Serum metabolites associate with lipid phenotypes among Bogalusa Heart Study participants.

ABSTRACT:

Background and aims

Dyslipidemia has been identified as a major risk factor for cardiovascular disease. We aimed to identify metabolites and metabolite modules showing novel association with lipids among Bogalusa Heart Study (BHS) participants using untargeted metabolomics.

Methods and results

Untargeted ultrahigh performance liquid chromatography-tandem mass spectroscopy was used to quantify serum metabolites of 1 243 BHS participants (816 whites and 427 African-Americans). The association of single metabolites with lipids was assessed using multiple linear regression models to adjust for covariables. Weighted correlation network analysis was utilized to identify modules of co-abundant metabolites and examine their covariable adjusted correlations with lipids. All analyses

SUBMITTER: Gu X 

PROVIDER: S-EPMC7524581 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature