Association between circulating micro-ribonucleic acids and metabolic syndrome in older adults from a population-based study

Clin Nutr ESPEN. 2023 Dec:58:320-325. doi: 10.1016/j.clnesp.2023.10.012. Epub 2023 Oct 21.

Abstract

Background and aims: Aging is a major factor in development of chronic non-communicable diseases (NCD). Epigenetic causes are risk factors in NCD development since studies indicate that the expression of micro-ribonucleic acids (miRs) is altered under different clinical conditions. This study aimed to analyze the expression profile of circulating miRs and investigate their association with biomarkers of cardiometabolic risk in older adults living in São Paulo municipality, Brazil.

Methods: A cross-sectional study was conducted based on the analysis of data from 200 older adults, with a mean age of 69.1 (0.5) years old participating in the ISA-Nutrition. The expression profiles of 21 plasma miRs related to glycemic and lipid metabolism, adiposity, and inflammation were evaluated in relation to cardiometabolic risk. Individuals were distributed into groups according to diagnosis of metabolic syndrome (MetS). The Stata Somersd module was used to calculate confidence intervals for Kendall's tau-a to estimate the correlations among variables.

Results: Differences in the plasma expression were observed in two of the 21 miRs evaluated according to the MetS presence in participants. Individuals with MetS showed higher expression of miR-30a and miR-122 than individuals without MetS.

Conclusions: Considering that miR-30, and miR-122 were altered due to MetS, these miRs may be potential biomarkers for MetS in older adults.

Keywords: Chronic non-communicable diseases; Circulating microRNA; Inflammation; Metabolic syndrome.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Biomarkers
  • Brazil / epidemiology
  • Cardiovascular Diseases*
  • Cross-Sectional Studies
  • Humans
  • Infant
  • Metabolic Syndrome*
  • MicroRNAs* / metabolism
  • Noncommunicable Diseases*

Substances

  • MicroRNAs
  • Biomarkers