Bioinformatics strategy to identify the pathogenesis of intracerebral hemorrhage

Abstract

Objective: A bioinformatics approach was used to determine the key targets for the pathogenesis of intracerebral hemorrhage (ICH). Methods: Entering "intracerebral hemorrhage " as keywords, we searched for and downloaded ICH-related targets using the GeneCards database. Meanwhile, we collected the relevant targets from cortex through GeneCards database. Then, downloaded data were integrated so as to obtain the intersected genes from the targets between ICH and cortex, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were conducted using R language. Lastly, we map the key genes from protein-protein interaction (PPI) into GO and KEGG so as to acquire hub genes in cortex subjected to ICH injury. Results: After inputting the terms "intracerebral hemorrhage" into GeneCards, 1159 targets were recognized in the GeneCards database, 87465 cortex-related targets were retrieved. Furthermore, 1125 intersected genes were identified through Venny analysis. Subsequently, GO enrichment analysis revealed that these genes are primarily involved in biological processes such as wound healing, regulation of body fluid levels, response to peptides, positive regulation of responses to external stimuli, and cytokine-mediated signaling pathways. KEGG pathway enrichment analysis indicated that these genes are mainly associated with inflammatory pathways, including PI3K-AKT, JAK-STAT, and HIF-1. Conclusions: Our results comprehensively illustrated the potential targets involved in the pathogenesis of ICH, therefore, providing new insights for molecular therapy of ICH in future clinic trial development. Keywords: Bioinformatics; intracerebral hemorrhage (ICH); cortex