasia, four senescence markers CDKN2A, CDKN2B, SA-β-gal activity and CBX5-γ were detected.
“However, in neoplastic tissues, particularly in cases of low-grade dysplasia, four senescence markers (CDKN2A, CDKN2B, SA-β-gal activity and CBX5-γ) were detected197.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [197] Miyasaka, Y. et al. Senescence in intraductal papillary mucinous neoplasm of the pancreas. Hum. Pathol. 42, 2010–2017 (2011). source
- Premisecitation
Upregulation of GDF15, IL-6, CRP and TNFRSF1B in plasma is associated with susceptibility to interstitial lung abnormalities.
“There is an association between the upregulation of GDF15, IL-6, CRP and TNFRSF1B in plasma with the susceptibility of the occurrence of interstitial lung abnormalities179.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [179] Sanders, J. L. et al. The association of aging biomarkers, interstitial lung abnormalities, and mortality. Am. J. Respir. Crit. Care Med. 203, 1149–1157 (2021). source
- Premisecitation
Acinar cells show the highest plasticity among adult pancreatic lineages, allowing dedifferentiation or transdifferentiation to an embryonic progenitor phenotype expressing ductal markers in acinar-to-ductal metaplasia.
“Of the adult cell lineages of the pancreas, acinar cells show the highest plasticity, allowing them to undergo dedifferentiation or transdifferentiation to an embryonic progenitor phenotype expressing ductal markers in a process known as acinar-to-ductal metaplasia188,189.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [188] Pinho, A. V. et al. Adult pancreatic acinar cells dedifferentiate to an embryonic progenitor phenotype with concomitant activation of a senescence programme that is present in chronic pancreatitis. Gut 60, 958–966 (2011). source
- cites [189] Rooman, I. & Real, F. X. Pancreatic ductal adenocarcinoma and acinar cells: a matter of differentiation and development? Gut 61, 449–458 (2012). source
- Premisenone given
CDKN2A is the predominant marker associated with senescence in the lung.
“CDKN2A is the predominant marker associated with senescence in the lung.”
Quote in the paperNot a substantial claim - Premisecitation
These senescence markers decreased in abundance during transition to intraductal papillary mucinous neoplasm.
“Interestingly, these markers decreased in abundance during the transition to intraductal papillary mucinous neoplasm.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [197] Miyasaka, Y. et al. Senescence in intraductal papillary mucinous neoplasm of the pancreas. Hum. Pathol. 42, 2010–2017 (2011). source
- Premisecitation
In a study of 158 intraductal papillary mucinous neoplasms and 10 normal controls, neither SA-β-gal activity nor SAHF formation was observed in normal controls.
“In a study involving 158 cases of intraductal papillary mucinous neoplasms and 10 normal controls, neither SA-β-gal activity nor SAHF formation was observed in the normal controls.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [197] Miyasaka, Y. et al. Senescence in intraductal papillary mucinous neoplasm of the pancreas. Hum. Pathol. 42, 2010–2017 (2011). source
- Premisecitation
Photodamage markers include accumulation of 53BP1, H2AJ and mtDNA4977.
“Photodamage markers include the accumulation of 53BP1, H2AJ and mtDNA4977 (a common mtDNA deletion)216.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [216] Berneburg, M. et al. Induction of the photoaging-associated mitochondrial common deletion in vivo in normal human skin. J. Invest. Dermatol. 122, 1277–1283 (2004). source
- Premisecitation
In a mouse model of premature ovarian insufficiency, SAHF formation is observed in the ovary, indicated by increased H3K9me3 and CBX5 staining and higher HMGA1 and HMGA2 protein expression.
“Furthermore, in a mouse model of premature ovarian insufficiency, SAHF formation was observed in the ovary, indicated by increased H3K9me3 and CBX5 staining and higher HMGA1 and HMGA2 protein expression245.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [245] Su, X. et al. Effect of Jiajian Guishen Formula on the senescence-associated heterochromatic foci in mouse ovaria after induction of premature ovarian aging by the endocrine-disrupting agent 4-vinylcyclohexene diepoxide. J. Ethnopharmacol. 269, 113720 (2021). source
- Premisecitation
In a genetic mouse model of accelerated ovarian ageing, Cdkn2a, Cdkn1a, Il1a and Il1b levels are elevated.
“In a genetic mouse model of accelerated ovarian ageing, Cdkn2a, Cdkn1a, Il1a and Il1b levels were elevated244.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [244] Zhu, J. et al. Sirt3 deficiency accelerates ovarian senescence without affecting spermatogenesis in aging mice. Free. Radic. Biol. Med. 193, 511–525 (2022). source
- Premisecitation
In response to UVB, the SASP from primary human melanocytes has elevated secreted IL-6, CXCL8, CCL1, CCL2 and HMGB1.
“In response to UVB, the SASP from primary human melanocytes has elevated levels of secreted IL-6, CXCL8, CCL1, CCL2 and HMGB1 (ref. 219).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [219] Zhang, K., Anumanthan, G., Scheaffer, S. & Cornelius, L. A. HMGB1/RAGE mediates UVB-induced secretory inflammatory response and resistance to apoptosis in human melanocytes. J. Invest. Dermatol. 139, 202–212 (2019). source
- Premisecitation
Early development of UV radiation-caused solar lentigines features accumulation of melanocytes expressing CDKN2A, CDKN1A and p53, as well as increased TNF.
“The early development of UV radiation-caused solar lentigines (liver spots) features the accumulation of melanocytes expressing CDKN2A, CDKN1A and p53, as well as increased TNF218.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [218] Goorochurn, R. et al. Biological processes in solar lentigo: insights brought by experimental models. Exp. Dermatol. 25, 174–177 (2016). source
- Interpretationreasoning
Overlap of senescence markers with inflammation- or fibrosis-associated conditions or models complicates establishing cause and consequence because the markers may signify multiple simultaneous biological processes.
“A substantial research challenge arises from the overlap of senescence markers with conditions or experimental models associated with inflammation or fibrosis. This overlap complicates the establishment of cause and consequence, as the presence of these markers may signify various biological processes occurring simultaneously (Box 1).”
Quote in the paperSubstantial claim - Premisecitation
The placenta can undergo accelerated or premature senescence in adverse pregnancy outcomes such as pre-eclampsia and fetal growth restriction.
“The placenta can also undergo accelerated or premature senescence in adverse pregnancy outcomes such as pre-eclampsia and fetal growth restriction264.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [264] Farfan-Labonne, B., Leff-Gelman, P., Pellon-Diaz, G. & Camacho-Arroyo, I. Cellular senescence in normal and adverse pregnancy. Reprod. Biol. 23, 100734 (2023). source
- Interpretationcitation
Components of placental developmental senescence are recapitulated in other cellular senescence contexts.
“This genetic programme suggests that components of placental developmental senescence are recapitulated in other cellular senescence contexts.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [263] Liu, Z. et al. Large-scale chromatin reorganization reactivates placenta-specific genes that drive cellular aging. Dev. Cell 57, 1347–1368.e12 (2022). source
- Classified as probably not a substantial claim. 22
- May combine two claims. 61
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCellular senescence contributes to physiological and pathological processes in humans, mice, and some other species.
“In humans, mice and some other species, cellular senescence has been shown to contribute to various physiological and pathological processes1.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [1] He, S. & Sharpless, N. E. Senescence in health and disease. Cell 169, 1000–1011 (2017). source
May combine two claims.
PremisecitationRB and p53 activation also occurs in other cell cycle arrests, CDKN2A is expressed in some non-senescent cells, and CDKN2A is absent in some senescent cells.
“Activation of RB and p53 (encoded by TP53 in humans, Trp53 in mice) also occurs in other forms of cell cycle arrest14, and CDKN2A is expressed in certain non-senescent cells15 and is not expressed in all senescent cells16.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [14] Rodier, F. & Campisi, J. Four faces of cellular senescence. J. Cell Biol. 192, 547–556 (2011). source
- cites [15] Sharpless, N. E. & Sherr, C. J. Forging a signature of in vivo senescence. Nat. Rev. Cancer 15, 397–408 (2015). source
- cites [16] Hernandez-Segura, A., Nehme, J. & Demaria, M. Hallmarks of cellular senescence. Trends Cell Biol. 28, 436–453 (2018). source
May combine two claims.
PremisecitationSASP composition and strength vary with senescence duration, stimulus origin, and cell type.
“The composition and strength of the SASP can vary depending on the duration of senescence, the origin of the senescence stimulus and specific cell types17,21.”
Quote in the paperNot a substantial claim2 of 2 sources checkedMay combine two claims.
FindingcitationSenescent cells in human and mouse adipose tissue express CDKN2A and CDKN1A, have higher SA-β-gal activity, DNA damage foci, proliferation arrest (MKI67), and SASP factors including IL-6, CXCL8, IL-1β, TNF, CCL2, SERPINE1, MMP3, and MMP12.
“Senescent cells in both human and mouse adipose tissue have been characterized by expression of CDKN2A and CDKN1A, higher SA-β-gal activity, DNA damage (γH2AX) foci and arrest of cell proliferation (MKI67), and by expression of SASP factors including IL-6, CXCL8 (also known as IL-8), IL-1β, TNF, CCL2, SERPINE1, MMP3 and MMP12 (refs. 119–122).”
Quote in the paperSubstantial claim4 of 4 sources checked- cites [119] Xu, M. et al. JAK inhibition alleviates the cellular senescence-associated secretory phenotype and frailty in old age. Proc. Natl Acad. Sci. USA 112, E6301–E6310 (2015). source
The paper’s Significance passage (page unavailable) describes a capillary analogue of muscle contraction, not senescence in adipose tissue. Searches for the adipose-tissue senescence markers and listed SASP factors found no passage addressing the claim in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measured - cites [120] Xu, M. et al. Senolytics improve physical function and increase lifespan in old age. Nat. Med. 24, 1246–1256 (2018). source
The mouse-adipose Results report increased CDKN2A expression, SA-β-gal-positive cells and telomere-associated DNA-damage foci. The human-adipose Results identify p16INK4A, SA-β-gal and those foci as senescence markers, and report secretion of IL-6, IL-8, MCP-1 and PAI-1 (corresponding to CCL2 and SERPINE1). The cited paper does not establish the claimed CDKN1A or MKI67 markers, or the full listed set of SASP factors, in both human and mouse adipose tissue. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [121] Palmer, A. K. et al. Targeting senescent cells alleviates obesity-induced metabolic dysfunction. Aging Cell 18, e12950 (2019). source
The Results (‘Senescent cell clearance improves glucose homeostasis and insulin sensitivity’; page not supplied) identify p16Ink4a- and p21Cip1-expressing senescent cells in mouse adipose tissue. The adipose-tissue methods assay SA-β-gal, and the Results discuss IL-1β, TNF-α and MCP-1. Our copy does not establish the full marker profile in both human and mouse adipose tissue: it does not document γH2AX foci or MKI67 arrest there, or identify CXCL8, SERPINE1, MMP3 and MMP12 as adipose-cell SASP factors. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [122] Wang, L. et al. Targeting p21Cip1 highly expressing cells in adipose tissue alleviates insulin resistance in obesity. Cell Metab. 34, 75–89.e8 (2022). source
The Introduction and Discussion describe p21-high cells in mouse adipose tissue as having higher SA-β-gal activity, reduced proliferation and a SASP; the paper also examines γH2AX-positive telomere-associated foci. It treats p21-high and p16-high cells as partly distinct populations, rather than establishing that senescent cells express both markers. Although it uses human adipose tissue for transplantation, the cited passages do not establish the full marker profile in human tissue or substantiate the entire listed SASP panel or MKI67 specifically. Page numbers were not available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Rests on an assumption: Marker expression observed in animal models can be extrapolated to human tissues.
May combine two claims.
FindingcitationHuman cardiac progenitor cells show increased CDKN2A, SA-β-gal, γH2AX foci, reduced BrdU incorporation, and SASP induction during ageing.
“In humans, cardiac progenitor cells defined as KIT+PECAM1−PTPRC− (also known as c-kit+CD31−CD45−) showed increased levels of CDKN2A, SA-β-gal activity, γH2AX foci, reduced BrdU incorporation into DNA (S phase marker; reduced incorporation indicates cell cycle arrest) and induction of the SASP during ageing62.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [62] Lewis-McDougall, F. C. et al. Aged-senescent cells contribute to impaired heart regeneration. Aging Cell 18, e12931 (2019). source
Section 2.1 (p. 4) reports age-related increases in p16INK4A (CDKN2A), SA-β-gal and γH2AX-positive human cardiac progenitor cells; the Discussion (p. 10) also reports a senescence-associated secretory phenotype. Figure 2 (p. 6) shows diminished proliferation in cells from aged hearts, but the BrdU result in section 2.3 (p. 8) concerns cells in hearts injected with progenitor cells, not BrdU incorporation by the human progenitor cells themselves. Thus, the specific reduced-BrdU-incorporation claim is unsupported. (LLM, conf=0.89)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationParacrine senescence is mediated by SASP, while juxtracrine senescence involves direct cell contact via NOTCH1-JAG1 signaling.
“Two mechanisms of transmission have been described: paracrine senescence is mediated by the SASP24, whereas juxtracrine senescence, involving direct cell to cell contact, is mediated by NOTCH1–JAG1 signalling25,26.”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [24] Acosta, J. C. et al. A complex secretory program orchestrated by the inflammasome controls paracrine senescence. Nat. Cell Biol. 15, 978–990 (2013). source
- cites [25] Teo, Y. V. et al. Notch signaling mediates secondary senescence. Cell Rep. 27, 997–1007.e5 (2019). source
The Introduction says SASP can induce secondary senescence through paracrine signaling, and the Discussion identifies Notch signaling as cell-to-cell contact–mediated (juxtacrine). The paper does not establish the specific NOTCH1–JAG1 pairing attributed to it; its reported ligand finding concerns Jag2 instead. Our copy provides section labels but no page numbers. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [26] Evans S. A. et al. Single-cell transcriptomics reveals global markers of transcriptional diversity across different forms of cellular senescence. AgingBio 1, 1–13 (2023).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
FindingcitationIncreased SA-β-gal activity, Bcl2, γH2AX, phosphorylated p38 MAPK, and downregulation of LMNB1 are additional features of age-associated or neurodegeneration-associated neuronal and glial cells.
“Increased levels of SA-β-gal activity and expression of apoptosis (Bcl2) and DNA damage (γH2AX and phosphorylated p38 MAPK) regulators, and the downregulation of LMNB1, are additional characteristics of age-associated or neurodegeneration-associated neuronal and glial cells102,105–108.”
Quote in the paperNot a substantial claim4 of 5 sources checked- cites [102] Ogrodnik, M. et al. Whole-body senescent cell clearance alleviates age-related brain inflammation and cognitive impairment in mice. Aging Cell 20, e13296 (2021). source
The Results section reports an age-dependent increase in LMNB1-negative hippocampal neurons in mice, supporting the LMNB1 part of the claim. The passages do not establish increased SA-β-gal, Bcl2, γH2AX, or phosphorylated p38 MAPK in neuronal or glial cells, nor do they establish this marker pattern in neurodegeneration. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [105] Matias, I. et al. Loss of lamin-B1 and defective nuclear morphology are hallmarks of astrocyte senescence in vitro and in the aging human hippocampus. Aging Cell 21, e13521 (2022). source
The Results section reports increased SA-β-Gal activity in senescent astrocyte cultures, and the Discussion reports lamin-B1 loss in senescent astrocytes and aging hippocampal tissue (page numbers unavailable). These passages support those two features in astrocytes, but not the attributed increases in Bcl2, γH2AX, or phosphorylated p38 MAPK, nor the full extension of this marker list to neurons and neurodegeneration-associated cells. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [106] Chinta, S. J. et al. Cellular senescence is induced by the environmental neurotoxin paraquat and contributes to neuropathology linked to Parkinson’s disease. Cell Rep. 22, 930–940 (2018). source
The Results sections on Parkinsonian substantia nigra astrocytes and paraquat-induced senescence report reduced lamin B1 in astrocytes and increased SA-β-gal activity in paraquat-treated astrocytes. The paper reports 53BP1 foci as a DNA-damage marker, but the passages found do not establish increased Bcl2, γH2AX, or phosphorylated p38 MAPK as features of these cells, nor do they establish the listed features in neurons. Page numbers were not available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [107] Musi, N. et al. Tau protein aggregation is associated with cellular senescence in the brain. Aging Cell 17, e12840 (2018). source
The Results section reports elevated γ-H2ax in tauNFT mouse brains, and the Discussion describes loss of lamin B as associated with tau pathology. But the Results section on SA β-gal reports fewer positive cells than controls and says its activity did not correlate with other senescence markers or brain atrophy. Our copy does not establish increased Bcl2 or phosphorylated p38 MAPK, or these features specifically in glial cells. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [108] Dong, C. et al. ATM modulates subventricular zone neural stem cell maintenance and senescence through Notch signaling pathway. Stem Cell Res. 58, 102618 (2022). source
May combine two claims.
FindingcitationIn a mouse acute myeloid leukaemia model, qPCR of bone marrow cells showed upregulation of Cdkn2a, Cdkn1a, and SASP factors and downregulation of Lmnb1.
“In a mouse model of acute myeloid leukaemia, qPCR of bone marrow cells showed upregulation of the senescence markers Cdkn2a, Cdkn1a and SASP factors, and downregulation of Lmnb1 (ref. 94).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [94] Abdul-Aziz, A. M. et al. Acute myeloid leukemia induces protumoral p16INK4a-driven senescence in the bone marrow microenvironment. Blood 133, 446–456 (2019). source
May combine two claims.
FindingcitationDuring normal ageing, mouse cardiomyocytes accumulate TAF, CDKN1a, CDKN2B, CDKN2a, SA-β-gal activity, SADS, and a pro-fibrotic SASP.
“During normal ageing, mouse cardiomyocytes accumulate the following senescence-associated markers: TAF, cyclin-dependent kinase inhibitors (CDKN1a, CDKN2B (also known as p15INK4b) and CDKN2a), SA-β-gal activity, SADS and a pro-fibrotic SASP60.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [60] Anderson, R. et al. Length-independent telomere damage drives post-mitotic cardiomyocyte senescence. EMBO J. 38, e100492 (2019). source
May combine two claims.
FindingcitationAdipose tissue-derived mesenchymal stem cells from older human and mouse donors exhibit senescence properties and impaired regenerative potential.
“Adipose tissue-derived mesenchymal stem cells from older donors (human and mouse) exhibit senescence properties and impaired regenerative potential123,124.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [123] Choudhery, M. S., Badowski, M., Muise, A., Pierce, J. & Harris, D. T. Donor age negatively impacts adipose tissue-derived mesenchymal stem cell expansion and differentiation. J. Transl. Med. 12, 8 (2014). source
The Conclusions report senescent features and reduced osteogenic and chondrogenic potential in adipose-derived MSCs from older donors. The Methods identify the donors as human; the Background’s mouse finding concerns bone marrow-derived MSCs, not adipose-derived MSCs. This source therefore does not support the claim’s mouse-adipose component. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [124] Wang, B. et al. Transplanting cells from old but not young donors causes physical dysfunction in older recipients. Aging Cell 19, e13106 (2020). source
May combine two claims.
FindingcitationIn aged humans, needle biopsies of bone and bone marrow analysed by qPCR showed increased CDKN2A and CDKN1A, and SASP increased with age.
“Needle biopsies containing tissue of the bone and bone marrow analysed by qPCR revealed increased levels of CDKN2A and CDKN1A, and the SASP increased with age93.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [93] Farr, J. N. et al. Identification of senescent cells in the bone microenvironment. J. Bone Miner. Res. 31, 1920–1929 (2016). source
The Results (page not provided) report that rt-qPCR of bone needle biopsies from older versus younger women found significantly higher p16Ink4a (CDKN2A) and p21 (CDKN1A) expression. Twelve SASP factors were also higher, but the 36-factor panel did not show a statistically significant increase as a group; the authors call the human SASP findings preliminary. The claim overstates that part as a general increase in the SASP. (LLM, conf=0.90)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationCDKN1A, CDKN2A and TAF are found in non-alcoholic fatty liver disease, and TAF are reported in livers from individuals with alcoholic liver disease.
“Additionally, the expression of CDKN1A, CDKN2A and the presence of TAF has been found in the context of non-alcoholic fatty liver disease159,161, and TAF have been reported in livers from individuals with alcoholic liver disease162.”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [159] Ogrodnik, M. et al. Cellular senescence drives age-dependent hepatic steatosis. Nat. Commun. 8, 15691 (2017). source
The Results section, “Hepatocyte senescence correlates with severity of NAFLD” (page unavailable), reports TAF and p21—the protein encoded by CDKN1A—in biopsies from nine patients with NAFLD. It does not report CDKN2A expression in those patients. The alcoholic-liver-disease statement is attached to a different citation, so it is not assessed against this paper. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [161] Aravinthan, A. et al. Hepatocyte senescence predicts progression in non-alcohol-related fatty liver disease. J. Hepatol. 58, 549–556 (2013). source
- cites [162] Wilson, C. L. et al. NFκB1 is a suppressor of neutrophil-driven hepatocellular carcinoma. Nat. Commun. 6, 6818 (2015). source
May combine two claims.
PremisecitationSerpine1 overexpression causes podocyte detachment and apoptosis, resulting in glomerulosclerosis.
“Serpine1 overexpression causes podocyte detachment and apoptosis, resulting in glomerulosclerosis140.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). source
The Results sections report increased PAI-1 expression in aged mouse kidneys, PAI-1-dependent podocyte detachment and apoptosis in cell experiments, and protection from glomerulosclerosis after endothelial PAI-1 deletion in aged mice (page not available). These findings support the proposed pathway, but the paper does not show that experimentally overexpressing Serpine1 causes the entire sequence; its evidence concerns age-associated endothelial PAI-1 elevation and loss-of-function experiments. (LLM, conf=0.84)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationDifferent animal models of kidney disease show increased SA-β-gal activity and overexpression of Cdkn2a, Cdkn1a, Trp53 and SASP components including SERPINE1, IL-1β, IL-6, TNF and MMP13.
“Different animal models of kidney disease exhibit increased SA-β-gal activity and overexpression of Cdkn2a, Cdkn1a, Trp53 and SASP components, including SERPINE1, IL-1β, IL-6, TNF and MMP13 (refs. 140,148).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). source
The Results sections on aging nephropathy and glomerular endothelial senescence (page unavailable) report SA-β-gal staining, increased p16 activity and p21-positive cells in mouse kidneys. They also report increased PAI-1 (encoded by SERPINE1), IL-1β, IL-6 and MMP13 in old versus young mice. The copy does not establish increased Trp53 or TNF, nor does it show that the full list is overexpressed across different kidney-disease models. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [148] Satriano, J. et al. Transition of kidney tubule cells to a senescent phenotype in early experimental diabetes. Am. J. Physiol. Cell Physiol. 299, C374–C380 (2010). source
The figure captions in the section labelled “4 Days” (page unavailable) report increased SA-β-gal activity, p16INK4a (Cdkn2a), p21 (Cdkn1a), and PAI-1 (SERPINE1) in streptozotocin-diabetic rats. This paper studies one animal model, not different models, and the cited passages do not establish overexpression of Trp53, IL-1β, IL-6, TNF, or MMP13. (LLM, conf=0.90)
Experimental — accuracy not yet measured
May combine two claims.
FindingcitationCdkn1ahigh and Cdkn2ahigh cells exist as two distinct cell populations in adipose tissue, indicating heterogeneity and complexity of senescent cell populations.
“Importantly, Cdkn1ahigh and Cdkn2ahigh cells exist as two distinct cell populations122,125, indicating the heterogeneity and complexity of senescent cell populations in adipose tissue.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [122] Wang, L. et al. Targeting p21Cip1 highly expressing cells in adipose tissue alleviates insulin resistance in obesity. Cell Metab. 34, 75–89.e8 (2022). source
The Results section reports that p21-high (Cdkn1a-high) and p16-high (Cdkn2a-high) cells were distinguishable in mouse visceral adipose tissue after 10 months of high-fat feeding, despite some overlap. The Discussion calls them distinct populations, but explicitly limits that conclusion to at least the context of obesity; the citing sentence does not retain that qualifier. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [125] Wang, B. et al. An inducible p21-Cre mouse model to monitor and manipulate p21-highly-expressing senescent cells in vivo. Nat. Aging 1, 962–973 (2021). source
May combine two claims.
PremisecitationAged mouse hepatocytes show senescence-associated markers including SA-β-gal activity, TAF, karyomegaly, SADS, LINE-1 expression and SASP factors.
