Evidence map›Paper›PMID 33795677›Full record

ArticleNature communications2021

Skeletal muscle transcriptome in healthy aging.

Robert A Tumasian, Abhinav Harish, Gautam Kundu, Jen-Hao Yang, Ceereena Ubaida-Mohien, Marta Gonzalez-Freire, Mary Kaileh, Linda M Zukley, Chee W Chia, Alexey Lyashkov and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% of its field
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

91 citing papers in PubMed, 1 synthesis or guideline pooled it, 118 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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  5. Article
  6. Article
  7. ReducedbioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Cellular Senescence in Skeletal Muscle Aging.Endocrinology and metabolism (Seoul, Korea) · 2026
    Review
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  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

31 more citing papers are in PubMed but not listed here.

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

18 authors at 1 institution in 1 country.

Robert A TumasianNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-7389-1607
Abhinav HarishNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Gautam KunduNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Jen-Hao YangNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Ceereena Ubaida-MohienNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Marta Gonzalez-FreireNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Mary KailehNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Linda M ZukleyNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Chee W ChiaNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Alexey LyashkovNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
William H WoodNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Yulan PiaoNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Christopher ColettaNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Jun DingNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Myriam GorospeNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Ranjan SenNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Supriyo DeNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA.
Luigi FerrucciNational Institute on Aging-Intramural Research Program, National Institutes of Health, Baltimore, MD, USA. FerrucciLu@grc.nia.nih.gov.ORCID http://orcid.org/0000-0002-6273-1613
National Institutes of Health · US

Funding

Post-transcriptional regulation of energy usage: glucose and lipid metabolismZIAAG000394 · NIA · NATIONAL INSTITUTE ON AGING · PI GOROSPE, MYRIAM · 2009 to 2025
$18.7M
Analysis of complex biological systems by microarray based gene expressionZICAG000616 · NIA · NATIONAL INSTITUTE ON AGING · PI DE, SUPRIYO · 2009 to 2025
$15.5M
Statistical genetics of aging-related genomic and phenotypic changeZIAAG000693 · NIA · NATIONAL INSTITUTE ON AGING · PI DING, JUN · 2011 to 2025
$12.5M
GESTALT-Genetic and Epigenetic Signatures of Translational Aging Laboratory TestingZIAAG000996 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2015 to 2025
$7.6M
Age-associated alterations in pro-inflammatory gene expression in humansZIAAG000386 · NIA · NATIONAL INSTITUTE ON AGING · PI SEN, RANJAN · 2009 to 2025
$4.8M
6 · The paper itself

Abstract

Age-associated changes in gene expression in skeletal muscle of healthy individuals reflect accumulation of damage and compensatory adaptations to preserve tissue integrity. To characterize these changes, RNA was extracted and sequenced from muscle biopsies collected from 53 healthy individuals (22-83 years old) of the GESTALT study of the National Institute on Aging-NIH. Expression levels of 57,205 protein-coding and non-coding RNAs were studied as a function of aging by linear and negative binomial regression models. From both models, 1134 RNAs changed significantly with age. The most differentially abundant mRNAs encoded proteins implicated in several age-related processes, including cellular senescence, insulin signaling, and myogenesis. Specific mRNA isoforms that changed significantly with age in skeletal muscle were enriched for proteins involved in oxidative phosphorylation and adipogenesis. Our study establishes a detailed framework of the global transcriptome and mRNA isoforms that govern muscle damage and homeostasis with age.

Indexed as

TranscriptomeAdultAgedAged, 80 and overFemaleGene Expression ProfilingHealthy AgingHomeostasisHumansMaleMiddle AgedMuscle, SkeletalMuscular DiseasesRNA IsoformsRNA, MessengerRNA, UntranslatedRNA IsoformsRNA, MessengerRNA, Untranslated

Identifiers

PMID33795677
PMCPMC8016876
OpenAlexW3142606313

What OpenQuestion holds

Textmetadata
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.