Gender Differences in Rheumatoid Arthritis: Interleukin-4 Plays an Important Role

J Immunol Res. 2020 Dec 24:2020:4121524. doi: 10.1155/2020/4121524. eCollection 2020.

Abstract

Introduction: Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by symmetrical peripheral polyarthritis. A large number of studies have shown that RA is characterized by gender differences in clinical manifestations. The purpose of this study is to identify the key molecules of gender differences in patients with RA and to provide new molecular targets for personalized therapy. Material and Methods. The data from GSE55457 were downloaded from the comprehensive gene expression comprehensive database, and two groups (RA vs. No-RA groups, Male-RA vs. Female-RA groups) of differentially expressed genes (EDGs) were obtained by GEO2R. The GO function and KEGG pathway analyses of DEGs were carried out through the plug-in ClueGO in Cytoscape. Based on the STRING online, a protein-protein interaction (PPI) network was constructed. Hub genes were selected from CytoHubba. Through the intersection of the top 10 hub genes in two sets of EDGs, the key genes and related KEGG pathways were found. Quantitative Real-Time PCR and Western blotting analysis were performed for verification.

Results: 1230 DEGs were screened between RA and No-RA groups, and 306 DEGs were screened between male and female RA groups. The common key gene of the two groups is IL-4. Between RA group and No-RA group, interleukin-4 (IL-4) participates in cytokine-cytokine receptor interaction, Th1 and Th2 cell differentiation, Th17 cell differentiation, T cell receptor signaling pathway, etc.

Conclusion: This study contributes to the molecular biological mechanism of gender differences in RA. IL-4 may have played an important role.

MeSH terms

  • Arthritis, Rheumatoid / epidemiology*
  • Arthritis, Rheumatoid / etiology*
  • Arthritis, Rheumatoid / metabolism
  • Biomarkers
  • Computational Biology / methods
  • Databases, Genetic
  • Disease Susceptibility*
  • Female
  • Gene Expression Profiling / methods
  • Gene Expression Regulation
  • Gene Ontology
  • Gene Regulatory Networks
  • Humans
  • Interleukin-4 / genetics
  • Interleukin-4 / metabolism
  • Male
  • Protein Interaction Maps
  • Sex Factors

Substances

  • Biomarkers
  • IL4 protein, human
  • Interleukin-4