AeJin Lee1, Han Byul Jang1, Moonjin Ra1, Youngshim Choi1, Hye-Ja Lee1, Ju Yeon Park1, Jae Heon Kang2, Kyung-Hee Park3, Sang Ick Park1, Jihyun Song4. 1. Division of Metabolic Diseases, Center for Biomedical Sciences, National Institute of Health, 187 Osongsaengmyeong 2-ro, Osong-eup, Cheongju, Chungcheongbuk-do 363-700, South Korea. 2. Department of Family Medicine, Hallym University Sacred Heart Hospital, Hallym University, Anyang, Gyeonggi-do 431-796, South Korea. 3. Department of Family Medicine, Obesity Research Institute, Seoul Paik Hospital, College of Medicine, Inje University, Seoul 100-032, South Korea. 4. Division of Brain Diseases, Center for Biomedical Sciences, National Institute of Health, 187 Osongsaengmyeong 2-ro, Osong-eup, Cheongju, Chungcheongbuk-do 363-700, South Korea. Electronic address: jhsong10@korea.kr.
Abstract
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.
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 ChildObesity 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 obesechildren (p<0.05). Obesechildren 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.
Authors: G Á Martos-Moreno; A Mastrangelo; V Barrios; A García; J A Chowen; F J Rupérez; C Barbas; J Argente Journal: Int J Obes (Lond) Date: 2017-06-07 Impact factor: 5.095
Authors: Christian Hellmuth; Franca Fabiana Kirchberg; Nina Lass; Ulrike Harder; Wolfgang Peissner; Berthold Koletzko; Thomas Reinehr Journal: J Diabetes Res Date: 2015-12-21 Impact factor: 4.011