Ischemic stroke (IS) is a prevalent and serious neurological disorder, and inflammation and immune responses are crucial in the development of IS. O-GlcNAcylation is a form of post-translational modification that plays roles in numerous significant biological processes.
Objective
The major objective of the current study was to examine the involvement of O-GlcNAcylation associated genes in the pathogenesis of IS.
Methods
We downloaded two IS datasets from the GEO database, and subsequently the infiltration level of immune cells was quantified and compared. Differentially expressed O-GlcNAcylation genes were identified and machine learning algorithms were utilized to screen the hub genes. Subsequently, the IS samples were further classified based on hub genes through consensus clustering.
Results
Overall, nineteen O-GlcNAcylation related DEGs were identified. Through the machine learning algorithms, eight hub genes related to immune cell infiltration was identified. GSEA results showed that hub genes significantly correlated with immune system, RNA metabolism, and translation. Then two distinct subclusters mediated by O-GlcNAcylation were further defined, and functional analysis of cluster-specific DEGs demonstrated their participation in processes related to inflammation and immune response.
Conclusion
The O-GlcNAcylation has a significant impact on the pathogenesis of IS, which is correlated with immunological response and metabolic activity. The findings of this research could serve as a valuable guide for exploring the molecular mechanisms of IS and offer insights into drug screening and immunotherapy for IS.
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