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Microarray-based gene expression profiling in patients with cryopyrin-associated periodic syndromes defines a disease-related signature and IL-1-responsive transcripts.

ABSTRACT: To analyse gene expression patterns and to define a specific gene expression signature in patients with the severe end of the spectrum of cryopyrin-associated periodic syndromes (CAPS). The molecular consequences of interleukin 1 inhibition were examined by comparing gene expression patterns in 16 CAPS patients before and after treatment with anakinra. Many DEG include transcripts related to the regulation of innate and adaptive immune responses, oxidative stress, cell death, cell adhesion and motility. A set of gene expression-based models comprising the CAPS-specific gene expression signature correctly classified all 17 samples from an independent dataset. This classifier also correctly identified 15 of 16 post-anakinra CAPS samples despite the fact that these CAPS patients were in clinical remission. We identified a gene expression signature that clearly distinguished CAPS patients from controls. A number of DEG were in common with other systemic inflammatory diseases such as systemic onset juvenile idiopathic arthritis. The CAPS-specific gene expression classifiers also suggest incomplete suppression of inflammation at low doses of anakinra.

ORGANISM(S): Homo sapiens

PROVIDER: GSE43553 | GEO | 2013/01/16

SECONDARY ACCESSION(S): PRJNA186687

REPOSITORIES: GEO

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Project description:Background: Systemic-Onset Juvenile Idiopathic Arthritis (SJIA) is a rare disease associated with dysregulated interleukin (IL)-1 activity. Objectives: To assess the efficacy and safety of Anakinra, an IL-1 receptor antagonist in SJIA and its effects on gene expression profiling. Methods: We conducted a multicenter, randomized, double-blind placebo-controlled trial. The primary objective was to compare the efficacy of a one-month treatment with anakinra (2 mg/kg subcutaneoulsy daily, maximum 100 mg) to a placebo between 2 groups of 12 SJIA patients each. Response was defined by a 30% improvement of the pediatric American College of Rheumatology criteria for JIA, resolution of systemic symptoms and a decrease of at least 50% of both C-reactive protein and erythrocyte sedimentation rate compared to baseline. An intention-to-treat analyze was performed. After Month 1 (M1), patients taking placebo were switched to Anakinra. Secondary objectives included tolerance and efficacy assessment for 12 months. Results: At M1, concluding the randomized trial, there was a significant difference in the response rate between patients treated with Anakinra (8/12 responders) and placebo (1/12) (p=0.003). The number of adverse events, mainly pain to injections, was similar between both groups. Ten patients from the placebo group switched to Anakinra at M1; nine were responders at M2. Between M1 and M12, six patients stopped treatment for an adverse event (Crohn’s disease, hepatitis), a lack of efficacy or a disease flare (2 cases each). Blood gene expression profiling at enrollment and upon follow-up allowed us to identify one set of dysregulated genes that reverted to normal values in the clinical responders and a second set, including interferon-inducible genes, that was induced by Anakinra. Conclusion: Anakinra is an effective treatment of SJIA. Its effect is associated with normalization of blood gene expression profiles in clinical responders and de novo induction of an interferon signature. (Clinical trials registration number: NCT00339157)

Project description:Introduction: Diagnosis of severe influenza pneumonia remains challenging because of the lack of correlation between presence of influenza virus and patient’s clinical status. We conducted gene expression profiling in the whole blood of critically ill patients to identify a gene signature that would allow clinicians to distinguish influenza infection from other causes of severe respiratory failure (e.g. bacterial pneumonia, non-infective systemic inflammatory response syndrome). Methods: Whole blood samples were collected from critically ill individuals and assayed on Illumina HT-12 gene expression beadarrays. Differentially expressed genes were determined by linear mixed model analysis and over-represented biological pathways determined using GeneGo MetaCore. Results: The gene expression profile of H1N1 influenza A pneumonia was distinctly different from bacterial pneumonia and systemic inflammatory response syndrome. The influenza gene expression profile is characterized by up-regulation of genes from cell cycle regulation, apoptosis and DNA-damage response pathways. In contrast, no distinctive gene-expression signature was found in patients with bacterial pneumonia or systemic inflammatory response syndrome. The gene expression profile of influenza infection persisted through five days of follow-up. Furthermore, in patients with primary H1N1 influenza A infection who subsequently developed bacterial co-infection, the influenza gene-expression signature remained unaltered, despite the presence of a super-imposed bacterial infection. Conclusions: The whole blood expression profiling data indicates that the host response to influenza pneumonia is distinctly different from that caused by bacterial pathogens. This information may speed up identification of the cause of infection in patients presenting with severe respiratory failure, allowing appropriate patient care to be undertaken more rapidly. Daily PAXgene samples for up to 5 days for; influenza A pneumonia patients (n=8), bacterial pneumonia patients (n=16), mixed bacterial and influenza A pneumonia patients (n=3), systemic inflammatory response patients (SIRS, n=13). Days 1 and 5 PAXgene samples for healthy control individuals

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Microarray-based gene expression profiling in patients with cryopyrin-associated periodic syndromes defines a disease-related signature and IL-1-responsive transcripts.

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