Circulating microRNAs and cross sectional and longitudinal measurements of physical functioning and frailty: An

Rossella La Grotta1, Cecilie Agergaard Sørensen2, Asmus Cosmos Skovgaard2

  • 1Department of Biology, Ecology and Earth Sciences, University of Calabria, Via Pietro Bucci, Rende CS, Calabria 87036, Italy; Danish Twin Registry, and Research Unit for Epidemiology, Biodemography and Biostatistics, Department of Public Health, University of Southern Denmark, Campus Vej 55, Odense M 5320, Denmark.

Insights

Circulating microRNAs (miRNAs) show promise as biomarkers for age-related functional decline. Higher miRNA levels correlate with reduced physical function, with longitudinal data offering stronger predictive power.

Area of Science:

  • Gerontology and Molecular Biology
  • Epigenetics and Biomarker Discovery

Background:

  • Aging is characterized by declining physical function, increasing disability, and frailty.
  • MicroRNAs (miRNAs) are epigenetic regulators implicated in physiological processes and aging.

Purpose of the Study:

  • To investigate the association between circulating plasma miRNAs and measures of physical function and frailty.
  • To explore miRNAs as potential biomarkers for age-related functional decline.

Main Methods:

  • Cross-sectional and longitudinal analyses of plasma miRNAs in 86 monozygotic twins (aged 73-88).
  • Assessment of hand grip strength, chair stand, frailty, and activities of daily living (ADL).
  • Twin-pair analyses controlled for genetic confounding.

Main Results:

  • 14 miRNAs were significant in both individual and twin-pair analyses.
  • Longitudinal analysis identified 75-93 miRNAs associated with functional decline.
  • Seven miRNAs showed consistent effects across phenotypes, with most indicating reduced function with increased miRNA levels.
  • miR-1274a was negatively associated with ADL in both cross-sectional and longitudinal analyses.

Conclusions:

  • Circulating miRNAs are associated with age-related functional decline.
  • MiRNAs may serve as valuable biomarkers for predicting functional decline over time.
  • Enrichment analyses suggest involvement of gene expression pathways (p53, FOXO), signal transduction, and RNA metabolism.