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Ghione E, Bergsland N, Dwyer MG, Hagemeier J, Jakimovski D, Paunkoski I, Ramasamy DP, Silva D, Carl E, Hojnacki D, Kolb C, Weinstock-Guttman B, Zivadinov R. Brain Atrophy Is Associated with Disability Progression in Patients with MS followed in a Clinical Routine. AJNR Am J Neuroradiol 2018; 39:2237-2242. [PMID: 30467212 DOI: 10.3174/ajnr.a5876] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Accepted: 09/08/2018] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND PURPOSE The assessment of brain atrophy in a clinical routine is not performed routinely in multiple sclerosis. Our aim was to determine the feasibility of brain atrophy measurement and its association with disability progression in patients with MS followed in a clinical routine for 5 years. MATERIALS AND METHODS A total of 1815 subjects, 1514 with MS and 137 with clinically isolated syndrome and 164 healthy individuals, were collected retrospectively. Of 11,794 MR imaging brain scans included in the analysis, 8423 MRIs were performed on a 3T, and 3371 MRIs, on a 1.5T scanner. All patients underwent 3D T1WI and T2-FLAIR examinations at all time points of the study. Whole-brain volume changes were measured by percentage brain volume change/normalized brain volume change using SIENA/SIENAX on 3D T1WI and percentage lateral ventricle volume change using NeuroSTREAM on T2-FLAIR. RESULTS Percentage brain volume change failed in 36.7% of the subjects; percentage normalized brain volume change, in 19.2%; and percentage lateral ventricle volume change, in 3.3% because of protocol changes, poor scan quality, artifacts, and anatomic variations. Annualized brain volume changes were significantly different between those with MS and healthy individuals for percentage brain volume change (P < .001), percentage normalized brain volume change (P = .002), and percentage lateral ventricle volume change (P = .01). In patients with MS, mixed-effects model analysis showed that disability progression was associated with a 21.9% annualized decrease in percentage brain volume change (P < .001) and normalized brain volume (P = .002) and a 33% increase in lateral ventricle volume (P = .004). CONCLUSIONS All brain volume measures differentiated MS and healthy individuals and were associated with disability progression, but the lateral ventricle volume assessment was the most feasible.
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Affiliation(s)
- E Ghione
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - N Bergsland
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - M G Dwyer
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center.,Center for Biomedical Imaging at Clinical Translational Research Center (M.G.D., R.Z.), State University of New York, Buffalo, New York
| | - J Hagemeier
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Jakimovski
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - I Paunkoski
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D P Ramasamy
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Silva
- Novartis Pharmaceuticals AG (D.S.), Basel, Switzerland
| | - E Carl
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center
| | - D Hojnacki
- Jacobs Comprehensive MS Treatment and Research Center (D.H., C.K., B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - C Kolb
- Jacobs Comprehensive MS Treatment and Research Center (D.H., C.K., B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - B Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center (D.H., C.K., B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - R Zivadinov
- From the Department of Neurology (E.G., N.B., M.G.D., J.H., D.J., I.P., D.P.R., E.C., R.Z.), Buffalo Neuroimaging Analysis Center .,Center for Biomedical Imaging at Clinical Translational Research Center (M.G.D., R.Z.), State University of New York, Buffalo, New York
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52
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Candeliere Merlicco A, Gabaldón Torres L, Villaverde González R, Fernández Romero I, Aparicio Castro E, Lastres Arias MC. Transorbital ultrasonography for measuring optic nerve atrophy in multiple sclerosis. Acta Neurol Scand 2018; 138:388-393. [PMID: 29963693 DOI: 10.1111/ane.12976] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/03/2018] [Indexed: 11/26/2022]
Abstract
OBJECTIVE we aimed to evaluate the utility of transorbital ultrasonography (TOS) in optic nerve assessment and quantification of ON atrophy in MS patients, and to determine whether ON atrophy correlates with the disease duration and disability measured on the Kurtzke Expanded Disability Status Scale (EDSS). MATERIALS AND METHODS Prospective, multicentre, blinded cohort study of 59 patients diagnosed with relapsing-remitting MS and 36 controls. RESULTS When measured with TOS, the diameter of both the right (2.69 ± 0.30 mm in cases; 3.20 ± 0.19 mm in controls, P < .0001) and left (2.71 ± 0.26 mm in cases; 3.24 ± 0.15 mm controls, P < .0001) ON of study patients was smaller than controls. We observed a negative correlation between EDSS and both right (ρ = .524) and left (ρ = .469) ON diameter. We also observed a negative correlation between disease duration and both right (r = .602) and left (r = .538) ON diameter. No difference was observed in the diameter of both ON among patients with a history of optic neuritis (right OND 2.68 ± 0.29 mm; left OND 2.69 ± 0.25 mm) and patients with no history of optic neuritis (right OND 2.70 ± 0.30 mm; left OND 2.73 ± 0.27 mm) (P = .805; P = .651). CONCLUSIONS The thickness of ON measured with TOS is correlated with EDSS and the duration of the disease without being interfered by the previous history of optic neuritis. TOS could be a reliable technique for measuring ON atrophy in MS.
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53
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Jakimovski D, Kolb C, Ramanathan M, Zivadinov R, Weinstock-Guttman B. Interferon β for Multiple Sclerosis. Cold Spring Harb Perspect Med 2018; 8:cshperspect.a032003. [PMID: 29311124 DOI: 10.1101/cshperspect.a032003] [Citation(s) in RCA: 100] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Despite that the availability of new therapeutic options has expanded the multiple sclerosis (MS) disease-modifying therapy arsenal, interferon β (IFN-β) remains an important therapy option in the current decision-making process. This review will summarize the present knowledge of IFN-β mechanism of action, the overall safety, and the short- and long-term efficacy of its use in relapsing remitting MS and clinically isolated syndromes. Data on secondary progressive MS is also provided, although no clear benefit was identified.
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Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York 14203
| | - Channa Kolb
- Jacobs MS Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York 14202
| | - Murali Ramanathan
- Jacobs MS Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York 14202.,Department of Pharmaceutical Sciences, School of Medicine and Biomedical Sciences, State University of New York, Buffalo, New York 14214
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York 14203.,MR Imaging Clinical Translational Research Center, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York 14203
| | - Bianca Weinstock-Guttman
- Jacobs MS Center, Department of Neurology, University at Buffalo, State University of New York, Buffalo, New York 14202
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Lu CQ, Jiao Y, Meng XP, Cai Y, Luan Y, Xu XM, Ju S. Structural change of thalamus in cirrhotic patients with or without minimal hepatic encephalopathy and the relationship between thalamus volume and clinical indexes related to cirrhosis. NEUROIMAGE-CLINICAL 2018; 20:800-807. [PMID: 30268989 PMCID: PMC6169337 DOI: 10.1016/j.nicl.2018.09.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 08/19/2018] [Accepted: 09/16/2018] [Indexed: 12/12/2022]
Abstract
Aberrant brain structural change in cirrhotic patients with or without hepatic encephalopathy is one of the most typical cases in voxel-based morphometry (VBM) studies. However, there exist inconsistent results regarding to the volume change of the thalamus. Furthermore, the relationship between thalamus structural change and cirrhotic symptoms has not yet been fully elucidated. To address these two issues, we repeated two VBM analyses in SPM and FreeSurfer and compared the two measurements with manually measured thalamic volumes. We also correlated the VBM results with clinical indexes related to cirrhosis to further investigate the relationship between thalamic structural change and liver cirrhosis. The inconsistent result of thalamic structural change was successfully reproduced in regard to the volume measurements of SPM and FreeSurfer. The manually measured results demonstrate an increase in the volume of the thalamus in cirrhotic patients compared to healthy controls, which differs from the results of FreeSurfer. The structural change of thalamus closely correlated with the blood biochemical indexes, including albumin levels, blood coagulation time, and AST/ALT ratio. All of these biochemical indexes are closely related to the severity of liver cirrhosis. Beyond all the results, this study also provides a good demonstration of the difference between multiple VBM measurements for clinicians.
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Affiliation(s)
- Chun-Qiang Lu
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Yun Jiao
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Xiang-Pan Meng
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Yu Cai
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Ying Luan
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Xiao-Min Xu
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Shenghong Ju
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
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55
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Harel A, Sperling D, Petracca M, Ntranos A, Katz-Sand I, Krieger S, Lublin F, Wang Z, Liu Y, Inglese M. Brain microstructural injury occurs in patients with RRMS despite 'no evidence of disease activity'. J Neurol Neurosurg Psychiatry 2018; 89:977-982. [PMID: 29549189 DOI: 10.1136/jnnp-2017-317606] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 02/22/2018] [Accepted: 02/26/2018] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The accuracy of 'no evidence of disease activity' (NEDA) in predicting long-term clinical outcome in patients with relapsing remitting multiple sclerosis (RRMS) is unproven, and there is growing evidence that NEDA does not rule out disease worsening. We used diffusion tensor imaging (DTI) to investigate whether ongoing brain microstructural injury occurs in patients with RRMS meeting NEDA criteria. METHODS We performed a retrospective study to identify patients with RRMS visiting our centre over a 3-month period who had undergone prior longitudinal DTI evaluation at our facility spanning ≥2 years. Patients meeting NEDA criteria throughout the evaluation period were included in the NEDA group, and those not meeting NEDA criteria were included in an 'evidence of disease activity' (EDA) group. Fractional anisotropy (FA) and mean diffusivity (MD) maps were created, and annual rates of change were calculated. RESULTS We enrolled 85 patients, 39 meeting NEDA criteria. Both NEDA and EDA groups showed longitudinal DTI worsening. Yearly FA decrease was lower in the NEDA group (0.5%, p<0.0001) than in the EDA group (1.2%, p=0.003), while yearly MD increase was similar in both groups (0.8% for NEDA and EDA, both p<0.01). There was no statistical difference in deterioration within and outside of T2 lesions. DTI parameters correlated with disability scores and fatigue complaints. CONCLUSIONS White matter microstructural deterioration occurs in patients with RRMS over short-term follow-up in patients with NEDA, providing further evidence of the limitations of conventional measures and arguing for DTI in monitoring of the disease process.
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Affiliation(s)
- Asaff Harel
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Neurology, Lenox Hill Hospital, New York, USA
| | - Dylan Sperling
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Maria Petracca
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Achillefs Ntranos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ilana Katz-Sand
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stephen Krieger
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Fred Lublin
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Zichen Wang
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Yangbo Liu
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Matilde Inglese
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Departmentof Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Perinatal Sciences, University of Genoa andIRCCS Azienda Ospedale Università San Martino-IST, Genoa, Italy
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56
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Knier B, Schmidt P, Aly L, Buck D, Berthele A, Mühlau M, Zimmer C, Hemmer B, Korn T. Retinal inner nuclear layer volume reflects response to immunotherapy in multiple sclerosis. Brain 2018; 139:2855-2863. [PMID: 27581073 DOI: 10.1093/brain/aww219] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 07/13/2016] [Indexed: 12/22/2022] Open
Affiliation(s)
- Benjamin Knier
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany.,Department of Experimental Neuroimmunology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Paul Schmidt
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany.,Department of Statistics, Ludwig-Maximilians-Universität München, Ludwigstr. 33, 80539 Munich, Germany
| | - Lilian Aly
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany.,Department of Experimental Neuroimmunology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Dorothea Buck
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Achim Berthele
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany
| | - Claus Zimmer
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany
| | - Thomas Korn
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany.,Department of Experimental Neuroimmunology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany
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Magnetic resonance imaging evidence of hippocampal structural changes in patients with primary biliary cholangitis. Clin Transl Gastroenterol 2018; 9:169. [PMID: 29977030 PMCID: PMC6033882 DOI: 10.1038/s41424-018-0038-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 05/11/2018] [Accepted: 06/07/2018] [Indexed: 12/13/2022] Open
Abstract
Introduction Behavioral symptoms are commonly reported by patients with primary biliary cholangitis (PBC). In other patient populations, symptoms are commonly associated with hippocampal volume reduction linked to neuroinflammation (inferred from regional iron deposition), as demonstrated by magnetic resonance imaging (MRI). We hypothesized that PBC patients would exhibit reduced volume and increased iron deposition of the hippocampus. Methods Seventeen female non-cirrhotic PBC patients and 17 age/gender-matched controls underwent 3-Tesla T1-weighted MRI and quantitative susceptibility mapping (QSM; an indicator of iron deposition). The hippocampus and its subfields were segmented from T1 images using Freesurfer, and susceptibility of the whole hippocampus was calculated from QSM images. Volume and susceptibility were compared between groups, and associations with PBC-40 score and disease indicators (years since diagnosis, Fibroscan value, alkaline phosphatase level, clinical response to ursodeoxycholic acid (UDCA)) were investigated. Results PBC patients exhibited significantly reduced hippocampal volume (p = 0.023) and increased susceptibility (p = 0.048). Subfield volumes were reduced for the subiculum, molecular layer, granule cell layer of the dentate gyrus and CA4 (p < 0.05). Fibroscan value was significantly correlated with PBC-40 (Spearman’s rho = 0.499; p = 0.041) and disease duration (Spearman’s rho = 0.568; p = 0.017). Discussion Our findings suggest hippocampal changes occur early in the disease course of PBC, similar in magnitude to those observed in major depressive disorder and neurodegenerative diseases. Translational impact Clinical management of PBC could include early interventional strategies that promote hippocampal neurogenesis that may beneficially impact behavioral symptoms and improve quality of life.
