The Study Of Bile Metabolism For Hepatic Alveolar Echinococcosis

Objective:To get the bile metabolic spectrum of patients who had hepatic alveolar echinococcosis(HAE),we detectived the patients’bile by ~1H nuclear magnetic resonance(~1H NMR).The specific metabolites of HAE were found that will provide a reference for the clinical diagnosis and further study of HAE.Methods:1.Random collection of patients from November 2016 to October 20017 at the Hepatobiliary and Pancreas Surgery Hospital Affiliated to Qinghai University,the experimental group is who were diagnosed as HAE complicated with asymptomatic gallstones,10 cases.And physical examination found gallbladder stones patients was the control group,10 cases.Two groups of bile obtained by surgery.2.We used of ~1H NMR to detectie bile composition of both groups.Obtain the NMR spectrum of the sample after proofreading.3.Through the principal component analysis(PCA),partial least squares discriminant analysis(PLS-DA),orthogonal partial least squares-discriminant analysis(OPLS-DA)to statistics the map,we concluded that the different metabolites between the two groups.Results:1.After PCA analysis,it was found that the explanatory rate of difference between groups was greater than 85%,the explanatory rate of no difference in the test group was greater than 88.4%and the explanatory rate of no difference in the control group was greater than 93.7%.2.Effective models were obtained by PLS-DA.3.The correlation coefficient was calculated using OPLS-DA.The experimental group compare with the control group,in bile of experimental group,the lipid content increased(Ra=0.74),the content of phosphatidylcholine glycine increased(Ra=0.73)and the content of phosphatidylcholine decreased(Ra=-0.73).Conclusion:Using metabonomics technology compare bile of HAE combined with asymptomatic cholecystolithiasis patients and asymptomatic gallstones patients bile,the contents of lipids、PC-G and PC were found to be different in the two groups.Analysis of different components of bile by metabonomics is expected to become a new direction for the diagnosis of HAE.