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采用 GC/MS 结合多元统计分析对儿童肥胖的血浆代谢指纹图谱进行研究。

Plasma metabolic fingerprinting of childhood obesity by GC/MS in conjunction with multivariate statistical analysis.

机构信息

Research Center of Modernization of Chinese Herbal Medicine, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.

出版信息

J Pharm Biomed Anal. 2010 Jun 5;52(2):265-72. doi: 10.1016/j.jpba.2010.01.002. Epub 2010 Jan 11.

DOI:10.1016/j.jpba.2010.01.002
PMID:20092977
Abstract

Metabolic fingerprinting is a powerful tool for exploring systemic metabolic perturbations and potential biomarkers, thus may shed light on the pathophysiological mechanism of diseases. In this work, a new strategy of metabolic fingerprinting was proposed to exploit the disturbances of metabolic patterns and biomarker candidates of childhood obesity. Plasma samples from children with normal weight, overweight and obesity were first profiled by GC/MS. ULDA (uncorrelated linear discriminant analysis) then revealed that the metabolic patterns of the three groups were different. Furthermore, several metabolites, say isoleucine, glyceric acid, serine, 2,3,4-trihydroxybutyric acid and phenylalanine were screened as potential biomarkers of childhood obesity by both ULDA and CCA (canonical correlation analysis). CCA also shows satisfactory correlation between the metabolic patterns and clinical parameters, and the results further suggest that WHR (waist-hip ratio) together with TG (total triglycerides), TC (total cholesterol), HDL (high density lipoprotein) and LDL (low density lipoprotein) were the most important parameters which are associated closely with the metabolic perturbations of childhood obesity, so as to be paid more attention for dealing with metabolic disturbances of childhood obesity in clinical practice rather than regularly monitored BMI (body-mass index). The results have demonstrated that the proposed metabolic fingerprinting approach may be a useful tool for discovering metabolic abnormalities and possible biomarkers for childhood obesity.

摘要

代谢指纹图谱是一种探索系统性代谢紊乱和潜在生物标志物的强大工具,因此可能有助于揭示疾病的病理生理机制。在这项工作中,提出了一种新的代谢指纹图谱策略,以探索儿童肥胖的代谢模式紊乱和生物标志物候选物。首先通过 GC/MS 对体重正常、超重和肥胖儿童的血浆样本进行分析。然后 ULDA(不相关线性判别分析)揭示了这三组的代谢模式不同。此外,通过 ULDA 和 CCA(典型相关分析)筛选出几种潜在的儿童肥胖生物标志物,如异亮氨酸、甘油酸、丝氨酸、2,3,4-三羟基丁酸和苯丙氨酸。CCA 还显示出代谢模式与临床参数之间的良好相关性,结果进一步表明,WHR(腰臀比)与 TG(总甘油三酯)、TC(总胆固醇)、HDL(高密度脂蛋白)和 LDL(低密度脂蛋白)一起是与儿童肥胖代谢紊乱密切相关的最重要参数,因此在临床实践中应更加关注处理儿童肥胖的代谢紊乱,而不是定期监测 BMI(体重指数)。研究结果表明,所提出的代谢指纹图谱方法可能是发现儿童肥胖代谢异常和潜在生物标志物的有用工具。

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