Cited by 133Pluripotent Stem Cells ResearchGenetics, Aging, and Longevity in Model OrganismsEpigenetics and DNA Methylation

Multi‐omic rejuvenation of naturally aged tissues by a single cycle of transient reprogramming

Open access
Chondronasiou, Dafni, Gill, Diljeet, Mosteiro, Lluc, Urdinguio, Rocio G., Berenguer‐Llergo, Antonio, Aguilera, Mònica, Durand, Sylvere, Aprahamian, Fanny +9 more·2022·Aging Cell

Published version of a preprint

Abstract

The expression of the pluripotency factors OCT4, SOX2, KLF4, and MYC (OSKM) can convert somatic differentiated cells into pluripotent stem cells in a process known as reprogramming. Notably, partial and reversible reprogramming does not change cell identity but can reverse markers of aging in cells, improve the capacity of aged mice to repair tissue injuries, and extend longevity in progeroid mice. However, little is known about the mechanisms involved. Here, we have studied changes in the DNA methylome, transcriptome, and metabolome in naturally aged mice subject to a single period of transient OSKM expression. We found that this is sufficient to reverse DNA methylation changes that occur upon aging in the pancreas, liver, spleen, and blood. Similarly, we observed reversion of transcriptional changes, especially regarding biological processes known to change during aging. Finally, some serum metabolites and biomarkers altered with aging were also restored to young levels upon transient reprogramming. These observations indicate that a single period of OSKM expression can drive epigenetic, transcriptomic, and metabolomic changes toward a younger configuration in multiple tissues and in the serum.

AI snapshot

Written from the paper’s full text.

TL;DR

A single one-week cycle of transient OSKM expression in naturally aged mice partially reversed aging-associated DNA methylation, transcriptomic, and serum metabolomic changes across pancreas, liver, spleen, and blood. The effects were strongest in pancreas, detectable in tissues with low OSKM expression, and did not clearly reduce senescence markers.

Key findings

  • In pancreas, RRBS identified 93 aging-differentially methylated promoters and 75 enhancers; 61 (36%) were reversed toward a younger state by OSKM. Pyrosequencing validated rejuvenation in 8 of 11 tested regions.
  • Pancreatic RNAseq found 217 aging-differentially expressed genes; PCA placed old-OSKM samples between old and young. A gaga pattern analysis identified 179 rejuvenated gene-sets versus 44 after sample randomization, including mTOR, DNA replication/repair, proteostasis, and collagen-related sets.
  • In liver, 61% of 108 combined aging-DM promoters/enhancers showed rejuvenation; five Mouse Aging Cell Atlas genes and Nrf2/ApoM returned to young levels, and serum AST/GOT and ALT/GPT were significantly lower after OSKM plus recovery.
  • In blood, Hsf4 methylation rose from ~20% in young (~10 weeks) to ~55% in very old (~100 weeks); over 5 weeks, controls increased ~4% while reprogrammable mice decreased ~4%, an 8% difference. Serum metabolomics found 23 aging-associated metabolites, of which 4 were reversed: 4-hydroxyproline, thymine, trimethyl-lysine, and indole-3-propionic acid.

Methods

  • Reprogrammable i4F-B mice carrying a doxycycline-inducible OSKM transgene were treated with 0.2 mg/ml doxycycline in drinking water for 7 days; ages included young (13 weeks), old (55 weeks), and very old (~100 weeks), with 2- or 4-week recovery periods.
  • Multi-omic profiling used MspI-based RRBS for DNA methylation in pancreas, liver, and spleen; RNAseq and qRT-PCR for transcriptomes; bisulfite pyrosequencing for validation; and mass spectrometry-based serum metabolomics.
  • Analyses included PCA, logistic regression for differential methylation, ROAST/GSEA-style enrichment, gaga Normal-Normal pattern analysis, and linear mixed models for metabolomics.

Limitations

  • Stated: the study could not associate specific aging-DM regions with mRNA levels of nearby genes; OSKM may have non-cell-autonomous effects and changes in cell composition were not addressed; a single cycle may not rejuvenate senescent cells in aged liver; some OSKM-induced changes may be unstable and lost during recovery.
  • Stated: very old mice were allocated by genotype rather than randomized; liver and spleen express OSKM weakly, and their epigenetic rejuvenation was less pronounced than in pancreas.
  • Evident from the text: sample sizes were small (often n = 3–7 per group), and some conclusions rely on trends or partial separation in PCA rather than uniformly significant region-level changes.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1111/acel.13578

Cites

72 of 72 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 59 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    A single period of transient OSKM expression in naturally aged mice is sufficient to reverse DNA methylation changes that occur upon aging in the pancreas, liver, spleen, and blood.

