Identification of potential biomarkers for diabetic cardiomyopathy using LC-MS-based metabolomics

被引:1
|
作者
Xiong, Run-Qing [1 ]
Li, Yan-Ping [2 ]
Lin, Lu-Ping [3 ]
Yao, Jeng-Yuan [2 ]
机构
[1] Xiamen Med Coll, Affiliated Hosp 2, Dept Ultrason Imaging, Xiamen, Fujian, Peoples R China
[2] Fujian Prov Univ, Xiamen Med Coll, Key Lab Funct & Clin Translat Med, Fuzhou, Fujian, Peoples R China
[3] Xiamen Med Coll, Affiliated Hosp 2, Dept Endocrinol, Xiamen, Fujian, Peoples R China
关键词
diabetic cardiomyopathy; type 2 diabetes mellitus; metabolomics; biomarkers; liquid chromatography-mass spectrometry; plasma metabolite profiling; FATTY-ACID OXIDATION; MECHANISMS; 11-KETOETIOCHOLANOLONE; DISEASE; MARKER;
D O I
10.1530/EC-23-0384
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Diabetic cardiomyopathy (DCM) is a serious complication of type 2 diabetes mellitus (T2DM) that contributes to cardiovascular morbidity and mortality. However, the metabolic alterations and specific biomarkers associated with DCM in T2DM remain unclear. In this study, we conducted a comprehensive metabolomic analysis using liquid chromatography-mass spectrometry (LC-MS) to investigate the plasma metabolite profiles of T2DM patients with and without DCM. We identified significant differences in metabolite levels between the groups, highlighting the dysregulation of various metabolic pathways, including starch and sucrose metabolism, steroid hormone biosynthesis, tryptophan metabolism, purine metabolism, and pyrimidine metabolism. Although several metabolites showed altered abundance in DCM, they also shared characteristics of DCM and T2DM rather than specific to DCM. Additionally, through biomarker analyses, we identified potential biomarkers for DCM, such as cytidine triphosphate, 11-ketoetiocholanolone, saccharopine, nervonic acid, and erucic acid. These biomarkers demonstrated distinct patterns and associations with metabolic pathways related to DCM. Our findings provide insights into the metabolic changes associated with DCM in T2DM patients and highlight potential biomarkers for further validation and clinical application. Further research is needed to elucidate the underlying mechanisms and validate the diagnostic and prognostic value of these biomarkers in larger cohorts.
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页数:9
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