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Identification of potential biomarkers for diabetic cardiomyopathy using LC-MS-based metabolomics.
Xiong, Run-Qing; Li, Yan-Ping; Lin, Lu-Ping; Yao, Jeng-Yuan.
Affiliation
  • Xiong RQ; Department of Ultrasonic Imaging, Xiamen Medical College Affiliated Second Hospital, Fujian, China.
  • Li YP; Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Fujian, China.
  • Lin LP; Department of Endocrinology, Xiamen Medical College Affiliated Second Hospital, Fujian, China.
  • Yao JY; Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Fujian, China.
Endocr Connect ; 13(3)2024 Mar 01.
Article in En | MEDLINE | ID: mdl-38180052
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Endocr Connect Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Endocr Connect Year: 2024 Document type: Article Affiliation country: China Country of publication: Reino Unido