Evidence map›Paper›PMID 21106073›Full record

Trial reportBMC genomics2010

Skeletal muscle gene expression in response to resistance exercise: sex specific regulation.

Dongmei Liu, Maureen A Sartor, Gustavo A Nader, Laurie Gutmann, Mary K Treutelaar, Emidio E Pistilli, Heidi B Iglayreger, Charles F Burant, Eric P Hoffman, Paul M Gordon

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 9% 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

64 citing papers in PubMed, 3 syntheses or guidelines pooled it, 119 citations in OpenAlex.

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  18. Sexual dimorphisms in skeletal muscle: current concepts and research horizons.Journal of applied physiology (Bethesda, Md. : 1985) · 2024
    Review
  19. Article
  20. Article

4 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

10 authors at 5 institutions in 2 countries.

Dongmei LiuDept. of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, USA.
Maureen A Sartor
Gustavo A Nader
Laurie Gutmann
Mary K Treutelaar
Emidio E Pistilli
Heidi B Iglayreger
Charles F Burant
Eric P Hoffman
Paul M Gordon
University of Michigan–Ann Arbor · USChildren's National · USKarolinska Institutet · SEUniversity of Pennsylvania · USWest Virginia University · US

Funding

Functional SNP's Assoc with Human Muscle Size &StrengthR01NS040606 · NINDS · CHILDREN'S RESEARCH INSTITUTE · PI HOFFMAN, ERIC P · 2001 to 2004
$4.7M
NINDS NIH HHS R01 NS40606-01
6 · The paper itself

Abstract

backgroundThe molecular mechanisms underlying the sex differences in human muscle morphology and function remain to be elucidated. The sex differences in the skeletal muscle transcriptome in both the resting state and following anabolic stimuli, such as resistance exercise (RE), might provide insight to the contributors of sexual dimorphism of muscle phenotypes. We used microarrays to profile the transcriptome of the biceps brachii of young men and women who underwent an acute unilateral RE session following 12 weeks of progressive training. Bilateral muscle biopsies were obtained either at an early (4 h post-exercise) or late recovery (24 h post-exercise) time point. Muscle transcription profiles were compared in the resting state between men (n = 6) and women (n = 8), and in response to acute RE in trained exercised vs. untrained non-exercised control muscle for each sex and time point separately (4 h post-exercise, n = 3 males, n = 4 females; 24 h post-exercise, n = 3 males, n = 4 females). A logistic regression-based method (LRpath), following Bayesian moderated t-statistic (IMBT), was used to test gene functional groups and biological pathways enriched with differentially expressed genes.

resultsThis investigation identified extensive sex differences present in the muscle transcriptome at baseline and following acute RE. In the resting state, female muscle had a greater transcript abundance of genes involved in fatty acid oxidation and gene transcription/translation processes. After strenuous RE at the same relative intensity, the time course of the transcriptional modulation was sex-dependent. Males experienced prolonged changes while females exhibited a rapid restoration. Most of the biological processes involved in the RE-induced transcriptional regulation were observed in both males and females, but sex specificity was suggested for several signaling pathways including activation of notch signaling and TGF-beta signaling in females. Sex differences in skeletal muscle transcriptional regulation might implicate a mechanism behind disproportional muscle growth in males as compared with female counterparts after RE training at the same relative intensity.

conclusionsSex differences exist in skeletal muscle gene transcription both at rest and following acute RE, suggesting that sex is a significant modifier of the transcriptional regulation in skeletal muscle. The findings from the present study provide insight into the molecular mechanisms for sex differences in muscle phenotypes and for muscle transcriptional regulation associated with training adaptations to resistance exercise.

Indexed as

Gene Expression RegulationResistance TrainingSex CharacteristicsAdultCluster AnalysisDown-RegulationFemaleGene Expression ProfilingGene Regulatory NetworksHumansMaleMuscle, SkeletalOrgan SpecificityReproducibility of ResultsRestReverse Transcriptase Polymerase Chain Reaction

Identifiers

PMID21106073
PMCPMC3091777
OpenAlexW2147140735

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.