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Molecular correlates for maximal oxygen uptake (VO2max) and type 1 fibers.

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Author

Summary, in English

Maximal oxygen uptake (VO2max) and the amount of type 1 fibers are interrelated but the underlying unifying molecular mechanisms are poorly understood. To explore these mechanisms we related gene expression profiles in skeletal muscle biopsies of 43 age-matched men from published datasets with VO2max and amount of type 1 fibers and replicated some of the findings in muscle biopsies from 154 young and elderly individuals using real-time PCR. We identified 66 probesets (genes or ESTs) positively and 83 probesets inversely correlated with VO2max and 171 probesets positively and 217 probesets inversely correlated with percentage of type 1 fibers in human skeletal muscle. Genes involved in oxidative phosphorylation (OXPHOS) showed high expression in individuals with high VO2max whereas the opposite was not the case in individuals with low VO2max. Instead, genes like AHNAK and BCL6 were associated with low VO2max. Also, expression of the OXPHOS genes NDUFB5 and ATP5C1 increased with exercise training and decreased with aging. In contrast, expression of AHNAK in skeletal muscle decreased with exercise training and increased with aging. Eleven genes (NDUFB4, COX5A, UQCRB, ATP5C1, ATP5G3, ETHE1, FABP3, ISCA1, MYST4, C9orf3 and PKIA) were positively correlated with both VO2max and percentage of type 1 fibers. VO2max closely reflects expression of OXPHOS genes, particularly of NDUFB5 and ATP5C1 in skeletal muscle suggesting good muscle fitness. In contrast, a high expression of AHNAK was associated with a low VO2max and poor muscle fitness. Key words: VO2max, Type 1 fibers, Aging.

Publishing year

2008

Language

English

Pages

1152-1159

Publication/Series

American Journal of Physiology: Endocrinology and Metabolism

Volume

Apr 29

Document type

Journal article

Publisher

American Physiological Society

Topic

  • Physiology

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology
  • Vascular Diseases - Clinical Research

ISBN/ISSN/Other

  • ISSN: 1522-1555