“Studies on aged mouse hepatocytes have shown the presence of senescence-associated markers such as SA-β-gal activity157, TAF54,158, karyomegaly and SADS159, LINE-1 expression23 and expression of SASP factors141.”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [157] Wang, C. et al. DNA damage response and cellular senescence in tissues of aging mice. Aging Cell 8, 311–323 (2009). source
- cites [54] Hewitt, G. et al. Telomeres are favoured targets of a persistent DNA damage response in ageing and stress-induced senescence. Nat. Commun. 3, 708 (2012). sourceExperimental — accuracy not yet measured
- cites [158] Fumagalli, M. et al. Telomeric DNA damage is irreparable and causes persistent DNA-damage-response activation. Nat. Cell Biol. 14, 355–365 (2012). source
The Results section on physiological ageing in primates reports telomere-associated DNA-damage foci in liver hepatocytes from old baboons, supporting the TAF portion of the citation. It does not establish TAF in aged mouse hepatocytes; its mouse experiment examined irradiated hippocampal neurons. The other listed markers have separate citations and are not attributed to this source. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationMost human renal nephropathies are associated with accelerated cellular senescence, with CDKN2A being most overexpressed in TECs.
“Most human renal nephropathies are associated with accelerated cellular senescence142,145,147,149,154,155, with CDKN2A being most overexpressed in TECs.”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [142] Prattichizzo, F. et al. Short-term sustained hyperglycaemia fosters an archetypal senescence-associated secretory phenotype in endothelial cells and macrophages. Redox Biol. 15, 170–181 (2018). source
The Results sections report increased senescence markers in kidneys of hyperglycaemic mice, and the References list a study of accelerated senescence in patients with type 2 diabetic nephropathy. That does not establish the claim about most human renal nephropathies. The paper also does not report that CDKN2A is most overexpressed in tubular epithelial cells; its kidney-cell results emphasize endothelial cells and macrophages. No page numbers are available in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [145] Sis, B. et al. Accelerated expression of senescence associated cell cycle inhibitor p16INK4A in kidneys with glomerular disease. Kidney Int. 71, 218–226 (2007). source
- cites [147] Verzola, D. et al. Accelerated senescence in the kidneys of patients with type 2 diabetic nephropathy. Am. J. Physiol. Ren. Physiol. 295, F1563–F1573 (2008). source
May combine two claims.
PremisecitationTNSF8+PDCD1+CD44hiCD4+ T cells accumulate in adipose tissue in obesity and show senescence features, including increased SPP1, CDKN2A and CDKN1A and decreased SATB1, DUSP10 and EEF1A1.
“TNSF8+PDCD1+CD44hiCD4+ (CD153+PDCD+CD44hiCD4+) T cells accumulate in adipose tissue in obesity and show senescence features, including increased expression of SPP1, CDKN2A and CDKN1A and decreased expression of SATB1, DUSP10 and EEF1A1128.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [128] Shirakawa, K. et al. Obesity accelerates T cell senescence in murine visceral adipose tissue. J. Clin. Invest. 126, 4626–4639 (2016). source
The section on high-fat-diet-induced T-cell accumulation (page unavailable) reports that CD153+PD-1+CD44hiCD4+ cells accumulate in the visceral adipose tissue of obese mice and show senescence features. It reports increased Spp1, Cdkn1a and Cdkn2b—not the claimed CDKN2A—and decreased Satb1, Dusp10 and Eef1a1. The finding is specifically in mice and visceral adipose tissue. (LLM, conf=0.91)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationDuring ageing and obesity, SASP factors from senescent adipose cells upregulate CD38 in adipose immune cells, lowering NAD+ levels and worsening metabolic dysfunction and fitness.
“Upon ageing and obesity, SASP factors from the senescent cells upregulate CD38 in adipose immune cells, thereby decreasing NAD+ levels, which results in increased metabolic dysfunction and a decline in overall fitness127.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [127] Chini, C. C. S. et al. CD38 ecto-enzyme in immune cells is induced during aging and regulates NAD+ and NMN levels. Nat. Metab. 2, 1284–1304 (2020). source
The Results section, “Accumulation of CD38 in vivo can be induced by SASP” (page unavailable), reports that conditioned media from senescent pre-adipocytes increased macrophage CD38 and lowered NAD+ in mouse white adipose tissue. The Introduction links age-related NAD+ decline to metabolic dysfunction and reduced overall fitness. The paper does not establish this SASP–CD38 pathway in obesity or show that the pathway itself worsens metabolic function or fitness. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationGlomerular endothelial cells and proximal tubular epithelial cells become senescent with ageing in mice, showing increased SA-β-gal staining and Cdkn2a expression.
“Glomerular endothelial cells140 and proximal tubular epithelial cells (TECs)140,141 become senescent with ageing in mice, showing increased SA-β-gal staining and Cdkn2a expression.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). source
The Results sections on aging nephropathy and the time-course analysis show increased glomerular endothelial senescence in aged mice, more SA-βGal-positive glomeruli, increased p16 mRNA, and more p21-positive cells in both glomeruli and tubules. They do not identify the tubular cells as proximal epithelial cells or show increased SA-βGal staining and Cdkn2a expression specifically in those cells. No page numbers are available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [141] Baker, D. J. et al. Naturally occurring p16Ink4a-positive cells shorten healthy lifespan. Nature 530, 184–189 (2016). source
The ‘Renal epithial cell senescence and glomerulosclerosis’ section (page unavailable) identifies SAβ-Gal-positive cells in proximal tubules, supporting the tubular epithelial-cell portion. It says those cells were not located in the glomeruli, so it does not support the glomerular endothelial-cell portion; it also does not report increased Cdkn2a expression in either specified kidney cell type. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationCyTOF analysis of young and aged mouse skeleton identified senescent cells in the bone microenvironment, principally CD24+ osteo-lineage cells and late osteoblasts/osteocytes, defined as CDKN2A+Ki67-BCL2+ and CDKN1A+Ki67-BCL2+, with increased other senescence markers, SASP factors and DNA damage markers.
“Senescent cells in the bone microenvironment, which consisted principally of CD24+ osteo-lineage cells and late osteoblasts/osteocytes, were defined as CDKN2A+Ki67–BCL2+ and CDKN1A+ Ki67–BCL2+, and exhibited a significant increase in other senescence markers, SASP factors and DNA damage markers56.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [56] Doolittle, M. L. et al. Multiparametric senescent cell phenotyping reveals targets of senolytic therapy in the aged murine skeleton. Nat. Commun. 14, 4587 (2023). source
May combine two claims.
PremisecitationOsteocytes have increased SADS with age, plus increased Cdkn2a, Cdkn1a, Trp53 and numerous SASP transcripts.
“Osteocytes have increased SADS with age, in addition to an increase of Cdkn2a, Cdkn1a and Trp53 and numerous SASP transcripts93.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [93] Farr, J. N. et al. Identification of senescent cells in the bone microenvironment. J. Bone Miner. Res. 31, 1920–1929 (2016). source
May combine two claims.
PremisecitationOlder individuals with asthma show increased Trp53 and Cdkn1a expression and TAF in airway smooth muscle cells.
“Recent research has demonstrated increased expression of Trp53 and Cdkn1a, and the presence of TAF in the airway smooth muscle cells from older individuals with asthma174.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [174] Aghali, A. et al. Cellular senescence is increased in airway smooth muscle cells of elderly persons with asthma. Am. J. Physiol. Lung Cell. Mol. Physiol. 323, L558–L568 (2022). source
May combine two claims.
PremisecitationThe SenMayo gene panel was generated and validated in bone biopsies from two aged human cohorts.
“The SenMayo gene panel (Box 3) was generated and validated in bone biopsies from two aged human cohorts84.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [84] Saul, D. et al. A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues. Nat. Commun. 13, 4827 (2022). source
May combine two claims.
PremisecitationThe senescent cells in the MAFA S64F model are characterized by expression of Cdkn1a, Ankrd1, Bcl2a1d, Ccl11, Cd68, Cxcl12 and Icam1, SA-β-gal activity, decreased Lmnb1 and increased γH2AX.
“These cells are characterized by expression of Cdkn1a, Ankrd1, Bcl2a1d, Ccl11, Cd68, Cxcl12 and Icam1, SA-β-gal activity, decreased Lmnb1 expression and increased γH2AX185.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [185] Walker, E. M. et al. Sex-biased islet β cell dysfunction is caused by the MODY MAFA S64F variant by inducing premature aging and senescence in males. Cell Rep. 37, 109813 (2021). source
The Results section ('Only male MafAS64F/+ islets express markers of accelerated cellular senescence and aging'; page unavailable) reports increased p21 and γH2AX staining, increased SA-β-gal activity, and decreased LaminB1 in male mutant islets. It also reports increased aging- and senescence-related gene expression, but our copy does not identify Ankrd1, Bcl2a1d, Ccl11, Cd68, Cxcl12, or Icam1 as expressed markers. The specific gene list is therefore not fully supported by the available text. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationFocal radiation therapy-induced bone loss can be alleviated by targeting senescent cells expressing Cdkn1a but not Cdkn2a, suggesting functional heterogeneity between senescent cell subtypes.
“Focal radiation therapy-induced bone loss can be alleviated by targeting senescent cells expressing Cdkn1a, but not Cdkn2a (ref. 203), suggesting the existence of functional heterogeneity between senescent cell subtypes.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [203] Chandra, A. et al. Targeted clearance of p21- but not p16-positive senescent cells prevents radiation-induced osteoporosis and increased marrow adiposity. Aging Cell 21, e13602 (2022). source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTGFβ1-IL-11-MEK-ERK signalling mediates senescence-associated pulmonary fibrosis in mice.
“TGFβ1 has been implicated in mediating cellular senescence in the lung, as TGFβ1–IL-11–MEK–ERK signalling mediates senescence-associated pulmonary fibrosis in mice171.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [171] Chen, H. et al. TGF-β1/IL-11/MEK/ERK signaling mediates senescence-associated pulmonary fibrosis in a stress-induced premature senescence model of Bmi-1 deficiency. Exp. Mol. Med. 52, 130–151 (2020). source
May combine two claims.
PremisecitationWhether osteoclasts undergo senescence remains unclear, although elimination of CDKN2A-expressing osteoclast progenitors did not attenuate age-related bone loss in mice.
“Whether osteoclasts also undergo senescence remains unclear, although elimination of CDKN2A-expressing osteoclast progenitors did not attenuate age-related bone loss in mice198.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [198] Kim, H.-N. et al. Elimination of senescent osteoclast progenitors has no effect on the age-associated loss of bone mass in mice. Aging Cell 18, e12923 (2019). source
May combine two claims.
PremisecitationOsteoblast progenitors and osteoblasts show a significant increase of Cdkn2a and a limited number of SASP factors.
“Osteoblast progenitors and osteoblasts exhibit a significant increase of Cdkn2a, in addition to an increase of a limited number of SASP factors93.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [93] Farr, J. N. et al. Identification of senescent cells in the bone microenvironment. J. Bone Miner. Res. 31, 1920–1929 (2016). source
May combine two claims.
PremisecitationProteomics analysis of senescent and non-senescent mouse and human pancreatic islet cells confirmed SASP protein secretion and led to description of a unique SASP in β-cells.
“The secretion of SASP protein factors has been confirmed through proteomics analysis of senescent (SA-β-gal+) and non-senescent (SA-β-gal–) mouse and human pancreatic islet cells183, leading to the description of a unique SASP in β-cells.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [183] Midha, A. et al. Unique human and mouse β-cell senescence-associated secretory phenotype (SASP) reveal conserved signaling pathways and heterogeneous factors. Diabetes 70, 1098–1116 (2021). source
May combine two claims.
PremisecitationFollowing fracture in mice, fracture callus cells show an initial increase in Cdkn1a mRNA, followed by Cdkn2a, accompanied by a SASP including interleukins, NF-κB-downstream factors and TGFβ1.
“Following fracture in mice, cells from the fracture callus exhibit an initial increase in Cdkn1a mRNA expression, followed by Cdkn2a and accompanied by a SASP consisting of numerous interleukins, NF-κB-downstream factors and, specifically, TGFβ1 expression200,201.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [200] Saul, D. et al. Modulation of fracture healing by the transient accumulation of senescent cells. eLife 10, e69958 (2021). source
The Results sections on murine fracture healing and callus SASP expression report an early Cdkn1a mRNA increase followed by a progressive Cdkn2a increase, alongside changes in interleukins and Tgfb1. They report increased expression of Nfkb1 itself, but do not identify the measured factors as downstream of NF-κB; that specific characterization is unsupported. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [201] Liu, J. et al. Age-associated callus senescent cells produce TGF-β1 that inhibits fracture healing in aged mice. J. Clin. Invest. 132, e148073 (2022). source
The Results section on senescent cells in fracture callus reports that p21 (Cdkn1a) and p16 (Cdkn2a) both increased after fracture and both peaked on day 10; it does not establish that one rose before the other. The Results section on SASP factors reports elevated Il1a and Tgfb1 in aged callus, supporting that portion of the claim, but it does not identify the measured factors as NF-κB downstream factors or establish numerous interleukins. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThis skin senescence expression pattern correlates with lower MKI67 expression and only slightly with telomere length reduction.
“This expression pattern correlates with lower MKI67 expression and only slightly with telomere length reduction210.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [210] Rube, C. E. et al. Human skin aging is associated with increased expression of the histone variant H2A.J in the epidermis. NPJ Aging Mech. Dis. 7, 7 (2021). source
May combine two claims.
PremisecitationIn the mouse skin chemical carcinogenesis model, TPA tumour promotion features an increase in SA-β-gal+ keratinocytes with high CDKN2A, increased Mmp3, Mmp9 and Cxcl10 and downregulation of Lmnb1.
“In the mouse skin chemical carcinogenesis model, tumour promotion with the phorbol ester TPA features an increase in SA-β-gal+ keratinocytes with high CDKN2A levels, accompanied by increased levels of Mmp3, Mmp9 and Cxcl10 and downregulation of Lmnb1 (ref. 223).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [223] Alimirah, F. et al. Cellular senescence promotes skin carcinogenesis through p38MAPK and p44/42MAPK signaling. Cancer Res. 80, 3606–3619 (2020). source
The Results section, “TPA induces senescence and a SASP in human keratinocytes and mouse skin” (page unavailable), reports increased SA-β-gal-positive cells and elevated p16, Mmp3, Mmp9 and Cxcl10 mRNAs in TPA-treated mouse skin. It does not identify the SA-β-gal-positive mouse cells specifically as keratinocytes. Reduced Lamin B1 is reported for TPA-treated human keratinocytes, not mouse skin. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationExtravillous trophoblasts display nuclear enlargement, and syncytiotrophoblasts show senescence and ageing characteristics such as increased syncytial knots, fibrinoid deposition and cytoskeleton reorganization.
“Furthermore, extravillous trophoblasts display nuclear enlargement247, and syncytiotrophoblasts exhibit characteristics of senescence and ageing, such as increased syncytial knots and fibrinoid deposition254 and reorganization of their cytoskeleton255.”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [247] Velicky, P. et al. Genome amplification and cellular senescence are hallmarks of human placenta development. PLoS Genet. 14, e1007698 (2018). source
- cites [254] Wang, Y. et al. SIRT1 regulates trophoblast senescence in premature placental aging in preeclampsia. Placenta 122, 56–65 (2022). source
- cites [255] Ishikawa, A. et al. Cell fusion mediates dramatic alterations in the actin cytoskeleton, focal adhesions, and E-cadherin in trophoblastic cells. Cytoskeleton 71, 241–256 (2014). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe ovary ages earlier than other organs in the human body, with reproductive function declining in the mid-thirties and ceasing at menopause.
“The ovary ages earlier than other organs in the human body, as reproductive function begins declining in women in their midthirties and ceases completely at the time of menopause.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [232] Lemaitre, J. F. & Gaillard, J. M. Reproductive senescence: new perspectives in the wild. Biol. Rev. Camb. Philos. Soc. 92, 2182–2199 (2017). source
- cites [233] Dong, L., Teh, D. B. L., Kennedy, B. K. & Huang, Z. Unraveling female reproductive senescence to enhance healthy longevity. Cell Res. 33, 11–29 (2023). source
May combine two claims.
PremisecitationIn fibroblasts, keratinocytes and melanocytes in vitro, the classical SASP typically includes IL-6, IL-1α, IL-1β, MMP1, MMP3, MMP9 and TNF, whereas high chemerin levels are found in the SASP of dermal fibroblasts in aged skin.
“In fibroblasts, keratinocytes and melanocytes in vitro, the classical SASP typically includes IL-6, IL-1α, IL-1β, MMP1, MMP3, MMP9 and TNF211, whereas high levels of chemerin are found in the SASP of dermal fibroblasts in aged skin215.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [211] Coppe, J. P. et al. Senescence-associated secretory phenotypes reveal cell-nonautonomous functions of oncogenic RAS and the p53 tumor suppressor. PLoS Biol. 6, 2853–2868 (2008). source
The ‘SASPs of Human Epithelial Cells’ passage reports overlapping SASPs in cultured fibroblasts and prostate epithelial cells, including IL-6, but says IL-1α was specific to one of those cell types. The cited paper does not establish the listed factors as a typical SASP across fibroblasts, keratinocytes and melanocytes; it studies prostate epithelial cells rather than the latter two. The chemerin clause has a different citation (215) and is not judged here. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [215] Farsam, V. et al. Senescent fibroblast-derived Chemerin promotes squamous cell carcinoma migration. Oncotarget 7, 83554–83569 (2016). source
May combine two claims.
PremisecitationDespite high variability in the SASP of intrinsically aged human fibroblasts in vivo, there is an association between GDF15, TNF, SPP1, TNFRSF1A, FAS, CCL3, IL-15 and activin A expression and age-related disease outcomes.
“Despite high variability (for example, the SASP of intrinsically aged human fibroblasts in vivo includes 27 distinct proteins212), there is an association between GDF15, TNF, SPP1, TNFRSF1A, FAS, CCL3, IL-15 and activin A expression and age-related disease outcomes214.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [212] Waldera Lupa, D. M. et al. Characterization of skin aging-associated secreted proteins (SAASP) produced by dermal fibroblasts isolated from intrinsically aged human skin. J. Invest. Dermatol. 135, 1954–1968 (2015). source
- cites [214] Schafer, M. J. et al. The senescence-associated secretome as an indicator of age and medical risk. JCI Insight 5, e133668 (2020). source
May combine two claims.
PremisecitationTNFRSF11A expression increases during ageing, leading to DNA damage and senescence through Cdkn2a.
“The expression of TNFRSF11A increases during ageing228, leading to DNA damage and senescence through Cdkn2a (ref. 229).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [228] Pellegrini, P. et al. Constitutive activation of RANK disrupts mammary cell fate leading to tumorigenesis. Stem Cell 31, 1954–1965 (2013). source
- cites [229] Benitez, S. et al. RANK links senescence to stemness in the mammary epithelia, delaying tumor onset but increasing tumor aggressiveness. Dev. Cell 56, 1727–1741.e7 (2021). source
May combine two claims.
PremisecitationIn sun-protected skin, melanocytes show the highest rate of senescence, identified by CDKN2A expression, increased TAF and loss of nuclear HMGB1.
“In sun-protected skin, melanocytes showed the highest rate of senescence, as identified by the expression of CDKN2A and increased number of TAF, and loss of nuclear HMGB1 (ref. 213).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [213] Victorelli, S. et al. Senescent human melanocytes drive skin ageing via paracrine telomere dysfunction. EMBO J. 38, e101982 (2019). source
May combine two claims.
InterpretationcitationSeveral CCL and CXCL genes are expressed in immune cells of the postmenopausal human ovary and may potentially reverse some detrimental effects of senescence.
“Moreover, several CCL and CXCL genes are expressed in immune cells of the postmenopausal human ovary, potentially reversing some of the detrimental effects of senescence246.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [246] Lengyel, E. et al. A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing. Cell Rep. 41, 111838 (2022). source
May combine two claims.
PremisecitationGenotoxic chemotherapeutics cisplatin and doxorubicin accelerate reproductive ageing and result in increased SA-β-gal, CDKN2A and CDKN1A expression.
“Apart from physiological ageing, treatments that accelerate reproductive ageing through genotoxic agents, such as the chemotherapeutics cisplatin242 and doxorubicin243, result in increased SA-β-gal242,243, CDKN2A (refs. 242,243) and CDKN1A (refs. 242,243) expression.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [242] Du, D. et al. Senotherapy protects against cisplatin-induced ovarian injury by removing senescent cells and alleviating DNA damage. Oxid. Med. Cell. Longev. 2022, 9144644 (2022).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [243] Gao, Y. et al. Increased cellular senescence in doxorubicin-induced murine ovarian injury: effect of senolytics. GeroScience 45, 1775–1790 (2023). source
May combine two claims.
PremisecitationThe BRAF oncogenic mutation found in more than half of malignant cutaneous melanomas is also common in non-malignant nevi, where it causes oncogene-induced senescence with high CDKN2A and SA-β-gal expression.
“Additionally, the BRAF oncogenic mutation found in more than half of all malignant cutaneous melanomas is commonly found also in non-malignant nevi, where it causes oncogene-induced senescence exemplified by high levels of CDKN2A and SA-β-gal expression225–227.”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [225] Michaloglou, C. et al. BRAFE600-associated senescence-like cell cycle arrest of human naevi. Nature 436, 720–724 (2005). source
The Abstract and main text report that BRAF V600E is frequent in benign naevi and that sustained expression induces senescence-like arrest with SA-β-Gal activity and increased p16INK4a, the CDKN2A protein. However, the paper does not establish the claimed ‘more than half’ frequency in cutaneous melanomas, and it describes p16INK4a expression in naevi as mosaic rather than uniformly high. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [226] Pollock, P. M. et al. High frequency of BRAF mutations in nevi. Nat. Genet. 33, 19–20 (2003). source
- cites [227] Hugdahl, E., Kalvenes, M. B., Puntervoll, H. E., Ladstein, R. G. & Akslen, L. A. BRAF-V600E expression in primary nodular melanoma is associated with aggressive tumour features and reduced survival. Br. J. Cancer 114, 801–808 (2016). source
The introductory passage following the Abstract’s Conclusions says that nearly 50% of primary and metastatic melanomas harbour BRAF mutations, supporting their prevalence but not the claim’s ‘more than half’ figure. The paper does not address BRAF mutations in non-malignant nevi or senescence marked by CDKN2A and SA-β-gal expression. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationSkin senescence is identified by SA-β-gal, α-fucosidase, CDKN2A, CDKN1A and lipofuscin in epidermis and dermis, and by H2AJ and γH2AX in human epidermis, especially stratum spinosum.
“Senescence in the skin is identified by expression of SA-β-gal, α-fucosidase, CDKN2A, CDKN1A and lipofuscin in both the epidermis and the dermis207,208, and of the histone variant H2AJ and γH2AX in human epidermis, especially in the stratum spinosum209.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [207] Hudgins, A. D. et al. Age- and tissue-specific expression of senescence biomarkers in mice. Front. Genet. 9, 59 (2018). source
The Results identify Cdkn2a and Cdkn1a as classical senescence markers, but the mouse tissues studied were hypothalamus, heart, liver, and kidney—not epidermis or dermis. The cited paper does not establish the claimed skin-layer expression of those markers or address α-fucosidase and lipofuscin. The H2AJ and γH2AX clause is attached to a different citation (209) and is not judged here. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [208] Dimri, G. P. A biomarker that identifies senescenet human cells in culture and aging skin in vitro. Proc. Natl Acad. Sci. USA 92, 9363–9367 (1995). source
- cites [209] Contrepois, K. et al. Histone variant H2A.J accumulates in senescent cells and promotes inflammatory gene expression. Nat. Commun. 8, 14995 (2017). source
The Results section ('H2A.J is a biomarker of some senescent stem and skin cells'; page unavailable) reports that H2A.J-positive cells increase in aging human epidermis and suggests H2A.J as a biomarker of some senescent skin cells. It reports 53BP1 foci—not γH2AX—in human epidermis and does not identify the stratum spinosum as a particular site. The earlier markers are attached to citations 207 and 208, so they are not assessed against this source. (LLM, conf=0.87)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe ovary exhibits age-dependent inflammation and fibrosis, but whether these are associated with senescence has not been conclusively established.
“Additionally, the ovary exhibits age-dependent inflammation and fibrosis234–237; however, whether these are associated with senescence has not been conclusively established.”
Quote in the paperNot a substantial claim4 of 4 sources checked- cites [234] Briley, S. M. et al. Reproductive age-associated fibrosis in the stroma of the mammalian ovary. Reproduction 152, 245–260 (2016). source
- cites [235] Lliberos, C. et al. Evaluation of inflammation and follicle depletion during ovarian ageing in mice. Sci. Rep. 11, 278 (2021). source
The Discussion reports increased inflammatory markers in ageing mouse ovaries, and the Introduction cites an earlier study finding more stromal fibrosis in older mice. But this paper’s own Results (“Fibrosis does not change in the ageing mouse ovary”) found no significant change in fibrosis from 2 to 18 months, so it does not establish age-dependent fibrosis. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [236] Amargant, F. et al. Ovarian stiffness increases with age in the mammalian ovary and depends on collagen and hyaluronan matrices. Aging Cell 19, e13259 (2020). source
- cites [237] Zhang, Z., Schlamp, F., Huang, L., Clark, H. & Brayboy, L. Inflammaging is associated with shifted macrophage ontogeny and polarization in the aging mouse ovary. Reproduction 159, 325–337 (2020). source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSeveral senescence markers increase in the ageing mouse colon in homogenized tissue.