    “We found that this is sufficient to reverse DNA methylation changes that occur upon aging in the pancreas, liver, spleen, and blood.”
    Quote in the paperSubstantial claim
  • Findingown data

    DM enhancer at Chr10:68231400-68232600 showed a trend to be demethylated after OSKM activation.

    “For example, DM enhancer at Chr10: 68231400–68232600 showed a trend to be demethylated after OSKM activation (Figure 1d).”
    Quote in the paperNot a substantial claim
  • Findingown data

    No remethylation was detected in these two positions after transient OSKM activation.

    “However, we could not detect remethylation in these two positions after transient OSKM activation (Figure S1n).”
    Quote in the paperNot a substantial claim
  • Findingown data

    PCA showed that aging-DM enhancers in OSKM mice were distinct from old mice and displaced toward the young group.

    “As before, PCA analysis showed that aging‐DM enhancers in OSKM mice were distinct from old mice and displaced toward the young group (Figure 1c).”
    Quote in the paperSubstantial claim
  • Findingown data

    Transient OSKM expression in naturally aged mice reverts transcriptional changes, especially regarding biological processes known to change during aging.

    “Similarly, we observed reversion of transcriptional changes, especially regarding biological processes known to change during aging.”
    Quote in the paperSubstantial claim
  • May combine two claims. 33
  • Classified as probably not a substantial claim. 30
  • May combine two claims.

    Findingown data

    Remethylation events were already present at d7 and half of them were preserved during recovery, while the other half were lost.

    “In contrast, remethylation events were already present at d7 and half of them were preserved during recovery, while the other half were lost (Figure 1e,f).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    While pancreas, intestine, and stomach manifest histological changes during OSKM expression, liver and spleen do not present observable histological changes except for signs of extramedullary hematopoiesis in the spleen.

    “It is important to mention that while pancreas, intestine, and stomach manifest histological changes during OSKM expression, other tissues, like liver or spleen, do not present observable histological changes except for signs of extramedullary hematopoiesis in the spleen (Figure S1a).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The OSKM cassette is not homogeneously expressed in all cell types; acinar cells of the pancreas rapidly and broadly express SOX2 24h after i.p. injection of doxycycline, but most endocrine cells do not.

    “It is also worth mentioning that the OSKM cassette is not homogeneously expressed in all cell types. For example, acinar cells of the pancreas rapidly and broadly express SOX2, 24h after i.p. injection of doxycycline, as detected by immunohistochemistry; however, this was not the case of other cell types of the pancreas, including most endocrine cells (Figure S1d).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Among aging-DM enhancers, 17 out of 43 are hypermethylated with aging and demethylated by OSKM, and 8 out of 32 are hypomethylated with aging and remethylated by OSKM.

    “We then separated those enhancers that are hypermethylated with aging and demethylated by OSKM (17 out of 43 in total), and those enhancers hypomethylated with aging and remethylated by OSKM (8 out of 32 in total) (Figure 1d, Figure S1j‐k, Table S2).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    RRBS analysis revealed a total of 93 promoters and 75 enhancers in which methylation changes with aging, and out of them a total of 61 (36%) were reversed toward a younger state by OSKM expression in old mice.

    “In summary, RRBS analysis has revealed a total of 93 promoters and 75 enhancers in which methylation changes with aging, and out of them a total of 61 (36%) were reversed toward a younger state by OSKM expression in old mice (Figure 1b,d).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Among aging-DM promoters, 19 out of 51 (37%) are hypermethylated with aging and demethylated by OSKM, and 17 out of 42 (40%) are hypomethylated with aging and remethylated by OSKM.

    “This yielded a subset of promoters that are hypermethylated with aging and demethylated by OSKM (19 out of 51 in total, 37%), and a subset of promoters that are hypomethylated with aging and remethylated by OSKM (17 out of 42 in total, 40%) (Figure 1b, Figure S1g‐h, Table S1).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The Hnf1a promoter is among promoters hypermethylated with aging, and OSKM induced a trend of partial demethylation.

