Cellular senescence in white matter microglia is induced during ageing in mice and exacerbates the neuroinflammatory phenotype
Open accessAbstract
Cellular senescence, a state of irreversible cell-cycle arrest caused by a variety of cellular stresses, is critically involved in age-related tissue dysfunction in various organs. However, the features of cells in the central nervous system that undergo senescence and their role in neural impairment are not well understood as yet. Here, through comprehensive investigations utilising single-cell transcriptome analysis and various mouse models, we show that microglia, particularly in the white matter, undergo cellular senescence in the brain and spinal cord during ageing and in disease models involving demyelination. Microglial senescence is predominantly detected in disease-associated microglia, which appear in ageing and neurodegenerative diseases. We also find that commensal bacteria promote the accumulation of senescent microglia and disease-associated microglia during ageing. Furthermore, knockout of p16 INK4a , a key senescence inducer, ameliorates the neuroinflammatory phenotype in damaged spinal cords in mice. These results advance our understanding of the role of cellular senescence in the central nervous system and open up possibilities for the treatment of age-related neural disorders.
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TL;DR
Microglia in CNS white matter undergo p16INK4a-associated cellular senescence during ageing and in demyelinating/neurodegenerative mouse models, and this senescence is predominantly found in disease-associated microglia (DAM). Commensal bacteria promote senescent microglia/DAM accumulation, and p16INK4a knockout—especially microglia/macrophage-specific knockout—attenuates the neuroinflammatory phenotype in experimental autoimmune encephalomyelitis (EAE).
Key findings
- Old p16-luc mice showed increased bioluminescence in pons/medulla oblongata, and p16INK4a mRNA/protein was elevated in white matter regions such as corpus callosum and medulla oblongata; p16INK4a-positive cells accumulated in white matter of old but not young mice.
- scRNA-seq of corpus callosum (young, 4,657 cells; old, 6,789 cells; 11,446 total) showed Cdkn2a was abundant mainly in old microglia; sorted old microglia had higher p16INK4a mRNA/protein, and p16INK4a-positive microglia incorporated less EdU than p16INK4a-negative microglia, indicating cell-cycle arrest.
- p16INK4a-positive microglia were primarily DAM: Cdkn2a was highest in DAM-related clusters 6 and 8, observed only in old mice; over 70% of Lgals3-positive DAM were p16INK4a-positive in old corpus callosum; Cd11c-positive microglia highly expressed p16INK4a plus Cd11c, Apoe, and Axl.
- Old germ-free (GF) mice had significantly reduced p16INK4a in medulla oblongata and fewer Cdkn2a-high microglia and p16INK4a-positive DAM than old SPF mice, without a change in total microglia. In EAE, p16 KO mice (WT N = 22, p16 KO N = 14) had attenuated paralysis and reduced demyelination; tamoxifen-treated Cx3cr1-CreERT2:p16flox/flox mice (N = 20 vs non-treated N = 19) also showed alleviation, though less than systemic p16 KO.
Methods
- Mouse models included young/old WT, p16-luc reporter, p16 knockout, Cx3cr1-CreERT2:p16flox/flox microglia/macrophage-specific knockout, GF and SPF mice, EAE, SOD1 G93A ALS mice, PLX3397 treatment, and EdU proliferation assays.
- CNS tissues were analysed by bioluminescence imaging, RT-qPCR, immunoblotting, immunofluorescence/immunohistochemistry, flow cytometry/FACS, single-cell RNA-seq, bulk RNA-seq, and Luxol fast blue staining.
- scRNA-seq data were processed with Cell Ranger, Seurat, DoubletFinder, MAST, Monocle 2, and SCENIC; statistics used two-tailed unpaired Student’s t-test, Mann-Whitney test, or one-way ANOVA with Tukey’s multiple comparison test.
Limitations
- Stated: only one mouse brain per group was analysed by scRNA-seq; tamoxifen-induced p16INK4a knockout was incomplete; effects of commensal bacteria on microglia versus other immune cells could not be fully distinguished; WAM-specific gene clusters were not found; the causal relationship between DAM transition and cellular senescence is not straightforward.
- Evident: scRNA-seq comparisons relied on N = 1 per group, and several histological/functional experiments used small numbers of mice (often 3–4 per group); sex was mixed across experiments (p16-luc and EAE mice female, other mice male); no human data are presented.
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- Findingown data
Cdkn2a-positive microglia are primarily annotated in cluster 7, a DAM-related cluster, in addition to clusters 3, 4 and 8.
“showed that Cdkn2a-positive microglia were primarily annotated in cluster 7 (a DAM-related cluster) in addition to other clusters (clusters 3, 4 and 8) (Fig. 4e, f).”
Quote in the paperNot a substantial claim - Findingown data
p16INK4a-expressing cells are predominantly accumulated in the white matter of old mice but not in that of young mice.
“p16INK4a immunohistochemical staining using a specific antibody (Supplementary Fig. 1d, e) confirmed that the p16INK4a-expressing cells were predominantly accumulated in the white matter of old mice but not in that of young mice (Fig. 1e, Supplementary Fig. 1f, g).”
Quote in the paperSubstantial claim - Findingcitation
Most microglia are primarily separated into three cluster groups characterised by homoeostatic genes, inflammatory cytokines, or DAM-related genes.
“Most microglia were primarily separated into three cluster groups characterised by different sets of transcription factors: clusters expressing homoeostatic genes (Clusters 0, 1 and 3), inflammatory cytokines (Clusters 2, 4, 5 and 7), or DAM-related genes (Clusters 6 and 8)5,7 (Fig. 3d, e, Supplementary Fig. 5a–f).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [5] Krasemann, S. et al. The TREM2-APOE pathway drives the transcriptional phenotype of dysfunctional microglia in neurodegenerative diseases. Immunity 47, 566–581.e9 (2017). source
Not checked in the free run.
- cites [7] Keren-Shaul, H. et al. A unique microglia type associated with restricting development of Alzheimer’s disease. Cell 169, 1276–1290.e17 (2017). source
Not checked in the free run.
- Findingown data
The numbers of p16INK4a-expressing cells, DAM and p16INK4a-positive DAM are significantly lower in old GF mice than in old SPF mice despite no change in the total number of microglia.
“immunostaining analysis revealed that the numbers of p16INK4a-expressing cells, DAM and p16INK4a-positive DAM were significantly lower in old GF mice than those in old SPF mice despite no change in the total number of microglia (Fig. 4k-p).”
Quote in the paperSubstantial claim - Findingown data
In the spinal cord white matter of old mice, about half of the microglia are p16INK4a-positive.
“Immunostaining revealed that in the spinal cord white matter of old mice, about half of the microglia were p16INK4a-positive, and most ( ~ 90%) of the Lgals3-positive DAM were p16INK4a-positive (Fig. 5e–g).”
Quote in the paperSubstantial claim
- Findingown data
p16INK4a-positive microglia in old mouse brains incorporate much less EdU than p16INK4a-negative microglia.
