目的:银屑病,一种免疫介导的疾病,是一种病因不明的多因素疾病。这项研究旨在发现这种丘疹鳞状皮肤病的可能生物标志物。
方法:基因芯片GSE55201,通过实验研究,我们从GEO下载了44例银屑病患者和30例健康对照,并利用加权基因共表达网络分析来鉴定hub基因.使用模块特征值确定关键模块。我们使用了生物功能(BF),细胞成分,基因本体论(GO)分析和京都百科全书中的分子功能以及基因代谢途径中的基因组富集分析用于富集分析。
结果:通过使用幂邻接函数构建邻接矩阵,将相关性转换为邻接矩阵的幂为4,拓扑拟合指数为0.92。使用加权基因共表达网络分析,确定了11个模块。绿黄色模块特征值与银屑病显著相关(Pearson相关=0.53,P<0.001)。候选集线器基因由它们的较高连通性和与模块特征值的关系决定。这些基因包括SIGLEC8、IL5RA、CCR3,RNASE2,CPA3,GATA2,c-KIT,和PRSS33被记录为hub基因。
结论:我们可以得出结论,SIGLEC8,IL5RA,CCR3,RNASE2,CPA3,GATA2,c-KIT,和PRSS33在免疫反应调节中具有重要作用,它们可以被认为是银屑病的潜在诊断生物标志物和治疗靶标。
OBJECTIVE: Psoriasis, an immune-mediated disorder, is a multifactorial disease with unidentified cause(s). This study aimed to discover possible biomarkers of this papulosquamous skin disease.
METHODS: The gene chip GSE55201, resulted from an experimental study, including 44 Psoriasis patients and 30 healthy controls was downloaded from GEO and weighted gene co-expression network analysis was utilized to identify hub genes. Key modules were determined using the module eigenvalues. We used biological functions (BFs), cellular components, and molecular functions in the Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis in the gene metabolic pathway were used for enrichment analysis.
RESULTS: Adjacency matrix was built by using power adjacency function and the power to turn the correlation to adjacency matrix was four with a topology fit index of 0.92. Using the weighted gene co-expression network analysis, 11 modules were identified. The green-yellow module eigenvalues were significantly associated with Psoriasis (Pearson correlation=0.53, P<0.001). Candidate hub genes were determined by their higher connectivity and relationship with module eigenvalue. The genes including SIGLEC8, IL5RA, CCR3, RNASE2, CPA3, GATA2, c-KIT, and PRSS33 were recorded as the hub genes.
CONCLUSIONS: We can conclude that SIGLEC8, IL5RA, CCR3, RNASE2, CPA3, GATA2, c-KIT, and PRSS33 have an important role in the immune response regulation and they could be considered as a potential diagnostic biomarker and therapeutic target for Psoriasis.