Project description:Total RNA from peripheral blood mononuclear cells (PBMC) and neutrophils from children with juvenile dermatomyositis (JDM) and juvenile idiopathic arthritis (JIA) were separately compared to pediatric control samples. Keywords: pediatric rheumatic disease, blood, PBMC, neutrophil, JIA, JDM
Project description:Total RNA from peripheral blood mononuclear cells (PBMC) and neutrophils from children with juvenile dermatomyositis (JDM) and juvenile idiopathic arthritis (JIA) were separately compared to pediatric control samples. Keywords: pediatric rheumatic disease, blood, PBMC, neutrophil, JIA, JDM JIA PBMC n = 14 JIA neutrophils n=14 JDM PBMC n = 13 JDM neutrophils n = 14 pediatric control PBMC n = 15 pediatric control neutrophils n = 13
Project description:Gene expression on peripheral blood mononuclear cells (PBMC) from SPARKS CHARMS juvenile idiopathic arthritis (JIA) cohort pre and post methotrexate therapy. This is the first study to our knowledge, to evaluate gene expression profiles in children with JIA before and after MTX, and to analyze genetic variation in differentially expressed genes. We have identified a gene, which may contribute to genetic variability in MTX response in JIA.
Project description:Gene expression on peripheral blood mononuclear cells (PBMC) from SPARKS CHARMS juvenile idiopathic arthritis (JIA) cohort pre and post methotrexate therapy. This is the first study to our knowledge, to evaluate gene expression profiles in children with JIA before and after MTX, and to analyze genetic variation in differentially expressed genes. We have identified a gene, which may contribute to genetic variability in MTX response in JIA. PBMC were isolated from blood samples taken from 11 patients with JIA pre methotrexate therapy and at 6 months into therapy
Project description:Objective. To identify gene expression differences in peripheral blood from patients with early and late onset juvenile idiopathic arthritis (JIA). Methods. Peripheral blood mononuclear cells (PBMC) were isolated from 56 healthy controls and 104 patients with recent onset JIA (39 persistent oligoarticular, 45 RF-polyarticular, and 20 systemic). Poly(A) RNA was amplified and labeled using NuGEN Ovation, and gene expression assessed with Affymetrix HG-U133 Plus 2.0 GeneChips®. Results. A total of 832 probe sets revealed gene expression differences (false-discovery rate 5%) in PBMC from children with oligoarticular JIA whose disease began before 6 years of age (age at onset [AaO] <6; early onset), compared to subjects whose disease began at 6 years of age or later (AaO ?6; late onset). In early onset patients there was greater expression of genes related to B-cells, and lesser expression of genes related to cells of the myeloid lineage. Support Vector Machine algorithms identified samples from early or late onset oligoarticular (97% accuracy) or polyarticular (89% accuracy) JIA patients, but not systemic JIA patients or healthy controls. Principal component analysis showed that the major classifier of samples was AaO regardless of whether they had oligoarticular or polyarticular JIA. Conclusion. PBMC gene expression analysis reveals biologic differences between early and late onset JIA patients independent of classification based on the number of joints involved. These data suggest AaO may be an important parameter to consider in JIA classification. Furthermore, different pathologic mechanisms may influence AaO, and understanding these processes may lead to improved treatment of JIA. Methods. Peripheral blood mononuclear cells (PBMC) were isolated from 56 healthy controls and 104 patients with recent onset JIA (39 persistent oligoarticular, 45 RF-polyarticular, and 20 systemic). Poly(A) RNA was amplified and labeled using NuGEN Ovation, and gene expression assessed with Affymetrix HG-U133 Plus 2.0 GeneChips®.
Project description:This project involves proteome characterization of healthy monocytes polarized (activated) with synovial fluid (SF) versus serum from patients with juvenile idiopathic arthritis (JIA). The objective is to investigate the influence of SF on monocytes at the proteome level, using serum polarized monocytes as a control. Monocytes were isolated from peripheral blood mononuclear cells of healthy donors following negative selection and were subsequently polarized overnight with 20% of a pool of either serum or SF. They were subsequently detached and used for proteome analysis.
Project description:Objective. Previous observations suggest that active systemic juvenile idiopathic arthritis (sJIA) is associated with a prominent erythropoiesis gene expression signature. The aim of this study was to determine the association of this signature with peripheral blood mononuclear cell (PBMC) subpopulations and its specificity for sJIA as compared to related conditions. 125 patients with JIA (18 sJIA and 107 non-sJIA) and 29 controls were studied. PBMC were isolated and analyzed for multiple surface antigens by flow cytometry and for gene expression profiles. The proportions of different PBMC subpopulations were compared among sJIA, non-sJIA patients and controls and subsequently correlated with the strength of the erythropoiesis signature. Additional gene expression data from patients with familial hemophagocytic lymphohistiocytosis (FHLH) and from a published sJIA cohort were analyzed to determine if the erythropoiesis signature was present. Keywords: Patient Vs Control, reassassment of phenotype Peripheral blood samples were obtained from 29 healthy children and 125 children with JIA . RNA was purified from Ficoll-isolated mononuclear cells, fluorescently labeled and then hybridized to Affymetrix U133 Plus 2.0 GeneChips. Data were analyzed using ANOVA at a 5% false discovery rate threshold after Robust Multi-Array Average pre-processing and Distance Weighted Discrimination normalization.
Project description:Gene expression profiling of peripheral blood cells from patients with rheumatoid arthritis (RA)/ systemic lupus erythematosus (SLE)/ polyarticular type juvenile idiopathic arthritis (polyJIA)/ systemic-onset JIA (sJIA) vs healthy children (HC) and healthy individual (HI).
Project description:Objective. Microarray analysis was used to determine whether children with recent onset polyarticular juvenile idiopathic arthritis (JIA) exhibit biologically or clinically informative gene expression signatures in peripheral blood mononuclear cells (PBMC). Methods. Peripheral blood samples were obtained from 59 healthy children and 61 children with polyarticular JIA prior to treatment with second-line medications, such as methotrexate or biological agents. RNA was purified from Ficoll-isolated mononuclear cells, fluorescently labeled and then hybridized to Affymetrix U133 Plus 2.0 GeneChips. Data were analyzed using ANOVA at a 5% false discovery rate threshold after Robust Multi-Array Average pre-processing and Distance Weighted Discrimination normalization. Results. Initial analysis revealed 873 probe sets for genes that were differentially expressed between polyarticular JIA and controls. Hierarchical clustering of these probe sets distinguished three subgroups within polyarticular JIA. Prototypical subjects within each subgroup were identified and used to define subgroup-specific gene expression signatures. One of these signatures was associated with monocyte markers, another with transforming growth factor-beta-inducible genes, and a third with immediate-early genes. Correlation of these gene expression signatures with clinical and biological features of JIA subgroups suggests direct relevance to aspects of disease activity and supports the division of polyarticular JIA into distinct subsets. Conclusions. PBMC gene expression signatures in recent onset polyarticular JIA reflect discrete disease processes and offer a molecular classification of disease. Keywords: Patient vs. control, reassessment of phenotype PBMC samples were obtained from 59 healthy children and 61 children with polyarticular JIA prior to treatment with second-line medications, such as methotrexate or biological agents. RNA was purified from Ficoll-isolated mononuclear cells, fluorescently labeled and then hybridized to Affymetrix U133 Plus 2.0 GeneChips. Data were analyzed using ANOVA at a 5% false discovery rate threshold after Robust Multi-Array Average pre-processing and Distance Weighted Discrimination normalization.