    “As a notable example, the Hnf1a promoter, a key transcription factor for the development of the pancreas (Lau et al., 2018), was among the promoters hypermethylated with aging and OSKM induced a trend of partial demethylation (Figure 1b).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Lau et al., 2018

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  • May combine two claims.

    Findingown data

    Nrf2 and ApoM are downregulated with aging in the liver of very old mice, and this was reverted upon one cycle of OSKM.

    “We confirmed that both genes are downregulated with aging in the liver of our very old mice, and this was reverted upon one cycle of OSKM (Figure 3d).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    p21CIP1 (Cdkn1a) expression levels in liver did not change with aging nor with OSKM.

    “The levels of p21CIP1 expression (Cdkn1a) were not informative because their levels did not change with aging nor with OSKM (Figure S3h,i).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    In mouse liver, p16INK4a, Mcp1, and Cxcl2 levels increased with aging.

    “As expected, all of these were increased with aging; however, their levels did not decline in any of the two cohorts of very old‐OSKM mice (Figure 3c, Figure S3h,i).”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    In liver, RRBS covered 5.3% of promoters and 3.5% of enhancers; in spleen, 25% of promoters and 22.4% of enhancers.

    “For this, we performed a similar methylation profiling by RRBS analysis in the liver (5.3% of the promoters and 3.5% of the enhancers were covered) and spleen (25% of the promoters and 22.4% of the enhancers were covered), two tissues that modestly upregulate OSKM expression upon doxycycline treatment (Figure S1c).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    In the pancreas, there is a temporal pattern for OSKM-induced methylation changes (remethylation during OSKM expression and demethylation during the recovery period); this temporal pattern was not evident in the liver.

    “In the pancreas, we observed a temporal pattern for OSKM‐induced methylation changes (remethylation during OSKM expression and demethylation during the recovery period). However, this temporal pattern was not evident in the liver (Figure S3g).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    PCA of methylation patterns of liver DM promoters and enhancers indicated that old-OSKM mice partially recovered a younger methylation pattern, although separation between experimental groups was not as clear as in pancreas.

    “Similar to the pancreas, PCA analysis of the methylation patterns of liver DM promoters and enhancers indicated that old‐OSKM mice partially recovered a younger methylation pattern although the separation between experimental groups was not as clear as in the case of the pancreas (Figure 3a).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Gene-sets related to the minichromosome maintenance (MCM) helicase, the DNA replication machinery, mismatch repair, and base excision repair were all reduced in old mice and upregulated to young levels in old-OSKM mice.

    “We observed that gene‐sets related to the minichromosome maintenance (MCM) helicase, the DNA replication machinery, mismatch repair, and base excision repair, were all reduced in our old mice and upregulated to young levels in old‐OSKM mice (Figure 2f, Figure S2g‐h).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingcitation

    Gene-sets rejuvenated by OSKM included important aging-related processes, such as mTOR upregulation, insulin increase, reduction of NADPH and pyrimidine synthesis, and decline of mitochondrial processes, such as fatty acid oxidation, tricarboxylic acid cycle, and oxidative phosphorylation.

    “More importantly, the gene‐sets rejuvenated by OSKM included important aging‐related processes, such as mTOR upregulation, insulin increase, reduction of NADPH and pyrimidine synthesis, and decline of mitochondrial processes, such as fatty acid oxidation, tricarboxylic acid cycle, and oxidative phosphorylation (Brink et al., 2009; Fontana et al., 2010; López‐Otin et al., 2013) (Figure 2e, Figure S”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Brink et al., 2009

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    • cites Fontana et al., 2010

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    • cites López‐Otin et al., 2013

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  • May combine two claims.

    Findingown data

    Transient OSKM activation reversed well-known transcriptional changes associated with aging, including insulin and mTOR signaling, mitochondrial metabolic processes, and DNA repair.

    “Interestingly, transient OSKM activation reversed well‐known transcriptional changes associated to aging. This is the case of insulin and mTOR signaling, mitochondrial metabolic processes, and DNA repair.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    OSKM induction caused histologically detectable alterations in the pancreas but not in the spleen or liver.

    “This protocol of induction was sufficient to cause histologically detectable alterations in the pancreas, but not in the spleen or liver.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The majority of loss-of-methylation events were absent after OSKM expression and were acquired during the recovery period.

