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代谢谱分析揭示了区分心肌炎和急性心肌梗死的诊断生物标志物。

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

作者信息

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

机构信息

Department of Critical Medicine, Shenzhen People's Hospital, First Affiliated Hospital of Southern University of Science and Technology, Second Clinical Medicine College of Jinan University, Shenzhen, China.

Department of Cardiology, Shenzhen People's Hospital, First Affiliated Hospital of Southern University of Science and Technology, Second Clinical Medicine College of Jinan University, Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen Key Medical Discipline (SZXK003), Shenzhen, China.

出版信息

Cardiovasc Ther. 2025 Apr 16;2025:6292099. doi: 10.1155/cdr/6292099. eCollection 2025.

Abstract

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 AMI. 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 differences. 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--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--retinol as the predominant biomarker, with an AUC value of 0.917. 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--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.

摘要

在早期阶段区分心肌炎(MC)和急性心肌梗死(AMI)至关重要,因为它们症状相似,但治疗方案却大不相同。本研究旨在利用代谢组学技术区分MC和AMI。收集了15例MC患者和12例AMI患者的血浆样本。使用超高效液相色谱 - 质谱联用仪(UHPLC-MS)获得两组患者血浆的代谢谱,识别出有显著差异的代谢物。我们在两种疾病中均鉴定出30种显著不同的代谢物。在MC患者中,17种代谢物上调,包括5-羟基-L-色氨酸和溶血磷脂酰胆碱(18:2(9Z,12Z)),而13种代谢物下调,如11-顺视黄醇、L-谷氨酸和羟基烟酸。KEGG富集分析表明,改变的代谢物在色氨酸代谢、亚油酸代谢、初级胆汁酸生物合成、氮代谢和视黄醇代谢中富集。通过受试者工作特征曲线进行的生物标志物分析突出显示11-顺视黄醇是主要生物标志物,AUC值为0.917。总之,AMI和MC患者经历了显著的代谢重编程。外周血中表现出异常表达的代谢物在临床环境中对区分AMI和MC具有诊断价值。11-顺视黄醇被证明是AMI的关键生物标志物,可能有助于开发一种强大的预测模型,用于在临床环境中区分MC和AMI。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74c7/12017942/4fe76bdacf07/CDTP2025-6292099.001.jpg

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