Screening of differential metabolites in urine of adult patients with Kashin-Beck disease by non-targeted metabonomics
10.3760/cma.j.cn231583-20210301-00057
- VernacularTitle:非靶向代谢组学技术筛选成人大骨节病尿液差异代谢物
- Author:
Cheng LI
1
;
Rong ZHOU
;
Xi WANG
;
Yujie NING
;
Pan ZHANG
;
Peiru DU
;
Haiyan WEI
;
Gangyao XU
;
Yi GONG
;
Ruitian HUANG
;
Minhan HU
;
Xiong GUO
Author Information
1. 西安交通大学医学部公共卫生学院 国家卫健委微量元素与地方病重点实验室 陕西省地方病与健康促进协同创新中心 710061
- Keywords:
Kashin-Beck disease;
Urine;
Metabonomics;
Biomarkers
- From:
Chinese Journal of Endemiology
2021;40(11):871-876
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To screen differential metabolites and metabolic pathways in urine of adult patients with Kashin-Beck disease (KBD), so as to provide scientific basis for finding specific biomarkers and pathogenesis of KBD.Methods:In Yongshou County, the KBD area in Shaanxi Province, adult KBD patients were selected as the case group, and healthy people without clinical symptoms of KBD were selected as the control group in the same disease area. The subjects' fasting mid-morning urine was collected, and liquid chromatography-mass spectrometry (LC-MS) technology was used to detect small-molecule metabolites in the urine. Multivariate statistical analysis [partial least square discriminant analysis (PLS-DA)] and comparison with KEGG and human metabonomics database (HMDB) were used to identify and screen differential metabolites and metabolic pathways in KBD patients.Results:A total of 58 subjects were included, 39 cases in the case group, including 23 males and 16 females; the age was (61.2 ± 7.8) years old; the body mass index was (22.7 ± 6.5) kg/m 2. There were 19 cases in the control group, including 10 males and 9 females; the age was (50.0 ± 9.0) years old; the body mass index was (24.3 ± 5.5) kg/m 2. Three first-order differential metabolites (HT-2 toxin, T-2 tetraol and seleno-adenosine selenomethionine) were identified and screened, which were highly related to the pathogenesis of KBD, and all were down-regulated. There were 38 second-order differential metabolites, among them, 10 were up-regulated and 28 were down-regulated. Nine differential metabolic pathways were screened, mainly involving amino acid metabolism, lipid metabolism and energy metabolism. Conclusions:The urine metabolism profiles of adult KBD patients and healthy people are significantly different, mainly involving amino acid metabolism, lipid metabolism and energy metabolism. The first-order differential metabolites HT-2 toxin, T-2 tetraol and seleno-adenosine selenomethionine are highly correlated with the pathogenesis of KBD.
