Identification of key pathways and genes involved in psoriasis and vitiligo using bioinformatics analysis

Jingzhan Zhang, Pan-pan Zhang, Yuan Ding, Tingting Li, Xiao-Jing Kang
{"title":"Identification of key pathways and genes involved in psoriasis and vitiligo using bioinformatics analysis","authors":"Jingzhan Zhang, Pan-pan Zhang, Yuan Ding, Tingting Li, Xiao-Jing Kang","doi":"10.1097/jd9.0000000000000337","DOIUrl":null,"url":null,"abstract":"\n \n 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.\n \n \n \n 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.\n \n \n \n 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.\n \n \n \n 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.\n","PeriodicalId":34265,"journal":{"name":"International Journal of Dermatology and Venerology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Dermatology and Venerology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/jd9.0000000000000337","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.20
自引率
0.00%
发文量
2950
审稿时长
12 weeks
期刊最新文献
Association of methionine synthase rs1805087 polymorphism with arsenic-related skin pigmentary changes: a population-based case–control study Areal roughness of the dorsal nail plate Expert consensus on the clinical application of aminolevulinic acid-based photodynamic therapy for acne vulgaris (2022)# Identification of key pathways and genes involved in psoriasis and vitiligo using bioinformatics analysis Systematic review and meta-analysis Literature-based Clinical Retrospective Analysis of Acquired Reactive Perforating Collagenosis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1