Evidence map›Paper›PMID 33580198›Full record

ArticleCommunications biology2021

Molecular and phenotypic analysis of rodent models reveals conserved and species-specific modulators of human sarcopenia.

Anastasiya Börsch, Daniel J Ham, Nitish Mittal, Lionel A Tintignac, Eugenia Migliavacca, Jérôme N Feige, Markus A Rüegg, Mihaela Zavolan

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
5.0field-weighted citation impact, top 3% 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

62 citing papers in PubMed, 81 citations in OpenAlex.

  1. Trial
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  10. Cellular Senescence in Skeletal Muscle Aging.Endocrinology and metabolism (Seoul, Korea) · 2026
    Review
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  17. Observational
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  20. Molecular Framework of the Onset and Progression of Skeletal Muscle Aging.International journal of molecular sciences · 2025
    Review

2 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

8 authors at 3 institutions in 1 country.

Anastasiya Börsch *Biozentrum, University of Basel and Swiss Institute of Bioinformatics, Basel, Switzerland.
Daniel J Ham *Biozentrum, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-4552-8373
Nitish MittalBiozentrum, University of Basel and Swiss Institute of Bioinformatics, Basel, Switzerland.
Lionel A TintignacDepartment of Biomedicine, Pharmazentrum, University of Basel, Basel, Switzerland.
Eugenia MigliavaccaNestlé Research, EPFL Innovation Park, Lausanne, Switzerland.
Jérôme N FeigeNestlé Research, EPFL Innovation Park, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-4751-264X
Markus A RüeggBiozentrum, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-4974-9384
Mihaela ZavolanBiozentrum, University of Basel and Swiss Institute of Bioinformatics, Basel, Switzerland. mihaela.zavolan@unibas.ch.ORCID http://orcid.org/0000-0002-8832-2041
SIB Swiss Institute of Bioinformatics · CHUniversity of Basel · CHNestlé (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia, the age-related loss of skeletal muscle mass and function, affects 5-13% of individuals aged over 60 years. While rodents are widely-used model organisms, which aspects of sarcopenia are recapitulated in different animal models is unknown. Here we generated a time series of phenotypic measurements and RNA sequencing data in mouse gastrocnemius muscle and analyzed them alongside analogous data from rats and humans. We found that rodents recapitulate mitochondrial changes observed in human sarcopenia, while inflammatory responses are conserved at pathway but not gene level. Perturbations in the extracellular matrix are shared by rats, while mice recapitulate changes in RNA processing and autophagy. We inferred transcription regulators of early and late transcriptome changes, which could be targeted therapeutically. Our study demonstrates that phenotypic measurements, such as muscle mass, are better indicators of muscle health than chronological age and should be considered when analyzing aging-related molecular data.

Indexed as

TranscriptomeAge FactorsAgingAnimalsBody CompositionDisease Models, AnimalDisease ProgressionGene Expression RegulationHumansMaleMiceMice, Inbred C57BLMuscle, SkeletalPhenotypeRatsSarcopenia

Identifiers

PMID33580198
PMCPMC7881157
OpenAlexW3126225491

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.