Identification of potential biomarkers and small‑molecule compounds related to intracerebral hemorrhage with bioinformatics analysis

Abstract

This study aimed to further explore the underlying molecular mechanism of intracerebral hemorrhage (ICH), gene expression profile GSE24265, containing perihematomal tissues, contralateral grey matter, and contralateral white matter was retrieved and analyzed. The data was hierarchically clustered and the differentially expressed genes (DEGs) were screened. Functional analysis and protein interaction analysis of DEG hubs were performed, and the miRNA‑transcription factor (TF)‑target network was built. In addition, the candidate small-molecule compounds that might reverse the expression of an ICH‑linked gene were identified by CMap. This method revealed a total of 408 DEGs. Five modules including chemokine-related, antigen immune-related, pathogen infection, cell reaction, and positive regulation of tyrosine phosphorylation and MAPK cascade were identified. The expression levels of CCL5, CXCL8, ICAM1, IL-1B, IL-6, VCAM1, and VEGFA were correlated with ICH among the top 10 hub genes obtained in the protein protein interaction (PPI) network. A total of 237 miRNA‑TF‑target regulatory relationships were obtained, including 6 TFs, 11 miRNAs and 105 target genes. Finally, the CMap database identified Prestwick-1083, xamoterol, ifosfamide, methyldopate, nifurtimox, propranolol, and methoxamine as potential therapeutic agents for ICH while doxorubicin, menadione and azacitidine may increase its pathogenicity. Furthermore, CCL5, CXCL8 and VEGFA may be novel candidate susceptibility genes for ICH. Some small-molecule drugs, including xamoterol may be used for the treatment of ICH.