Canakinumab treatment in hyperimmunoglobulinemia D with periodic fever syndrome
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE97075 | GEO | 2018/09/17
REPOSITORIES: GEO
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Project description:Background: Blocking the action of the pro-inflammatory cytokine interleukin-1 (IL-1) reduces beta-cell secretory dysfunction and apoptosis in vitro, diabetes incidence in animal models of Type 1 diabetes mellitus (T1D), and glycaemia via improved beta-cell function in patients with T2D. We hypothesised that canakinumab, a monoclonal antibody to IL-1B, improves beta-cell function in patients with new-onset T1D. Methods: In an individually randomised, two-group parallel trial involving 12 sites in US, 69 patients aged 6-45 with T1D, < 12 weeks of symptoms, and assigned by centralised computer-generated blocked randomisation with locked computer-file concealment to treatment with 2 mg/kg (maximum 300 mg) canakinumab (n=45) or placebo (n=22) monthly for 12 months as add-on to conventional therapy. Participants and care-givers, but not data monitoring unit, were masked to group assignment. The primary end-point was change in the two-hour area-under-the-curve C-peptide response to MMT 12 months.
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Project description:Periodic fever syndromes (PFSs) are a wide group of autoinflammatory diseases. Due to some clinical overlap between different PFSs, differential diagnosis can be a difficult challenge. Nowadays, there are no universally agreed recommendations for most PFSs, and near half of patients may remain without a genetic diagnosis even after performing multiple-gene analyses. Molecular analysis of periodic fevers' causative genes can improve patient quality of life by providing early and accurate diagnosis and allowing the administration of appropriate treatment. In this paper we focus our discussion on effective usefulness of genetic diagnosis of PFSs. The aim of this paper is to establish how much can the diagnostic system improve, in order to increase the success of PFS diagnosis. The mayor expectation in the near future will be addressed to the so-called next generation sequencing approach. Although the application of bioinformatics to high-throughput genetic analysis could allow the identification of complex genotypes, the complexity of this definition will hardly result in a clear contribution for the physician. In our opinion, however, to obtain the best from this new development a rule should always be kept well in mind: use genetics only to answer specific clinical questions.
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Project description:Canakinumab is a human anti-interleukin-1 beta (IL-1 beta) monoclonal antibody neutralizing IL-1 beta. Systemic juvenile idiopathic arthritis (SJIA) is a rare, multigenic, autoinflammatory disease of unknown etiology characterized by chronic arthritis; intermittent high-spiking fever, rash, and elevated levels of acute-phase reactants. Blood samples of SJIA patients were obtained from two phase 3 clinical trials conducted by the members of the Pediatric Rheumatology International Trials Organization (PRINTO) and the Pediatric Rheumatology Collaborative Study Group (PRCSG) (Clinicaltrials.gov: NCT00886769 and NCT00889863). For patients, baseline and day 3 samples were analyzed for either placebo or canakinumab (Ilaris) treatment. Clinical response was assessed at day 15 using adapted JIA American College of Rheumatology (ACR) response criteria. Overall, 206 samples were used in this study including 22 samples from healthy controls, 33 samples of placebo treated patients and 151 samples of canakinumab treated patients.
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Project description:Nonsteroidal anti-inflammatory drugs (NSAIDs) has been suggested as adjunctive anti-tumor agents in human and veterinary medicine. However, its anti-tumor molecular machinery is still controversial. Therefore, we performed whole transcriptome analysis to discover gene expression influenced by NSAIDs treatment. A canine melanoma cell line (Mi/CMM1) was treated by three NSAIDs, piroxicam, carprofen, and robenacoxib, at their half maximal (50%) inhibitory concentrations (116 µM, 779 µM, and 156 µM) for 6 hours. Subsequently, total RNA were extracted and microarray analysis was performed to evaluate change in gene expression caused by NSAIDs treatment. Each condition had three biological replicates.
2016-03-09 | E-GEOD-78988 | biostudies-arrayexpress
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