ArticleAging2024
ITGAM is a critical gene in ischemic stroke.
Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
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- Construction of diagnostic model and subtype analysis of major depressive disorder based on PANoptosis key genes.BMC psychiatry · 2025Article
- Ligand-Receptor Analysis of Brain Cell Type Marker Data Reveals Intricate Endothelial Interaction.Annals of neurosciences · 2025Article
- Time-Course Renal and Pulmonary Injury Analysis and Bioinformatics Screening of Core Pathogenic Genes and Immune Cell Infiltration Patterns in a Sepsis.Journal of inflammation research · 2025Article
- The anti-aging potential of antihypertensive peptides ofFrontiers in aging · 2025Article
- ATF3 prevents retinal ganglion cell apoptosis and mitigates microglia-mediated neuroinflammation in retinal ischemia-reperfusion injury.Frontiers in immunology · 2025Article
- Potential diagnostic markers and therapeutic targets for periodontitis with comorbid infective endocarditis based on bioinformatics and experimental analyses.Frontiers in cell and developmental biology · 2025Article
- Identification of key genes and metabolites in acute ischemic stroke via integrated transcriptomic and metabolomic analysis.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlobally, ischemic stroke (IS) is ranked as the second most prevailing cause of mortality and is considered lethal to human health. This study aimed to identify genes and pathways involved in the onset and progression of IS.
methodsGSE16561 and GSE22255 were downloaded from the Gene Expression Omnibus (GEO) database, merged, and subjected to batch effect removal using the ComBat method. The limma package was employed to identify the differentially expressed genes (DEGs), followed by enrichment analysis and protein-protein interaction (PPI) network construction. Afterward, the cytoHubba plugin was utilized to screen the hub genes. Finally, a ROC curve was generated to investigate the diagnostic value of hub genes. Validation analysis through a series of experiments including qPCR, Western blotting, TUNEL, and flow cytometry was performed.
resultsThe analysis incorporated 59 IS samples and 44 control samples, revealing 226 DEGs, of which 152 were up-regulated and 74 were down-regulated. These DEGs were revealed to be linked with the inflammatory and immune responses through enrichment analyses. Overall, the ROC analysis revealed the remarkable diagnostic potential of ITGAM and MMP9 for IS. Quantitative assessment of these genes showed significant overexpression in IS patients. ITGAM modulation influenced the secretion of critical inflammatory cytokines, such as IL-1β, IL-6, and TNF-α, and had a distinct impact on neuronal apoptosis.
conclusionsThe inflammation and immune response were identified as potential pathological mechanisms of IS by bioinformatics and experiments. In addition, ITGAM may be considered a potential therapeutic target for IS.
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