Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA101841 | ENA |
REPOSITORIES: ENA
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Project description:Anakinra in Systemic-onset Juvenile Idiopathic Arthritis
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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).
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Project description:Systemic Juvenile Idiopathic Arthritis (sJIA) has been strongly associated with macrophage activation syndrome (MAS). To better understand the pathogenesid of sJIA and to facilitate the search for MAS biomarkers, we examine gene expression profiles in untreated new onset sJIA. 17 new onset sJIA patients were included in the study. 5 of the 17 patients showed evidence of subclinical MAS and 2 eventually developed overt MAS. Keywords: disease versus control Peripheral blood mononuclear cells (PBMCs) were separated using a Ficoll gradient from the 17 new onset sJIA patients and 30 normal control. RNA was extracted from the PBMCS and subsequently hybridized to Affymetrix microarrays
2007-11-01 | E-GEOD-7753 | biostudies-arrayexpress
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:We performed a DIA-MS proteomic analysis of sera from systemic juvenile idiopathic arthritis with different activity phases using a high protein depletion process. We profiled the proteins in the sera that differed significantly in their activity phase.
2022-04-26 | PXD030413 | JPOST Repository
Project description:Comaprison of PBMCs from patients with systemic juvenile idiopathic arthritis during active and inactive disease
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Project description:Biomarker identification for diagnosis of systemic juvenile idiopathic arthritis (SJIA), an auto-inflammatory disease that presents with prolonged fevers. Disease vs. healthy control
2015-09-03 | E-GEOD-57183 | biostudies-arrayexpress
Project description:Biomarker identification for diagnosis of systemic juvenile idiopathic arthritis (SJIA), an auto-inflammatory disease that presents with prolonged fevers.
2015-09-03 | GSE57183 | GEO
Project description:Systemic Juvenile Idiopathic Arthritis (sJIA) has been strongly associated with macrophage activation syndrome (MAS). To better understand the pathogenesid of sJIA and to facilitate the search for MAS biomarkers, we examine gene expression profiles in untreated new onset sJIA. 17 new onset sJIA patients were included in the study. 5 of the 17 patients showed evidence of subclinical MAS and 2 eventually developed overt MAS. Keywords: disease versus control
2007-11-01 | GSE7753 | GEO
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