加权基因共表达网络分析慢性鼻窦炎伴鼻息肉发病机制  

Weighted gene co-expression network analysis of the pathogenesis of chronic rhinosinusitis with nasal polyps

作　　者：陈哲[1] 肖伟[1] 刘萌芷 彭涛[1] 叶林峰[1] CHEN Zhe;XIAO Wei;LIU Mengzhi;PENG Tao;YE Linfeng(Dept.of Otolaryngology Head and Neck Surgery,Zhongnan Hospital of Wuhan University,Wuhan430071,Hubei,China)

机构地区：[1]武汉大学中南医院耳鼻咽喉-头颈外科,湖北武汉430071

出　　处：《武汉大学学报（医学版）》2022年第5期811-816,共6页Medical Journal of Wuhan University

基　　金：湖北省卫生健康委科研项目(编号:WJ2019H086)。

摘　　要：目的:挖掘慢性鼻窦炎伴鼻息肉发病的相关基因,探讨其可能机制。方法:采用加权基因共表达网络算法对健康个体及慢性鼻窦炎患者的钩突及息肉组织的基因表达芯片GSE36830进行分析,筛选出与慢性鼻窦炎伴鼻息肉显著相关的模块,并进一步筛选出核心基因,对核心基因进行GO及KEGG分析。最后对核心基因表达量进行差异分析进一步缩小核心基因的范围。结果:在GSE36830芯片中,加权基因共表达网络算法计算出与慢性鼻窦炎伴鼻息肉显著相关的模块为棕色模块,其中包含392个基因,将棕色模块中的基因按模块身份与基因显著性的不同阈值进一步筛选核心基因,共24个基因为核心基因。对24个核心基因进行GO及KEGG分析后可发现相关基因与细胞免疫关系密切,主要作用于细胞膜,通过调节细胞因子、趋化因子的活性及相关受体等发挥生物学功能。进一步对核心基因表达量进行差异分析,基因CCL22、GFI1B、ITGAM、FCER2、CLEC4GP1、CD1E、ALPK2、VSTM1、AOC1、MGARP、IL2RA、COL6A5、CD1A、CLC、SIGLEC8在慢性鼻窦炎伴鼻息肉组息肉组织中与其他组的钩突组织间存在显著差异。结论:加权基因共表达网络可以挖掘出在慢性鼻窦炎伴鼻息肉发病机制中可能存在重要生物学意义的新基因。Objective: To explore the related genes of chronic sinusitis with nasal polyp and possible mechanism of the disease by weighted gene co-expression network analysis(WGCNA). Methods: This paper used WGCNA to analyze the microarray of uncinate process and polyp tissue of healthy individuals and patients with chronic sinusitis, screened out the modules in relation to chronic rhinosinusitis with nasal polyps, and further explored hub genes. Then GO analysis and KEGG analysis were used to detect the function of hub genes. Finally, the different expression analysis of the hub genes further narrowed the scope of hub genes. Resluts:In microarray GSE36830, we calculated that brown module was significantly related to chronic rhinosinusitis with nasal polyps, which contained 392 genes. The genes in the brown module were divided into different parts by the thresholds of module identity and gene significance. And among all the genes in brown module, 24 genes were considered hub genes.After GO analysis and KEGG analysis of 24 hub genes, it can be found that those genes were closely related to cellular immunity, mainly acting on the cell membrane, and exerting biological functions by regulating the activity of cytokines and chemokines and related receptors. Further differential analysis of the expression of hub genes, CCL22, GFI1B, ITGAM, FCER2, CLEC4GP1, CD1E, ALPK2,VSTM1, AOC1, MGARP, IL2RA, COL6A5, CD1A, CLC, and SIGLEC8 in the polyp tissues in the group of chronic rhinosinusitis with nasal polyps were significant changed as compared with those in the other groups. Conclusion: The weighted gene co-expression network analysis can unearth new genes that may have important biological functions in chronic rhinosinusitis with nasal polyps.

关 键 词：慢性鼻窦炎伴鼻息肉 加权基因共表达网络 GO分析 KEGG分析 差异表达基因 

分 类 号：R765[医药卫生—耳鼻咽喉科]