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Dynamic changes of key metabolites during liver fibrosis in rats

World Journal of Gastroenterology 2019年第8期25卷 941-954页

作者： Jiong Yu Jian-Qin He De-Ying Chen Qiao-Ling Pan Jin-Feng Yang Hong-Cui Cao Lan-Juan Li State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases the First Affiliated Hospital College of Medicine Zhejiang University Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases

BACKGROUND Fibrosis is the single most important predictor of significant morbidity and mortality in patients with chronic liver *** non-invasive tests for monitoring fibrosis are lacking,and new biomarkers of liver fibrosis and function are *** To depict the process of liver fibrosis and look for novel biomarkers for diagnosis and monitoring fibrosis *** CCl4 was used to establish the rat liver fibrosis *** fibrosis process was measured by liver chemical tests,liver histopathology,and Masson’s trichrome *** expression levels of two fibrotic markers includingα-smooth muscle actin and transforming growth factorβ1 were assessed using immunohistochemistry and real-time polymerase chain *** changes in metabolic profiles and biomarker concentrations in rat serum during liver fibrosis progression were investigated using ultra-performance liquid chromatography coupled to quadrupole time-of-flight mass *** discriminatory capability of potential biomarkers was evaluated by receiver operating characteristic(ROC)curve *** To investigate the dynamic changes of metabolites during the process of liver fibrosis,sera from control and fibrosis model rats based on pathological results were analyzed at five different time *** investigated the association of liver fibrosis with 21 metabolites including hydroxyethyl glycine,L-threonine,indoleacrylic acid,β-muricholic acid(β-MCA),cervonoyl ethanolamide(CEA),phosphatidylcholines,and *** metabolites,CEA andβ-MCA,differed significantly in the fibrosis model rats compared to controls(P<0.05)and showed prognostic value for *** curve analyses performed to calculate the area under the curve(AUC)revealed that CEA andβ-MCA differed significantly in the fibrosis group compared to controls with AUC values exceeding 0.8,and can clearly differentiate early stage from late stage fibrosis or *** This st

关键词： Ultra-performance liquid chromatography-mass spectrometry Metabonomics Liver fibrosis Biomarker Cervonoyl ethanolamide β-muricholic acid

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