Multiplatform metabolomics for an integrative exploration of metabolic syndrome in older men.

ABSTRACT:

Background

Metabolic syndrome (MetS), a cluster of factors associated with risks of developing cardiovascular diseases, is a public health concern because of its growing prevalence. Considering the combination of concomitant components, their development and severity, MetS phenotypes are largely heterogeneous, inducing disparity in diagnosis.

Methods

A case/control study was designed within the NuAge longitudinal cohort on aging. From a 3-year follow-up of 123 stable individuals, we present a deep phenotyping approach based on a multiplatform metabolomics and lipidomics untargeted strategy to better characterize metabolic perturbations in MetS and define a comprehensive MetS signature stable over time in older men.

Findings

We characterize significant changes associat

SUBMITTER: Comte B 

PROVIDER: S-EPMC8237302 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature