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代谢健康型肥胖与异常肥胖中的代谢组学分析及通路分析

The metabolome profiling and pathway analysis in metabolic healthy and abnormal obesity.

作者信息

Chen H-H, Tseng Y J, Wang S-Y, Tsai Y-S, Chang C-S, Kuo T-C, Yao W-J, Shieh C-C, Wu C-H, Kuo P-H

机构信息

Department of Public Health and Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.

1] School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan [2] Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan [3] Graduate Institute of Biomedical Electronic and Bioinformatics, National Taiwan University, Taipei, Taiwan [4] The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, Taipei, Taiwan.

出版信息

Int J Obes (Lond). 2015 Aug;39(8):1241-8. doi: 10.1038/ijo.2015.65. Epub 2015 Apr 24.

Abstract

OBJECTIVES

Mechanisms of the development of abnormal metabolic phenotypes among obese population are not yet clear. In this study, we aimed to screen metabolomes of both healthy and subjects with abnormal obesity to identify potential metabolic pathways that may regulate the different metabolic characteristics of obesity.

METHODS

We recruited subjects with body mass index (BMI) over 25 from the weight-loss clinic of a central hospital in Taiwan. Metabolic healthy obesity (MHO) is defined as without having any form of hyperglycemia, hypertension and dyslipidemia, while metabolic abnormal obesity (MAO) is defined as having one or more abnormal metabolic indexes. Serum-based metabolomic profiling using both liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry of 34 MHO and MAO individuals with matching age, sex and BMI was performed. Conditional logistic regression and partial least squares discriminant analysis were applied to identify significant metabolites between the two groups. Pathway enrichment and topology analyses were conducted to evaluate the regulated pathways.

RESULTS

A differential metabolite panel was identified to be significantly differed in MHO and MAO groups, including L-kynurenine, glycerophosphocholine (GPC), glycerol 1-phosphate, glycolic acid, tagatose, methyl palmitate and uric acid. Moreover, several metabolic pathways were relevant in distinguishing MHO from MAO groups, including fatty acid biosynthesis, phenylalanine metabolism, propanoate metabolism, and valine, leucine and isoleucine degradation.

CONCLUSION

Different metabolomic profiles and metabolic pathways are important for distinguishing between MHO and MAO groups. We have identified and discussed the key metabolites and pathways that may prove important in the regulation of metabolic traits among the obese, which could provide useful clues to study the underlying mechanisms of the development of abnormal metabolic phenotypes.

摘要

目的

肥胖人群中异常代谢表型的发展机制尚不清楚。在本研究中,我们旨在筛选健康人和异常肥胖受试者的代谢组,以确定可能调节肥胖不同代谢特征的潜在代谢途径。

方法

我们从台湾一家中心医院的减肥诊所招募了体重指数(BMI)超过25的受试者。代谢健康肥胖(MHO)定义为没有任何形式的高血糖、高血压和血脂异常,而代谢异常肥胖(MAO)定义为有一个或多个异常代谢指标。对34名年龄、性别和BMI匹配的MHO和MAO个体进行了基于血清的代谢组学分析,采用液相色谱-质谱联用和气相色谱-质谱联用技术。应用条件逻辑回归和偏最小二乘判别分析来识别两组之间的显著代谢物。进行通路富集和拓扑分析以评估受调控的通路。

结果

在MHO和MAO组中鉴定出一个差异代谢物面板,包括L-犬尿氨酸、甘油磷酸胆碱(GPC)、磷酸甘油、乙醇酸、塔格糖、棕榈酸甲酯和尿酸。此外,几条代谢途径与区分MHO和MAO组相关,包括脂肪酸生物合成、苯丙氨酸代谢、丙酸代谢以及缬氨酸、亮氨酸和异亮氨酸降解。

结论

不同的代谢组学谱和代谢途径对于区分MHO和MAO组很重要。我们已经鉴定并讨论了可能在肥胖人群代谢特征调节中起重要作用的关键代谢物和途径,这可为研究异常代谢表型发展的潜在机制提供有用线索。

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