Literature DB >> 17463072

Interferon beta-1a slows progression of brain atrophy in relapsing-remitting multiple sclerosis predominantly by reducing gray matter atrophy.

R Zivadinov1, L Locatelli, D Cookfair, B Srinivasaraghavan, A Bertolotto, M Ukmar, A Bratina, C Maggiore, A Bosco, A Grop, M Catalan, M Zorzon.   

Abstract

BACKGROUND: Brain atrophy, as assessed by magnetic resonance imaging (MRI), has been correlated with disability in patients with multiple sclerosis (MS). Recent evidence indicates that both white matter (WM) and gray matter (GM) are subject to atrophy in patients with MS. Although neurological deficiencies in MS are primarily due to loss of WM, the clinical significance of GM atrophy has not been fully explored in MS.
METHODS: We have undertaken a three-year, open-label study, comparing 26 patients who elected to receive intramuscular interferon beta-1a (IFN beta-1a) therapy, with 28 patients who elected not to receive therapy. Both groups had quantitative cranial MRI scans at study entry and after three years, and standardized clinical assessments every six months. Brain parenchymal fraction (BPF), GM fraction (GMF), and WM fraction (WMF) percent changes were calculated, and T2- and T1-lesion volumes (LVs) assessed.
RESULTS: After three years, mean percent (%) change in BPF favored the IFN beta-1a treatment group (IFN beta-1a -1.3% versus the control group -2.5%, P=0.009), as did the mean percent change in GMF (+0.2 versus -1.4%, P=0.014), and the mean percent change in T1-LV (-9.3 versus +91.6%, P=0.011). At the end of the study, there was a significant within-patient decrease in BPF for both groups (P=0.02 for the IFN beta-1a treatment group, and P<0.001 for the control group), a significant within-patient decrease in WMF for the IFN beta-1a treatment group (P=0.01), and a significant decrease in GMF for the control group (P=0.013) when compared with baseline.
CONCLUSION: Over a three-year period, treatment with IFN beta-1a significantly slowed the progression of whole-brain and GM atrophy, and of T1-hypointense LV accumulation, when compared with the control group.

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Year:  2007        PMID: 17463072     DOI: 10.1177/1352458506070446

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  26 in total

1.  Nurses' perspective on approaches to limit flu-like symptoms during interferon therapy for multiple sclerosis.

Authors:  Mary L Filipi; Jill Beavin; Raquel T Brillante; Kathleen Costello; Gail C Hartley; Kay Hartley; Marie Namey; Shirley O'Leary; Gina Remington
Journal:  Int J MS Care       Date:  2014

Review 2.  MRI in multiple sclerosis: what's inside the toolbox?

Authors:  Mohit Neema; James Stankiewicz; Ashish Arora; Zachary D Guss; Rohit Bakshi
Journal:  Neurotherapeutics       Date:  2007-10       Impact factor: 7.620

Review 3.  Treating relapsing-remitting multiple sclerosis: therapy effects on brain atrophy.

Authors:  Angela Vidal-Jordana; Jaume Sastre-Garriga; Alex Rovira; Xavier Montalban
Journal:  J Neurol       Date:  2015-06-05       Impact factor: 4.849

Review 4.  Neuroimaging in multiple sclerosis: neurotherapeutic implications.

Authors:  Nancy L Sicotte
Journal:  Neurotherapeutics       Date:  2011-01       Impact factor: 7.620

Review 5.  Defining Disease Activity and Response to Therapy in MS.

Authors:  Ulrike W Kaunzner; Mais Al-Kawaz; Susan A Gauthier
Journal:  Curr Treat Options Neurol       Date:  2017-05       Impact factor: 3.598

6.  CLADA: cortical longitudinal atrophy detection algorithm.

Authors:  Kunio Nakamura; Robert Fox; Elizabeth Fisher
Journal:  Neuroimage       Date:  2010-07-30       Impact factor: 6.556

Review 7.  The mechanism of action of interferon-β in relapsing multiple sclerosis.

Authors:  Bernd C Kieseier
Journal:  CNS Drugs       Date:  2011-06-01       Impact factor: 5.749

8.  The effect of daclizumab on brain atrophy in relapsing-remitting multiple sclerosis.

Authors:  Isabela T Borges; Colin D Shea; Joan Ohayon; Blake C Jones; Roger D Stone; John Ostuni; Navid Shiee; Henry McFarland; Bibiana Bielekova; Daniel S Reich
Journal:  Mult Scler Relat Disord       Date:  2013-04-01       Impact factor: 4.339

9.  Sample size requirements for treatment effects using gray matter, white matter and whole brain volume in relapsing-remitting multiple sclerosis.

Authors:  B Healy; P Valsasina; M Filippi; R Bakshi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2009-02-09       Impact factor: 10.154

Review 10.  Impact of Pharmacotherapy on Cognitive Dysfunction in Patients with Multiple Sclerosis.

Authors:  Shumita Roy; Ralph H B Benedict; Allison S Drake; Bianca Weinstock-Guttman
Journal:  CNS Drugs       Date:  2016-03       Impact factor: 5.749

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