“Several senescence markers have been reported to increase in the ageing mouse colon in homogenized tissue141.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [141] Baker, D. J. et al. Naturally occurring p16Ink4a-positive cells shorten healthy lifespan. Nature 530, 184–189 (2016). source
May combine two claims.
PremisecitationMitochondria of syncytiotrophoblasts undergo morphological and functional changes, with decreased size and ATP production, leading to increased ROS production to adapt to changing oxygen tension in the placenta.
“Moreover, mitochondria of syncytiotrophoblasts undergo morphological and functional changes, characterized by decreased size and diminished ATP production, leading to increased ROS production to adapt to changing oxygen tension in the placenta248,256.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [248] Cindrova-Davies, T., Fogarty, N. M. E., Jones, C. J. P., Kingdom, J. & Burton, G. J. Evidence of oxidative stress-induced senescence in mature, post-mature and pathological human placentas. Placenta 68, 15–22 (2018). source
The Results and Discussion describe oxidative stress and senescence in syncytiotrophoblasts and placental explants after hypoxia-reoxygenation, but do not address the claimed mitochondrial changes. Searches for mitochondrial size, ATP production, ROS production, and adaptation to oxygen tension found no passage supporting that mechanism. (LLM, conf=0.73)
Experimental — accuracy not yet measured - cites [256] Bartho, L. A., Fisher, J. J., Cuffe, J. S. M. & Perkins, A. V. Mitochondrial transformations in the aging human placenta. Am. J. Physiol. Endocrinol. Metab. 319, E981–E994 (2020). source
May combine two claims.
PremisecitationTelomeres from fetal growth restriction placentas are shorter and express higher CDKN2A and CDKN1A protein and EEF1A1 RNA compared with placentas from normal growth fetuses.
“Telomeres from fetal growth restriction placentas are shorter and express higher levels of CDKN2A and CDKN1A protein and EEF1A1 RNA compared with placentas from normal growth fetuses265.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [265] Davy, P., Nagata, M., Bullard, P., Fogelson, N. S. & Allsopp, R. Fetal growth restriction is associated with accelerated telomere shortening and increased expression of cell senescence markers in the placenta. Placenta 30, 539–542 (2009). source
The Results and discussion section reports shorter telomeres and higher expression of p16, p21, and EF-1α in FGR placentas than in controls. But it measured expression of all three markers by RT-PCR; it does not establish higher CDKN2A or CDKN1A protein levels. Page numbers are unavailable in our copy. (LLM, conf=0.91)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationTrophoblast senescence is physiological, progresses with gestation and peaks at term; senescence is also described in maternal decidual cells and fetoplacental membranes, where it promotes parturition and placental detachment at term.
“In addition to trophoblast senescence, which is a physiological phenomenon that progresses with gestation and peaks at term, senescence is also extensively described in maternal decidual cells and fetoplacental membranes, where it has a pivotal role in the promotion of parturition and detachment of the placenta from the uterus at term257–262.”
Quote in the paperNot a substantial claim4 of 6 sources checked- cites [257] Menon, R. Human fetal membranes at term: dead tissue or signalers of parturition? Placenta 44, 1–5 (2016). source
The sections on fetal membrane structure and biologic aging describe physiological membrane senescence during pregnancy and at term; the latter says signals from senescent membranes could trigger parturition. The copy does not establish the claimed gestational trajectory of trophoblast senescence, senescence in maternal decidual cells, or a role in placental detachment. It also presents the membrane contribution to labor as possible, rather than pivotal. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [258] Bonney, E. A. et al. Differential senescence in feto-maternal tissues during mouse pregnancy. Placenta 43, 26–34 (2016). source
The Discussion (page not provided) reports that fetal-membrane senescence progresses through mouse gestation, while placental and decidual senescence is minimal and detectable only near its end. The Conclusions say fetal-membrane senescence may contribute to parturition at term. The paper does not establish progressive senescence specifically in trophoblasts or a role for senescence in placental detachment, and the claim states the parturition role more definitively than the source does. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [259] Cox, L. S. & Redman, C. The role of cellular senescence in ageing of the placenta. Placenta 52, 139–145 (2017). source
- cites [260] Wijaya, J. C., Khanabdali, R., Georgiou, H. M. & Kalionis, B. Ageing in human parturition: impetus of the gestation clock in the deciduadagger. Biol. Reprod. 103, 695–710 (2020). source
- cites [261] Menon, R. et al. Placental membrane aging and HMGB1 signaling associated with human parturition. Aging 8, 216–230 (2016). source
The Results section (page unavailable) reports increased senescence markers in fetal amnion and chorion membranes at term labor, and the Introduction proposes that membrane-cell senescence may promote parturition. The paper does not establish senescence in trophoblasts or maternal decidual cells, a gestation-long progression peaking at term, or a role in placental detachment. It also treats promotion of labor as a hypothesis rather than a proven causal role. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [262] Rajagopalan, S. & Long, E. O. Cellular senescence induced by CD158d reprograms natural killer cells to promote vascular remodeling. Proc. Natl Acad. Sci. USA 109, 20596–20601 (2012). source
The section on CD158d activation reports a senescence signature in decidual NK cells during weeks 6–12 of pregnancy, and the paper proposes a reproductive role through vascular remodeling in early pregnancy. It does not establish senescence of trophoblasts or fetoplacental membranes, progression or a peak at term, or a role in parturition or placental detachment. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Findingnone givenThe Biomarkers Working Group observed that the literature tends to oversimplify cell-state annotation, worsened by no universally accepted definition of cellular senescence.
“The Biomarkers Working Group within SenNet has observed a recurring issue within the scientific literature regarding cellular senescence in various tissues in the context of ageing and age-related conditions, namely a tendency towards oversimplification of cell-state annotation, exacerbated by the absence of a universally accepted definition of cellular senescence.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenA considerable portion of the literature relies on analyses of homogenized tissue samples, ignoring unique attributes of distinct cell types.
“Importantly, a considerable portion of the literature heavily relies on analyses of homogenized tissue samples, which disregards the unique attributes of distinct cell types.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Findingown dataThe database contains information from 224 peer-reviewed papers and 328 markers across 14 mouse and human tissues plus circulating markers.
“The database contains information from 224 peer-reviewed papers and 328 markers, covering a total of 14 mouse and human tissues, along with circulating markers.”
Quote in the paperSubstantial claim- Rests on an assumption: The set of 224 papers and 328 markers in their database is sufficiently comprehensive and representative to support tissue-specific marker recommendations.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataTable 1 includes senescence markers documented in the database in three or more tissues.
“Table 1 features senescence markers documented in our database in three or more tissues.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThese markers represent six of the nine senescence hallmarks, with SASP most represented.
“Collectively, these markers represent six of the nine senescence hallmarks, with the SASP being most represented.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataH2AX is the most utilized DDR marker across tissues, followed by telomere length and TAF.
“H2AX is the most utilized marker for assessing the DDR across tissues, followed by telomere length and TAF.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLoss of LMNB1 and nuclear HMGB1 have been documented in 5 and 7 tissues, respectively.
“nuclear changes evidenced by the loss of LMNB1 and nuclear HMGB1 have been documented in 5 and 7 tissues, respectively.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenIn tissues, senescent cells are relatively rare and difficult to characterize.
“By contrast, in tissues, these cells are relatively rare and difficult to characterize”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenIn tissue culture studies, each cell in the culture is driven to irreversible cell cycle arrest.
“Much of our understanding of senescent cell biology still originates from tissue culture studies, where each cell in the culture is driven to an irreversible cell cycle arrest.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningMultiple hallmarks must be present to identify senescent cells.
“Therefore, the presence of multiple hallmarks is required to identify senescent cells.”
Quote in the paperSubstantial claim- Rests on an assumption: The presence of multiple senescence hallmarks in the same cell is sufficient to identify a senescent cell.
Classified as probably not a substantial claim.
Study design and conductreasoningThe review selected publications that evaluated multiple senescence-associated markers.
“Additionally, our selection criteria focused on publications that evaluated multiple senescence-associated markers.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenFully differentiated postmitotic cells can also acquire a senescence phenotype.
“it is now established that fully differentiated, postmitotic cells can also acquire a senescence phenotype”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenNo specific marker of cellular senescence exists; almost all proposed markers can be absent from senescent cells in some contexts or present in non-senescent cells.
“A key challenge is the lack of a specific marker of cellular senescence, as virtually all markers that have been proposed can be absent from senescent cells in specific contexts (for example, cell types, senescence type), or they can be present in non-senescent cells.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningBecause SASP features overlap with immune cell features, markers are needed to distinguish activated resident immune cells from bona fide senescent cells.
“As features of the SASP overlap with those of immune cells, it is imperative to identify marker(s) that can distinguish between activated resident immune cells and bona fide senescent cells.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningThe heterogeneity of senescence in the ageing mouse and human brain requires cell type-specific and region-specific characterization.
“Importantly, the complex heterogeneity of senescence in the ageing mouse and human brain warrants cell type-specific and region-specific characterization.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn human ageing kidneys, CDKN2A, CDKN1B, CDK4, MMP1 and HSPA5 mRNA increase in the cortex, and nuclear CDKN2A staining is predominantly in distal tubules and collecting ducts, but also in glomerular parietal epithelium and podocytes.
“CDKN2A, CDKN1B, CDK4, MMP1 and HSPA5 mRNA levels increase in the cortex and nuclear staining of CDKN2A is observed predominantly in distal tubules and collecting ducts, but also in glomerular parietal epithelium and podocytes151.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [151] Melk, A. et al. Expression of p16INK4a and other cell cycle regulator and senescence associated genes in aging human kidney. Kidney Int. 65, 510–520 (2004). source
May combine two claims.
PremisecitationTelomeres are shorter in the kidney cortex but not in the medulla.
“Telomeres are shorter in the cortex but not in the medulla153.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [153] Melk, A. et al. Telomere shortening in kidneys with age. J. Am. Soc. Nephrol. 11, 444–453 (2000). source
May combine two claims.
PremisecitationCDKN2A protein expression in cortical interstitial cells and TECs correlates with age, whereas CDKN1B protein expression correlates with age only in cortical tubular cells.
“CDKN2A protein expression in cortical interstitial cells and TECs correlates with age; by contrast, expression of CDKN1B protein correlates with age only in cortical tubular cells152.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [152] Chkhotua, A. B. et al. Increased expression of p16INK4a and p27Kip1 cyclin-dependent kinase inhibitor genes in aging human kidney and chronic allograft nephropathy. Am. J. Kidney Dis. 41, 1303–1313 (2003). source
May combine two claims.
PremisecitationNuclear CDKN2A level increases in glomerular and interstitial cells in glomerular disease and in tubules and podocytes in diabetic nephropathy.
“Furthermore, the nuclear CDKN2A level increases in glomerular and interstitial cells in individuals with glomerular disease145, and in tubules and podocytes in individuals with diabetic nephropathy147.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [145] Sis, B. et al. Accelerated expression of senescence associated cell cycle inhibitor p16INK4A in kidneys with glomerular disease. Kidney Int. 71, 218–226 (2007). source
- cites [147] Verzola, D. et al. Accelerated senescence in the kidneys of patients with type 2 diabetic nephropathy. Am. J. Physiol. Ren. Physiol. 295, F1563–F1573 (2008). source
May combine two claims.
PremisecitationIn post-mortem pancreas of 140 individuals without pancreatic disease, 114 (81%) had ductal lesions such as mucous cell hyperplasia typically associated with KRAS activating mutations, and these lesions increase after age 40.
“In a study of the post-mortem pancreas of 140 individuals without pancreatic disease, 114 (81%) exhibited ductal lesions such as mucous cell hyperplasia, typically associated with KRAS activating mutations; the ductal lesions show an increasing trend after the age of 40 years195.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [195] Luttges, J. et al. Duct changes and K-ras mutations in the disease-free pancreas: analysis of type, age relation and spatial distribution. Virchows Arch. 435, 461–468 (1999). source
May combine two claims.
InterpretationcitationSenescence is induced in early neoplastic stages and may have a role in preventing progression of malignancy.
“These findings suggest that senescence is induced in early neoplastic stages and may have a role in preventing the progression of malignancy.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [197] Miyasaka, Y. et al. Senescence in intraductal papillary mucinous neoplasm of the pancreas. Hum. Pathol. 42, 2010–2017 (2011). source
May combine two claims.
Premisenone givenDevelopmental senescence is a programmed transient cellular senescence with a crucial role in mammalian embryonic development, occurring in both embryo and placenta.
“Developmental senescence is a programmed transient cellular senescence that has a crucial role in mammalian embryonic development, occurring not only in the embryo but also in the placenta.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone givenThe primary objective of this work was to establish a foundation for informed development of spatial mapping panels based on existing evidence of tissue senescence markers.
“Our primary objective here was to establish a foundation for the informed development of spatial mapping panels based on the existing evidence of senescence markers in tissues.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe database associated with this Expert Recommendation will be a dynamic document regularly updated by SenNet with new findings from within the consortium and beyond.
“The database associated with this Expert Recommendation will serve as a dynamic document that SenNet will regularly update, incorporating novel findings from within the consortium and beyond.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenSenNet results and broader spatial mapping work will considerably advance understanding of senescence diversity across cell types and its functional implications in ageing and disease.
“We anticipate that the results generated by SenNet, as well as by the broader cellular senescence research community using spatial mapping techniques, will considerably advance our comprehension of the diversity of senescence in various cell types and its functional implications in ageing and disease.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationHighly specific syncytiotrophoblast genes are induced in physiologically aged fibroblasts and during replicative or stress-induced senescence in non-trophoblast cell lineages.
“Recently, highly specific syncytiotrophoblast genes were identified to be induced in physiologically aged fibroblasts, as well as during replicative senescence or stress-induced cellular senescence in non-trophoblast cell lineages263.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [263] Liu, Z. et al. Large-scale chromatin reorganization reactivates placenta-specific genes that drive cellular aging. Dev. Cell 57, 1347–1368.e12 (2022). source
Classified as probably not a substantial claim.
Premisenone givenSenNet's multimodal efforts are designed to identify novel and specific senescence markers that can be differentiated from other cellular changes during ageing.
“The multimodal efforts of SenNet are designed to pinpoint novel and specific markers of senescence, enabling us to differentiate them from other types of cellular change that may occur during ageing.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThis Expert Recommendation focused its discussion on senescence markers applied to identifying senescent cells in individual tissues.
“Specifically, we have focused our discussion on senescence markers applied to the identification of senescent cells in individual tissues.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenMachine learning and artificial intelligence techniques are under development to distinguish senescent from non-senescent cells based on morphological differences.
“Furthermore, innovative machine learning and artificial intelligence techniques are under development to distinguish senescent from non-senescent cells based on their morphological differences (Box 3).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisereasoningHigh-content and high-throughput single-cell and spatial omics technologies accelerate discovery of senescence biomarkers needed for progress in ageing and disease research.
“To achieve this goal, high-content and high-throughput single-cell and spatial omics technologies are deployed, which accelerate the discovery of crucial senescence biomarkers required for progress in the study of ageing and disease (Box 5).”
Quote in the paperSubstantial claim
The paper relies on this without support.
The set of 224 papers and 328 markers in their database is sufficiently comprehensive and representative to support tissue-specific marker recommendations.
“The database contains information from 224 peer-reviewed papers and 328 markers, covering a total of 14 mouse and human tissues, along with circulating markers.”
The paper relies on this without support.
The presence of multiple senescence hallmarks in the same cell is sufficient to identify a senescent cell.
“Our recommendation is to require the presence of multiple hallmarks of senescence in the same cell, as described in Box 2.”
The paper relies on this without support.
Marker expression observed in animal models can be extrapolated to human tissues.
“in 14 tissues in mice and humans”
The paper relies on this without support.
The senescence markers reported in the cited studies are valid indicators of cellular senescence in the tissues discussed.
“Based on information from published human and mouse studies, we have outlined the current knowledge about senescence markers that are specific to various tissues.”
The paper relies on this without support.
Findings about senescence markers in mouse tissues can inform the identification of senescent cells in the corresponding human tissues.
“Senescence is observed in several human and mouse kidney cell types during healthy ageing and nephropathy.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Current guidelines by the senescence research community prioritize p21 and p16 as key CDKi for senescence characterization.
“Yet, current guidelines by the senescence research community prioritize p21 and p16 as key CDKi for senescence characterization (Ogrodnik et al, 2024; Suryadevara et al, 2024).”
From Distinct senotypes in p16- and p21-positive cells across human and mouse aging tissues (2025) · cites this paper as Suryadevara et al, 2024
The heterogeneous cell-type and context-specific phenotype of senescent cells has presented challenges for identifying a universal biomarker.
“The heterogeneous cell-type and context-specific phenotype of senescent cells has presented challenges for identifying a universal biomarker [18,19].”
From Evaluation of exploratory fluid biomarkers from a phase 1 senolytic trial in mild Alzheimer's disease (2025) · cites this paper as [18]
Biomarker discovery in the senescence field is in its infancy.
“Major advances have been made in fluid and imaging biomarkers to diagnose and track AD progression in clinical trials [17]; however, biomarker discovery in the senescence field is in its infancy [18].”
From Evaluation of exploratory fluid biomarkers from a phase 1 senolytic trial in mild Alzheimer's disease (2025) · cites this paper as [18]
Current recommendation of NIH SenNet is to identify senescent cells by presence of multiple known hallmarks at once.
“the current recommendation of the NIH Common Fund’s Senescence Network (SenNet) is to identify senescent cells by the presence of multiple known hallmarks at once.39”
From Uncovering the signatures of aging and senescence in the human dorsolateral prefrontal cortex (2026) · cites this paper as [39]
Among nine proposed hallmarks are DDR, nuclear changes, resistance to apoptosis, increased lysosomal content, metabolic adaptations, cell surface markers, and changes in cell morphology.
“among these nine proposed hallmarks are the DNA damage response (DDR) pathway, nuclear changes, a resistance to apoptosis, increased lysosomal content, metabolic adaptations, cell surface markers, and changes in cell morphology.39”
From Uncovering the signatures of aging and senescence in the human dorsolateral prefrontal cortex (2026) · cites this paper as [39]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Low-grade lesions are described as preceding the neoplasm they belong to
MinorThe study's low-grade dysplasia cases are presented as intraductal papillary mucinous neoplasms. The next sentence describes a decline in the same markers during the transition to intraductal papillary mucinous neoplasm, even though those lesions are already cases of it.
“In a study involving 158 cases of intraductal papillary mucinous neoplasms and 10 normal controls, neither SA-β-gal activity nor SAHF formation was observed in the normal controls. However, in neoplastic tissues, particularly in cases of low-grade dysplasia, four senescence markers (CDKN2A, CDKN2B, SA-β-gal activity and CBX5-γ) were detected197.”
“Interestingly, these markers decreased in abundance during the transition to intraductal papillary mucinous neoplasm.”
Cites
A biomarker that identifies senescent human cells in culture and in aging skin in vivo.
Dimri, G. P., Lee, X., Basile, G., Acosta, M., Scott, G., Roskelley, C., Medrano, E. E., Linskens, M., Rubelj, I., & Pereira-Smith, O. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.20.9363 · Cited by 7,477 · see citing works
Cellular Senescence: Defining a Path Forward
Gorgoulis, V., Adams, P. D., Alimonti, A., Bennett, D. C., Bischof, O., Bishop, C., Campisi, J., Collado, M., Evangelou, K., Ferbeyre, G., et al. (2019) · Cell · doi:10.1016/j.cell.2019.10.005 · Cited by 3,225 · see citing works
Self-citationSpatially resolved, highly multiplexed RNA profiling in single cells
Chen, K. H., Boettiger, A. N., Moffitt, J. R., Wang, S., & Zhuang, X. (2015) · Science · doi:10.1126/science.aaa6090 · Cited by 2,969 · cited 2× · see citing works
“Emerging techniques and commercial platforms for spatial transcriptomics can now probe hundreds to thousands of genes such as multiplexed error-robust fluorescence in situ hybridization (MERFISH) 301 (~500-plex), the 10× Xenium (~400-plex) and the Nanostring CosMx (~1,000-plex), and can combine transcriptomics and pro…”
Aging, Cellular Senescence, and Cancer
Campisi, J. (2013) · Annual Review of Physiology · doi:10.1146/annurev-physiol-030212-183653 · Cited by 2,954 · cited 1× · see citing works
“Although the mechanisms driving cellular senescence in tissues are not fully understood, evidence suggests that the accumulation of senescent cells is associated with chronic inflammation, which can be detrimental and result in tissue dysfunction 1–6 .”
Self-citationNaturally occurring p16Ink4a-positive cells shorten healthy lifespan
Baker, D. J., Childs, B. G., Durik, M., Wijers, M. E., Sieben, C. J., Zhong, J., A. Saltness, R., Jeganathan, K. B., Verzosa, G. C., Pezeshki, A., et al. (2016) · Nature · doi:10.1038/nature16932 · Cited by 2,891 · see citing works
Self-citationA DNA damage checkpoint response in telomere-initiated senescence
Fagagna, F. D. D., Reaper, P. M., Clay-Farrace, L., Fiegler, H., Carr, P., von Zglinicki, T., Saretzki, G., Carter, N. P., & Jackson, S. P. (2003) · Nature · doi:10.1038/nature02118 · Cited by 2,855 · cited 11× · see citing works
“During normal ageing, mouse cardiomyocytes accumulate the following senescence-associated markers: TAF, cyclin-dependent kinase inhibitors (CDKN1a, CDKN2B (also known as p15 INK4b ) and CDKN2a), SA-β-gal activity, SADS and a pro-fibrotic SASP 60 .”
InfluentialHallmarks of Cellular Senescence
Hernandez-Segura, A., Nehme, J., & Demaria, M. (2018) · Trends in Cell Biology · doi:10.1016/j.tcb.2018.02.001 · Cited by 2,605 · see citing works
The Achilles' heel of senescent cells: from transcriptome to senolytic drugs
Zhu, Y., Tchkonia, T., Pirtskhalava, T., Gower, A. C., Ding, H., Giorgadze, N., Palmer, A. K., Ikeno, Y., Hubbard, G. B., Lenburg, M., et al. (2015) · Aging Cell · doi:10.1111/acel.12344 · Cited by 2,562 · cited 2× · see citing works
“Senescent cells typically exhibit the upregulation of proteins involved in anti-apoptotic pathways 50,55–58 .”
Self-citationSenolytics improve physical function and increase lifespan in old age
Xu, M., Pirtskhalava, T., Farr, J. N., Weigand, B. M., Palmer, A. K., Weivoda, M. M., Inman, C. L., Ogrodnik, M. B., Hachfeld, C. M., Fraser, D. G., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0092-9 · Cited by 2,287 · see citing works
Self-citationA complex secretory program orchestrated by the inflammasome controls paracrine senescence
Acosta, J. C., Banito, A., Wuestefeld, T., Georgilis, A., Janich, P., Morton, J. P., Athineos, D., Kang, T.-W., Lasitschka, F., Andrulis, M., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2784 · Cited by 2,278 · cited 1× · see citing works
“Two mechanisms of transmission have been described: paracrine senescence is mediated by the SASP 24 , whereas juxtracrine senescence, involving direct cell to cell contact, is mediated by NOTCH1–JAG1 signalling 25,26 .”
Cellular senescence in ageing: from mechanisms to therapeutic opportunities
Di Micco, R., Krizhanovsky, V., Baker, D., & d’Adda di Fagagna, F. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00314-w · Cited by 2,277 · cited 1× · see citing works
“Although senescence is an important, physiologically programmed function during tissue repair, wound healing and embryonic development, in other contexts it is typically the result of stochastic stress, either incurred acutely or accumulated chronically 4 .”
Self-citationPersistent DNA damage signalling triggers senescence-associated inflammatory cytokine secretion
Rodier, F., Coppé, J.-P., Patil, C. K., Hoeijmakers, W. A. M., Muñoz, D. P., Raza, S. R., Freund, A., Campeau, E., Davalos, A. R., & Campisi, J. (2009) · Nature Cell Biology · doi:10.1038/ncb1909 · Cited by 2,232 · see citing works
Self-citationBRAFE600-associated senescence-like cell cycle arrest of human naevi
Michaloglou, C., Vredeveld, L. C. W., Soengas, M. S., Denoyelle, C., Kuilman, T., van der Horst, C. M. A. M., Majoor, D. M., Shay, J. W., Mooi, W. J., & Peeper, D. S. (2005) · Nature · doi:10.1038/nature03890 · Cited by 2,160 · cited 2× · see citing works
“Mouse models of melanoma and human nevi (both oncogene driven) show accumulation of SA-β-gal + –CDKN2A + foci 224,225 .”
