Identify the potential pathways and candidate biomarkers of stroke associated with bipolar disorder: Bioinformatics and system biology approach

Abstract The field of computational bioinformatics and systems biology analysis is growing rapidly as a result of advanced bioinformatics tools. Bipolar Disorder (BD) is one of the most serious psychiatric illnesses that affect both adults and adolescent. In recent years the danger of stroke is expanded in people with BD. Stroke and BD diseases are interrelated. Background studies suggest that BD and stroke share a large number of biochemical as well as genetic characteristics. The aim of this study was to explore the association between genetic variations and the two aforementioned disorders.as well as and to construct a PPI network or identical channel. For this reason, common genes are discovered to identify shared pathways. Based on biochemical, molecular, and genetic interactions between shared genes, this study finds the most important hub genes. Observing these associations, the Protein-Protein Interaction (PPI) network, Topological properties analysis, Enrichment Analysis, Co-Expression network, Gene regulatory network (GRN), and also physical interaction network are displayed. Thus, this will help to compare the biochemical and genetic characteristics of BD and Stroke. The interaction of proteins with drug compounds allows for the efficient creation of drugs for this study. Finally chemical experiments may be used to further verify the efficacy of these drugs.