Evidence map›Paper›PMID 40057173›Full record

ArticleJournal of shoulder and elbow surgery2025

The influence of age on cellular senescence in injured versus healthy muscle and its implications on rotator cuff injuries.

Kevin C Wang, Justin Lau, Steven M Garcia, Aboubacar Wague, Sankalp Sharma, Xuhui Liu, Brian T Feeley

Abstract read
In one paragraph

Article in Journal of shoulder and elbow surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

7 authors.

Kevin C WangDivision of Orthopedics, Columbia University at Mount Sinai Medical Center, Miami Beach, FL, USA. Electronic address: wangkevinc@gmail.com.
Justin LauDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
Steven M GarciaDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
Aboubacar WagueDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
Sankalp SharmaUniversity of Minnesota Medical School, Minneapolis, MN, USA.
Xuhui LiuDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.
Brian T FeeleyDepartment of Orthopaedic Surgery, University of California San Francisco, San Francisco, CA, USA.

Funding

Utilizing beige fat to improve muscle function after rotator cuff repairR01AR072669 · NIAMS · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI FEELEY, BRIAN · 2018 to 2022
$2.2M
CSRD VA I01 CX002200NIAMS NIH HHS R01 AR072669
6 · The paper itself

Abstract

backgroundAdvanced age increases the prevalence of rotator cuff tears and affects the success of repair surgeries. Cellular senescence is proposed as a key mechanism behind these age-related differences, likely due to contribution of the senescence-associated secretory phenotype. This state is linked to various age-related diseases, including rotator cuff injuries. MATERIALS AND

methodsRotator cuff muscle samples were obtained from young and aged patients who underwent surgery. Samples were processed for single-cell RNA sequencing to analyze cellular differences. Cells were isolated and sequenced to identify different cell populations and their gene expression profiles.

resultsSix major cell populations were identified in rotator cuff muscle tissue, including fibroadipogenic progenitor cells (FAPs), satellite cells, endothelial cells, pericytes, macrophages, and T cells. Aged FAPs showed higher expression of senescence markers and genes associated with fibrosis and inflammation. Younger FAPs had higher levels of extracellular matrix remodeling genes. Specifically, ATF3-a senescence marker-was found to be elevated in aged FAPs. In silico analysis highlighted a potential role of ATF3 in regulating FAP differentiation.

conclusionsMarkers of cellular senescence are significantly elevated in older human rotator cuff tissue samples compared with young rotator cuff. Of specific interest is ATF3, a gene that has been previously implicated in regulating adipogenesis, which demonstrates a trend to function in a protective capacity against the formation of fibrosis in computational analysis of our data.

Indexed as

AgingCellular SenescenceRotator CuffRotator Cuff InjuriesAdultAgedAge FactorsFemaleHumansMaleMiddle Agedagingfibroadipogenic progenitorfibrosismusclerotator cuffSenescencesingle-cell RNA

Identifiers

PMID40057173
PMCPMC12108149

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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.