Oncogene-Induced Senescence Relayed by an Interleukin-Dependent Inflammatory Network
Kuilman, T., Michaloglou, C., Vredeveld, L. C. W., Douma, S., van Doorn, R., Desmet, C. J., Aarden, L. A., Mooi, W. J., & Peeper, D. S. (2008) · Cell · doi:10.1016/j.cell.2008.03.039 · Cited by 2,086 · see citing works
An Essential Role for Senescent Cells in Optimal Wound Healing through Secretion of PDGF-AA
Demaria, M., Ohtani, N., Youssef, S. A., Rodier, F., Toussaint, W., Mitchell, J. R., Laberge, R.-M., Vijg, J., Van Steeg, H., Dollé, M. E. T., et al. (2014) · Developmental Cell · doi:10.1016/j.devcel.2014.11.012 · Cited by 2,045 · see citing works
Self-citationSenescence of activated stellate cells limits liver fibrosis
Krizhanovsky, V., Yon, M., Dickins, R. A., Hearn, S., Simon, J., Miething, C., Yee, H., Zender, L., & Lowe, S. W. (2008) · Cell · doi:10.1016/j.cell.2008.06.049 · Cited by 2,029 · see citing works
Senescence of Activated Stellate Cells Limits Liver Fibrosis
Krizhanovsky, V., Yon, M., Dickins, R. A., Hearn, S., Simon, J., Miething, C., Yee, H., Zender, L., & Lowe, S. W. (2008) · Cell · doi:10.1016/j.cell.2008.09.015 · Cited by 2,027
Four faces of cellular senescence
Rodier, F., & Campisi, J. (2011) · Journal of Cell Biology · doi:10.1083/jcb.201009094 · Cited by 2,016 · see citing works
Self-citationEndothelial and perivascular cells maintain haematopoietic stem cells
Ding, L., Saunders, T. L., Enikolopov, G., & Morrison, S. J. (2012) · Nature · doi:10.1038/nature10783 · Cited by 1,934 · cited 1× · see citing works
“The physiological balance between the bone marrow’s vascular, mesenchymal and trabecular cell populations supports a proper haematopoietic stem cell niche, which is required for the production of different blood cell lineages 90,91 .”
Self-citationClearance of senescent cells by ABT263 rejuvenates aged hematopoietic stem cells in mice
Chang, J., Wang, Y., Shao, L., Laberge, R.-M., Demaria, M., Campisi, J., Janakiraman, K., Sharpless, N. E., Ding, S., Feng, W., et al. (2016) · Nature Medicine · doi:10.1038/nm.4010 · Cited by 1,819 · see citing works
Self-citationChemokine signaling via the CXCR2 receptor reinforces senescence
Acosta, J. C., O'Loghlen, A., Banito, A., Guijarro, M. V., Augert, A., Raguz, S., Fumagalli, M., Da Costa, M., Brown, C., Popov, N., et al. (2008) · Cell · doi:10.1016/j.cell.2008.03.038 · Cited by 1,801 · see citing works
Senescence in Health and Disease
He, S., & Sharpless, N. E. (2017) · Cell · doi:10.1016/j.cell.2017.05.015 · Cited by 1,766 · see citing works
High frequency of BRAF mutations in nevi
Pollock, P. M., Harper, U. L., Hansen, K. S., Yudt, L. M., Stark, M., Robbins, C. M., Moses, T. Y., Hostetter, G., Wagner, U., Kakareka, J., et al. (2003) · Nature Genetics · doi:10.1038/ng1054 · Cited by 1,730 · see citing works
Ink4a/Arf expression is a biomarker of aging
Krishnamurthy, J., Torrice, C., Ramsey, M. R., Kovalev, G. I., Al-Regaiey, K., Su, L., & Sharpless, N. E. (2004) · Journal of Clinical Investigation · doi:10.1172/jci22475 · Cited by 1,486 · cited 1× · see citing works
“238–240), Cdkn1a, Serpine1 and Hmgb1 (ref.”
Programmed cell senescence during mammalian embryonic development
Muñoz-Espín, D., Cañamero, M., Maraver, A., Gómez-López, G., Contreras, J., Murillo-Cuesta, S., Rodríguez-Baeza, A., Varela-Nieto, I., Ruberte, J., Collado, M., et al. (2013) · Cell · doi:10.1016/j.cell.2013.10.019 · Cited by 1,428 · see citing works
Hickson, L. J., Langhi Prata, L. G. P., Bobart, S. A., Evans, T. K., Giorgadze, N., Hashmi, S. K., Herrmann, S. M., Jensen, M. D., Jia, Q., Jordan, K. L., et al. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2019.08.069 · Cited by 1,383 · cited 1× · see citing works
“Validated senescence biomarkers ideally meet several criteria, most importantly correlation with tissue senescence burdens and a decrease following senescent cell removal, which has been explored in few studies to date 295–297 .”
Self-citationA proteomic atlas of senescence-associated secretomes for aging biomarker development
Basisty, N., Kale, A., Jeon, O. H., Kuehnemann, C., Payne, T., Rao, C., Holtz, A., Shah, S., Sharma, V., Ferrucci, L., et al. (2020) · PLOS Biology · doi:10.1371/journal.pbio.3000599 · Cited by 1,348 · cited 2× · see citing works
“The majority of proposed circulating biomarkers were initially SASP factors reported in cell culture 211,280–283 and subsequently introduced into in vivo senescence signatures in conditions associated with increased burden of senescent cells, such as ageing, age-related diseases and associated…”
Self-citationCellular senescence promotes adverse effects of chemotherapy and cancer relapse
Demaria, M., O'Leary, M. N., Chang, J., Shao, L., Liu, S., Alimirah, F., Koenig, K., Le, C., Mitin, N., Deal, A. M., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0241 · Cited by 1,338 · cited 1× · see citing works
“For example, many anticancer therapies have the adverse effect of inducing senescence in healthy, non-cancerous cells, thereby contributing to local and systemic inflammation 5 .”
Self-citationCytoplasmic chromatin triggers inflammation in senescence and cancer
Dou, Z., Ghosh, K., Vizioli, M. G., Zhu, J., Sen, P., Wangensteen, K. J., Simithy, J., Lan, Y., Lin, Y., Zhou, Z., et al. (2017) · Nature · doi:10.1038/nature24050 · Cited by 1,335 · see citing works
Self-citationClearance of senescent glial cells prevents tau-dependent pathology and cognitive decline
Bussian, T. J., Aziz, A., Meyer, C. F., Swenson, B. L., van Deursen, J. M., & Baker, D. J. (2018) · Nature · doi:10.1038/s41586-018-0543-y · Cited by 1,289 · see citing works
Self-citationHaematopoietic stem cells and early lymphoid progenitors occupy distinct bone marrow niches
Ding, L., & Morrison, S. J. (2013) · Nature · doi:10.1038/nature11885 · Cited by 1,285 · cited 1× · see citing works
“The physiological balance between the bone marrow’s vascular, mesenchymal and trabecular cell populations supports a proper haematopoietic stem cell niche, which is required for the production of different blood cell lineages 90,91 .”
Self-citationSenolytics in idiopathic pulmonary fibrosis: Results from a first-in-human, open-label, pilot study
Justice, J. N., Nambiar, A. M., Tchkonia, T., LeBrasseur, N. K., Pascual, R., Hashmi, S. K., Prata, L., Masternak, M. M., Kritchevsky, S. B., Musi, N., et al. (2019) · EBioMedicine · doi:10.1016/j.ebiom.2018.12.052 · Cited by 1,261 · see citing works
L1 drives IFN in senescent cells and promotes age-associated inflammation
De Cecco, M., Ito, T., Petrashen, A. P., Elias, A. E., Skvir, N. J., Criscione, S. W., Caligiana, A., Brocculi, G., Adney, E. M., Boeke, J. D., et al. (2019) · Nature · doi:10.1038/s41586-018-0784-9 · Cited by 1,255 · cited 2× · see citing works
“Studies on aged mouse hepatocytes have shown the presence of senescence-associated markers such as SA-β-gal activity 157 , TAF 54,158 , karyomegaly and SADS 159 , LINE-1 expression 23 and expression of SASP factors 141 .”
Self-citationSenescent intimal foam cells are deleterious at all stages of atherosclerosis
Childs, B. G., Baker, D. J., Wijshake, T., Conover, C. A., Campisi, J., & van Deursen, J. M. (2016) · Science · doi:10.1126/science.aaf6659 · Cited by 1,195 · cited 1× · see citing works
“In mouse models of atherosclerosis ( Ldlr –/–) , advanced atherosclerotic lesions exhibit SA-β-gal expression and upregulation of Cdkn2a and canonical SASP components 71 .”
Self-citationSenescence is a developmental mechanism that contributes to embryonic growth and patterning
Storer, M., Mas, A., Robert-Moreno, A., Pecoraro, M., Ortells, M. C., Di Giacomo, V., Yosef, R., Pilpel, N., Krizhanovsky, V., Sharpe, J., et al. (2013) · Cell · doi:10.1016/j.cell.2013.10.041 · Cited by 1,186 · cited 1× · see citing works
“Senescence is influenced by various intrinsic and extrinsic factors and can be observed as early as during embryogenesis 2,3 .”
Targeting cellular senescence prevents age-related bone loss in mice
Farr, J. N., Xu, M., Weivoda, M. M., Monroe, D. G., Fraser, D. G., Onken, J. L., Negley, B. A., Sfeir, J. G., Ogrodnik, M. B., Hachfeld, C. M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4385 · Cited by 1,182 · see citing works
Self-citationCellular senescence and senolytics: the path to the clinic
Chaib, S., Tchkonia, T., & Kirkland, J. L. (2022) · Nature Medicine · doi:10.1038/s41591-022-01923-y · Cited by 1,105 · cited 1× · see citing works
“We refer the readers to the many Review articles that cover topics such as the links between cellular senescence, metastatic cancer 267 and endocrine diseases 268 , and the current status of the search for senolytics 269 .”
Forging a signature of in vivo senescence
Sharpless, N. E., & Sherr, C. J. (2015) · Nature Reviews Cancer · doi:10.1038/nrc3960 · Cited by 1,104 · see citing works
Mitochondrial dysfunction in cell senescence and aging
Miwa, S., Kashyap, S., Chini, E., & von Zglinicki, T. (2022) · Journal of Clinical Investigation · doi:10.1172/jci158447 · Cited by 1,061 · cited 1× · see citing works
“These drivers include mitochondrial DNA (mtDNA) depletion and mutations, inhibitors of the electron transport chain, loss of HSPA9, loss of SIRT3 and SIRT5, and disruptions in complex I assembly 47 .”
A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues
Saul, D., Kosinsky, R. L., Atkinson, E. J., Doolittle, M. L., Zhang, X., LeBrasseur, N. K., Pignolo, R. J., Robbins, P. D., Niedernhofer, L. J., Ikeno, Y., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32552-1 · Cited by 1,060 · cited 9× · see citing works
“The SenMayo senescence signature is a curated set of 125 human genes and 119 mouse genes enriched in senescent and/or senescence-associated secretory phenotype (SASP)-secreting cells across 15 studies 84 .”
InfluentialSelf-citationCellular senescence drives age-dependent hepatic steatosis
Ogrodnik, M., Miwa, S., Tchkonia, T., Tiniakos, D., Wilson, C. L., Lahat, A., Day, C. P., Burt, A., Palmer, A., Anstee, Q. M., et al. (2017) · Nature Communications · doi:10.1038/ncomms15691 · Cited by 1,044 · cited 1× · see citing works
“expression of CDKN1A , CDKN2A and the presence of TAF has been found in the context of non-alcoholic fatty liver disease 159,161 , and TAF have been reported in livers from individuals with alcoholic liver disease 162 .”
Self-citationAguirre, A. J., Bardeesy, N., Sinha, M., Lopez, L., Tuveson, D. A., Horner, J., Redston, M. S., & DePinho, R. A. (2003) · Genes & Development · doi:10.1101/gad.1158703 · Cited by 1,033 · cited 1× · see citing works
“These KRAS mutations are also found in the early stages of pancreatic ductal adenocarcinoma, preceding the appearance of senescence markers such as p53, CDKN2A and SMAD4 196 .”
Directed elimination of senescent cells by inhibition of BCL-W and BCL-XL
Yosef, R., Pilpel, N., Tokarsky-Amiel, R., Biran, A., Ovadya, Y., Cohen, S., Vadai, E., Dassa, L., Shahar, E., Condiotti, R., et al. (2016) · Nature Communications · doi:10.1038/ncomms11190 · Cited by 1,032 · cited 1× · see citing works
“Another reported hallmark of senescent fibroblasts, in idiopathic pulmonary fibrosis, is the enhanced expression of anti-apoptotic BCL2 family proteins such as BCL2L2, BCL2 and BCL2L1 along with reduced levels of the pro-apoptotic proteins BAK1 and BAX 180,181 .”
Zhang, P., Kishimoto, Y., Grammatikakis, I., Gottimukkala, K., Cutler, R. G., Zhang, S., Abdelmohsen, K., Bohr, V. A., Misra Sen, J., Gorospe, M., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0372-9 · Cited by 977 · cited 3× · see citing works
“Mouse models of Alzheimer disease and tauopathies display overlapping marker profiles in both neuronal and glial cells, and the disease-related phenotypes exhibit a responsiveness to senolytics 107,109,111,112 .”
An aged immune system drives senescence and ageing of solid organs
Yousefzadeh, M. J., Flores, R. R., Zhu, Y., Schmiechen, Z. C., Brooks, R. W., Trussoni, C. E., Cui, Y., Angelini, L., Lee, K.-A., McGowan, S. J., et al. (2021) · Nature · doi:10.1038/s41586-021-03547-7 · Cited by 972 · cited 2× · see citing works
“Other potential sources of circulating biomarkers remain to be explored in detail in vivo, including senescence-associated extracellular vesicles (another bioactive component of the SASP 290 ) and senescent circulating lymphocytes 86,290–294 .”
Self-citationXu, M., Tchkonia, T., Ding, H., Ogrodnik, M., Lubbers, E. R., Pirtskhalava, T., White, T. A., Johnson, K. O., Stout, M. B., Mezera, V., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1515386112 · Cited by 915 · cited 2× · see citing works
“119–122).”
Self-citationThe aging of the immune system
Weiskopf, D., Weinberger, B., & Grubeck-Loebenstein, B. (2009) · Transplant International · doi:10.1111/j.1432-2277.2009.00927.x · Cited by 908 · cited 1× · see citing works
“The immunosenescence noted in advanced age leads to increased susceptibility to infections and reduced responsiveness to vaccination 73 .”
Hewitt, G., Jurk, D., Marques, F. D. M., Correia-Melo, C., Hardy, T., Gackowska, A., Anderson, R., Taschuk, M., Mann, J., & Passos, J. F. (2012) · Nature Communications · doi:10.1038/ncomms1708 · Cited by 908 · cited 11× · see citing works
“During normal ageing, mouse cardiomyocytes accumulate the following senescence-associated markers: TAF, cyclin-dependent kinase inhibitors (CDKN1a, CDKN2B (also known as p15 INK4b ) and CDKN2a), SA-β-gal activity, SADS and a pro-fibrotic SASP 60 .”
InfluentialSelf-citationA crucial role for adipose tissue p53 in the regulation of insulin resistance
Minamino, T., Orimo, M., Shimizu, I., Kunieda, T., Yokoyama, M., Ito, T., Nojima, A., Nabetani, A., Oike, Y., Matsubara, H., et al. (2009) · Nature Medicine · doi:10.1038/nm.2014 · Cited by 891 · see citing works
Cellular senescence and its effector programs
Salama, R., Sadaie, M., Hoare, M., & Narita, M. (2014) · Genes & Development · doi:10.1101/gad.235184.113 · Cited by 855 · see citing works
Telomeric DNA damage is irreparable and causes persistent DNA-damage-response activation
Fumagalli, M., Rossiello, F., Clerici, M., Barozzi, S., Cittaro, D., Kaplunov, J. M., Bucci, G., Dobreva, M., Matti, V., Beausejour, C. M., et al. (2012) · Nature Cell Biology · doi:10.1038/ncb2466 · Cited by 851 · cited 1× · see citing works
“Studies on aged mouse hepatocytes have shown the presence of senescence-associated markers such as SA-β-gal activity 157 , TAF 54,158 , karyomegaly and SADS 159 , LINE-1 expression 23 and expression of SASP factors 141 .”
Apoptotic stress causes mtDNA release during senescence and drives the SASP
Victorelli, S. G., Salmonowicz, H., Chapman, J., Martini, H., Vizioli, M. G., Riley, J. S., Cloix, C., Hall-Younger, E., Espíndola‐Netto, J. M., Jurk, D., et al. (2023) · Nature · doi:10.1038/s41586-023-06621-4 · Cited by 696 · cited 2× · see citing works
“Senescent cells typically exhibit the upregulation of proteins involved in anti-apoptotic pathways 50,55–58 .”
Self-citationDNA damage response and cellular senescence in tissues of aging mice
Wang, C., Jurk, D., Maddick, M., Nelson, G., Martin‐Ruiz, C., & Von Zglinicki, T. (2009) · Aging Cell · doi:10.1111/j.1474-9726.2009.00481.x · Cited by 696 · see citing works
Self-citationThe metabolic roots of senescence: mechanisms and opportunities for intervention
Wiley, C. D., & Campisi, J. (2021) · Nature Metabolism · doi:10.1038/s42255-021-00483-8 · Cited by 691 · cited 1× · see citing works
“Mitochondrial dysfunction-associated senescence is primarily driven by the accumulation of cytosolic NADH, leading to ATP depletion and AMPK activation and cell cycle arrest 21 .”
Self-citationCODEX multiplexed tissue imaging with DNA-conjugated antibodies
Black, S. A., Phillips, D. J., Hickey, J. W., Kennedy‐Darling, J., Venkataraaman, V. G., Samusik, N., Goltsev, Y., Schürch, C. M., & Nolan, G. P. (2021) · Nature Protocols · doi:10.1038/s41596-021-00556-8 · Cited by 668 · see citing works
Targeting senescent cells alleviates obesity-induced metabolic dysfunction
Palmer, A. K., Xu, M., Zhu, Y., Pirtskhalava, T., Weivoda, M. M., Hachfeld, C. M., Prata, L. G., van Dijk, T. H., Verkade, E., Casaclang‐Verzosa, G., et al. (2019) · Aging Cell · doi:10.1111/acel.12950 · Cited by 658 · see citing works
Self-citationMacrophages in health and disease
Park, M. D., Silvin, A., Ginhoux, F., & Merad, M. (2022) · Cell · doi:10.1016/j.cell.2022.10.007 · Cited by 644 · see citing works
A key role for mitochondrial gatekeeper pyruvate dehydrogenase in oncogene-induced senescence
Kaplon, J., Zheng, L., Meissl, K., Chaneton, B., Selivanov, V. A., Mackay, G., van der Burg, S. H., Verdegaal, E. M. E., Cascante, M., Shlomi, T., et al. (2013) · Nature · doi:10.1038/nature12154 · Cited by 633 · see citing works
Matthews, C., Gorenne, I., Scott, S., Figg, N., Kirkpatrick, P., Ritchie, A., Goddard, M., & Bennett, M. (2006) · Circulation Research · doi:10.1161/01.res.0000233315.38086.bc · Cited by 615 · cited 2× · see citing works
“Moreover, in humans, vascular smooth muscle cells isolated from atherosclerotic plaques also express senescence-associated markers, including CDKN1A, CDKN2A and SA-β-gal activity 72 .”
Jurk, D., Wang, C., Miwa, S., Maddick, M., Korolchuk, V., Tsolou, A., Gonos, E. S., Thrasivoulou, C., Jill Saffrey, M., Cameron, K., et al. (2012) · Aging Cell · doi:10.1111/j.1474-9726.2012.00870.x · Cited by 598 · cited 2× · see citing works
“…oligodendrocyte lineage cells and endothelial cells, exhibit overexpression of combinations of senescence-related cell cycle regulators ( CDKN2A , TP53 and CDKN1A ) and SASP factors ( CCL2 , IL1A , IL1B , IL6 , MMP1 , MMP3 , SERPINE1 , SPP1 and TNF ) in the context of ageing and disease 99–105 .”
Self-citationTau protein aggregation is associated with cellular senescence in the brain
Musi, N., Valentine, J. M., Sickora, K. R., Baeuerle, E., Thompson, C. S., Shen, Q., & Orr, M. E. (2018) · Aging Cell · doi:10.1111/acel.12840 · Cited by 595 · cited 2× · see citing works
“Mouse models of Alzheimer disease and tauopathies display overlapping marker profiles in both neuronal and glial cells, and the disease-related phenotypes exhibit a responsiveness to senolytics 107,109,111,112 .”
Astrocyte Senescence as a Component of Alzheimer’s Disease
Bhat, R., Crowe, E. P., Bitto, A., Moh, M., Katsetos, C. D., Garcia, F. U., Johnson, F. B., Trojanowski, J. Q., Sell, C., & Torres, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045069 · Cited by 586 · cited 1× · see citing works
“Mouse models of Alzheimer disease and tauopathies display overlapping marker profiles in both neuronal and glial cells, and the disease-related phenotypes exhibit a responsiveness to senolytics 107,109,111,112 .”
Impaired immune surveillance accelerates accumulation of senescent cells and aging
Ovadya, Y., Landsberger, T., Leins, H., Vadai, E., Gal, H., Biran, A., Yosef, R., Sagiv, A., Agrawal, A., Shapira, A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07825-3 · Cited by 578 · cited 1× · see citing works
“Several lines of evidence suggest that the ability of the immune system to clear senescent cells decreases with age, leading to their accumulation in tissues 7–10 .”
Plasma proteomic signature of age in healthy humans
Tanaka, T., Biancotto, A., Moaddel, R., Moore, A. Z., Gonzalez‐Freire, M., Aon, M. A., Candia, J., Zhang, P., Cheung, F., Fantoni, G., et al. (2018) · Aging Cell · doi:10.1111/acel.12799 · Cited by 562 · see citing works
Identification of senescent cells in the bone microenvironment
Farr, J. N., Fraser, D. G., Wang, H., Jaehn, K., Ogrodnik, M. B., Weivoda, M. M., Drake, M. T., Tchkonia, T., LeBrasseur, N. K., Kirkland, J. L., et al. (2016) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.2892 · Cited by 562 · see citing works
Self-citationKobayashi, Y., Tata, A., Konkimalla, A., Katsura, H., Lee, R. F., Ou, J., Banovich, N. E., Kropski, J. A., & Tata, P. R. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0542-8 · Cited by 559 · cited 1× · see citing works
“Additionally, CDKN1A, p53 and γH2AX are also upregulated in mouse and human lungs upon senescence 168,169 .”
Shah, P. P., Donahue, G., Otte, G. L., Capell, B. C., Nelson, D. M., Cao, K., Aggarwala, V., Cruickshanks, H. A., Rai, T. S., McBryan, T., et al. (2013) · Genes & Development · doi:10.1101/gad.223834.113 · Cited by 550 · cited 1× · see citing works
“Lamin B1 (LMNB1) depletion leads to loss of lamina-associated domains and changes in gene expression 30 .”
Self-citationSynthetic lethal metabolic targeting of cellular senescence in cancer therapy
Dörr, J. R., Yu, Y., Milanovic, M., Beuster, G., Zasada, C., Däbritz, J. H. M., Lisec, J., Lenze, D., Gerhardt, A., Schleicher, K., et al. (2013) · Nature · doi:10.1038/nature12437 · Cited by 541 · cited 1× · see citing works
“Senescent cells are characterized by heightened energy-producing oxidative metabolism surpassing that of proliferating cells, which sustains essential ATP-consuming proteo-stress pathways that are vital for their survival 44–46 .”
Lysosome-mediated processing of chromatin in senescence
Ivanov, A., Pawlikowski, J., Manoharan, I., van Tuyn, J., Nelson, D. M., Rai, T. S., Shah, P. P., Hewitt, G., Korolchuk, V. I., Passos, J. F., et al. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201212110 · Cited by 539 · cited 1× · see citing works
“CCFs are generated by blebbing of chromatin through the nuclear membrane mediated by the compromised integrity of the nuclear lamina 40 , and trigger an interferon response via the cGAS–STING pathway 41 .”
Self-citationLength-independent telomere damage drives post-mitotic cardiomyocyte senescence
Anderson, R., Lagnado, A., Maggiorani, D., Walaszczyk, A., Dookun, E., Chapman, J., Birch, J., Salmonowicz, H., Ogrodnik, M., Jurk, D., et al. (2019) · The EMBO Journal · doi:10.15252/embj.2018100492 · Cited by 532 · cited 1× · see citing works
“Numerous senescence markers have been identified in postmitotic cells such as neurons 99 , cardiomyocytes 60 , osteocytes 93 , adipocytes 270 and others, and their levels in these cells have been observed to increase with age.”
Self-citationChinta, S. J., Woods, G., Demaria, M., Rane, A., Zou, Y., McQuade, A., Rajagopalan, S., Limbad, C., Madden, D. T., Campisi, J., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2017.12.092 · Cited by 530 · cited 2× · see citing works
“…cells have been used to validate the modulation of these markers and corresponding aged or diseased phenotypes 102–104, 109, Senescence profiles of brain ageing are found also in tissues affected by neurodegenerative pathologies such as Alzheimer disease and Parkinson disease 106,107,109–113 .”
