[1]德宝军,焦博然,毕雅琼,等.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(01):18-26.[doi:10.3969/j.issn.1006-1959.2026.01.003]
 DE Baojun,JIAO Boran,BI Yaqiong,et al.Screening of Biomarkers in Patients with Psoriasis Vulgaris Based on Integrated Bioinformatics Analysis[J].Journal of Medical Information,2026,39(01):18-26.[doi:10.3969/j.issn.1006-1959.2026.01.003]
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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()

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
39卷
期数:
2026年01期
页码:
18-26
栏目:
生物信息学
出版日期:
2026-01-01

文章信息/Info

Title:
Screening of Biomarkers in Patients with Psoriasis Vulgaris Based on Integrated Bioinformatics Analysis
文章编号:
1006-1959(2026)01-0018-09
作者:
德宝军12焦博然3毕雅琼3那松白乙拉3王亚娟3房 君123
1.内蒙古阿吉泰蒙医医院蒙医心身医学科,内蒙古 鄂尔多斯 017299;2.内蒙古自治区国际蒙医医院蒙医心身医学科,内蒙古 呼和浩特 010020;3.内蒙古自治区中蒙医药研究院心身医学研究所,内蒙古 呼和浩特 010010
Author(s):
DE Baojun12 JIAO Boran3 BI Yaqiong3 Nasongbaiyila3 WANG Yajuan3 FANG Jun123
1.Department of Mongolian Psychosomatic Medicine, Ajitai Mongolian Medicine Hospital, Ordos 017299, Inner Mongolia, China;2.Department of Mongolian Psychosomatic Medicine, International Mongolian Hospital of Inner Mongolia,Hohhot 010020, Inner Mongolia, China;3.Institute of Psychosomatic Medicine, Inner Mongolia Traditional Chinese & Mongolian Medical Research Institute,Hohhot 010010, Inner Mongolia, China
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LASSO
Keywords:
Psoriasis vulgaris Integrated bioinformatics Biomarkers Immune cell infiltration LASSO
分类号:
R758.63
DOI:
10.3969/j.issn.1006-1959.2026.01.003
文献标志码:
A
摘要:
目的 本研究旨在运用整合生物信息学方法,识别与寻常型银屑病发病相关的关键生物标志物及免疫学通路,并探讨其与免疫细胞浸润之间的关系。方法 首先利用加权基因共表达网络分析(WGCNA)从实验数据库中筛选差异表达基因(DEGs);随后结合最小绝对收缩与选择算子(LASSO)和支持向量机递归特征消除(SVM-RFE)进一步筛选关键枢纽DEGs。接着在训练数据集和独立验证数据集中评估核心DEGs的表达水平,以判定其诊断价值并验证其特异性。采用单样本基因集富集分析(ssGSEA)评估样本的免疫细胞浸润程度,并分析其与枢纽基因标记物之间的相关性。结果 本研究整合公共转录组数据构建元数据队列,经批次校正与Limma分析共识别452个差异表达基因(DEGs)。通过LASSO与SVM-RFE方法筛选出10个枢纽基因,最终鉴定出C10orf99、PLBD1、FCHSD1、C12orf56(均显著上调)及ZSCAN18(显著下调)5个核心基因,该表达模式在独立数据集中得到验证。功能富集分析表明,DEGs主要参与先天免疫应答、细胞因子反应及IL-17等炎症相关通路。免疫浸润分析进一步揭示银屑病组织中多种免疫细胞显著增多,且中性粒细胞、CD56dim NK细胞等与核心基因呈显著正相关或负相关。GSEA分析提示差异基因广泛富集于T细胞、B细胞、单核细胞及树突状细胞等相关免疫通路。结论 本研究的核心发现在于确定了C10orf99、PLBD1、FCHSD1、ZSCAN18及C12orf56等基因在银屑病中的关键作用,这为探寻该疾病的诊断与治疗新策略提供了潜在靶点。展望未来,通过独立的功能实验与临床队列研究以验证这些基因的生物学功能及临床应用价值,将是推动本研究成果转化的关键一步。
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 innatemmune 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.

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更新日期/Last Update: 1900-01-01