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采用气相色谱-质谱联用和液相色谱-质谱联用技术,在大鼠蛋白质-能量营养不良模型中进行尿液代谢组学研究。

Urinary metabonomics study in a rat model in response to protein-energy malnutrition by using gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry.

作者信息

Wu Zeming, Li Min, Zhao Chunxia, Zhou Jia, Chang Yuwei, Li Xiang, Gao Peng, Lu Xin, Li Yousheng, Xu Guowang

机构信息

CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R. & A. Centre, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.

出版信息

Mol Biosyst. 2010 Nov;6(11):2157-63. doi: 10.1039/c005291d. Epub 2010 Aug 17.

DOI:10.1039/c005291d
PMID:20717558
Abstract

Systematic studies were performed on the biological perturbations in metabolic phenotype responding to protein-energy malnutrition through global metabolic profiling analysis, in combination with pattern recognition. The malnutrition rat model was established through five weeks of strict diet restriction, and the metabonome data obtained from gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) were integrated to approximate the comprehensive metabolic signature. Principal component analysis and orthogonal projection to latent structure analysis were used for the classification of metabolic phenotypes and discovery of differentiating metabolites. The perturbations in the urine profiles of malnourished rats were marked by higher levels of creatine, threitol, pyroglutamic acid, gluconic acid and kynurenic acid, as well as decreased levels of succinic acid, cis-aconitic acid, citric acid, isocitric acid, threonic acid, trimethylglycine, N-methylnicotinic acid and uric acid. The alterations in these metabolites were associated with perturbations in energy metabolism, carbohydrate, amino acid, and fatty acid metabolism, purine metabolism, cofactor and vitamin metabolism, in response to protein and energy malnutrition. Our findings show the integration of GC-MS and LC-MS techniques for untargeted metabolic profiling analysis was promising for nutriology.

摘要

通过全球代谢谱分析并结合模式识别,对蛋白质-能量营养不良所引起的代谢表型中的生物学扰动进行了系统研究。通过五周严格的饮食限制建立营养不良大鼠模型,并整合从气相色谱-质谱联用仪(GC-MS)和液相色谱-质谱联用仪(LC-MS)获得的代谢组学数据,以近似全面的代谢特征。主成分分析和正交投影到潜在结构分析用于代谢表型的分类和差异代谢物的发现。营养不良大鼠尿液谱中的扰动表现为肌酸、苏糖醇、焦谷氨酸、葡萄糖酸和犬尿酸水平升高,以及琥珀酸、顺乌头酸、柠檬酸、异柠檬酸、苏糖酸、甜菜碱、N-甲基烟酸和尿酸水平降低。这些代谢物的变化与能量代谢、碳水化合物、氨基酸和脂肪酸代谢、嘌呤代谢、辅因子和维生素代谢的扰动有关,以应对蛋白质和能量营养不良。我们的研究结果表明,将GC-MS和LC-MS技术整合用于非靶向代谢谱分析在营养科学方面很有前景。

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