Literature DB >> 21364522

Determinants of interferon β efficacy in patients with multiple sclerosis.

Joep Killestein1, Chris H Polman.   

Abstract

Many patients with multiple sclerosis (MS) experience clinical relapses or progression of disability, or exhibit evidence of disease activity on MRI, despite the use of disease-modifying therapy. Although evidence clearly supports the efficacy of interferon β (IFN-β) in treating MS, the factors that determine the response to this drug in individual patients have not been fully elucidated. As more treatment options become available, the early identification of factors that can affect or predict the efficacy of agents in individual patients is important, because such knowledge facilitates early switching of treatment. Despite years of research and numerous reports of promising therapy markers for MS, few markers have emerged as clinically useful. Several studies suggest, however, that development of MRI lesions within 6-24 months after the initiation of IFN-β treatment predicts an unfavorable response. In addition, persistently high titers of neutralizing antibodies diminish or abrogate the therapeutic effects of IFN-β, and help to identify patients who do not respond. This Review highlights advances in research on the response to IFN-β in patients with MS and aims to provide a practical approach for incorporating clinical data, biological markers and MRI measures of disease activity into their therapeutic management.

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Year:  2011        PMID: 21364522     DOI: 10.1038/nrneurol.2011.22

Source DB:  PubMed          Journal:  Nat Rev Neurol        ISSN: 1759-4758            Impact factor:   42.937


  76 in total

1.  Spontaneous MxA mRNA level predicts relapses in patients with recently diagnosed MS.

Authors:  L F van der Voort; A Vennegoor; A Visser; D L Knol; B M J Uitdehaag; F Barkhof; C B M Oudejans; C H Polman; J Killestein
Journal:  Neurology       Date:  2010-10-05       Impact factor: 9.910

2.  Predictors of long-term clinical response to interferon beta therapy in relapsing multiple sclerosis.

Authors:  Valentina Tomassini; Andrea Paolillo; Pierluigi Russo; Elisabetta Giugni; Luca Prosperini; Claudio Gasperini; Guido Antonelli; Stefano Bastianello; Carlo Pozzilli
Journal:  J Neurol       Date:  2005-09-14       Impact factor: 4.849

3.  Defining multiple sclerosis treatment response with magnetic resonance imaging: how much activity is too much?

Authors:  Paul S Giacomini; Douglas L Arnold; Amit Bar-Or; Jack P Antel
Journal:  Arch Neurol       Date:  2009-01

4.  Interferon-beta bioactivity measurement in multiple sclerosis: feasibility for routine clinical practice.

Authors:  L F van der Voort; A Kok; A Visser; C B M Oudejans; M Caldano; F Gilli; A Bertolotto; C H Polman; J Killestein
Journal:  Mult Scler       Date:  2008-09-19       Impact factor: 6.312

5.  Transfer of myxovirus-protein-A mRNA assay for interferon-β bioactivity measurement in multiple sclerosis patients to routine laboratory practice. A 4-year experience.

Authors:  Cinzia Zanotti; Claudia Ghidini; Cinzia Lamorgese; Luigi Caimi; Ruggero Capra; Luisa Imberti
Journal:  Clin Chem Lab Med       Date:  2010-09       Impact factor: 3.694

6.  Defining interferon beta response status in multiple sclerosis patients.

Authors:  Richard A Rudick; Jar-Chi Lee; Jack Simon; Richard M Ransohoff; Elizabeth Fisher
Journal:  Ann Neurol       Date:  2004-10       Impact factor: 10.422

7.  Predictive markers for response to interferon therapy in patients with multiple sclerosis.

Authors:  S Malucchi; F Gilli; M Caldano; F Marnetto; P Valentino; L Granieri; A Sala; M Capobianco; A Bertolotto
Journal:  Neurology       Date:  2008-02-13       Impact factor: 9.910

8.  In vivo bioactivity of interferon-beta in multiple sclerosis patients with neutralising antibodies is titre-dependent.

