MIRKB: a myocardial infarction risk knowledge base

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.

The molecular mechanisms underlying anti‐inflammatory effects of galangin in different diseases

“…Myocardial fibrosis has long been a critical component of cardiac remodelling. Myocardial infarction and myocardial fibrosis result in heart failure and death (Bowry et al, 2015; Zhan et al, 2019).…”

“…Moreover, GAL decreased Bax and caspase-3 gene expression while increasing Bcl-2 in diabetic animals' kidneys (Aladaileh et al, 2021). Myocardial infarction and myocardial fibrosis result in heart failure and death (Bowry et al, 2015;Zhan et al, 2019).…”

NDDRF: A risk factor knowledgebase for personalized prevention of neurodegenerative diseases

“…A database that integrates the knowledge of NDD risk factors will benefit the systematic understanding of the heterogeneity of the complex NDDs [27] , [28] . We hereby established a knowledge base, NDDRF, which covers different types of NDDs risk factors, such as, epidemiological factors, genetic factors, biochemical factors, combination factors etc ., developing a powerful resource for comparing of risk factor profiles in pan-NDDs level and for the personalized prevention of NDDs.…”

Mi Risk Assessment in Patients Using the Ez-CVD Risk Assessment Tool

“…Risk of MI is seen 10.62% high in male smokers and 7.38% in non-smokers, whereas 5.88% in female smokers and 2.37% in nonsmoker females. Studies conducted in 52 countries shown that men are more prone to high risk compared to women [8]. Age, gender, smoking, high blood pressure, hyperlipidemia, obesity, alcohol consumption family history of heart attack, sedentary life style, stress factors, and comorbidities such as diabetes, COPD, asthma, and chronic kidney disease are considered as risk factors for MI [9].…”