利用生物信息学分析鉴定银屑病和白癜风的关键途径和基因

Q3 Medicine
Jingzhan Zhang, Pan-pan Zhang, Yuan Ding, Tingting Li, Xiao-Jing Kang
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引用次数: 0

摘要

银屑病和白癜风是常见的免疫相关皮肤病。患者通常被临床诊断为同时患有这两种疾病。然而,银屑病和白癜风是否有共同的遗传因素和异常信号通路,使患者容易患上这两种疾病,目前尚不清楚。本研究旨在通过生物信息学分析阐明这些因素。从基因表达综合数据库下载银屑病中的GSE109248和GSE53552以及病变和非病变皮肤组织中的白癜风中的GSE75819和GSE65127的公开可用的基因表达谱,并进行分析以鉴定差异表达基因(DEG)。还进行了基因本体论术语分析、京都基因和基因组百科全书富集分析以及蛋白质-蛋白质相互作用分析,以阐明分子机制。银屑病和白癜风之间存在9个重叠的DEG。它们分别是AKR1B10、CRABP1、FOXC1、GPM6B、KIT、MLPH、SOX10、TAGLN和TUBB2B。除AKR1B10上调外,其他均下调。通路富集分析显示,这些重叠的DEG主要富集在黑素细胞分化中;外分泌系统发育;间充质细胞发育;干细胞分化和发育;以及神经嵴细胞的分化、发育和迁移。RT-qPCR用于验证三名银屑病合并白癜风患者的病变与邻近非病变组织相比DEG的表达。研究证实,AKR1B10、FOXC1、KIT、MLPH和SOX10在病变中与邻近的非病变组织相比存在统计学显著差异(P<0.05),这与生物信息学结果一致。在这项研究中,我们检测了潜在的基因及其相关的富集途径,以帮助理解银屑病和白癜风同时发生的分子机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of key pathways and genes involved in psoriasis and vitiligo using bioinformatics analysis
Psoriasis and vitiligo are common immune-related skin disorders. Patients are often clinically diagnosed with both diseases. However, whether psoriasis and vitiligo share common genetic factors and aberrant signal pathways that predispose patients to both diseases remains unclear. This study was performed to clarify these factors using bioinformatics analysis. Publicly available gene expression profiles for GSE109248 and GSE53552 in psoriasis and GSE75819 and GSE65127 in vitiligo from lesional and non-lesional skin tissues were downloaded from the Gene Expression Omnibus database and analyzed to identify differentially expressed genes (DEGs). Gene Ontology terms analysis, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and protein–protein interaction analysis was also performed to elucidate the molecular mechanisms. Nine overlapping DEGs were found between psoriasis and vitiligo. They are AKR1B10, CRABP1, FOXC1, GPM6B, KIT, MLPH, SOX10, TAGLN, and TUBB2B, respectively. Except for the upregulation of AKR1B10, others are downregulated. Pathway enrichment analyses revealed that these overlapping DEGs were mainly enriched in melanocyte differentiation; exocrine system development; mesenchymal cell development; stem cell differentiation and development; and neural crest cell differentiation, development, and migration. RT-qPCR was used to verify the expression of the DEGs in lesions compared to adjacent non-lesional tissues from three patients with psoriasis combined with vitiligo. Research confirmed that there were statistically significant differences among AKR1B10, FOXC1, KIT, MLPH and SOX10 in lesions compared to adjacent non-lesional tissues (P<0.05), which was consistent with the bioinformatical results. In this study, we detected potential genes and their associated enriched pathways to help understand the molecular mechanisms underlying the simultaneous occurrence of psoriasis and vitiligo.
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
2950
审稿时长
12 weeks
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