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Microarray analysis identifies distinct subpopulations of arthritic mice deficient for interleukin 1 receptor antagonist

ABSTRACT: Rheumatoid arthritis (RA) is a heterogeneous disease with clinical and biological polymorphisms. However, little is known about baseline molecular variations among individual RA patients. The purpose of this study was to address this issue using F2 intercross mice generated from arthritis-prone BALB/c and arthritis-resistant DBA/1 mice deficient for interleukin 1 receptor antagonist (Il1rn). Two distinct subpopulations of arthritic mice were identified in the 38 mice studied. One subgroup of diseased mice was characterized by myeloid cell dominant inflammation, whereas the other was mainly associated with increased anti-apoptotic activities of inflammatory cells. Keywords: disease state analysis

ORGANISM(S): Mus musculus

PROVIDER: GSE8690 | GEO | 2008/07/31

SECONDARY ACCESSION(S): PRJNA101909

REPOSITORIES: GEO

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Project description:Background: Unbiased studies using different genome-wide methods have identified several promising novel biomarkers for diagnosis and treatment response in Rheumatoid Arthritis (RA). However, clinical translation has proven difficult. Here, we hypothesized that one reason could be that inflammatory responses in peripheral blood are different from those in the arthritic joint. Methods: We performed meta-analysis of gene expression microarray data from synovium, whole blood cells (WBC), peripheral blood mononuclear cells (PBMC), and CD4+ T cells from patients with RA and healthy control in order to identify overlapping pathways, predicted upstream regulators and potential biomarkers. We also analyzed single cell RNA-sequencing (scRNA-seq) data from peripheral blood and whole joints from a mouse model of antigen-induced arthritis. Results: Analyses of two profiling data sets from synovium from RA patients and healthy controls all showed significant activation of pathways of known pathogenic relevance, such as Th1 pathway, role of NFAT in regulation of the immune response, dendritic cell maturation, iCOS-iCOSL signaling in T helper cells, Fc? receptor-mediated phagocytosis, interferon signaling, Cdc42 signaling, and cytotoxic T lymphocyte-mediated apoptosis. The most activated upstream regulators included TNF, an important drug target, as well as IFN-gamma and CD40LG, all of which are known to play important pathogenic roles in RA. The differentially expressed genes from synovium included several potential biomarkers, such as CCL5, CCL13, CCL18, CX3CL1, CXCL6, CXCL9, CXCL10, CXCL13, IL15, IL32, IL1RN, SPP1, and TNFSF11. By contrast, microarray studies of WBC, PBMC and CD4 + T cells showed variable pathways and limited pathway overlap with synovium. Similarly, scRNA-seq data from a mouse model of arthritis did not support that inflammatory responses in peripheral blood reflect those in the arthritic joints. These data showed pathway overlap between mouse joint cells and synovium from patients with RA, but not with cells in peripheral blood. Conclusions: Our findings indicate a dichotomy between gene expression changes, pathways, upstream regulators and biomarkers in synovium and cell types in peripheral blood, which complicates identification of biomarkers in blood.

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Microarray analysis identifies distinct subpopulations of arthritic mice deficient for interleukin 1 receptor antagonist

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