Gene expression patterns in peripheral blood cells associated with radiographic severity in African Americans with early rheumatoid arthritis.

Academic Article

Abstract

  • Gene expression profiling may be used to stratify patients by disease severity to test the hypothesis that variable disease outcome has a genetic component. In order to define unique expression signatures in African American rheumatoid arthritis (RA) patients with severe erosive disease, we undertook a gene expression study using samples of RNA from peripheral blood mononuclear cells (PBMCs). RNA from baseline PBMC samples of 96 African American RA patients with early RA (<2 years disease duration) was hybridized to cDNA probes of the Illumina Human HT-V3 expression array. Expression analyses were performed using the ca. 25,000 cDNA probes, and then expression levels were compared to the total number of erosions in radiographs of the hands and feet at baseline and 36 months. Using a false discovery rate cutoff of Q = 0.30, 1,138 genes at baseline and 680 genes at 36 months significantly correlated with total erosions. No evidence of a signal differentiating disease progression, or change in erosion scores between baseline and 36 months, was found. Further analyses demonstrated that the differential gene expression signature was localized to the patients with the most erosive disease (>10 erosions). Ingenuity Pathway Analysis demonstrated that genes with fold change greater than 1.5 implicated immune pathways such as CTLA signaling in cytotoxic T lymphocytes. These results demonstrate that CLEAR patients with early RA having the most severe erosive disease, as compared to more mild cases (<10 erosions), may be characterized by a set of differentially expressed genes that represent biological pathways with relevance to autoimmune disease.
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    Keywords

  • African Americans, Alabama, Arthritis, Rheumatoid, Arthrography, Female, Gene Expression Profiling, Gene Expression Regulation, Humans, Joints, Leukocytes, Mononuclear, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Registries, Severity of Illness Index
  • Digital Object Identifier (doi)

    Author List

  • Reynolds RJ; Cui X; Vaughan LK; Redden DT; Causey Z; Perkins E; Shah T; Hughes LB; CLEAR Investigators; Damle A
  • Start Page

  • 129
  • End Page

  • 137
  • Volume

  • 33
  • Issue

  • 1