The DOI matches its Crossref record; 306 of the 309 references it cites were found in a registry or an index; 174 of the 241 sources its claims cite were checked for support.
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.
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Claims the paper makes
174 of 241 cited sources checked · 62 supported · 2 flagged · accuracy not yet measured
At least one cited source doesn’t support this claim or points to a different paper, and none confirmed it — see the verdicts below.
In the paper
“Senescent podocytes in old mouse kidneys overexpress senescence markers and SASP factors, including Irf5, Cebpb, Jdp2, Ccl2, Ccl3, Ccl5, Ccl8, Mmp12, Mmp13 and Gsk3b.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Kidneys
What the sources say
- Disputedcites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). sourceExperimental — accuracy not yet measured
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.
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Disputed
Some cited sources support this claim and some don’t — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Pancreas
What the sources say
- Not checked — no full text of the sourcecites [190] Grabliauskaite, K. et al. p21WAF1/Cip1 limits senescence and acinar-to-ductal metaplasia formation during pancreatitis. J. Pathol. 235, 502–514 (2015). source
- Not checked — no full text of the sourcecites [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
- Disputedcites [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). sourceExperimental — accuracy not yet measured
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.
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The central nervous system
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [116] Brichta, L. et al. Identification of neurodegenerative factors using translatome-regulatory network analysis. Nat. Neurosci. 18, 1325–1333 (2015). sourceExperimental — accuracy not yet measured
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)
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Therefore, detecting senescence-associated cell cycle arrest requires quantifying multiple factors and features17.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Cell cycle arrest
What the sources say
- Supportedcites [17] Gorgoulis, V. et al. Cellular senescence: defining a path forward. Cell 179, 813–827 (2019). source
The Cell-Cycle Arrest section states that no specific marker of senescent cell-cycle arrest has been identified and explicitly concludes that detection requires quantifying multiple factors and features. (LLM, conf=0.95)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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).”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Adipose tissue
What the sources say
- Partly supportedcites [124] Wang, B. et al. Transplanting cells from old but not young donors causes physical dysfunction in older recipients. Aging Cell 19, e13106 (2020). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Analysis of the SenMayo gene panel (Box 3) indicates that approximately 50% of monocytes in the bone marrow of older subjects could be senescent84.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The immune system
What the sources say
- Partly supportedcites [84] Saul, D. et al. A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues. Nat. Commun. 13, 4827 (2022). sourceExperimental — accuracy not yet measured
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)
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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).”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The immune system
What the sources say
- Partly supportedcites [85] Yousefzadeh, M. J. et al. Tissue specificity of senescent cell accumulation during physiologic and accelerated aging of mice. Aging Cell 19, e13094 (2020). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [86] Yousefzadeh, M. J. et al. An aged immune system drives senescence and ageing of solid organs. Nature 594, 100–105 (2021). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The central nervous system
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [100] Kiss, T. et al. Single-cell RNA sequencing identifies senescent cerebromicrovascular endothelial cells in the aged mouse brain. Geroscience 42, 429–444 (2020). sourceExperimental — accuracy not yet measured
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)
- Not checked — no full text of the sourcecites [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
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Rests on an assumption: Marker expression observed in animal models can be extrapolated to human tissues.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The cardiovascular system
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [68] Zhu, F. et al. Senescent cardiac fibroblast is critical for cardiac fibrosis after myocardial infarction. PLoS ONE 8, e74535 (2013). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The central nervous system
What the sources say
- Partly supportedcites [112] Hu, Y. et al. Replicative senescence dictates the emergence of disease-associated microglia and contributes to Aβ pathology. Cell Rep. 35, 109228 (2021). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [115] Bryant, A. G. et al. Cerebrovascular senescence is associated with tau pathology in Alzheimer’s disease. Front. Neurol. 11, 575953 (2020). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Partly supported
- Probably not a substantial claim. 22
- It may state two separate claims as one. 61
Every source the paper cites for this claim was checked and supports it.
In the paper
“In humans, mice and some other species, cellular senescence has been shown to contribute to various physiological and pathological processes1.”
§ SenNet recommendations for detecting senescent cells in different tissues > Introduction
What the sources say
- Supportedcites [1] He, S. & Sharpless, N. E. Senescence in health and disease. Cell 169, 1000–1011 (2017). source
The Introduction says cellular senescence has a clear role in physiological and pathological states and describes senescent cells in mammalian species, including humans. The section on Other Age-Related Disease discusses effects in humans and mice, supporting the claim's species scope. (LLM, conf=0.91)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Cell cycle arrest
What the sources say
- Supportedcites [14] Rodier, F. & Campisi, J. Four faces of cellular senescence. J. Cell Biol. 192, 547–556 (2011). source
The citation to this source is attached to the final clause, that CDKN2A is not expressed in all senescent cells. In “What defines a senescent cell?”, the paper says that some senescent cells do not express p16INK4a. The preceding claims about RB/p53 activation and expression in non-senescent cells carry different citations. (LLM, conf=0.94)
- Not checked — no full text of the sourcecites [15] Sharpless, N. E. & Sherr, C. J. Forging a signature of in vivo senescence. Nat. Rev. Cancer 15, 397–408 (2015). source
- Supportedcites [16] Hernandez-Segura, A., Nehme, J. & Demaria, M. Hallmarks of cellular senescence. Trends Cell Biol. 28, 436–453 (2018). source
The Cyclin-Dependent Kinase Inhibitors and Cell Cycle Arrest section identifies p16 as encoded by CDKN2A and used as a senescence marker. The Highlights state that no universal senescence marker exists, supporting the cited point that p16 is not expressed in every senescent cell. Citation 16 is attached to that point, not to the preceding claims about RB, p53, or non-senescent cells. (LLM, conf=0.84)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The SASP
What the sources say
- Supportedcites [17] Gorgoulis, V. et al. Cellular senescence: defining a path forward. Cell 179, 813–827 (2019). source
The Macromolecular Damage passage states that SASP composition and strength vary with senescence duration, the origin of the pro-senescence stimulus, and cell type. This directly supports the attributed paraphrase. (LLM, conf=0.95)
- Supportedcites [21] Wiley, C. D. & Campisi, J. The metabolic roots of senescence: mechanisms and opportunities for intervention. Nat. Metab. 3, 1290–1301 (2021). source
The Introduction section on cell-autonomous and non-autonomous effects says the SASP is variable and plastic, depends on cell type and senescence inducer, and changes characteristics over time. This supports the cited claim about variation in its composition and strength. (LLM, conf=0.92)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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).”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Adipose tissue
What the sources say
- Could not verifycites [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). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [120] Xu, M. et al. Senolytics improve physical function and increase lifespan in old age. Nat. Med. 24, 1246–1256 (2018). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [121] Palmer, A. K. et al. Targeting senescent cells alleviates obesity-induced metabolic dysfunction. Aging Cell 18, e12950 (2019). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: Marker expression observed in animal models can be extrapolated to human tissues.
