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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.
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 groups (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 However, these metabolic deviations came 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 / 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.