Literature DB >> 23897407

Defining and scoring response to IFN-β in multiple sclerosis.

Maria Pia Sormani1, Nicola De Stefano.   

Abstract

The advent of a large number of new therapies for multiple sclerosis (MS) warrants the development of tools that enable selection of the best treatment option for each new patient with MS. Evidence from clinical trials clearly supports the efficacy of IFN-β for the treatment of MS, but few factors that predict a response to this drug in individual patients have emerged. This deficit might be due, at least in part, to the lack of a standardized definition of the clinical outcomes that signify improvement or worsening of the disease. MRI markers and clinical relapses have been the most widely studied short-term factors to predict long-term response to IFN-β, although the results are conflicting. Recently, integrated strategies combining MRI and clinical markers in scoring systems have provided a potentially useful approach for the management of patients with MS. In this Review, we focus on the many definitions of clinical response to IFN-β and explore the markers that can be used to predict this response. We also highlight advantages and limitations of the existing scoring systems in light of future expansion of these models to biological markers and to other classes of emerging therapies for MS.

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Year:  2013        PMID: 23897407     DOI: 10.1038/nrneurol.2013.146

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


  70 in total

1.  MRI metrics as surrogate markers for clinical relapse rate in relapsing-remitting MS patients.

Authors:  Maria Pia Sormani; Paolo Bruzzi; Giancarlo Comi; Massimo Filippi
Journal:  Neurology       Date:  2002-02-12       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.  Scoring treatment response in patients with relapsing multiple sclerosis.

Authors:  M P Sormani; J Rio; M Tintorè; A Signori; D Li; P Cornelisse; B Stubinski; M l Stromillo; X Montalban; N De Stefano
Journal:  Mult Scler       Date:  2012-09-25       Impact factor: 6.312

4.  Combined MRI lesions and relapses as a surrogate for disability in multiple sclerosis.

Authors:  M P Sormani; D K Li; P Bruzzi; B Stubinski; P Cornelisse; S Rocak; N De Stefano
Journal:  Neurology       Date:  2011-10-05       Impact factor: 9.910

5.  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

6.  Predictors of long-term outcome in multiple sclerosis patients treated with interferon β.

Authors:  Robert A Bermel; Xiaojun You; Pamela Foulds; Robert Hyde; Jack H Simon; Elizabeth Fisher; Richard A Rudick
Journal:  Ann Neurol       Date:  2013-01       Impact factor: 10.422

Review 7.  Treatment optimization in MS: Canadian MS Working Group updated recommendations.

Authors:  Mark S Freedman; Daniel Selchen; Douglas L Arnold; Alexandre Prat; Brenda Banwell; Michael Yeung; David Morgenthau; Yves Lapierre
Journal:  Can J Neurol Sci       Date:  2013-05       Impact factor: 2.104

8.  Interleukin 17F level and interferon β response in patients with multiple sclerosis.

Authors:  Hans-Peter Hartung; Lawrence Steinman; Douglas S Goodin; Giancarlo Comi; Stuart Cook; Massimo Filippi; Paul O'Connor; Douglas R Jeffery; Ludwig Kappos; Robert Axtell; Volker Knappertz; Timon Bogumil; Susanne Schwenke; Ed Croze; Rupert Sandbrink; Christopher Pohl
Journal:  JAMA Neurol       Date:  2013-08       Impact factor: 18.302

9.  Serial gadolinium enhanced magnetic resonance imaging in multiple sclerosis.

Authors:  D H Miller; P Rudge; G Johnson; B E Kendall; D G Macmanus; I F Moseley; D Barnes; W I McDonald
Journal:  Brain       Date:  1988-08       Impact factor: 13.501

10.  Can a physician predict the clinical response to first-line immunomodulatory treatment in relapsing-remitting multiple sclerosis?

