Key Features
Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreThis 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. SOURCE: Michal Mokry (m.mokry@umcutrecht.nl) - Wilhelmina Children's Hospital, University Medical Center Utrecht
View on GEOView in PlutoEnhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.
Learn MoreUse Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.
Read about post-pipeline analysisView quality control data and experiment metadata for this experiment.
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team