- Could not verify
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The cardiovascular system
What the sources say
- Partly supportedcites [62] Lewis-McDougall, F. C. et al. Aged-senescent cells contribute to impaired heart regeneration. Aging Cell 18, e12931 (2019). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The SASP
What the sources say
- Supportedcites [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
The section “Multiple components of the SASP mediate paracrine senescence” reports that factors secreted by senescent cells mediate paracrine senescence. This source is cited for the SASP clause; the NOTCH1–JAG1 clause carries separate citations. (LLM, conf=0.94)
- Partly supportedcites [25] Teo, Y. V. et al. Notch signaling mediates secondary senescence. Cell Rep. 27, 997–1007.e5 (2019). sourceExperimental — accuracy not yet measured
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)
- Not matchedcites [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.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The central nervous system
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [107] Musi, N. et al. Tau protein aggregation is associated with cellular senescence in the brain. Aging Cell 17, e12840 (2018). sourceExperimental — accuracy not yet measured
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)
- Not checked — no full text of the sourcecites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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).”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Bone marrow
What the sources say
- Supportedcites [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 ‘AML induces a senescent phenotype in vivo’ section (p. 8) reports real-time PCR of sorted mouse bone marrow stromal cells from AML-engrafted mice. It found increased p16INK4a (Cdkn2a), p21 (Cdkn1a), and the SASP factors IL-6 and MIP3, alongside decreased lamin B1 expression. The claim’s ‘bone marrow cells’ refers more specifically to those sorted stromal cells. (LLM, conf=0.93)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The cardiovascular system
What the sources say
- Supportedcites [60] Anderson, R. et al. Length-independent telomere damage drives post-mitotic cardiomyocyte senescence. EMBO J. 38, e100492 (2019). source
The Results report that mouse cardiomyocytes accumulate TAF with age (Fig. 1) and show age-dependent increases in p21, p15 and p16 expression, SA-β-gal activity, and SADS (Fig. 4). They also identify a non-typical secretory phenotype in aged cardiomyocytes whose factors promote myofibroblast activation (Fig. 5), supporting the description of a pro-fibrotic SASP. (LLM, conf=0.93)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Adipose tissue-derived mesenchymal stem cells from older donors (human and mouse) exhibit senescence properties and impaired regenerative potential123,124.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Adipose tissue
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Supportedcites [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 paper reports a senescent-like population in ADSCs from old mouse donors and notes comparable senescent-cell percentages in ADSCs from old human donors (Abstract; no page provided). It also states that emerging evidence suggests reduced regenerative potential in ADSCs from aged donors. The human finding and regenerative-potential point are reported as prior evidence, rather than tested directly in this study. (LLM, conf=0.86)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Bone marrow
What the sources say
- Partly supportedcites [93] Farr, J. N. et al. Identification of senescent cells in the bone microenvironment. J. Bone Miner. Res. 31, 1920–1929 (2016). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Liver
What the sources say
- Partly supportedcites [159] Ogrodnik, M. et al. Cellular senescence drives age-dependent hepatic steatosis. Nat. Commun. 8, 15691 (2017). sourceExperimental — accuracy not yet measured
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)
- Not checked — no full text of the sourcecites [161] Aravinthan, A. et al. Hepatocyte senescence predicts progression in non-alcohol-related fatty liver disease. J. Hepatol. 58, 549–556 (2013). source
- Supportedcites [162] Wilson, C. L. et al. NFκB1 is a suppressor of neutrophil-driven hepatocellular carcinoma. Nat. Commun. 6, 6818 (2015). source
Citation 162 is attached to the alcoholic-liver-disease part of the sentence. In the Results section (“Neutrophils promote hepatocellular telomere damage,” Fig. 5b; page not provided), the paper reports telomere-associated DNA damage foci in hepatocytes from human alcoholic liver disease, with negligible TAF-positive hepatocytes in normal human liver. The preceding non-alcoholic fatty liver disease claim is attributed to citations 159 and 161, not this source. (LLM, conf=0.94)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Serpine1 overexpression causes podocyte detachment and apoptosis, resulting in glomerulosclerosis140.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Kidneys
What the sources say
- Partly supportedcites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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).”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Kidneys
What the sources say
- Partly supportedcites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Importantly, Cdkn1ahigh and Cdkn2ahigh cells exist as two distinct cell populations122,125, indicating the heterogeneity and complexity of senescent cell populations in adipose tissue.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Adipose tissue
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Supportedcites [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
The Results section ('p16high and p21high cells are two distinct cell populations') reports different distributions of these cells in aged visceral fat and concludes that they are distinct populations in aged tissues. Extended Data Fig. 1 identifies p21 as Cdkn1a and p16 as Cdkn2a. The evidence is specifically from aged mouse adipose tissue. (LLM, conf=0.91)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Liver
What the sources say
- Not checked — no full text of the sourcecites [157] Wang, C. et al. DNA damage response and cellular senescence in tissues of aging mice. Aging Cell 8, 311–323 (2009). source
- Supportedcites [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
The Results section, “TAF increase with age irrespective of telomere length,” reports TAF in mouse liver hepatocytes and an increase in TAF per cell with age. This citation is attached to TAF in the citing sentence, not to the other listed markers. (LLM, conf=0.94)
- Partly supportedcites [158] Fumagalli, M. et al. Telomeric DNA damage is irreparable and causes persistent DNA-damage-response activation. Nat. Cell Biol. 14, 355–365 (2012). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Most human renal nephropathies are associated with accelerated cellular senescence142,145,147,149,154,155, with CDKN2A being most overexpressed in TECs.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Kidneys
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Not checked — no full text of the sourcecites [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
- Not checked — no full text of the sourcecites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Adipose tissue
What the sources say
- Partly supportedcites [128] Shirakawa, K. et al. Obesity accelerates T cell senescence in murine visceral adipose tissue. J. Clin. Invest. 126, 4626–4639 (2016). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Adipose tissue
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Kidneys
What the sources say
- Partly supportedcites [140] Cohen, C. et al. Glomerular endothelial cell senescence drives age-related kidney disease through PAI-1. EMBO Mol. Med. 13, e14146 (2021). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [141] Baker, D. J. et al. Naturally occurring p16Ink4a-positive cells shorten healthy lifespan. Nature 530, 184–189 (2016). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skeleton
What the sources say
- Supportedcites [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
Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Osteocytes have increased SADS with age, in addition to an increase of Cdkn2a, Cdkn1a and Trp53 and numerous SASP transcripts93.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skeleton
What the sources say
- Supportedcites [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 report more SADS-positive osteocytes in old than young mouse bone cortices (Fig. 3A–G). They also report higher osteocyte expression of p16Ink4a (Cdkn2a), p21 (Cdkn1a), and p53 (Trp53) with age (Fig. 2A–C), and higher levels of 23 of 36 SASP genes in old osteocytes (Fig. 4A). (LLM, conf=0.93)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Lungs
What the sources say
- Supportedcites [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
The Results (Fig. 3D; page unavailable) report higher p53 and p21 gene expression in airway smooth muscle cells from elderly people with asthma than in cells from elderly people without asthma or younger controls. The Results (Fig. 3B; page unavailable) also report more airway smooth muscle nuclei containing telomere-associated foci (TAF) in that group. (LLM, conf=0.94)
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“The SenMayo gene panel (Box 3) was generated and validated in bone biopsies from two aged human cohorts84.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skeleton
What the sources say
- Supportedcites [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 Discussion states that the authors generated SenMayo and first validated it in bone biopsies from two human cohorts of young and elderly women. The Results section also reports significant SenMayo enrichment in bone samples from elderly women in both cohorts. (LLM, conf=0.94)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Pancreas
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skeleton
What the sources say
- Supportedcites [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
The Results section (‘Targeted removal of p21‐, but not p16‐expressing senescent cells prevents radiation‐induced bone loss’) reports that clearing p21-expressing cells prevented bone-density loss after irradiation of the right femur, whereas clearing p16-expressing cells did not. The Discussion describes distinct roles for the two cell populations, consistent with the sentence’s suggestion of functional heterogeneity. The supplied passages do not give page numbers. (LLM, conf=0.93)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Lungs
What the sources say
- Supportedcites [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
The paper’s title identifies a mouse model of Bmi-1 deficiency, and the Discussion reports that this deficiency activated TGF-β1/IL-11/MEK/ERK signaling leading to senescence-associated pulmonary fibrosis. It also reports that IL-11 mediated TGF-β1’s effects on lung-cell senescence through MEK/ERK signaling. The finding is specific to that model. (LLM, conf=0.94)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Whether osteoclasts also undergo senescence remains unclear, although elimination of CDKN2A-expressing osteoclast progenitors did not attenuate age-related bone loss in mice198.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skeleton
What the sources say
- Supportedcites [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
