Identification of novel genes associated with dysregulation of B cells in patients with primary Sjögren's syndrome

Arthritis Res Ther. 2020 Jun 22;22(1):153. doi: 10.1186/s13075-020-02248-2.

Abstract

Background: The aim of this study was to identify the molecular mechanism of dysregulation of B cell subpopulations of primary Sjögren's syndrome (pSS) at the transcriptome level.

Methods: We enrolled patients with pSS (n = 6) and healthy controls (HCs) (n = 6) in the discovery cohort using microarray and pSS (n = 14) and HCs (n = 12) in the validation cohort using quantitative PCR (qPCR). Peripheral B cells acquired from these subjects were separated by cell sorting into four subsets: CD38-IgD+ (Bm1), CD38+IgD+ (naive B cells), CD38highIgD+ (pre-germinal centre B cells) and CD38±IgD- (memory B cells). We performed differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA).

Results: Expression of the long non-coding RNA LINC00487 was significantly upregulated in all B cell subsets, as was that of HLA and interferon (IFN) signature genes. Moreover, the normalized intensity value of LINC00487 significantly correlated with the disease activity score of all pSS B cell subsets. Studies of human B cell lines revealed that the expression of LINC00487 was strongly induced by IFNα. WGCNA revealed six gene clusters associated with the B cell subpopulation of pSS. Further, SOX4 was identified as an inter-module hub gene.

Conclusion: Our transcriptome analysis revealed key genes involved in the dysregulation of B cell subpopulations associated with pSS.

Trial registration: Not required.

Keywords: B cells; Gene co-expression network; Long non-coding RNA; Primary Sjögren’s syndrome; Transcriptome.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • B-Lymphocyte Subsets*
  • B-Lymphocytes
  • Gene Expression Profiling
  • Germinal Center
  • Humans
  • SOXC Transcription Factors
  • Sjogren's Syndrome* / genetics

Substances

  • SOX4 protein, human
  • SOXC Transcription Factors