Self-citationChoudhery, M. S., Badowski, M., Muise, A., Pierce, J., & Harris, D. T. (2014) · Journal of Translational Medicine · doi:10.1186/1479-5876-12-8 · Cited by 529 · cited 1× · see citing works
“Adipose tissue-derived mesenchymal stem cells from older donors (human and mouse) exhibit senescence properties and impaired regenerative potential 123,124 .”
Takahashi, A., Ohtani, N., Yamakoshi, K., Iida, S.-I., Tahara, H., Nakayama, K., Nakayama, K. I., Ide, T., Saya, H., & Hara, E. (2006) · Nature Cell Biology · doi:10.1038/ncb1491 · Cited by 528 · cited 1× · see citing works
“Senescent cells are characterized also by increased production of reactive oxygen species (ROS), primarily produced by dysfunctional mitochondria 48 .”
Hepatocyte telomere shortening and senescence are general markers of human liver cirrhosis
WIEMANN, S. U., SATYANARAYANA, A., TSAHURIDU, M., TILLMANN, H. L., ZENDER, L., KLEMPNAUER, J., FLEMMING, P., FRANCO, S., BLASCO, M. A., MANNS, M. P., et al. (2002) · The FASEB Journal · doi:10.1096/fj.01-0977com · Cited by 527 · cited 1× · see citing works
“Although less is known about hepatocyte senescence in humans than in mice, senescence-associated markers such as SA-β-gal staining have been identified in human cirrhotic livers 160 .”
The role of cellular senescence in ageing and endocrine disease
Khosla, S., Farr, J. N., Tchkonia, T., & Kirkland, J. L. (2020) · Nature Reviews Endocrinology · doi:10.1038/s41574-020-0335-y · Cited by 523 · cited 1× · see citing works
“We refer the readers to the many Review articles that cover topics such as the links between cellular senescence, metastatic cancer 267 and endocrine diseases 268 , and the current status of the search for senolytics 269 .”
Self-citationLiu, Y., Sanoff, H. K., Cho, H., Burd, C. E., Torrice, C., Ibrahim, J. G., Thomas, N. E., & Sharpless, N. E. (2009) · Aging Cell · doi:10.1111/j.1474-9726.2009.00489.x · Cited by 509 · cited 1× · see citing works
“…that as CDKN2A -expressing peripheral mononuclear blood cells do not appear to survive cryopreservation, quantitative PCR (qPCR) assays that quantify CDKN2A mRNA levels in peripheral T cells have mainly used CD3 + cells isolated from fresh blood to ensure representation of the senescent subset 88 .”
Strategies for targeting senescent cells in human disease
Gasek, N. S., Kuchel, G. A., Kirkland, J. L., & Xu, M. (2021) · Nature Aging · doi:10.1038/s43587-021-00121-8 · Cited by 501 · see citing works
Self-citationBlocking PD-L1–PD-1 improves senescence surveillance and ageing phenotypes
Wang, T., Johmura, Y., Suzuki, N., Omori, S., Migita, T., Yamaguchi, K., Hatakeyama, S., Yamazaki, S., Shimizu, E., Imoto, S., et al. (2022) · Nature · doi:10.1038/s41586-022-05388-4 · Cited by 481 · cited 2× · see citing works
“10,36), PDL2 and MHC class I molecules 37,38 .”
Acceleration of β Cell Aging Determines Diabetes and Senolysis Improves Disease Outcomes
Aguayo-Mazzucato, C., Andle, J., Lee, T. B., Midha, A., Talemal, L., Chipashvili, V., Hollister-Lock, J., van Deursen, J., Weir, G., & Bonner-Weir, S. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.05.006 · Cited by 469 · cited 1× · see citing works
“182).”
Self-citationDe Cecco, M., Criscione, S. W., Peckham, E. J., Hillenmeyer, S., Hamm, E. A., Manivannan, J., Peterson, A. L., Kreiling, J. A., Neretti, N., & Sedivy, J. M. (2013) · Aging Cell · doi:10.1111/acel.12047 · Cited by 459 · cited 2× · see citing works
“Post-translational modifications of histones and DNA methylation changes contribute to a global loss of heterochromatin and to focal gains of heterochromatin during senescence 27,28 , the activation of LINE-1 (ref.”
Self-citationInflammasome-driven catecholamine catabolism in macrophages blunts lipolysis during ageing
Camell, C. D., Sander, J., Spadaro, O., Lee, A., Nguyen, K. Y., Wing, A., Goldberg, E. L., Youm, Y.-H., Brown, C. W., Elsworth, J., et al. (2017) · Nature · doi:10.1038/nature24022 · Cited by 456 · see citing works
Human cell senescence as a DNA damage response
Zglinicki, T. V., Saretzki, G., Ladhoff, J., Fagagna, F. D. D., & Jackson, S. P. (2005) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2004.09.034 · Cited by 419 · cited 1× · see citing works
“Phosphorylation of Ser139 of histone H2AX (known as γH2AX) at sites of DNA damage facilitates the assembly of foci of checkpoint factors and DNA repair factors, including TP53BP1, MDC1, NBS1 and phosphorylated SMC1; phosphorylation of RAD17 can also be observed in senescent fibroblasts 52 .”
Monitoring Tumorigenesis and Senescence In Vivo with a p16INK4a-Luciferase Model
Burd, C. E., Sorrentino, J. A., Clark, K. S., Darr, D. B., Krishnamurthy, J., Deal, A. M., Bardeesy, N., Castrillon, D. H., Beach, D. H., & Sharpless, N. E. (2013) · Cell · doi:10.1016/j.cell.2012.12.010 · Cited by 419 · cited 1× · see citing works
“Mouse models of melanoma and human nevi (both oncogene driven) show accumulation of SA-β-gal + –CDKN2A + foci 224,225 .”
Takasugi, M., Okada, R., Takahashi, A., Virya Chen, D., Watanabe, S., & Hara, E. (2017) · Nature Communications · doi:10.1038/ncomms15728 · Cited by 410 · see citing works
p21CIP1 and p57KIP2 control muscle differentiation at the myogenin stepPreprint
Zhang, P., Wong, C., Liu, D., Finegold, M. J., Harper, J. W., & Elledge, S. J. (1999) · Genes & Development · doi:10.1101/gad.13.2.213 · Cited by 409 · see citing works
Hall, B. M., Balan, V., Gleiberman, A. S., Strom, E., Krasnov, P., Virtuoso, L. P., Rydkina, E., Vujcic, S., Balan, K., Gitlin, I. I., et al. (2017) · Aging · doi:10.18632/aging.101268 · Cited by 407 · cited 2× · see citing works
“For example, polarization of macrophages towards M2 phenotypes results in the expression of CDKN2A (also known as p16 INK4A ) and senescence-associated β-galactosidase (SA-β-gal) 78 , two of the most commonly used senescence markers.”
Ogrodnik, M., Evans, S. A., Fielder, E., Victorelli, S., Kruger, P., Salmonowicz, H., Weigand, B. M., Patel, A. D., Pirtskhalava, T., Inman, C. L., et al. (2021) · Aging Cell · doi:10.1111/acel.13296 · Cited by 405 · cited 4× · see citing works
“…pharmacologic clearance of senescent cells have been used to validate the modulation of these markers and corresponding aged or diseased phenotypes 102–104, 109, Senescence profiles of brain ageing are found also in tissues affected by neurodegenerative pathologies such as Alzheimer disease and…”
InfluentialSelf-citationThe senescence-associated secretome as an indicator of age and medical risk
Schafer, M. J., Zhang, X., Kumar, A., Atkinson, E. J., Zhu, Y., Jachim, S., Mazula, D. L., Brown, A. K., Berning, M., Aversa, Z., et al. (2020) · JCI Insight · doi:10.1172/jci.insight.133668 · Cited by 401 · cited 3× · see citing works
“Despite high variability (for example, the SASP of intrinsically aged human fibroblasts in vivo includes 27 distinct proteins 212 ), there is an association between GDF15, TNF, SPP1, TNFRSF1A, FAS, CCL3, IL-15 and activin A expression and age-related disease outcomes 214 .”
Self-citationReproductive age-associated fibrosis in the stroma of the mammalian ovary
Briley, S. M., Jasti, S., McCracken, J. M., Hornick, J. E., Fegley, B., Pritchard, M. T., & Duncan, F. E. (2016) · Reproduction · doi:10.1530/rep-16-0129 · Cited by 373 · cited 1× · see citing works
“Additionally, the ovary exhibits age-dependent inflammation and fibrosis 234–237 ; however, whether these are associated with senescence has not been conclusively established.”
Self-citationMelk, A., Schmidt, B. M. W., Takeuchi, O., Sawitzki, B., Rayner, D. C., & Halloran, P. F. (2004) · Kidney International · doi:10.1111/j.1523-1755.2004.00438.x · Cited by 362 · cited 4× · see citing works
“CDKN2A expression increases in renal arterial vascular smooth myocytes 145,151 .”
InfluentialTranscriptome signature of cellular senescence
Casella, G., Munk, R., Kim, K. M., Piao, Y., De, S., Abdelmohsen, K., & Gorospe, M. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz555 · Cited by 359 · see citing works
Cellular Senescence Is Immunogenic and Promotes Antitumor Immunity
Marín, I., Boix, O., García-Garijo, A., Sirois, I., Caballé, A., Zarzuela, E., Ruano, I., Attolini, C. S., Prats, N., Lopez-Dominguez, J. A., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0523 · Cited by 358 · cited 1× · see citing works
“10,36), PDL2 and MHC class I molecules 37,38 .”
Senescent cells harbour features of the cancer epigenome
Cruickshanks, H. A., McBryan, T., Nelson, D. M., VanderKraats, N. D., Shah, P. P., van Tuyn, J., Singh Rai, T., Brock, C., Donahue, G., Dunican, D. S., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2879 · Cited by 358 · cited 1× · see citing works
“Post-translational modifications of histones and DNA methylation changes contribute to a global loss of heterochromatin and to focal gains of heterochromatin during senescence 27,28 , the activation of LINE-1 (ref.”
Self-citationTargeted Elimination of Senescent Beta Cells Prevents Type 1 Diabetes
Thompson, P. J., Shah, A., Ntranos, V., Van Gool, F., Atkinson, M., & Bhushan, A. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.01.021 · Cited by 353 · cited 1× · see citing works
“Several of these factors were also found in human pancreatic islets from donors with type 1 diabetes 184 .”
CD38 ecto-enzyme in immune cells is induced during aging and regulates NAD+ and NMN levels
Chini, C. C. S., Peclat, T. R., Warner, G. M., Kashyap, S., Espindola-Netto, J. M., de Oliveira, G. C., Gomez, L. S., Hogan, K. A., Tarragó, M. G., Puranik, A. S., et al. (2020) · Nature Metabolism · doi:10.1038/s42255-020-00298-z · Cited by 349 · cited 1× · see citing works
“Upon ageing and obesity, SASP factors from the senescent cells upregulate CD38 in adipose immune cells, thereby decreasing NAD + levels, which results in increased metabolic dysfunction and a decline in over-all fitness 127 .”
Self-citationTissue specificity of senescent cell accumulation during physiologic and accelerated aging of mice
Yousefzadeh, M. J., Zhao, J., Bukata, C., Wade, E. A., McGowan, S. J., Angelini, L. A., Bank, M. P., Gurkar, A. U., McGuckian, C. A., Calubag, M. F., et al. (2020) · Aging Cell · doi:10.1111/acel.13094 · Cited by 331 · cited 1× · see citing works
“85,86).”
Self-citationHepatocyte senescence predicts progression in non-alcohol-related fatty liver disease
Aravinthan, A., Scarpini, C., Tachtatzis, P., Verma, S., Penrhyn-Lowe, S., Harvey, R., Davies, S. E., Allison, M., Coleman, N., & Alexander, G. (2013) · Journal of Hepatology · doi:10.1016/j.jhep.2012.10.031 · Cited by 326 · cited 1× · see citing works
“expression of CDKN1A , CDKN2A and the presence of TAF has been found in the context of non-alcoholic fatty liver disease 159,161 , and TAF have been reported in livers from individuals with alcoholic liver disease 162 .”
Aged-senescent cells contribute to impaired heart regeneration
Lewis‐McDougall, F. C., Ruchaya, P. J., Domenjo‐Vila, E., Shin Teoh, T., Prata, L., Cottle, B. J., Clark, J. E., Punjabi, P. P., Awad, W., Torella, D., et al. (2019) · Aging Cell · doi:10.1111/acel.12931 · Cited by 317 · cited 1× · see citing works
“…cells defined as KIT + PECAM1 − PTPRC − (also known as c-kit + CD31 − CD45 − ) showed increased levels of CDKN2A, SA-β-gal activity, γH2AX foci, reduced BrdU incorporation into DNA (S phase marker; reduced incorporation indicates cell cycle arrest) and induction of the SASP during ageing 62 .”
Borghesan, M., Fafián-Labora, J., Eleftheriadou, O., Carpintero-Fernández, P., Paez-Ribes, M., Vizcay-Barrena, G., Swisa, A., Kolodkin-Gal, D., Ximénez-Embún, P., Lowe, R., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.05.095 · Cited by 315 · cited 1× · see citing works
“Other potential sources of circulating biomarkers remain to be explored in detail in vivo, including senescence-associated extracellular vesicles (another bioactive component of the SASP 290 ) and senescent circulating lymphocytes 86,290–294 .”
Chandra, T., Kirschner, K., Thuret, J.-Y., Pope, B. D., Ryba, T., Newman, S., Ahmed, K., Samarajiwa, S. A., Salama, R., Carroll, T., et al. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.06.010 · Cited by 308 · cited 1× · see citing works
“31).”
Coppé, J.-P., Patil, C. K., Rodier, F., Sun, Y., Muñoz, D. P., Goldstein, J., Nelson, P. S., Desprez, P.-Y., & Campisi, J. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060301 · Cited by 302 · cited 17× · see citing works
“The majority of proposed circulating biomarkers were initially SASP factors reported in cell culture 211,280–283 and subsequently introduced into in vivo senescence signatures in conditions associated with increased burden of senescent cells, such as ageing, age-related diseases and associated…”
InfluentialAccelerated senescence in the kidneys of patients with type 2 diabetic nephropathy
Verzola, D., Gandolfo, M. T., Gaetani, G., Ferraris, A., Mangerini, R., Ferrario, F., Villaggio, B., Gianiorio, F., Tosetti, F., Weiss, U., et al. (2008) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.90302.2008 · Cited by 302 · cited 2× · see citing works
“Most human renal nephropathies are associated with accelerated cellular senescence 142,145,147,149,154,155 , with CDKN2A being most overexpressed in TECs.”
Hu, Y., Fryatt, G. L., Ghorbani, M., Obst, J., Menassa, D. A., Martin-Estebane, M., Muntslag, T. A. O., Olmos-Alonso, A., Guerrero-Carrasco, M., Thomas, D., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109228 · Cited by 298 · see citing works
Amargant, F., Manuel, S. L., Tu, Q., Parkes, W. S., Rivas, F., Zhou, L. T., Rowley, J. E., Villanueva, C. E., Hornick, J. E., Shekhawat, G. S., et al. (2020) · Aging Cell · doi:10.1111/acel.13259 · Cited by 280 · see citing works
Self-citationWnt9a Promotes Renal Fibrosis by Accelerating Cellular Senescence in Tubular Epithelial Cells
Luo, C., Zhou, S., Zhou, Z., Liu, Y., Yang, L., Liu, J., Zhang, Y., Li, H., Liu, Y., Hou, F. F., et al. (2018) · Journal of the American Society of Nephrology · doi:10.1681/asn.2017050574 · Cited by 277 · cited 2× · see citing works
“Most human renal nephropathies are associated with accelerated cellular senescence 142,145,147,149,154,155 , with CDKN2A being most overexpressed in TECs.”
Drivers of age‐related inflammation and strategies for healthspan extension
Goldberg, E. L., & Dixit, V. D. (2015) · Immunological Reviews · doi:10.1111/imr.12295 · Cited by 274 · cited 1× · see citing works
“75–78).”
Obesity accelerates T cell senescence in murine visceral adipose tissue
Shirakawa, K., Yan, X., Shinmura, K., Endo, J., Kataoka, M., Katsumata, Y., Yamamoto, T., Anzai, A., Isobe, S., Yoshida, N., et al. (2016) · Journal of Clinical Investigation · doi:10.1172/jci88606 · Cited by 271 · cited 2× · see citing works
“TNSF8 + PDCD1 + CD44 hi CD4 + (CD153 + PDCD + CD44 hi CD4 + ) T cells accumulate in adipose tissue in obesity and show senescence features, including increased expression of SPP1, CDKN2A and CDKN1A and decreased expression of SATB1, DUSP10 and EEF1A1 128 .”
Chen, H.-Z., Wang, F., Gao, P., Pei, J.-F., Liu, Y., Xu, T.-T., Tang, X., Fu, W.-Y., Lu, J., Yan, Y.-F., et al. (2016) · Circulation Research · doi:10.1161/circresaha.116.308895 · Cited by 265 · cited 1× · see citing works
“Senescence-associated markers, including CDKN1A, p53, total γH2AX and γH2AX associated with telomeres (TAF), and SASP factors have also been observed in both human and mouse models of thoracic aortic aneurysm and abdominal aortic aneurysm 69,70 .”
Human CD 8 + EMRA T cells display a senescence‐associated secretory phenotype regulated by p38 MAPK
Callender, L. A., Carroll, E. C., Beal, R. W. J., Chambers, E. S., Nourshargh, S., Akbar, A. N., & Henson, S. M. (2017) · Aging Cell · doi:10.1111/acel.12675 · Cited by 265 · cited 4× · see citing works
“Transcription and translation measurements using bulk peripheral mononuclear blood cells have identified various cell cycle regulators, including CDKN2A, p53, CDKN1A, CDKN1B and p38 MAPK, and changes in some of these markers were linked to ageing and/or various chronic diseases 82,83 .”
InfluentialCell fusion induced by ERVWE1 or measles virus causes cellular senescence
Chuprin, A., Gal, H., Biron-Shental, T., Biran, A., Amiel, A., Rozenblatt, S., & Krizhanovsky, V. (2013) · Genes & Development · doi:10.1101/gad.227512.113 · Cited by 262 · cited 1× · see citing works
“…of senescence, including loss of replicative potential, increased expression of cell cycle inhibitors (notably CDKN1A, CDKN1C, p53 and MAPK14) 247–252 , increased SA-β-gal activity and lipofuscin pigmentation 247–249 , SAHF formation 248 , TAF and SASP factors such as IL-6, IL-1β, MMP9, HMGB1,…”
Senescent human melanocytes drive skin ageing via paracrine telomere dysfunction
Victorelli, S., Lagnado, A., Halim, J., Moore, W., Talbot, D., Barrett, K., Chapman, J., Birch, J., Ogrodnik, M., Meves, A., et al. (2019) · The EMBO Journal · doi:10.15252/embj.2019101982 · Cited by 258 · cited 1× · see citing works
“213).”
Self-citationCharacterization of novel markers of senescence and their prognostic potential in cancer
Althubiti, M., Lezina, L., Carrera, S., Jukes-Jones, R., Giblett, S. M., Antonov, A., Barlev, N., Saldanha, G. S., Pritchard, C. A., Cain, K., et al. (2014) · Cell Death & Disease · doi:10.1038/cddis.2014.489 · Cited by 256 · cited 1× · see citing works
“Several proteins have been investigated as potential markers for identifying senescent cells both in cell culture and in tissues using an inducible CDKN2A or CDKN1A expression system (DEP1, NTAL, EBP50, STX4, VAMP3, ARMCX3, B2MG, LANCL1, PLD3 and VPS26A) 34 .”
Swanson, E. C., Manning, B., Zhang, H., & Lawrence, J. B. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201306073 · Cited by 251 · cited 5× · see citing works
“During normal ageing, mouse cardiomyocytes accumulate the following senescence-associated markers: TAF, cyclin-dependent kinase inhibitors (CDKN1a, CDKN2B (also known as p15 INK4b ) and CDKN2a), SA-β-gal activity, SADS and a pro-fibrotic SASP 60 .”
InfluentialWalaszczyk, A., Dookun, E., Redgrave, R., Tual‐Chalot, S., Victorelli, S., Spyridopoulos, I., Owens, A., Arthur, H. M., Passos, J. F., & Richardson, G. D. (2019) · Aging Cell · doi:10.1111/acel.12945 · Cited by 250 · cited 1× · see citing works
“Myocardial infarction in mice was associated with increased expression of senescence-associated markers such as CDKN2A and CDKN1A, SA-β-gal activity, TAF and increased expression of SASP components in mouse cardiomyocytes 67 and cardiac fibroblasts 68 .”
Self-citationEvaluation of inflammation and follicle depletion during ovarian ageing in mice
Lliberos, C., Liew, S. H., Zareie, P., La Gruta, N. L., Mansell, A., & Hutt, K. (2021) · Scientific Reports · doi:10.1038/s41598-020-79488-4 · Cited by 247 · see citing works
Jiang, C., Liu, G., Luckhardt, T., Antony, V., Zhou, Y., Carter, A. B., Thannickal, V. J., & Liu, R. (2017) · Aging Cell · doi:10.1111/acel.12643 · Cited by 234 · cited 1× · see citing works
“Moreover, SERPINE1 was shown to induce mouse alveolar type 2 (ATII) cellular senescence through activation of the p53–CDKN1A–RB1 pathway in fibrotic lung disease 170 .”
Wiley, C. D., Flynn, J. M., Morrissey, C., Lebofsky, R., Shuga, J., Dong, X., Unger, M. A., Vijg, J., Melov, S., & Campisi, J. (2017) · Aging Cell · doi:10.1111/acel.12632 · Cited by 234 · see citing works
Self-citationGaikwad, S., Puangmalai, N., Bittar, A., Montalbano, M., Garcia, S., McAllen, S., Bhatt, N., Sonawane, M., Sengupta, U., & Kayed, R. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109419 · Cited by 234 · cited 1× · see citing works
“…cells have been used to validate the modulation of these markers and corresponding aged or diseased phenotypes 102–104, 109, Senescence profiles of brain ageing are found also in tissues affected by neurodegenerative pathologies such as Alzheimer disease and Parkinson disease 106,107,109–113 .”
Ong, S.-M., Hadadi, E., Dang, T.-M., Yeap, W.-H., Tan, C. T.-Y., Ng, T.-P., Larbi, A., & Wong, S.-C. (2018) · Cell Death & Disease · doi:10.1038/s41419-018-0327-1 · Cited by 233 · see citing works
Nuclear morphology is a deep learning biomarker of cellular senescence
Heckenbach, I., Mkrtchyan, G. V., Ezra, M. B., Bakula, D., Madsen, J. S., Nielsen, M. H., Oró, D., Osborne, B., Covarrubias, A. J., Idda, M. L., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00263-3 · Cited by 232 · cited 2× · see citing works
“It is not yet clear how these methods will perform in detecting senescent cells in different tissues, although encouraging results indicate they are applicable in tissues 279 .”
InfluentialSenescence Rewires Microenvironment Sensing to Facilitate Antitumor Immunity
Chen, H.-A., Ho, Y.-J., Mezzadra, R., Adrover, J. M., Smolkin, R. M., Zhu, C., Woess, K., Bernstein, N., Schmitt, G., Fong, L. E., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0528 · Cited by 230 · see citing works
Reproductive senescence: new perspectives in the wild
Lemaître, J., & Gaillard, J. (2017) · Biological Reviews · doi:10.1111/brv.12328 · Cited by 225 · cited 1× · see citing works
“This ageing process is characterized by a reduction in both quantity and quality of gametes, leading to reproductive senescence 232,233 .”
Waldera Lupa, D. M., Kalfalah, F., Safferling, K., Boukamp, P., Poschmann, G., Volpi, E., Götz-Rösch, C., Bernerd, F., Haag, L., Huebenthal, U., et al. (2015) · Journal of Investigative Dermatology · doi:10.1038/jid.2015.120 · Cited by 224 · cited 2× · see citing works
“Despite high variability (for example, the SASP of intrinsically aged human fibroblasts in vivo includes 27 distinct proteins 212 ), there is an association between GDF15, TNF, SPP1, TNFRSF1A, FAS, CCL3, IL-15 and activin A expression and age-related disease outcomes 214 .”
Iron accumulation drives fibrosis, senescence and the senescence-associated secretory phenotype
Maus, M., López-Polo, V., Mateo, L., Lafarga, M., Aguilera, M., De Lama, E., Meyer, K., Sola, A., Lopez-Martinez, C., López-Alonso, I., et al. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00928-2 · Cited by 215 · cited 4× · see citing works
“By contrast, recent studies provide evidence for the accumulation of iron in the senescent fibrotic tissues from both mouse and human, thereby emphasizing the role of cellular metabolism in senescence 156 .”
