Fast and Slow Muscle Fiber Transcriptome Dynamics with Lifelong Endurance Exercise.

Aging Exercise Masters Athletes Skeletal Muscle Transcriptome

Journal

Journal of applied physiology (Bethesda, Md. : 1985)
ISSN: 1522-1601
Titre abrégé: J Appl Physiol (1985)
Pays: United States
ID NLM: 8502536

Informations de publication

Date de publication:
14 Dec 2023
Historique:
medline: 14 12 2023
pubmed: 14 12 2023
entrez: 14 12 2023
Statut: aheadofprint

Résumé

We investigated fast and slow muscle fiber transcriptome exercise dynamics among three groups of men: Lifelong exercisers (LLE, n=8, 74±1 y), old healthy non-exercisers (OH, n=9, 75±1 y), and young exercisers (YE, n=8, 25±1 y). Muscle biopsies were obtained pre- and 4h post-resistance exercise (3x10 knee extensions, 70% 1-RM). Fast and slow fiber size and function were assessed pre-exercise with fast and slow RNA-seq examined pre- and post-exercise. LLE fast fiber size was similar to OH, which were ~30% smaller than YE (P<0.05) with contractile function variables among groups resulting in lower power in LLE (P<0.05). LLE slow fibers were ~30% larger and more powerful compared to YE and OH (P<0.05). At the transcriptome level, fast fibers were more responsive to resistance exercise compared to slow fibers among all three cohorts (P<0.05). Exercise induced a comprehensive biological response in fast fibers (P<0.05) including transcription, signaling, skeletal muscle cell differentiation, and metabolism with vast differences among the groups. Fast fibers from YE exhibited a growth and metabolic signature, with LLE being primarily metabolic, and OH showing a strong stress related response. In slow fibers, only LLE exhibited a biological response to exercise (P<0.05), which was related to ketone and lipid metabolism. The divergent exercise transcriptome signatures provide novel insight into the molecular regulation in fast and slow fibers with age and exercise and suggest that the ~5% weekly exercise time commitment of the lifelong exercisers provided a powerful investment for fast and slow muscle fiber metabolic health at the molecular level.

Identifiants

pubmed: 38095016
doi: 10.1152/japplphysiol.00442.2023
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : HHS | National Institutes of Health (NIH)
ID : R01-AG38576

Auteurs

Ulrika Raue (U)

Human Performance Laboratory, Ball State University, Muncie, Indiana, United States.

Gwenaelle Begue (G)

Kinesiology, Ball State University, Sacramento, CA, United States.

Kiril Minchev (K)

Human Performance Laboratory, Ball State University, Muncie, IN, United States.

Bozena Jemiolo (B)

Human Performance Laboratory, Ball State University, Muncie, Indiana, United States.

Kevin J Gries (KJ)

Human Performance Laboratory, Ball State University, Muncie, IN, United States.

Toby Chambers (T)

Human Performance Laboratory, Ball State University, Muncie, IN, United States.

Aliza Rubenstein (A)

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Elena Zaslavsky (E)

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Stuart C Sealfon (SC)

Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Todd Trappe (T)

Human Performance Laboratory, Ball State University, Muncie, IN, United States.

Scott Trappe (S)

Human Performance Laboratory, Ball State University, Muncie, IN, United States.

Classifications MeSH