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首页> 外文期刊>Molecular BioSystems >Urinary metabonomics study in a rat model in response to protein-energy malnutrition by using gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry
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Urinary metabonomics study in a rat model in response to protein-energy malnutrition by using gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry

机译:气相色谱-质谱和液相色谱-质谱法研究大鼠尿液代谢组学对蛋白质能量营养不良的反应

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摘要

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.
机译:通过整体代谢谱分析与模式识别相结合,对响应蛋白质能量营养不良的代谢表型的生物扰动进行了系统研究。通过严格限制饮食五周建立营养不良的大鼠模型,并将通过气相色谱-质谱(GC-MS)和液相色谱-质谱(LC-MS)获得的代谢组学数据进行整合,以近似综合代谢特征。主成分分析和潜在结构的正交投影用于代谢表型的分类和区分代谢物的发现。营养不良大鼠尿液的摄动表现为较高水平的肌酸,苏糖醇,焦谷氨酸,葡萄糖酸和犬尿酸,以及琥珀酸,顺式乌头酸,柠檬酸,异柠檬酸,苏糖酸水平降低,三甲基甘氨酸,N-甲基烟酸和尿酸。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,这是对蛋白质和能量营养不良的反应。我们的研究结果表明,将GC-MS和LC-MS技术集成用于非目标代谢谱分析对于营养学而言是很有前途的。

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  • 来源
    《Molecular BioSystems 》 |2010年第11期| p.2157-2163| 共7页
  • 作者单位

    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;

    rnDepartment of Surgery of Jinling Hospital, School of Medicine,Nanjing University, Nanjing 210002, China;

    rnCAS 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;

    rnCAS 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;

    rnCAS 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;

    rnCAS 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;

    rnCAS 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;

    rnCAS 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;

    rnDepartment of Surgery of Jinling Hospital, School of Medicine,Nanjing University, Nanjing 210002, China;

    rnCAS 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;

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