InfluentialPlasma proteomic biomarker signature of age predicts health and life span
Tanaka, T., Basisty, N., Fantoni, G., Candia, J., Moore, A. Z., Biancotto, A., Schilling, B., Bandinelli, S., & Ferrucci, L. (2020) · eLife · doi:10.7554/elife.61073 · Cited by 213 · cited 2× · see citing works
“Notably, the proteins GDF15, CST3, IGFBP2, TIMP1, TIMP2, STC1, CCL1, INHBA and others robustly associate with ageing-related problems in multiple studies 214,284–287 .”
Self-citationMartínez‐Zamudio, R. I., Dewald, H. K., Vasilopoulos, T., Gittens‐Williams, L., Fitzgerald‐Bocarsly, P., & Herbig, U. (2021) · Aging Cell · doi:10.1111/acel.13344 · Cited by 213 · cited 2× · see citing works
“This phenotype may involve elements of cellular senescence, particularly in T cells 74 , although different mechanisms may operate in specialized postmitotic immune cells.”
Small Extracellular Vesicles Have GST Activity and Ameliorate Senescence-Related Tissue Damage
Fafián-Labora, J. A., Rodríguez-Navarro, J. A., & O’Loghlen, A. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.06.004 · Cited by 203 · see citing works
Kiss, T., Nyúl-Tóth, Á., Balasubramanian, P., Tarantini, S., Ahire, C., DelFavero, J., Yabluchanskiy, A., Csipo, T., Farkas, E., Wiley, G., et al. (2020) · GeroScience · doi:10.1007/s11357-020-00177-1 · Cited by 203 · see citing works
The Cancer SENESCopedia: A delineation of cancer cell senescence
Jochems, F., Thijssen, B., De Conti, G., Jansen, R., Pogacar, Z., Groot, K., Wang, L., Schepers, A., Wang, C., Jin, H., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109441 · Cited by 201 · cited 1× · see citing works
“These signatures are constructed based on either a curated selection of genes from the existing literature or are empirically derived from the analysis of reference datasets 272–275 .”
Self-citationSenescent Cardiac Fibroblast Is Critical for Cardiac Fibrosis after Myocardial Infarction
Zhu, F., Li, Y., Zhang, J., Piao, C., Liu, T., Li, H.-H., & Du, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074535 · Cited by 201 · cited 1× · see citing works
“Myocardial infarction in mice was associated with increased expression of senescence-associated markers such as CDKN2A and CDKN1A, SA-β-gal activity, TAF and increased expression of SASP components in mouse cardiomyocytes 67 and cardiac fibroblasts 68 .”
Induction of the Photoaging-Associated Mitochondrial Common Deletion In Vivo in Normal Human Skin
Berneburg, M., Plettenberg, H., Medve-König, K., Pfahlberg, A., Gers-Barlag, H., Gefeller, O., & Krutmann, J. (2004) · Journal of Investigative Dermatology · doi:10.1111/j.0022-202x.2004.22502.x · Cited by 193 · see citing works
Histone variant H2A.J accumulates in senescent cells and promotes inflammatory gene expression
Contrepois, K., Coudereau, C., Benayoun, B. A., Schuler, N., Roux, P.-F., Bischof, O., Courbeyrette, R., Carvalho, C., Thuret, J.-Y., Ma, Z., et al. (2017) · Nature Communications · doi:10.1038/ncomms14995 · Cited by 191 · cited 1× · see citing works
“Senescence in the skin is identified by expression of SA-β-gal, α-fucosidase, CDKN2A, CDKN1A and lipofuscin in both the epidermis and the dermis 207,208 , and of the histone variant H2AJ and γH2AX in human epidermis, especially in the stratum spinosum 209 .”
Senescent immune cells release grancalcin to promote skeletal aging
Li, C.-J., Xiao, Y., Sun, Y.-C., He, W.-Z., Liu, L., Huang, M., He, C., Huang, M., Chen, K.-X., Hou, J., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.08.009 · Cited by 190 · see citing works
Connecting aging biology and inflammation in the omics era
Walker, K. A., Basisty, N., Wilson, D. M., & Ferrucci, L. (2022) · Journal of Clinical Investigation · doi:10.1172/jci158448 · Cited by 189 · cited 1× · see citing works
“Other potential sources of circulating biomarkers remain to be explored in detail in vivo, including senescence-associated extracellular vesicles (another bioactive component of the SASP 290 ) and senescent circulating lymphocytes 86,290–294 .”
Self-citationTelomere Shortening in Kidneys with Age
MELK, A., RAMASSAR, V., HELMS, L. M. H., MOORE, R., RAYNER, D., SOLEZ, K., & HALLORAN, P. F. (2000) · Journal of the American Society of Nephrology · doi:10.1681/asn.v113444 · Cited by 189 · see citing works
Aging-Associated Alterations in Mammary Epithelia and Stroma Revealed by Single-Cell RNA Sequencing
Li, C. M.-C., Shapiro, H., Tsiobikas, C., Selfors, L. M., Chen, H., Rosenbluth, J., Moore, K., Gupta, K. P., Gray, G. K., Oren, Y., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108566 · Cited by 184 · cited 1× · see citing works
“231), are also elevated in mammary glands of aged mice.”
Matias, I., Diniz, L. P., Damico, I. V., Araujo, A. P. B., Neves, L. D. S., Vargas, G., Leite, R. E. P., Suemoto, C. K., Nitrini, R., Jacob‐Filho, W., et al. (2022) · Aging Cell · doi:10.1111/acel.13521 · Cited by 183 · cited 2× · see citing works
“…oligodendrocyte lineage cells and endothelial cells, exhibit overexpression of combinations of senescence-related cell cycle regulators ( CDKN2A , TP53 and CDKN1A ) and SASP factors ( CCL2 , IL1A , IL1B , IL6 , MMP1 , MMP3 , SERPINE1 , SPP1 and TNF ) in the context of ageing and disease 99–105 .”
Reyes, N. S., Krasilnikov, M., Allen, N. C., Lee, J. Y., Hyams, B., Zhou, M., Ravishankar, S., Cassandras, M., Wang, C., Khan, I., et al. (2022) · Science · doi:10.1126/science.abf3326 · Cited by 181 · see citing works
Self-citationThe role of cellular senescence in ageing of the placenta
Cox, L. S., & Redman, C. (2017) · Placenta · doi:10.1016/j.placenta.2017.01.116 · Cited by 181 · see citing works
Moore, A. G., Brown, D. A., Fairlie, W. D., Bauskin, A. R., Brown, P. K., Munier, M. L. C., Russell, P. K., Salamonsen, L. A., Wallace, E. M., & Breit, S. N. (2000) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.85.12.7007 · Cited by 181 · cited 1× · see citing works
“…cell cycle inhibitors (notably CDKN1A, CDKN1C, p53 and MAPK14) 247–252 , increased SA-β-gal activity and lipofuscin pigmentation 247–249 , SAHF formation 248 , TAF and SASP factors such as IL-6, IL-1β, MMP9, HMGB1, GDF15 and TNF 247,253 that mediate immune surveillance and tissue remodelling 247 .”
Jin, W.-N., Shi, K., He, W., Sun, J.-H., Van Kaer, L., Shi, F.-D., & Liu, Q. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00745-w · Cited by 179 · see citing works
Obesity and hyperinsulinemia drive adipocytes to activate a cell cycle program and senesce
Li, Q., Hagberg, C. E., Silva Cascales, H., Lang, S., Hyvönen, M. T., Salehzadeh, F., Chen, P., Alexandersson, I., Terezaki, E., Harms, M. J., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01501-8 · Cited by 178 · cited 1× · see citing works
“126).”
Regulation of E2Fs and senescence by PML nuclear bodies
Vernier, M., Bourdeau, V., Gaumont-Leclerc, M.-F., Moiseeva, O., Bégin, V., Saad, F., Mes-Masson, A.-M., & Ferbeyre, G. (2011) · Genes & Development · doi:10.1101/gad.1975111 · Cited by 177 · cited 1× · see citing works
“PML nuclear bodies have been reported to mediate senescence through the regulation of E2F factors 32 .”
Functional T cells are capable of supernumerary cell division and longevity
Soerens, A. G., Künzli, M., Quarnstrom, C. F., Scott, M. C., Swanson, L., Locquiao, J., Ghoneim, H. E., Zehn, D., Youngblood, B., Vezys, V., et al. (2023) · Nature · doi:10.1038/s41586-022-05626-9 · Cited by 177 · cited 1× · see citing works
“By contrast, vaccine-activated mouse CD8A + T cells that are transferred to new mice can retain functionality and proliferation capacity beyond the lifespan of the original mouse, suggesting that determinants of senescence did not transfer with the T cell and may derive from the new host 87 .”
Lessard, F., Igelmann, S., Trahan, C., Huot, G., Saint-Germain, E., Mignacca, L., Del Toro, N., Lopes-Paciencia, S., Le Calvé, B., Montero, M., et al. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0127-y · Cited by 174 · see citing works
Oxylipin biosynthesis reinforces cellular senescence and allows detection of senolysis
Wiley, C. D., Sharma, R., Davis, S. S., Lopez-Dominguez, J. A., Mitchell, K. P., Wiley, S., Alimirah, F., Kim, D. E., Payne, T., Rosko, A., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.03.008 · Cited by 173 · cited 1× · see citing works
“288,289).”
Self-citationNFκB1 is a suppressor of neutrophil-driven hepatocellular carcinoma
Wilson, C. L., Jurk, D., Fullard, N., Banks, P., Page, A., Luli, S., Elsharkawy, A. M., Gieling, R. G., Chakraborty, J. B., Fox, C., et al. (2015) · Nature Communications · doi:10.1038/ncomms7818 · Cited by 171 · cited 1× · see citing works
“expression of CDKN1A , CDKN2A and the presence of TAF has been found in the context of non-alcoholic fatty liver disease 159,161 , and TAF have been reported in livers from individuals with alcoholic liver disease 162 .”
Self-citationSenescence in Post-Mitotic Cells: A Driver of Aging?
von Zglinicki, T., Wan, T., & Miwa, S. (2021) · Antioxidants & Redox Signaling · doi:10.1089/ars.2020.8048 · Cited by 170 · cited 1× · see citing works
“…the consistent evidence of age-dependent increases in cell cycle inhibitors (for example, CDKN1A and CDKN2A), DNA damage foci, senescence-associated secretory phenotype (SASP) factors and other senescence markers in postmitotic cells 271 , postmitotic cells should be considered as senescent cells.”
Profiling senescent cells in human brains reveals neurons with CDKN2D/p19 and tau neuropathology
Dehkordi, S. K., Walker, J., Sah, E., Bennett, E., Atrian, F., Frost, B., Woost, B., Bennett, R. E., Orr, T. C., Zhou, Y., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00142-3 · Cited by 169 · cited 7× · see citing works
“Two of the signatures most widely used by the National Institutes of Health (NIH) Cellular Senescence Network (SenNet) are SenMayo 84 and SenSig 114 .”
InfluentialCellular senescence induced by CD158d reprograms natural killer cells to promote vascular remodeling
Rajagopalan, S., & Long, E. O. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208248109 · Cited by 168 · cited 1× · see citing works
“…a physiological phenomenon that progresses with gestation and peaks at term, senescence is also extensively described in maternal decidual cells and fetoplacental membranes, where it has a pivotal role in the promotion of parturition and detachment of the placenta from the uterus at term 257–262 .”
Sanders, Y. Y., Hagood, J. S., Liu, H., Zhang, W., Ambalavanan, N., & Thannickal, V. J. (2014) · European Respiratory Journal · doi:10.1183/09031936.00095113 · Cited by 167 · cited 1× · see citing works
“Another reported hallmark of senescent fibroblasts, in idiopathic pulmonary fibrosis, is the enhanced expression of anti-apoptotic BCL2 family proteins such as BCL2L2, BCL2 and BCL2L1 along with reduced levels of the pro-apoptotic proteins BAK1 and BAX 180,181 .”
Targeting p21Cip1 highly expressing cells in adipose tissue alleviates insulin resistance in obesity
Wang, L., Wang, B., Gasek, N. S., Zhou, Y., Cohn, R. L., Martin, D. E., Zuo, W., Flynn, W. F., Guo, C., Jellison, E. R., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2021.11.002 · Cited by 163 · see citing works
Self-citationSis, B., Tasanarong, A., Khoshjou, F., Dadras, F., Solez, K., & Halloran, P. F. (2007) · Kidney International · doi:10.1038/sj.ki.5002039 · Cited by 159 · cited 4× · see citing works
“CDKN2A expression increases in renal arterial vascular smooth myocytes 145,151 .”
InfluentialPrattichizzo, F., De Nigris, V., Mancuso, E., Spiga, R., Giuliani, A., Matacchione, G., Lazzarini, R., Marcheselli, F., Recchioni, R., Testa, R., et al. (2018) · Redox Biology · doi:10.1016/j.redox.2017.12.001 · Cited by 159 · cited 2× · see citing works
“Most human renal nephropathies are associated with accelerated cellular senescence 142,145,147,149,154,155 , with CDKN2A being most overexpressed in TECs.”
Oncogene-induced senescence results in marked metabolic and bioenergetic alterations
Quijano, C., Cao, L., Fergusson, M. M., Romero, H., Liu, J., Gutkind, S., Rovira, I. I., Mohney, R. P., Karoly, E. D., & Finkel, T. (2012) · Cell Cycle · doi:10.4161/cc.19800 · Cited by 155 · cited 1× · see citing works
“Senescent cells are characterized by heightened energy-producing oxidative metabolism surpassing that of proliferating cells, which sustains essential ATP-consuming proteo-stress pathways that are vital for their survival 44–46 .”
Kitada, K., Nakano, D., Ohsaki, H., Hitomi, H., Minamino, T., Yatabe, J., Felder, R. A., Mori, H., Masaki, T., Kobori, H., et al. (2014) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2014.05.010 · Cited by 151 · see citing works
Senescent cell turnover slows with age providing an explanation for the Gompertz law
Karin, O., Agrawal, A., Porat, Z., Krizhanovsky, V., & Alon, U. (2019) · Nature Communications · doi:10.1038/s41467-019-13192-4 · Cited by 151 · see citing works
Zhang, Z., Schlamp, F., Huang, L., Clark, H., & Brayboy, L. (2020) · Reproduction · doi:10.1530/rep-19-0330 · Cited by 150 · cited 1× · see citing works
“Additionally, the ovary exhibits age-dependent inflammation and fibrosis 234–237 ; however, whether these are associated with senescence has not been conclusively established.”
Chen, H., Chen, H., Liang, J., Gu, X., Zhou, J., Xie, C., Lv, X., Wang, R., Li, Q., Mao, Z., et al. (2020) · Experimental & Molecular Medicine · doi:10.1038/s12276-019-0371-7 · Cited by 149 · cited 1× · see citing works
“TGFβ1 has been implicated in mediating cellular senescence in the lung, as TGFβ1–IL-11–MEK–ERK signalling mediates senescence-associated pulmonary fibrosis in mice 171 .”
Notch Signaling Mediates Secondary Senescence
Teo, Y. V., Rattanavirotkul, N., Olova, N., Salzano, A., Quintanilla, A., Tarrats, N., Kiourtis, C., Müller, M., Green, A. R., Adams, P. D., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.03.104 · Cited by 149 · cited 1× · see citing works
“Two mechanisms of transmission have been described: paracrine senescence is mediated by the SASP 24 , whereas juxtracrine senescence, involving direct cell to cell contact, is mediated by NOTCH1–JAG1 signalling 25,26 .”
Self-citationWang, B., Wang, L., Gasek, N. S., Zhou, Y., Kim, T., Guo, C., Jellison, E. R., Haynes, L., Yadav, S., Tchkonia, T., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00107-6 · Cited by 145 · cited 1× · see citing works
“Importantly, Cdkn1a high and Cdkn2a high cells exist as two distinct cell populations 122,125 , indicating the heterogeneity and complexity of senescent cell populations in adipose tissue.”
Self-citationAnti-senescent drug screening by deep learning-based morphology senescence scoring
Kusumoto, D., Seki, T., Sawada, H., Kunitomi, A., Katsuki, T., Kimura, M., Ito, S., Komuro, J., Hashimoto, H., Fukuda, K., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20213-0 · Cited by 143 · cited 2× · see citing works
“…neural networks trained and tested on phase-contrast images at single-cell resolution achieved a multiclass classification accuracy of 0.93 when distinguishing between hydrogen peroxide-induced, camptothecin-induced or repetitive passage-induced senescence and their respective controls 278 .”
InfluentialPlacental membrane aging and HMGB1 signaling associated with human parturition
Menon, R., Behnia, F., Polettini, J., Saade, G. R., Campisi, J., & Velarde, M. (2016) · Aging · doi:10.18632/aging.100891 · Cited by 143 · see citing works
Self-citationMoon, J. S., Goeminne, L. J. E., Kim, J. T., Tian, J. W., Kim, S., Nga, H. T., Kang, S. G., Kang, B. E., Byun, J., Lee, Y., et al. (2020) · Aging Cell · doi:10.1111/acel.13195 · Cited by 141 · see citing works
Self-citationTelomere Shortening Reduces Regenerative Capacity after Acute Kidney Injury
Westhoff, J. H., Schildhorn, C., Jacobi, C., Hömme, M., Hartner, A., Braun, H., Kryzer, C., Wang, C., von Zglinicki, T., Kränzlin, B., et al. (2010) · Journal of the American Society of Nephrology · doi:10.1681/asn.2009010072 · Cited by 139 · cited 1× · see citing works
“Senescent cells are also observed in kidneys of mouse models of acute kidney injury, diabetic nephropathy, glomerulonephropathy, chronic kidney disease and chronic ischaemic renal injury 140,144–150 .”
Spatial mapping of cellular senescence: emerging challenges and opportunities
Gurkar, A. U., Gerencser, A. A., Mora, A. L., Nelson, A. C., Zhang, A. R., Lagnado, A. B., Enninful, A., Benz, C., Furman, D., Beaulieu, D., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00446-6 · Cited by 139 · cited 2× · see citing works
“Recommendations for techniques to identify and characterize senescent cells A comprehensive description of the techniques available to study senescent cells in tissues is beyond the scope of this Expert Recommendation and we refer the readers to a recent Review authored by the National Institutes of Health (NIH) Cellu…”
Self-citationGuo, Y., Ayers, J. L., Carter, K. T., Wang, T., Maden, S. K., Edmond, D., Newcomb P, P., Li, C., Ulrich, C., Yu, M., et al. (2019) · Aging Cell · doi:10.1111/acel.13013 · Cited by 139 · cited 1× · see citing works
“The senescence ‐ associated tissue microenvironment promotes colon cancer formation in human colon epithelial cells and in human-derived colon organoids 266 .”
Senescent cells communicate via intercellular protein transfer
Biran, A., Perelmutter, M., Gal, H., Burton, D. G. A., Ovadya, Y., Vadai, E., Geiger, T., & Krizhanovsky, V. (2015) · Genes & Development · doi:10.1101/gad.259341.115 · Cited by 139 · cited 1× · see citing works
“Senescent cells establish cytoplasmic bridges that allow them to signal to neighbouring cells through direct intercellular protein transfer 39 .”
Targeted Reduction of Senescent Cell Burden Alleviates Focal Radiotherapy-Related Bone Loss
Chandra, A., Lagnado, A. B., Farr, J. N., Monroe, D. G., Park, S., Hachfeld, C., Tchkonia, T., Kirkland, J. L., Khosla, S., Passos, J. F., et al. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.3978 · Cited by 138 · cited 1× · see citing works
“Disease states resulting from focal radiation therapy also induce skeletal senescence, characterized — similar to fracture — by early Cdkn1a and late Cdkn2a expression 202 .”
Self-citationDavy, P., Nagata, M., Bullard, P., Fogelson, N. S., & Allsopp, R. (2009) · Placenta · doi:10.1016/j.placenta.2009.03.005 · Cited by 137 · cited 1× · see citing works
“Telomeres from fetal growth restriction placentas are shorter and express higher levels of CDKN2A and CDKN1A protein and EEF1A1 RNA compared with placentas from normal growth fetuses 265 .”
SILAC Analysis Reveals Increased Secretion of Hemostasis-Related Factors by Senescent Cells
Wiley, C. D., Liu, S., Limbad, C., Zawadzka, A. M., Beck, J., Demaria, M., Artwood, R., Alimirah, F., Lopez-Dominguez, J.-A., Kuehnemann, C., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.08.049 · Cited by 137 · see citing works
Self-citationMoncsek, A., Al‐Suraih, M. S., Trussoni, C. E., O'Hara, S. P., Splinter, P. L., Zuber, C., Patsenker, E., Valli, P. V., Fingas, C. D., Weber, A., et al. (2018) · Hepatology · doi:10.1002/hep.29464 · Cited by 136 · cited 1× · see citing works
“In the context of primary biliary cirrhosis, which is an autoimmune disease characterized by chronic, progressive cholestasis and liver failure, senescence-associated markers have been found in cholangiocytes 165 .”
Secretion of leukotrienes by senescent lung fibroblasts promotes pulmonary fibrosis
Wiley, C. D., Brumwell, A. N., Davis, S. S., Jackson, J., Valdovinos, A., Calhoun, C., Alimirah, F., Castellanos, C. A., Ruan, R., Wei, Y., et al. (2019) · JCI Insight · doi:10.1172/jci.insight.130056 · Cited by 132 · cited 1× · see citing works
“288,289).”
Self-citationLoss of lamin B1 is a biomarker to quantify cellular senescence in photoaged skin
Wang, A. S., Ong, P. F., Chojnowski, A., Clavel, C., & Dreesen, O. (2017) · Scientific Reports · doi:10.1038/s41598-017-15901-9 · Cited by 131 · cited 1× · see citing works
“217 ).”
Upregulation of PD-L1 in Senescence and Aging
Onorati, A., Havas, A. P., Lin, B., Rajagopal, J., Sen, P., Adams, P. D., & Dou, Z. (2022) · Molecular and Cellular Biology · doi:10.1128/mcb.00171-22 · Cited by 131 · see citing works
Self-citationAccelerated osteocyte senescence and skeletal fragility in mice with type 2 diabetes
Eckhardt, B. A., Rowsey, J. L., Thicke, B. S., Fraser, D. G., O’Grady, K. L., Bondar, O. P., Hines, J. M., Singh, R. J., Thoreson, A. R., Rakshit, K., et al. (2020) · JCI Insight · doi:10.1172/jci.insight.135236 · Cited by 130 · cited 2× · see citing works
“In both ageing and the disease states listed above, skeletal cellular senescence can also be observed through histological staining of SA-β-gal activity 203 , SADS 93,200,204,205 and TAF 200,203,204 , typically in bone-embedded osteocytes 206 .”
Self-citationPinho, A. V., Rooman, I., Reichert, M., De Medts, N., Bouwens, L., Rustgi, A. K., & Real, F. X. (2011) · Gut · doi:10.1136/gut.2010.225920 · Cited by 129 · cited 1× · see citing works
“Of the adult cell lineages of the pancreas, acinar cells show the highest plasticity, allowing them to undergo dedifferentiation or transdifferentiation to an embryonic progenitor phenotype expressing ductal markers in a process known as acinar-to-ductal metaplasia 188,189 .”
Hallmarks and detection techniques of cellular senescence and cellular ageing in immune cells
Zhou, D., Borsa, M., & Simon, A. K. (2021) · Aging Cell · doi:10.1111/acel.13316 · Cited by 129 · cited 1× · see citing works
“Transcription and translation measurements using bulk peripheral mononuclear blood cells have identified various cell cycle regulators, including CDKN2A, p53, CDKN1A, CDKN1B and p38 MAPK, and changes in some of these markers were linked to ageing and/or various chronic diseases 82,83 .”
Cellular Senescence Promotes Skin Carcinogenesis through p38MAPK and p44/42MAPK Signaling
Alimirah, F., Pulido, T., Valdovinos, A., Alptekin, S., Chang, E., Jones, E., Diaz, D. A., Flores, J., Velarde, M. C., Demaria, M., et al. (2020) · Cancer Research · doi:10.1158/0008-5472.can-20-0108 · Cited by 128 · cited 2× · see citing works
“223).”
Self-citationCindrova-Davies, T., Fogarty, N. M. E., Jones, C. J. P., Kingdom, J., & Burton, G. J. (2018) · Placenta · doi:10.1016/j.placenta.2018.06.307 · Cited by 127 · cited 2× · see citing works
“Moreover, mitochondria of syncytiotrophoblasts undergo morphological and functional changes, characterized by decreased size and diminished ATP production, leading to increased ROS production to adapt to changing oxygen tension in the placenta 248,256 .”
Lüttges, J., Reinecke-Lüthge, A., Möllmann, B., Menke, M. A. O. H., Clemens, A., Klimpfinger, M., Sipos, B., & Klöppel, G. (1999) · Virchows Archiv · doi:10.1007/s004280050428 · Cited by 127 · cited 1× · see citing works
“%) exhibited ductal lesions such as mucous cell hyperplasia, typically associated with KRAS activating mutations; the ductal lesions show an increasing trend after the age of 40 years 195 .”
