Prediction of future risk of insulin resistance and metabolic syndrome based on Korean boy's metabolite profiling

• Published in: Obesity research & clinical practice Vol. 9; no. 4; pp. 336 - 345
• Main Authors: Lee, AeJin, Jang, Han Byul, Ra, Moonjin, Choi, Youngshim, Lee, Hye-Ja, Park, Ju Yeon, Kang, Jae Heon, Park, Kyung-Hee, Park, Sang Ick, Song, Jihyun
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Ltd 01-07-2015
• Subjects: Amino Acids, Branched-Chain - blood; Biomarkers - blood; Blood Glucose - metabolism; Body Mass Index; Child; Childhood obesity; Endocrinology & Metabolism; Follow-Up Studies; Genetic Predisposition to Disease - genetics; Humans; Insulin resistance; Insulin Resistance - genetics; Internal Medicine; Male; Metabolic profiling; Metabolic syndrome; Metabolic Syndrome - epidemiology; Metabolic Syndrome - genetics; Metabolic Syndrome - metabolism; Metabolomics - methods; Pediatric Obesity - epidemiology; Pediatric Obesity - genetics; Pediatric Obesity - metabolism; Prevalence; Prospective Studies; Republic of Korea - epidemiology; Risk Factors; AAA; IR; branched-chain amino acids; Metabolic syndrome; 2-AAA; Metabolic profiling; HOMA-IR; aromatic amino acids; PC; Childhood obesity; homeostasis model assessment for insulin resistance; phosphatidyl-choline; sphingomyelin; alpha amino adipic acid; SM; insulin resistance; BCAA; Insulin resistance
• ISSN: 1871-403X; 1878-0318
• DOI: 10.1016/j.orcp.2014.10.220

Summary Objective Childhood obesity is strongly related to future insulin resistance and metabolic syndrome. Thus, identifying early biomarkers of obesity-related diseases based on metabolic profiling is useful to control future metabolic disorders. We compared metabolic profiles between obese and normal-weight children and investigated specific biomarkers of future insulin resistance and metabolic syndrome. Methods In all, 186 plasma metabolites were analysed at baseline and after 2 years in 109 Korean boys (age 10.5 ± 0.4 years) from the Korean Child Obesity Cohort Study using the AbsoluteIDQ™ p180 Kit. Results We observed that levels of 41 metabolites at baseline and 40 metabolites at follow-up were significantly altered in obese children ( p < 0.05). Obese children showed significantly higher levels of branched-chain amino acids (BCAAs) and several acylcarnitines and lower levels of acyl–alkyl phosphatidylcholines. Also, baseline BCAAs were significantly positively correlated with both homeostasis model assessment for insulin resistance (HOMA-IR) and continuous metabolic risk score at the 2-year follow-up. In logistic regression analyses with adjustments for degree of obesity at baseline, baseline BCAA concentration, greater than the median value, was identified as a predictor of future risk of insulin resistance and metabolic syndrome. Conclusion High BCAA concentration could be “early” biomarkers for predicting future metabolic diseases.