Understanding integrative approach of translational bioinformatics on cardiovascular disease: Myocardial Ischemia

Abstract Background Myocardial ischemia is a significant problem in cardiovascular health caused by the obstruction or constriction of coronary arteries, resulting in diminished blood supply to the heart muscle. Translational bioinformatics bridges the gap between biological discoveries and clinical applications, enabling early disease identification, therapy response confirmation, and prognosis prediction. It facilitates the integration and analysis of vast amounts of clinical data, hence advancing clinical research and enhancing therapeutic approaches. Main body This review explores the role of translational bioinformatics in understanding and treating cardiovascular disease, specifically Myocardial Ischemia. It covers the discovery of novel biomarkers (miRNA, lncRNA, and tsRNA), analysis of genes and proteins, and integrated bioinformatics to identify differentially expressed genes. The study highlights the impact of personalized medicine, drug discovery, and repurposing through bioinformatics. Additionally, it examines the application of systems biology and network analysis to understand biological networks, and the use of clinical decision support systems to enhance patient care. This integrative approach demonstrates the potential of bioinformatics to improve cardiovascular health outcomes. Conclusions Combining clinical and omics data using translational bioinformatics is critical for refining treatment regimens and speeding up medication repurposing. This comprehensive study emphasizes the necessity of combining interdisciplinary data to enhance patient outcomes in myocardial ischemia, minimize the global burden of cardiovascular-related deaths, and improve cardiovascular disease management. Graphical abstract