Wu Yan, Su Wu, Qianqi Liu, Qingqing Zheng, Wei Gu, Xiaonan Li
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Random forests were used to rank the importance of differential metabolites, and relative operating characteristic curves were used for prediction.</p><p><strong>Results: </strong>A total of 88 normal-weight children and 171 obese/overweight children participated in the study. There was a significant difference between the two groups in 30 metabolites. Childhood obesity was significantly associated with 10 amino acid metabolites and 20 fatty acid metabolites. There were 12 metabolites significantly correlated with IR. The ranking of metabolites in random forest showed that glutamine, tyrosine, and alanine were important in amino acids, and pyruvic-ox-2, ethylmalonic-2, and phenyllactic-2 were important in fatty acids. The area under the curve of body mass index standard deviation score (BMI-SDS) combined with key amino acid metabolites and fatty acid metabolites for predicting IR was 80.0% and 76.6%, respectively.</p><p><strong>Conclusions: </strong>There are common key metabolites related to IR and obese children, and these key metabolites combined with BMI-SDS could effectively predict the risk of IR.</p>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":" ","pages":"1020-1028"},"PeriodicalIF":3.0000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10755598/pdf/","citationCount":"0","resultStr":"{\"title\":\"The link between obesity and insulin resistance among children: Effects of key metabolites.\",\"authors\":\"Wu Yan, Su Wu, Qianqi Liu, Qingqing Zheng, Wei Gu, Xiaonan Li\",\"doi\":\"10.1111/1753-0407.13460\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Childhood obesity became a severe public health challenge, and insulin resistance (IR) was one of the common complications. 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引用次数: 0
摘要
背景:儿童肥胖已成为一项严峻的公共卫生挑战,而胰岛素抵抗(IR)则是常见的并发症之一。肥胖和胰岛素抵抗都被认为是代谢紊乱的基础。然而,目前还不清楚哪些常见的关键代谢物与儿童肥胖和胰岛素抵抗有关:方法:将儿童分为正常体重组和超重/肥胖组。方法:将儿童分为正常体重组和超重/肥胖组,测量空腹血糖和空腹胰岛素,并计算胰岛素抵抗的平衡模型评估值。采用液相色谱-串联质谱法进行代谢组学分析。多元线性回归分析和相关分析探讨了肥胖、胰岛素抵抗和代谢物之间的关系。使用随机森林对不同代谢物的重要性进行排序,并使用相对工作特征曲线进行预测:结果:共有88名正常体重儿童和171名肥胖/超重儿童参与了研究。两组儿童在 30 种代谢物上存在明显差异。儿童肥胖与 10 种氨基酸代谢物和 20 种脂肪酸代谢物有明显相关性。有 12 种代谢物与红外显著相关。随机森林对代谢物的排序显示,谷氨酰胺、酪氨酸和丙氨酸在氨基酸中占重要地位,丙酮酸-氧-2、乙基丙二酸-2和苯基乳酸-2在脂肪酸中占重要地位。体重指数标准偏差评分(BMI-SDS)结合关键氨基酸代谢物和脂肪酸代谢物预测 IR 的曲线下面积分别为 80.0% 和 76.6%:结论:有一些常见的关键代谢物与 IR 和肥胖儿童有关,这些关键代谢物与 BMI-SDS 结合可有效预测 IR 的风险。
The link between obesity and insulin resistance among children: Effects of key metabolites.
Background: Childhood obesity became a severe public health challenge, and insulin resistance (IR) was one of the common complications. Both obesity and IR were considered as the basis of metabolic disorders. However, it is unclear which common key metabolites are associated with childhood obesity and IR.
Methods: The children were divided into normal weight and overweight/obese groups. Fasting blood glucose and fasting insulin were measured, and homeostasis model assessment of insulin resistance was calculated. Liquid chromatography-tandem mass spectrometry was applied for metabonomic analysis. Multiple linear regression analysis and correlation analysis explored the relationships between obesity, IR, and metabolites. Random forests were used to rank the importance of differential metabolites, and relative operating characteristic curves were used for prediction.
Results: A total of 88 normal-weight children and 171 obese/overweight children participated in the study. There was a significant difference between the two groups in 30 metabolites. Childhood obesity was significantly associated with 10 amino acid metabolites and 20 fatty acid metabolites. There were 12 metabolites significantly correlated with IR. The ranking of metabolites in random forest showed that glutamine, tyrosine, and alanine were important in amino acids, and pyruvic-ox-2, ethylmalonic-2, and phenyllactic-2 were important in fatty acids. The area under the curve of body mass index standard deviation score (BMI-SDS) combined with key amino acid metabolites and fatty acid metabolites for predicting IR was 80.0% and 76.6%, respectively.
Conclusions: There are common key metabolites related to IR and obese children, and these key metabolites combined with BMI-SDS could effectively predict the risk of IR.
期刊介绍:
Journal of Diabetes (JDB) devotes itself to diabetes research, therapeutics, and education. It aims to involve researchers and practitioners in a dialogue between East and West via all aspects of epidemiology, etiology, pathogenesis, management, complications and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. The Editorial team is international with a unique mix of Asian and Western participation.
The Editors welcome submissions in form of original research articles, images, novel case reports and correspondence, and will solicit reviews, point-counterpoint, commentaries, editorials, news highlights, and educational content.