NATURAL PRODUCT RESEARCH AND DEVELOPMENT ›› 2018, Vol. 30 ›› Issue (4): 559-567.doi: 10.16333/j.1001-6880.2018.4.005

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Plasma Metabolomics of Angelica Intervene in Blood Stasis Syndrome Rats

YUAN Zi-wen, ZHONG Li-jia, JI Peng, HUA Yong-li, YAO Wan-ling, MA Qi, ZHANG Xiao-song, WEN Yan-qiao, WEI Yan-ming*   

  1. Gansu Agricultural University,Lanzhou 730070,China
  • Online:2018-05-07 Published:2018-05-07

Abstract: The LC-Q/TOF-MS was used to explore the mechanism of angelica intervention in blood stasis syndrome (BSS) rats.The model of acute rats BSS was established by subcutaneous adrenaline combined with ice water bath after rats was treated with angelica decoction (8 g/kg/d) for 7 days.Blood was collected for hemorheology,coagulation factor detection and plasma was analyzed by LC-Q/TOF-MS.The plasma metabolic profiles of normal control (NC),model group (MG) and Dang-gui intervention group (DG) were analyzed by principal component analysis (PCA) and partial least squares (PLS-DA) method.According to the variable importance projection (VIP) and t test,plasma differential metabolites of BSS rats were screened and its metabolic pathway was constructed by MetPA database.The results showed that angelica intervention can significantly decrease the blood viscosity and plasma FIB content of BSS rats (P<0.05) and shorten TT,PT and APTT (P<0.05).Metabolomics analysis showed that the contents of 15 endogenous metabolites in plasma of BSS rats were significantly changed,the contents of phosphatidylcholine,arachidonic acid and sphingomyelin, et al were increased,and the contents of glycerol acid,L-glutamic acid and L-valine, et al decreased.Differential metabolites mainly involve D-glutamine and D-glutamate metabolism,glycerol phospholipid metabolism,sphingolipid metabolism and other pathways,Angelica can reverse the abnormal metabolic content (P<0.05),and then adjust the abnormal amino acids,lipid metabolism to play the role of prevention of blood stasis.

Key words: Angelica sinensis, rat, blood stasis syndrome, plasma, metabolomics

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