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Dataset Information

Comprehensive Metabolic Phenotyping Refines Cardiovascular Risk in Young Adults.


ABSTRACT:

Background

Whereas cardiovascular disease (CVD) metrics define risk in individuals >40 years of age, the earliest lesions of CVD appear well before this age. Despite the role of metabolism in CVD antecedents, studies in younger, biracial populations to define precise metabolic risk phenotypes are lacking.

Methods

We studied 2330 White and Black young adults (mean age, 32 years; 45% Black) in the CARDIA study (Coronary Artery Risk Development in Young Adults) to identify metabolite profiles associated with an adverse CVD phenome (myocardial structure/function, fitness, vascular calcification), mechanisms, and outcomes over 2 decades. Statistical learning methods (elastic nets/principal components analysis) and Cox regression generated parsimonious, metabolite-based risk score

SUBMITTER: Murthy VL 

PROVIDER: S-EPMC7880553 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature