E-GEOD-103170
Ontology highlight
ABSTRACT:
PROVIDER: E-GEOD-103170 | ExpressionAtlas | 2019-04-05
REPOSITORIES: ExpressionAtlas
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| E-GEOD-103170-analysis-methods.tsv | Tabular | |||
| E-GEOD-103170-analytics.tsv | Tabular | |||
| E-GEOD-103170-atlasExperimentSummary.Rdata | Rdata | |||
| E-GEOD-103170-configuration.xml | Xml | |||
| E-GEOD-103170-g1_g2-mvaPlot.png | Other |
Items per page: 5 1 - 5 of 18 |
Similar Datasets
Project description:Neutrophils in systemic onset Juvenile Idiopathic Arthritis display sepsis-like features which can be reverted by IL-1 blockade
| PRJNA400390 | ENA
Project description:This study investigated neutrophils in systemic onset Juvenile Idiopathic Arthritis (sJIA), one of the most common multifactorial autoinflammatory diseases, characterized by arthritis and severe systemic inflammatory manifestations like fever, rash, hepatosplenomegaly and serositis. Neutrophil counts were markedly increased at disease onset, correlated to levels of inflammatory mediators and normalized within days after initiation of therapy with recombinant IL-1 receptor antagonist (rIL-1RA). Neutrophils isolated from 3 sJIA patients with active disease, before initiation of therapy (2 disease onset, 1 systemic flare) and 3 healthy controls were compared. A clear separation between the transcriptome of sJIA patients and HCs was observed. In total, 1068 genes were significantly upregulated and 625 genes were downregulated in sJIA; GO-analyses indicated upregulation of inflammatory processes in sJIA neutrophils compared to HCs. GSEA analyses revealed a significant enrichment with the transcriptome of neutrophils in sepsis patients. Correspondingly, neutrophils from sJIA patients during active disease displayed a primed phenotype characterized by an increased respiratory burst, CD62L shedding and degranulation of secretory vesicles. This phenotype was completely reversed in sJIA patients in remission on rIL-1RA. Our data show an important role for neutrophils in the early inflammatory phase of sJIA and a strong susceptibility of neutrophil numbers and inflammatory activity to IL-1 signaling blockade.
2018-02-12 | GSE103170 | GEO
Project description:A multidimensional blood stimulation assay reveals immune alterations underlying systemic juvenile idiopathic arthritis [RNA-Seq]
2019-07-24 | E-GEOD-103501 | ExpressionAtlas
Project description:Remission in Polyarticular Juvenile Idiopathic Arthritis
2025-01-24 | E-GEOD-15645 | ExpressionAtlas
Project description:Systemic onset Juvenile Idiopathic Arthritis (SoJIA) represents up to 20% of Juvenile Idiopathic Arthritis (JIA). We have previously reported that this disease is Interleukin 1 (IL1)-mediated, and that IL-1 blockade results in clinical remission in the majority of patients. The diagnosis of SoJIA, however, still relies on clinical findings as no specific diagnostic tests are available, which leads to delays in the initiation of specific therapy. To identify specific diagnostic markers, we analyzed gene expression profiles in 19 pediatric patients with SoJIA during the systemic phase of the disease (fever and/or arthritis), 25 SoJIA patients with no systemic symptoms (arthritis only or no symptoms), 39 healthy controls, 94 pediatric patients with acute viral and bacterial infections (available under GSE6269), 38 pediatric patients with Systemic Lupus Erythematosus (SLE), and 6 patients with a second IL-1 mediated disease known as PAPA syndrome. Statistical group comparison and class prediction identified genes differentially expressed in SoJIA patients compared to healthy children. These genes, however, were also changed in patients with acute infections and SLE. By performing an analysis of significance across all diagnostic groups, we generated a list of 88 SoJIA-specific genes (p<0.01 in SoJIA and >0.5 in all other groups). A subset of 12/88 genes permitted us to accurately classify an independent test set of SoJIA patients with systemic disease. We were also able to identify a group of transcripts that changed significantly in patients undergoing IL-1 blockade. Thus, analysis of transcriptional signatures from SoJIA blood leukocytes can help distinguishing this disease from other febrile illnesses and assessing response to therapy. Availability of accurate diagnostic markers for SoJIA patients may allow prompt initiation of effective therapy and prevention of long-term disabilities. Keywords: Disease state analysis 123 RNA samples extracted from PBMCs were studied. For more details on the clinical information, please refer to the paper (PudMed ID...).
2007-09-01 | E-GEOD-8650 | biostudies-arrayexpress
Project description:Anakinra in Systemic-onset Juvenile Idiopathic Arthritis
| PRJNA118495 | ENA
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:Remission in Juvenile Idiopathic Arthritis Achieved on Different Drug Regimens
2025-01-24 | E-GEOD-41831 | ExpressionAtlas
Project description:Systemic onset Juvenile Idiopathic Arthritis (SoJIA) represents up to 20% of Juvenile Idiopathic Arthritis (JIA). We have previously reported that this disease is Interleukin 1 (IL1)-mediated, and that IL-1 blockade results in clinical remission in the majority of patients. The diagnosis of SoJIA, however, still relies on clinical findings as no specific diagnostic tests are available, which leads to delays in the initiation of specific therapy. To identify specific diagnostic markers, we analyzed gene expression profiles in 19 pediatric patients with SoJIA during the systemic phase of the disease (fever and/or arthritis), 25 SoJIA patients with no systemic symptoms (arthritis only or no symptoms), 39 healthy controls, 94 pediatric patients with acute viral and bacterial infections (available under GSE6269), 38 pediatric patients with Systemic Lupus Erythematosus (SLE), and 6 patients with a second IL-1 mediated disease known as PAPA syndrome. Statistical group comparison and class prediction identified genes differentially expressed in SoJIA patients compared to healthy children. These genes, however, were also changed in patients with acute infections and SLE. By performing an analysis of significance across all diagnostic groups, we generated a list of 88 SoJIA-specific genes (p<0.01 in SoJIA and >0.5 in all other groups). A subset of 12/88 genes permitted us to accurately classify an independent test set of SoJIA patients with systemic disease. We were also able to identify a group of transcripts that changed significantly in patients undergoing IL-1 blockade. Thus, analysis of transcriptional signatures from SoJIA blood leukocytes can help distinguishing this disease from other febrile illnesses and assessing response to therapy. Availability of accurate diagnostic markers for SoJIA patients may allow prompt initiation of effective therapy and prevention of long-term disabilities. Keywords: Disease state analysis
2007-09-01 | GSE8650 | GEO
Project description:Gene expression data of whole blood of systemic juvenile idiopathic arthritis (SJIA) patients treated with canakinumab or placebo and age matched healthy controls
2025-01-24 | E-GEOD-80060 | ExpressionAtlas