Pseudo-Targeted Bile Acid Metabonomics Study of Adrenaline Blood Stasis Syndrome Rat Model

MA Weihao; HU Guang; MIAO Lan; REN Changying; SUN Mingqian; LIN Li

Abstract：Objective Using the pseudo-targeted metabonomics by liquid chromatography-mass spectrometry(LC-MS)technology,the study focused on investigating the bile acid metabolism in the serum and liver of rats with an adrenaline-induced blood stasis syndrome model.Methods The rat model of chronic blood stasis was established by subcutaneous injection of small doses of adrenaline.The validity of the model was verified by evaluating the state of rats,hemorheology,and blood routine.The pseudo-targeted metabonomics was applied to detect bile acid metabolites in serum and liver of rat,and differential metabolites were screened through data analysis.Results Compared with the normal group,the weight of rats in the blood stasis syndrome model group decreased significantly(P<0.01),and whole blood viscosity increased significantly at different shear rates(P<0.01).Indicators related to lipid metabolism,energy metabolism,liver function,and platelets all showed significant abnormalities(P<0.05),indicating the successful modeling of chronic blood stasis in rats induced by adrenaline.Through metabonomics research,13 differential bile acids including tauro-muricholic acid,glycodeoxycholic acid,glycochenodeoxycholic acid and 7-ketolithocholic acid were screened in serum,and 10 differential bile acids including glycodeoxycholic acid,α-muricholic acid,and taurohyocholic acid were screened in liver.Among them,glycodeoxycholic acid was identified as a common differential metabolite,showing significant changes in both serum and liver(P<0.05).Conclusion Utilizing pseudo-targeted metabolomics technology,this study further elucidated the differential bile acid components and metabolic characteristics in the serum and liver of rats with adrenaline-induced blood stasis syndrome,providing new insights for the research on the pathogenesis of blood stasis syndrome.Targeted metabonomics have high sensitivity and specificity and have important applications in the study of biomarkers and disease mechanisms.