Evidence map›Paper›PMID 41162675›Full record

ArticleNature aging2025

Epigenetic dysregulation in aged muscle stem cells drives mesenchymal progenitor expansion via IL-6 and Spp1 signaling.

Giulia Riparini, Morgan Mackenzie, Faiza Naz, Stephen Brooks, Kan Jiang, Anshu Deewan, Brittany Dulek, Shamima Islam, Kyung Dae Ko, Wanxia L Tsai and 3 more

Abstract read
In one paragraph

Article in Nature aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  5. Article
  6. Review
  7. Article
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  12. Review
  13. The pro-fibrogenic role of SPP1Frontiers in immunology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Giulia RipariniLaboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.
Morgan MackenzieLaboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0009-0005-0344-3637
Faiza NazGenomic Technology Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.
Stephen BrooksBiodata Mining and Discovery Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.
Kan JiangBiodata Mining and Discovery Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-9065-4574
Anshu DeewanIntegrated Data Sciences Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Brittany DulekIntegrated Data Sciences Section, Research Technologies Branch, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Shamima IslamGenomic Technology Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.
Kyung Dae KoLaboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.
Wanxia L TsaiTranslational Immunology Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.
Massimo GadinaTranslational Immunology Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-9084-6736
Stefania Dell'OrsoGenomic Technology Section, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.
Vittorio SartorelliLaboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA. vittorio.sartorelli@nih.gov.ORCID http://orcid.org/0000-0002-9284-3675

Funding

REGULATION OF MYOD POST TRANSCRIPTIONAL MODIFICATIONSZ01AR041126 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI SARTORELLI, VITTORIO · 2000 to 2008
$2.4M
Intramural NIH HHS Z01 AR041126U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) AR041126-26U.S. Department of Health & Human Services | NIH | National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) AR041164-18
6 · The paper itself

Abstract

Sarcopenia, the age-related decline in muscle mass, strength and function, is characterized by impaired muscle homeostasis, reduced regenerative potential of muscle stem cells (MuSCs) and increased fibrosis. Here we report that aged MuSCs can autonomously instruct fibro-adipogenic progenitors (FAPs) to proliferate and acquire a fibrogenic phenotype, independent of other cell types. Both the polycomb-deficient Ezh2

Indexed as

AgingEpigenesis, GeneticInterleukin-6Mesenchymal Stem CellsOsteopontinSarcopeniaAnimalsCell ProliferationEnhancer of Zeste Homolog 2 ProteinFibrosisMaleMiceMice, Inbred C57BLMice, KnockoutMuscle, SkeletalSignal TransductionEnhancer of Zeste Homolog 2 ProteinEzh2 protein, mouseInterleukin-6interleukin-6, mouseOsteopontinSpp1 protein, mouse

Identifiers

PMID41162675
PMCPMC12705444

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.