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58
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Mazaika PK, Aye T, Reiss AL, Buckingham BA. Large Changes in Brain Volume Observed in an Asymptomatic Young Child With Type 1 Diabetes. Diabetes Care 2018; 41:1535-1537. [PMID: 29934482 PMCID: PMC6014537 DOI: 10.2337/dc17-2503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 03/27/2018] [Indexed: 02/03/2023]
Affiliation(s)
- Paul K Mazaika
- Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
| | - Tandy Aye
- Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA.,Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, CA
| | - Allan L Reiss
- Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA.,Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, CA.,Department of Radiology, Stanford University School of Medicine, Stanford, CA
| | - Bruce A Buckingham
- Division of Pediatric Endocrinology, Stanford University School of Medicine, Stanford, CA
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Gafson AR, Kim K, Cencioni MT, van Hecke W, Nicholas R, Baranzini SE, Matthews PM. Mononuclear cell transcriptome changes associated with dimethyl fumarate in MS. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2018; 5:e470. [PMID: 30283812 PMCID: PMC6168332 DOI: 10.1212/nxi.0000000000000470] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 04/23/2018] [Indexed: 01/28/2023]
Abstract
Objective To identify short-term changes in gene expression in peripheral blood mononuclear cells (PBMCs) associated with treatment response to dimethyl fumarate (DMF, Tecfidera) in patients with relapsing-remitting MS (RRMS). Methods Blood samples were collected from 24 patients with RRMS (median Expanded Disability Status Scale score, 2.0; range 1–7) at baseline, 6 weeks, and 15 months after the initiation of treatment with DMF (BG-12; Tecfidera). Seven healthy controls were also recruited, and blood samples were collected over the same time intervals. PBMCs were extracted from blood samples and sequenced using next-generation RNA sequencing. Treatment responders were defined using the composite outcome measure “no evidence of disease activity” (NEDA-4). Time-course and cross-sectional differential expression analyses were performed to identify transcriptomic markers of treatment response. Results Treatment responders (NEDA-4 positive, 8/24) over the 15-month period had 478 differentially expressed genes (DEGs) 6 weeks after the start of treatment. These were enriched for nuclear factor (erythroid-derived 2)-like 2 (Nrf2) and inhibition of nuclear factor κB (NFκB) pathway transcripts. For patients who showed signs of disease activity, there were no DEGs at 6 weeks relative to their (untreated) baseline. Contrasting transcriptomes expressed at 6 weeks with those at 15 months of treatment, 0 and 1,264 DEGs were found in the responder and nonresponder groups, respectively. Transcripts in the nonresponder group (NEDA-4 negative, 18/24) were enriched for T-cell signaling genes. Conclusion Short-term PBMC transcriptome changes reflecting activation of the Nrf2 and inhibition of NFκB pathways distinguish patients who subsequently show a medium-term treatment response with DMF. Relative stabilization of gene expression patterns may accompany treatment-associated suppression of disease activity.
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Affiliation(s)
- Arie R Gafson
- Division of Brain Sciences (A.R.G., M.T.C., R.N.), Department of Medicine, Imperial College London; the Department of Neurology (K.K.), Weill Institute for Neurosciences, University of California, San Francisco; icometrix (W.v.H.), Begaultlaan, Leuven, Belgium; the Department of Neurology (S.E.B.), Weill Institute for Neurosciences, Institute for Human Genetics and Graduate Program in Bioinformatics, University of California, San Francisco; and Division of Brain Sciences (P.M.M.), Department of Medicine, the Centre for Neurotechnology and the UK Dementia Research Institute, Imperial College London
| | - Kicheol Kim
- Division of Brain Sciences (A.R.G., M.T.C., R.N.), Department of Medicine, Imperial College London; the Department of Neurology (K.K.), Weill Institute for Neurosciences, University of California, San Francisco; icometrix (W.v.H.), Begaultlaan, Leuven, Belgium; the Department of Neurology (S.E.B.), Weill Institute for Neurosciences, Institute for Human Genetics and Graduate Program in Bioinformatics, University of California, San Francisco; and Division of Brain Sciences (P.M.M.), Department of Medicine, the Centre for Neurotechnology and the UK Dementia Research Institute, Imperial College London
| | - Maria T Cencioni
- Division of Brain Sciences (A.R.G., M.T.C., R.N.), Department of Medicine, Imperial College London; the Department of Neurology (K.K.), Weill Institute for Neurosciences, University of California, San Francisco; icometrix (W.v.H.), Begaultlaan, Leuven, Belgium; the Department of Neurology (S.E.B.), Weill Institute for Neurosciences, Institute for Human Genetics and Graduate Program in Bioinformatics, University of California, San Francisco; and Division of Brain Sciences (P.M.M.), Department of Medicine, the Centre for Neurotechnology and the UK Dementia Research Institute, Imperial College London
| | - Wim van Hecke
- Division of Brain Sciences (A.R.G., M.T.C., R.N.), Department of Medicine, Imperial College London; the Department of Neurology (K.K.), Weill Institute for Neurosciences, University of California, San Francisco; icometrix (W.v.H.), Begaultlaan, Leuven, Belgium; the Department of Neurology (S.E.B.), Weill Institute for Neurosciences, Institute for Human Genetics and Graduate Program in Bioinformatics, University of California, San Francisco; and Division of Brain Sciences (P.M.M.), Department of Medicine, the Centre for Neurotechnology and the UK Dementia Research Institute, Imperial College London
| | - Richard Nicholas
- Division of Brain Sciences (A.R.G., M.T.C., R.N.), Department of Medicine, Imperial College London; the Department of Neurology (K.K.), Weill Institute for Neurosciences, University of California, San Francisco; icometrix (W.v.H.), Begaultlaan, Leuven, Belgium; the Department of Neurology (S.E.B.), Weill Institute for Neurosciences, Institute for Human Genetics and Graduate Program in Bioinformatics, University of California, San Francisco; and Division of Brain Sciences (P.M.M.), Department of Medicine, the Centre for Neurotechnology and the UK Dementia Research Institute, Imperial College London
| | - Sergio E Baranzini
- Division of Brain Sciences (A.R.G., M.T.C., R.N.), Department of Medicine, Imperial College London; the Department of Neurology (K.K.), Weill Institute for Neurosciences, University of California, San Francisco; icometrix (W.v.H.), Begaultlaan, Leuven, Belgium; the Department of Neurology (S.E.B.), Weill Institute for Neurosciences, Institute for Human Genetics and Graduate Program in Bioinformatics, University of California, San Francisco; and Division of Brain Sciences (P.M.M.), Department of Medicine, the Centre for Neurotechnology and the UK Dementia Research Institute, Imperial College London
| | - Paul M Matthews
- Division of Brain Sciences (A.R.G., M.T.C., R.N.), Department of Medicine, Imperial College London; the Department of Neurology (K.K.), Weill Institute for Neurosciences, University of California, San Francisco; icometrix (W.v.H.), Begaultlaan, Leuven, Belgium; the Department of Neurology (S.E.B.), Weill Institute for Neurosciences, Institute for Human Genetics and Graduate Program in Bioinformatics, University of California, San Francisco; and Division of Brain Sciences (P.M.M.), Department of Medicine, the Centre for Neurotechnology and the UK Dementia Research Institute, Imperial College London
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Zivadinov R, Medin J, Khan N, Korn JR, Bergsland N, Dwyer MG, Chitnis T, Naismith RT, Alvarez E, Kinkel P, Cohan S, Hunter SF, Silva D, Weinstock-Guttman B. Fingolimod's Impact on MRI Brain Volume Measures in Multiple Sclerosis: Results from MS-MRIUS. J Neuroimaging 2018; 28:399-405. [DOI: 10.1111/jon.12518] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Revised: 04/13/2018] [Accepted: 04/14/2018] [Indexed: 12/16/2022] Open
Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Buffalo, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences; University at Buffalo, The State University of New York; Buffalo NY
- Center for Biomedical Imaging, Clinical Translational Science Institute; University at Buffalo, The State University of New York; Buffalo NY
| | | | | | | | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Buffalo, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences; University at Buffalo, The State University of New York; Buffalo NY
| | - Michael G. Dwyer
- Buffalo Neuroimaging Analysis Center, Buffalo, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences; University at Buffalo, The State University of New York; Buffalo NY
| | - Tanuja Chitnis
- Partners MS Center, Brigham and Women's Hospital; Boston MA
| | | | - Enrique Alvarez
- Department of Neurology; University of Colorado School of Medicine; CO
| | | | | | | | | | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences; University at Buffalo, The State University of New York; Buffalo NY
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Boyko AN, Boyko OV. Cladribine tablets' potential role as a key example of selective immune reconstitution therapy in multiple sclerosis. Degener Neurol Neuromuscul Dis 2018; 8:35-44. [PMID: 30050387 PMCID: PMC6053904 DOI: 10.2147/dnnd.s161450] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Multiple sclerosis (MS) is one of the most important, disabling, and prevalent neurological disorders of young adults. It is a chronic inflammatory and neurodegenerative disease when autoreactive B and T cells have downstream effects that result in demyelination and neuronal loss. Anti-inflammatory disease-modifying therapies do have proven efficacy in delaying disease and disability progression in MS. While the progress in MS treatments has already improved the prognosis and quality of patients’ lives overall, there are some clear shortcomings and unmet needs in the current MS treatment landscape. The most promising means of MS treatment is selective immune reconstitution therapy (SIRT). This therapy is given in short-duration courses of immunosuppression, producing durable effects on the immune system and preventing nervous tissue loss. This review discusses the mechanisms of action and the data of clinical trials of cladribine tablets as an example of SIRT in MS. The clinical benefits of cladribine tablets in these studies include decreased relapse rate and disability progression with large reductions in lesion activity, and protection against brain volume loss. Whether all of these neurological findings are direct results of lymphocyte depletion, or if there are downstream effects on other, unknown, neurodegenerative processes are yet to be determined, but these clearly point to an interesting area of research.
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Affiliation(s)
- Alexey N Boyko
- Pirogov's Russian National Research University, Department of Neurology, Neurosurgery and Medical Genetics, .,Neurological Department, Usupov's Hospital, Moscow, Russia,
| | - Olga V Boyko
- Pirogov's Russian National Research University, Department of Neurology, Neurosurgery and Medical Genetics, .,Neurological Department, Usupov's Hospital, Moscow, Russia,
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62
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Zivadinov R, Bergsland N, Hagemeier J, Carl E, Kolb H, Hojnacki D, Weinstock-Guttman B. Effect of teriflunomide on gray and white matter brain pathology in multiple sclerosis using volumetric and diffusion-tensor imaging MRI measures. J Neurol Sci 2018; 388:175-181. [DOI: 10.1016/j.jns.2018.03.028] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 02/28/2018] [Accepted: 03/15/2018] [Indexed: 01/15/2023]
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Sinnecker T, Granziera C, Wuerfel J, Schlaeger R. Future Brain and Spinal Cord Volumetric Imaging in the Clinic for Monitoring Treatment Response in MS. Curr Treat Options Neurol 2018; 20:17. [PMID: 29679165 DOI: 10.1007/s11940-018-0504-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE OF REVIEW Volumetric analysis of brain imaging has emerged as a standard approach used in clinical research, e.g., in the field of multiple sclerosis (MS), but its application in individual disease course monitoring is still hampered by biological and technical limitations. This review summarizes novel developments in volumetric imaging on the road towards clinical application to eventually monitor treatment response in patients with MS. RECENT FINDINGS In addition to the assessment of whole-brain volume changes, recent work was focused on the volumetry of specific compartments and substructures of the central nervous system (CNS) in MS. This included volumetric imaging of the deep brain structures and of the spinal cord white and gray matter. Volume changes of the latter indeed independently correlate with clinical outcome measures especially in progressive MS. Ultrahigh field MRI and quantitative MRI added to this trend by providing a better visualization of small compartments on highly resolving MR images as well as microstructural information. New developments in volumetric imaging have the potential to improve sensitivity as well as specificity in detecting and hence monitoring disease-related CNS volume changes in MS.
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Affiliation(s)
- Tim Sinnecker
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
- Medical Image Analysis Center Basel AG, Basel, Switzerland
- NeuroCure Clinical Research Center, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center Basel AG, Basel, Switzerland
- NeuroCure Clinical Research Center, Charité Universitätsmedizin Berlin, Berlin, Germany
- Berlin Ultrahigh Field Facility, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Regina Schlaeger
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.
- Translational Imaging in Neurology (ThINK) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.
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64
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Zhong J, Chen DQ, Nantes JC, Holmes SA, Hodaie M, Koski L. Combined structural and functional patterns discriminating upper limb motor disability in multiple sclerosis using multivariate approaches. Brain Imaging Behav 2018; 11:754-768. [PMID: 27146291 DOI: 10.1007/s11682-016-9551-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
A structural or functional pattern of neuroplasticity that could systematically discriminate between people with impaired and preserved motor performance could help us to understand the brain networks contributing to preservation or compensation of behavior in multiple sclerosis (MS). This study aimed to (1) investigate whether a machine learning-based technique could accurately classify MS participants into groups defined by upper extremity function (i.e. motor function preserved (MP) vs. motor function impaired (MI)) based on their regional grey matter measures (GMM, cortical thickness and deep grey matter volume) and inter-regional functional connection (FC), (2) investigate which features (GMM, FC, or GMM + FC) could classify groups more accurately, and (3) identify the multivariate patterns of GMM and FCs that are most discriminative between MP and MI participants, and between each of these groups and the healthy controls (HCs). With 26 MP, 25 MI, and 21 HCs (age and sex matched) underwent T1-weighted and resting-state functional MRI at 3 T, we applied support vector machine (SVM) based classification to learn discriminant functions indicating regions in which GMM or between which FCs were most discriminative between groups. This study demonstrates that there exist structural and FC patterns sufficient for correct classification of upper limb motor ability of people with MS. The classifier with GMM + FC features yielded the highest accuracy of 85.61 % (p < 0.001) to distinguish between the MS groups using leave-one-out cross-validation. It suggests that a machine-learning approach combining structural and functional features is useful for identifying the specific neural substrates that are necessary and sufficient to preserve motor function among people with MS.
