Literature DB >> 24943672

Prediction of response to interferon therapy in multiple sclerosis.

F Sellebjerg1, H B Søndergaard, N Koch-Henriksen, P S Sørensen, A B Oturai.   

Abstract

OBJECTIVE: Single nucleotide polymorphisms (SNPs) in the genes encoding interferon response factor (IRF)-5, IRF-8 and glypican-5 (GPC5) have been associated with disease activity in multiple sclerosis (MS) patients treated with interferon (IFN)-β. We analysed whether SNPs in the IRF5, IRF8 and GPC5 genes are associated with clinical disease activity in MS patients beginning de novo treatment with IFN-β.
METHODS: The SNPs rs2004640, rs3807306 and rs4728142 in IRF5, rs13333054 and rs17445836 in IRF8 and rs10492503 in GPC5 were genotyped in 575 patients with relapsing-remitting MS followed prospectively after the initiation of their first treatment with IFN-β.
RESULTS: 62% of patients experienced relapses during the first 2 years of treatment, and 32% had disability progression during the first 5 years of treatment. Patients with a pretreatment annualized relapse rate >1 had an increased risk of relapse (hazard ratio 1.53, 95% confidence interval 1.24-1.90) and progression (hazard ratio 1.48, 95% confidence interval 1.10-1.99) on treatment and patients with breakthrough relapses in the form of relapses during the first 2 years of treatment had an increased risk of progression during the first 5 years of treatment (hazard ratio 2.04, 95% confidence interval 1.47-2.85).The gene variants in IRF5, IRF8 and GPC5 were not associated with risk of relapse or disease progression.
CONCLUSIONS: Pretreatment relapse rate and clinical disease activity during the first 2 years of treatment may be associated with disease progression in MS patients treated with IFN-β. Genetic analysis of the studied gene variants do not provide additional information.
© 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  interferon-beta; multiple sclerosis; pharmacogenetics; treatment response

Mesh:

Substances:

Year:  2014        PMID: 24943672     DOI: 10.1111/ane.12269

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  5 in total

1.  Multiple sclerosis: A clinically useful genetic variant in multiple sclerosis?

Authors:  Finn Sellebjerg; Annette Bang Oturai
Journal:  Nat Rev Neurol       Date:  2015-06-16       Impact factor: 42.937

Review 2.  Pharmacogenomics of Multiple Sclerosis: A Systematic Review.

Authors:  Keli Hočevar; Smiljana Ristić; Borut Peterlin
Journal:  Front Neurol       Date:  2019-02-26       Impact factor: 4.003

3.  Cerebrospinal fluid inflammatory biomarkers predicting interferon-beta response in MS patients.

Authors:  Mario Stampanoni Bassi; Jelena Drulovic; Tatjana Pekmezovic; Ennio Iezzi; Francesco Sica; Luana Gilio; Antonietta Gentile; Alessandra Musella; Georgia Mandolesi; Roberto Furlan; Annamaria Finardi; Girolama Alessandra Marfia; Paolo Bellantonio; Roberta Fantozzi; Diego Centonze; Fabio Buttari
Journal:  Ther Adv Neurol Disord       Date:  2020-12-08       Impact factor: 6.570

4.  A multi-biomarker follow-up study of patients with multiple sclerosis.

Authors:  Morten Stilund; Mikkel Carstensen Gjelstrup; Tove Christensen; Holger Jon Møller; Thor Petersen
Journal:  Brain Behav       Date:  2016-07-11       Impact factor: 2.708

Review 5.  The Danish Multiple Sclerosis Treatment Register.

Authors:  Melinda Magyari; Nils Koch-Henriksen; Per Soelberg Sørensen
Journal:  Clin Epidemiol       Date:  2016-10-25       Impact factor: 4.790

  5 in total

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