Senescence-Induced Oxidative Stress Causes Endothelial Dysfunction
Bhayadia, R., Schmidt, B. M. W., Melk, A., & Hömme, M. (2016) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glv008 · Cited by 126 · cited 2× · see citing works
“Both endothelial cells and vascular smooth muscle cells, which are the primary cell types of the aorta, exhibit senescence-associated markers during mouse ageing 63,66 .”
Evangelou, K., & Gorgoulis, V. G. (2017) · Methods in Molecular Biology · doi:10.1007/978-1-4939-6670-7_10 · Cited by 124 · cited 1× · see citing works
“This increase primarily comprises lysosomes containing indigestible auto-fluorescent materials 42,43 , such as lipofuscin, which is an aggregate of oxidized proteins, lipids and metals that accumulates and can be detected by the histochemical stain Sudan Black B 43 .”
Age- and tissue-specific expression of senescence biomarkers in mice.
Hudgins, A. D., Tazearslan, C., Tare, A., Zhu, Y., Huffman, D., & Suh, Y. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00059 · Cited by 124 · cited 1× · see citing works
“Senescence in the skin is identified by expression of SA-β-gal, α-fucosidase, CDKN2A, CDKN1A and lipofuscin in both the epidermis and the dermis 207,208 , and of the histone variant H2AJ and γH2AX in human epidermis, especially in the stratum spinosum 209 .”
Self-citationAdjustment of the lysosomal-mitochondrial axis for control of cellular senescence
Park, J. T., Lee, Y.-S., Cho, K. A., & Park, S. C. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2018.08.003 · Cited by 123 · cited 1× · see citing works
“This increase primarily comprises lysosomes containing indigestible auto-fluorescent materials 42,43 , such as lipofuscin, which is an aggregate of oxidized proteins, lipids and metals that accumulates and can be detected by the histochemical stain Sudan Black B 43 .”
SenNet Consortium, Writing Group, Lee, P. J., Benz, C. C., Blood, P., Börner, K., Campisi, J., Chen, F., Daldrup-Link, H., De Jager, P., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00326-5 · Cited by 122 · cited 1× · see citing works
“The National Institutes of Health (NIH) Cellular Senescence Network (SenNet) Consortium 11 aims to map senescent cells in multiple tissues along the lifespan of both humans and mice using state-of-the-art single-cell technologies.”
Self-citationHuman fetal membranes at term: Dead tissue or signalers of parturition?
Menon, R. (2016) · Placenta · doi:10.1016/j.placenta.2016.05.013 · Cited by 122 · see citing works
Chkhotua, A. B., Gabusi, E., Altimari, A., D’Errico, A., Yakubovich, M., Vienken, J., Stefoni, S., Chieco, P., Yussim, A., & Grigioni, W. F. (2003) · American Journal of Kidney Diseases · doi:10.1016/s0272-6386(03)00363-9 · Cited by 120 · cited 1× · see citing works
“CDKN2A protein expression in cortical interstitial cells and TECs correlates with age; by contrast, expression of CDKN1B protein correlates with age only in cortical tubular cells 152 .”
Pancreatic ductal adenocarcinoma and acinar cells: a matter of differentiation and development?
Rooman, I., & Real, F. X. (2012) · Gut · doi:10.1136/gut.2010.235804 · Cited by 120 · cited 1× · see citing works
“Of the adult cell lineages of the pancreas, acinar cells show the highest plasticity, allowing them to undergo dedifferentiation or transdifferentiation to an embryonic progenitor phenotype expressing ductal markers in a process known as acinar-to-ductal metaplasia 188,189 .”
Chandra, A., Lagnado, A. B., Farr, J. N., Doolittle, M., Tchkonia, T., Kirkland, J. L., LeBrasseur, N. K., Robbins, P. D., Niedernhofer, L. J., Ikeno, Y., et al. (2022) · Aging Cell · doi:10.1111/acel.13602 · Cited by 120 · cited 2× · see citing works
“In both ageing and the disease states listed above, skeletal cellular senescence can also be observed through histological staining of SA-β-gal activity 203 , SADS 93,200,204,205 and TAF 200,203,204 , typically in bone-embedded osteocytes 206 .”
Self-citationIdentification of neurodegenerative factors using translatome–regulatory network analysis
Brichta, L., Shin, W., Jackson-Lewis, V., Blesa, J., Yap, E.-L., Walker, Z., Zhang, J., Roussarie, J.-P., Alvarez, M. J., Califano, A., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4070 · Cited by 118 · cited 1× · see citing works
“Compared with brains of healthy individuals, the substantia nigra of individuals with Parkinson disease has reduced levels of SATB1 (a CDKN1A repressor) and increased levels of CDKN2A, MMP3, IL-6, IL-1α and CXCL8, suggesting an increased burden of senescence 106,116 .”
Radiation-induced astrocyte senescence is rescued by Δ133p53
Turnquist, C., Beck, J. A., Horikawa, I., Obiorah, I. E., Von Muhlinen, N., Vojtesek, B., Lane, D. P., Grunseich, C., Chahine, J. J., Ames, H. M., et al. (2019) · Neuro-Oncology · doi:10.1093/neuonc/noz001 · Cited by 118 · cited 1× · see citing works
“…radiation) and metabolic and inflammatory stress (including obesity and alcoholism) recapitulate features of age-associated and disease-associated senescence in the mouse brain, as characterized by the induction of CDKN2A, CDKN2D, CDKN1A, p53, IL-1α, IL-1β, IL-6 and SA-β-gal activity 102,117,118 .”
Age-associated callus senescent cells produce TGF-β1 that inhibits fracture healing in aged mice
Liu, J., Zhang, J., Lin, X., Boyce, B. F., Zhang, H., & Xing, L. (2022) · Journal of Clinical Investigation · doi:10.1172/jci148073 · Cited by 112 · cited 1× · see citing works
“Following fracture in mice, cells from the fracture callus exhibit an initial increase in Cdkn1a mRNA expression, followed by Cdkn2a and accompanied by a SASP consisting of numerous interleukins, NF-κB-downstream factors and, specifically, TGFβ1 expression 200,201 .”
Cellular senescence in the lung across the age spectrum
Parikh, P., Wicher, S., Khandalavala, K., Pabelick, C. M., Britt, R. D., & Prakash, Y. S. (2019) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00424.2018 · Cited by 112 · cited 1× · see citing works
“The accumulation of senescent cells is also linked with structural changes in the lung, broadly termed ‘senile emphysema’ 173 .”
Lee, G., Kim, Y. Y., Jang, H., Han, J. S., Nahmgoong, H., Park, Y. J., Han, S. M., Cho, C., Lim, S., Noh, J.-R., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.03.010 · Cited by 111 · see citing works
Self-citationLarge-scale chromatin reorganization reactivates placenta-specific genes that drive cellular aging
Liu, Z., Ji, Q., Ren, J., Yan, P., Wu, Z., Wang, S., Sun, L., Wang, Z., Li, J., Sun, G., et al. (2022) · Developmental Cell · doi:10.1016/j.devcel.2022.05.004 · Cited by 109 · cited 1× · see citing works
“during replicative senescence or stress-induced cellular senescence in non-trophoblast cell lineages 263 .”
Abdul-Aziz, A. M., Sun, Y., Hellmich, C., Marlein, C. R., Mistry, J., Forde, E., Piddock, R. E., Shafat, M. S., Morfakis, A., Mehta, T., et al. (2019) · Blood · doi:10.1182/blood-2018-04-845420 · Cited by 105 · see citing works
Self-citationExpansion and Cell-Cycle Arrest: Common Denominators of Cellular Senescence
Ogrodnik, M., Salmonowicz, H., Jurk, D., & Passos, J. F. (2019) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2019.06.011 · Cited by 104 · cited 1× · see citing works
“Beyond marker prioritization , we do not recommend the use of individual markers to determine the senescence state of cells because ample evidence exists of so-called false-positive senescence 59 (Box 1).”
Self-citationGenome amplification and cellular senescence are hallmarks of human placenta development
Velicky, P., Meinhardt, G., Plessl, K., Vondra, S., Weiss, T., Haslinger, P., Lendl, T., Aumayr, K., Mairhofer, M., Zhu, X., et al. (2018) · PLOS Genetics · doi:10.1371/journal.pgen.1007698 · Cited by 102 · cited 18× · see citing works
“…expression of cell cycle inhibitors (notably CDKN1A, CDKN1C, p53 and MAPK14) 247–252 , increased SA-β-gal activity and lipofuscin pigmentation 247–249 , SAHF formation 248 , TAF and SASP factors such as IL-6, IL-1β, MMP9, HMGB1, GDF15 and TNF 247,253 that mediate immune surveillance and…”
InfluentialOsteocytes regulate senescence of bone and bone marrow
Ding, P., Gao, C., Gao, Y., Liu, D., Li, H., Xu, J., Chen, X., Huang, Y., Zhang, C., Zheng, M., et al. (2022) · eLife · doi:10.7554/elife.81480 · Cited by 102 · cited 1× · see citing works
“These cells have been found in different tissue compartments and have impaired functions compared with their normal counterparts, thereby contributing to disorders such as immune system decay, osteoporosis and cancer 92,93,95–98 .”
Flagged first, then by citations
2 of the 309 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
From geroscience to precision geromedicine: Understanding and managing aging
Kroemer, G., Maier, A. B., Cuervo, A. M., Gladyshev, V. N., Ferrucci, L., Gorbunova, V., Kennedy, B. K., Rando, T. A., Seluanov, A., Sierra, F., et al. (2025) · Cell · doi:10.1016/j.cell.2025.03.011 · Cited by 395 · see citing works
The role of p21 in cellular senescence and aging-related diseases
Yan, J., Chen, S., Yi, Z., Zhao, R., Zhu, J., Shuwen, D., & Wu, J. (2024) · Molecules and Cells · doi:10.1016/j.mocell.2024.100113 · Cited by 181 · see citing works
Ding, Y., Zuo, Y., Zhang, B., Fan, Y., Xu, G., Cheng, Z., Ma, S., Fang, S., Tian, A., Gao, D., et al. (2025) · Cell · doi:10.1016/j.cell.2025.06.047 · Cited by 182 · see citing works
Identifying specific functional roles for senescence across cell types
(2024) · doi:10.1016/j.cell.2024.09.021 · Cited by 139 · see citing works
Self-citationWu, Z., Qu, J., & Liu, G.-H. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00775-3 · Cited by 118 · see citing works
Inflammation and aging-related disease: A transdisciplinary inflammaging framework
Andonian, B. J., Hippensteel, J. A., Abuabara, K., Boyle, E. M., Colbert, J. F., Devinney, M. J., Faye, A. S., Kochar, B. D., Lee, J., Litke, R. R., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01364-0 · Cited by 102 · see citing works
Emerging insights in senescence: pathways from preclinical models to therapeutic innovations
Mansfield, L., Ramponi, V., Gupta, K., Stevenson, T., Mathew, A. B., Barinda, A. J., Herbstein, F., & Morsli, S. (2024) · npj Aging · doi:10.1038/s41514-024-00181-1 · Cited by 91 · see citing works
Jang, D. S., Shin, J., Shim, E., Ohtani, N., & Jeon, O. H. (2024) · Aging Cell · doi:10.1111/acel.14315 · Cited by 84 · see citing works
Liu, B., Peng, Z., Zhang, H., Zhang, N., Liu, Z., Xia, Z., Huang, S., Luo, P., & Cheng, Q. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02284-z · Cited by 82 · see citing works
Therapeutic targeting of senescent cells in the CNS
Rießland, M., Ximerakis, M., Jarjour, A. A., Zhang, B., & Orr, M. E. (2024) · Nature Reviews Drug Discovery · doi:10.1038/s41573-024-01033-z · Cited by 74 · see citing works
“Various markers have been used to identify senescent cells, but a confident identification requires evidence of multiple overlapping phenotypes within the same cell, such as changes in morphology, macro-molecular damage, cell cycle arrest and an inflammatory secretome 14,28 .”
Mitochondrial dysfunction and aging: multidimensional mechanisms and therapeutic strategies
Wei, P., Zhang, X., Yan, C., Sun, S., Chen, Z., & Lin, F. (2025) · Biogerontology · doi:10.1007/s10522-025-10273-4 · Cited by 60 · see citing works
“Mitochondrial damage releases mtDNA and ROS (mtDAMPs), activating cGAS–STING–NF-κB signaling to transcriptionally upregulate SASP components (Suryadevara et al. 2024).”
Lawrence, M., Goyal, A., Pathak, S., & Ganguly, P. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25137411 · Cited by 54 · see citing works
“Overall, these senescence and SASP markers across different tissues have recently been further outlined and categorized thoroughly by Suryadevara and colleagues [47].”
BackgroundDu, K., Umbaugh, D. S., Wang, L., Jun, J. H., Dutta, R. K., Oh, S., Ren, N., Zhang, Q., Ko, D. C., Ferreira, A., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-57616-w · Cited by 60 · see citing works
Self-citationLuo, J., Sun, T., Liu, Z., Liu, Y., Liu, J., Wang, S., Shi, X., & Zhou, H. (2025) · International Journal of Oral Science · doi:10.1038/s41368-025-00380-w · Cited by 56 · see citing works
Immune Aging in Rheumatoid Arthritis
Weyand, C. M., & Goronzy, J. J. (2025) · Arthritis & Rheumatology · doi:10.1002/art.43105 · Cited by 55 · see citing works
Biomarkers of ageing of humans and non-human primates
Wu, Z., Qu, J. T., Zhang, W., Bao, Z., Bi, Y., Cai, J.-P., Cai, S.-Q., Cao, C.-M., Cao, F., Cao, Z., et al. (2025) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-025-00883-8 · Cited by 49 · see citing works
“Recently, valuable recommendations and guidelines for detecting senescence biomarkers have been proposed 37,39 , providing a frame of reference for the assessment of cell ageing both in vitro and in vivo.”
Self-citationMiller, K. N., Li, B., Pierce-Hoffman, H. R., Patel, S., Lei, X., Rajesh, A., Teneche, M. G., Havas, A. P., Gandhi, A., Macip, C. C., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-57229-3 · Cited by 41 · see citing works
Self-citationDistinct senotypes in p16- and p21-positive cells across human and mouse aging tissues
Saul, D., Jurk, D., Doolittle, M. L., Kosinsky, R. L., Han, Y., Zhang, X., Franco, A. C., Kim, S. Y., Wyles, S. P., Prakash, Y. S., et al. (2025) · The EMBO Journal · doi:10.1038/s44318-025-00601-2 · Cited by 45 · see citing works
“Yet, current guidelines by the senescence research community prioritize p21 and p16 as key CDKi for senescence characterization (Ogrodnik et al, 2024; Suryadevara et al, 2024).”
Self-citationExercise activates AMPK in mouse and human pancreatic islets to decrease senescence
Carapeto, P., Iwasaki, K., Hela, F., Kahng, J., Alves-Wagner, A. B., Middelbeek, R. J. W., Hirshman, M. F., Rutter, G. A., Goodyear, L. J., & Aguayo-Mazzucato, C. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01130-8 · Cited by 35 · see citing works
“To assess β-cell senescence, we measured a panel of markers as recommended by previous research 21 .”
Self-citationImpaired ketogenesis in Leydig Cells drives testicular aging
Liu, C., Peng, H. Y., Yu, J., Luo, P., Xiong, C., Chen, H., Fan, H., Ma, Y., Ou, W., Zhang, S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59591-8 · Cited by 38 · see citing works
“Senescent cells are characterized by features such as enlarged cell size, DNA damage, and the secretion of senescence-associated secretory phenotype (SASP) factors 11,12 .”
Spatial transcriptomics of the aging mouse brain reveals origins of inflammation in the white matter
Wang, L., Cui, C., Lee, C. T., Bodogai, M., Yang, N., Shi, C., Irfanoglu, M. O., Occean, J. R., Afrin, S., Sarker, N., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58466-2 · Cited by 32 · see citing works
“Notably, 17 out of the original 37 mRNAs in the SenNet panel 20 could be identi fi ed in our processed data.”
Self-citationShen, K., Zhou, H., Zuo, Q., Gu, Y., Cheng, J., Yan, K., Zhang, H., Song, H., Liang, W.-W., Zhou, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-55335-2 · Cited by 32 · see citing works
Chronic social stress induces p16-mediated senescent cell accumulation in mice
Lyons, C. E., Pallais, J. P., McGonigle, S., Mansk, R. P., Collinge, C. W., Yousefzadeh, M. J., Baker, D. J., Schrank, P. R., Williams, J. W., Niedernhofer, L. J., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00743-8 · Cited by 31 · see citing works
“…of a SNC, and no single marker (or combination) can be taken as absolute evidence of SCN identity, commonly accepted markers include p16 Ink4a (encoded by CDKN2A in humans and Cdkn2a in mice), p21 Cip1 (encoded by CDKN1A and Cdkn1a ) and senescence-associated β-galactosidase (SA β-gal) 29,30 .”
Self-citationSahu, P., & Satapathy, T. (2025) · Inflammopharmacology · doi:10.1007/s10787-025-01867-y · Cited by 29 · see citing works
Hudson, H. R., Sun, X., & Orr, M. E. (2025) · Neurotherapeutics · doi:10.1016/j.neurot.2024.e00519 · Cited by 26 · see citing works
“Recent reviews have proposed criteria for identifying senescent brain cells, all of which highlight the need for multiple, overlapping criteria and careful interpretation of the data [23, 32,35].”
The secretome of senescent monocytes predicts age-related clinical outcomes in humans
Olinger, B., Banarjee, R., Dey, A. K., Tsitsipatis, D., Tanaka, T., Ram, A., Nyunt, T., Daya, G. N., Peng, Z., Shrivastava, M., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00877-3 · Cited by 32 · see citing works
“Quantifying circulating biomarkers of senescence holds clinical potential for identifying outcomes tied to senescence, noninvasive determinating individual senescence burden for risk stratification, and tracking the effectiveness of senotherapeutics in clinical trials 6,7 .”
Self-citationWu, H., Sun, C., Cao, W., Teng, Q., Ma, X., Schiöth, H. B., Dong, R., Zhang, Q., & Kong, B. (2024) · Cancer Letters · doi:10.1016/j.canlet.2024.217192 · Cited by 25 · see citing works
“…of senescence include cell cycle arrest, nuclear changes, changes in morphology, activation of the DNA damage response, increased lysosomal content, the senescence-associated secretory phenotype (SASP), upregulation of anti-apoptotic pathways, metabolic adaptations and cell surface markers [32].”
BackgroundSelf-citationOzdemir, S. A., Faizan, M. I., Kaur, G., Shaikh, S. B., Islam, K. U., & Rahman, I. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26199687 · Cited by 26 · see citing works
Self-citationAdvancements and challenges of R-loops in cancers: Biological insights and future directions
Li, D., Shao, F., Li, X., Yu, Q., Wu, R., Wang, J., Wang, Z., Wusiman, D., Ye, L., Guo, Y., et al. (2024) · Cancer Letters · doi:10.1016/j.canlet.2024.217359 · Cited by 23 · see citing works
Self-citationAging microenvironment in osteoarthritis focusing on early-stage alterations and targeted therapies
Dang, Y., Liu, Y., Zhang, B., & Zhang, X. (2025) · Bone Research · doi:10.1038/s41413-025-00465-6 · Cited by 27 · see citing works
“66,67 However, senescence markers exhibit signi fi cant tissue heterogeneity; for example, brain neurons and glial cells display distinct senescence pro fi les compared to liver or immune cells.”
Zhang, X., Yang, Y., Su, J., Zhong, H., & Fang, L. (2025) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5c02168 · Cited by 24 · see citing works
Senolytics rejuvenate aging cardiomyopathy in human cardiac organoids
Scalise, M., Cianflone, E., Quercia, C., Pagano, L., Chiefalo, A., Stincelli, A., Torella, A., Puccio, B., Santamaria, G., Guzzi, H. P., et al. (2024) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2024.112007 · Cited by 25 · see citing works
Liang, Z., & Zhang, L. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1733798 · Cited by 26 · see citing works
“…muscle cells by upregulating several antiapoptotic pathways, such as the p53/ p21Cip1 pathway, the cyclin-dependent kinase inhibitor p16INK4A protein/pRB pathway, and the PI3K/Akt pathway (Mankhong et al., 2020; Suryadevara et al., 2024),but also directly Multifactorial Mechanism of Sarcopenia.”
Research progress on interferon and cellular senescence
Wang, D., Chen, K., Wang, Z., Wu, H., & Li, Y. (2024) · The FASEB Journal · doi:10.1096/fj.202400808rr · Cited by 23 · see citing works
Hu, M., Kang, X., Liu, Z., Wang, S., Liu, S., Li, C., Lu, D., Qin, Q., Liu, Y., Yi, H., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00956-5 · Cited by 21 · see citing works
“Several in situ markers of cellular senescence 18,19 were incorporated to characterize BAMs, including cell cycle inhibitor (RNAish for Cdkn2a , the p16 encoding gene; Fig.”
Targeting cIAP2 in a novel senolytic strategy prevents glioblastoma recurrence after radiotherapy
Tomimatsu, N., Cristofaro, L. F. M. D., Kanji, S., Samentar, L., Jordan, B. R., Kittler, R., Habib, A. A., Espíndola‐Netto, J. M., Tchkonia, T., Kirkland, J. L., et al. (2025) · EMBO Molecular Medicine · doi:10.1038/s44321-025-00201-x · Cited by 26 · see citing works
“We evaluated the expression of a set of core SASP genes that have been commonly shown to be induced in senescent cells (Coppe et al, 2010; Suryadevara et al, 2024), and found these to be upregulated in senescent LN229 and A172 cells (Fig.”
Defining and characterizing neuronal senescence, ‘neurescence’, as GX arrested cells
Hudson, H. R., Rießland, M., & Orr, M. E. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.09.006 · Cited by 20 · see citing works
Aging at the Crossroads of Organ Interactions: Implications for the Heart
Sen, I., Trzaskalski, N. A., Hsiao, Y., Liu, P. P., Shimizu, I., & Dérumeaux, G. (2025) · Circulation Research · doi:10.1161/circresaha.125.325637 · Cited by 20 · see citing works
Garbarino, V. R., Palavicini, J. P., Melendez, J., Barthelemy, N. R., He, Y., Kautz, T. F., Lopez-Cruzan, M., Mathews, J. J., Xu, P., Zhang, B., et al. (2025) · Neurotherapeutics · doi:10.1016/j.neurot.2025.e00591 · Cited by 19 · see citing works
“The heterogeneous cell-type and context-speci fi c phenotype of senescent cells has presented challenges for identifying a universal biomarker [18,19].”
Chen, Z., Mao, Z., Tang, W., Shi, Y., Liu, J., & You, Y. (2025) · Translational Neurodegeneration · doi:10.1186/s40035-025-00517-1 · Cited by 21 · see citing works
“4a) [146, 147].”
DNA methylation protects cancer cells against senescence
Chen, X., Yamaguchi, K., Rodgers, B., Goehrig, D., Vindrieux, D., Lahaye, X., Nolot, M., Ferry, L., Lanciano, S., Martin, N., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61157-7 · Cited by 17 · see citing works
“1J) further validating the hypothesis that DNA demethylation induced by UHRF1 or DNMT1 removal triggers senescence, a phenomenon consistent in multiple cancer cell types as well as with various methods of depletion.”
Shen, X., Hu, J., Wang, C., Wang, H., Zhong, H., Zhang, Z., Wen, G., Wang, L., Dong, M., & Tian, Y. (2025) · Journal of Controlled Release · doi:10.1016/j.jconrel.2025.113975 · Cited by 22 · see citing works
Self-citationAddressing osteoblast senescence: Molecular pathways and the frontier of anti‐ageing treatments
Zhang, Z., Liu, P., Song, Y., Ma, L., Xu, Y., Lei, J., Tong, B., Zhu, D., Liang, H., Wang, H., et al. (2025) · Clinical and Translational Medicine · doi:10.1002/ctm2.70417 · Cited by 18 · see citing works
“59”
Self-citationCellular senescence in renal ischemia-reperfusion injury
Chen, Y., & Li, Y. (2025) · Chinese Medical Journal · doi:10.1097/cm9.0000000000003698 · Cited by 19 · see citing works
“[17] This list encompasses markers such as cyclin dependent kinase inhibitor 1A (CDKN1A), cyclin dependent kinase inhibitor 1B (CDKN1B), tumor protein P53 binding protein 1 (TP53BP1), cyclin dependent kinase 4 (CDK4), rH2A.”
Liu, C., Wang, X., Liu, E., Zong, Y., Yu, W., Jiang, Y., Chen, J., Gu, M., Meng, Z., Li, J., et al. (2025) · Journal of Hematology & Oncology · doi:10.1186/s13045-025-01716-z · Cited by 19 · see citing works
“6A-D) [25].”
