Metabolomics Of Acute Abdominal Infection Based On Liquid Chromatography-mass Spectrometry

Objective:Liquid chromatogram-mass spectrometry(LC-MS)was used to detect the serum and urine of patients with acute abdominal infection and healthy patients,to find the metabolic products between patients with acute abdominal infection and healthy patients,and then to find the biomarkers related to acute abdominal infection.Method:1.Experimental grouping: According to the presence or absence of abdominal infection,the patients were divided into the abdominal infection group(disease group)and the healthy group(health group).2.Sample treatment: The samples were thawed at room temperature,centrifuged at high speed(14000rpm,5min),and the supernatant was taken for monitoring and analysis by HPLC/MS.3.Chromatographic analysis: The samples were detected by liquid chromatographymass spectrometer,and the serum and urine metabolism profiles and relevant data of the experimental group and the control group were obtained for data processing.4.Data processing: The original data were further extracted by MarkerView software for principal component analysis,MetaboAnalyst software for T-test,partial least square discriminant analysis,and BRB-Array software for support vector machine discriminant analysis.The data were brought into HMDB and the different metabolite obtained by statistical analysis was found.After that,the data were imported into MetaboAnalyst website for cluster analysis,and statistical methods such as SPSS 23 software to draw ROC curve were used to analyze the experimental data obtained,so as to find the difference in the metabolic map between the patients in the disease group and the healthy group,and to find the possible differential metabolites.Result:1.in the study of blood samples,through the principal component analysis,t test and partial least squares discriminant analysis and support vector machine(SVM)discriminant analysis methods have differences in metabolic product selection,will be screened structure identification of metabolites in the HMDB database,positive and negative ions under the mode of a total of 16 different metabolites in the find.Finally,ROC curve was drawn to identify 9 important differential metabolites.2.in the study of a urine sample,through the principal component analysis,t test and partial least squares discriminant analysis and support vector machine(SVM)discriminant analysis methods have differences in metabolic product selection,will be screened structure identification of metabolites in the HMDB database,positive and negative ions mode to find total 11 kinds of different metabolites.Finally,ROC curve was drawn to identify two important differential metabolites.3.Metabolomics showed that the maximum area under the curve of 1-differential metabolite was 0.96,while the area under the curve of PCT was 0.89,and the area under the curve of LysoPC(0:0/18:2(9Z,12Z))was the largest.Conclution:1.Sixteen different metabolites were found in the blood metabolic map analysis.After ROC curve analysis,nine important different metabolites were selected according to the area under the curve.2.Eleven different metabolites were found in the analysis of urine metabolic atlas.After ROC curve analysis,two important different metabolites were selected according to the area under the curve.3.Metabolomics determined that the maximum area under the 1-differential metabolite curve was 0.96 for both blood samples and 0.89 for PCT,with LysoPC(0:0/18:2(9Z,12Z))having the maximum area under the 1-differential curve.