Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA280405 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The polyarticular and oligoarticular forms of juvenile idiopathic arthritis are classified as distinct entities. At the same time, many children who present with an oligoarticular phenotype eventually evolve to a polyarticular disease pattern, suggesting that the phenotypes might share with overlapping molecular mechanisms. Using gene expression microarrays, we found that 14 genes in neutrophils and 55 genes in PBMC shows common patterns of differential expression when children with active oligoarticular and polyarticular JIA were compared with healthy controls. These results demonstrate that there are commonalities between oligoarticular and polyarticular JIA that suggest overlapping immune mechanisms.
2015-04-07 | GSE67596 | GEO
Project description:The polyarticular and oligoarticular forms of juvenile idiopathic arthritis are classified as distinct entities. At the same time, many children who present with an oligoarticular phenotype eventually evolve to a polyarticular disease pattern, suggesting that the phenotypes might share with overlapping molecular mechanisms. Using gene expression microarrays, we found that 14 genes in neutrophils and 55 genes in PBMC shows common patterns of differential expression when children with active oligoarticular and polyarticular JIA were compared with healthy controls. These results demonstrate that there are commonalities between oligoarticular and polyarticular JIA that suggest overlapping immune mechanisms. Total RNA was extracted from isolated PBMC and neutrophils from 14 patients with polyarticular JIA and 8 patients with pauciarticular JIA. Total RNA was extracted from neutrophils from 13 healthy controls and from PBMC from 15 healthy controls. Insufficient RNA for microarrays was obtained from neutrophils from two of the healthy controls.
2015-04-07 | E-GEOD-67596 | biostudies-arrayexpress
Project description:Remission in Polyarticular Juvenile Idiopathic Arthritis
| PRJNA116659 | ENA
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®.
2011-02-14 | E-GEOD-20307 | biostudies-arrayexpress
Project description:Identify biomarkers to predict response to therapy in polyarticular juvenile idiopathic arthritis (JIA) using gene expression microarrays.
2009-04-13 | GSE15645 | GEO
Project description:The aim was to characterize the proteomic alterations in synovial fibroblasts from patients with juvenile idiopathic arthritis, with or without prior priming with inflamed synovial fluid. Synovial fibroblasts were isolated from the synovial fluid of patients with oligoarticular juvenile idiopathic arthritis via passaging. For the experiment, they were primed or not with a pool of 20% of pooled synovial fluid from patients for 48hrs.
2026-04-13 | PXD041459 | Pride
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.
2011-02-14 | GSE20307 | GEO
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).
2010-08-21 | GSE17755 | GEO
Project description:Identify biomarkers to predict response to therapy in polyarticular juvenile idiopathic arthritis (JIA) using gene expression microarrays. 42 samples from 13 controls, 14 active patients, 9 patients in clinical remission with medication (CRM), and 6 patients in clinical remission without medication (CR). All patients had polyarticular JIA.
2009-04-13 | E-GEOD-15645 | biostudies-arrayexpress
Project description:Remission has become both the gold standard for clinical care and the end point for clinical trials for children with juvenile idiopathic arthritis (JIA). Using gene expression microarrays, we found that when remission induced by methotrexate (MTX) or MTX plus a TNF inhibitor (etanercept, Et) (MTX+Et) was compared with healthy controls, there were notable differences in gene expression patterns, demonstrating that remission is not a restoration of immunologic normalcy. Differences were detected in PBMC as well as in granulocytes. Total RNA was extracted from isolated PBMC and granulocytes from patients with polyarticular JIA and from healthy controls. Patients had achieved remission (clinical remission on medicine as defined by Wallace et al, Arthritis Rheum. 2005;52(11):3354-3562) using either MTX or MTX+Et.
2013-10-24 | E-GEOD-41831 | biostudies-arrayexpress