Objective：Bioinformatics was used to analyze the mechanism of action in the treatment of ischemic stroke （IS）. Methods：Potential targets for the treatment of IS were identified through the GEO database，signaling pathways，biological processes，and molecular functions involving targets were identified using Gene Ontology （GO） enrichment analysis and Kyoto Gene and Genome Encyclopedia （KEGG） signaling pathway enrichment analysis，protein interaction analysis （PPI） networks were constructed through STRING online databases，imported into Cytoscape software，and built networks，and key targets were screened by CytoHubba plugins. Results：The key targets were identified as C-X-C motif chemokine 8（CXCL8），Tumor necrosis factor（ TNF），and C-X-C motif chemokine 2（CXCL2），interleukin-6（ IL-6），C-X-C motif chemokine 1（ CXCL1），interleukin-1β（ IL-1β），C-C motif chemokine 4（ CCL4），interleukin-1α （IL-1α），Intercellular adhesion molecule 1（ICAM1），Prostaglandin G/H synthase 2（PTGS2），the key pathway is chemokine signaling pathway. Conclusion：The selected key genes may become markers for the diagnosis of IS or potential therapeutic targets，and provide a new theoretical basis for the study of the pathogenesis of the disease.