“However, p16INK4a-positive microglia in old mouse brains incorporated much less EdU than p16INK4a-negative microglia.”
Quote in the paperSubstantial claim - Findingown data
Bulk RNA-seq of FACS-sorted microglia shows that DAM- and cell cycle-related gene expressions are suppressed in microglia of old GF mice compared to old SPF mice.
“bulk RNA-seq analysis performed on FACS-sorted microglia further supported that DAM- and cell cycle-related gene expressions were suppressed in the microglia of old GF mice compared to old SPF mice (Supplementary Fig. 8a-e).”
Quote in the paperSubstantial claim - Findingown data
Increased p16INK4a and Il1b expression is observed in old spinal cords.
“Increased p16INK4a and Il1b (an inflammatory SASP factor) expression was also observed (Fig. 5c, d).”
Quote in the paperSubstantial claim - Findingcitation
Senescent DAM accumulation in the spinal cord is observed in the paralysis phase in SOD1 G93A mice.
“Furthermore, senescent DAM accumulation in the spinal cord was observed in the paralysis phase in SOD1 G93A mice47, recapitulating amyotrophic lateral sclerosis (ALS) pathogenesis (Supplementary Fig. 9a–e).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] Gurney, M. E. et al. Motor neuron degeneration in mice that express a human Cu,Zn superoxide dismutase mutation. Science (80-.). 264, 1772–1775 (1994). source
Not checked in the free run.
- Findingown data
Over 70% of Lgals3-positive DAM are positive for p16INK4a in the corpus callosum of old mice.
“Over 70% of Lgals3-positive DAM were positive for p16INK4a in the corpus callosum of old mice (Fig. 3l).”
Quote in the paperSubstantial claim - Findingown data
In the spinal cord white matter of old mice, most (~90%) Lgals3-positive DAM are p16INK4a-positive.
“Immunostaining revealed that in the spinal cord white matter of old mice, about half of the microglia were p16INK4a-positive, and most ( ~ 90%) of the Lgals3-positive DAM were p16INK4a-positive (Fig. 5e–g).”
Quote in the paperSubstantial claim - Findingown data
In forced microglial proliferation experiments, the number of EdU-positive microglia during repopulation is significantly lower in p16INK4a-positive microglia than in p16INK4a-negative microglia.
“This further confirmed that the number of EdU-positive microglia during repopulation was significantly lower in p16INK4a-positive microglia than in p16INK4a-negative microglia (Supplementary Fig. 4e-g).”
Quote in the paperSubstantial claim - Findingown data
Genes associated with ageing or cellular senescence are strongly expressed in the DAM-related cluster.
“Genes associated with ageing or cellular senescence32 were also strongly expressed in the DAM-related cluster (Supplementary Fig. 5g)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Hu, Y. et al. Replicative senescence dictates the emergence of disease-associated microglia and contributes to Aβ pathology. Cell Rep. 35, 109228 (2021). source
Not checked in the free run.
- Findingown data
Expression of SASP factor genes, including Il1b and Cxcl10, is increased in old mice's brain regions where p16INK4a is highly expressed.
“Furthermore, the expression of SASP factor genes, including Il1b and Cxcl10, was also increased, especially in the old mice’s brain regions where p16INK4a was highly expressed (Supplementary Fig. 1b, c).”
Quote in the paperSubstantial claim - Findingown data
p16INK4a mRNA and protein are highly expressed in the brain's white matter regions, such as the corpus callosum and medulla oblongata, in old mice.
“Further evaluation by immunoblotting and RT-qPCR revealed that p16INK4a mRNA and protein were highly expressed in the brain’s white matter regions, such as the corpus callosum and medulla oblongata in old mice (Fig. 1c, d).”
Quote in the paperSubstantial claim - Findingown data
Old p16-luc mice exhibit a marked increase in bioluminescence signal, especially in the pons and medulla oblongata regions, compared to young mice.
“Old p16-luc mice exhibited a marked increase in bioluminescence signal, especially in the pons and medulla oblongata regions, compared to young mice (Fig. 1a, b, Supplementary Fig. 1a).”
Quote in the paperSubstantial claim - Findingown data
p16INK4a-expressing cells are positive for Iba1, a microglial marker.
“immunostaining analysis confirmed that the p16INK4a-expressing cells were positive for Iba1, a microglial marker (Fig. 2h, i).”
Quote in the paperSubstantial claim - Findingown data
Microglia sorted from old mice's brains show higher p16INK4a mRNA and protein expression than those of young mice.
“microglia sorted from the old mice’s brains showed higher p16INK4a mRNA and protein expression than those of young mice (Fig. 2f, g, Supplementary Fig. 3a–c).”
Quote in the paperSubstantial claim - Findingown data
Most DAM express p16INK4a at the EAE peak.
“Notably, p16INK4a-positive microglia and Lgals3-positive DAM accumulated at the EAE peak, and most DAM expressed p16INK4a (Fig. 5h–j).”
Quote in the paperSubstantial claim - Findingown data
p16INK4a expression is significantly reduced in the medulla oblongata of old germ-free mice compared to old specific-pathogen-free mice.
“we first compared p16INK4a expression in the medulla oblongata of the old mice, raised under specific pathogen-free (SPF) or germ-free (GF) conditions, and found that p16INK4a expression was significantly reduced in the medulla oblongata of old GF mice (Fig. 4a).”
Quote in the paperSubstantial claim - Findingown data
The composition of the major microglia subset in old mice shows a different pattern from that in young mice.
“The composition of the major microglia subset in the old mice showed a different pattern from that in the young mice (Fig. 3a-c).”
Quote in the paperSubstantial claim - Findingown data
Bioluminescence signal is markedly increased in old mice's spinal cords.
“Analysis using p16-luc mice confirmed that the bioluminescence signal markedly increased in the old mice’s spinal cords (Fig. 5a, b).”
Quote in the paperSubstantial claim - Findingown data
p16INK4a and Lgals3 are frequently co-expressed in Iba1-positive microglia.
“Immunostaining analysis also confirmed that p16INK4a and Lgals3, another DAM marker, were frequently co-expressed in Iba1-positive microglia (Fig. 3j, k).”
Quote in the paperSubstantial claim - Findingown data
γH2AX levels increase in old mice's microglia.
“the γH2AX levels (another cellular senescence marker) increased in the old mice’s microglia (Supplementary Fig. 3d)”
Quote in the paperSubstantial claim - Findingown data
Cd11c-positive microglia highly express p16INK4a and DAM-related genes, including Cd11c, Apoe and Axl, compared with Cd11c-negative microglia.
“Cd11c-positive microglia highly expressed p16INK4a in addition to various DAM-related genes, including Cd11c, Apoe and Axl, compared with Cd11c-negative microglia (Fig. 3i).”
Quote in the paperSubstantial claim - Findingown data
More cells with high expression of Cdkn2a or DAM-related genes are observed in old SPF mice than in old GF mice.