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Affiliation(s)
- Jidan Zhong
- Research Institute of the McGill University Health Centre, Montreal, QC, Canada. .,Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada. .,Toronto Western Hospital, 399 Bathurst Street, Toronto, ON, M5T 2S8, Canada.
| | - David Qixiang Chen
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Division of Brain, Imaging and Behaviour-Systems, Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON, Canada
| | - Julia C Nantes
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.,Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Scott A Holmes
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.,Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada
| | - Mojgan Hodaie
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Division of Brain, Imaging and Behaviour-Systems, Neuroscience, Krembil Research Institute, University Health Network, Toronto, ON, Canada.,Division of Neurosurgery, Toronto Western Hospital & University of Toronto, Toronto, ON, Canada
| | - Lisa Koski
- Research Institute of the McGill University Health Centre, Montreal, QC, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.,Department of Psychology, McGill University, Montreal, QC, Canada
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65
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Stickland R, Allen M, Magazzini L, Singh KD, Wise RG, Tomassini V. Neurovascular Coupling During Visual Stimulation in Multiple Sclerosis: A MEG-fMRI Study. Neuroscience 2018; 403:54-69. [PMID: 29580963 PMCID: PMC6458991 DOI: 10.1016/j.neuroscience.2018.03.018] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 03/04/2018] [Accepted: 03/13/2018] [Indexed: 01/23/2023]
Abstract
A reduced electrophysiological response to a visual stimulus in MS, characterized by reduced gamma power (30–80 Hz), with MEG. A reduced hemodynamic response to a visual stimulus in MS, characterized by reduced BOLD and CBF responses, with fMRI. The coupling between gamma power and BOLD/CBF was not significantly impaired in the MS group.
The process of neurovascular coupling ensures that increases in neuronal activity are fed by increases in cerebral blood flow. Evidence suggests that neurovascular coupling may be impaired in Multiple Sclerosis (MS) due to a combination of brain hypoperfusion, altered cerebrovascular reactivity and oxygen metabolism, and altered levels of vasoactive compounds. Here, we tested the hypothesis that neurovascular coupling is impaired in MS. We characterized neurovascular coupling as the relationship between changes in neuronal oscillatory power within the gamma frequency band (30–80 Hz), as measured by magnetoencephalography (MEG), and associated hemodynamic changes (blood oxygenation level dependent, BOLD, and cerebral blood flow, CBF) as measured by functional MRI. We characterized these responses in the visual cortex in 13 MS patients and in 10 matched healthy controls using a reversing checkerboard stimulus at five visual contrasts. There were no significant group differences in visual acuity, P100 latencies, occipital gray matter (GM) volumes and baseline CBF. However, in the MS patients we found a significant reduction in peak gamma power, BOLD and CBF responses. There were no significant differences in neurovascular coupling between groups, in the visual cortex. Our results suggest that neuronal and vascular responses are altered in MS. Gamma power reduction could be an indicator of GM dysfunction, possibly mediated by GABAergic changes. Altered hemodynamic responses confirm previous reports of a vascular dysfunction in MS. Despite altered neuronal and vascular responses, neurovascular coupling appears to be preserved in MS, at least within the range of damage and disability studied here.
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Affiliation(s)
- Rachael Stickland
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University School of Psychology, Maindy Road, Cardiff CF24 4HQ, UK
| | - Marek Allen
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University School of Psychology, Maindy Road, Cardiff CF24 4HQ, UK
| | - Lorenzo Magazzini
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University School of Psychology, Maindy Road, Cardiff CF24 4HQ, UK
| | - Krish D Singh
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University School of Psychology, Maindy Road, Cardiff CF24 4HQ, UK
| | - Richard G Wise
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University School of Psychology, Maindy Road, Cardiff CF24 4HQ, UK
| | - Valentina Tomassini
- Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University School of Psychology, Maindy Road, Cardiff CF24 4HQ, UK; Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, University Hospital Wales, Heath Park, CF14 4XN, UK.
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66
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Warntjes JBM, Tisell A, Håkansson I, Lundberg P, Ernerudh J. Improved Precision of Automatic Brain Volume Measurements in Patients with Clinically Isolated Syndrome and Multiple Sclerosis Using Edema Correction. AJNR Am J Neuroradiol 2018; 39:296-302. [PMID: 29242365 DOI: 10.3174/ajnr.a5476] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Accepted: 10/08/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The presence of edema will result in increased brain volume, which may obscure progressing brain atrophy. Similarly, treatment-induced edema reduction may appear as accelerated brain tissue loss (pseudoatrophy). The purpose of this study was to correlate brain tissue properties to brain volume, to investigate the possibilities for edema correction and the resulting improvement of the precision of automated brain volume measurements. MATERIALS AND METHODS A group of 38 patients with clinically isolated syndrome or newly diagnosed MS were imaged at inclusion and after 1, 2, and 4 years using an MR quantification sequence. Brain volume, relaxation rates (R1 and R2), and proton density were measured by automated software. RESULTS The reduction of normalized brain volume with time after inclusion was 0.273%/year. The mean SDs were 0.508%, 0.526%, 0.454%, and 0.687% at baseline and 1, 2, and 4 years. Linear regression of the relative change of normalized brain volume and the relative change of R1, R2, and proton density showed slopes of -0.198 (P < .001), 0.156 (P = .04), and 0.488 (P < .001), respectively. After we applied the measured proton density as a correction factor, the mean SDs decreased to 24.2%, 4.8%, 33.3%, and 17.4%, respectively. The observed atrophy rate reduced from 0.273%/year to 0.238%/year. CONCLUSIONS Correlations between volume and R1, R2, and proton density were observed in the brain, suggesting that a change of brain tissue properties can affect brain volume. Correction using these parameters decreased the variation of brain volume measurements and may have reduced the effect of pseudoatrophy.
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Affiliation(s)
- J B M Warntjes
- From the Center for Medical Image Science and Visualization (J.B.M.W., A.T., P.L.)
- Division of Cardiovascular Medicine (J.B.M.W.)
- SyntheticMR AB (J.B.M.W.), Linköping, Sweden
| | - A Tisell
- From the Center for Medical Image Science and Visualization (J.B.M.W., A.T., P.L.)
- Radiation Physics (A.T., P.L.), Department of Medical and Health Sciences
| | - I Håkansson
- Department of Neurology (I.H.), Department of Clinical and Experimental Medicine
| | - P Lundberg
- From the Center for Medical Image Science and Visualization (J.B.M.W., A.T., P.L.)
- Radiation Physics (A.T., P.L.), Department of Medical and Health Sciences
| | - J Ernerudh
- Department of Clinical Immunology and Transfusion Medicine (J.E.)
- Department of Clinical and Experimental Medicine (J.E.), Linköping University, Sweden
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67
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The evolution of "No Evidence of Disease Activity" in multiple sclerosis. Mult Scler Relat Disord 2017; 20:231-238. [PMID: 29579629 DOI: 10.1016/j.msard.2017.12.016] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 12/18/2017] [Accepted: 12/21/2017] [Indexed: 12/30/2022]
Abstract
The availability of effective therapies for patients with relapsing-remitting multiple sclerosis (RRMS) has prompted a re-evaluation of the most appropriate way to measure treatment response, both in clinical trials and clinical practice. Traditional parameters of treatment efficacy such as annualized relapse rate, magnetic resonance imaging (MRI) activity, and disability progression have an important place, but their relative merit is uncertain, and the role of other factors such as brain atrophy is still under study. More recently, composite measures such as "no evidence of disease activity" (NEDA) have emerged as new potential treatment targets, but NEDA itself has variable definitions, is not well validated, and may be hard to implement as a treatment goal in a clinical setting. We describe the development of NEDA as an outcome measure in MS, discuss definitions including NEDA-3 and NEDA-4, and review the strengths and limitations of NEDA, indicating where further research is needed.
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68
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Uher T, Vaneckova M, Krasensky J, Sobisek L, Tyblova M, Volna J, Seidl Z, Bergsland N, Dwyer MG, Zivadinov R, De Stefano N, Sormani MP, Havrdova EK, Horakova D. Pathological cut-offs of global and regional brain volume loss in multiple sclerosis. Mult Scler 2017; 25:541-553. [PMID: 29143562 DOI: 10.1177/1352458517742739] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Volumetric MRI surrogate markers of disease progression are lacking. OBJECTIVE To establish cut-off values of brain volume loss able to discriminate between healthy controls and MS patients. METHODS In total, 386 patients after first demyelinating event suggestive of MS (CIS), 964 relapsing-remitting MS (RRMS) patients, 63 secondary-progressive MS (SPMS) patients and 58 healthy controls were included in this longitudinal study. A total of 11,438 MRI scans performed on the same MRI scanner with the same protocol were analysed. Annualised percentage changes of whole brain, grey matter, thalamus and corpus callosum volumes were estimated. We investigated cut-offs able to discriminate between healthy controls and MS patients. RESULTS At a predefined specificity of 90%, the annualised percentage change cut-off of corpus callosum volume (-0.57%) was able to distinguish between healthy controls and patients with the highest sensitivity (51% in CIS, 48% in RRMS and 42% in SPMS patients). Lower sensitivities (22%-49%) were found for cut-offs of whole brain, grey matter and thalamic volume loss. Among CIS and RRMS patients, cut-offs were associated with greater accumulation of disability. CONCLUSION We identified cut-offs of annualised global and regional brain volume loss rates able to discriminate between healthy controls and MS patients.
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Affiliation(s)
- Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiodiagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Jan Krasensky
- Department of Radiodiagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Lukas Sobisek
- Department of Statistics and Probability, University of Economics-Prague, Prague, Czech Republic
| | - Michaela Tyblova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Jana Volna
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Zdenek Seidl
- Department of Radiodiagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA/IRCCS 'S. Maria Nascente', Don Carlo Gnocchi Foundation, Milan, Italy
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA/Translational Imaging Center, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | | | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
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69
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Kotari V, Salha R, Wang D, Wood E, Salvetti M, Ristori G, Tang L, Bagnato F, Ikonomidou VN. Validating Nonlinear Registration to Improve Subtraction Images for Lesion Detection and Quantification in Multiple Sclerosis. J Neuroimaging 2017; 28:70-78. [PMID: 29064129 DOI: 10.1111/jon.12479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 09/21/2017] [Accepted: 09/26/2017] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE To propose and validate nonlinear registration techniques for generating subtraction images because of their ability to reduce artifacts and improve lesion detection and lesion volume quantification. METHODS Postcontrast T1 -weighted spin echo and T2 -weighted dual echo images were acquired for 20 patients with relapsing-remitting multiple sclerosis (RRMS) on a monthly basis for a year (14 women, average age 33.6 ± 6.9). The T2 -weighted images from the first scan were used as a baseline for each patient. The images from the last scan were registered to the baseline image. Four different registration algorithms used for evaluation included; linear, halfway linear, nonlinear, and nonlinear halfway. Subtraction images were generated after brain extraction, intensity normalization, and Gaussian blurring. Lesion activity changes along with identified artifacts were scored on all four techniques by two independent observers. Additionally, quantitative analysis of the algorithms was performed by estimating the volume changes of simulated lesions and real lesions. For real lesion volume change analysis, five subjects were selected randomly. Subtraction images were generated between all the 11 time points and the baseline image using linear and nonlinear registration for the five subjects. RESULTS Lesion activity detection resulted in similar performance among the four registration techniques. Lesion volume measurements on subtraction images using nonlinear registration were closer to lesion volume on T2 -weighted images. A statistically significant difference was observed among the four registration techniques while evaluating yin-yang artifacts. Pairwise comparisons showed that nonlinear registration results in the least amount of yin-yang artifacts, which are significantly different. CONCLUSIONS Nonlinear registration for generation of subtraction images has been demonstrated to be a promising new technique as it shows improvement in lesion activity change detection. This approach decreases the number of artifacts in subtraction images. With improved lesion volume estimates and reduced artifacts, nonlinear registration may lead to discarding less subject data and an improvement in the statistical power of subtraction imaging studies.
