| Objective:Based on gas chromatography-mass spectrometry technology(GC-MS),metabonomics analysis was performed on blood samples from patients with liver failure,chronic hepatitis,liver failure before and after artificial liver treatment and healthy controls.This study aims to further analyse the metabolites associated with liver failure at blood metabonomics level,which will provide theoretical basis for real-time monitoring of the conditions of liver failure and assessing the effects of artificial liver treatment.Subjects and Methods:1.Subjects:A total of 123 subjects were enrolled in this study,which included50 patients with liver failure(liver failure group),30 patients with chronic hepatitis B(chronic hepatitis group),11 patients with liver failure treated by artificial liver(plasma exchange and plasma bilirubin adsorption)(artificial liver group),32 healthy volunteers(healthy control group).2.Methods:The clinical data of subjects were recorded,and the blood samples were collected for detection by GC-MS.The RF random forest algorithm was applied to establish the multidimensional scaling map and to obtain the importance of the difference variables among samples,from which the differential metabolites are screened out.Results:1.Based on the detection of blood samples by GC-MS,35 metabolites were finally identified by qualitative and quantitative analysis.2.According to the multidimensional scaling map,significant differences were found in serum metabolites among the liver failure group,chronic hepatitis group and healthy control group,as well as between the artificial liver group before and after artificial liver treatment.3.The differential metabolites were screen out by the importance of the difference variables.Boric acid,2-(methoxyamino-propionic acid),glycine,L-methionine,amino-malonic acid,glycerol monosodium ester,cholesterol were significantly different among the liver failure group,chronic hepatitis group and healthy control group;2-(methoxyamino-propionic acid),lactic acid,L-methionine,amino-malonic acid,cholesterol were significantly different between the artificial liver group before and after treatment.Conclusions:According to this study,many differential metabolites were found among liver failure group,chronic hepatitis group,healthy control group and artificial liver group by blood metabonomics analysis,and the possible metabolic pathways associated with the differences were partly revealed.Blood metabonomics analysis may have great potential for real-time monitoring of the conditions of liver failure and assessing the effects of artificial liver treatment. |