ArticleJournal of Korean Neurosurgical Society2022
Identification of Hub Genes in the Pathogenesis of Ischemic Stroke Based on Bioinformatics Analysis.
Article in Journal of Korean Neurosurgical Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Circulating MicroRNA Profiling Identifies Distinct MicroRNA Signatures in Acute Ischemic Stroke and Transient Ischemic Attack Patients.International journal of molecular sciences · 2022Trial
- Diagnostic value of miR-148b-3p in left ventricular hypertrophy patients with hypertension.BMC cardiovascular disorders · 2026Article
- Integrative transcriptomic and structural analysis identifies PTGS2 as a key target in ischemic stroke associated with neuroinflammation.Molecular diversity · 2026Article
- Modified human mesenchymal stromal/stem cells restore cortical excitability after focal ischemic stroke in rats.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Article
- Role of miR-181 Family Members in Stroke: Insights into Mechanisms and Therapeutic Potential.International journal of molecular sciences · 2025Review
- Association of plasma microRNA-16-5p and abdominal aortic calcification in maintenance hemodialysis patients.Renal failure · 2024Article
- Exploration of the Shared Gene Signatures and Molecular Mechanisms Between Ischemic Stroke and Atherosclerosis.International journal of general medicine · 2024Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThe present study aimed to identify the function of ischemic stroke (IS) patients' peripheral blood and its role in IS, explore the pathogenesis, and provide direction for clinical research progress by comprehensive bioinformatics analysis.
methodsTwo datasets, including GSE58294 and GSE22255, were downloaded from Gene Expression Omnibus database. GEO2R was utilized to obtain differentially expressed genes (DEGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed using the database annotation, visualization and integrated discovery database. The protein-protein interaction (PPI) network of DEGs was constructed by search tool of searching interactive gene and visualized by Cytoscape software, and then the Hub gene was identified by degree analysis. The microRNA (miRNA) and miRNA target genes closely related to the onset of stroke were obtained through the miRNA gene regulatory network.
resultsIn total, 36 DEGs, containing 27 up-regulated and nine down-regulated DEGs, were identified. GO functional analysis showed that these DEGs were involved in regulation of apoptotic process, cytoplasm, protein binding and other biological processes. KEGG enrichment analysis showed that these DEGs mediated signaling pathways, including HTLV-I infection and microRNAs in cancer. The results of PPI network and cytohubba showed that there was a relationship between DEGs, and five hub genes related to stroke were obtained : SOCS3, KRAS, PTGS2, EGR1, and DUSP1. Combined with the visualization of DEG-miRNAs, hsa-mir-16-5p, hsa-mir-181a-5p and hsa-mir-124-3p were predicted to be the key miRNAs in stroke, and three miRNAs were related to hub gene.
conclusionThirty-six DEGs, five Hub genes, and three miRNA were obtained from bioinformatics analysis of IS microarray data, which might provide potential targets for diagnosis and treatment of IS.
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