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Affiliation(s)
- Vikas Kotari
- Electrical Engineering Department, George Mason University, Fairfax, VA
| | - Racha Salha
- Bioengineering Department, George Mason University, Fairfax, VA
| | - Dana Wang
- Bioengineering Department, George Mason University, Fairfax, VA
| | - Emily Wood
- Electrical Engineering Department, George Mason University, Fairfax, VA
| | - Marco Salvetti
- Centre for Experimental Neurological Therapies (CENTERS), Department of Neurosciences, Mental Health and Sensory Organs, Sapienza University - S. Andrea Hospital, Rome, Italy
| | - Giovanni Ristori
- Centre for Experimental Neurological Therapies (CENTERS), Department of Neurosciences, Mental Health and Sensory Organs, Sapienza University - S. Andrea Hospital, Rome, Italy
| | - Larry Tang
- IRCCS Istituto Neurologico Mediterraneo (INM) Neuromed, 86077, Pozzilli, IS, Italy, (MS).,Department of Statistics, George Mason University, Fairfax, VA
| | - Francesca Bagnato
- Vanderbilt University, Department of Neurology, Multiple Sclerosis Center, Nashville, TN
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Dieleman N, Koek HL, Hendrikse J. Short-term mechanisms influencing volumetric brain dynamics. NEUROIMAGE-CLINICAL 2017; 16:507-513. [PMID: 28971004 PMCID: PMC5609861 DOI: 10.1016/j.nicl.2017.09.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2017] [Revised: 07/28/2017] [Accepted: 09/04/2017] [Indexed: 12/14/2022]
Abstract
With the use of magnetic resonance imaging (MRI) and brain analysis tools, it has become possible to measure brain volume changes up to around 0.5%. Besides long-term brain changes caused by atrophy in aging or neurodegenerative disease, short-term mechanisms that influence brain volume may exist. When we focus on short-term changes of the brain, changes may be either physiological or pathological. As such determining the cause of volumetric dynamics of the brain is essential. Additionally for an accurate interpretation of longitudinal brain volume measures by means of neurodegeneration, knowledge about the short-term changes is needed. Therefore, in this review, we discuss the possible mechanisms influencing brain volumes on a short-term basis and set-out a framework of MRI techniques to be used for volumetric changes as well as the used analysis tools. 3D T1-weighted images are the images of choice when it comes to MRI of brain volume. These images are excellent to determine brain volume and can be used together with an analysis tool to determine the degree of volume change. Mechanisms that decrease global brain volume are: fluid restriction, evening MRI measurements, corticosteroids, antipsychotics and short-term effects of pathological processes like Alzheimer's disease, hypertension and Diabetes mellitus type II. Mechanisms increasing the brain volume include fluid intake, morning MRI measurements, surgical revascularization and probably medications like anti-inflammatory drugs and anti-hypertensive medication. Exercise was found to have no effect on brain volume on a short-term basis, which may imply that dehydration caused by exercise differs from dehydration by fluid restriction. In the upcoming years, attention should be directed towards studies investigating physiological short-term changes within the light of long-term pathological changes. Ultimately this may lead to a better understanding of the physiological short-term effects of pathological processes and may aid in early detection of these diseases. Fluid-restriction, evening MRI, corticosteroids, & antipsychotics decrease volume Fluid-intake, morning MRI, surgical revascularization & medications increase volume Short-term changes within the light of long-term pathological changes should be investigated Short-term changes may introduce bias in longitudinal data
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Affiliation(s)
- Nikki Dieleman
- Department of Radiology, University Medical Center Utrecht, The Netherlands
| | - Huiberdina L Koek
- Department of Geriatrics, University Medical Center Utrecht, The Netherlands
| | - Jeroen Hendrikse
- Department of Radiology, University Medical Center Utrecht, The Netherlands
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71
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Sawda C, Moussa C, Turner RS. Resveratrol for Alzheimer's disease. Ann N Y Acad Sci 2017; 1403:142-149. [PMID: 28815614 PMCID: PMC5664214 DOI: 10.1111/nyas.13431] [Citation(s) in RCA: 184] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Revised: 06/09/2017] [Accepted: 06/14/2017] [Indexed: 12/13/2022]
Abstract
The amyloid hypothesis suggests that the progressive accumulation and deposition of central nervous system (CNS) amyloid with aging is the proximate cause of Alzheimer's disease (AD). Thus, targeting molecular mechanisms of aging may be a viable treatment approach. Caloric restriction prevents diseases of aging, including AD, in animal models, perhaps by activation of sirtuins. The sirtuins (e.g., mammalian SIRT1) are deacetylases that link energy balance (NAD+ /NADH) to regulation of gene transcription. Resveratrol is a potent activator of SIRT1, and thus may mimic caloric restriction to prevent diseases of aging. We conducted a randomized, double-blind, placebo-controlled, phase II trial of resveratrol for individuals with mild-to-moderate AD. Resveratrol (1) is detectable in cerebrospinal fluid (at low nanomolar levels), (2) is safe and well tolerated, (3) alters AD biomarker trajectories, (4) preserves blood-brain barrier integrity, and (5) modulates the CNS immune response. Further studies are needed to determine the safety and efficacy of resveratrol and the validity of this approach in the treatment and prevention of AD and other diseases of aging.
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Affiliation(s)
- Christine Sawda
- Memory Disorders Program, Department of Neurology, Georgetown University, Washington DC
| | - Charbel Moussa
- Memory Disorders Program, Department of Neurology, Georgetown University, Washington DC
- Translational Neurotherapeutics Program, Department of Neurology, Georgetown University, Washington DC
| | - R. Scott Turner
- Memory Disorders Program, Department of Neurology, Georgetown University, Washington DC
- Translational Neurotherapeutics Program, Department of Neurology, Georgetown University, Washington DC
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Havrdova E, Arnold DL, Cohen JA, Hartung HP, Fox EJ, Giovannoni G, Schippling S, Selmaj KW, Traboulsee A, Compston DAS, Margolin DH, Thangavelu K, Rodriguez CE, Jody D, Hogan RJ, Xenopoulos P, Panzara MA, Coles AJ. Alemtuzumab CARE-MS I 5-year follow-up: Durable efficacy in the absence of continuous MS therapy. Neurology 2017; 89:1107-1116. [PMID: 28835401 PMCID: PMC5595278 DOI: 10.1212/wnl.0000000000004313] [Citation(s) in RCA: 171] [Impact Index Per Article: 24.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 02/23/2017] [Indexed: 12/03/2022] Open
Abstract
Objective: To evaluate 5-year efficacy and safety of alemtuzumab in treatment-naive patients with active relapsing-remitting MS (RRMS) (CARE-MS I; NCT00530348). Methods: Alemtuzumab-treated patients received treatment courses at baseline and 12 months later; after the core study, they could enter an extension (NCT00930553) with as-needed alemtuzumab retreatment for relapse or MRI activity. Assessments included annualized relapse rate (ARR), 6-month confirmed disability worsening (CDW; ≥1-point Expanded Disability Status Scale [EDSS] score increase [≥1.5 if baseline EDSS = 0]), 6-month confirmed disability improvement (CDI; ≥1-point EDSS decrease [baseline score ≥2.0]), no evidence of disease activity (NEDA), brain volume loss (BVL), and adverse events (AEs). Results: Most alemtuzumab-treated patients (95.1%) completing CARE-MS I enrolled in the extension; 68.5% received no additional alemtuzumab treatment. ARR remained low in years 3, 4, and 5 (0.19, 0.14, and 0.15). Over years 0–5, 79.7% were free of 6-month CDW; 33.4% achieved 6-month CDI. Most patients (61.7%, 60.2%, and 62.4%) had NEDA in years 3, 4, and 5. Median yearly BVL improved over years 2–4, remaining low in year 5 (years 1–5: −0.59%, −0.25%, −0.19%, −0.15%, and −0.20%). Exposure-adjusted incidence rates of most AEs declined in the extension relative to the core study. Thyroid disorder incidences peaked at year 3 and subsequently declined. Conclusions: Based on these data, alemtuzumab provides durable efficacy through 5 years in the absence of continuous treatment, with most patients not receiving additional courses. ClinicalTrials.gov identifier: NCT00530348; NCT00930553. Classification of evidence: This study provides Class III evidence that alemtuzumab durably improves efficacy outcomes and slows BVL in patients with RRMS.
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Affiliation(s)
- Eva Havrdova
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA.
| | - Douglas L Arnold
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Jeffrey A Cohen
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Hans-Peter Hartung
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Edward J Fox
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Gavin Giovannoni
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Sven Schippling
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Krzysztof W Selmaj
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Anthony Traboulsee
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - D Alastair S Compston
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - David H Margolin
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Karthinathan Thangavelu
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Claudio E Rodriguez
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Darlene Jody
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Richard J Hogan
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Panos Xenopoulos
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
| | - Michael A Panzara
- From the Department of Neurology and Center for Clinical Neuroscience (E.H.), First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic; NeuroRx Research (D.L.A.), Montréal; Department of Neurology and Neurosurgery (D.L.A.), Montréal Neurological Institute, McGill University, Québec, Canada; Mellen Center (J.A.C.), Cleveland Clinic, OH; Department of Neurology and Center for Neuropsychiatry (H.-P.H.), Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany; MS Clinic of Central Texas (E.J.F.), Central Texas Neurology Consultants, Round Rock; Queen Mary University of London (G.G.), Barts and The London School of Medicine, UK; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zürich and University of Zürich, Switzerland; Department of Neurology (K.W.S.), Medical University of Łódź, Poland; The University of British Columbia (A.T.), Vancouver, Canada; Department of Clinical Neurosciences (D.A.S.C., A.J.C.), University of Cambridge, UK; Sanofi (D.H.M., K.T., C.E.R., D.J., M.A.P.), Cambridge, MA; Evidence Scientific Solutions (R.J.H.), Sydney, NSW, Australia; and Evidence Scientific Solutions (P.X.), Philadelphia, PA. M.A.P. is currently affiliated with Wave Life Sciences, Cambridge, MA
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Modica CM, Schweser F, Sudyn ML, Bertolino N, Preda M, Polak P, Siebert DM, Krawiecki JC, Sveinsson M, Hagemeier J, Dwyer MG, Pol S, Zivadinov R. Effect of teriflunomide on cortex-basal ganglia-thalamus (CxBGTh) circuit glutamatergic dysregulation in the Theiler's Murine Encephalomyelitis Virus mouse model of multiple sclerosis. PLoS One 2017; 12:e0182729. [PMID: 28796815 PMCID: PMC5552032 DOI: 10.1371/journal.pone.0182729] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2017] [Accepted: 07/24/2017] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Pathology of gray matter is associated with development of physical and cognitive disability in patients with multiple sclerosis. In particular, glutamatergic dysregulation in the cortex-basal ganglia-thalamus (CxBGTh) circuit could be associated with decline in these behaviors. OBJECTIVES To investigate the effect of an immunomodulatory therapy (teriflunomide, Aubagio®) on changes of the CxBGTh loop in the Theiler's Murine Encephalomyelitis Virus, (TMEV) mouse model of MS. METHODS Forty-eight (48) mice were infected with TMEV, treated with teriflunomide (24) or control vehicle (24) and followed for 39 weeks. Mice were examined with MRS and volumetric MRI scans (0, 8, 26, and 39 weeks) in the cortex, basal ganglia and thalamus, using a 9.4T scanner, and with behavioral tests (0, 4, 8, 12, 17, 26, and 39 weeks). Within conditions, MRI measures were compared between two time points by paired samples t-test and across multiple time points by repeated measures ANOVA (rmANOVA), and between conditions by independent samples t-test and rmANOVA, respectively. Data were considered as significant at the p<0.01 level and as a trend at p<0.05 level. RESULTS In the thalamus, the teriflunomide arm exhibited trends toward decreased glutamate levels at 8 and 26 weeks compared to the control arm (p = 0.039 and p = 0.026), while the control arm exhibited a trend toward increased glutamate between 0 to 8 weeks (p = 0.045). In the basal ganglia, the teriflunomide arm exhibited a trend toward decreased glutamate earlier than the control arm, from 0 to 8 weeks (p = 0.011), resulting in decreased glutamate compared to the control arm at 8 weeks (p = 0.016). CONCLUSIONS Teriflunomide may reduce possible excitotoxicity in the thalamus and basal ganglia by lowering glutamate levels.
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Affiliation(s)
- Claire M Modica
- Neuroscience Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America.,Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Ferdinand Schweser
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America.,Translational Imaging Center, Clinical and Translational Science Institute, University at Buffalo, Buffalo, New York, United States of America
| | - Michelle L Sudyn
- Neuroscience Program, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America.,Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Nicola Bertolino
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Marilena Preda
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America.,Translational Imaging Center, Clinical and Translational Science Institute, University at Buffalo, Buffalo, New York, United States of America
| | - Paul Polak
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Danielle M Siebert
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America.,Exercise Science, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York, United States of America
| | - Jacqueline C Krawiecki
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America.,Department of Geology, University at Buffalo, Buffalo, New York, United States of America
| | - Michele Sveinsson
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Jesper Hagemeier
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Michael G Dwyer
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Suyog Pol
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America
| | - Robert Zivadinov
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, United States of America.,Translational Imaging Center, Clinical and Translational Science Institute, University at Buffalo, Buffalo, New York, United States of America
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McNamara C, Sugrue G, Murray B, MacMahon PJ. Current and Emerging Therapies in Multiple Sclerosis: Implications for the Radiologist, Part 2-Surveillance for Treatment Complications and Disease Progression. AJNR Am J Neuroradiol 2017; 38:1672-1680. [PMID: 28428206 DOI: 10.3174/ajnr.a5148] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
An understanding of the new generation of MS drugs in conjunction with the key role MR imaging plays in the detection of disease progression, opportunistic infections, and drug-related adverse effects is of vital importance to the neuroradiologist. Part 1 of this review outlined the current treatment options available for MS and examined the mechanisms of action of the various medications. It also covered specific complications associated with each form of therapy. Part 2, in turn deals with the subject of pharmacovigilance and the optimal frequency of MRI monitoring for each individual patient, depending on his or her unique risk profile. Special attention is given to the diagnosing of progressive multifocal leukoencephalopathy in patients treated with natalizumab as this is a key area in which neuroradiologists can contribute to improved patient outcomes. This article also outlines the aims of treatment and reviews the possibility of "no evidence of disease activity" becoming a treatment goal with the availability of more effective therapies. Potential future areas and technologies including image subtraction, brain volume measurement and advanced imaging techniques such as double inversion recovery are also reviewed. It is anticipated that such advancements in this rapidly developing field will improve the accuracy of monitoring an individual patient's response to treatment.
