Metabolomic profiles and development of metabolic risk during the pubertal transition: a prospective study in the ELEMENT Project.

ABSTRACT:

Objectives

(1) Examine associations of a branched-chain amino acid (BCAA) metabolite pattern with metabolic risk across adolescence; (2) use Least Absolute Shrinkage and Selection Operator (LASSO) to identify novel metabolites of metabolic risk.

Methods

We used linear regression to examine associations of a BCAA score with change (∆) in metabolic biomarkers over 5-year follow-up in 179 adolescents 8-14 years at baseline. Next, we applied LASSO, a regularized regression technique well suited for reduction of high-dimensional data, to identify metabolite predictors of ∆biomarkers.

Results

In boys, the BCAA score corresponded with decreasing C-peptide, C-peptide-based insulin resistance (CP-IR), total cholesterol (TC), and low-density-lipoprotein cholesterol (LDL). In pu

SUBMITTER: Perng W 

PROVIDER: S-EPMC6377825 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature