Evidence map›Paper›PMID 32992998›Full record

ArticleInternational journal of molecular sciences2020

Remodeling the Skeletal Muscle Extracellular Matrix in Older Age-Effects of Acute Exercise Stimuli on Gene Expression.

Matthias Gumpenberger, Barbara Wessner, Alexandra Graf, Marco V Narici, Christian Fink, Sepp Braun, Christian Hoser, Anthony J Blazevich, Robert Csapo

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  10. Identification of shared key genes and pathways in osteoarthritis and sarcopenia patients based on bioinformatics analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
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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

9 authors at 5 institutions in 3 countries.

Matthias GumpenbergerResearch Unit for Orthopaedic Sports Medicine and Injury Prevention, Private University for Health Sciences, Medical Informatics and Technology, Hall 6060, Austria.
Barbara WessnerCentre for Sport Science and University Sports, University of Vienna, Vienna 1150, Austria.ORCID 0000-0002-9061-7914
Alexandra GrafInstitute for Medical Statistics, CeMSIIS, Medical University of Vienna, Vienna 1090, Austria.
Marco V NariciCirMyo Myology Center, Department of Biomedical Sciences, University of Padua, 35131 Padua, Italy.ORCID 0000-0003-0167-1845
Christian FinkResearch Unit for Orthopaedic Sports Medicine and Injury Prevention, Private University for Health Sciences, Medical Informatics and Technology, Hall 6060, Austria.
Sepp BraunResearch Unit for Orthopaedic Sports Medicine and Injury Prevention, Private University for Health Sciences, Medical Informatics and Technology, Hall 6060, Austria.
Christian HoserResearch Unit for Orthopaedic Sports Medicine and Injury Prevention, Private University for Health Sciences, Medical Informatics and Technology, Hall 6060, Austria.
Anthony J BlazevichCentre for Exercise and Sports Science Research (CESSR), School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA 6027, Australia.ORCID 0000-0003-1664-1614
Robert CsapoResearch Unit for Orthopaedic Sports Medicine and Injury Prevention, Private University for Health Sciences, Medical Informatics and Technology, Hall 6060, Austria.ORCID 0000-0003-3571-2799
Gelenkpunkt · ATEdith Cowan University · AUMedical University of Vienna · ATUniversity of Padua · ITUniversity of Vienna · AT

Funding

Austrian Science Fund FWF KLI 738
6 · The paper itself

Abstract

With advancing age, the skeletal muscle extracellular matrix (ECM) undergoes fibrotic changes that may lead to increased muscle stiffness, injury susceptibility and strength loss. This study tested the potential of different exercises to counter these changes by stimulating the activity of genes associated with ECM remodeling. Twenty-six healthy men (66.9 ± 3.9 years) were stratified to two of four groups, performing unilateral (i) conventional resistance exercise, (ii) conventional resistance exercise followed by self-myofascial release (CEBR), (iii) eccentric-only exercise (ECC) or (iv) plyometric jumps (PLY). The non-trained leg served as control. Six hours post-exercise, vastus lateralis muscle biopsy samples were analyzed for the expression of genes associated with ECM collagen synthesis (COL1A1), matrix metallopeptidases (collagen degradation; MMPs) and peptidase inhibitors (TIMP1). Significant between-group differences were found for MMP3, MMP15 and TIMP1, with the greatest responses in MMP3 and TIMP1 seen in CEBR and in MMP15 in ECC. MMP9 (3.24-3.81-fold change) and COL1A1 (1.47-2.40-fold change) were increased in CEBR and PLY, although between-group differences were non-significant. The expression of ECM-related genes is exercise-specific, with CEBR and PLY triggering either earlier or stronger remodeling than other stimuli. Training studies will test whether execution of such exercises may help counter age-associated muscle fibrosis.

Indexed as

Exercise TherapyMuscle, SkeletalAgedAgingCollagen Type ICollagen Type I, alpha 1 ChainExerciseExtracellular MatrixFibrosisGene ExpressionHealthy VolunteersHumansMaleMatrix MetalloproteinasesMiddle AgedTissue Inhibitor of Metalloproteinase-1Collagen Type ICollagen Type I, alpha 1 ChainMatrix MetalloproteinasesTIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1fibrosisintramuscular connective tissueplyometricsresistance trainingsarcopenia

Identifiers

PMID32992998
PMCPMC7583913
OpenAlexW3088512678

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.