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Affiliation(s)
- C McNamara
- From the Departments of Radiology (C.M., G.S., P.J.M.)
| | - G Sugrue
- From the Departments of Radiology (C.M., G.S., P.J.M.)
| | - B Murray
- Neurology (B.M.), Mater Misericordiae University Hospital, Dublin, Ireland
| | - P J MacMahon
- From the Departments of Radiology (C.M., G.S., P.J.M.)
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Merkel B, Butzkueven H, Traboulsee AL, Havrdova E, Kalincik T. Timing of high-efficacy therapy in relapsing-remitting multiple sclerosis: A systematic review. Autoimmun Rev 2017; 16:658-665. [PMID: 28428119 DOI: 10.1016/j.autrev.2017.04.010] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2017] [Accepted: 03/29/2017] [Indexed: 01/12/2023]
Abstract
BACKGROUND Immunotherapy initiated early after first presentation of relapsing-remitting multiple sclerosis is associated with improved long-term outcomes. One can therefore speculate that early initiation of highly effective immunotherapies, with an average efficacy that is superior to the typical first-line therapies, could further improve relapse and disability outcomes. However, the most common treatment strategy is to commence first-line therapies, followed by treatment escalation in patients who continue to experience on-treatment disease activity. While this monitoring approach is logical, the current lack of effective regenerative or remyelinating therapies behoves us to consider high-efficacy treatment strategies from disease onset (including induction therapy) in order to prevent irreversible disability. OBJECTIVE In this systematic review, we evaluate the effect of high-efficacy immunotherapies at different stages of MS. METHODS A systematic review of literature reporting outcomes of treatment with fingolimod, natalizumab or alemtuzumab at different stages of MS was carried out. RESULTS AND CONCLUSIONS Twelve publications reporting relevant information were included in the systematic review. The literature suggests that treatment with high-efficacy immunotherapies is more potent in suppressing relapse activity when initiated early vs. with a delay after the MS diagnosis. The evidence reported for disability and MRI outcomes is inconclusive.
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Affiliation(s)
- Bernd Merkel
- Department of Medicine, University of Melbourne, 300 Grattan St, Melbourne 3050, Australia; Department of Neurology, Royal Melbourne Hospital, 300 Grattan St, Melbourne 3050, Australia
| | - Helmut Butzkueven
- Department of Medicine, University of Melbourne, 300 Grattan St, Melbourne 3050, Australia; Department of Neurology, Royal Melbourne Hospital, 300 Grattan St, Melbourne 3050, Australia
| | - Anthony L Traboulsee
- Department of Medicine, University of British Columbia, 2211 Wesbrook Mall, Room s199, Vancouver V6T 2B5, Canada
| | - Eva Havrdova
- Department of Neurology, Center of Clinical Neuroscience, First Faculty of Medicine, General University Hospital, Charles University in Prague, Karlovo namesti 22, Prague 12800, Czech Republic
| | - Tomas Kalincik
- Department of Medicine, University of Melbourne, 300 Grattan St, Melbourne 3050, Australia; Department of Neurology, Royal Melbourne Hospital, 300 Grattan St, Melbourne 3050, Australia.
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76
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Button J, Al-Louzi O, Lang A, Bhargava P, Newsome SD, Frohman T, Balcer LJ, Frohman EM, Prince J, Calabresi PA, Saidha S. Disease-modifying therapies modulate retinal atrophy in multiple sclerosis: A retrospective study. Neurology 2017; 88:525-532. [PMID: 28077493 DOI: 10.1212/wnl.0000000000003582] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 11/10/2016] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE To retrospectively investigate whether disease-modifying therapies (DMTs) exert differential effects on rates of retinal atrophy in relapsing-remitting multiple sclerosis (RRMS), as assessed using optical coherence tomography (OCT). METHODS A total of 402 patients with RRMS followed at the Johns Hopkins MS Center who underwent Cirrus-HD OCT were assessed for eligibility. Inclusion criteria included at least 1 year of OCT follow-up and adherence to a single DMT during the period of follow-up. Combined thickness of the ganglion cell + inner plexiform (GCIP) and other retinal layers was computed utilizing automated macular segmentation. Retinal thickness changes were analyzed using mixed-effects linear regression. RESULTS The effects of glatiramer acetate (GA; n = 48), natalizumab (NAT; n = 46), and interferon-β-1a subcutaneously (IFNSC; n = 35) and intramuscularly (IFNIM; n = 28) were assessed. Baseline analyses revealed no significant differences between groups in terms of age, sex, optic neuritis history, or follow-up duration. During follow-up, relative to NAT-treated patients, IFNSC- and GA-treated patients exhibited 0.37 μm/y (p < 0.001) and 0.14 μm/y (p = 0.035) faster rates of GCIP thinning, respectively, adjusting for the interval between initiation of DMT and OCT monitoring (gap time), age, sex, relapses, and disease duration. In the IFNSC group, GCIP thinning was 1.53 μm/y faster during the first year of therapy vs during the time interval afterwards (p < 0.001). CONCLUSIONS Rates of GCIP atrophy in patients with RRMS vary according to DMT utilization. Our findings support OCT for monitoring neurodegenerative treatment effects in the retina, an easily accessible tissue, and as a practical outcome measure in RRMS clinical trials.
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Affiliation(s)
- Julia Button
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Omar Al-Louzi
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Andrew Lang
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Pavan Bhargava
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Scott D Newsome
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Teresa Frohman
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Laura J Balcer
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Elliot M Frohman
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Jerry Prince
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Peter A Calabresi
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York
| | - Shiv Saidha
- From the Departments of Neurology (J.B., O.A.-L., P.B., S.D.N., P.A.C., S.S.) and Electrical and Computer Engineering (A.L., J.P.), Johns Hopkins University, Baltimore, MD; Department of Internal Medicine (O.A.-L.), North Shore Medical Center, Salem, MA; Department of Neurology and Ophthalmology (T.F., E.M.F.), University of Texas Southwestern, Dallas; and Department of Neurology (L.J.B.), New York University Langone Medical Center, New York.
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Abstract
Brain atrophy occurs at a faster rate in patients with multiple sclerosis (MS) than in healthy individuals. In three randomized, controlled, phase III trials, fingolimod reduced the annual rate of brain volume loss (BVL) in patients with relapsing MS (RMS) by approximately one-third relative to that in individuals receiving placebo or intramuscular interferon beta-1a. Analysis of brain volume changes during study extensions has shown that this reduced rate of BVL is sustained in patients with RMS receiving fingolimod continuously. Subgroup analyses of the core phase III and extension studies have shown that reductions in the rate of BVL are observed irrespective of levels of inflammatory lesion activity seen by magnetic resonance imaging at baseline and on study; levels of disability at baseline; and treatment history. The rate of BVL in these studies was predicted independently by T2 lesion and gadolinium-enhancing lesion burdens at baseline, and correlations observed between BVL and increasing levels of disability strengthened over time. In another phase III trial in patients with primary progressive MS (PPMS), fingolimod did not reduce BVL overall relative to placebo; however, consistent with findings in RMS, there was a treatment effect on BVL in patients with PPMS with gadolinium-enhancing lesion activity at baseline. The association between treatment effects on BVL and future accumulation of disability argues in favor of measuring BVL on a more routine basis and with a more structured approach than is generally the case in clinical practice. Despite several practical obstacles, progress is being made in achieving this goal.
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Abstract
Due to the heterogeneous nature of the disease, it is a challenge to capture disease activity of multiple sclerosis (MS) in a reliable and valid way. Therefore, it can be difficult to assess the true efficacy of interventions in clinical trials. In phase III trials in MS, the traditionally used primary clinical outcome measures are the Expanded Disability Status Scale and the relapse rate. Secondary outcome measures in these trials are the number or volume of T2 hyperintense lesions and gadolinium-enhancing T1 lesions on magnetic resonance imaging (MRI) of the brain. These secondary outcome measures are often primary outcome measures in phase II trials in MS. Despite several limitations, the traditional clinical measures are still the mainstay for assessing treatment efficacy. Newer and potentially valuable outcome measures increasingly used or explored in MS trials are, clinically, the MS Functional Composite and patient-reported outcome measures, and on MRI, brain atrophy and the formation of persisting black holes. Several limitations of these measures have been addressed and further improvements will probably be proposed. Major improvements are the coverage of additional functional domains such as cognitive functioning and assessment of the ability to carry out activities of daily living. The development of multidimensional measures is promising because these measures have the potential to cover the full extent of MS activity and progression. In this review, we provide an overview of the historical background and recent developments of outcome measures in MS trials. We discuss the advantages and limitations of various measures, including newer assessments such as optical coherence tomography, biomarkers in body fluids and the concept of 'no evidence of disease activity'.
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Affiliation(s)
- Caspar E. P. van Munster
- Department of Neurology, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, De Boelelaan 1117, 1081 Amsterdam, The Netherlands
| | - Bernard M. J. Uitdehaag
- Department of Neurology, Amsterdam Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, De Boelelaan 1117, 1081 Amsterdam, The Netherlands
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Rocca MA, Battaglini M, Benedict RHB, De Stefano N, Geurts JJG, Henry RG, Horsfield MA, Jenkinson M, Pagani E, Filippi M. Brain MRI atrophy quantification in MS: From methods to clinical application. Neurology 2016; 88:403-413. [PMID: 27986875 DOI: 10.1212/wnl.0000000000003542] [Citation(s) in RCA: 162] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 10/18/2016] [Indexed: 01/06/2023] Open
Abstract
Patients with the main clinical phenotypes of multiple sclerosis (MS) manifest varying degrees of brain atrophy beyond that of normal aging. Assessment of atrophy helps to distinguish clinically and cognitively deteriorating patients and predicts those who will have a less-favorable clinical outcome over the long term. Atrophy can be measured from brain MRI scans, and many technological improvements have been made over the last few years. Several software tools, with differing requirements on technical ability and levels of operator intervention, are currently available and have already been applied in research or clinical trial settings. Despite this, the measurement of atrophy in routine clinical practice remains an unmet need. After a short summary of the pathologic substrates of brain atrophy in MS, this review attempts to guide the clinician towards a better understanding of the methods currently used for quantifying brain atrophy in this condition. Important physiologic factors that affect brain volume measures are also considered. Finally, the most recent research on brain atrophy in MS is summarized, including whole brain and various compartments thereof (i.e., white matter, gray matter, selected CNS structures). Current methods provide sufficient precision for cohort studies, but are not adequate for confidently assessing changes in individual patients over the scale of months or a few years.
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Affiliation(s)
- Maria A Rocca
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Marco Battaglini
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Ralph H B Benedict
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Nicola De Stefano
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Jeroen J G Geurts
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Roland G Henry
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Mark A Horsfield
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Mark Jenkinson
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Elisabetta Pagani
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Massimo Filippi
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK.
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Zivadinov R, Khan N, Medin J, Christoffersen P, Price J, Korn JR, Bonzani I, Dwyer MG, Bergsland N, Carl E, Silva D, Weinstock-Guttman B. An Observational Study to Assess Brain MRI Change and Disease Progression in Multiple Sclerosis Clinical Practice-The MS-MRIUS Study. J Neuroimaging 2016; 27:339-347. [PMID: 27918139 PMCID: PMC5434824 DOI: 10.1111/jon.12411] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 10/05/2016] [Accepted: 10/29/2016] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND & PURPOSE To describe methodology, interim baseline, and longitudinal magnetic resonance imaging (MRI) acquisition parameter characteristics of the multiple sclerosis clinical outcome and MRI in the United States (MS‐MRIUS). MATERIAL & METHODS The MS‐MRIUS is an ongoing longitudinal and retrospective study of MS patients on fingolimod. Clinical and brain MRI image scan data were collected from 600 patients across 33 MS centers in the United States. MRI brain outcomes included change in whole‐brain volume, lateral ventricle volume, T2‐ and T1‐lesion volumes, and new/enlarging T2 and gadolinium‐enhancing lesions. RESULTS Interim baseline and longitudinal MRI acquisition parameters results are presented for 252 patients. Mean age was 44 years and 81% were female. Forty percent of scans had 3‐dimensional (3D) T1 sequence in the preindex period, increasing to 50% in the postindex period. Use of 2‐dimensional (2D) T1 sequence decreased over time from 85% in the preindex period to 65% in the postindex. About 95% of the scans with FLAIR and 2D T1‐WI were considered acceptable or good quality compared to 99–100% with 3D T1‐WI. There were notable changes in MRI hardware, software, and coil (39.5% in preindex to index and 50% in index to postindex). MRI sequence parameters (orientation, thickness, or protocol) differed for 36%, 29%, and 20% of index/postindex scans for FLAIR, 2D T1‐WI, and 3D T1‐WI, respectively. CONCLUSIONS The MS‐MRIUS study linked the clinical and brain MRI outcomes into an integrated database to create a cohort of fingolimod patients in real‐world practice. Variability was observed in MRI acquisition protocols overtime.
