E Cailing, Wang Rongying, Meng Zudong, Zou Yulin
Department of Dermatology, Renmin Hospital, Hubei University of Medicine, Shiyan, People's Republic of China.
Department of Dermatology, Venereology and Allergology, University Medical Center Göttingen, Göttingen, Germany.
Clin Cosmet Investig Dermatol. 2024 Oct 3;17:2197-2213. doi: 10.2147/CCID.S484034. eCollection 2024.
Psoriasis, a chronic and recurrent inflammatory skin disease, current treatments can only alleviate its symptoms. There is still no complete cure. Although increasing research supports the therapeutics to be better, the common mechanism of its occurrence is still not fully elucidated. Our study is about further explore the molecular mechanism of the occurrence of this disease.
The gene expression profiles of psoriasis (GSE151177, GSE41664, GSE30999) were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the common differentially expressed genes (DEGs) of psoriasis using R software, three kinds of analyses were performed, namely WGCNA, GWAS Analysis, Drug Target Prediction.
A total of 14 common DEGs was selected for subsequent analyses. Our Drug Target Prediction analysis revealed that the expression profiles influenced by certain drugs, including methotrexate, budesonide, amino purvalanol-a, and selumetinib, exhibited negative correlations with the disease-perturbed expression profiles. Finally, It was found that S100A4, JAML, TRAF3IP3, MIAT, IL7R, and KLRB1 were prominently expressed in the immune pathway related to allograft rejection. In the metabolic pathway, oxidative phosphorylation showed high expression levels, while the reactive oxygen species pathway was notably expressed in the signaling pathways domain.
Our study reveals the potential drugs and pathogenesis of psoriasis. These potential pathway and hub genes may provide new ideas for further mechanism research.
银屑病是一种慢性复发性炎症性皮肤病，目前的治疗方法只能缓解其症状，尚无完全治愈的方法。尽管越来越多的研究支持治疗效果有所改善，但其发病的共同机制仍未完全阐明。我们的研究旨在进一步探索该疾病发生的分子机制。
从基因表达综合数据库（GEO）下载银屑病的基因表达谱（GSE151177、GSE41664、GSE30999）。使用R软件鉴定银屑病的共同差异表达基因（DEG）后，进行了三种分析，即加权基因共表达网络分析（WGCNA）、全基因组关联研究（GWAS）分析、药物靶点预测。
共选择了14个共同的DEG进行后续分析。我们的药物靶点预测分析表明，受某些药物（包括甲氨蝶呤、布地奈德、氨基嘌呤醇-a和司美替尼）影响的表达谱与疾病干扰的表达谱呈负相关。最后发现，S100A4、JAML、TRAF3IP3、MIAT、IL7R和KLRB1在与同种异体移植排斥相关的免疫途径中显著表达。在代谢途径中，氧化磷酸化表达水平较高，而活性氧途径在信号通路领域中显著表达。
我们的研究揭示了银屑病的潜在药物和发病机制。这些潜在途径和核心基因可能为进一步的机制研究提供新思路。
