From multi-omics approaches to personalized medicine in myocardial infarction

Area of Science:

• Cardiovascular Research
• Genomics and Bioinformatics
• Molecular Medicine

Background:

• Myocardial infarction (MI) is a leading cause of death, driven by ischemia and hypoxia, with unclear etiological mechanisms.
• Despite extensive research, a complete understanding of MI's molecular basis remains elusive.
• Single-omics approaches have limitations in deciphering complex disease pathways.

Purpose of the Study:

• To review omics studies (genomics, epigenomics, transcriptomics, proteomics, metabolomics) for myocardial infarction.
• To highlight the advantages of multi-omics integrative analysis in understanding MI.
• To compile resources and discuss the role of multi-omics in personalized MI medicine.

Main Methods:

• Comprehensive literature review of omics studies related to myocardial infarction.
• Analysis of multi-omics integration strategies for disease mechanism exploration.
• Compilation of relevant online databases and bioinformatics tools.

Main Results:

• Omics technologies provide novel insights into MI molecular mechanisms and biomarker discovery.
• Multi-omics approaches reveal intricate molecular interaction networks, overcoming single-omics limitations.
• A range of online resources and tools facilitate multi-omics investigations for MI.

Conclusions:

• Multi-omics integration is crucial for a holistic understanding of myocardial infarction.
• These approaches hold significant potential for advancing personalized medicine in MI diagnosis, treatment, and prognosis.
• Further development and application of multi-omics strategies are warranted for cardiovascular disease research.