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

被引:25
|
作者
Wu, Zeming [2 ]
Li, Min [1 ]
Zhao, Chunxia [2 ]
Zhou, Jia [2 ]
Chang, Yuwei [2 ]
Li, Xiang [2 ]
Gao, Peng [2 ]
Lu, Xin [2 ]
Li, Yousheng [1 ]
Xu, Guowang [2 ]
机构
[1] Nanjing Univ, Sch Med, Jinling Hosp, Dept Surg, Nanjing 210002, Peoples R China
[2] Chinese Acad Sci, Dalian Inst Chem Phys, CAS Key Lab Separat Sci Analyt Chem, Natl Chromatog R&A Ctr, Dalian 116023, Peoples R China
基金
中国国家自然科学基金;
关键词
CALORIC RESTRICTION; GC-MS; HPLC-MS; LC-MS; DIET; METABOLOMICS; DISCOVERY; STRATEGY; DOG;
D O I
10.1039/c005291d
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
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.
引用
收藏
页码:2157 / 2163
页数:7
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