Identification of differentially expressed genes in primary Sjögren's syndrome

J Cell Biochem. 2019 Oct;120(10):17368-17377. doi: 10.1002/jcb.29001. Epub 2019 May 24.

Abstract

Primary Sjögren's syndrome (pSS) is a chronic systemic autoimmune disease that affects exocrine glands. To study the molecular mechanism and identify crucial genes/pathways in pSS pathogenesis, the microarray-based whole-genome gene expression profiles from salivary glands of patients with pSS and non-sicca controls were retrieved. After normalization and subsequent batch effect adjustment, significance analysis of microarrays method was applied to five available datasets, and 379 differentially expressed genes (DEGs) were identified. The 300 upregulated DEGs were enriched in Gene Ontology terms of immune and inflammatory responses, including antigen processing and presentation, interferon-mediated signaling pathway, and chemotaxis. Previously reported pSS-associated genes, including HLA-DRA, TAP2, PRDM1, and IFI16, were found to be significantly upregulated. The downregulated DEGs were enriched in pathways of salivary secretion, carbohydrate digestion and absorption, and starch and sucrose metabolism, implying dysfunction of salivary glands during pathogenesis. Next, a protein-protein interaction network was constructed, and B2M, an upregulated DEG, was shown to be a hub, suggesting its potential involvement in pSS development. In summary, we found the activation of pSS-associated genes in pathogenesis, and provide clues for salivary glands dysfunction. Experimental investigation on the identified DEGs in this study will deepen our understanding on pSS.

Keywords: differentially expressed genes; gene expression microarray; meta-analysis; primary Sjögren's syndrome; salivary glands.

MeSH terms

  • Biomarkers / analysis*
  • Case-Control Studies
  • Gene Expression Profiling
  • Gene Expression Regulation*
  • Humans
  • Meta-Analysis as Topic
  • Prognosis
  • Protein Interaction Maps
  • Salivary Glands / cytology
  • Salivary Glands / metabolism
  • Signal Transduction
  • Sjogren's Syndrome / genetics*
  • Sjogren's Syndrome / pathology*
  • Transcriptome*

Substances

  • Biomarkers