Authors:  Zsolt Mezei; Daniel Bereczki; Lilla Racz; Laszlo Csiba; Tünde Csepany
Journal:  Neuropsychiatr Dis Treat       Date:  2012-10-23       Impact factor: 2.570

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  39 in total

Review 1.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients.

Authors:  Mike P Wattjes; Àlex Rovira; David Miller; Tarek A Yousry; Maria P Sormani; Maria P de Stefano; Mar Tintoré; Cristina Auger; Carmen Tur; Massimo Filippi; Maria A Rocca; Franz Fazekas; Ludwig Kappos; Chris Polman
Journal:  Nat Rev Neurol       Date:  2015-09-15       Impact factor: 42.937

2.  Towards the implementation of 'no evidence of disease activity' in multiple sclerosis treatment: the multiple sclerosis decision model.

Authors:  Martin Stangel; Iris Katharina Penner; Boris A Kallmann; Carsten Lukas; Bernd C Kieseier
Journal:  Ther Adv Neurol Disord       Date:  2015-01       Impact factor: 6.570

Review 3.  Preventing disability in inflammatory bowel disease.

Authors:  Patrick B Allen; Corinne Gower-Rousseau; Silvio Danese; Laurent Peyrin-Biroulet
Journal:  Therap Adv Gastroenterol       Date:  2017-10-16       Impact factor: 4.409

4.  Improved Automatic Detection of New T2 Lesions in Multiple Sclerosis Using Deformation Fields.

Authors:  M Cabezas; J F Corral; A Oliver; Y Díez; M Tintoré; C Auger; X Montalban; X Lladó; D Pareto; À Rovira
Journal:  AJNR Am J Neuroradiol       Date:  2016-06-09       Impact factor: 3.825

Review 5.  Magnetic Resonance Imaging as a Major Milestone in Multiple Sclerosis Diagnosis and Treatment.

Authors:  Rana Karabudak
Journal:  Noro Psikiyatr Ars       Date:  2015-12-01       Impact factor: 1.339

Review 6.  Body fluid biomarkers in multiple sclerosis: how far we have come and how they could affect the clinic now and in the future.

Authors:  Itay Raphael; Johanna Webb; Olaf Stuve; William Haskins; Thomas Forsthuber
Journal:  Expert Rev Clin Immunol       Date:  2014-12-18       Impact factor: 4.473

Review 7.  Therapeutic Targets for Multiple Sclerosis: Current Treatment Goals and Future Directions.

Authors:  Andrew L Smith; Jeffrey A Cohen; Le H Hua
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

8.  Assessing the Metabolomic Profile of Multiple Sclerosis Patients Treated with Interferon Beta 1a by 1H-NMR Spectroscopy.

Authors:  Lorena Lorefice; Federica Murgia; Giuseppe Fenu; Jessica Frau; Giancarlo Coghe; Maria Rita Murru; Stefania Tranquilli; Andrea Visconti; Maria Giovanna Marrosu; Luigi Atzori; Eleonora Cocco
Journal:  Neurotherapeutics       Date:  2019-07       Impact factor: 7.620

Review 9.  IL-27-induced modulation of autoimmunity and its therapeutic potential.

Authors:  Rakeshchandra R Meka; Shivaprasad H Venkatesha; Steven Dudics; Bodhraj Acharya; Kamal D Moudgil
Journal:  Autoimmun Rev       Date:  2015-08-05       Impact factor: 9.754

10.  Response to interferon-beta treatment in multiple sclerosis patients: a genome-wide association study.

Authors:  S Mahurkar; M Moldovan; V Suppiah; M Sorosina; F Clarelli; G Liberatore; S Malhotra; X Montalban; A Antigüedad; M Krupa; V G Jokubaitis; F C McKay; P N Gatt; M J Fabis-Pedrini; V Martinelli; G Comi; J Lechner-Scott; A G Kermode; M Slee; B V Taylor; K Vandenbroeck; M Comabella; F M Boneschi; C King
Journal:  Pharmacogenomics J       Date:  2016-03-22       Impact factor: 3.550

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