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Pharmacogenomics of IFNb therapy

ABSTRACT: This experiment set is used for the manuscript entitled: Pharmacogenomics of Interferon-b therapy in multiple sclerosis: Baseline IFN signature determines pharmacological differences between patients. In this study we generated and analyzed pre- and post- IFNb treatment gene expression patterns of RRMS patients with the aim of identifying pre-existing and/or drug-induced signatures that will allow us to make predictions on the expected pharmacological effects of IFNb treatment. We show that the expression level of IFN response genes prior to treatment, determines the pharmacological differences between patients with MS at the molecular level. A group of 16 Dutch patients (10 females and 6 males) with clinically definite relapsing-remitting MS was recruited from the outpatient clinic of the MS Centre Amsterdam. Mean age at start of IFNb therapy is 40.6 +/- 7.7, mean EDSS is 2.3 +/- 1.3 (range 1-6). Blood samples were obtained just before treatment and 1 month after start of the therapy. Patients received Avonex, Betaferon, Rebif 22 or Rebif 44. A compound treatment design type is where the response to administration of a compound or chemical (including biological compounds such as hormones) is assayed. Compound Based Treatment: Before and 1 month after IFNb therapy Keywords: compound_treatment_design

ORGANISM(S): Homo sapiens

PROVIDER: GSE10655 | GEO | 2008/04/01

SECONDARY ACCESSION(S): PRJNA107739

REPOSITORIES: GEO

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Project description:IFNb has been used as a first line therapy for relapsing remitting multiple sclerosis (RRMS). Since only a few studies have addressed the role of endogenous IFNb in the pathogenesis of the disease, our objective was to characterize its role in the transcriptional regulation of pathogenic Th17 cytokines in patients with RRMS. In-vitro studies have demonstrated that IFNb inhibited IL-17A, IL-17F, IL-21, IL-22 and IFN-b secretion in CD4+ lymphocytes through the induction of suppressor of cytokine secretion (SOCS)1 and 3. We found that patients with RRMS have increased serum and cerebrospinal fluid (CSF) Th17 (IL-17A and IL-17F) cytokine levels in comparison to the control subjects, suggesting that deficient endogenous IFNbeta secretion and/or signaling may contribute to the dysregulation of those pathogenic cytokines in CD4+ cells. We identified that the endogenous IFNb from serum of RRMS patients induced a significantly lower IFN-inducible gene expression in comparison to healthy controls (HCs). In addition, in-vitro studies have revealed a deficient endogenous and exogenous IFNb signaling in CD4+ cells derived from MS patients. Interestingly, upon inhibition of the endogenous IFNb signaling by silencing interferon regulatory factor (IRF)7 gene expression, the resting CD4+ T cells secreted significantly higher level of IL-17A, IL-17F, IL-21, IL-22 and IL-9, suggesting that endogenous IFNb suppresses the secretion of these pathogenic cytokines. In-vivo recombinant IFNb-1a treatment induced IFNAR1 and its downstream signaling moleculesM-bM-^@M-^Y gene expression, suggesting that treatment may reconstitute a deficient endogenous IFNbeta regulation of the CD4+ T-cellsM-bM-^@M-^Y pathogenic cytokine production in MS patients. Gene expression changes induced by IFNM-NM-2M-bM-^HM-^R1a were tested using Affymetrix Human Genome U133 (HG-U133) arrays (Affymetrix) that contain 45,000 probe sets representing 39,000 transcripts derived from approximately 33,000 human genes. 107 PBMCs per condition derived from 15 CIS patients were stimulated with plate-immobilized M-NM-1CD3 (1 M-NM-<g/ml) and M-NM-1CD28 (5 M-NM-<g/ml) mAb (BD Biosciences) in the absence or presence of IFNM-NM-2-1a (1000 U/ml) (EMD Serono Inc) for 24 h in serum-free medium (Gibco). Cells were harvested and the total RNA was isolated using a Rneasy kit (Quiagen). Arrays were hybridized for 16 hours at 45oC in the GeneChipM-BM-. Hybridization Oven 640 (Affymetrix). The arrays were washed and stained with R-phycoerythrin streptavidin in the GeneChipM-BM-. Fluidics Station 400 (Affymetrix). The arrays were scanned with a Hewlett Packard GeneArray Scanner. Affymetrix GeneChipM-BM-. Microarray Suite 5.0 software was used for washing, scanning and basic analysis.

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Pharmacogenomics of IFNb therapy

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