基于生物信息学方法筛选散发性克雅氏病神经炎症相关关键基因

目的:鉴定散发性克雅氏病(SCJD)神经炎症相关的关键基因.方法:用GEO2R工具筛选GSE160208数据集中的SCJD脑组织(n=27)和正常脑组织(n=20)的差异表达基因(DEGs).用R语言的"cluster Profiler"和"DOSE"包对DEGs进行富集分析.通过STRING数据库和Cytoscape...

Identification of hub genes related to neuroinflammation of sporadic Creutzfeldt-Jakob disease by integrated bioinformatics analysis

Objective:To investigate the key genes related to neuroinflammation of sporadic Creutzfeldt-Jakob disease（SCJD）. Methods: GEO2R was used to screen the differentially expressed genes（DEGs） between SCJD brain tissue （n=27） and normal brain tissue（n=20） from the GSE160208 dataset，and functional enrichment analysis of DEGs was performed using "cluster Profiler" and "DOSE" packages in the R language. Then，a protein-protein interaction（PPI） network of the DEGs was established by the STRING database and Cytoscape to screen key genes. The GSE124571 dataset was used to verify the expression of key genes，and ROC curves of key genes were drawn to identify hub genes of SCJD. Results: The results of enrichment analysis of 127 DEGs suggest that DEGs were related to phagosome，neuclear factor-κB signal pathway and B cell receptor signal pathway. After constructing of PPI network，verifying of GSE124571 dataset and drawing ROC curves，TLR2，C1QA，ITGAM，and C3AR1 are highly expressed in SCJD（t=2.12，3.197，3.107， 3.284，all P＜0.05） and had highly diagnostic efficiency for SCJD（area under curve＞0.9），so they were selected as hub genes of SCJD. Conclusion: TLR2，C1QA，ITGAM and C3AR1 play key roles in SCJD and can be used as hub genes related to neuroinflammation in the development of SCJD.