The Abstract reports that eliminating p16-expressing osteoclast progenitors in mice had no effect on age-related bone loss. This supports the finding attributed to the paper; the statement about whether osteoclasts themselves undergo senescence is the citing authors’ framing, not the result cited. (LLM, conf=0.91)
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Osteoblast progenitors and osteoblasts exhibit a significant increase of Cdkn2a, in addition to an increase of a limited number of SASP factors93.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skeleton
What the sources say
- Supportedcites [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 unavailable) report significantly higher p16Ink4a expression with aging in mouse osteoblast progenitors and osteoblasts. The Results also report that relatively few SASP factors changed significantly with aging in those cell populations. (LLM, conf=0.91)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Pancreas
What the sources say
- Supportedcites [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
In “Senescent β-Cells Exhibited a Unique Secretory Phenotype,” the paper describes proteomic analysis of conditioned media from senescent mouse and human β-cells, with primary islet cells sorted into β-gal-positive and β-gal-negative populations. It reports that this analysis defined a β-cell SASP protein signature. (LLM, conf=0.93)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skeleton
What the sources say
- Partly supportedcites [200] Saul, D. et al. Modulation of fracture healing by the transient accumulation of senescent cells. eLife 10, e69958 (2021). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“This expression pattern correlates with lower MKI67 expression and only slightly with telomere length reduction210.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skin
What the sources say
- Supportedcites [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
The Results section on proliferation reports an inverse correlation between H2A.J-positive and Ki67-positive epidermal cells. The paper also reports only slight age-related telomere attrition and, in the Discussion, a much more pronounced age-related increase in H2A.J-positive keratinocytes. It does not report a direct correlation coefficient between H2A.J expression and telomere length, but the claim is consistent with its reported pattern. (LLM, conf=0.88)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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).”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skin
What the sources say
- Partly supportedcites [223] Alimirah, F. et al. Cellular senescence promotes skin carcinogenesis through p38MAPK and p44/42MAPK signaling. Cancer Res. 80, 3606–3619 (2020). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Placenta
What the sources say
- Supportedcites [247] Velicky, P. et al. Genome amplification and cellular senescence are hallmarks of human placenta development. PLoS Genet. 14, e1007698 (2018). source
Citation 247 is attached to the claim that extravillous trophoblasts display nuclear enlargement; the syncytiotrophoblast claims have separate citations. The Discussion reports that EVT differentiation is associated with a significant increase in nuclear volume. (LLM, conf=0.94)
- Not checked — no full text of the sourcecites [254] Wang, Y. et al. SIRT1 regulates trophoblast senescence in premature placental aging in preeclampsia. Placenta 122, 56–65 (2022). source
- Not checked — no full text of the sourcecites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Ovary
What the sources say
- Not checked — no full text of the sourcecites [232] Lemaitre, J. F. & Gaillard, J. M. Reproductive senescence: new perspectives in the wild. Biol. Rev. Camb. Philos. Soc. 92, 2182–2199 (2017). source
- Supportedcites [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
The Introduction says the ovary ages earlier than other parts of the female body and that accelerated follicle depletion after about age 31 leads to a gradual loss of fecundity. It also describes menopause as natural sterility, supporting the claim that reproductive function ends then. The Abstract places the onset of fertility decline after age 37, so “midthirties” is an approximation rather than the paper’s precise age. (LLM, conf=0.88)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skin
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
- Supportedcites [215] Farsam, V. et al. Senescent fibroblast-derived Chemerin promotes squamous cell carcinoma migration. Oncotarget 7, 83554–83569 (2016). source
The citation is attached to the chemerin clause, not the preceding list of classical SASP factors. In the Results section, the paper reports increased chemerin secretion from senescent dermal fibroblasts and more chemerin-positive fibroblasts in aged human skin than in young skin. (LLM, conf=0.92)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skin
What the sources say
- Not checked — no full text of the sourcecites [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
- Supportedcites [214] Schafer, M. J. et al. The senescence-associated secretome as an indicator of age and medical risk. JCI Insight 5, e133668 (2020). source
The Introduction (page unavailable) reports that circulating SASP proteins were associated with age, frailty and adverse postsurgical outcomes, and identifies a seven-factor panel that predicted adverse events. The results (page unavailable) also associate TNF-α with frailty. The paper measures circulating protein concentrations rather than cellular expression; the separate claim about 27 fibroblast proteins carries a different citation. (LLM, conf=0.87)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
Every source the paper cites for this claim was checked and supports it.
In the paper
“The expression of TNFRSF11A increases during ageing228, leading to DNA damage and senescence through Cdkn2a (ref. 229).”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Mammary gland
What the sources say
- Supportedcites [228] Pellegrini, P. et al. Constitutive activation of RANK disrupts mammary cell fate leading to tumorigenesis. Stem Cell 31, 1954–1965 (2013). source
The citation to this paper is attached to the first clause, about TNFRSF11A (RANK) expression increasing with age. In “RANK Expression Increases with Age and Multiparity in WT Mice,” the paper reports higher Rank mRNA in mammary glands of aged than young virgin mice. The DNA-damage and senescence clause has a separate citation and is not attributed to this source. (LLM, conf=0.92)
- Supportedcites [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
The Results section reports that Rank overexpression induces DNA damage and senescence through p16/p19 in mammary epithelial cells and fibroblasts, and identifies p16/p19 as products of the Cdkn2a locus. The increase in expression during ageing is attached to a different citation (228), not this source (229). (LLM, conf=0.92)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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).”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skin
What the sources say
- Supportedcites [213] Victorelli, S. et al. Senescent human melanocytes drive skin ageing via paracrine telomere dysfunction. EMBO J. 38, e101982 (2019). source
The Results (page unavailable) describe sun-protected skin biopsies and report that p16-positive epidermal cells were melanocytes; p16 is encoded by CDKN2A. They also report reduced HMGB1 in melanocytes from older donors and increased melanocyte TAF with age. The Discussion (page unavailable) describes melanocytes as the main population of p16-positive senescent epidermal cells. (LLM, conf=0.88)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Ovary
What the sources say
- Supportedcites [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 (‘Ligand-receptor interactions between different cell types in the FT and ovary’) reports CCL and CXCL gene expression in ovarian immune cells and describes a potential, not demonstrated, reversal of deleterious senescence effects. The Discussion repeats this interpretation. The citing sentence preserves that uncertainty. (LLM, conf=0.94)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Ovary
What the sources say
- Not matchedcites [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.
- Supportedcites [243] Gao, Y. et al. Increased cellular senescence in doxorubicin-induced murine ovarian injury: effect of senolytics. GeroScience 45, 1775–1790 (2023). source
Reference 243 is attached to doxorubicin, while reference 242 is attached to cisplatin. The Results section reports increased ovarian SA-β-gal positivity and significantly elevated Cdkn2a and Cdkn1a mRNA after doxorubicin treatment. The Introduction also describes doxorubicin-related ovarian injury, including early menopause. Page numbers are not provided in our copy. (LLM, conf=0.93)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Not matched
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skin
What the sources say
- Partly supportedcites [225] Michaloglou, C. et al. BRAFE600-associated senescence-like cell cycle arrest of human naevi. Nature 436, 720–724 (2005). sourceExperimental — accuracy not yet measured
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)
- Not checked — no full text of the sourcecites [226] Pollock, P. M. et al. High frequency of BRAF mutations in nevi. Nat. Genet. 33, 19–20 (2003). source
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Skin
What the sources say
- Partly supportedcites [207] Hudgins, A. D. et al. Age- and tissue-specific expression of senescence biomarkers in mice. Front. Genet. 9, 59 (2018). sourceExperimental — accuracy not yet measured
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)
- Not checked — no full text of the sourcecites [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
- Partly supportedcites [209] Contrepois, K. et al. Histone variant H2A.J accumulates in senescent cells and promotes inflammatory gene expression. Nat. Commun. 8, 14995 (2017). sourceExperimental — accuracy not yet measured
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)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Additionally, the ovary exhibits age-dependent inflammation and fibrosis234–237; however, whether these are associated with senescence has not been conclusively established.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Ovary
What the sources say
- Supportedcites [234] Briley, S. M. et al. Reproductive age-associated fibrosis in the stroma of the mammalian ovary. Reproduction 152, 245–260 (2016). source
The citation is attached to the age-dependent inflammation and fibrosis clause, not the subsequent statement about senescence. The Abstract and Results report increasing ovarian fibrosis and inflammatory markers with reproductive age in mice; the Discussion describes fibrosis coincident with increased inflammation. (LLM, conf=0.91)
- Partly supportedcites [235] Lliberos, C. et al. Evaluation of inflammation and follicle depletion during ovarian ageing in mice. Sci. Rep. 11, 278 (2021). sourceExperimental — accuracy not yet measured
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)
- Supportedcites [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
The Introduction states that the mammalian ovary becomes increasingly fibrotic with age. The Discussion describes an inflammatory response observed in ovaries of advanced reproductive age. The citation is attached to those age-dependent changes, not to the citing authors’ subsequent statement about senescence; page numbers are unavailable in our copy. (LLM, conf=0.88)
- Supportedcites [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