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Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,MR Imaging Clinical Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | | | | | | | | | | | | | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,IRCCS "S.Maria Nascente", Don Gnocchi Foundation, Milan, Italy
| | - Ellen Carl
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Diego Silva
- Novartis Pharmaceuticals AG, Basel, Switzerland
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
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Alroughani R, Deleu D, El Salem K, Al-Hashel J, Alexander KJ, Abdelrazek MA, Aljishi A, Alkhaboori J, Al Azri F, Al Zadjali N, Hbahbih M, Sokrab TE, Said M, Rovira À. A regional consensus recommendation on brain atrophy as an outcome measure in multiple sclerosis. BMC Neurol 2016; 16:240. [PMID: 27881095 PMCID: PMC5121973 DOI: 10.1186/s12883-016-0762-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 11/15/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic autoimmune disease characterized by inflammatory and neurodegenerative processes leading to irreversible neurological impairment. Brain atrophy occurs early in the course of the disease at a rate greater than the general population. Brain volume loss (BVL) is associated with disability progression and cognitive impairment in patients with MS; hence its value as a potential target in monitoring and treating MS is discussed. METHODS A group of MS neurologists and neuro-radiologists reviewed the current literature on brain atrophy and discussed the challenges in assessing and implementing brain atrophy measurements in clinical practice. The panel used a voting system to reach a consensus and the votes were counted for the proposed set of questions for cognitive and brain atrophy assessments. RESULTS The panel of experts was able to identify recent studies, which demonstrated the correlation between BVL and future worsening of disability and cognition. The current evidence revealed that reduction of BVL could be achieved with different disease-modifying therapies (DMTs). BVL provided a better treatment and monitoring strategy when it is combined to the composite measures of "no evidence of disease activity" (NEDA). The panel recommended a set of cognitive assessment tools and MRI methods and software applications that may help in capturing and measuring the underlying MS pathology with high degree of specificity. CONCLUSION BVL was considered to be a useful measurement to longitudinally assess disease progression and cognitive function in patients with MS. Brain atrophy measurement was recommended to be incorporated into the concept of NEDA. Consequently, a consensus recommendation was reached in anticipation for implementation of the use of cognitive assessment and brain atrophy measurements on a regional level.
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Affiliation(s)
- Raed Alroughani
- Division of Neurology, Department of Medicine, Amiri Hospital, Kuwait City, Kuwait.
- Neurology Clinic, Dasman Diabetes Institute, Dasman, Kuwait.
| | - Dirk Deleu
- Division of Neurology (Neuroscience Institute), Hamad General Hospital, Doha, Qatar
| | - Khalid El Salem
- Department of Neurology, Jordan University of Science and Technology, King Abdullah University Hospital, Irbid, Jordan
| | - Jasem Al-Hashel
- Department of Neurology, Ibn Sina Hospital, Kuwait City, Kuwait
| | | | | | - Adel Aljishi
- Department of Neurology, Salmaniya Hospital & AGU, Manama, Bahrain
| | | | - Faisal Al Azri
- Department of Radiology, Sultan Qaboos University Hospital, Muscat, Oman
| | | | | | - Tag Eldin Sokrab
- Division of Neurology (Neuroscience Institute), Hamad General Center, Doha, Qatar
| | - Mohamed Said
- Medical Manger-Gulf Countries, Novartis pharmaceuticals, Dubai, United Arab Emirates
| | - Àlex Rovira
- Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
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La Mantia L, Di Pietrantonj C, Rovaris M, Rigon G, Frau S, Berardo F, Gandini A, Longobardi A, Weinstock‐Guttman B, Vaona A. Interferons-beta versus glatiramer acetate for relapsing-remitting multiple sclerosis. Cochrane Database Syst Rev 2016; 11:CD009333. [PMID: 27880972 PMCID: PMC6464642 DOI: 10.1002/14651858.cd009333.pub3] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Interferons-beta (IFNs-beta) and glatiramer acetate (GA) were the first two disease-modifying therapies (DMTs) approved 20 years ago for the treatment of multiple sclerosis (MS). DMTs' prescription rates as first or switching therapies and their costs have both increased substantially over the past decade. As more DMTs become available, the choice of a specific DMT should reflect the risk/benefit profile, as well as the impact on quality of life. As MS cohorts enrolled in different studies can vary significantly, head-to-head trials are considered the best approach for gaining objective reliable data when two different drugs are compared. The purpose of this systematic review is to summarise available evidence on the comparative effectiveness of IFNs-beta and GA on disease course through the analysis of head-to-head trials.This is an update of the Cochrane review 'Interferons-beta versus glatiramer acetate for relapsing-remitting multiple sclerosis' (first published in the Cochrane Library 2014, Issue 7). OBJECTIVES To assess whether IFNs-beta and GA differ in terms of safety and efficacy in the treatment of people with relapsing-remitting (RR) MS. SEARCH METHODS We searched the Trials Register of the Cochrane Multiple Sclerosis and Rare Diseases of the CNS Group (08 August 2016) and the reference lists of retrieved articles. We contacted authors and pharmaceutical companies. SELECTION CRITERIA Randomised controlled trials (RCTs) comparing directly IFNs-beta versus GA in study participants affected by RRMS. DATA COLLECTION AND ANALYSIS We used standard methodological procedures as expected by Cochrane. MAIN RESULTS Six trials were included and five trials contributed to this review with data. A total of 2904 participants were randomly assigned to IFNs (1704) and GA (1200). The treatment duration was three years for one study, two years for the other four RCTs while one study was stopped early (after one year). The IFNs analysed in comparison with GA were IFN-beta 1b 250 mcg (two trials, 933 participants), IFN-beta 1a 44 mcg (three trials, 466 participants) and IFN-beta 1a 30 mcg (two trials, 305 participants). Enrolled participants were affected by active RRMS. All studies were at high risk for attrition bias. Three trials are still ongoing, one of them completed.Both therapies showed similar clinical efficacy at 24 months, given the primary outcome variables (number of participants with relapse (risk ratio (RR) 1.04, 95% confidence interval (CI) 0.87 to 1.24) or progression (RR 1.11, 95% CI 0.91 to 1.35). However at 36 months, evidence from a single study suggests that relapse rates were higher in the group given IFNs than in the GA group (RR 1.40, 95% CI 1.13 to 1.74, P value 0.002).Secondary magnetic resonance imaging (MRI) outcomes analysis showed that effects on new or enlarging T2- or new contrast-enhancing T1 lesions at 24 months were similar (mean difference (MD) -0.15, 95% CI -0.68 to 0.39, and MD -0.14, 95% CI -0.30 to 0.02, respectively). However, the reduction in T2- and T1-weighted lesion volume was significantly greater in the groups given IFNs than in the GA groups (MD -0.58, 95% CI -0.99 to -0.18, P value 0.004, and MD -0.20, 95% CI -0.33 to -0.07, P value 0.003, respectively).The number of participants who dropped out of the study because of adverse events was similar in the two groups (RR 0.95, 95% CI 0.64 to 1.40).The quality of evidence for primary outcomes was judged as moderate for clinical end points, but for safety and some MRI outcomes (number of active T2 lesions), quality was judged as low. AUTHORS' CONCLUSIONS The effects of IFNs-beta and GA in the treatment of people with RRMS, including clinical (e.g. people with relapse, risk to progression) and MRI (Gd-enhancing lesions) measures, seem to be similar or to show only small differences. When MRI lesion load accrual is considered, the effect of the two treatments differs, in that IFNs-beta were found to limit the increase in lesion burden as compared with GA. Evidence was insufficient for a comparison of the effects of the two treatments on patient-reported outcomes, such as quality-of-life measures.
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Affiliation(s)
- Loredana La Mantia
- I.R.C.C.S. Santa Maria Nascente ‐ Fondazione Don GnocchiUnit of Neurorehabilitation ‐ Multiple Sclerosis CenterVia Capecelatro, 66MilanoItaly20148
| | - Carlo Di Pietrantonj
- Local Health Unit Alessandria‐ ASL ALRegional Epidemiology Unit SeREMIVia Venezia 6AlessandriaAlessandriaItaly15121
| | - Marco Rovaris
- I.R.C.C.S. Santa Maria Nascente ‐ Fondazione Don GnocchiUnit of Neurorehabilitation ‐ Multiple Sclerosis CenterVia Capecelatro, 66MilanoItaly20148
| | - Giulio Rigon
- Azienda ULSS 20 ‐ VeronaPrimary CareVia Vivaldi, 11VeronaItaly37138
| | | | - Francesco Berardo
- Azienda Ospedaliera di Verona ‐ Department of PharmacyDrug Efficacy Evaluation Unit (UVEF) ‐ Veneto Regional Drug Information CenterPiazzale Stefani 1VeronaItaly37126
| | - Anna Gandini
- Azienda ULSS 21 ‐ LegnagoRegional Health ServiceVia Gianella 1LegnagoVareseItaly37045
| | - Anna Longobardi
- Azienda ULSS 20 ‐ VeronaPrimary CareVia Vivaldi, 11VeronaItaly37138
| | - Bianca Weinstock‐Guttman
- SUNY University of BuffaloDirector, Jacobs MS Center and Pediatric MS Center of Excellence100 High StreetBuffaloNew YorkUSA14203
| | - Alberto Vaona
- Azienda ULSS 20 ‐ VeronaPrimary CareVia Vivaldi, 11VeronaItaly37138
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Dupuy SL, Tauhid S, Hurwitz S, Chu R, Yousuf F, Bakshi R. The Effect of Dimethyl Fumarate on Cerebral Gray Matter Atrophy in Multiple Sclerosis. Neurol Ther 2016; 5:215-229. [PMID: 27744504 PMCID: PMC5130921 DOI: 10.1007/s40120-016-0054-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Indexed: 10/25/2022] Open
Abstract
INTRODUCTION The objective of this pilot study was to compare cerebral gray matter (GM) atrophy over 1 year in patients starting dimethyl fumarate (DMF) for multiple sclerosis (MS) to that of patients on no disease-modifying treatment (noDMT). DMF is an established therapy for relapsing-remitting (RR) MS. METHODS We retrospectively analyzed 20 patients with RRMS at the start of DMF [age (mean ± SD) 46.1 ± 10.2 years, Expanded Disability Status Scale (EDSS) score 1.1 ± 1.2, timed 25-foot walk (T25FW) 4.6 ± 0.8 s] and eight patients on noDMT (age 42.5 ± 6.6 years, EDSS 1.7 ± 1.1, T25FW 4.4 ± 0.6 s). Baseline and 1-year 3D T1-weighted 3T MRI was processed with automated pipelines (SIENA, FSL-FIRST) to assess percentage whole brain volume change (PBVC) and deep GM (DGM) atrophy. Group differences were assessed by analysis of covariance, with time between MRI scans as a covariate. RESULTS Over 1 year, the DMF group showed a lower rate of whole brain atrophy than the noDMT group (PBVC: -0.37 ± 0.49% vs. -1.04 ± 0.67%, p = 0.005). The DMF group also had less change in putamen volume (-0.06 ± 0.22 vs. -0.32 ± 0.28 ml, p = 0.02). There were no significant on-study differences between groups in caudate, globus pallidus, thalamus, total DGM volume, T2 lesion volume, EDSS, or T25FW (all p > 0.20). CONCLUSIONS These results suggest a treatment effect of DMF on GM atrophy appearing at 1 year after starting therapy. However, due to the retrospective study design and sample size, these findings should be considered preliminary, and require confirmation in future investigations. FUNDING Biogen.
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Affiliation(s)
- Sheena L Dupuy
- Department of Neurology, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Shahamat Tauhid
- Department of Neurology, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Shelley Hurwitz
- Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Renxin Chu
- Department of Neurology, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Fawad Yousuf
- Department of Neurology, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Rohit Bakshi
- Departments of Neurology and Radiology, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
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84
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Mellergård J, Tisell A, Blystad I, Grönqvist A, Blennow K, Olsson B, Dahle C, Vrethem M, Lundberg P, Ernerudh J. Cerebrospinal fluid levels of neurofilament and tau correlate with brain atrophy in natalizumab-treated multiple sclerosis. Eur J Neurol 2016; 24:112-121. [PMID: 27699930 DOI: 10.1111/ene.13162] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2016] [Accepted: 08/09/2016] [Indexed: 12/28/2022]
Abstract
BACKGROUND AND PURPOSE Brain atrophy is related to clinical deterioration in multiple sclerosis (MS) but its association with intrathecal markers of inflammation or neurodegeneration is unclear. Our aim was to investigate whether cerebrospinal fluid (CSF) markers of inflammation or neurodegeneration are associated with brain volume change in natalizumab-treated MS and whether this change is reflected in non-lesional white matter metabolites. METHODS About 25 patients with natalizumab-treated MS were followed for 3 years with assessment of percentage brain volume change (PBVC) and absolute quantification of metabolites with proton magnetic resonance spectroscopy (1 H MRS). Analyses of inflammatory [interleukin 1β (IL-1β), IL-6, C-X-C motif chemokine 8 (CXCL8), CXCL10, CXCL11, C-C motif chemokine 22] and neurodegenerative [neurofilament light protein (NFL), glial fibrillary acidic protein, myelin basic protein, tau proteins] markers were done at baseline and 1-year follow-up. RESULTS The mean decline in PBVC was 3% at the 3-year follow-up, although mean 1 H MRS metabolite levels in non-lesional white matter were unchanged. CSF levels of NFL and tau at baseline correlated negatively with PBVC over 3 years (r = -0.564, P = 0.012, and r = -0.592, P = 0.010, respectively). CONCLUSIONS A significant 3-year whole-brain atrophy was not reflected in mean metabolite change of non-lesional white matter. In addition, our results suggest that CSF levels of NFL and tau correlate with brain atrophy development and may be used for evaluating treatment response in inflammatory active MS.
