MIRKB: a myocardial infarction risk knowledge base

Chaoying Zhan1, Manhong Shi1,2, Rongrong Wu1

  • 1Centre for Systems Biology, Soochow University, Suzhou 215006, China.

Insights

Myocardial infarction (MI) is a leading cause of death. The Myocardial Infarction Risk Knowledge Base (MIRKB) compiles MI risk factors and models to aid research and prevention efforts.

Area of Science:

  • Cardiovascular Disease Research
  • Biomedical Informatics

Background:

  • Myocardial infarction (MI) is a major global health concern with complex, incompletely understood causes.
  • Identifying individuals at high risk for MI is crucial for effective prevention strategies.

Purpose of the Study:

  • To introduce the Myocardial Infarction Risk Knowledge Base (MIRKB), a comprehensive resource for MI risk factors and models.
  • To facilitate systems biology-level understanding of MI etiology and progression.

Main Methods:

  • Data was collected from 4366 PubMed articles published before July 5, 2019.
  • The MIRKB database contains 8436 entries, including single factors, combined factors, and risk models.
  • Factors are categorized into molecular, imaging, physiological, clinical, environmental, lifestyle, and psychosocial types.

Main Results:

  • The MIRKB includes 7902 entries for 1847 single factors, 195 entries for 157 combined factors, and 339 entries for 174 risk models.
  • Detailed breakdown of single factors across categories: molecular (649), imaging (252), physiological (219), clinical (561), environmental (26), lifestyle (65), and psychosocial (75).

Conclusions:

  • The MIRKB serves as a valuable resource for researchers investigating the complex mechanisms of MI.
  • This knowledge base will support future systems-level analysis of MI development and progression.

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