Identification of signal pathways and biomarkers of plaque psoriasis and prediction of potential microRNA targets via comprehensive strategies

• 作者: Ji-Hong Li Jia-Yu Zhang Yuan-Xia Zou
• 来源期刊: 亚洲毒理学研究
• 学科: 医学
• 关键词: Plaque psoriasis Bioinformatics analysis Biomarkers Signal pathway MICRORNA
• 年，卷（期）: 2021,（1）
• 页码范围: 1-14
• 页数: 14页
• 分类号: R75

摘要

Psoriasis is a complex skin disease and the pathogenesis of psoriasis is not clear.The purpose of this study is to identify the key driving genes and signal pathways involved in psoriasis and to predict the potential miRNA,for further understanding the pathogenesis of psoriasis.Methods:Three gene expression profiling chips,including GSE67853,GSE78097,and GSE136757 with a total of 120 samples were collected and analyzed with R software.The protein-protein interaction network of differentially expressed genes was constructed with STRING database and Cytoscape.CIBERSORT was used to evaluate the infiltration of immune cells in psoriasis tissues,and the correlation between diagnostic markers and infiltrating immune cells was analyzed.Further,the key biomarkers were identified and the targeting miRNA of crucial genes was predicted.Results:A total of 201 differentially expressed genes(163 upregulated genes and 38 downregulated genes)were determined.CXCL1,CXCL2,and CXCL8,the critical biomarkers of psoriasis,were identified by different calculation methods.The potential critical signal pathway NOD-like receptor signaling pathway of psoriasis was explored by gene expression profiling chip gene enrichment analysis and differentially expressed gene enrichment analysis.Immune cell infiltration analysis found that CXCL1,CXCL2,CXCL8 was positively correlated with macrophages M1 and T cells CD4 memory activated and negatively correlated with macrophages M2 and mast cells resting.At the same time,through miRNA prediction,we found that hsa-miR-216a-3p and hsa-miR-6750-5p can be used as potential psoriasis targets.Conclusions:This research proposes a new comprehensive strategy to identify psoriasis’s potential biomarkers through cross-validation and significant scores of different calculation methods.In this research,we identified CXCL1,CXCL2,and CXCL8 as potential key biomarkers of psoriasis,and the NOD-like receptor signaling pathway is the critical signal pathway of psoriasis.Hsa-miR-216a-3p and hsa-miR-6750-5p can be used as