Suppression of thrombospondin-1–mediated inflammaging prolongs hematopoietic health span
Ramalingam, P., Gutkin, M. C., Poulos, M. G., Winiarski, A., Smith, A., Carter, C., Doughty, C., Tillery, T., Redmond, D., Freire, A. G., et al. (2025) · Science Immunology · doi:10.1126/sciimmunol.ads1556 · Cited by 17 · see citing works
PANoptosis: a potential target of atherosclerotic cardiovascular disease
Jin, X., Zhu, Y., Xing, L., Ding, X., & Liu, Z. (2025) · APOPTOSIS · doi:10.1007/s10495-025-02089-x · Cited by 16 · see citing works
Senescence, Aging and Disease Throughout the Gastrointestinal System
Ferreira-González, S., Matsumoto, T., Hara, E., & Forbes, S. J. (2025) · Gastroenterology · doi:10.1053/j.gastro.2025.06.010 · Cited by 16 · see citing works
Sun, Z., Li, J., Zheng, Y., Zhang, J., Bai, W., Deng, X., Wu, Z., Xu, X., Ding, W., Qian, H., et al. (2025) · Stem Cell Research & Therapy · doi:10.1186/s13287-025-04460-w · Cited by 18 · see citing works
“Characteristics of senescent cells include DNA damage, metabolic changes, endoplasmic reticulum stress, and mitochondrial dysfunction [63, 64].”
Cellular Models of Aging and Senescence
Kim, B., Lee, D. I., Basisty, N., & Dai, D.-F. (2025) · Cells · doi:10.3390/cells14161278 · Cited by 16 · see citing works
“As per the latest guidelines from the Cellular Senescence Network (SenNet) consortium [61], a minimum adequate panel should include a proliferation assay such as bromodeoxyuridine (BrdU) incorporation to demonstrate growth arrest, canonical markers p16 or p21 for cell cycle assessment, β…”
Self-citationLiu, S., Xi, Q., Li, X., & Liu, H. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1535601 · Cited by 16 · see citing works
Feng, X., Peng, D., Qiu, Y., et al. (2024) · Inflammation · doi:10.1007/s10753-024-02124-0 · Cited by 15 · see citing works
“Senescent cells exhibit an increased lysosomal content and elevated β-galactosidase activity (β-Gal) [60].”
Marmisolle, I., Chacón, E., Mansilla, S., Ruiz, S., Bresque, M., Martínez, J., Martínez‐Zamudio, R. I., Herbig, U., Liu, J., Finkel, T., et al. (2025) · Redox Biology · doi:10.1016/j.redox.2025.103606 · Cited by 15 · see citing works
“Senescent cells also experience nuclear changes, such as a decrease in lamin B1 and post-translational modifications of histones and DNA methylation [1,2].”
Wang, J., Zhao, X., Hu, X., Zang, Y., Li, J., & He, X. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c15268 · Cited by 16 · see citing works
Self-citationZhang, Y., Gu, Q., Li, Y., Li, J., Han, Y., Feng, L., Qin, X., Zhang, J., Zhou, Z., & Chang, X. (2025) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2025.138972 · Cited by 14 · see citing works
Senotherapeutic repurposing of metformin for age-related diseases and their signaling pathways
Turgut, Ş., Atasever, E., Cebe, T., Andican, G., & Çakatay, U. (2025) · Molecular Biology Reports · doi:10.1007/s11033-025-10524-0 · Cited by 14 · see citing works
Single-cell and spatial detection of senescent cells using DeepScence
Qu, Y., Ji, B., Dong, R., Gu, L., Chan, C., Xie, J., Glass, C., Wang, X.-F., Nixon, A. B., & Ji, Z. (2025) · Cell Genomics · doi:10.1016/j.xgen.2025.101035 · Cited by 30 · see citing works
Self-citationMultimodal clocks of human aging
Li, J., Jiang, B., Zhang, W., Hao, J., Liu, Z., Ji, Q., Zheng, Y., Lu, X., Zheng, Z., Ma, S., et al. (2026) · Cell · doi:10.1016/j.cell.2026.04.025 · Cited by 17 · see citing works
Bian, X., Snow, Z. K., Zinn, C. J., Bratulin, A. L., Elhusseiny, K. M., Tchkonia, T., Kirkland, J. L., Zhu, Y., Khosla, S., Kim, S. R., et al. (2026) · EBioMedicine · doi:10.1016/j.ebiom.2026.106124 · Cited by 13 · see citing works
Self-citationLaunay, A., Carvalho, K., Génin, A., Gauvrit, T., Nobili, P., Gómez‐Murcia, V., Augustin, E., Burgard, A., Gambi, J., Fourmy, D., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03115-9 · Cited by 13 · see citing works
“Considering the clinical interest of A 2A R targeting drugs in AD and epilepsy, this warrants further mechanistic studies.”
InfluentialSekera, E. R., Rosas, L., Holbrook, J. H., et al. (2024) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.4c00095 · Cited by 12 · see citing works
Devrukhkar, P. R., Watson, M. A., Soygur, B., Wu, F., Bons, J., Anvari, H., Atazhanova, T., Martin, N., Tran, T., Schneider, K., et al. (2025) · Aging Cell · doi:10.1111/acel.70111 · Cited by 15 · see citing works
“Currently, there is no universal marker for identifying senescent cells, and their characteristics vary by the inducer, cell type, tissue, and culture microenvironment (Hernandez-Segura et al. 2018; Herranz and Gil 2018; Suryadevara et al. 2024).”
InfluentialSelf-citationVasculature segmentation in 3D hierarchical phase-contrast tomography images of human kidneys
Jain, Y., Walsh, C., Yağış, E., Aslani, S., Nandanwar, S., Zhou, Y., Ha, J., Gustilo, K. S., Brunet, J., Rahmani, S., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-74050-8 · Cited by 9 · see citing works
“SenNet studies senescent cells of the human body — in health and in disease — across the lifespan 15,16 .”
Liu, Y., Feng, Y., Cheng, L. L., Xu, Y., Wu, A., & Cheng, P. (2025) · Cell Death and Disease · doi:10.1038/s41419-025-07915-3 · Cited by 12 · see citing works
“Moreover, it has been previously reported that, in the absence of cell-cycle arrest (non-senescence state), brain cells also secrete in fl ammatory molecules that overlap with SASP factors [34].”
Self-citationCáceres-Palomo, L., Sánchez‐Mejías, E., Trujillo‐Estrada, L., Pérez-Moreno, J. J., Lopez-Oliva, E., Lim, T. E., DeFlitch, L., Chang, S. H., Kampman, L., Corces, M. R., et al. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03607-z · Cited by 11 · see citing works
“Our results can be explained by the fact that mitochondrial fusion increases, the mitophagy process decreases, and energetic metabolism increases during cellular senescence [38, 39, 41].”
InfluentialSenescence in cancer: Hallmarks, paradoxes, and therapeutic promise
Hinterleitner, C., Goldberg, H. V., McHugh, D., Barthet, V. J. A., Filliol, A. A., & Lowe, S. W. (2026) · Cell · doi:10.1016/j.cell.2026.03.005 · Cited by 18 · see citing works
“Bridging gaps between culture models and tissues, and redefining senescence through its in vivo manifestations, will be essential for establishing hallmarks that accurately reflect its biological scope in cancer and beyond 29,30 .”
Cellular senescence in kidney diseases
Wang, X., Li, Y., Chu, Q., Lv, H., Li, J., & Yi, F. (2025) · Chinese Medical Journal · doi:10.1097/cm9.0000000000003746 · Cited by 10 · see citing works
“[2] In this section, we introduce the major hallmarks and types of cellular senescence in kidney diseases including telomere shortening, the DNA damage response (DDR), cyclin-dependent kinase (CDK) inhibitors, SASP, mitochondrial dysfunction, and autophagy dysfunction [Figure 1].”
Manavi, Z., Melchor, G. S., Bullard, M. R., Gross, P. S., Ray, S., Gaur, P., Baydyuk, M., & Huang, J. K. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03425-3 · Cited by 10 · see citing works
“Since there is no universal marker for senescence, a combination of senescence-associated markers is commonly used to identify SCs in vivo [50, 51].”
DeepQA : A Unified Transcriptome‐Based Aging Clock Using Deep Neural Networks
Qi, H., Zhao, H., Li, E., Lu, X., Yu, N., Liu, J., & Han, J. (2025) · Aging Cell · doi:10.1111/acel.14471 · Cited by 10 · see citing works
Revealing toxic secrets: How PAHs accelerate cellular ageing and trigger human diseases
Wang, Y., Xu, P., Chen, H., Guo, X., Gao, J., Wang, T., Yao, D., Li, X., Liu, B., & Yuan, J. (2025) · Toxicology · doi:10.1016/j.tox.2025.154219 · Cited by 10 · see citing works
Chiche, A., Djoual, L., Charifou, E., Wang, S., Temime, L., Saclier, M., Wang, S., Chantrel, J., & Li, H. (2026) · Nature Aging · doi:10.1038/s43587-025-01058-y · Cited by 10 · see citing works
“…(1P-Inv5, ~3 months), resting MGs after one round of involution (1P-RS, ~4 months), involuting MGs from multiparous mice (MP-Inv5, ~11 months, corresponding to approximately 35 years pathological roles of senescence, its functional contributions to normal physiology remain poorly understood 20,21 .”
InfluentialWang, J., Guo, P., Wu, D., Yi, J., Jiang, Q., Hu, J., & Ouyang, H. (2025) · Advanced Science · doi:10.1002/advs.202414419 · Cited by 11 · see citing works
Self-citationA Single‐Cell Transcriptome Atlas Characterizes the Immune Landscape of Human Testes During Aging
Jiang, Q., Cui, L., Nie, X., Cai, H., Zhang, W., Lu, X., Guo, Y., Hotaling, J. M., Cairns, B. R., Wang, X., et al. (2025) · Aging Cell · doi:10.1111/acel.70032 · Cited by 10 · see citing works
Zeng, X., Li, J., Wang, J., Zhang, J., Wang, Y., Wang, Y., Wang, Y., Tian, L., & Zhu, Z. (2025) · Aging Cell · doi:10.1111/acel.70275 · Cited by 10 · see citing works
“Cellular senescence is an irreversible cell cycle arrest triggered by DNA damage, oncogene activation, oxidative stress, or telomere shortening, primarily mediated by the p53/p21 and p16INK4a/ pRb tumor suppressor pathways (Suryadevara et al. 2024).”
Self-citationCellular senescence in adult pulmonary hypertension: current state and future challenges
Lemay, S.-E. S., Kuwabara, Y., Bonnet, S., Potus, F., Provencher, S., Adnot, S., & Boucherat, O. (2025) · European Respiratory Review · doi:10.1183/16000617.0030-2025 · Cited by 15 · see citing works
“A comprehensive database of senescence markers secreted or expressed in the nucleus, cytoplasm and at the cell surface, across tissues is described in [30], with some of these markers included in figure 2.”
Zhang, Z., Li, C., Guo, J., Liu, T., Zhang, W., Bai, S., Li, B., Zhao, Y., Xu, F., & Wang, W. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.157483 · Cited by 10 · see citing works
Al-Naggar, I. M. A., Antony, M., Baker, D., Wang, L., Godoy, L. D. C., Kuo, C.-L., Fraser, M., Smith, P. P., Xu, M., & Kuchel, G. (2024) · Aging Cell · doi:10.1111/acel.14399 · Cited by 10 · see citing works
“Senescent cells have been identified and studied in most organs in mice and humans, including the brain, heart, lungs, kidneys, liver, pancreas, skin, and eyes (Suryadevara et al., 2024 ; Tuttle et al., 2020 ).”
InfluentialSelf-citationSilk Fibroin Counteracts Fibroblast Senescence to Restore ECM Homeostasis in Aged Skin
Cheng, J., Bao, G., Lin, D., Wang, H., Yang, Y., Chen, Y., Ning, M., Ye, J., & Liu, Y. (2026) · Bioactive Materials · doi:10.1016/j.bioactmat.2025.12.006 · Cited by 9 · see citing works
“5C)[29, 30].”
Functional Features of Senescent Cells and Implications for Therapy
Kirichenko, T. V., Markina, Y. V., Markin, A. M., Vasilyev, V. S., Hua, H., Li, D., Woo, A. Y., Deev, R. V., Eremin, I. I., & Kotenko, K. V. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26115390 · Cited by 9 · see citing works
“…of senescent cells depending on tissue types and highlights priority markers of senescence that are specific for the most cell types; in particular, p16 and p21, γ H2AX, loss of lamin B1, SASP factors IL-6, IL-1 α , IL-1 β , SA-β -gal, and increased expression of BCL-2 family proteins [56].”
Ngassie, M. L. K., Thompson, M. A., Roos, B. B., Ayyalasomayajula, S., Lagnado, A. B., Passos, J. F., Pabelick, C. M., & Prakash, Y. S. (2025) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00348.2024 · Cited by 11 · see citing works
Self-citationImmunosenescence: Molecular Mechanisms, Diseases, and Therapeutic Innovations
Gong, N., Pan, X., Deng, Y., Che, J., Bao, J., Wang, M., Xu, C., Liu, X., & Shi, Y. (2025) · MedComm · doi:10.1002/mco2.70515 · Cited by 11 · see citing works
“Senescent cells are featured with larger size of cell body and more irregular morphology, such as flattening, vacuolization, and abundant lysosomes [9, 10].”
Targeting T-cell Aging to Remodel the Aging Immune System and Revitalize Geriatric Immunotherapy
Mi, C., Zhou, S., & Xue, J. (2025) · Aging and Disease · doi:10.14336/ad.2025.0061 · Cited by 9 · see citing works
“Moreover, they express elevated levels of SASP factors, such as interleukin (IL)- 6, IL-8, and osteopontin, which contribute to chronic inflammation [38].”
HIV-Tat upregulates the expression of senescence biomarkers in CD4+ T-cells
Casanova, V., Rodríguez-Agustín, A., Ayala-Suárez, R., Moraga, E., Maleno, M. J., Mallolas, J., Martínez, E., Sánchez‐Palomino, S., Miró, J. M., Alcamı́, J., et al. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1568762 · Cited by 10 · see citing works
Guan, B., Zhou, M., Dai, W., Zhang, J., Xie, B., Mi, Y., Zhang, X., Wei, P., Liu, Y., Li, S., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-01023-9 · Cited by 11 · see citing works
“GDF15 is recognized as a senescence-associated secretory phenotype (SASP) factor 10 .”
Avilez-Avilez, J. J., García‐Aviles, J. E., Carreto, R. J. R., Salas-Venegas, V., Guzmán‐Ruiz, M. A., Medina‐Flores, F., Königsberg, M., Chavarría, A., & Gómez‐González, B. (2025) · Neurochemical Research · doi:10.1007/s11064-025-04510-y · Cited by 8 · see citing works
“Its key feature is the secretion of a set of inflammatory molecules known as the senescence-associated secretory phenotype (SASP), which involves IL-1α, IL-8, IL-1β, and IL-6, thereby contributing to neuro - inflammation [ 15, 16].”
Lee, C. H., Nguyen, T. M., Lee, Y., Choi, S. G., Nguyễn, P. N., Park, J. H., & Park, M. K. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms27010357 · Cited by 12 · see citing works
“Although technical limitations persist, such multi-omic profiling has revealed that in vivo senescent cells are not a uniform population but exist as distinct clusters with divergent secretory profiles [34,44].”
The n-butanol extract of Polygonatum sibiricum improves spleen aging via p53 pathway
Chao, J., Wang, Y., Huang, Q., Zhang, H., Chen, Y., Cheng, X., Mao, J., Yu, J., Yan, M., Chen, S., et al. (2025) · Phytomedicine · doi:10.1016/j.phymed.2025.156888 · Cited by 8 · see citing works
Shi, H., Xiao, M., Li, Y., Liu, X., Na, J., Liang, C., Hua, J., Meng, Q., Wei, M., Wang, W., et al. (2025) · Theranostics · doi:10.7150/thno.112633 · Cited by 12 · see citing works
“So far, SenNet has recommended senescence markers across different tissues of humans and mice [353].”
Huang, Y., Zhang, Y., Yang, N., Qian, Z., Fang, Z., Zeng, L., Huang, Y., Li, H., Luo, M., Yan, J., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01463-y · Cited by 8 · see citing works
Parabiosis, Assembloids, Organoids (PAO)
Hong, Y., Li, L., Yan, L., Bai, L., Su, J., & Zhang, X. (2025) · Advanced Science · doi:10.1002/advs.202511671 · Cited by 9 · see citing works
Liu, X., Wang, C., Mao, H., & Wei, J. (2025) · Oncology Reports · doi:10.3892/or.2025.8926 · Cited by 10 · see citing works
“Senescent cells demonstrate high oxidative metabolism and ROS production (76).”
InfluentialYang, D., Xu, X., Xu, K., Yang, M., Hao, Y., Aihaiti, Y., Li, E., Yan, Y., Lu, C., & Xu, P. (2025) · Stem Cell Research & Therapy · doi:10.1186/s13287-025-04833-1 · Cited by 9 · see citing works
Heng, C., Zheng, M., Li, M., Zheng, Y., Wang, X., & He, Y. (2024) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2024.10.308 · Cited by 9 · see citing works
Liu, S., Zheng, Y., Cui, B., Yang, J., Yuan, B., Cao, Y., Zhao, Z., Sun, Z., Wang, Q., Yang, X., et al. (2025) · Life Sciences · doi:10.1016/j.lfs.2025.123709 · Cited by 8 · see citing works
Redefining senescence through hepatocyte fate changes in liver diseases
Umbaugh, D. S., Diehl, A. M., & Du, K. (2025) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2025.08.003 · Cited by 9 · see citing works
MRI detection of senescent cells in porcine knee joints with a β-galactosidase responsive Gd-chelate
Nernekli, K., Mangarova, D. B., Suryadevara, V., et al. (2025) · npj Imaging · doi:10.1038/s44303-025-00078-y · Cited by 7 · see citing works
Self-citationCheng, M., Yang, M., Tian, Y., Liu, X., Li, J., & Zhao, P. (2025) · Scientific Reports · doi:10.1038/s41598-025-00746-4 · Cited by 7 · see citing works
Charting human cellular senescence in aging and disease
Suryadevara, V., Farzad, N., Yang, M., Xu, K., Tsankov, A. M., Thompson, R. C., Sloan, N., Phatnani, H. P., Olinger, B., Mares, J. A., et al. (2026) · Cell · doi:10.1016/j.cell.2026.05.028 · Cited by 9 · see citing works
Self-citation(2025) · doi:10.20944/preprints202508.1331.v1 · Cited by 7 · see citing works
Self-citationPatel, H. A., Wang, J., Zinn, C. J., Learmonth, M., Bian, X., Jurk, D., Lerman, L. O., Wolfram, J., & Hickson, L. J. (2026) · Kidney International · doi:10.1016/j.kint.2025.10.019 · Cited by 8 · see citing works
Self-citation
- Authors
- Suryadevara, V., Hudgins, A. D., Rajesh, A., Pappalardo, A., Karpova, A., Dey, A. K., Hertzel, A., Agudelo, A., Rocha, A., Soygur, B., Schilling, B., Carver, C. M., Aguayo-Mazzucato, C., Baker, D. J., Bernlohr, D. A., Jurk, D., Mangarova, D. B., Quardokus, E. M., Enninga, E. A. L., Schmidt, E. L., Chen, F., Duncan, F. E., Cambuli, F., Kaur, G., Kuchel, G. A., Lee, G., Daldrup-Link, H. E., Martini, H., Phatnani, H., Al-Naggar, I. M., Rahman, I., Nie, J., Passos, J. F., Silverstein, J. C., Campisi, J., Wang, J., Iwasaki, K., Barbosa, K., Metis, K., Nernekli, K., Niedernhofer, L. J., Ding, L., Wang, L., Adams, L. C., Ruiyang, L., Doolittle, M. L., Teneche, M. G., Schafer, M. J., Xu, M., Hajipour, M., Boroumand, M., Basisty, N., Sloan, N., Slavov, N., Kuksenko, O., Robson, P., Gomez, P. T., Vasilikos, P., Adams, P. D., Carapeto, P., Zhu, Q., Ramasamy, R., Perez-Lorenzo, R., Fan, R., Dong, R., Montgomery, R. R., Shaikh, S., Vickovic, S., Yin, S., Kang, S., Suvakov, S., Khosla, S., Garovic, V. D., Menon, V., Xu, Y., Song, Y., Suh, Y., Dou, Z., & Neretti, N.
- Affiliations
- Stanford Medicine (US)
- Columbia University (US)
- Sanford Burnham Prebys Medical Discovery Institute (US)
- Washington University in St. Louis (US)
- National Institute on Aging (US)
- University of Minnesota (US)
- Brown University (US)
- Buck Institute for Research on Aging (US)
- Mayo Clinic (US)
- Indiana University Bloomington (US)
- Northwestern University (US)
- New York Genome Center (US)
- University of Rochester Medicine (US)
- UConn Health (US)
- Columbia University Irving Medical Center (US)
- The University of Texas at San Antonio Health Science Center (US)
- University of Pittsburgh (US)
- Joslin Diabetes Center (US)
- Northeastern University (US)
- University of Connecticut (US)
- University of California San Diego (US)
- The Jackson Laboratory for Genomic Medicine (US)
- Yale University (US)
- University of Washington (US)
- Harvard University (US)
- Corresponding author
- Neretti, Nicola
- ORCID
- Suryadevara, Vidyani
- Hudgins, Adam D.
- Rajesh, Adarsh
- Pappalardo, Alberto
- Karpova, Alla
- Dey, Amit K.
- Hertzel, Ann
- Soygur, Bikem
- Schilling, Birgit
- Carver, Chase M.
- Aguayo-Mazzucato, Cristina
- Baker, Darren J.
- Bernlohr, David A.
- Jurk, Diana
- Mangarova, Dilyana B.
- Quardokus, Ellen M.
- Enninga, Elizabeth Ann L.
- Schmidt, Elizabeth L.
- Chen, Feng
- Duncan, Francesca E.
- Cambuli, Francesco
- Kaur, Gagandeep
- Kuchel, George A.
- Lee, Gung
- Daldrup-Link, Heike E.
- Martini, Helene
- Phatnani, Hemali
- Rahman, Irfan
- Passos, João F.
- Silverstein, Jonathan C.
- Campisi, Judith
- Wang, Julia
- Iwasaki, Kanako
- Barbosa, Karina
- Nernekli, Kerem
- Niedernhofer, Laura J.
- Ding, Li
- Wang, Lichao
- Adams, Lisa C.
- Doolittle, Madison L.
- Teneche, Marcos G.
- Schafer, Marissa J.
- Xu, Ming
- Boroumand, Mozhgan
- Basisty, Nathan
- Slavov, Nikolai
- Kuksenko, Olena
- Robson, Paul
- Gomez, Paul T.
- Vasilikos, Periklis
- Adams, Peter D.
- Carapeto, Priscila
- Zhu, Quan
- Ramasamy, Ramalakshmi
- Perez-Lorenzo, Rolando
- Fan, Rong
- Dong, Runze
- Montgomery, Ruth R.
- Shaikh, Sadiya
- Yin, Shanshan
- Kang, Shoukai
- Suvakov, Sonja
- Khosla, Sundeep
- Garovic, Vesna D.
- Menon, Vilas
- Xu, Yanxin
- Song, Yizhe
- Suh, Yousin
- Dou, Zhixun
- Neretti, Nicola
- Venue
- Nature Reviews Molecular Cell Biology
- Published
- 2024-06-03
- Volume
- 25
- Issue
- 12
- Pages
- 1001-1023
- ISSN
- 1471-0072 (ISSN-L)
- 1471-0080
- PMC
- PMC11578798
- OpenAlex
- W4399285708
- Cited by
- 408
- References
- 309
- Citations by year
- 2026: 184 · 2025: 186 · 2024: 37 · 2023: 1
- FWCI
- 23.12
- Type
- journal article
- Language
- en
- Open access
- green
- pmc.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Reviews Molecular Cell Biology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- National Institutes of Health (5ug3ca275686-02, AG062413)
- National Institute on Aging (F31AG072748, R01AG069819, R01AG068182, U01AG060906, R01AG050582, R01AG068048, P01AG017242, R33AG061456, T32AG041688, U54AG075934, R01AG076642, U54AG075941, U54AG075932, R01AG082708, U54AG079779, P30AG067988, U54AG079754, U54AG076041, P01AG062413, U54AG076040, R01AG076515, U54AG079758, U54AG079753, U54AG079759, U54AG075931)
- National Heart, Lung, and Blood Institute (R01HL147575, R01HL147290)
- National Institute of Mental Health (T32MH126036)
- National Human Genome Research Institute (RM1HG011014)
- National Cancer Institute (UG3CA268105, UG3CA268202, UG3CA268112, UH3CA268103, UG3CA268117, UG3CA275669, UG3CA268103, UG3CA268096, P30CA015083, UH3CA275686, U24CA268108, UG3 CA275686)
- National Institute of General Medical Sciences (T32GM136566)
- National Institute of Allergy and Infectious Diseases (U19AI089992)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK127778, P30DK036836, R01DK132535)
- National Institute of Environmental Health Sciences (P30ES001247)
- Topics
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- cellular senescence, senescence markers, postmitotic cells, cancer, aging
- MeSH terms
- Animals, Humans, Organ Specificity, Biomarkers, Cellular Senescence, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review