The citation is attached to the statement that ovarian inflammation and fibrosis increase with age, not to the subsequent statement about senescence. The Introduction describes elevated inflammatory status and an extracellular-matrix profile implicating fibrosis in aged ovaries; the Abstract also reports findings consistent with increased ovarian stromal fibrosis with age. The paper concerns mouse ovaries. (LLM, conf=0.91)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Several senescence markers have been reported to increase in the ageing mouse colon in homogenized tissue141.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Colon
What the sources say
- Supportedcites [141] Baker, D. J. et al. Naturally occurring p16Ink4a-positive cells shorten healthy lifespan. Nature 530, 184–189 (2016). source
The section ‘Clearance by ATTAC is partial and tissue selective’ reports that p16Ink4a and multiple senescence markers increased with age across the tissues examined, explicitly including colon (Extended Data Fig. 3a). The Extended Data caption describes RT-PCR measurements in colon tissue, consistent with the claim’s tissue-level measurement rather than a cell-specific assay; the copy does not explicitly use the word ‘homogenized.’ (LLM, conf=0.93)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Placenta
What the sources say
- Could not verifycites [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). sourceExperimental — accuracy not yet measured
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)
- Not checked — no full text of the sourcecites [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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Could not verify
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Placenta
What the sources say
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Placenta
What the sources say
- Partly supportedcites [257] Menon, R. Human fetal membranes at term: dead tissue or signalers of parturition? Placenta 44, 1–5 (2016). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [258] Bonney, E. A. et al. Differential senescence in feto-maternal tissues during mouse pregnancy. Placenta 43, 26–34 (2016). sourceExperimental — accuracy not yet measured
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)
- Not checked — no full text of the sourcecites [259] Cox, L. S. & Redman, C. The role of cellular senescence in ageing of the placenta. Placenta 52, 139–145 (2017). source
- Not checked — no full text of the sourcecites [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
- Partly supportedcites [261] Menon, R. et al. Placental membrane aging and HMGB1 signaling associated with human parturition. Aging 8, 216–230 (2016). sourceExperimental — accuracy not yet measured
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)
- Partly supportedcites [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). sourceExperimental — accuracy not yet measured
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)
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Introduction
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Importantly, a considerable portion of the literature heavily relies on analyses of homogenized tissue samples, which disregards the unique attributes of distinct cell types.”
§ SenNet recommendations for detecting senescent cells in different tissues > Introduction
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Senescence markers in tissues
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
- 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.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Table 1 features senescence markers documented in our database in three or more tissues.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Senescence markers in tissues
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Collectively, these markers represent six of the nine senescence hallmarks, with the SASP being most represented.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Senescence markers in tissues
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“H2AX is the most utilized marker for assessing the DDR across tissues, followed by telomere length and TAF.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Senescence markers in tissues
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“nuclear changes evidenced by the loss of LMNB1 and nuclear HMGB1 have been documented in 5 and 7 tissues, respectively.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Senescence markers in tissues
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“By contrast, in tissues, these cells are relatively rare and difficult to characterize”
§ SenNet recommendations for detecting senescent cells in different tissues > Abstract
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Abstract
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Therefore, the presence of multiple hallmarks is required to identify senescent cells.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Rests on an assumption: The presence of multiple senescence hallmarks in the same cell is sufficient to identify a senescent cell.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Additionally, our selection criteria focused on publications that evaluated multiple senescence-associated markers.”
§ SenNet recommendations for detecting senescent cells in different tissues > Introduction
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“it is now established that fully differentiated, postmitotic cells can also acquire a senescence phenotype”
§ SenNet recommendations for detecting senescent cells in different tissues > Abstract
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Introduction
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The immune system
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Importantly, the complex heterogeneity of senescence in the ageing mouse and human brain warrants cell type-specific and region-specific characterization.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > The central nervous system
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Kidneys
What the sources say
- Not checked — no full text of the sourcecites [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
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Telomeres are shorter in the cortex but not in the medulla153.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Kidneys
What the sources say
- Not checked — no full text of the sourcecites [153] Melk, A. et al. Telomere shortening in kidneys with age. J. Am. Soc. Nephrol. 11, 444–453 (2000). source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Kidneys
What the sources say
- Not checked — no full text of the sourcecites [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
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Kidneys
What the sources say
- Not checked — no full text of the sourcecites [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
- Not checked — no full text of the sourcecites [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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Pancreas
What the sources say
- Not checked — no full text of the sourcecites [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
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“These findings suggest that senescence is induced in early neoplastic stages and may have a role in preventing the progression of malignancy.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Pancreas
What the sources say
- Not checked — no full text of the sourcecites [197] Miyasaka, Y. et al. Senescence in intraductal papillary mucinous neoplasm of the pancreas. Hum. Pathol. 42, 2010–2017 (2011). source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Placenta
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Conclusions, gaps in knowledge and future directions
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Conclusions, gaps in knowledge and future directions
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Conclusions, gaps in knowledge and future directions
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Hallmarks of cellular senescence > Placenta
What the sources say
- Not checked — no full text of the sourcecites [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
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ SenNet recommendations for detecting senescent cells in different tissues > Conclusions, gaps in knowledge and future directions
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Specifically, we have focused our discussion on senescence markers applied to the identification of senescent cells in individual tissues.”
§ SenNet recommendations for detecting senescent cells in different tissues > Conclusions, gaps in knowledge and future directions
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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).”
§ SenNet recommendations for detecting senescent cells in different tissues > Conclusions, gaps in knowledge and future directions
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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).”
§ SenNet recommendations for detecting senescent cells in different tissues > Conclusions, gaps in knowledge and future directions
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial 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?
The cited source says what the claim attributes to it.
In the citing paper
“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 cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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]
The cited source says what the claim attributes to it.
In the citing paper
“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.”
Citations
Cites
Items 201–306 of 306
Cellular hallmarks of aging emerge in the ovary prior to primordial follicle depletion
Ansere, V. A., Ali-Mondal, S., Sathiaseelan, R., Garcia, D. N., Isola, J. V. V., Henseb, J. D., Saccon, T. D., Ocañas, S. R., Tooley, K. B., Stout, M. B., et al. (2021) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111425 · Cited by 101 · cited 2×
“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 compartment 241 Apart from physiological ageing, treatments that accelerate reproductive ageing through genotoxic…”
Unraveling female reproductive senescence to enhance healthy longevity
Dong, L., Teh, D. B. L., Kennedy, B. K., & Huang, Z. (2023) · Cell Research · doi:10.1038/s41422-022-00718-7 · Cited by 101 · cited 1×
“This ageing process is characterized by a reduction in both quantity and quality of gametes, leading to reproductive senescence 232,233 .”
The role of senescent T cells in immunopathology
Covre, L. P., De Maeyer, R. P. H., Gomes, D. C. O., & Akbar, A. N. (2020) · Aging Cell · doi:10.1111/acel.13272 · Cited by 93
Transition of kidney tubule cells to a senescent phenotype in early experimental diabetes
Satriano, J., Mansoury, H., Deng, A., Sharma, K., Vallon, V., Blantz, R. C., & Thomson, S. C. (2010) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00096.2010 · Cited by 93 · cited 2×
“SERPINE1 drives glomerulosclerosis in early kidney injury in diabetes 140,148 .”
Programmed cell senescence in skeleton during late puberty
Li, C., Chai, Y., Wang, L., Gao, B., Chen, H., Gao, P., Zhou, F.-Q., Luo, X., Crane, J. L., Yu, B., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01509-0 · Cited by 92
Self-citationAge-related GSK3β overexpression drives podocyte senescence and glomerular aging
Fang, Y., Chen, B., Liu, Z., Gong, A. Y., Gunning, W. T., Ge, Y., Malhotra, D., Gohara, A. F., Dworkin, L. D., & Gong, R. (2022) · Journal of Clinical Investigation · doi:10.1172/jci141848 · Cited by 92 · cited 1×
“Senescent glomerular endothelial cells overexpress CDKN1A, the DNA damage markers TP53BP1 and γH2AX, and SERPINE1 140,142,143 .”
