Gene expression of human peripheral blood cells of patients with rheumatoid arthritis [dataset 2]
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ABSTRACT: Factors responsible for radiographic severity of rheumatoid arthritis (RA) in African-Americans are poorly understood. We sought to examine genes whose expression in peripheral blood mononuclear cells (PBMCs) is associated with radiographic severity of RA.
Project description:Factors responsible for radiographic severity of rheumatoid arthritis (RA) in African-Americans are poorly understood. We sought to examine genes whose expression in peripheral blood mononuclear cells (PBMCs) is associated with radiographic severity of RA.
Project description:Factors responsible for radiographic severity of rheumatoid arthritis (RA) in African-Americans are poorly understood. We sought to examine genes whose expression in peripheral blood mononuclear cells (PBMCs) is associated with radiographic severity of RA. 20 control samples (from individuals without RA) were compared with 10 early mild, 10 early severe, 10 late mild, and 10 late severe RA samples. All samples were obtained from African-American individuals.
Project description:Factors responsible for radiographic severity of rheumatoid arthritis (RA) in African-Americans are poorly understood. We sought to examine genes whose expression in peripheral blood mononuclear cells (PBMCs) is associated with radiographic severity of RA. 20 control samples (from individuals without RA) were compared with 10 early mild, 10 early severe, 10 late mild, and 10 late severe RA samples. All samples were obtained from African-American individuals.
Project description:Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover key pathomechanisms, we performed whole-genome gene expression analyses. Synovial tissues from rheumatoid arthritis patients were compared to those from osteoarthritis patients and to normal donors. Keywords: disease state analysis
Project description:Objectives: Epigenetics can influence disease susceptibility and severity. While DNA methylation of individual genes has been explored in autoimmunity, no unbiased systematic analyses have been reported. Therefore, a genome-wide evaluation of DNA methylation loci in fibroblast-like synoviocytes (FLS) isolated from the site of disease in rheumatoid arthritis (RA) was performed. Methods: Genomic DNA was isolated from six RA and five osteoarthritis (OA) FLS lines and evaluated using the Illumina HumanMethylation450 chip. Cluster analysis of data was performed and corrected using Benjamini–Hochberg adjustment for multiple comparisons. Methylation was confirmed by pyrosequencing and gene expression was determined by qPCR. Pathway analysis was performed using the Kyoto Encyclopedia of Genes and Genomes. Results: RA and control FLS segregated based on DNA methylation, with 1859 differentially methylated loci. Hypomethylated loci were identified in key genes relevant to RA, such as CHI3L1, CASP1, STAT3, MAP3K5, MEFV and WISP3. Hypermethylation was also observed, including TGFBR2 and FOXO1. Hypomethylation of individual genes was associated with increased gene expression. Grouped analysis identified 207 hypermethylated or hypomethylated genes with multiple differentially methylated loci, including COL1A1, MEFV and TNF. Hypomethylation was increased in multiple pathways related to cell migration, including focal adhesion, cell adhesion, transendothelial migration and extracellular matrix interactions. Confirmatory studies with OA and normal FLS also demonstrated segregation of RA from control FLS based on methylation pattern. Conclusions: Differentially methylated genes could alter FLS gene expression and contribute to the pathogenesis of RA. DNA methylation of critical genes suggests that RA FLS are imprinted and implicate epigenetic contributions to inflammatory arthritis. Fibroblast-like synoviocyte cell-lines from osteoarthritis (OA) and rheumatoid arthritis (RA) patients.
Project description:Rheumatoid arthritis (RA) is a chronic autoinflammatory disorder that affects small joints. Despite intense efforts, there isno definitive marker yet for early diagnosis RA and for monitoring the progression of this disease. We sought to catalog the proteins present in the synovial fluid of patients with rheumatoid arthritis. To identify lower abundance proteins, we undertook two approaches – we depleted the abundant proteins using a multiple affinity removal system (MARS14) column and we enriched glycoproteins using a lectin affinity column. The peptides were analyzed by LC-MS/MS on a high resolution Fourier transform mass spectrometer.
Project description:Mast cells are phenotypically and functionally highly heterogeneous, and their state is possibly controlled by their local microenvironment. Therefore, concrete analyses are needed to understand whether mast cells act as powerful motivators or dispensable bystanders in specific diseases. Here, we evaluated the correlation between synovial mast cells and rheumatoid arthritis (RA) disease severity, and the efficacy of therapeutic interventions against mast cells. We showed that degranulation of mast cells in inflammatory synovial tissues of RA patients was induced via MAS-related G protein-coupled receptor X2 (MRGPRX2), and the expression of MHC class II (MHC II) and costimulatory molecules on mast cells were upregulated. These unique signaling response led to mast cell activation and promoted T cell responses, resulting in the progression of RA. Collagen-induced arthritis mouse models treated with a combination of anti-IL-17A and cromolyn sodium, a mast cell membrane stabilizer, showed significantly reduced clinical severity and decreased bone erosion. The findings of the present study suggest that synovial microenvironment-influenced mast cells contribute to RA and may provide a novel mast cell-targeting therapy for RA.
Project description:Rheumatoid arthritis (RA) is a complex and clinically heterogeneous autoimmune disease. Microarray analysis of 83 synovial samples provides insight into the expression-level differences between patients at the site of disease activity. Synovial samples from Rheumatoid Arthritis patients were obtained during joint resection and profiled using microarrays.
Project description:The transcriptome of PBMC from rheumatoid arthritis patient hasn't been compenhensively profiled, and heterogeneous characteristics of blood monocytes in RA patients are much unknown. We performed the single cell transcriptomic analysis of PBMC from rheumatoid arthritis (RA) patient, and monocyte populations were extracted during the analysis. CD127 expression associated expression pattern of inflammatory genes was identified in RA patient's blood monocytes.
Project description:Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic destructive arthritis. Although helper T cells are involved in the pathogenesis of RA, the characteristics of synovium-infiltrating CD4+ T cells are still largely unknown. In this study, we investigated synovium-infiltrating helper T cells of rheumatoid arthritis patients