Khan Ikram, Panaiotov Stefan, Attia Kotb A, Mohammed Arif Ahmed, Uzair Muhammad, Khan Imran, Li Zhiqiang, Xie Xiaodong
Department of Genetics, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu, 730000, China.
Microbiology Department, National Center of Infectious and Parasitic Diseases, Yanko Sakazov 26 Blvd., Sofia, 1504, Bulgaria.
J Transl Med. 2025 Jul 16;23(1):797. doi: 10.1186/s12967-025-06165-3.
Myocardial infarction (MI) has been linked to changes in the blood microbiome, yet the interplay between microbiome and metabolome remains poorly understood. This study integrates blood microbiome profiling and metabolomic analysis to uncover biomarkers and pathways associated with MI.
Using 16 S rRNA sequencing and LC-MS metabolomics, blood samples from 24 MI patients and 24 healthy controls were analyzed. Microbial diversity, key taxa, metabolites, and their functional implications were evaluated.
While alpha and beta diversity of the microbiome showed no significant differences, three bacterial taxa (Proteobacteria, Gammaproteobacteria, and Bacilli) and twenty metabolites (e.g., UPD-L-Ara4O, Urotensin-related peptide, and 9-hydroxy octadecanoic acid) were identified as potential biomarkers, achieving an AUC of 0.99-1. Functional pathway analysis revealed upregulation in glycerolipid metabolism and mTOR signaling pathways, which were significantly correlated with clinical markers of MI.
This integrative approach highlights the diagnostic potential of blood microbiome-metabolome dynamics in MI and suggests mechanistic pathways that could guide future interventions.
心肌梗死（MI）与血液微生物组的变化有关，但微生物组与代谢组之间的相互作用仍知之甚少。本研究整合血液微生物组分析和代谢组学分析，以揭示与心肌梗死相关的生物标志物和通路。
使用16S rRNA测序和液相色谱-质谱联用代谢组学技术，对24例心肌梗死患者和24例健康对照者的血液样本进行分析。评估微生物多样性、关键分类群、代谢物及其功能意义。
虽然微生物组的α和β多样性没有显著差异，但三种细菌分类群（变形菌门、γ-变形菌纲和芽孢杆菌纲）和二十种代谢物（如UDP-L-阿拉伯糖4-O、尿紧张素相关肽和9-羟基十八烷酸）被确定为潜在生物标志物，曲线下面积达到0.99-1。功能通路分析显示甘油olipid代谢和mTOR信号通路上调，这与心肌梗死的临床标志物显著相关。
这种综合方法突出了血液微生物组-代谢组动态变化在心肌梗死中的诊断潜力，并提出了可指导未来干预的机制性通路。