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Affiliation(s)
- J Mellergård
- Department of Neurology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - A Tisell
- Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - I Blystad
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Department of Radiology and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - A Grönqvist
- Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - K Blennow
- Clinical Neurochemistry Laboratory, Institution of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - B Olsson
- Clinical Neurochemistry Laboratory, Institution of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - C Dahle
- Department of Clinical Immunology and Transfusion Medicine and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - M Vrethem
- Department of Neurology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.,Department of Clinical Neurophysiology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - P Lundberg
- Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden.,Department of Radiology and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - J Ernerudh
- Department of Clinical Immunology and Transfusion Medicine and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
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85
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Smeets D, Ribbens A, Sima DM, Cambron M, Horakova D, Jain S, Maertens A, Van Vlierberghe E, Terzopoulos V, Van Binst AM, Vaneckova M, Krasensky J, Uher T, Seidl Z, De Keyser J, Nagels G, De Mey J, Havrdova E, Van Hecke W. Reliable measurements of brain atrophy in individual patients with multiple sclerosis. Brain Behav 2016; 6:e00518. [PMID: 27688944 PMCID: PMC5036437 DOI: 10.1002/brb3.518] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Revised: 05/09/2016] [Accepted: 05/11/2016] [Indexed: 01/09/2023] Open
Abstract
INTRODUCTION As neurodegeneration is recognized as a major contributor to disability in multiple sclerosis (MS), brain atrophy quantification could have a high added value in clinical practice to assess treatment efficacy and disease progression, provided that it has a sufficiently low measurement error to draw meaningful conclusions for an individual patient. METHOD In this paper, we present an automated longitudinal method based on Jacobian integration for measuring whole-brain and gray matter atrophy based on anatomical magnetic resonance images (MRI), named MSmetrix. MSmetrix is specifically designed to measure atrophy in patients with MS, by including iterative lesion segmentation and lesion filling based on FLAIR and T1-weighted MRI scans. RESULTS MS metrix is compared with SIENA with respect to test-retest error and consistency, resulting in an average test-retest error on an MS data set of 0.13% (MS metrix) and 0.17% (SIENA) and a consistency error of 0.07% (MS metrix) and 0.05% (SIENA). On a healthy subject data set including physiological variability the test-retest is 0.19% (MS metrix) and 0.31% (SIENA). CONCLUSION Therefore, we can conclude that MSmetrix could be of added value in clinical practice for the follow-up of treatment and disease progression in MS patients.
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Affiliation(s)
- Dirk Smeets
- R&Dicometrix Leuven Belgium; BioImaging Lab Universiteit Antwerpen Antwerp Belgium
| | | | | | - Melissa Cambron
- Department of Neurology Center for Neurosciences Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB) Brussel Belgium
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience Charles University in Prague First Faculty of Medicine and General University Hospital Prague Czech Republic
| | | | | | | | | | - Anne-Marie Van Binst
- Department of Neurology Center for Neurosciences Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB) Brussel Belgium
| | - Manuela Vaneckova
- Department of Radiology 1st Faculty of Medicine and General University Hospital Charles University Prague Czech Republic
| | - Jan Krasensky
- Department of Radiology 1st Faculty of Medicine and General University Hospital Charles University Prague Czech Republic
| | - Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience Charles University in Prague First Faculty of Medicine and General University Hospital Prague Czech Republic
| | - Zdenek Seidl
- Department of Radiology 1st Faculty of Medicine and General University Hospital Charles University Prague Czech Republic
| | - Jacques De Keyser
- Department of Neurology Center for Neurosciences Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB) Brussel Belgium
| | - Guy Nagels
- National Multiple Sclerosis Centrum Melsbroek Belgium
| | - Johan De Mey
- Department of Neurology Center for Neurosciences Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel (VUB) Brussel Belgium
| | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience Charles University in Prague First Faculty of Medicine and General University Hospital Prague Czech Republic
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Khan O, Rieckmann P, Boyko A, Selmaj K, Ashtamker N, Davis MD, Kolodny S, Zivadinov R. Efficacy and safety of a three-times-weekly dosing regimen of glatiramer acetate in relapsing-remitting multiple sclerosis patients: 3-year results of the Glatiramer Acetate Low-Frequency Administration open-label extension study. Mult Scler 2016; 23:818-829. [PMID: 27503905 DOI: 10.1177/1352458516664033] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND The 1-year placebo-controlled (PC) phase of the Glatiramer Acetate Low-Frequency Administration (GALA) study showed that glatiramer acetate 40 mg/mL three times weekly (GA40) significantly reduced annualized relapse rate (ARR) and magnetic resonance imaging (MRI) activity in patients with relapsing-remitting multiple sclerosis. Patients completing the PC phase were invited to an open-label (OL) extension. OBJECTIVE To evaluate the effects of early start (ES) and delayed start (DS) of GA40 over 3 years. METHODS A total of 97.2% of patients completing the PC phase received GA40 in the OL extension. ES ( n = 943) patients received GA40 throughout; DS ( n = 461) patients received placebo during the PC phase and GA40 during the OL phase. Relapse, MRI, disease progression, and safety were evaluated. RESULTS A total of 1041 patients completed 3 years of follow-up. During the OL phase, ES and DS patients showed comparable ARRs (0.20-0.22) and similar numbers of gadolinium-enhancing T1 ( p = 0.49) and new or enlarging T2 lesions ( p = 0.51) at Year 3. ES patients showed significantly smaller changes in gray matter volume than DS patients from Months 12 to 36 (mean difference, 0.371%; p = 0.015), with similar trend in whole-brain volume ( p = 0.080). Adverse events were mild, consistent with the well-established glatiramer acetate (GA) safety profile. CONCLUSION GA40 conferred treatment benefit over 3 years: sustained low ARR and lesion activity and favorable safety.
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Affiliation(s)
- Omar Khan
- The Sastry Foundation Advanced Imaging Laboratory & Multiple Sclerosis Center, Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Peter Rieckmann
- Department of Neurology, Bamberg Academic Hospital, University of Erlangen, Bamberg, Germany
| | - Alexey Boyko
- Department of Neurology, Neurosurgery and Medical Genetic of the Pirogov's Russian National Research Medical University and MS Clinic at the Usupov's Hospital, Moscow, Russia
| | - Krzysztof Selmaj
- Department of Neurology, Medical University of Łódź, Łódź, Poland
| | | | | | | | - Robert Zivadinov
- Department of Neurology, School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
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Gandhi S, Jakimovski D, Ahmed R, Hojnacki D, Kolb C, Weinstock-Guttman B, Zivadinov R. Use of natalizumab in multiple sclerosis: current perspectives. Expert Opin Biol Ther 2016; 16:1151-62. [DOI: 10.1080/14712598.2016.1213810] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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88
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Biberacher V, Schmidt P, Keshavan A, Boucard CC, Righart R, Sämann P, Preibisch C, Fröbel D, Aly L, Hemmer B, Zimmer C, Henry RG, Mühlau M. Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis. Neuroimage 2016; 142:188-197. [PMID: 27431758 DOI: 10.1016/j.neuroimage.2016.07.035] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Revised: 07/05/2016] [Accepted: 07/14/2016] [Indexed: 11/26/2022] Open
Abstract
Brain volumetric measurements in multiple sclerosis (MS) reflect not only disease-specific processes but also other sources of variability. The latter has to be considered especially in multicenter and longitudinal studies. Here, we compare data generated by three different 3-Tesla magnetic resonance scanners (Philips Achieva; Siemens Verio; GE Signa MR750). We scanned two patients diagnosed with relapsing remitting MS six times per scanner within three weeks (T1w and FLAIR, 3D). We assessed T2-hyperintense lesions by an automated lesion segmentation tool and determined volumes of grey matter (GM), white matter (WM) and whole brain (GM+WM) from the lesion-filled T1-weighted images using voxel-based morphometry (SPM8/VBM8) and SIENAX (FSL). We measured cortical thickness using FreeSurfer from both, lesion-filled and original T1-weighted images. We quantified brain volume changes with SIENA. In both patients, we found significant differences in total lesion volume, global brain tissue volumes and cortical thickness measures between the scanners. Morphometric measures varied remarkably between repeated scans at each scanner, independent of the brain imaging software tool used. We conclude that for cross-sectional multicenter studies, the effect of different scanners has to be taken into account. For longitudinal monocentric studies, the expected effect size should exceed the size of false positive findings observed in this study. Assuming a physiological loss of brain volume of about 0.3% per year in healthy adult subjects (Good et al., 2001), which may double in MS (De Stefano et al., 2010; De Stefano et al., 2015), with current tools reliable estimation of brain atrophy in individual patients is only possible over periods of several years.
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Affiliation(s)
- Viola Biberacher
- Neurology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany; TUM-Neuroimaging Center, Technische Universität München, Munich, Germany.
| | - Paul Schmidt
- TUM-Neuroimaging Center, Technische Universität München, Munich, Germany; Statistics, Ludwig-Maximilians-Universität München, Ludwigstr. 33, 80539 Munich, Germany
| | - Anisha Keshavan
- Neurology, University of California San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158, United States
| | - Christine C Boucard
- Neurology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany; TUM-Neuroimaging Center, Technische Universität München, Munich, Germany
| | - Ruthger Righart
- Neurology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany; TUM-Neuroimaging Center, Technische Universität München, Munich, Germany
| | - Philipp Sämann
- Neuroimaging Core Unit, Max Planck Institute of Psychiatry, Kraepelinstr. 2-10, 80804 Munich, Germany
| | - Christine Preibisch
- Neuroradiology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Daniel Fröbel
- Neuroradiology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Lilian Aly
- Neurology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Bernhard Hemmer
- Neurology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377 Munich, Germany
| | - Claus Zimmer
- Neuroradiology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Roland G Henry
- Neurology, University of California San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158, United States
| | - Mark Mühlau
- Neurology, Technische Universität München, Ismaninger Str. 22, 81675 Munich, Germany; TUM-Neuroimaging Center, Technische Universität München, Munich, Germany
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Uher T, Havrdova E, Sobisek L, Krasensky J, Vaneckova M, Seidl Z, Tyblova M, Ramasamy D, Zivadinov R, Horakova D. Is no evidence of disease activity an achievable goal in MS patients on intramuscular interferon beta-1a treatment over long-term follow-up? Mult Scler 2016; 23:242-252. [PMID: 27230790 DOI: 10.1177/1352458516650525] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND No evidence of disease activity (NEDA) has been proposed as a new treatment goal in multiple sclerosis (MS). NEDA-3 status is defined as the absence of magnetic resonance imaging (MRI; new/enlarging/enhancing lesions and increased whole brain volume loss in NEDA-4) and clinical disease activity. OBJECTIVES To investigate the persistence of NEDA status over long-term follow-up in MS patients treated with weekly intramuscular interferon beta-1a. METHODS We included 192 patients after the first demyelinating event suggestive of MS, that is, clinically isolated syndrome (CIS) and 162 relapsing-remitting MS (RRMS) patients. RESULTS NEDA-3 status was observed in 40.1% of CIS and 20.4% of RRMS patients after 1 year. After 4 years, 10.1% of CIS patients had NEDA-3 status. After 10 years, none of the RRMS patients had NEDA-3 status. Only 4.6% of CIS and 1.0% of RRMS patients maintained NEDA-4 status after 4 years. Loss of NEDA-3 status after the first year was associated with a higher risk of disability progression (hazard ratio (HR) = 2.3-4.0; p = 0.005-0.03) over 6 years. CONCLUSIONS Despite intramuscular interferon beta-1a treatment, loss of NEDA status occurred in the vast majority of individuals. Loss of NEDA status during the first year was associated with disability progression over long-term follow-up; however, specificity for individual patient was low.