“More cells with high expression of Cdkn2a or DAM-related genes were observed in old SPF mice than in old GF mice (Fig. 4g-j, Supplementary Fig. 7f-n).”
Quote in the paperSubstantial claim - Findingown data
Cd4+ T cell infiltration is significantly reduced in the spinal cords of p16 KO mice during the EAE acute phase.
“In the spinal cords of p16 KO mice, Cd4+ T cell infiltration was significantly reduced during the EAE acute phase (Supplementary Fig. 10a–k), as was the demyelination progression (Fig. 5n, o).”
Quote in the paperSubstantial claim - Findingown data
There is a difference in phenotype intensity between systemic p16-KO mice and microglia/macrophage-specific p16-KO mice.
“We found that there is a difference in phenotype intensity between systemic p16-KO mice and microglia/macrophage-specific p16-KO mice (Fig. 5k, p).”
Quote in the paperNot a substantial claim - Findingown data
Demyelination progression is reduced in the spinal cords of p16 KO mice.
“In the spinal cords of p16 KO mice, Cd4+ T cell infiltration was significantly reduced during the EAE acute phase (Supplementary Fig. 10a–k), as was the demyelination progression (Fig. 5n, o).”
Quote in the paperSubstantial claim - Findingown data
Not all DAM are senescent microglia.
“However, our results indicate that although senescent microglia are present in DAM, not all DAM are senescent microglia; some senescent microglia are not classified as DAM (Figs. 3k, 4o, 5f, 5i, Supplementary Fig. 9d).”
Quote in the paperSubstantial claim - Findingown data
Blockade of cellular senescence does not significantly decrease the Cd11c-positive DAM number.
“Furthermore, blockade of cellular senescence did not significantly decrease the Cd11c-positive DAM number (Supplementary Fig. 10b).”
Quote in the paperSubstantial claim - Findingown data
Some senescent microglia are not classified as DAM.
“However, our results indicate that although senescent microglia are present in DAM, not all DAM are senescent microglia; some senescent microglia are not classified as DAM (Figs. 3k, 4o, 5f, 5i, Supplementary Fig. 9d).”
Quote in the paperSubstantial claim - Findingown data
The degree of paralysis in EAE mice is significantly attenuated in p16 KO mice compared to WT mice.
“In contrast to WT mice, the degree of paralysis in EAE mice was significantly attenuated in p16 KO mice (Fig. 5k–m).”
Quote in the paperSubstantial claim - Findingown data
Clusters expressing WAM-specific genes were not found in the scRNA-seq analysis.
“Although we could not find clusters expressing WAM-specific genes in our scRNA-seq analysis (Supplementary Fig. 13)”
Quote in the paperNot a substantial claim - Findingown data
The proportion of Cdkn2a-expressing T-cells is increased in the white matter of aged mice.
“Interestingly, our data showed that the proportion of Cdkn2a-expressing T-cells was increased in the white matter of aged mice (Supplementary Fig. 2f)”
Quote in the paperNot a substantial claim - Interpretationown data
Microglia expressing DAM-related genes have a senescent signature in the white matter of old mice.
“indicating that microglia expressing DAM-related genes have a senescent signature in the white matter of old mice.”
Quote in the paperSubstantial claim - Interpretationown data
Cellular senescence is induced in microglia in the white matter during ageing.
“These results, together with the observation that the γH2AX levels (another cellular senescence marker) increased in the old mice’s microglia (Supplementary Fig. 3d), indicated that cellular senescence is induced in the microglia in the white matter during ageing.”
Quote in the paperSubstantial claim - Interpretationown data
Microglial senescence is predominantly induced in DAM.
“Microglial senescence is predominantly induced in DAM (Figs. 3l, 4p, 5g, 5j, Supplementary Fig. 9e)”
Quote in the paperSubstantial claim - Interpretationown data
Microglia in the white matter represent the main cell type that undergoes cellular senescence in the CNS during ageing and EAE.
“We demonstrated that microglia in the white matter represent the main cell type that undergoes cellular senescence in the CNS during ageing and EAE.”
Quote in the paperSubstantial claim - Premisecitation
Microglia with high p16 promoter activity exhibit signatures associated with cytokine production and T cell infiltration.
“Moreover, microglia with high p16 promoter activity exhibited signatures associated with cytokine production and T cell infiltration37.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] Talma, N., Gerrits, E., Wang, B., Eggen, B. J. L. & Demaria, M. Identification of distinct and age-dependent p16High microglia subtypes. Aging Cell 20, 1–13 (2021). source
Not checked in the free run.
- Interpretationown data
The induction of DAM and cellular senescence is influenced by commensal bacteria.
“We have also shown, by comparing GF and SPF mice, that the induction of DAM and cellular senescence is influenced by commensal bacteria (Supplementary Fig. 12).”
Quote in the paperNot a substantial claim- Rests on an assumption: Differences in microglial senescence between germ-free and specific-pathogen-free mice are attributable to commensal bacteria rather than to other differences between the husbandry conditions.
- Interpretationown data
It is unlikely that the mechanisms that lead to DAM are the same as those that cause cellular senescence.
“It is therefore unlikely that the mechanisms that lead to DAM are the same as those that cause cellular senescence.”
Quote in the paperSubstantial claim - Interpretationown data
The DAM transition and cellular senescence processes are independent of each other.
“However, these two processes are independent of each other.”
Quote in the paperSubstantial claim - Interpretationreasoning
Common triggers can lead to a parallel transition from homoeostatic microglia to DAM and cellular senescence in ageing and diseased states.
“These findings suggest that common triggers can lead to a parallel transition from homoeostatic microglia to DAM and cellular senescence in ageing and diseased states.”
Quote in the paperSubstantial claim - Interpretationown data
Microglial senescence is mostly observed in the white matter DAM.
“Notably, microglial senescence was mostly observed in the white matter DAM.”
Quote in the paperSubstantial claim - Interpretationown data
Suppression of senescence induction by knockout of the p16INK4a gene in microglia ameliorates the neural impairment phenotype in the EAE model.
“Suppression of senescence induction by knockout of the p16INK4a gene in microglia ameliorated the neural impairment phenotype in the EAE model (Fig. 5p-r).”
Quote in the paperSubstantial claim
- May combine two claims. 14
- Classified as probably not a substantial claim. 15
May combine two claims.
Findingown dataCdkn2a is particularly highly expressed in the DAM-related cluster (clusters 6 and 8), observed only in old mice.
“Amongst the three cluster groups, Cdkn2a was particularly highly expressed in the DAM-related cluster (clusters 6 and 8), observed only in old mice (Fig. 3f–h)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn scRNA-seq of the corpus callosum, cells expressing Cdkn2a, encoding p16INK4a, are abundant in the white matter of old mice, mainly in microglia.