IL-33 causes thermogenic failure in aging by expanding dysfunctional adipose ILC2
Goldberg, E. L., Shchukina, I., Youm, Y., Ryu, S., Tsusaka, T., Young, K. C., Camell, C. D., Dlugos, T., Artyomov, M. N., & Dixit, V. D. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.08.004 · Cited by 89 · cited 2×
“Tissue-resident immune cells such as macrophages, type 2 innate lymphoid cells, natural killer cells, B cells and effector memory T cells depend on proliferation to maintain themselves 79 .”
Senescent hepatic stellate cells promote liver regeneration through IL-6 and ligands of CXCR2
Cheng, N., Kim, K.-H., & Lau, L. F. (2022) · JCI Insight · doi:10.1172/jci.insight.158207 · Cited by 87 · cited 1×
“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 injury 163,164 .”
Differential senescence in feto-maternal tissues during mouse pregnancy
Bonney, E. A., Krebs, K., Saade, G., Kechichian, T., Trivedi, J., Huaizhi, Y., & Menon, R. (2016) · Placenta · doi:10.1016/j.placenta.2016.04.018 · Cited by 86
The Association of Aging Biomarkers, Interstitial Lung Abnormalities, and Mortality
Sanders, J. L., Putman, R. K., Dupuis, J., Xu, H., Murabito, J. M., Araki, T., Nishino, M., Benjamin, E. J., Levy, D., Ramachandran, V. S., et al. (2021) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202007-2993oc · Cited by 84 · cited 1×
“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 abnormalities 179 .”
Role of the cGAS-STING Pathway in Aging-related Endothelial Dysfunction
Yu, H., Liao, K., Hu, Y., Lv, D., Luo, M., Liu, Q., Huang, L., & Luo, S. (2022) · Aging and disease · doi:10.14336/ad.2022.0316 · Cited by 84 · cited 1×
“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 mice 63–65 .”
Wu, Z., Uhl, B., Gires, O., & Reichel, C. A. (2023) · Journal of Biomedical Science · doi:10.1186/s12929-023-00915-5 · Cited by 83 · cited 1×
“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 .”
BRAFV600E-induced senescence drives Langerhans cell histiocytosis pathophysiology
Bigenwald, C., Le Berichel, J., Wilk, C. M., Chakraborty, R., Chen, S. T., Tabachnikova, A., Mancusi, R., Abhyankar, H., Casanova-Acebes, M., Laface, I., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01304-x · Cited by 83
Frasca, D. (2018) · Experimental Gerontology · doi:10.1016/j.exger.2017.07.002 · Cited by 82
Local senolysis in aged mice only partially replicates the benefits of systemic senolysis
Farr, J. N., Saul, D., Doolittle, M. L., Kaur, J., Rowsey, J. L., Vos, S. J., Froemming, M. N., Lagnado, A. B., Zhu, Y., Weivoda, M., et al. (2023) · Journal of Clinical Investigation · doi:10.1172/jci162519 · Cited by 81 · cited 2×
“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-citationKhanh, V. C., Zulkifli, A. F., Tokunaga, C., Yamashita, T., Hiramatsu, Y., & Ohneda, O. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.04.136 · Cited by 81
Cerebrovascular Senescence Is Associated With Tau Pathology in Alzheimer's Disease
Bryant, A. G., Hu, M., Carlyle, B. C., Arnold, S. E., Frosch, M. P., Das, S., Hyman, B. T., & Bennett, R. E. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.575953 · Cited by 79 · cited 1×
“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 tissues 112,115 .”
Glomerular endothelial cell senescence drives age‐related kidney disease through PAI‐1
Cohen, C., Le Goff, O., Soysouvanh, F., Vasseur, F., Tanou, M., Nguyen, C., Amrouche, L., Le Guen, J., Saltel‐Fulero, O., Meunier, T., et al. (2021) · EMBO Molecular Medicine · doi:10.15252/emmm.202114146 · Cited by 79 · cited 16×
“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 .”
InfluentialSelf-citationLengyel, E., Li, Y., Weigert, M., Zhu, L., Eckart, H., Javellana, M., Ackroyd, S., Xiao, J., Olalekan, S., Glass, D., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111838 · Cited by 78 · cited 1×
“Moreover, several CCL and CXCL genes are expressed in immune cells of the postmenopausal human ovary, potentially reversing some of the detrimental effects of senescence 246 .”
Klotho Deficiency Accelerates Stem Cells Aging by Impairing Telomerase Activity
Ullah, M., & Sun, Z. (2019) · The Journals of Gerontology: Series A · doi:10.1093/gerona/gly261 · Cited by 77
Transplanting cells from old but not young donors causes physical dysfunction in older recipients
Wang, B., Liu, Z., Chen, V. P., Wang, L., Inman, C. L., Zhou, Y., Guo, C., Tchkonia, T., Rowe, D. W., Kuchel, G. A., et al. (2020) · Aging Cell · doi:10.1111/acel.13106 · Cited by 76 · cited 2×
“Adipose tissue-derived mesenchymal stem cells from older donors (human and mouse) exhibit senescence properties and impaired regenerative potential 123,124 .”
Self-citationRübe, C. E., Bäumert, C., Schuler, N., Isermann, A., Schmal, Z., Glanemann, M., Mann, C., & Scherthan, H. (2021) · npj Aging and Mechanisms of Disease · doi:10.1038/s41514-021-00060-z · Cited by 76 · cited 1×
“This expression pattern correlates with lower MKI67 expression and only slightly with telomere length reduction 210 .”
Fielding, R. A., Atkinson, E. J., Aversa, Z., White, T. A., Heeren, A. A., Achenbach, S. J., Mielke, M. M., Cummings, S. R., Pahor, M., Leeuwenburgh, C., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00685-2 · Cited by 75
Hugdahl, E., Kalvenes, M. B., Puntervoll, H. E., Ladstein, R. G., & Akslen, L. A. (2016) · British Journal of Cancer · doi:10.1038/bjc.2016.44 · Cited by 75 · cited 1×
“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 expression 225–227 .”
Kim, H., Chang, J., Iyer, S., Han, L., Campisi, J., Manolagas, S. C., Zhou, D., & Almeida, M. (2019) · Aging Cell · doi:10.1111/acel.12923 · Cited by 74 · cited 1×
“Whether osteoclasts also undergo senescence remains unclear, although elimination of CDKN2A-expressing osteoclast progenitors did not attenuate age-related bone loss in mice 198 .”
Self-citationCottage, C. T., Peterson, N., Kearley, J., Berlin, A., Xiong, X., Huntley, A., Zhao, W., Brown, C., Migneault, A., Zerrouki, K., et al. (2019) · Communications Biology · doi:10.1038/s42003-019-0532-1 · Cited by 71 · cited 1×
“CDKN2A-mediated senescence has also been shown to modulate the cigarette smoke-mediated senescence response in the mouse model for chronic obstructive pulmonary disease 177,178 .”
The Emergence of Senescent Surface Biomarkers as Senotherapeutic Targets
Rossi, M., & Abdelmohsen, K. (2021) · Cells · doi:10.3390/cells10071740 · Cited by 71 · cited 1×
“Additionally, DPP4, TNFRSF10D (also known as CD264), NOTCH1, NOTCH3, CD36, oxidized vimentin, ICAM1 and uPAR have also been used as markers of senescence 35 , as well as CD274 (refs.”
Modulation of fracture healing by the transient accumulation of senescent cells
Saul, D., Monroe, D. G., Rowsey, J. L., Kosinsky, R. L., Vos, S. J., Doolittle, M. L., Farr, J. N., & Khosla, S. (2021) · eLife · doi:10.7554/elife.69958 · Cited by 71
Self-citationBasisty, N., Kale, A., Patel, S., Campisi, J., & Schilling, B. (2020) · Expert Review of Proteomics · doi:10.1080/14789450.2020.1766976 · Cited by 69 · cited 1×
“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-citationCherry, C., Andorko, J. I., Krishnan, K., Mejías, J. C., Nguyen, H. H., Stivers, K. B., Gray-Gaillard, E. F., Ruta, A., Han, J., Hamada, N., et al. (2023) · GeroScience · doi:10.1007/s11357-023-00785-7 · Cited by 66 · cited 2×
“The expression level of CDKN2A is low, which typically results in a high gene dropout rate of up to 50% 276 .”
