Urine metabonomic study for blood-replenishing mechanism of Angelica sinensis in a blood-deficient mouse model

作     者：WANG Tao SUN Hong-Guo HUA Yong-Li LI Peng-Ling WEI Yan-Ming 

作者机构：Institute of Traditional Chinese Veterinary Medicine College of Veterinary Medicine Gansu Agricultural University 

出 版 物：《Chinese Journal of Natural Medicines》 (中国天然药物（英文版）)

年 卷 期：2016年第14卷第3期

页      面：210-219页

核心收录：

学科分类：0710[理学-生物学] 1007[医学-药学(可授医学、理学学位)] 090502[农学-动物营养与饲料科学] 1005[医学-中医学] 081702[工学-化学工艺] 1002[医学-临床医学] 08[工学] 0817[工学-化学工程与技术] 0905[农学-畜牧学] 09[农学] 0703[理学-化学] 

基　　金：financially supported by the Natural Science Foundation of China(No.31272600) 

主　　题：代谢组学 补充机制 小鼠模型 尿液 当归 气相色谱-质谱法 生物标志物 血液 

摘      要：This study aimed at determining the effects of Angelica sinensis(AS) on urinary metabolites in blood deficiency mice and exploring its replenishing blood mechanism. Gas chromatography–mass spectrometry(GC-MS) was applied to detect metabolites in the urine samples in different collection periods. Principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) were used to investigate the differences in metabolic profiles among control group(CG), blood deficiency model group(MG), AS groups, and Colla Corii Asini group(CCAG). The potential biomarkers were identified based on the variable importance in the projection(VIP), T-test, and National Institute of Standards and Technology(NIST) and mass spectra library. The metabolites were analyzed using metabolomics pathway analysis(Met PA) to build the metabolic pathways. Our results indicated that, on the seventh day, the levels of glucose, lactic acid, pyruvic acid, alanine, acetoacetic acid, and citric acid changed significantly in blood deficiency mice. However, these metabolic deviations came to closer to normal levels after AS intervention. The reversing blood-deficiency mechanism of AS might involve regulating synthesis and degradation of ketone bodies, Pyruvate metabolism, TCA cycle, and Glycolysis / Gluconeogenesis. In conclusion, metabonomics is a robust and promising means for the identification of biomarkers and elucidation of the mechanisms of a disease, thereby highlighting its importance in drug discovery.