Circulating MicroRNA Are Predictive of Aging and Acute Adaptive Response to Resistance Exercise in Men

J Gerontol A Biol Sci Med Sci. 2017 Oct 1;72(10):1319-1326. doi: 10.1093/gerona/glw243.

Abstract

Circulating microRNA (c-miRNA) have the potential to function as novel noninvasive markers of the underlying physiological state of skeletal muscle. This investigation sought to determine the influence of aging on c-miRNA expression at rest and following resistance exercise in male volunteers (Young: n = 9; Older: n = 9). Primary findings were that fasting c-miRNA expression profiles were significantly predictive of aging, with miR-19b-3p, miR-206, and miR-486 distinguishing between age groups. Following resistance exercise, principal component analysis revealed a divergent response in expression of 10 c-miRNA, where expression profiles were upregulated in younger and downregulated in older participants. Using Ingenuity Pathway Analysis to test c-miRNA-to-mRNA interactions in skeletal muscle, it was found that response of c-miRNA to exercise was indicative of an anabolic response in younger but not older participants. These findings were corroborated with a positive association observed with the phosphorylation status of p-AktSer473 and p-S6K1Thr389 and expression of miR-19a-3p, miR-19b-3p, miR-20a-5p, miR-26b-5p, miR-143-3p, and miR-195-5p. These important findings provide compelling evidence that dysregulation of c-miRNA expression with aging may not only serve as a predictive marker, but also reflect underlying molecular mechanisms resulting in age-associated declines in skeletal muscle mass, increased fat mass, and "anabolic resistance."

Keywords: Anabolic resistance; miR-19b-3p; miR-206; miR-486.

MeSH terms

  • Adaptation, Physiological / physiology*
  • Aged
  • Aging / physiology*
  • Anthropometry
  • Biomarkers / metabolism
  • Body Composition
  • Humans
  • Male
  • MicroRNAs / metabolism*
  • Muscle, Skeletal / metabolism*
  • Predictive Value of Tests
  • Resistance Training*
  • Young Adult

Substances

  • Biomarkers
  • MicroRNAs