医学信息2026，Vol.39Issue(1)：18-26,9.DOI:10.3969/j.issn.1006-1959.2026.01.003
基于整合生物信息学分析的寻常型银屑病患者生物标志物筛选
Screening of Biomarkers in Patients with Psoriasis Vulgaris Based on Integrated Bioinformatics Analysis
摘要
Abstract
Objective To identify the key biomarkers and immunological pathways related to the pathogenesis of psoriasis vulgaris by using integrated bioinformatics methods,and to explore the relationship between them and immune cell infiltration.Methods Firstly,weighted gene co-expression network analysis(WGCNA)was used to screen differentially expressed genes(DEGs)from the experimental database.Subsequently,the least absolute shrinkage and selection operator(LASSO)and support vector machine recursive feature elimination(SVM-RFE)were combined to further screen the key hub DEGs.Then,the expression levels of core DEGs were evaluated in the training dataset and the independent validation dataset to determine their diagnostic value and verify their specificity.Single-sample gene set enrichment analysis(ssGSEA)was used to evaluate the degree of immune cell infiltration in the samples,and the correlation between ssGSEA and hub gene markers was analyzed.Results In this study,public transcriptome data were integrated to construct a metadata cohort,and a total of 452 differentially expressed genes(DEGs)were identified by batch correction and Limma analysis.Ten hub genes were screened by LASSO and SVM-RFE methods,and five core genes[C10orf99,PLBD1,FCHSD1,C12orf56(all significantly up-regulated)and ZSCAN18(significantly down-regulated)]were finally identified.The expression pattern was verified in an independent data set.Functional enrichment analysis showed that DEGs were mainly involved in inflammation-related pathways such as innate immune response,cytokine response and IL-17.Immune infiltration analysis further revealed that a variety of immune cells were significantly increased in psoriasis tissues,and neutrophils and CD56dim NK cells were significantly positively or negatively correlated with core genes.GSEA analysis suggested that differential genes were widely enriched in T cells,B cells,monocytes,dendritic cells and other related immune pathways.Conclusion The core finding of this study is to determine the key role of C10orf99,PLBD1,FCHSD1,ZSCAN18 and C12orf56 genes in psoriasis,which provides a potential target for exploring new strategies for the diagnosis and treatment of this disease.Looking forward to the future,independent functional experiments and clinical cohort studies to verify the biological function and clinical application value of these genes will be a key step in promoting the transformation of this research results.关键词
寻常型银屑病/整合生物信息学/生物标志物/免疫细胞浸润/LASSOKey words
Psoriasis vulgaris/Integrated bioinformatics/Biomarkers/Immune cell infiltration/LASSO分类
医药卫生引用本文复制引用
德宝军,焦博然,毕雅琼,那松白乙拉,王亚娟,房君..基于整合生物信息学分析的寻常型银屑病患者生物标志物筛选[J].医学信息,2026,39(1):18-26,9.基金项目
1.内蒙古自治区自然科学基金项目(编号:2025YQ040) （编号:2025YQ040）
2.鄂尔多斯市重点研发计划项目(编号:YF20250273) （编号:YF20250273）
3.内蒙古自治区卫生健康中医药(蒙医药)科技计划课题(编号:ZMY-2024209) （蒙医药）
