Identification of psoriasis signature genes and key pathways based on bioinformatics methods

HU Zhenxue; NI Anhong; ZHANG Zhao; YANG Quanming

doi:10.14188/j.1671-8852.2022.0724

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Identification of psoriasis signature genes and key pathways based on bioinformatics methods

更新时间：2026-11-05

- Identification of psoriasis signature genes and key pathways based on bioinformatics methods
- Medical Journal of Wuhan University Vol. 46, Issue 7, Pages: 857-862(2025)
- 作者机构：
  
  1.武汉市皮肤病防治院湖北武汉 430030
  2.武汉美都医疗美容门诊湖北武汉 430061
  3.武汉欧若拉医疗美容门诊部湖北武汉 430021
- 作者简介：
- 基金信息：
- DOI：10.14188/j.1671-8852.2022.0724
  CLC： R758.29
- Received：23 September 2022，
  
  Published：25 July 2025
- 稿件说明：
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胡振学,倪安红,张召等.基于生物信息学方法识别银屑病特征基因及关键通路[J].武汉大学学报（医学版）,2025,46(07):857-862.

HU Zhenxue,NI Anhong,ZHANG Zhao,et al.Identification of psoriasis signature genes and key pathways based on bioinformatics methods[J].Medical Journal of Wuhan University,2025,46(07):857-862.
胡振学,倪安红,张召等.基于生物信息学方法识别银屑病特征基因及关键通路[J].武汉大学学报（医学版）,2025,46(07):857-862. DOI： 10.14188/j.1671-8852.2022.0724.

HU Zhenxue,NI Anhong,ZHANG Zhao,et al.Identification of psoriasis signature genes and key pathways based on bioinformatics methods[J].Medical Journal of Wuhan University,2025,46(07):857-862. DOI： 10.14188/j.1671-8852.2022.0724.

摘要

目的

对银屑病转录谱芯片数据进行生物信息学分析，识别银屑病特征基因及关键通路，以期更深入了解银屑病的发病机制。

方法

从基因芯片数据库（GEO）下载GSE6710数据集数据，利用R语言的limma包

对矫正后的芯片表达谱进行差异分析。随后GO/KEGG分析识别差异表达基因参与的生物学过程及通路。差异表达基因导入STRING数据库进行蛋白互作分析。通过CytoNCA插件对蛋白互作网络进行拓扑分析，识别特征基因，并进行功能注释。

结果

本研究共筛选出90个银屑病差异表达基因（64个上调表达基因，26个下调表达基因）和6个特征基因（CXCL2、CXCL1、CCL4、CCL20、CXCL8和LCN2）。这些特征基因在银屑病病变组织中均呈高表达状态，主要参与了趋化因子介导的信号通路、病毒蛋白与细胞因子和细胞因子受体的相互作用、IL⁃17信号通路、中性白细胞移行等生物学过程及通路。

结论

CXCL2、CXCL1、CCL4、CCL20、CXCL8和LCN2是银屑病发生、发展相关的关键特征基因，这些基因主要涉及机体的免疫炎症反应过程。

Abstract

Objective

To identify the psoriasis characteristic genes and key pathways for a deeper understanding of the pathogenesis of psoriasis by using bioinformatics methods.

Methods

GSE6710 data was obtained from gene expression omnibus (GEO)

and different expression analysis was performed for the corrected chip expression profile by using the limma package in R. GO/KEGG analysis was performed to identify the biological processes and pathways involved by the differentially expressed genes

subsequently. These genes were imported into the STRING database for protein interaction analysis. Topological analysis of the protein interaction network was performed by the CytoNCA plugin to identify signature genes and perform functional annotation.

Results

A total of 90 differentially expressed genes (64 up⁃regulated genes

26 down⁃regulated genes) and 6 signature genes (CXCL2

CXCL1

CCL4

CCL20

CXCL8

and LCN2) were selected. These genes were highly expressed in psoriatic lesion tissues

mainly involved in chemokines⁃mediated signaling pathway

viral protein and cytokine and cytokine receptor interaction

IL⁃17 signaling pathway

neutral leukocyte migration

and other biological processes and pathways.

Conclusion

CXCL2

CXCL1

CCL4

CCL20

CXCL8

and LCN2 were the key genes related to the occurrence and development of psoriasis

which were mainly involved in the inflammatory response process of the body.

关键词

Keywords

references

GRIFFITHS C E , BARKER J N . Pathogenesis and clinical features of psoriasis [J ] . Lancet , 2007 , 370 ( 9583 ): 263 ⁃ 271 .

PARISI R , ISKANDAR I Y K , KONTOPANTELIS E , et al . National, regional, and worldwide epidemiology of psoriasis: Systematic analysis and modelling study [J ] . BMJ , 2020 , 369 : m1590 .

沈乐乐 , 沈浮 , 孙立新 , 等 . 基于生物信息学方法探讨银屑病关键差异基因的免疫浸润机制及相关中药预测分析 [J ] . 中药新药与临床药理 , 2021 , 32 ( 11 ): 1663 ⁃ 1674 .

SHEN L L , SHEN F , SUN L X , et al . Bioinformatics based study on immune infiltration mechanism of psoriasis pivotal differential genes and prediction of related traditional Chinese medicine [J ] . Traditional Chinese Drug Research and Clinical Pharmacology , 2021 , 32 ( 11 ): 1663 ⁃ 1674 .

REISCHL J , SCHWENKE S , BEEKMAN J M , et al . Increased expression of Wnt5a in psoriatic plaques [J ] . J Invest Dermatol , 2007 , 127 ( 1 ): 163 ⁃ 169 .

SZLAVICZ E , OLAH P , SZABO K , et al . Analysis of psoriasis⁃relevant gene expression and exon usage alterations after silencing of SR⁃rich splicing regulators [J ] . Exp Dermatol , 2018 , 27 ( 6 ): 656 ⁃ 662 .

QIAN H Y , WANG M , WANG Y , et al . Role of Galphaq in pathogenesis of psoriasis, a new mechanism about the immune regulation in psoriasis [J ] . Int Immunopharmacol , 2019 , 68 : 185 ⁃ 192 .

HOELT P , CONFAVREUX C , JULLIEN D , et al . Management of psoriatic arthritis among cutaneous psoriasis patients: From pathogenesis to therapy [J ] . G Ital Dermatol Venereol , 2017 , 152 ( 5 ): 458 ⁃ 473 .

GAO L J , SHEN J , REN Y N , et al . Discovering novel hub genes and pathways associated with the pathogenesis of psoriasis [J ] . Dermatol Ther , 2020 , 33 ( 6 ): e13993 .

LUO Y Q , LUO Y Y , CHANG J , et al . Identification of candidate biomarkers and pathways associated with psoriasis using bioinformatics analysis [J ] . Hereditas , 2020 , 157 ( 1 ): 30 .

DEFTU A F , FILIPPI A , SHIBSAKI K , et al . Chemokine (C⁃X⁃C motif) ligand 1 (CXCL1) and chemokine (C⁃X⁃C motif) ligand 2 (CXCL2) modulate the activity of TRPV 1+ /IB4 + cultured rat dorsal root Ganglia neurons upon short⁃term and acute application [J ] . J Physiol Pharmacol , 2017 , 68 ( 3 ): 385 ⁃ 395 .

LI J L , LIM C H , TAY F W , et al . Neutrophils self⁃regulate immune complex⁃mediated cutaneous inflammation through CXCL2 [J ] . J Invest Dermatol , 2016 , 136 ( 2 ): 416 ⁃ 424 .

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