MIKB: A manually curated and comprehensive knowledge base for myocardial infarction

Area of Science:

• Cardiovascular Research
• Bioinformatics
• Genomics

Background:

• Myocardial infarction (MI) research requires integrated knowledge of risk factors, genetic variants, and molecular pathways.
• Existing resources often lack comprehensive multi-omics data and translational research support.
• The Myocardial Infarction Knowledge Base (MIKB) was developed to address these limitations.

Purpose of the Study:

• To create an updated and expanded open-access database for integrating diverse MI-related knowledge.
• To facilitate translational research by providing a comprehensive resource for MI risk assessment, diagnosis, and personalized medicine.
• To offer a multi-omics perspective on the molecular pathogenesis of MI through the MIGD module.

Main Methods:

• Manual curation of research articles to extract MI-related data.
• Integration of risk factors, risk models, MI subtypes, and their interactions.
• Development of the Multi-omics Information of Genetic basis of Disease (MIGD) module for genetic variants and multi-omics factors.
• Analysis of MI-associated genes, their functions, and drug interactions.

Main Results:

• The updated MI Risk Knowledge Base (MIRKB) contains 9701 records, including 2054 single factors, 209 combined factors, 243 risk models, 37 MI subtypes, and 3406 interactions.
• The MIGD module includes 1782 omics factors, 28 MI subtypes, 2347 omics factor-MI interactions, 1253 genes, and 6 chromosomal alterations.
• Data was collected from a substantial number of research articles (4817 for MIRKB, 2647 for MIGD).

Conclusions:

• MIKB provides a continuously updated and optimized resource for comprehensive MI knowledge.
• The database supports precision medicine by enabling the study of heterogeneous and personalized MI.
• MIKB enhances the efficiency of translational MI research through integrated data and multi-omics insights.