    “In contrast, the majority of loss‐of‐methylation events were absent after OSKM expression and, therefore, were acquired during the recovery period.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    The simultaneous expression of OCT4, SOX2, KLF4, and MYC (OSKM) in adult differentiated cells can shut off their transcriptional programs for cell identity, activate transcription of pluripotency genes, and establish a new identity equivalent to embryonic stem cells.

    “The simultaneous expression of four specific factors, OCT4, SOX2, KLF4, and MYC (OSKM), also known as “Yamanaka factors,” in adult differentiated cells is able to shut off their transcriptional programs for cell identity, activate the transcription of pluripotency genes, and establish a new identity equivalent to embryonic stem cells (Takahashi & Yamanaka, 2006).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Takahashi & Yamanaka, 2006

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  • Classified as probably not a substantial claim.

    Premisecitation

    Upon OSKM expression in vivo, a fraction of cells within tissues shut off their cell identity markers and progressively activate the pluripotency program.

    “Upon OSKM expression in vivo, a fraction of cells within tissues shut off their cell identity markers and progressively activate the pluripotency program (Abad et al., 2013).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Abad et al., 2013

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    Interpretationown data

    One week of OSKM expression allows for transient and reversible changes in the histology of the pancreas without achieving pluripotency.

    “Therefore, one week of OSKM expression allows for transient and reversible changes in the histology of the pancreas without achieving pluripotency.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Rejuvenation of aging-associated DNA methylation occurs progressively during reprogramming, initiated at early stages and continuing until full reprogramming.

    “Interestingly, examination of aging‐associated DNA methylation has revealed that rejuvenation of this aging trait occurs progressively during reprogramming, being initiated at the early stages of the process and continuing until full reprogramming (Gill et al., 2021; Olova et al., 2019).”
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    • cites Gill et al., 2021

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    • cites Olova et al., 2019

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    Premisecitation

    OSKM expression in mice recapitulates the process of reprogramming.

    “The expression of OSKM in mice recapitulates the process of reprogramming (Abad et al., 2013; Mosteiro et al., 2016; Ohnishi et al., 2014).”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Abad et al., 2013

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    • cites Mosteiro et al., 2016

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    • cites Ohnishi et al., 2014

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    Premisecitation

    Changes in the epigenome, particularly DNA methylation, are robustly linked to aging.

    “Changes in the epigenome, and particularly DNA methylation, are robustly linked to aging (Field et al., 2018; Horvath, 2013; Horvath & Raj, 2018; Stubbs et al., 2017).”
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    • cites Field et al., 2018

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    • cites Horvath, 2013

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    • cites Horvath & Raj, 2018

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  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Viral transduction of OSK in the retina of old mice reduces aging-associated DNA methylation and improves vision.

    “Also, viral transduction of OSK in the retina of old mice has been shown to reduce aging‐associated DNA methylation and to improve vision (Lu et al., 2020).”
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    • cites Lu et al., 2020

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    Premisecitation

    Arid5b encodes a pro-inflammatory RNA-binding protein induced by NF-κB.

    “Among the potential target genes in proximity to this enhancer, it is Arid5b that encodes a pro‐inflammatory RNA‐binding protein induced by NF‐κB (Nyati et al., 2020).”
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    • cites Nyati et al., 2020

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    Premisecitation

    Cycles of OSKM in progeric mice with constitutive DNA damage extend their lifespan significantly.

    “Finally, cycles of OSKM in progeric mice with constitutive DNA damage extend significantly their lifespan (Ocampo et al., 2016).”
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    • cites Ocampo et al., 2016

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    Premisecitation

    DNA methylation at specific CpG sites is tightly linked to aging and particularly to biological aging rather than chronological aging.

    “Among the various molecular changes associated with aging, DNA methylation at specific CpG sites has turned out to be tightly linked to aging and, particularly, to biological aging rather than chronological aging (Field et al., 2018; Horvath & Raj, 2018).”
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    • cites Field et al., 2018

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    Premisecitation

    Reprogrammed tissues present focal areas of dysplasia in which the tissue alters its normal architecture and cells lose differentiation markers.

    “Reprogrammed tissues present focal areas of dysplasia in which the tissue alters its normal architecture and cells lose differentiation markers (Abad et al., 2013).”
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    • cites Abad et al., 2013

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    Premisecitation

    At a more advanced stage, tissues present compact areas of undifferentiated cells expressing pluripotency markers, such as NANOG.

