文献类型： 外文期刊
作者： Zhan, Chaoying 1 ; Tang, Tong 1 ; Wu, Erman 1 ; Zhang, Yuxin 1 ; He, Mengqiao 1 ; Wu, Rongrong 1 ; Bi, Cheng 1 ; Wang, Jiao 1 ; Zhang, Yingbo 1 ; Shen, Bairong 1 ;
作者机构： 1.Sichuan Univ, West China Hosp, Frontiers Sci Ctr Dis, Chengdu, Peoples R China
2.Sichuan Univ, West China Hosp, Inst Syst Genet, Frontiers Sci Ctr Dis, Chengdu, Peoples R China
3.Sichuan Univ, Coll Life Sci, Key Lab Bioresource & Ecoenvironm, Minist Educ, Chengdu, Peoples R China
4.Chinese Acad Trop Agr Sci, Trop Crops Genet Resources Inst, Haikou, Peoples R China
关键词： myocardial infarction; multi-omics; personalized medicine; single-omics; integrative analysis
期刊名称：FRONTIERS IN CARDIOVASCULAR MEDICINE （ 影响因子：3.6； 五年影响因子：4.1 ）
ISSN： 2297-055X
年卷期： 2023 年 10 卷
页码：
收录情况： SCI
摘要： 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.
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