Exploring the Pathogenesis of Psoriasis Complicated With Atherosclerosis via Microarray Data Analysis

Front Immunol. 2021 May 27:12:667690. doi: 10.3389/fimmu.2021.667690. eCollection 2021.


Background: Although more and more evidence has supported psoriasis is prone to atherosclerosis, the common mechanism of its occurrence is still not fully elucidated. The purpose of this study is to further explore the molecular mechanism of the occurrence of this complication.

Methods: The gene expression profiles of psoriasis (GSE30999) and atherosclerosis (GSE28829) were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the common differentially expressed genes (DEGs) of psoriasis and atherosclerosis, three kinds of analyses were performed, namely functional annotation, protein-protein interaction (PPI) network and module construction, and hub gene identification and co-expression analysis.

Results: A total of 94 common DEGs (24 downregulated genes and 70 upregulated genes) was selected for subsequent analyses. Functional analysis emphasizes the important role of chemokines and cytokines in these two diseases. In addition, lipopolysaccharide-mediated signaling pathway is closely related to both. Finally, 16 important hub genes were identified using cytoHubba, including LYN, CSF2RB, IL1RN, RAC2, CCL5, IRF8, C1QB, MMP9, PLEK, PTPRC, FYB, BCL2A1, LCP2, CD53, NCF2 and TLR2.

Conclusions: Our study reveals the common pathogenesis of psoriasis and atherosclerosis. These common pathways and hub genes may provide new ideas for further mechanism research.

Keywords: atherosclerosis; bioinformatics; differentially expressed genes; hub genes; psoriasis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Atherosclerosis / diagnosis
  • Atherosclerosis / genetics*
  • Atherosclerosis / immunology
  • Databases, Genetic
  • Gene Expression Profiling*
  • Gene Expression Regulation
  • Gene Regulatory Networks
  • Humans
  • Oligonucleotide Array Sequence Analysis*
  • Protein Interaction Maps
  • Psoriasis / complications
  • Psoriasis / diagnosis
  • Psoriasis / genetics*
  • Psoriasis / immunology
  • Signal Transduction
  • Transcriptome*