Zhan Chaoying, Tang Tong, Wu Erman, Zhang Yuxin, He Mengqiao, Wu Rongrong, Bi Cheng, Wang Jiao, Zhang Yingbo, Shen Bairong
Department of Cardiology and Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China.
Front Cardiovasc Med. 2023 Oct 30;10:1250340. doi: 10.3389/fcvm.2023.1250340. eCollection 2023.
Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe complications such as arrhythmia, cardiac rupture, heart failure, and sudden death. Despite being a research hotspot, the etiological mechanism of MI remains unclear. The emergence and widespread use of omics technologies, including genomics, transcriptomics, proteomics, metabolomics, and other omics, have provided new opportunities for exploring the molecular mechanism of MI and identifying a large number of disease biomarkers. However, a single-omics approach has limitations in understanding the complex biological pathways of diseases. The multi-omics approach can reveal the interaction network among molecules at various levels and overcome the limitations of the single-omics approaches. This review focuses on the omics studies of MI, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and other omics. The exploration extended into the domain of multi-omics integrative analysis, accompanied by a compilation of diverse online resources, databases, and tools conducive to these investigations. Additionally, we discussed the role and prospects of multi-omics approaches in personalized medicine, highlighting the potential for improving diagnosis, treatment, and prognosis of MI.
心肌梗死(MI)是一种常见的心血管疾病,其特征是冠状动脉缺血缺氧导致心肌坏死,可引发严重并发症,如心律失常、心脏破裂、心力衰竭和猝死。尽管MI是一个研究热点,但其病因机制仍不清楚。组学技术的出现和广泛应用,包括基因组学、转录组学、蛋白质组学、代谢组学和其他组学,为探索MI的分子机制和识别大量疾病生物标志物提供了新机会。然而,单一组学方法在理解疾病复杂生物学途径方面存在局限性。多组学方法可以揭示分子在各个层面的相互作用网络,克服单一组学方法的局限性。本综述重点关注MI的组学研究,包括基因组学、表观基因组学、转录组学、蛋白质组学、代谢组学和其他组学。探索延伸到多组学综合分析领域,同时汇编了有利于这些研究的各种在线资源、数据库和工具。此外,我们讨论了多组学方法在个性化医疗中的作用和前景,强调了改善MI诊断、治疗和预后的潜力。