    “At a more advanced stage, tissues present compact areas of undifferentiated cells expressing pluripotency markers, such as NANOG (Abad et al., 2013).”
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    • cites Abad et al., 2013

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    Premisecitation

    Cycles of short OSKM expression followed by recovery result in rejuvenation, both in vivo and in vitro.

    “Remarkably, cycles of short OSKM expression followed by recovery result in rejuvenation, both in vivo and in vitro (Ocampo et al., 2016; Sarkar et al., 2020).”
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    • cites Ocampo et al., 2016

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    Premisecitation

    In reprogrammable mice, the pancreas is the most susceptible tissue to undergo reprogramming, followed by the intestine and stomach.

    “In these mice, the pancreas is the most susceptible tissue to undergo reprogramming, followed by the intestine and stomach (Abad et al., 2013).”
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    • cites Abad et al., 2013

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    Premisecitation

    Completion of reprogramming in vivo manifests by the formation of teratomas, a tumor overgrowth formed by pluripotent cells differentiating into multiple cell lineages.

    “The completion of reprogramming in vivo manifests by the formation of teratomas, a tumor overgrowth formed by pluripotent cells differentiating into multiple cell lineages (Abad et al., 2013; Ohnishi et al., 2014).”
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    • cites Abad et al., 2013

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    Premisecitation

    The Mouse Aging Cell Atlas aging signature applies to multiple tissues including liver and spleen but not to the pancreas.

    “To obtain further insights into the aging‐associated transcriptome of old‐OSKM livers, we examined the top genes of a recently reported aging signature based on the Mouse Aging Cell Atlas (Tabula Muris Consortium, 2020) that applies to multiple tissues including the liver and spleen but not to the pancreas (Zhang et al., 2021).”
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    • cites Tabula Muris Consortium, 2020

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    • cites Zhang et al., 2021

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    Premisecitation

    p16INK4a (Cdkn2a), Mcp1, and Cxcl2 are known to increase with aging in mouse liver.

    “the senescence marker p16INK4a (Cdkn2a) and the senescence‐associated cytokines Mcp1 and Cxcl2, known to increase with aging in mouse liver (Yousefzadeh et al., 2020).”
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    • cites Yousefzadeh et al., 2020

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    Premisecitation

    Impaired protein homeostasis is an important feature of aging.

    “Another important feature of aging is impaired protein homeostasis (Powers et al., 2009).”
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    Premisecitation

    Foxa3 serves as a pioneer transcription factor for the maintenance of liver-specific transcription.

    “This included Foxa3 which serves as a pioneer transcription factor for the maintenance of liver‐specific transcription (Iwafuchi‐Doi et al., 2016) (Figure 3b).”
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    • cites Iwafuchi‐Doi et al., 2016

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    Premisecitation

    Senescent cells increase with aging and may account for up to 17% of hepatocytes in extremely old mice (~3 years of age).

    “Senescent cells increase with aging and may account for up to 17% of the hepatocytes in extremely old mice (~3 years of age) (Wang et al., 2009).”
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    • cites Wang et al., 2009

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    Premisecitation

    Serum 4-hydroxyproline declines with aging.

    “Serum 4‐hydroxyproline has been reported to decline with aging (Seo et al., 2016).”
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    • cites Seo et al., 2016

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    Premisecitation

    4-hydroxyproline amounts to 14% of all amino acids in collagen.

    “This modified amino acid amounts to 14% of all the amino acids in collagen”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Gabr et al., 2017

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    Interpretationown data

    A single cycle of transient OSKM expression in naturally aged mice can elicit epigenetic, transcriptomic, and serum metabolomic changes that partially restore younger patterns, constituting stable reversion of molecular features of natural aging.

    “In this work, we report that a single cycle of transient OSKM expression in naturally aged mice can elicit epigenetic, transcriptomic, and serum metabolomic changes that partially restore younger patterns.”
    • Also stated in: § DISCUSSION · plain
      “In this work, we report stable reversion of molecular features of natural aging by a single cycle of OSKM expression. The observed rejuvenation features include DNA methylation, transcription, and serum metabolites.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The serum metabolome is a valid readout of systemic rejuvenation.
    • Rests on an assumption: The observed molecular rejuvenation features are not explained by changes in cell composition.
    • Rests on an assumption: OSKM transgene expression is mild in liver, spleen, and blood.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Lack of association between aging-DM regions and transcription is a general finding made by multiple researchers studying aging-DM regions.

