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ABSTRACT: Objective
The purpose of this article is to characterize metabolomic profiles of four overweight/obesity (OWOB) and metabolic risk (MetRisk) phenotypes among 524 adolescents aged approximately 13 years.Methods
A four-level phenotype variable (non-OWOB and low MetRisk, non-OWOB and high MetRisk, OWOB and low MetRisk, and OWOB and high MetRisk) was created using BMI percentile to define OWOB, and high versus low MetRisk was derived as the fourth versus first to third quartiles of a z score calculated as the average of five externally standardized z scores for waist circumference, homeostatic model assessment of insulin resistance, high-density lipoprotein, triglycerides, and systolic blood pressure. Then associations of nine metabolite patterns derived from principal components analysis with phenotype after accounting for age, sex, race, and pubertal status were evaluated.Results
Five metabolite patterns differed with respect to phenotype: factor 1 consisted of long-chain fatty acids and was lower among non-OWOB and high MetRisk (-0.90 [95% CI: -1.39 to -0.42]) versus non-OWOB and low MetRisk (referent); factors 5 (branched-chain amino acids), 8 (diacylglycerols), and 9 (steroid hormones) were highest among OWOB and high MetRisk; and factor 7 (long-chain acylcarnitines) was higher among non-OWOB and high MetRisk (0.47 [95% CI: 0.04 to 0.91]) and lower among OWOB and low MetRisk (-0.36 [95% CI: -0.68 to -0.04]).Conclusions
Long-chain fatty acids, branched-chain amino acids, acylcarnitines, diacylglycerols, and steroid hormones differed by weight status and metabolic phenotype.
SUBMITTER: Perng W
PROVIDER: S-EPMC6980913 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Perng Wei W Rifas-Shiman Sheryl L SL Sordillo Joanne J Hivert Marie-France MF Oken Emily E
Obesity (Silver Spring, Md.) 20191226 2
<h4>Objective</h4>The purpose of this article is to characterize metabolomic profiles of four overweight/obesity (OWOB) and metabolic risk (MetRisk) phenotypes among 524 adolescents aged approximately 13 years.<h4>Methods</h4>A four-level phenotype variable (non-OWOB and low MetRisk, non-OWOB and high MetRisk, OWOB and low MetRisk, and OWOB and high MetRisk) was created using BMI percentile to define OWOB, and high versus low MetRisk was derived as the fourth versus first to third quartiles of a ...[more]