“revealed that cells expressing Cdkn2a, encoding p16INK4a, were abundant in the white matter of old mice, mainly in the microglia (Fig. 2b–e, Supplementary Fig. 2a–h)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown datap16INK4a-positive microglia and Lgals3-positive DAM accumulate at the EAE peak.
“Notably, p16INK4a-positive microglia and Lgals3-positive DAM accumulated at the EAE peak, and most DAM expressed p16INK4a (Fig. 5h–j).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSignificant alleviation of the EAE phenotype is observed in MG-p16 KO mice treated with tamoxifen, although not to the extent observed in systemic p16 KO mice.
“Significant alleviation of the EAE phenotype was observed in MG-p16 KO mice treated with tamoxifen, although not to the extent observed in systemic p16 KO mice (Fig. 5p-r).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataMicroglial senescence occurs throughout the CNS under ageing and diseased conditions and is predominantly induced in CNS white matter DAM.
“These results indicated that microglial senescence occurs throughout the CNS under ageing and diseased conditions and is predominantly induced in the CNS white matter DAM.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown datap16INK4a-positive senescent microglia that accumulate in the brain with age exhibit features associated with DAM, and most DAM are senescent in old mice's brains.
“These results indicated that p16INK4a-positive senescent microglia, which accumulate in the brain with age, exhibit features associated with DAM, and most DAM are senescent in the old mice’s brains.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown datap16INK4a-positive microglia are senescent and accumulate in the brain during ageing.
“These results indicated that p16INK4a-positive microglia are senescent and accumulate in the brain during ageing.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataDAM-related clusters are the most developed, and microglial senescence is dependent on the development of a microglial state.
“Pseudotime analysis of single-cell trajectories in Monocle 2 showed that each cluster was connected by a curve, suggesting that DAM-related clusters are the most developed and that microglial senescence is dependent on the development of a microglial state (Supplementary Fig. 5i-l).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataCommensal bacteria promote the induction of age-related DAM and CNS microglial senescence.
“Collectively, these data suggest that commensal bacteria promote the induction of age-related DAM and CNS microglial senescence.”
Quote in the paperSubstantial claim- Rests on an assumption: Differences in microglial senescence between germ-free and specific-pathogen-free mice are attributable to commensal bacteria rather than to other differences between the husbandry conditions.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenUncropped and unedited immunoblot images are included as Supplementary Fig. 14.
“Uncropped and unedited blot images are included as Supplementary Fig. 14.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenMicrobiota affect immune cells throughout the body, making it difficult to distinguish the effects of commensal bacteria on microglia and immune cells.
“However, microbiota are also known to affect immune cells throughout the body, making it difficult to distinguish the effects of commensal bacteria on microglia and immune cells.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent bulk analyses of microglia show increased expression of senescence markers, including p16INK4a and p21Waf1/Cip1, in old mouse brains or the ALS rat model spinal cord.
“Recent reports analysing microglia in bulk have shown increased expression of senescence markers, including p16INK4a and p21Waf1/Cip1, in old mouse brains50 or the ALS rat model spinal cord51.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [50] Ritzel, R. M. et al. Old age increases microglial senescence, exacerbates secondary neuroinflammation, and worsens neurological outcomes after acute traumatic brain injury in mice. Neurobiol. Aging 77, 194–206 (2019). source
Not checked in the free run.
- cites [51] Trias, E. et al. Emergence of microglia bearing senescence markers during paralysis progression in a rat model of inherited ALS. Front. Aging Neurosci. 10, 1–14 (2019). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationscRNA-seq analysis of old mouse brains revealed that microglia are the primary cells expressing a reporter driven by the p16 promoter.
“Moreover, scRNA-seq analysis of old mouse brains revealed that microglia are the primary cells expressing a reporter driven by the p16 promoter37.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] Talma, N., Gerrits, E., Wang, B., Eggen, B. J. L. & Demaria, M. Identification of distinct and age-dependent p16High microglia subtypes. Aging Cell 20, 1–13 (2021). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningAll samples were treated with TrueBlack Lipofuscin Autofluorescence Quencher to avoid lipofuscin autofluorescence, especially in old mouse brain.
“To avoid autofluorescence by lipofuscin especially in old mouse brain, all samples were treated with 1:40 of TrueBlack® Lipofuscin Autofluorescence Quencher (Cosmo Bio, Japan, cat#: 23007) in 70% ethanol for 1 min at RT after incubation with 2nd antibodies.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitationp16INK4a deletion in bone marrow-derived macrophages leads to a reduction in pro-inflammatory signalling.
“p16INK4a deletion in bone marrow-derived macrophages is reported to lead to a reduction in pro-inflammatory signalling53.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53] Cudejko, C. et al. p16INK4a deficiency promotes IL-4-induced polarization and inhibits proinflammatory signaling in macrophages. Blood 118, 2556–2566 (2011). source
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Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenCanonical correlation analysis was performed to correct for batch effects between samples with different sequence runs.
“Canonical correlation analysis (CCA) was performed for batch corrections between samples with different sequence runs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGF mice and mice treated with antibiotics exhibit attenuated phenotypes in AD and MS models.
“Moreover, GF mice and mice treated with antibiotics exhibited attenuated phenotypes in AD and MS models56,57”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [56] Mezö, C. et al. Different effects of constitutive and induced microbiota modulation on microglia in a mouse model of Alzheimer’s disease. Acta Neuropathol. Commun. 8, 1–19 (2020). source
Not checked in the free run.
- cites [57] Miyauchi, E. et al. Gut microorganisms act together to exacerbate inflammation in spinal cords. Nature 585, 102–106 (2020). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenBouin's solution was used as a fixative to amplify the nuclei signal of p16INK4a and Iba1.
“Bouin’s solution was used as a fixative to amplify the nuclei signal of p16INK4a and Iba1.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationSuspected doublets were detected with DoubletFinder and excluded from the scRNA-seq analysis.
“To remove suspected doublets, DoubletFinder (v2.0.3)63 was applied and detected doublets were excluded from the analysis.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] McGinnis, C. S., Murrow, L. M. & Gartner, Z. J. DoubletFinder: Doublet detection in single-cell RNA sequencing data using artificial nearest neighbors. Cell Syst. 8, 329–337.e4 (2019). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenDuring head irradiation, the mouse body under the head was shielded by a lead collimator.
“The mouse body under the head was carefully shielded by a lead collimator.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe EAE phenotype is attenuated by inhibiting microglial cellular senescence, suggesting the involvement of senescent microglia and DAM in neurodegenerative spinal cord diseases.
“These results indicated that the EAE phenotype is attenuated by inhibiting microglial cellular senescence, suggesting the involvement of senescent microglia and DAM in neurodegenerative spinal cord diseases.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationReduced oxidative stress and improved mitochondrial dysfunction have been reported in the brain microglia of old GF mice compared to their SPF counterparts.
