Whole Blood Transcriptome Profiling in Juvenile Idiopathic Arthritis and Inflammatory Bowel Disease
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE112057 | GEO | 2018/05/29
REPOSITORIES: GEO
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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: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:Children with oligoarticular JIA (arthritis in 4 or fewer joints) can either continue to have this mild form of arthritis (persistent oligoarticular JIA) or extend to a more sever form involving more than 4 joints (extended oligoarticular JIA) Synovial fluid mononuclear cell RNA was prepared from 21 recently diagnosed pre-treatment patients and grouped according to whether the patient had extended or persisted at one year after diagnosis
2009-03-04 | GSE15083 | GEO
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: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:Children with oligoarticular JIA (arthritis in 4 or fewer joints) can either continue to have this mild form of arthritis (persistent oligoarticular JIA) or extend to a more sever form involving more than 4 joints (extended oligoarticular JIA) Synovial fluid mononuclear cell RNA was prepared from 21 recently diagnosed pre-treatment patients and grouped according to whether the patient had extended or persisted at one year after diagnosis Each sample was hybridized to Affymetrix HGU133plus2 microarrays. The mean for each probeset was compared between groups in order to find differentially expressed genes whose expression might predict outcome in a prospective study
2009-03-04 | E-GEOD-15083 | biostudies-arrayexpress
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.
2010-07-30 | E-GEOD-21521 | biostudies-arrayexpress
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
2010-06-25 | GSE21521 | GEO