Evidence map›Paper›PMID 35629949›Full record

ArticleMetabolites2022

Effects of Acute and Chronic Resistance Exercise on the Skeletal Muscle Metabolome.

Sebastian Gehlert, Patrick Weinisch, Werner Römisch-Margl, Richard T Jaspers, Anna Artati, Jerzy Adamski, Kenneth A Dyar, Thorben Aussieker, Daniel Jacko, Wilhelm Bloch and 2 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Serum metabolomic profiling reveals load-specific adaptations to resistance training.Metabolomics : Official journal of the Metabolomic Society · 2026
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  15. Exercise metabolism and adaptation in skeletal muscle.Nature reviews. Molecular cell biology · 2023
    Review
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  18. Article
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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

12 authors at 5 institutions in 4 countries.

Sebastian GehlertDepartment for Biosciences of Sports, Institute of Sport Science, University of Hildesheim, 31139 Hildesheim, Germany.ORCID 0000-0001-6940-3084
Patrick WeinischInstitute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Werner Römisch-MarglInstitute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.ORCID 0000-0001-9345-4279
Richard T JaspersDepartment of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Amsterdam Movement Sciences, Vrije Universiteit Amsterdam, 1081 BT Amsterdam, The Netherlands.ORCID 0000-0002-6951-0952
Anna ArtatiMetabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Jerzy AdamskiInstitute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.ORCID 0000-0001-9259-0199
Kenneth A DyarMetabolic Physiology, Institute of Diabetes and Cancer, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Thorben AussiekerInstitute of Cardiovascular Research and Sports Medicine, German Sport University, 50933 Cologne, Germany.
Daniel JackoInstitute of Cardiovascular Research and Sports Medicine, German Sport University, 50933 Cologne, Germany.
Wilhelm BlochInstitute of Cardiovascular Research and Sports Medicine, German Sport University, 50933 Cologne, Germany.
Henning WackerhageDepartment of Sport and Health Sciences, Technical University of Munich, 80809 Munich, Germany.
Gabi KastenmüllerInstitute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Helmholtz Zentrum München · DEGerman Sport University Cologne · DETechnical University of Munich · DEUniversity of Ljubljana · SIVrije Universiteit Amsterdam · NL

Funding

Bundesinstitut für Sportwissenschaft 070106/16-17Bundesinstitut für Sportwissenschaft 070112/13-14
6 · The paper itself

Abstract

Resistance training promotes metabolic health and stimulates muscle hypertrophy, but the precise routes by which resistance exercise (RE) conveys these health benefits are largely unknown.

aimTo investigate how acute RE affects human skeletal muscle metabolism.

methodsWe collected vastus lateralis biopsies from six healthy male untrained volunteers at rest, before the first of 13 RE training sessions, and 45 min after the first and last bouts of RE. Biopsies were analysed using untargeted mass spectrometry-based metabolomics.

resultsWe measured 617 metabolites covering a broad range of metabolic pathways. In the untrained state RE altered 33 metabolites, including increased 3-methylhistidine and N-lactoylvaline, suggesting increased protein breakdown, as well as metabolites linked to ATP (xanthosine) and NAD (N1-methyl-2-pyridone-5-carboxamide) metabolism; the bile acid chenodeoxycholate also increased in response to RE in muscle opposing previous findings in blood. Resistance training led to muscle hypertrophy, with slow type I and fast/intermediate type II muscle fibre diameter increasing by 10.7% and 10.4%, respectively. Comparison of post-exercise metabolite levels between trained and untrained state revealed alterations of 46 metabolites, including decreased N-acetylated ketogenic amino acids and increased beta-citrylglutamate which might support growth. Only five of the metabolites that changed after acute exercise in the untrained state were altered after chronic training, indicating that training induces multiple metabolic changes not directly related to the acute exercise response.

conclusionThe human skeletal muscle metabolome is sensitive towards acute RE in the trained and untrained states and reflects a broad range of adaptive processes in response to repeated stimulation.

Indexed as

beta-citrylglutamatechenodeoxycholatehypertrophymetabolomicsresistance exerciseskeletal muscleskeletal muscle adaptation

Identifiers

PMID35629949
PMCPMC9142957
OpenAlexW4280555277

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.