基于生物信息学预测银屑病免疫诊疗基因

Prediction of immune diagnosis and treatment genes of psoriasis based on bioinformatics

目的基于生物信息学预测银屑病免疫诊疗基因。方法从基因表达综合公共数据库(Gene Expression Omnibus,CEO)下载三个银屑病基因表达谱数据集,分析其基因表达情况。针对与银屑病相关的差异表达基因进行功能富集分析,并构建加权基因共表达网络(WGCNA)。通过绘制ROC曲线比较曲线下面积来评估预测基因的诊断价值。此外,我们还使用ssGSEA法来评估银屑病与免疫细胞浸润水平的关系。结果发现了两个靶基因(ANKRD18A和ANKRD33B)ROC曲线分析提示,这两个基因可能在银屑病的发病机制中起重要作用。经过进一步的基因相关性分析和免疫浸润分析显示,这两个基因可能是诊疗银屑病的重要基因。结论ANKRD18A、ANKRD33B可作为诊疗银屑病的潜在基因.

Objective To predict the immune diagnosis and treatment genes of psoriasis based on bioinformat-ics.Methods Three datasets of psoriasis gene expression profiles were downloaded from the Gene Expression Om-nibus(GEO)to analyze their gene expression.Functional enrichment analysis was performed on differentially ex-pressed genes related to psoriasis,and a weighted gene co-expression network(WGCNA)was constructed.The di-agnostic value of the predicted genes was evaluated by plotting ROC curves to compare the areas under the curves.In addition,the ssGSEA method was used to evaluate the relationship between psoriasis and immune cell infiltra-tion levels.Results Two target genes(ANKRD18A and ANKRD33B)were discovered.ROC curve analysis suggest-ed that these two genes may play an important role in the pathogenesis of psoriasis.Further gene correlation analy-sis and immune infiltration analysis revealed that these two genes may be important genes for the diagnosis and treatment of psoriasis.Conclusion ANKRD18A and ANKRD33B can be used as potential genes for the diagnosis andtreatment of psoriasis.