Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic Review

A growing body of evidence has shown the intimate relationship between metabolomic profiles and insulin resistance (IR) in obese adults, while little is known about childhood obesity. In this review, we searched available papers addressing metabolomic profiles and IR in obese children from inception...

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Main Authors: Xue Zhao, Xiaokun Gang, Yujia Liu, Chenglin Sun, Qing Han, Guixia Wang
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Diabetes Research
Online Access:http://dx.doi.org/10.1155/2016/8160545
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author Xue Zhao
Xiaokun Gang
Yujia Liu
Chenglin Sun
Qing Han
Guixia Wang
author_facet Xue Zhao
Xiaokun Gang
Yujia Liu
Chenglin Sun
Qing Han
Guixia Wang
author_sort Xue Zhao
collection DOAJ
description A growing body of evidence has shown the intimate relationship between metabolomic profiles and insulin resistance (IR) in obese adults, while little is known about childhood obesity. In this review, we searched available papers addressing metabolomic profiles and IR in obese children from inception to February 2016 on MEDLINE, Web of Science, the Cochrane Library, ClinicalTrials.gov, and EMASE. HOMA-IR was applied as surrogate markers of IR and related metabolic disorders at both baseline and follow-up. To minimize selection bias, two investigators independently completed this work. After critical selection, 10 studies (including 2,673 participants) were eligible and evaluated by using QUADOMICS for quality assessment. Six of the 10 studies were classified as “high quality.” Then we generated all the metabolites identified in each study and found amino acid metabolism and lipid metabolism were the main affected metabolic pathways in obese children. Among identified metabolites, branched-chain amino acids (BCAAs), aromatic amino acids (AAAs), and acylcarnitines were reported to be associated with IR as biomarkers most frequently. Additionally, BCAAs and tyrosine seemed to be relevant to future metabolic risk in the long-term follow-up cohorts, emphasizing the importance of early diagnosis and prevention strategy. Because of limited scale and design heterogeneity of existing studies, future studies might focus on validating above findings in more large-scale and longitudinal studies with elaborate design.
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spelling doaj-art-9b71e38f90cd4cfbab86780adaaa77132025-08-20T02:18:25ZengWileyJournal of Diabetes Research2314-67452314-67532016-01-01201610.1155/2016/81605458160545Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic ReviewXue Zhao0Xiaokun Gang1Yujia Liu2Chenglin Sun3Qing Han4Guixia Wang5Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, ChinaDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, ChinaDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, ChinaDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, ChinaHospital of Orthopedics, The Second Hospital of Jilin University, Changchun 130021, ChinaDepartment of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, ChinaA growing body of evidence has shown the intimate relationship between metabolomic profiles and insulin resistance (IR) in obese adults, while little is known about childhood obesity. In this review, we searched available papers addressing metabolomic profiles and IR in obese children from inception to February 2016 on MEDLINE, Web of Science, the Cochrane Library, ClinicalTrials.gov, and EMASE. HOMA-IR was applied as surrogate markers of IR and related metabolic disorders at both baseline and follow-up. To minimize selection bias, two investigators independently completed this work. After critical selection, 10 studies (including 2,673 participants) were eligible and evaluated by using QUADOMICS for quality assessment. Six of the 10 studies were classified as “high quality.” Then we generated all the metabolites identified in each study and found amino acid metabolism and lipid metabolism were the main affected metabolic pathways in obese children. Among identified metabolites, branched-chain amino acids (BCAAs), aromatic amino acids (AAAs), and acylcarnitines were reported to be associated with IR as biomarkers most frequently. Additionally, BCAAs and tyrosine seemed to be relevant to future metabolic risk in the long-term follow-up cohorts, emphasizing the importance of early diagnosis and prevention strategy. Because of limited scale and design heterogeneity of existing studies, future studies might focus on validating above findings in more large-scale and longitudinal studies with elaborate design.http://dx.doi.org/10.1155/2016/8160545
spellingShingle Xue Zhao
Xiaokun Gang
Yujia Liu
Chenglin Sun
Qing Han
Guixia Wang
Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic Review
Journal of Diabetes Research
title Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic Review
title_full Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic Review
title_fullStr Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic Review
title_full_unstemmed Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic Review
title_short Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic Review
title_sort using metabolomic profiles as biomarkers for insulin resistance in childhood obesity a systematic review
url http://dx.doi.org/10.1155/2016/8160545
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