摘要
目的 通过加权基因共表达网络分析(WGCNA)鉴定与病毒性脓毒症儿童患者相关的关键基因.方法 使用GSE119217数据集进行差异表达基因(DEGs)分析,筛选病毒性脓毒症儿童患者相关的DEGs.采用WGCNA筛选与脓毒症临床特征相关性最高的模块.利用维恩图将所选模块中的基因和DEGs取交集,获得致病基因.利用Cytoscape中的CytoHubba插件选择MCC算法中的前10个基因.结果 通过GSE119217数据集筛选出154 个与病毒性脓毒症儿童患者相关的DEGs,43 个与脓毒症相关的高危致病基因.筛选出前10个基因包括RSAD2、DDX60、IFIT3、IFIT2、IFIT1、ISG15、RTP4、IFI44、USP18、XAF1.这些基因主要与病毒的防御反应、干扰素信号、对生物刺激反应的调节、干扰素刺激基因的抗病毒机制有关.结论 RSAD2、DDX60、IFIT3、IFIT2、IFIT1、ISG15、RTP4、IFI44、USP18、XAF1是与病毒性脓毒症相关的高危致病基因,可能通过多种途径影响病毒性脓毒症的发生发展.
Abstract
Objective To identify key genes associated with viral sepsis in pediatric patients through weighted gene co-expression network analysis(WGCNA).Methods Differentially expressed genes(DEGs)related to viral sepsis in pediatric patients were identified using the GSE119217 dataset.WGCNA was employed to select modules most correlated with sepsis clinical features.A Venn diagram was used to intersect genes from selected modules with DEGs,identifying pathogenic genes.The top 10 genes were selected using the CytoHubba plugin in Cytoscape with the MCC algorithm.Results From the GSE119217 dataset,154 DEGs related to viral sepsis in pediatric patients were identified,among which 43 high-risk pathogenic genes were highlighted.The top 10 genes included RSAD2,DDX60,IFIT3,IFIT2,IFIT1,ISG15,RTP4,IFI44,USP18,and XAF1.These genes were primarily associated with viral defense responses,interferon signaling,regulation of responses to biological stimuli,and antiviral mechanisms of interferon-stimulated genes.Conclusion RSAD2,DDX60,IFIT3,IFIT2,IFIT1,ISG15,RTP4,IFI44,USP18,and XAF1 are high-risk pathogenic genes related to viral sepsis and may influence the occurrence and development of viral sepsis through multiple pathways.
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万方数据