Analysis of changes in serum metabolites of uremia patients based on ultra-high performance liquid chromatography-mass spectrometry
10.3760/cma.j.cn441217-20220208-00137
- VernacularTitle:基于超高效液相色谱-质谱联用技术分析尿毒症患者血清代谢物变化
- Author:
Tao HE
1
;
Ting KANG
;
Liling ZHANG
;
Santao OU
Author Information
1. 西南医科大学附属医院肾病内科 四川省肾脏疾病临床医学研究中心，泸州 646000
- Keywords:
Chromatography, high pressure liquid;
Mass spectrometry;
Uremia;
Metabolomics;
Signaling pathways
- From:
Chinese Journal of Nephrology
2022;38(11):953-960
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the changes in serum metabolites of patients with uremia using ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS), and provide a theoretical basis for the prevention and treatment of uremia.Methods:Uremia patients from the Department of Nephrology, the Affiliated Hospital of Southwest Medical University, and the volunteers from the Health Examination Center were enrolled in this study. According to the inclusion and exclusion criteria, 20 uremia patients (experimental group) and 20 volunteers (control group) were screened out. UHPLC-MS was used to detect the metabolites in the serum of subjects from the two groups, and difference analysis was made to screen the different metabolites, followed by correlation analysis and pathway enrichment study.Results:A total of 412 metabolites were identified by UHPLC-MS. Principal components analysis (PCA) proved that these metabolites could distinguish the control group and the experimental group well. The criteria [variable importance for the projection (VIP)>1, fold changes (FC)>1.25 or FC<0.8 and P value<0.05] was set to screen those significantly different metabolites. Finally, 28 significantly different metabolites were screened out, of which 18 metabolites increased significantly, the other 10 different metabolites decreased significantly. Correlation analysis results proved a certain correlation among 28 different metabolites and the experimental group and control group samples, and between the 28 differential metabolites themselves. Enrichment analysis found that 28 different metabolites might enrich the catecholamine biosynthetic pathway, and pathway analysis suggested that 28 different metabolites might affect glutamate, aspartame acid and glutamate metabolic pathways. Conclusion:Based on metabonomic analysis, some metabolites in the serum of patients with uremia have changed, which can affect some metabolic pathways, thus affecting the pathophysiological process of patients with uremia.