Self-citationSirt3 deficiency accelerates ovarian senescence without affecting spermatogenesis in aging mice
Zhu, J., Yang, Q., Li, H., Wang, Y., Jiang, Y., Wang, H., Cong, L., Xu, J., Shen, Z., Chen, W., et al. (2022) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2022.10.324 · Cited by 64 · cited 1×
“In a genetic mouse model of accelerated ovarian ageing, Cdkn2a, Cdkn1a, Il1a and Il1b levels were elevated 244 .”
Adaptive T-cell immunity controls senescence-prone MyD88- or CARD11-mutant B-cell lymphomas
Reimann, M., Schrezenmeier, J., Richter-Pechanska, P., Dolnik, A., Hick, T. P., Schleich, K., Cai, X., Fan, D. N. Y., Lohneis, P., Maßwig, S., et al. (2021) · Blood · doi:10.1182/blood.2020005244 · Cited by 59 · cited 1×
“10,36), PDL2 and MHC class I molecules 37,38 .”
Du, D., Tang, X., Li, Y., Gao, Y., Chen, R., Chen, Q., Wen, J., Wu, T., Zhang, Y., Lu, H., et al. (2022) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2022/9144644 · Cited by 59 · cited 2×
“242,243), Ccl2 (ref.”
Senescent fibroblast-derived Chemerin promotes squamous cell carcinoma migration
Farsam, V., Basu, A., Gatzka, M., Treiber, N., Schneider, L. A., Mulaw, M. A., Lucas, T., Kochanek, S., Dummer, R., Levesque, M. P., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.13446 · Cited by 59
Fatt, M. P., Tran, L. M., Vetere, G., Storer, M. A., Simonetta, J. V., Miller, F. D., Frankland, P. W., & Kaplan, D. R. (2022) · Stem Cell Reports · doi:10.1016/j.stemcr.2021.12.010 · Cited by 58
Wallis, R., Milligan, D., Hughes, B., Mizen, H., López-Domínguez, J. A., Eduputa, U., Tyler, E. J., Serrano, M., & Bishop, C. L. (2022) · Aging · doi:10.18632/aging.204072 · Cited by 58 · cited 2×
“…algorithms such as t -distributed stochastic neighbour embedding and uniform manifold approximation and projection, which are commonly used in the analysis of scRNA-seq datasets, were able to cluster cells based on their morphology and distinguish between different forms of senescence 277 .”
Midha, A., Pan, H., Abarca, C., Andle, J., Carapeto, P., Bonner-Weir, S., & Aguayo-Mazzucato, C. (2021) · Diabetes · doi:10.2337/db20-0553 · Cited by 58 · cited 1×
“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 cells 183 , leading to the description of a unique SASP in β-cells.”
Self-citationDoolittle, M. L., Saul, D., Kaur, J., Rowsey, J. L., Vos, S. J., Pavelko, K. D., Farr, J. N., Monroe, D. G., & Khosla, S. (2023) · Nature Communications · doi:10.1038/s41467-023-40393-9 · Cited by 57 · cited 1×
“…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 markers 56 .”
Self-citationDoolittle, M. L., Saul, D., Kaur, J., Rowsey, J. L., Vos, S. J., Pavelko, K. D., Farr, J. N., Monroe, D. G., & Khosla, S. (2023) · doi:10.1101/2023.01.12.523760 · Cited by 57
Self-citationIncreased cellular senescence in doxorubicin-induced murine ovarian injury: effect of senolytics
Gao, Y., Wu, T., Tang, X., Wen, J., Zhang, Y., Zhang, J., & Wang, S. (2023) · GeroScience · doi:10.1007/s11357-023-00728-2 · Cited by 56 · cited 2×
“242,243), Ccl2 (ref.”
Moore, A. G. (2000) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.85.12.4781 · Cited by 55
Liu, Z., Jin, L., Yang, J., Wang, B., Wu, K. K.-L., Hallenborg, P., Xu, A., & Cheng, K. K. Y. (2018) · Diabetes · doi:10.2337/db18-0684 · Cited by 54
Guan, L., Crasta, K., & Maier, A. B. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101634 · Cited by 54 · cited 1×
“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 .”
Kaur, G., Muthumalage, T., & Rahman, I. (2023) · Aging Cell · doi:10.1111/acel.13850 · Cited by 53 · cited 1×
“CDKN2A-mediated senescence has also been shown to modulate the cigarette smoke-mediated senescence response in the mouse model for chronic obstructive pulmonary disease 177,178 .”
Self-citationConstitutive activation of RANK disrupts mammary cell fate leading to tumorigenesis
Pellegrini, P., Cordero, A., Gallego, M. I., Dougall, W. C., Purificación, M., Pujana, M. A., & Gonzalez-Suarez, E. (2013) · Stem Cells · doi:10.1002/stem.1454 · Cited by 52 · cited 1×
“The expression of TNFRSF11A increases during ageing 228 , leading to DNA damage and senescence through Cdkn2a (ref.”
Wilk, C. M., Cathomas, F., Török, O., Le Berichel, J., Park, M. D., Bigenwald, C., Heaton, G. R., Hamon, P., Troncoso, L., Scull, B. P., et al. (2023) · Immunity · doi:10.1016/j.immuni.2023.11.011 · Cited by 51 · cited 1×
“that circulating senescent myeloid cells drive neurodegeneration and brain inflammation 89 .”
Martini, H., Iacovoni, J. S., Maggiorani, D., Dutaur, M., Marsal, D. J., Roncalli, J., Itier, R., Dambrin, C., Pizzinat, N., Mialet‐Perez, J., et al. (2019) · Aging Cell · doi:10.1111/acel.13015 · Cited by 51 · cited 1×
“(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 factors 61 .”
Self-citationReactive Oxygen Species Detection in Senescent Cells
Victorelli, S. G., & Passos, J. F. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-8931-7_3 · Cited by 50 · cited 1×
“Both intracellular and extracellular ROS can contribute to the induction of senescence and to stabilizing cell cycle arrest 49 .”
Self-citationSIRT1 regulates trophoblast senescence in premature placental aging in preeclampsia
Wang, Y., Zhang, Y., Wu, Y., He, Y., Xiang, J., Huang, J., Lash, G. E., & Li, P. (2022) · Placenta · doi:10.1016/j.placenta.2022.04.001 · Cited by 49 · cited 1×
“Furthermore, extravillous trophoblasts display nuclear enlargement 247 , and syncytiotrophoblasts exhibit characteristics of senescence and ageing, such as increased syncytial knots and fibrinoid deposition 254 and reorganization of their cytoskeleton 255 .”
Jo, K., Bae, G. Y., Cho, K., Park, S. S., Suh, H. J., & Hong, K.-B. (2020) · Antioxidants · doi:10.3390/antiox9090844 · Cited by 48 · cited 1×
“220 –223).”
Timing and cell specificity of senescence drives postnatal lung development and injury
Yao, H., Wallace, J., Peterson, A. L., Scaffa, A., Rizal, S., Hegarty, K., Maeda, H., Chang, J. L., Oulhen, N., Kreiling, J. A., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-35985-4 · Cited by 48 · cited 2×
“Additionally, CDKN1A, p53 and γH2AX are also upregulated in mouse and human lungs upon senescence 168,169 .”
Kim, S., Lahmy, R., Riha, C., Yang, C., Jakubison, B. L., van Niekerk, J., Staub, C., Wu, Y., Gates, K., Dong, D. S., et al. (2015) · Pancreas · doi:10.1097/mpa.0000000000000328 · Cited by 48
C/EBPα deficiency in podocytes aggravates podocyte senescence and kidney injury in aging mice
Zhang, L., Zhou, F., Yu, X., Zhu, Y., Zhou, Y., Liu, J., Liu, Y., Ma, Q., Zhang, Y., Wang, W., et al. (2019) · Cell Death & Disease · doi:10.1038/s41419-019-1933-2 · Cited by 48
Walker, E. M., Cha, J., Tong, X., Guo, M., Liu, J.-H., Yu, S., Iacovazzo, D., Mauvais-Jarvis, F., Flanagan, S. E., Korbonits, M., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109813 · Cited by 48 · cited 13×
“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 .”
InfluentialBiavasco, R., Lettera, E., Giannetti, K., Gilioli, D., Beretta, S., Conti, A., Scala, S., Cesana, D., Gallina, P., Norelli, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24876-1 · Cited by 47
Tourlakis, M. E., Zhang, S., Ball, H. L., Gandhi, R., Liu, H., Zhong, J., Yuan, J. S., Guidos, C. J., Durie, P. R., & Rommens, J. M. (2015) · PLOS Genetics · doi:10.1371/journal.pgen.1005288 · Cited by 47 · cited 1×
“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 190–193 .”
Shen, L., Chen, Y., Cheng, J., Yuan, S., Zhou, S., Yan, W., Liu, J., Luo, A., & Wang, S. (2019) · Journal of Cellular Physiology · doi:10.1002/jcp.28819 · Cited by 44 · cited 1×
“…content, as indicated by accumulation of lipofuscin aggregates (known as ‘aggresomes’) 239 and by SA-β-gal staining in the stromal compartment 241 Apart from physiological ageing, treatments that accelerate reproductive ageing through genotoxic agents, such as the chemothera-peutics…”
Cellular senescence is increased in airway smooth muscle cells of elderly persons with asthma
Aghali, A., Khalfaoui, L., Lagnado, A. B., Drake, L. Y., Teske, J. J., Pabelick, C. M., Passos, J. F., & Prakash, Y. S. (2022) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00146.2022 · Cited by 44 · cited 1×
“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 asthma 174 .”
Self-citationKim, S. R., Zou, X., Tang, H., Puranik, A. S., Abumoawad, A. M., Zhu, X., Hickson, L. J., Tchkonia, T., Textor, S. C., Kirkland, J. L., et al. (2021) · Journal of Cellular Physiology · doi:10.1002/jcp.29940 · Cited by 43 · cited 1×
“Most human renal nephropathies are associated with accelerated cellular senescence 142,145,147,149,154,155 , with CDKN2A being most overexpressed in TECs.”
Bloom, S. I., Tucker, J. R., Lim, J., Thomas, T. G., Stoddard, G. J., Lesniewski, L. A., & Donato, A. J. (2022) · GeroScience · doi:10.1007/s11357-022-00681-6 · Cited by 43 · cited 1×
“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 .”
Qiu, X., Guo, H., Yang, J., Ji, Y., Wu, C., & Chen, X. (2018) · Scientific Reports · doi:10.1038/s41598-018-19828-7 · Cited by 41
Benítez, S., Cordero, A., Santamaría, P. G., Redondo-Pedraza, J., Rocha, A. S., Collado-Solé, A., Jimenez, M., Sanz-Moreno, A., Yoldi, G., Santos, J. C., et al. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.04.022 · Cited by 41 · cited 1×
“229).”
Self-citationSurfaceome analysis of extracellular vesicles from senescent cells uncovers uptake repressor DPP4
Meng, Q., Chen, C., Yang, N., Gololobova, O. A., Shi, C., Dunn, C., Rossi, M. S., Martindale, J. L., Basisty, N., Ding, J., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2219801120 · Cited by 40
Self-citationCohen, C., Mouterde, T., Quéré, D., & Clanet, C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1419315112 · Cited by 40
Ishikawa, A., Omata, W., Ackerman, W. E., Takeshita, T., Vandré, D. D., & Robinson, J. M. (2014) · Cytoskeleton · doi:10.1002/cm.21165 · Cited by 40 · cited 1×
“Furthermore, extravillous trophoblasts display nuclear enlargement 247 , and syncytiotrophoblasts exhibit characteristics of senescence and ageing, such as increased syncytial knots and fibrinoid deposition 254 and reorganization of their cytoskeleton 255 .”
Rubin de Celis, M. F., Garcia-Martin, R., Syed, I., Lee, J., Aguayo-Mazzucato, C., Bonner-Weir, S., & Kahn, B. B. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2206923119 · Cited by 39 · cited 1×
“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 mice 186 .”
Self-citationZhang, K., Anumanthan, G., Scheaffer, S., & Cornelius, L. A. (2019) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2018.05.035 · Cited by 39 · cited 1×
“219 ).”
Trophoblast type-specific expression of senescence markers in the human placenta
Higuchi, S., Miyamoto, T., Kobara, H., Yamada, S., Asaka, R., Kikuchi, N., Kashima, H., Ohira, S., & Shiozawa, T. (2019) · Placenta · doi:10.1016/j.placenta.2019.06.377 · Cited by 38 · cited 1×
“…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 tissue…”
Rouillard, M. E., Hu, J., Sutter, P. A., Kim, H. W., Huang, J. K., & Crocker, S. J. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.833186 · Cited by 35 · cited 1×
“Its extracellular presence serves as a signal of cellular stress or damage for immune cells 33 .”
H3K9me3-mediated epigenetic regulation of senescence in mice predicts outcome of lymphoma patients
Schleich, K., Kase, J., Dörr, J. R., Trescher, S., Bhattacharya, A., Yu, Y., Wailes, E. M., Fan, D. N.-Y., Lohneis, P., Milanovic, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17467-z · Cited by 35
Mitochondrial transformations in the aging human placenta
Bartho, L. A., Fisher, J. J., Cuffe, J. S. M., & Perkins, A. V. (2020) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00354.2020 · Cited by 32
Sun, J. K., Wu, D., Wong, G. C., Lau, T. M., Yang, M., Hart, R. P., Kwan, K. M., Chan, H. Y. E., & Chow, H. (2023) · Aging Cell · doi:10.1111/acel.13772 · Cited by 32 · cited 1×
“…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 .”
Shin, J.-W., Lee, E., Han, S., Choe, S.-A., & Jeon, O. H. (2022) · Rejuvenation Research · doi:10.1089/rej.2022.0024 · Cited by 31 · cited 2×
“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 .”
Xiaofei, Y., Tingting, L., Xuan, W., & Zhiyi, H. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.1043474 · Cited by 31 · cited 1×
“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 disease 175,176 .”
Biological processes in solar lentigo: insights brought by experimental models
Goorochurn, R., Viennet, C., Granger, C., Fanian, F., Varin‐Blank, N., Roy, C. L., & Humbert, P. (2016) · Experimental Dermatology · doi:10.1111/exd.12937 · Cited by 30 · cited 14×
“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 .”
InfluentialDermal Fibroblast CCN1 Expression in Mice Recapitulates Human Skin Dermal Aging
Quan, T., Xiang, Y., Liu, Y., Qin, Z., Yang, Y., Bou-Gharios, G., Voorhees, J. J., Dlugosz, A. A., & Fisher, G. J. (2021) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2020.07.019 · Cited by 30
Iterative Indirect Immunofluorescence Imaging (4i) on Adherent Cells and Tissue Sections
Kramer, B. A., del Castillo, J. S., Pelkmans, L., & Gut, G. (2023) · BIO-PROTOCOL · doi:10.21769/bioprotoc.4712 · Cited by 29 · cited 1×
“We recommend using higher-plex, latest-generation immunostaining techniques such as iterative indirect immunofluorescence imaging (4i) (~80-plex) 299 and co-detection by indexing (CODEX) (>100-plex) 300 to capture the heterogeneity of senescent cells in tissue based on their proteomics profiles.”
Dong, Q., Gao, H., Shi, Y., Zhang, F., Gu, X., Wu, A., Wang, D., Chen, Y., Bandyopadhyay, A., Yeh, I.-T., et al. (2016) · Aging · doi:10.18632/aging.101082 · Cited by 29 · cited 3×
“Expression of Cdkn2a is upregulated ~20-fold in mammary stromal cells of aged (25–32 months) mice 230 .”
InfluentialDeletion of Nrip1 Extends Female Mice Longevity, Increases Autophagy, and Delays Cell Senescence
Wang, J., Chen, X., Osland, J. M., Gerber, S. D., Luan, C., Delfino, K. R., Goodwin, L. O., & Yuan, R. (2018) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx257 · Cited by 28
Self-citationp16-3MR: A Novel Model to Study Cellular Senescence in Cigarette Smoke-Induced Lung Injuries
Kaur, G., Sundar, I. K., & Rahman, I. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094834 · Cited by 27
Self-citationp21 WAF1 /Cip1 limits senescence and acinar‐to‐ductal metaplasia formation during pancreatitis
Grabliauskaite, K., Hehl, A. B., Seleznik, G. M., Saponara, E., Schlesinger, K., Zuellig, R. A., Dittmann, A., Bain, M., Reding, T., Sonda, S., et al. (2015) · The Journal of Pathology · doi:10.1002/path.4440 · Cited by 27 · cited 1×
“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 190–193 .”
Wei, Z., Guo, H., Qin, J., Lu, S., Liu, Q., Zhang, X., Zou, Y., Gong, Y., & Shao, C. (2018) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2018.10.457 · Cited by 25
Kong, S., Lv, L., Guo, J., Yang, X., Liao, M., Zhao, T., Sun, H., Zhang, S., & Li, W. (2023) · Drug Design, Development and Therapy · doi:10.2147/dddt.s391812 · Cited by 24
Moreno‐Navarrete, J. M., Moreno, M., Vidal, M., Ortega, F. J., Ricart, W., & Fernández‐Real, J. M. (2015) · Obesity · doi:10.1002/oby.20999 · Cited by 24
Alpha cell dysfunction in type 1 diabetes is independent of a senescence program
Brawerman, G., Ntranos, V., & Thompson, P. J. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.932516 · Cited by 24
Zhong, W., Chen, W., Liu, Y., Zhang, J., Lu, Y., Wan, X., Qiao, Y., Huang, H., Zeng, Z., Li, W., et al. (2022) · The FASEB Journal · doi:10.1096/fj.202200406rr · Cited by 23 · cited 2×
“Similarly, senescent lung fibroblasts have a pivotal role in the pathogenesis of fibrotic lung diseases 156,172 .”
Kuźnar-Kamińska, B., Mikuła-Pietrasik, J., Witucka, A., Romaniuk, A., Konieczna, N., Rubiś, B., Książek, K., Tykarski, A., & Batura-Gabryel, H. (2018) · Scientific Reports · doi:10.1038/s41598-018-31037-w · Cited by 22 · cited 1×
“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 disease 175,176 .”
Transcriptome analysis of mouse aortae reveals multiple novel pathways regulated by aging
Gao, P., Gao, P., Choi, M., Chegireddy, K., Slivano, O. J., Zhao, J., Zhang, W., & Long, X. (2020) · Aging · doi:10.18632/aging.103652 · Cited by 21
Su, X., Wang, X., Liu, Y., Kong, W., Yan, F., Han, F., Liu, Q., & Shi, Y. (2021) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2020.113720 · Cited by 19 · cited 1×
“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 expression 245 .”
Cellular senescence in normal and adverse pregnancy
Farfán-Labonne, B., Leff-Gelman, P., Pellón-Díaz, G., & Camacho-Arroyo, I. (2023) · Reproductive Biology · doi:10.1016/j.repbio.2023.100734 · Cited by 19 · cited 1×
“The placenta can also undergo accelerated or premature senescence in adverse pregnancy outcomes such as pre-eclampsia and fetal growth restriction 264 .”
Cell-Free Fat Extract Improves Ovarian Function and Fertility in Mice With Advanced Age
Liu, M., Li, W., Zhou, X., Zhou, M., Zhang, W., Liu, Q., Zhang, A., & Xu, B. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.912648 · Cited by 18 · cited 1×
“238–240), Cdkn1a, Serpine1 and Hmgb1 (ref.”
Senescence in intraductal papillary mucinous neoplasm of the pancreas
Miyasaka, Y., Nagai, E., Ohuchida, K., Fujita, H., Nakata, K., Hayashi, A., Mizumoto, K., Tsuneyoshi, M., & Tanaka, M. (2011) · Human Pathology · doi:10.1016/j.humpath.2011.03.007 · Cited by 16
Dong, C., Wang, X., Sun, L., Zhu, L., Yang, D., Gao, S., Zhang, W., Ling, B., Liang, A., Gao, Z., et al. (2022) · Stem Cell Research · doi:10.1016/j.scr.2021.102618 · Cited by 16 · cited 1×
“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 cells 102,105–108 .”
Cellular Senescence, a Novel Area of Investigation for Metastatic Diseases
Faggioli, F., Velarde, M. C., & Wiley, C. D. (2023) · Cells · doi:10.3390/cells12060860 · Cited by 15 · cited 1×
“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 .”
Song, H.-D., Kim, S. N., Saha, A., Ahn, S.-Y., Akindehin, S., Son, Y., Cho, Y. K., Kim, M., Park, J.-H., Jung, Y.-S., et al. (2020) · Aging and disease · doi:10.14336/ad.2019.0810 · Cited by 14
Appropriate expression of P57kip2 drives trophoblast fusion via cell cycle arrest
Song, H.-L., Liu, T., Wang, Y., Li, F., Ruan, L., Adu‐Gyamfi, E. A., Hu, S.-C., Chen, X., Ding, Y., & Fu, L. (2021) · Reproduction · doi:10.1530/rep-20-0638 · Cited by 13
Neretti, N., Evans, S. A., Teo, Y. V., Hinthorn, S. J., Clark, K., Ito, T., & Sedivy, J. M. (2023) · doi:10.59368/agingbio.20230008 · Cited by 13
Self-citationAgeing in human parturition: impetus of the gestation clock in the decidua†
Wijaya, J. C., Khanabdali, R., Georgiou, H. M., & Kalionis, B. (2020) · Biology of Reproduction · doi:10.1093/biolre/ioaa113 · Cited by 12
Platelet response to influenza vaccination reflects effects of aging
Konstorum, A., Mohanty, S., Zhao, Y., Melillo, A., Wyk, B. V., Nelson, A., Tsang, S. W., Blevins, T. P., Belshe, R. B., Chawla, D. G., et al. (2023) · Aging Cell · doi:10.1111/acel.13749 · Cited by 12 · cited 1×
“Recent studies in platelets of older people have found increased levels of SELP (CD62P), CD40LG and CD63, suggesting the existence of an age-associated increase in platelet activation, which may be relevant in senescence 80 .”
Self-citationRegulation of p27 and Cdk2 Expression in Different Adipose Tissue Depots in Aging and Obesity
Colón-Mesa, I., Fernández-Galilea, M., Sáinz, N., Lopez-Yus, M., Artigas, J. M., Arbonés-Mainar, J. M., Félix-Soriano, E., Escoté, X., & Moreno-Aliaga, M. J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111745 · Cited by 9
Hu, C., Yin, L., Chen, Z., Waldron, R. T., Lugea, A., Lin, Y., Zhai, X., Wen, L., Han, Y.-P., Pandol, S. J., et al. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.11.031 · Cited by 8 · cited 1×
“The same profile was found in individuals with chronic pancreatitis 194 .”
Horiguchi, M., Yoshida, M., Hirata, K., Furuyama, K., Masui, T., Uemoto, S., & Kawaguchi, Y. (2019) · FEBS Letters · doi:10.1002/1873-3468.13504 · Cited by 7
Aschacher, T., Geisler, D., Lenz, V., Aschacher, O., Winkler, B., Schaefer, A.-K., Mitterbauer, A., Wolf, B., Enzmann, F. K., Messner, B., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232415498 · Cited by 6 · cited 2×
“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 .”
Evans, S. A., Teo, Y. V., Clark, K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.16.448710 · Cited by 5 · cited 1×
“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-citationRevisiting sensitivity of senescent cells to BH3 mimetics
Martin, N., Huna, A., Tsalikis, A., et al. (2024) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2024.01.002 · Cited by 4
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3 of the 309 references couldn’t be matched to a known paper.
Cited by
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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
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 188
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 200
Identifying specific functional roles for senescence across cell types
(2024) · doi:10.1016/j.cell.2024.09.021 · Cited by 139
Self-citationWu, Z., Qu, J., & Liu, G.-H. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00775-3 · Cited by 118
Metadata
- 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
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › 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.
A language model drew the claims from the paper on 2026-09-28, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-09-28 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (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 ›
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