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Identification of Candidate Genes Related to Synovial Macrophages in Rheumatoid Arthritis by Bioinformatics Analysis

Jia Xu1, Ming-Ying Zhang2, Wei Jiao1

  • 1First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong, People's Republic of China.

International Journal of General Medicine
|November 12, 2021
PubMed
Abstract

Insights

This study identifies 10 key genes in synovial macrophages of rheumatoid arthritis (RA) patients. These genes may serve as potential biomarkers for RA diagnosis, prognosis, and therapy.

Area of Science:

  • Immunology
  • Genetics
  • Bioinformatics

Background:

  • Rheumatoid arthritis (RA) is a widespread inflammatory condition.
  • The specific genes and pathways in synovial fluid macrophages of RA patients are not fully understood.

Purpose of the Study:

  • To identify and validate differentially expressed genes (DEGs) in synovial macrophages from RA patients.
  • To uncover candidate genes and molecular mechanisms associated with RA pathogenesis.

Main Methods:

  • Utilized Gene Expression Omnibus (GEO) datasets (GSE97779, GSE10500) for microarray analysis of RA synovial macrophages.
  • Performed Gene Ontology (GO) and KEGG pathway enrichment analysis on DEGs.
  • Constructed a protein-protein interaction (PPI) network to identify hub genes using STRING and CytoHubba.

Main Results:

  • Identified 2638 DEGs in GSE97779 and 889 DEGs in GSE10500.
  • Found 173 upregulated and 106 downregulated genes common to both datasets.
  • Identified 10 top hub genes, including FN1, VEGFA, HGF, and MMP9, via PPI network analysis.

Conclusions:

  • The study highlights potential biomarkers and molecular mechanisms in RA.
  • The 10 identified candidate genes warrant further investigation for RA diagnosis, prognosis, and therapeutic applications.
  • Further research is needed to confirm gene expression in RA synovial macrophages.
Keywords:
bioinformatics analysiskey genespathwaysrheumatoid arthritissynovitis macrophages

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