当前位置: X-MOL 学术Hereditas › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Network analysis of potential risk genes for psoriasis
Hereditas ( IF 2.1 ) Pub Date : 2021-06-16 , DOI: 10.1186/s41065-021-00186-w
Huilin Wang 1 , Wenjun Chen 1 , Jin He 1 , Wenjuan Xu 1 , Jiangwei Liu 1
Affiliation  

Psoriasis is a complex chronic inflammatory skin disease. The aim of this study was to analyze potential risk genes and molecular mechanisms associated with psoriasis. GSE54456, GSE114286, and GSE121212 were collected from gene expression omnibus (GEO) database. Differentially expressed genes (DEGs) between psoriasis and controls were screened respectively in three datasets and common DEGs were obtained. The biological role of common DEGs were identified by enrichment analysis. Hub genes were identified using protein–protein interaction (PPI) networks and their risk for psoriasis was evaluated through logistic regression analysis. Moreover, differentially methylated positions (DMPs) between psoriasis and controls were obtained in the GSE115797 dataset. Methylation markers were identified after comparison with the common genes. A total of 118 common DEGs were identified, which were mainly involved in keratinocyte differentiation and IL-17 signaling pathway. Through PPI network, we identified top 10 degrees as hub genes. Among them, high expression of CXCL9 and SPRR1B may be risk factors for psoriasis. In addition, we selected 10 methylation-modified genes with the higher area under receiver operating characteristic curve (AUC) value as methylation markers. Nomogram showed that TGM6 and S100A9 may be associated with an increased risk of psoriasis. This suggests that immune and inflammatory responses are active in keratinocytes of psoriatic skin. CXCL9, SPRR1B, TGM6 and S100A9 may be potential targets for the diagnosis and treatment of psoriasis.

中文翻译:

银屑病潜在风险基因的网络分析

银屑病是一种复杂的慢性炎症性皮肤病。本研究的目的是分析与银屑病相关的潜在风险基因和分子机制。GSE54456、GSE114286 和 GSE121212 从基因表达综合 (GEO) 数据库中收集。在三个数据集中分别筛选银屑病和对照之间的差异表达基因(DEGs),并获得常见的DEGs。通过富集分析确定了常见 DEG 的生物学作用。使用蛋白质-蛋白质相互作用 (PPI) 网络识别 Hub 基因,并通过逻辑回归分析评估其患银屑病的风险。此外,在 GSE115797 数据集中获得了银屑病和对照之间的差异甲基化位置 (DMP)。甲基化标记在与共同基因比较后被鉴定。共鉴定出 118 个常见的 DEG,主要参与角质形成细胞分化和 IL-17 信号通路。通过 PPI 网络,我们将前 10 个度数确定为枢纽基因。其中CXCL9和SPRR1B的高表达可能是银屑病的危险因素。此外,我们选择了接受者操作特征曲线(AUC)值下面积较高的10个甲基化修饰基因作为甲基化标记。列线图显示 TGM6 和 S100A9 可能与银屑病风险增加有关。这表明免疫和炎症反应在银屑病皮肤的角质形成细胞中是活跃的。CXCL9、SPRR1B、TGM6 和 S100A9 可能是银屑病诊断和治疗的潜在靶点。通过 PPI 网络,我们将前 10 个度数确定为枢纽基因。其中CXCL9和SPRR1B的高表达可能是银屑病的危险因素。此外,我们选择了接受者操作特征曲线(AUC)值下面积较高的10个甲基化修饰基因作为甲基化标记。列线图显示 TGM6 和 S100A9 可能与银屑病风险增加有关。这表明免疫和炎症反应在银屑病皮肤的角质形成细胞中是活跃的。CXCL9、SPRR1B、TGM6 和 S100A9 可能是银屑病诊断和治疗的潜在靶点。通过 PPI 网络,我们将前 10 个度数确定为枢纽基因。其中CXCL9和SPRR1B的高表达可能是银屑病的危险因素。此外,我们选择了接受者操作特征曲线(AUC)值下面积较高的10个甲基化修饰基因作为甲基化标记。列线图显示 TGM6 和 S100A9 可能与银屑病风险增加有关。这表明免疫和炎症反应在银屑病皮肤的角质形成细胞中是活跃的。CXCL9、SPRR1B、TGM6 和 S100A9 可能是银屑病诊断和治疗的潜在靶点。我们选择了接受者操作特征曲线(AUC)值下面积较高的 10 个甲基化修饰基因作为甲基化标记。列线图显示 TGM6 和 S100A9 可能与银屑病风险增加有关。这表明免疫和炎症反应在银屑病皮肤的角质形成细胞中是活跃的。CXCL9、SPRR1B、TGM6 和 S100A9 可能是银屑病诊断和治疗的潜在靶点。我们选择了接受者操作特征曲线(AUC)值下面积较高的 10 个甲基化修饰基因作为甲基化标记。列线图显示 TGM6 和 S100A9 可能与银屑病风险增加有关。这表明免疫和炎症反应在银屑病皮肤的角质形成细胞中是活跃的。CXCL9、SPRR1B、TGM6 和 S100A9 可能是银屑病诊断和治疗的潜在靶点。
更新日期:2021-06-17
down
wechat
bug