Towards early risk biomarkers: serum metabolic signature in childhood predicts cardio-metabolic risk in adulthood.

ABSTRACT:

Background

Cardiovascular diseases may originate in childhood. Biomarkers identifying individuals with increased risk for disease are needed to support early detection and to optimise prevention strategies.

Methods

In this prospective study, by applying a machine learning to high throughput NMR-based metabolomics data, we identified circulating childhood metabolic predictors of adult cardiovascular disease risk (MetS score) in a cohort of 396 females, followed from childhood (mean age 11·2 years) to early adulthood (mean age 18·1 years). The results obtained from the discovery cohort were validated in a large longitudinal birth cohort of females and males followed from puberty to adulthood (n = 2664) and in four cross-sectional data sets (n = 6341).

Findings

The ident

SUBMITTER: Ojanen X 

PROVIDER: S-EPMC8511803 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature