Metabolic Profiling Reveals Diagnostic Biomarkers for Distinguishing Myocarditis From Acute Myocardial Infarction

作     者：Chen, Yuting Liu, Xiu Hong, Chengying Xu, Shunyao He, Linling Liu, Zhenmi Chen, Huaisheng Lin, Yaowang 

作者机构：Southern Univ Sci & Technol Jinan Univ Shenzhen Peoples Hosp Dept Crit MedClin Med Coll 2Affiliated Hosp 1 Shenzhen Peoples R China Southern Univ Sci & Technol Jinan Univ Shenzhen Peoples Hosp Cardiovasc Minimally Invas Med Engn Technol Res & Shenzhen Peoples R China 

出 版 物：《CARDIOVASCULAR THERAPEUTICS》 (Cardiovasc. Ther.)

年 卷 期：2025年第2025卷第1期

核心收录：

学科分类：1007[医学-药学(可授医学、理学学位)] 1002[医学-临床医学] 10[医学] 

基　　金：Shenzhen Science and Technology Program 

主　　题：11-cis-retinol acute myocardial infarction metabolic reprogramming myocarditis retinol metabolism 

摘      要：Background: Distinguishing between myocarditis (MC) and acute myocardial infarction (AMI) in the early stages is crucial due to their similar symptoms yet vastly different treatment protocols. This study seeks to utilize metabolomics techniques to differentiate between MC and ***: Plasma samples from 15 patients with MC and 12 patients with AMI were collected. Metabolic profiles of plasma from the two groups of patients were obtained using ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS), identifying metabolites with significant ***: We identified 30 significantly different metabolites in both diseases. In patients with MC, 17 metabolites were upregulated, including 5-hydroxy-L-tryptophan and LysoPC (18:2(9Z,12Z)), while 13 metabolites were downregulated, such as 11-cis-retinol, L-glutamate, and hydroxynicotinic acid. KEGG enrichment analysis revealed that the altered metabolites were enriched in tryptophan metabolism, linoleic acid metabolism, primary bile acid biosynthesis, nitrogen metabolism, and retinol metabolism. Biomarker analysis via receiver-operating characteristic curves highlighted 11-cis-retinol as the predominant biomarker, with an AUC value of ***: In conclusion, patients experiencing AMI and MC undergo significant metabolic reprogramming. Metabolites exhibiting abnormal expression in peripheral blood hold diagnostic value for distinguishing between AMI and MC in clinical settings. 11-cis-retinol proved to be the pivotal biomarker for AMI, potentially aiding in the development of a robust predictive model for distinguishing between MC and AMI in clinical settings.