Remodeling of the human skeletal muscle proteome found after long-term endurance training but not after strength training.

Biological sciences Health sciences Medicine Omics

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
19 Jan 2024
Historique:
received: 30 08 2023
revised: 09 11 2023
accepted: 01 12 2023
medline: 12 1 2024
pubmed: 12 1 2024
entrez: 12 1 2024
Statut: epublish

Résumé

Exercise training has tremendous systemic tissue-specific health benefits, but the molecular adaptations to long-term exercise training are not completely understood. We investigated the skeletal muscle proteome of highly endurance-trained, strength-trained, and untrained individuals and performed exercise- and sex-specific analyses. Of the 6,000+ proteins identified, >650 were differentially expressed in endurance-trained individuals compared with controls. Strikingly, 92% of the shared proteins with higher expression in both the male and female endurance groups were known mitochondrial. In contrast to the findings in endurance-trained individuals, minimal differences were found in strength-trained individuals and between females and males. Lastly, a co-expression network and comparative literature analysis revealed key proteins and pathways related to the health benefits of exercise, which were primarily related to differences in mitochondrial proteins. This network is available as an interactive database resource where investigators can correlate clinical data with global gene and protein expression data for hypothesis generation.

Identifiants

pubmed: 38213622
doi: 10.1016/j.isci.2023.108638
pii: S2589-0042(23)02715-3
pmc: PMC10783619
doi:

Types de publication

Journal Article

Langues

eng

Pagination

108638

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no competing interests.

Auteurs

Eric B Emanuelsson (EB)

Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden.

Muhammad Arif (M)

Science for Life Laboratory, KTH - Royal Institute of Technology, 171 77 Stockholm, Sweden.

Stefan M Reitzner (SM)

Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Department of Women's and Children's Health, Karolinska Institutet, 171 77 Stockholm, Sweden.

Sean Perez (S)

Department of Biology, Pomona College, Claremont, CA 91711, USA.

Maléne E Lindholm (ME)

Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.

Adil Mardinoglu (A)

Science for Life Laboratory, KTH - Royal Institute of Technology, 171 77 Stockholm, Sweden.
Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London WC2R 2LS, UK.

Carsten Daub (C)

Department of Biosciences and Nutrition, Karolinska Institutet, 171 77 Stockholm, Sweden.
Science for Life Laboratory, 171 65 Solna, Sweden.

Carl Johan Sundberg (CJ)

Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Department of Laboratory Medicine, Karolinska Institutet, 141 52 Huddinge, Sweden.
Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, 171 77 Stockholm, Sweden.

Mark A Chapman (MA)

Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Department of Integrated Engineering, University of San Diego, San Diego, CA 92110, USA.

Classifications MeSH