    “This lack of association between aging‐DM regions and transcription is, however, a general finding made by multiple researchers studying aging‐DM regions (see detailed discussion in (Horvath & Raj, 2018)).”
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    • cites Horvath & Raj, 2018

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    Premisecitation

    The strategy of correcting gene-set scores by fitting a linear model with group condition and using a global signature is useful to alleviate systematic biases due to gene-correlation structure and to adjust for the expectation under gene randomization.

    “This strategy has proven to be useful to alleviate systematic biases due to the gene‐correlation structure present in the data, and to adjust by the expectation under gene randomization, that is, the association expected for a signature whose genes have been chosen at random (Efron & Tibshirani, 2007; Mestres et al., 2018).”
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    • cites Efron & Tibshirani, 2007

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    • cites Mestres et al., 2018

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    Premisecitation

    Other tissues also contribute to the total levels of serum transaminases.

    “However, there are growing evidences suggesting that other tissues also contribute to the total levels of serum transaminases (Kobayashi et al., 2020).”
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    • cites Kobayashi et al., 2020

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    Premisecitation

    ROAST, a rotation-based approach implemented in limma, is especially suitable for small-size experiments.

    “Pathway enrichment analysis for group comparisons of gene expression was performed using a modification of ROAST (Wu et al., 2010), a rotation‐based approach implemented in the R package limma (Ritchie et al., 2015) that is especially suitable for small size experiments and is based on limma differential expression.”
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    • cites Wu et al., 2010

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    Interpretationreasoning

    The molecular manifestations of rejuvenation likely reflect a complex mixture of direct and indirect effects on multiple tissues.

    “These molecular manifestations of rejuvenation likely reflect a complex mixture of direct and indirect effects on multiple tissues.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The observed molecular rejuvenation features are not explained by changes in cell composition.
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    Premisecitation

    The production of NETs by stimulated neutrophils declines with aging.

    “Interestingly, the production of NETs by stimulated neutrophils declines with aging (Hazeldine & Lord, 2018)”
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    • cites Hazeldine & Lord, 2018

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    Premisecitation

    Aging-DM regions often occur in bivalent, silent promoters where gain of methylation does not impact the already silent transcriptional state.

    “For example, aging‐DM regions often occur in bivalent, silent, promoters where gain of methylation does not impact the already silent transcriptional state (Horvath & Raj, 2018).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Horvath & Raj, 2018

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Mice were randomly allocated to experimental groups, except the very old (100 weeks) cohort, which was not randomized and was distributed according to predetermined genotype.

    “Mice were randomly allocated to their experimental groups, except from the cohort of very old mice (100 weeks) which were distributed according to their pre‐determined type (mouse genotype), and therefore, there was no randomization.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    DNA methylation patterns were validated by bisulfite pyrosequencing.

    “DNA methylation patterns were validated by bisulfite pyrosequencing.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Quantitative PCR data were obtained from independent biological replicates, with n values corresponding to the number of mice and technical PCR replicates not counted in the n value.

    “Quantitative PCR data were obtained from independent biological replicates (n values correspond to the number of mice; technical replicates of PCR were not considered in the n value).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Thymine has been found to extend lifespan in C. elegans.

    “Thymine has been found to extend lifespan in C. elegans (Wan et al., 2019).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Wan et al., 2019

      Not checked in the free run.

52 of 52
  • The paper relies on this without support.

    Interruption of reprogramming at its early stages is fully reversible and does not result in a detectable risk of teratoma.

    “Of note, interruption of the process of reprogramming at its early stages is fully reversible and does not result in a detectable risk of teratoma.”
  • The paper relies on this without support.

    Serum transaminase levels are a valid marker of liver function, such that lower levels reflect improved liver function.

    “reflecting an improved liver function (Figure 3e).”
  • The paper relies on this without support.

    The serum metabolome is a valid readout of systemic rejuvenation.

    “As a readout of systemic rejuvenation, we focused on serum metabolites.”
  • The paper relies on this without support.

    The observed molecular rejuvenation features are not explained by changes in cell composition.

    “This may also result in changes in cell composition that have not been addressed in this work.”
  • The paper relies on this without support.

    γH2AX-positive cells are a marker of in vivo senescence.

    “We also measured the number of γH2AX‐positive cells, a marker of in vivo senescence”
  • The paper relies on this without support.

