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Published on: July 3, 2018
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.
Abstract:
Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide. The etiology of MI is complicated and not completely understood. Many risk factors are reported important for the development of MI, including lifestyle factors, environmental factors, psychosocial factors, genetic factors, etc. Identifying individuals with an increased risk of MI is urgent and a major challenge for improving prevention. The MI risk knowledge base (MIRKB) is developed for facilitating MI research and prevention. The goal of MIRKB is to collect risk factors and models related to MI to increase the efficiency of systems biological level understanding of the disease. MIRKB contains 8436 entries collected from 4366 articles in PubMed before 5 July 2019 with 7902 entries for 1847 single factors, 195 entries for 157 combined factors and 339 entries for 174 risk models. The single factors are classified into the following five categories based on their characteristics: molecular factor (2356 entries, 649 factors), imaging (821 entries, 252 factors), physiological factor (1566 entries, 219 factors), clinical factor (2523 entries, 561 factors), environmental factor (46 entries, 26 factors), lifestyle factor (306 entries, 65 factors) and psychosocial factor (284 entries, 75 factors). MIRKB will be helpful to the future systems level unraveling of the complex mechanism of MI genesis and progression.
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