Authors:  A Sominanda; J Hillert; A Fogdell-Hahn
Journal:  J Neurol Neurosurg Psychiatry       Date:  2007-10-02       Impact factor: 10.154

9.  Multiple sclerosis pharmacogenomics: maximizing efficacy of therapy.

Authors:  Derek J Pappas; Jorge R Oksenberg
Journal:  Neurology       Date:  2010-01-05       Impact factor: 9.910

10.  The distribution of magnetic resonance imaging response to interferonbeta-1b in multiple sclerosis.

Authors:  Maria Pia Sormani; Paolo Bruzzi; Karola Beckmann; Ludwig Kappos; David H Miller; Chris Polman; Carlo Pozzilli; Alan J Thompson; Klaus Wagner; Massimo Filippi
Journal:  J Neurol       Date:  2005-07-18       Impact factor: 4.849

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  30 in total

Review 1.  The genetics of multiple sclerosis: an up-to-date review.

Authors:  Pierre-Antoine Gourraud; Hanne F Harbo; Stephen L Hauser; Sergio E Baranzini
Journal:  Immunol Rev       Date:  2012-07       Impact factor: 12.988

2.  Interferon γ (IFNγ) Signaling via Mechanistic Target of Rapamycin Complex 2 (mTORC2) and Regulatory Effects in the Generation of Type II Interferon Biological Responses.

Authors:  Barbara Kroczynska; Robert L Rafidi; Beata Majchrzak-Kita; Ewa M Kosciuczuk; Gavin T Blyth; Jacek Jemielity; Zofia Warminska; Diana Saleiro; Swarna Mehrotra; Ahmet Dirim Arslan; Eleanor N Fish; Leonidas C Platanias
Journal:  J Biol Chem       Date:  2015-12-08       Impact factor: 5.157

3.  Serum IL-17F does not predict poor response to IM IFNβ-1a in relapsing-remitting MS.

Authors:  S E Bushnell; Z Zhao; C C Stebbins; D Cadavid; A M Buko; E T Whalley; J A Davis; E M Versage; J R Richert; R C Axtell; L Steinman; R Medori
Journal:  Neurology       Date:  2012-05-09       Impact factor: 9.910

4.  Switching therapies in multiple sclerosis.

Authors:  Patricia K Coyle
Journal:  CNS Drugs       Date:  2013-04       Impact factor: 5.749

Review 5.  Drug therapy for multiple sclerosis.

Authors:  Eleonora Tavazzi; Marco Rovaris; Loredana La Mantia
Journal:  CMAJ       Date:  2014-04-22       Impact factor: 8.262

6.  IFN-β Facilitates Neuroantigen-Dependent Induction of CD25+ FOXP3+ Regulatory T Cells That Suppress Experimental Autoimmune Encephalomyelitis.

Authors:  Duncheng Wang; Debjani Ghosh; S M Touhidul Islam; Cody D Moorman; Ashton E Thomason; Daniel S Wilkinson; Mark D Mannie
Journal:  J Immunol       Date:  2016-09-12       Impact factor: 5.422

Review 7.  Poly(ADP-ribose) polymerase-13 and RNA regulation in immunity and cancer.

Authors:  Tanya Todorova; Florian J Bock; Paul Chang
Journal:  Trends Mol Med       Date:  2015-04-04       Impact factor: 11.951

Review 8.  Pharmacogenomics and multiple sclerosis: moving toward individualized medicine.

Authors:  Manuel Comabella; Koen Vandenbroeck
Journal:  Curr Neurol Neurosci Rep       Date:  2011-10       Impact factor: 5.081

9.  Regulatory effects of SKAR in interferon α signaling and its role in the generation of type I IFN responses.

Authors:  Barbara Kroczynska; Swarna Mehrotra; Beata Majchrzak-Kita; Ahmet Dirim Arslan; Jessica K Altman; Brady L Stein; Brandon McMahon; Piotr Kozlowski; Philipp J Kahle; Elizabeth A Eklund; Eleanor N Fish; Leonidas C Platanias
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-21       Impact factor: 11.205

10.  miR-145 and miR20a-5p Potentially Mediate Pleiotropic Effects of Interferon-Beta Through Mitogen-Activated Protein Kinase Signaling Pathway in Multiple Sclerosis Patients.

Authors:  Naeim Ehtesham; Fariborz Khorvash; Majid Kheirollahi
Journal:  J Mol Neurosci       Date:  2016-10-17       Impact factor: 3.444

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