    OSKM transgene expression is mild in liver, spleen, and blood.

    “This is not entirely surprising if we consider the mild expression of the OSKM transgene in these tissues.”
6 of 6

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?

  • Epigenetic profile assessed by methylation clocks was rejuvenated by cyclic OSKM induction in several tissues, correlated with improved function.

    “Further studies showed that the epigenetic profile assessed by epigenetic methylation clocks (Browder et al., 2022; Chondronasiou et al., 2022; Horvath, 2013; Horvath and Raj, 2018) was rejuvenated by cyclic OSKM induction in several tissues, correlated with their improved function”

    From Gene Therapy-Mediated Partial Reprogramming Extends Lifespan and Reverses Age-Related Changes in Aged Mice (2024) · cites this paper as Chondronasiou et al., 2022

    The Results sections on the pancreas and tissues with low reprogramming report younger DNA-methylation patterns in several tissues after OSKM expression; the latter also reports a physiological readout interpreted as improved liver function (page numbers unavailable). But this study examined a single cycle of OSKM, assessed aging-associated methylation changes rather than rejuvenation by epigenetic clocks, and did not establish a correlation between methylation changes and improved tissue function. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Reprogramming factors rejuvenate DNA methylation and transcriptome in several organs of old mice (pancreas, liver, spleen and blood).

    “Studies so far have shown that reprogramming factors ‘reset’ chromatin modifications in old cells228 and rejuvenate the DNA methylation and transcriptome in several organs of old mice (pancreas, liver, spleen and blood)233.”

    From Ageing and rejuvenation of tissue stem cells and their niches (2023) · cites this paper as [233]

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. 10.1126/SCIENCE.ABG5159/SUPPL_FILE/SCIENCE.ABG5159_MOVIES_S1_TO_S8.ZIP · DOI

Cited by

Sorted by citations

Authors
Chondronasiou, D., Gill, D., Mosteiro, L., Urdinguio, R. G., Berenguer‐Llergo, A., Aguilera, M., Durand, S., Aprahamian, F., Nirmalathasan, N., Abad, M., Martin‐Herranz, D. E., Stephan‐Otto Attolini, C., Prats, N., Kroemer, G., Fraga, M. F., Reik, W., & Serrano, M.
Affiliations
  • Institute for Research in Biomedicine (ES)
  • Babraham Institute (GB)
  • Genentech (US)
  • Cancer Epigenetics and Nanomedicine Laboratory Nanomaterials and Nanotechnology Research Center (CINN CSIC) Oviedo Spain
  • Institute for Research in Biomedicine (IRB Barcelona) Barcelona Institute of Science and Technology (BIST) Barcelona Spain
  • Metabolomics and Cell Biology Platforms Institut Gustave Roussy Villejuif France
  • Inserm (FR)
  • Vall d'Hebron Institute of Oncology (VHIO) Barcelona Spain
  • Chronomics Ltd Cambridge UK
  • Karolinska University Hospital (SE)
  • Consejo Superior de Investigaciones Científicas (ES)
  • Institució Catalana de Recerca i Estudis Avançats (ES)
Corresponding author
Serrano, Manuel
Venue
Aging Cell
Publisher
Wiley
Published
2022-03
Volume
21
Issue
3
Pages
e13578-e13578
ISSN
  • 1474-9718 (ISSN-L)
  • 1474-9726
OpenAlex
W4214855865
Cited by
133
References
72
Citations by year
2026: 24 · 2025: 26 · 2024: 35 · 2023: 32 · 2022: 15 · 2021: 1
FWCI
8.77
Type
journal article
Language
en
Open access
Locations
  • Aging Cell (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
  • Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, cc-by)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • Apollo
  • Apollo (cc-by)
Funders
  • H2020 European Research Council (ERC‐2014‐AdG/669622)
  • Fundación Científica Asociación Española Contra el Cáncer (PROYE18061FERN)
  • Ministerio de Ciencia e Innovación (SAF2013‐48256‐R)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
Keywords
OSKM, aging reversal, DNA methylation, epigenetic reprogramming, transcriptome, serum metabolites, aging biomarkers, pancreas, liver, spleen, serum, tissue rejuvenation
MeSH terms
Epigenome, Animals, Cell Differentiation, Rejuvenation, DNA Methylation, Mice, Induced Pluripotent Stem Cells, Cellular Reprogramming

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 2026-10-10.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.

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.

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