Muscle fiber typology substantially influences time to recover from high-intensity exercise.


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:
01 03 2020
Historique:
pubmed: 31 1 2020
medline: 24 6 2021
entrez: 31 1 2020
Statut: ppublish

Résumé

Human fast-twitch muscle fibers generate high power in a short amount of time but are easily fatigued, whereas slow-twitch fibers are more fatigue resistant. The transfer of this knowledge to coaching is hampered by the invasive nature of the current evaluation of muscle typology by biopsies. Therefore, a noninvasive method was developed to estimate muscle typology through proton magnetic resonance spectroscopy in the gastrocnemius. The aim of this study was to investigate whether male subjects with an a priori-determined fast typology (FT) are characterized by a more pronounced Wingate exercise-induced fatigue and delayed recovery compared with subjects with a slow typology (ST). Ten subjects with an estimated higher percentage of fast-twitch fibers and 10 subjects with an estimated higher percentage of slow-twitch fibers underwent the test protocol, consisting of three 30-s all-out Wingate tests. Recovery of knee extension torque was evaluated by maximal voluntary contraction combined with electrical stimulation up to 5 h after the Wingate tests. Although both groups delivered the same mean power across all Wingates, the power drop was higher in the FT group (-61%) compared with the ST group (-41%). The torque at maximal voluntary contraction had fully recovered in the ST group after 20 min, whereas the FT group had not yet recovered 5 h into recovery. This noninvasive estimation of muscle typology can predict the extent of fatigue and time to recover following repeated all-out exercise and may have applications as a tool to individualize training and recovery cycles.

Identifiants

pubmed: 31999527
doi: 10.1152/japplphysiol.00636.2019
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

648-659

Auteurs

Eline Lievens (E)

Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.

Malgorzata Klass (M)

Laboratory of Applied Biology and Research Unit in Applied Neurophysiology, ULB Neuroscience Institute, Université libre de Bruxelles, Brussels, Belgium.

Tine Bex (T)

Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.

Wim Derave (W)

Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.

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Classifications MeSH