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 pubertal girls, the BCAA pattern corresponded with increasing C-peptide and leptin. LASSO identified asparagine as a predictor of decreasing C-peptide (β = -0.33) and CP-IR (β = -0.012), and acetyl-carnitine (β = 2.098), 4-hydroxyproline (β = -0.050), ornithine (β = -0.353), and α-aminoisobutyric acid (β = -0.793) as determinants of TC in boys. In girls, histidine was a negative determinant of TC (β = -0.033). CONCLUSIONS:The BCAA pattern was associated with ∆glycemia and ∆lipids in a sex-specific manner. LASSO identified asparagine, which influences growth hormone secretion, as a determinant of decreasing C-peptide and CP-IR in boys, and metabolites on lipid metabolism pathways as determinants of decreasing cholesterol in both sexes.

journal_name

Pediatr Res

journal_title

Pediatric research

authors

Perng W,Tang L,Song PXK,Tellez-Rojo MM,Cantoral A,Peterson KE

doi

10.1038/s41390-018-0195-5

subject

Has Abstract

pub_date

2019-02-01 00:00:00

pages

262-268

issue

3

eissn

0031-3998

issn

1530-0447

pii

10.1038/s41390-018-0195-5

journal_volume

85

pub_type

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