“Reduced oxidative stress and improved mitochondrial dysfunction were recently reported in the brain microglia of old GF mice compared to their SPF counterparts46.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Mossad, O. et al. Gut microbiota drives age-related oxidative stress and mitochondrial damage in microglia via the metabolite N6-carboxymethyllysine. Nat. Neurosci. 25, 295–305 (2022). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenIn the scRNA-seq analysis, cells containing more than 10% mitochondrial genes, genes observed in fewer than 3 cells, and cells with fewer than 200 expressed genes were excluded.
“Cells that contained >10% of the mitochondrial genes, genes observed in only <3 cells, and cells with <200 expressed genes were excluded from the analysis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll experiments were repeated at least twice independently with similar results.
“All experiments were repeated at least twice independently with similar results.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe present study confirms that microglia undergo cellular senescence by showing high p16INK4a expression and cell-cycle arrest, and extends previous notions by showing that microglial senescence is induced in both the brain and spinal cord by ageing and disease.
“The present study confirms that microglia undergo cellular senescence by showing high p16INK4a expression and cell-cycle arrest, further extending previous notions by elucidating that microglial senescence is induced in both the brain and spinal cord by ageing and disease.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll animals were maintained according to protocols approved by the Committee for the Use and Care of the RIMD.
“All animals were maintained according to the protocols approved by the Committee for the Use and Care of the RIMD.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataAlthough only one mouse brain per group was analysed in the scRNA-seq study, the induction of senescence in microglia was consistently confirmed in various experiments using a significant number of brains from young and old mice.
“Although we only analysed one mouse brain per group in our scRNA-seq study, the induction of senescence in microglia was consistently confirmed in various experiments using a significant number of brains from young and old mice (Figs. 2f-k, 3i-l, 4l, 4n-p, Supplementary Fig. 3c).”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataCommensal bacteria are involved in the induction of DAM and microglial senescence, possibly associated with neural impairment pathogenesis.
“Consistent with these reports, our results suggest that commensal bacteria are involved in the induction of DAM and microglial senescence (Fig. 4g-j, l-p, Supplementary Figs. 7f-n, 8d, e), which is possibly associated with neural impairment pathogenesis.”
Quote in the paperSubstantial claim- Rests on an assumption: Differences in microglial senescence between germ-free and specific-pathogen-free mice are attributable to commensal bacteria rather than to other differences between the husbandry conditions.
The paper relies on this without support.
Differences in microglial senescence between germ-free and specific-pathogen-free mice are attributable to commensal bacteria rather than to other differences between the husbandry conditions.
“we first compared p16INK4a expression in the medulla oblongata of the old mice, raised under specific pathogen-free (SPF) or germ-free (GF) conditions, and found that p16INK4a expression was significantly reduced in the medulla oblongata of old GF mice (Fig. 4a).”
“Collectively, these data suggest that commensal bacteria promote the induction of age-related DAM and CNS microglial senescence.”
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?
Microglial senescence is linked to increased replicative stress with aging and β-amyloid triggered generation of DAM.
“along with evidence linking microglial senescence to increased replicative stress with aging and β-amyloid triggered generation of disease-associated microglia (DAM) [32, 49].”
From Characterisation of premature cell senescence in Alzheimer's disease using single nuclear transcriptomics (2024) · cites this paper as [49]
The Results (p16INK4a-expressing microglia are primarily DAM; page unavailable) find senescence-associated signatures in DAM-related microglia of old mice. But the paper does not establish increased replicative stress with ageing or β-amyloid-triggered DAM generation. Its Discussion (page unavailable) instead says senescence and DAM development can occur in parallel and are independent processes. (LLM, conf=0.85)
Experimental — accuracy not yet measuredMany studies have reported a similar selective incidence of senescence in white matter cell types of the aged brain in animal models.
“many studies have reported a similar selective incidence of senescence in white matter cell types of the aged brain in animal models.93,94,95,96”
From Uncovering the signatures of aging and senescence in the human dorsolateral prefrontal cortex (2026) · cites this paper as [94]
The gut microbiota plays a role in facilitating the transition of microglia to DAM phenotype during aging, as specific-pathogen-free (SPF) aged mice display higher expression of DAM-related genes than GF-aged mice.
“In addition, the gut microbiota plays a role in facilitating the transition of microglia to DAM phenotype during aging, as specific-pathogen-free (SPF) aged mice display higher expression of DAM-related genes than GF-aged mice.192”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [192]
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.
Single-cell experiments are described as both unreplicated and repeated
MinorThe discussion says only one mouse brain per group was analysed for scRNA-seq, whereas the statistics section says all experiments were independently repeated at least twice.
“Although we only analysed one mouse brain per group in our scRNA-seq study,”
“All experiments were repeated at least twice independently with similar results.”
Cites
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453 · see citing works
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520 · see citing works
A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493 · see citing works
McGinnis, C. S., Murrow, L. M., & Gartner, Z. J. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.003 · Cited by 4,521 · see citing works
Motor Neuron Degeneration in Mice that Express a Human Cu,Zn Superoxide Dismutase Mutation
Gurney, M. E., Pu, H., Chiu, A. Y., Dal Canto, M. C., Polchow, C. Y., Alexander, D. D., Caliendo, J., Hentati, A., Kwon, Y. W., Deng, H.-X., et al. (1994) · Science · doi:10.1126/science.8209258 · Cited by 4,143 · see citing works
Host microbiota constantly control maturation and function of microglia in the CNS
Erny, D., Hrabě de Angelis, A. L., Jaitin, D., Wieghofer, P., Staszewski, O., David, E., Keren-Shaul, H., Mahlakoiv, T., Jakobshagen, K., Buch, T., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4030 · Cited by 3,569 · see citing works
Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis
Yona, S., Kim, K.-W., Wolf, Y., Mildner, A., Varol, D., Breker, M., Strauss-Ayali, D., Viukov, S., Guilliams, M., Misharin, A., et al. (2013) · Immunity · doi:10.1016/j.immuni.2012.12.001 · Cited by 3,245 · see citing works
Cellular Senescence: Defining a Path Forward
Gorgoulis, V., Adams, P. D., Alimonti, A., Bennett, D. C., Bischof, O., Bishop, C., Campisi, J., Collado, M., Evangelou, K., Ferbeyre, G., et al. (2019) · Cell · doi:10.1016/j.cell.2019.10.005 · Cited by 3,225 · see citing works
Self-citationFinak, G., McDavid, A., Yajima, M., Deng, J., Gersuk, V., Shalek, A. K., Slichter, C. K., Miller, H. W., McElrath, M. J., Prlic, M., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0844-5 · Cited by 3,159 · see citing works
Krasemann, S., Madore, C., Cialic, R., Baufeld, C., Calcagno, N., El Fatimy, R., Beckers, L., O’Loughlin, E., Xu, Y., Fanek, Z., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.08.008 · Cited by 2,979 · see citing works
Aging, Cellular Senescence, and Cancer
Campisi, J. (2013) · Annual Review of Physiology · doi:10.1146/annurev-physiol-030212-183653 · Cited by 2,954 · cited 1× · see citing works
“Accumulating evidence indicates that cellular senescence leads to a decline in tissue function, associated with ageing and various diseases 11,12 .”
Microglia Function in the Central Nervous System During Health and Neurodegeneration
Colonna, M., & Butovsky, O. (2017) · Annual Review of Immunology · doi:10.1146/annurev-immunol-051116-052358 · Cited by 2,894 · see citing works
Cellular senescence: from physiology to pathology
Muñoz-Espín, D., & Serrano, M. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3823 · Cited by 2,818 · see citing works
A complex secretory program orchestrated by the inflammasome controls paracrine senescence
Acosta, J. C., Banito, A., Wuestefeld, T., Georgilis, A., Janich, P., Morton, J. P., Athineos, D., Kang, T.-W., Lasitschka, F., Andrulis, M., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2784 · Cited by 2,278 · see citing works
Cellular senescence in ageing: from mechanisms to therapeutic opportunities
Di Micco, R., Krizhanovsky, V., Baker, D., & d’Adda di Fagagna, F. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00314-w · Cited by 2,277 · cited 3× · see citing works
“Cellular senescence is de fi ned as irreversible cell-cycle arrest caused by a persistent DNA damage response, activated by various cellular stresses, such as telomere shortening, oncogene activation, excessive oxidative stress and radiation 13,14 .”
Persistent DNA damage signalling triggers senescence-associated inflammatory cytokine secretion
Rodier, F., Coppé, J.-P., Patil, C. K., Hoeijmakers, W. A. M., Muñoz, D. P., Raza, S. R., Freund, A., Campeau, E., Davalos, A. R., & Campisi, J. (2009) · Nature Cell Biology · doi:10.1038/ncb1909 · Cited by 2,232 · see citing works
Obesity-induced gut microbial metabolite promotes liver cancer through senescence secretome
Yoshimoto, S., Loo, T. M., Atarashi, K., Kanda, H., Sato, S., Oyadomari, S., Iwakura, Y., Oshima, K., Morita, H., Hattori, M., et al. (2013) · Nature · doi:10.1038/nature12347 · Cited by 2,219 · see citing works
Self-citationOncogene-Induced Senescence Relayed by an Interleukin-Dependent Inflammatory Network
Kuilman, T., Michaloglou, C., Vredeveld, L. C. W., Douma, S., van Doorn, R., Desmet, C. J., Aarden, L. A., Mooi, W. J., & Peeper, D. S. (2008) · Cell · doi:10.1016/j.cell.2008.03.039 · Cited by 2,086 · cited 1× · see citing works
“In addition to irreversible cell-cycle arrest, mainly coordinated by p16 INK4a and p21 Waf1/Cip1 , senescent cells exhibit a secretory phenotype that releases various in fl ammatory cytokines, chemo-kines and growth factors into their extracellular fl uid 15 – 18 .”
An Essential Role for Senescent Cells in Optimal Wound Healing through Secretion of PDGF-AA
Demaria, M., Ohtani, N., Youssef, S. A., Rodier, F., Toussaint, W., Mitchell, J. R., Laberge, R.-M., Vijg, J., Van Steeg, H., Dollé, M. E. T., et al. (2014) · Developmental Cell · doi:10.1016/j.devcel.2014.11.012 · Cited by 2,045 · see citing works
Self-citationElmore, M. R. P., Najafi, A. R., Koike, M. A., Dagher, N. N., Spangenberg, E. E., Rice, R. A., Kitazawa, M., Matusow, B., Nguyen, H., West, B. L., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.02.040 · Cited by 1,968 · see citing works
Microglia Biology: One Century of Evolving Concepts
Prinz, M., Jung, S., & Priller, J. (2019) · Cell · doi:10.1016/j.cell.2019.08.053 · Cited by 1,525 · see citing works
Experimental autoimmune encephalomyelitis (EAE) as a model for multiple sclerosis (MS)
Constantinescu, C. S., Farooqi, N., O'Brien, K., & Gran, B. (2011) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2011.01302.x · Cited by 1,523 · see citing works
Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution
Masuda, T., Sankowski, R., Staszewski, O., Böttcher, C., Amann, L., Sagar, Scheiwe, C., Nessler, S., Kunz, P., van Loo, G., et al. (2019) · Nature · doi:10.1038/s41586-019-0924-x · Cited by 1,310 · see citing works
Clearance of senescent glial cells prevents tau-dependent pathology and cognitive decline
Bussian, T. J., Aziz, A., Meyer, C. F., Swenson, B. L., van Deursen, J. M., & Baker, D. J. (2018) · Nature · doi:10.1038/s41586-018-0543-y · Cited by 1,289 · see citing works
Senolytic drugs: from discovery to translation
Kirkland, J. L., & Tchkonia, T. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13141 · Cited by 1,227 · see citing works
Microglia development and function
Nayak, D., Roth, T. L., & McGavern, D. B. (2014) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032713-120240 · Cited by 1,154 · see citing works
Zhang, P., Kishimoto, Y., Grammatikakis, I., Gottimukkala, K., Cutler, R. G., Zhang, S., Abdelmohsen, K., Bohr, V. A., Misra Sen, J., Gorospe, M., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0372-9 · Cited by 977 · see citing works
Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation
Jordão, M. J. C., Sankowski, R., Brendecke, S. M., Sagar, Locatelli, G., Tai, Y.-H., Tay, T. L., Schramm, E., Armbruster, S., Hagemeyer, N., et al. (2019) · Science · doi:10.1126/science.aat7554 · Cited by 843 · see citing works
Brain cell type–specific enhancer–promoter interactome maps and disease <b>-</b> risk association
Nott, A., Holtman, I. R., Coufal, N. G., Schlachetzki, J. C. M., Yu, M., Hu, R., Han, C. Z., Pena, M., Xiao, J., Wu, Y., et al. (2019) · Science · doi:10.1126/science.aay0793 · Cited by 823 · see citing works
Single-cell transcriptomic profiling of the aging mouse brain
Ximerakis, M., Lipnick, S. L., Innes, B. T., Simmons, S. K., Adiconis, X., Dionne, D., Mayweather, B. A., Nguyen, L., Niziolek, Z., Ozek, C., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0491-3 · Cited by 736 · see citing works
Tau protein aggregation is associated with cellular senescence in the brain
Musi, N., Valentine, J. M., Sickora, K. R., Baeuerle, E., Thompson, C. S., Shen, Q., & Orr, M. E. (2018) · Aging Cell · doi:10.1111/acel.12840 · Cited by 595 · see citing works
Microglia and Central Nervous System–Associated Macrophages—From Origin to Disease Modulation
Prinz, M., Masuda, T., Wheeler, M. A., & Quintana, F. J. (2021) · Annual Review of Immunology · doi:10.1146/annurev-immunol-093019-110159 · Cited by 584 · see citing works
Disease-specific oligodendrocyte lineage cells arise in multiple sclerosis
Falcão, A. M., van Bruggen, D., Marques, S., Meijer, M., Jäkel, S., Agirre, E., Samudyata, Floriddia, E. M., Vanichkina, D. P., ffrench-Constant, C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0236-y · Cited by 579 · see citing works
Single-cell genomics unveils critical regulators of Th17 cell pathogenicity
Gaublomme, J. T., Yosef, N., Lee, Y., Gertner, R. S., Yang, L. V., Wu, C., Pandolfi, P. P., Mak, T., Satija, R., Shalek, A. K., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.009 · Cited by 575 · see citing works
Chinta, S. J., Woods, G., Demaria, M., Rane, A., Zou, Y., McQuade, A., Rajagopalan, S., Limbad, C., Madden, D. T., Campisi, J., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2017.12.092 · Cited by 530 · cited 1× · see citing works
“Importantly, removing senescent cells or inhibiting their accumulation reduces neu-roin fl ammation and ameliorates cognitive functions 27 – 30, 33, 34 , demonstrating In this study, we began by con fi rming senescent cells in the CNS during natural aging processes in detail and investigate their…”
Erny, D., Dokalis, N., Mezö, C., Castoldi, A., Mossad, O., Staszewski, O., Frosch, M., Villa, M., Fuchs, V., Mayer, A., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.10.010 · Cited by 478 · see citing works
White matter aging drives microglial diversity
Safaiyan, S., Besson-Girard, S., Kaya, T., Cantuti-Castelvetri, L., Liu, L., Ji, H., Schifferer, M., Gouna, G., Usifo, F., Kannaiyan, N., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.01.027 · Cited by 477 · see citing works
Mapping microglia states in the human brain through the integration of high-dimensional techniques
Sankowski, R., Böttcher, C., Masuda, T., Geirsdottir, L., Sagar, Sindram, E., Seredenina, T., Muhs, A., Scheiwe, C., Shah, M. J., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0532-y · Cited by 449 · see citing works
Marsh, S. E., Walker, A. J., Kamath, T., Dissing-Olesen, L., Hammond, T. R., de Soysa, T. Y., Young, A. M. H., Murphy, S., Abdulraouf, A., Nadaf, N., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01022-8 · Cited by 432 · cited 1× · see citing works
“Importantly, although the microglia were reported to be activated ex vivo during enzymatic tissue digestion 43 , genes related with ex vivo activated microglia (exAM) were relatively low in the DAM-related cluster, suggesting that DAM-related genes were not caused by enzymatic activation during…”
Ogrodnik, M., Evans, S. A., Fielder, E., Victorelli, S., Kruger, P., Salmonowicz, H., Weigand, B. M., Patel, A. D., Pirtskhalava, T., Inman, C. L., et al. (2021) · Aging Cell · doi:10.1111/acel.13296 · Cited by 405 · see citing works
Elmore, M. R. P., Hohsfield, L. A., Kramár, E. A., Soreq, L., Lee, R. J., Pham, S. T., Najafi, A. R., Spangenberg, E. E., Wood, M. A., West, B. L., et al. (2018) · Aging Cell · doi:10.1111/acel.12832 · Cited by 380 · see citing works
Senolytic Drugs: Reducing Senescent Cell Viability to Extend Health Span
Robbins, P. D., Jurk, D., Khosla, S., Kirkland, J. L., LeBrasseur, N. K., Miller, J. D., Passos, J. F., Pignolo, R. J., Tchkonia, T., & Niedernhofer, L. J. (2021) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-050120-105018 · Cited by 339 · see citing works
Coppé, J.-P., Patil, C. K., Rodier, F., Sun, Y., Muñoz, D. P., Goldstein, J., Nelson, P. S., Desprez, P.-Y., & Campisi, J. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060301 · Cited by 302 · cited 1× · see citing works
“In addition to irreversible cell-cycle arrest, mainly coordinated by p16 INK4a and p21 Waf1/Cip1 , senescent cells exhibit a secretory phenotype that releases various in fl ammatory cytokines, chemo-kines and growth factors into their extracellular fl uid 15 – 18 .”
Hu, Y., Fryatt, G. L., Ghorbani, M., Obst, J., Menassa, D. A., Martin-Estebane, M., Muntslag, T. A. O., Olmos-Alonso, A., Guerrero-Carrasco, M., Thomas, D., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109228 · Cited by 298 · see citing works
Gut microorganisms act together to exacerbate inflammation in spinal cords
Miyauchi, E., Kim, S.-W., Suda, W., Kawasumi, M., Onawa, S., Taguchi-Atarashi, N., Morita, H., Taylor, T. D., Hattori, M., & Ohno, H. (2020) · Nature · doi:10.1038/s41586-020-2634-9 · Cited by 268 · see citing works
Institutional Violence Against Users of the Family Law Courts and the Legal Harassment Scale
Clemente, M., Padilla-Racero, D., Espinosa, P., Reig-Botella, A., & Gandoy-Crego, M. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00001 · Cited by 267 · see citing works
Gut bacteria identified in colorectal cancer patients promote tumourigenesis via butyrate secretion
Okumura, S., Konishi, Y., Narukawa, M., Sugiura, Y., Yoshimoto, S., Arai, Y., Sato, S., Yoshida, Y., Tsuji, S., Uemura, K., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25965-x · Cited by 264 · see citing works
Self-citationMossad, O., Batut, B., Yilmaz, B., Dokalis, N., Mezö, C., Nent, E., Nabavi, L. S., Mayer, M., Maron, F. J. M., Buescher, J. M., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01027-3 · Cited by 241 · see citing works
Gaikwad, S., Puangmalai, N., Bittar, A., Montalbano, M., Garcia, S., McAllen, S., Bhatt, N., Sonawane, M., Sengupta, U., & Kayed, R. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109419 · Cited by 234 · see citing works
Nicaise, A. M., Wagstaff, L. J., Willis, C. M., Paisie, C. A., Chandok, H., Robson, P., Fossati, V., Williams, A., & Crocker, S. J. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1818348116 · Cited by 227 · see citing works
Real-time in vivo imaging of p16Ink4a reveals cross talk with p53
Yamakoshi, K., Takahashi, A., Hirota, F., Nakayama, R., Ishimaru, N., Kubo, Y., Mann, D. J., Ohmura, M., Hirao, A., Saya, H., et al. (2009) · Journal of Cell Biology · doi:10.1083/jcb.200904105 · Cited by 172 · see citing works
Self-citationProfiling senescent cells in human brains reveals neurons with CDKN2D/p19 and tau neuropathology
Dehkordi, S. K., Walker, J., Sah, E., Bennett, E., Atrian, F., Frost, B., Woost, B., Bennett, R. E., Orr, T. C., Zhou, Y., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00142-3 · Cited by 169 · see citing works
Ritzel, R. M., Doran, S. J., Glaser, E. P., Meadows, V. E., Faden, A. I., Stoica, B. A., & Loane, D. J. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.02.010 · Cited by 156 · see citing works
Takeuchi, S., Takahashi, A., Motoi, N., Yoshimoto, S., Tajima, T., Yamakoshi, K., Hirao, A., Yanagi, S., Fukami, K., Ishikawa, Y., et al. (2010) · Cancer Research · doi:10.1158/0008-5472.can-10-0801 · Cited by 136 · see citing works
Self-citationBrelstaff, J. H., Mason, M., Katsinelos, T., McEwan, W. A., Ghetti, B., Tolkovsky, A. M., & Spillantini, M. G. (2021) · Science Advances · doi:10.1126/sciadv.abg4980 · Cited by 135 · see citing works
Cudejko, C., Wouters, K., Fuentes, L., Hannou, S. A., Paquet, C., Bantubungi, K., Bouchaert, E., Vanhoutte, J., Fleury, S., Rémy, P., et al. (2011) · Blood · doi:10.1182/blood-2010-10-313106 · Cited by 125 · see citing works
Mezö, C., Dokalis, N., Mossad, O., Staszewski, O., Neuber, J., Yilmaz, B., Schnepf, D., de Agüero, M. G., Ganal-Vonarburg, S. C., Macpherson, A. J., et al. (2020) · Acta Neuropathologica Communications · doi:10.1186/s40478-020-00988-5 · Cited by 120 · see citing works
Expression of p16INK4a prevents cancer and promotes aging in lymphocytes
Liu, Y., Johnson, S. M., Fedoriw, Y., Rogers, A. B., Yuan, H., Krishnamurthy, J., & Sharpless, N. E. (2011) · Blood · doi:10.1182/blood-2010-09-304402 · Cited by 114 · see citing works
Zhang, X., Pearsall, V. M., Carver, C. M., Atkinson, E. J., Clarkson, B. D. S., Grund, E. M., Baez-Faria, M., Pavelko, K. D., Kachergus, J. M., White, T. A., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33226-8 · Cited by 102 · see citing works
Trias, E., Beilby, P. R., Kovacs, M., Ibarburu, S., Varela, V., Barreto-Núñez, R., Bradford, S. C., Beckman, J. S., & Barbeito, L. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00042 · Cited by 85 · see citing works
Tsuji, S., Minami, S., Hashimoto, R., Konishi, Y., Suzuki, T., Kondo, T., Sasai, M., Torii, S., Ono, C., Shichinohe, S., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00170-7 · Cited by 84 · see citing works
Self-citationShort-term gain, long-term pain: the senescence life cycle and cancer
Chan, A. S. L., & Narita, M. (2019) · Genes & Development · doi:10.1101/gad.320937.118 · Cited by 80 · see citing works
Vázquez-Villaseñor, I., Garwood, C. J., Heath, P. R., Simpson, J. E., Ince, P. G., & Wharton, S. B. (2019) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12559 · Cited by 80 · see citing works
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 · see citing works
EdU induces DNA damage response and cell death in mESC in culture
Kohlmeier, F., Maya‐Mendoza, A., & Jackson, D. A. (2013) · Chromosome Research · doi:10.1007/s10577-013-9340-5 · Cited by 79 · see citing works
Identification of distinct and age‐dependent p16<sup>High</sup> microglia subtypes
Talma, N., Gerrits, E., Wang, B., Eggen, B. J. L., & Demaria, M. (2021) · Aging Cell · doi:10.1111/acel.13450 · Cited by 46 · see citing works
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Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases
Loh, J. S., Mak, W. Q., Tan, L. K. S., Ng, C. X., Chan, H. H., Yeow, S. H., Foo, J. B., Ong, Y. S., How, C. W., & Khaw, K. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01743-1 · Cited by 1,193 · see citing works
Senescent-like microglia limit remyelination through the senescence associated secretory phenotype
Gross, P. S., Durán-Laforet, V., Ho, L. T., Melchor, G. S., Zia, S., Manavi, Z., Barclay, W. E., Lee, S. H., Shults, N., Selva, S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-57632-w · Cited by 62 · see citing works
Fancy, N. N., Smith, A. M., Caramello, A., Tsartsalis, S., Davey, K., Muirhead, R. C. J., McGarry, A., Jenkyns, M. H., Schneegans, E., Chau, V., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02727-9 · Cited by 48 · see citing works
Uncovering the signatures of aging and senescence in the human dorsolateral prefrontal cortex
Sloan, N. X., Mares, J., Daly, A. C., Grier, S., Haq, I., Jackson, C. A., Barretto, N., Casel, O., Kang, K., Khiste, S., et al. (2026) · Cell Genomics · doi:10.1016/j.xgen.2025.101127 · Cited by 2 · see citing works
- Authors
- Matsudaira, T., Nakano, S., Konishi, Y., Kawamoto, S., Uemura, K., Kondo, T., Sakurai, K., Ozawa, T., Hikida, T., Komine, O., Yamanaka, K., Fujita, Y., Yamashita, T., Matsumoto, T., & Hara, E.
- Affiliations
- Research Institute for Microbial Diseases, The University of Osaka (JP)
- Institute for Protein Research, The University of Osaka (JP)
- Research Institute of Environmental Medicine, Nagoya University (JP)
- The University of Osaka (JP)
- Center for Infectious Disease Education and Research, The University of Osaka (JP)
- Corresponding author
- Matsudaira, Tatsuyuki
- Hara, Eiji
- ORCID
- Venue
- Communications Biology
- Published
- 2023-06-23
- Volume
- 6
- Issue
- 1
- Pages
- 665-665
- ISSN
- 2399-3642 (ISSN-L)
- PMC
- PMC10290132
- OpenAlex
- W4381839407
- Semantic Scholar
- 8989babc00ed0e1ba7e6eea38273a03d6a512843
- Cited by
- 98
- References
- 66
- Citations by year
- 2026: 35 · 2025: 28 · 2024: 32 · 2023: 3
- FWCI
- 10.16
- Type
- journal article
- Language
- en
- Update notices
- correction (2025-11-06)
- Open access
- gold
- doi.org
- Locations
- Communications Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- OUKA (Osaka University Knowledge Archive) (Osaka University) (submittedVersion)
- Funders
- MEXT | Japan Society for the Promotion of Science (20J01264, JP22H00457, JP21H05694, JP22H02944)
- Japan Agency for Medical Research and Development (JP21gm5010001, JP22gm1710004, JP22zf0127008, JP21wm0425010, JP21gm11510006)
- MEXT | Japan Science and Technology Agency (JPMJMS2022-15)
- Collaborative Research Program of Institute for Protein Research, Osaka University, ICR-21-3
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- cellular senescence, microglia, white matter, aging, neuroinflammation, disease-associated microglia, demyelination, commensal bacteria, p16INK4a, spinal cord, neurodegenerative diseases
- MeSH terms
- Aging, Animals, Phenotype, Cellular Senescence, Microglia, Mice, White Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
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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