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Affiliation(s)
- Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Lukas Sobisek
- Department of Statistics and Probability, University of Economics in Prague, Prague, Czech Republic
| | - Jan Krasensky
- Department of Radiology, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Zdenek Seidl
- Department of Radiology, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Michaela Tyblova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Deepa Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA/MR Imaging Clinical Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
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90
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Matta APDC, Nascimento OJM, Ferreira ACADF, Magalhães TN, Benevides TPR, Kirmse A, Dib JG, Cal H, Orsini M, Araujo LM. No evidence of disease activity in multiple sclerosis patients. Expert Rev Neurother 2016; 16:1279-1284. [DOI: 10.1080/14737175.2016.1202763] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
| | | | | | | | | | - Arielle Kirmse
- Neurology Department, Federal Fluminense University, Rio de Janeiro, Brazil
| | - Joao Gabriel Dib
- Neurology Department, Federal Fluminense University, Rio de Janeiro, Brazil
| | - Henrique Cal
- Neurology Department, Federal Fluminense University, Rio de Janeiro, Brazil
| | - Marco Orsini
- Neurology Department, Federal Fluminense University, Rio de Janeiro, Brazil
- Faculty of Medicine, Severino Sombra University, Vassouras, Brazil
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91
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Zivadinov R, Dwyer MG, Bergsland N. Brain atrophy measurements should be used to guide therapy monitoring in MS - YES. Mult Scler 2016; 22:1522-1524. [PMID: 27335098 DOI: 10.1177/1352458516649253] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA/MR Imaging Clinical and Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA/Magnetic Resonance Laboratory, IRCCS Don Gnocchi Foundation, Milan, Italy
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92
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Zivadinov R, Jakimovski D, Gandhi S, Ahmed R, Dwyer MG, Horakova D, Weinstock-Guttman B, Benedict RRH, Vaneckova M, Barnett M, Bergsland N. Clinical relevance of brain atrophy assessment in multiple sclerosis. Implications for its use in a clinical routine. Expert Rev Neurother 2016; 16:777-93. [PMID: 27105209 DOI: 10.1080/14737175.2016.1181543] [Citation(s) in RCA: 112] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Brain atrophy measurement in multiple sclerosis (MS) has become an important outcome for determining patients at risk for developing physical and cognitive disability. AREAS COVERED In this article, we discuss the methodological issues related to using this MRI metric routinely, in a clinical setting. Understanding trajectories of annualized whole brain, gray and white matter, thalamic volume loss, and enlargement of ventricular space in specific MS phenotypes is becoming increasingly important. Evidence is mounting that disease-modifying treatments exert a positive effect on slowing brain atrophy progression in MS. Expert Commentary: While there is a need to translate measurement of brain atrophy to clinical routine at the individual patient level, there are still a number of challenges to be met before this can actually happen, including how to account for biological confounding factors and pseudoatrophy, standardize acquisition and analyses parameters, which can influence the accuracy of the assessments.
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Affiliation(s)
- Robert Zivadinov
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA.,b MR Imaging Clinical Translational Research Center, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Dejan Jakimovski
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Sirin Gandhi
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Rahil Ahmed
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Michael G Dwyer
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Dana Horakova
- c Department of Neurology and Center of Clinical Neuroscience , Charles University in Prague, First Faculty of Medicine and General University Hospital , Prague , Czech Republic
| | - Bianca Weinstock-Guttman
- d Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Ralph R H Benedict
- d Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA
| | - Manuela Vaneckova
- e Department of Radiology, First Faculty of Medicine and General University Hospital , Charles University , Prague , Czech Republic
| | - Michael Barnett
- f Sydney Neuroimaging Analysis Centre; Brain & Mind Centre , University of Sydney , Sydney , Australia
| | - Niels Bergsland
- a Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences , University at Buffalo, State University of New York , Buffalo , NY , USA.,g IRCCS 'S.Maria Nascente' , Don Gnocchi Foundation , Milan , Italy
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93
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Pul R, Saadat M, Morbiducci F, Skripuletz T, Pul Ü, Brockmann D, Sühs KW, Schwenkenbecher P, Kahl KG, Pars K, Stangel M, Trebst C. Longitudinal time-domain optic coherence study of retinal nerve fiber layer in IFNβ-treated and untreated multiple sclerosis patients. Exp Ther Med 2016; 12:190-200. [PMID: 27347038 PMCID: PMC4906774 DOI: 10.3892/etm.2016.3300] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2015] [Accepted: 02/11/2016] [Indexed: 12/14/2022] Open
Abstract
Quantification of the retinal nerve fiber layer (RNFL) by optical coherence tomography (OCT) has been proposed to provide an indirect measure for retinal axonal loss. The aim of the present study was to determine whether interferon beta (IFNβ) treatment impedes retinal axonal loss in multiple sclerosis (MS) patients. A total of 48 patients with MS (24 IFNβ-1b-treated and 24 untreated subjects) and 12 healthy controls were enrolled in a prospective longitudinal OCT study. OCT measurements were performed for both eyes of each subject at baseline, and at 3-, 6-, and 12-month follow-up examinations using a time-domain OCT. At each visit, we additionally recorded full-field visual evoked potential (VEP) responses and performed the paced auditory serial addition test (PASAT), in addition to expanded disability status scale (EDSS) scoring. Generalized estimation equation (GEE) was used to account for repeated measurements and paired-data. The model-based approach predicted a monthly reduction in the RNFL thickness by 0.19 µm in the eyes of the MS subjects. The reduction was estimated to be 0.17 µm in case of IFNβ-treatment and 0.16 µm in case of no treatment. Treatment duration and group allocation were not significantly associated with the RNFL thickness. Inclusion of further longitudinal data (EDSS, two and three second PASAT) in each of our models did not result in any significant association. In summary, over a period of one year no significant association between IFNβ-1b treatment and RNFL thinning was identified in patients with MS.
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Affiliation(s)
- Refik Pul
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
| | - Mehdi Saadat
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
| | - Franco Morbiducci
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
| | - Thomas Skripuletz
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
| | - Ünsal Pul
- Department of Thoracic and Cardiovascular Surgery, University Hospital Essen, 45147 Essen, Germany
| | - Dorothee Brockmann
- Department of Ophthalmology, Hannover Medical School, 30625 Hannover, Germany
| | - Kurt-Wolfram Sühs
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
| | | | - Kai Günter Kahl
- Department of Psychiatry, Hannover Medical School, 30625 Hannover, Germany
| | - Kaweh Pars
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
| | - Martin Stangel
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
| | - Corinna Trebst
- Department of Neurology, Hannover Medical School, 30625 Hannover, Germany
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94
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Zivadinov R, Hojnacki D, Bergsland N, Kennedy C, Hagemeier J, Melia R, Ramasamy DP, Durfee J, Carl E, Dwyer MG, Weinstock-Guttman B. Effect of natalizumab on brain atrophy and disability progression in multiple sclerosis patients over 5 years. Eur J Neurol 2016; 23:1101-9. [DOI: 10.1111/ene.12992] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Accepted: 02/02/2016] [Indexed: 01/21/2023]
Affiliation(s)
- R. Zivadinov
- Department of Neurology; Buffalo Neuroimaging Analysis Center; University at Buffalo; State University of New York; Buffalo NY USA
- MR Imaging Clinical Translational Research Center; School of Medicine and Biomedical Sciences; University at Buffalo; State University of New York; Buffalo NY USA
| | - D. Hojnacki
- Jacobs MS Center; Department of Neurology; University at Buffalo; State University of New York; Buffalo NY USA
| | - N. Bergsland
- Department of Neurology; Buffalo Neuroimaging Analysis Center; University at Buffalo; State University of New York; Buffalo NY USA
- Magnetic Resonance Laboratory; IRCCS Don Gnocchi Foundation; Milan Italy
| | - C. Kennedy
- Department of Neurology; Buffalo Neuroimaging Analysis Center; University at Buffalo; State University of New York; Buffalo NY USA
| | - J. Hagemeier
- Department of Neurology; Buffalo Neuroimaging Analysis Center; University at Buffalo; State University of New York; Buffalo NY USA
| | - R. Melia
- Department of Neurology; Buffalo Neuroimaging Analysis Center; University at Buffalo; State University of New York; Buffalo NY USA
| | - D. P. Ramasamy
- Department of Neurology; Buffalo Neuroimaging Analysis Center; University at Buffalo; State University of New York; Buffalo NY USA
| | - J. Durfee
- Department of Neurology; Buffalo Neuroimaging Analysis Center; University at Buffalo; State University of New York; Buffalo NY USA
| | - E. Carl
- Department of Neurology; Buffalo Neuroimaging Analysis Center; University at Buffalo; State University of New York; Buffalo NY USA
| | - M. G. Dwyer
- Department of Neurology; Buffalo Neuroimaging Analysis Center; University at Buffalo; State University of New York; Buffalo NY USA
| | - B. Weinstock-Guttman
- Jacobs MS Center; Department of Neurology; University at Buffalo; State University of New York; Buffalo NY USA
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95
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Vidal-Jordana A, Sastre-Garriga J, Pérez-Miralles F, Pareto D, Rio J, Auger C, Tintoré M, Rovira A, Montalban X. Brain Volume Loss During the First Year of Interferon-Beta Treatment in Multiple Sclerosis: Baseline Inflammation and Regional Brain Volume Dynamics. J Neuroimaging 2016; 26:532-8. [DOI: 10.1111/jon.12337] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 01/10/2016] [Accepted: 01/12/2016] [Indexed: 11/28/2022] Open
Affiliation(s)
- Angela Vidal-Jordana
- Department of Neurology-Neuroimmunology and Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron; Universitat Autònoma de Barcelona; Barcelona Spain
| | - Jaume Sastre-Garriga
- Department of Neurology-Neuroimmunology and Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron; Universitat Autònoma de Barcelona; Barcelona Spain
| | - Francisco Pérez-Miralles
- Department of Neurology-Neuroimmunology and Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron; Universitat Autònoma de Barcelona; Barcelona Spain
| | - Deborah Pareto
- Magnetic Resonance Unit, Radiology Department, Hospital Universitari Vall d'Hebron; Universitat Autònoma de Barcelona; Barcelona Spain
| | - Jordi Rio
- Department of Neurology-Neuroimmunology and Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron; Universitat Autònoma de Barcelona; Barcelona Spain
| | - Cristina Auger
- Magnetic Resonance Unit, Radiology Department, Hospital Universitari Vall d'Hebron; Universitat Autònoma de Barcelona; Barcelona Spain
| | - Mar Tintoré
- Department of Neurology-Neuroimmunology and Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron; Universitat Autònoma de Barcelona; Barcelona Spain
| | - Alex Rovira
- Magnetic Resonance Unit, Radiology Department, Hospital Universitari Vall d'Hebron; Universitat Autònoma de Barcelona; Barcelona Spain
| | - Xavier Montalban
- Department of Neurology-Neuroimmunology and Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron; Universitat Autònoma de Barcelona; Barcelona Spain
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96
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What you cannot get from routine MRI of MS patient and why – The growing need for atrophy assessment and seeing beyond the plaque. Neurol Neurochir Pol 2016; 50:123-30. [DOI: 10.1016/j.pjnns.2016.01.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2015] [Revised: 01/09/2016] [Accepted: 01/13/2016] [Indexed: 11/23/2022]
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97
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Zivadinov R, Uher T, Hagemeier J, Vaneckova M, Ramasamy DP, Tyblova M, Bergsland N, Seidl Z, Dwyer MG, Krasensky J, Havrdova E, Horakova D. A serial 10-year follow-up study of brain atrophy and disability progression in RRMS patients. Mult Scler 2016; 22:1709-1718. [PMID: 26883943 DOI: 10.1177/1352458516629769] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Accepted: 01/07/2016] [Indexed: 01/22/2023]
Abstract
BACKGROUND We explored the evolution of brain atrophy in relation to development of confirmed disability progression (CDP) on serial 1.5T magnetic resonance imaging (MRI) scans over a 10-year period in 181 patients with early relapsing-remitting multiple sclerosis (RRMS). METHODS At 10-year follow-up, they were divided into those with (100) or without (76) CDP (confirmed after 48 weeks). Changes in whole brain (WB), cortical, gray matter (GM), white matter, and ventricular cerebrospinal fluid (vCSF) volumes were calculated on three-dimensional T1-weighted (3D-T1) scans between all available time points. RESULTS In multiple sclerosis (MS) patients with CDP compared to those without, the greatest effect size percentage volume change from baseline to follow-up was detected for WB (d = 0.55, -7.5% vs -5.2%, p < 0.001), followed by vCSF (d = 0.51, +41.1% vs +25.7%, p < 0.001), cortical (d = 0.49, -7.7% vs -6.2%, p = 0.001), and GM (d = 0.40, -7.1% vs -5.8%, p = 0.006) volumes. Mixed-effects model analysis, adjusted for age, sex, and treatment change, showed significant interactions between CDP status and percentage changes for WB and vCSF (p < 0.001), cortical (p = 0.02), and GM (p = 0.04) volumes. CONCLUSIONS WB and cortical atrophy, and enlargement of vCSF spaces are associated with development of CDP on serial yearly MRI assessments over a period of 10 years.
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Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA/MR Imaging Clinical Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Tomas Uher
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA/Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Deepa P Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Michaela Tyblova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA/IRCCS "S. Maria Nascente," Don Carlo Gnocchi Foundation, Milan, Italy
| | - Zdenek Seidl
- Department of Radiology, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Jan Krasensky
- Department of Radiology, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University in Prague, Prague, Czech Republic
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98
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Ziemssen T, Derfuss T, de Stefano N, Giovannoni G, Palavra F, Tomic D, Vollmer T, Schippling S. Optimizing treatment success in multiple sclerosis. J Neurol 2015; 263:1053-65. [PMID: 26705122 PMCID: PMC4893374 DOI: 10.1007/s00415-015-7986-y] [Citation(s) in RCA: 129] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2015] [Accepted: 11/25/2015] [Indexed: 01/01/2023]
Abstract
Despite important advances in the treatment of multiple sclerosis (MS) over recent years, the introduction of several disease-modifying therapies (DMTs), the burden of progressive disability and premature mortality associated with the condition remains substantial. This burden, together with the high healthcare and societal costs associated with MS, creates a compelling case for early treatment optimization with highly efficacious therapies. Often, patients receive several first-line therapies, while more recent and in part more effective treatments are still being introduced only after these have failed. However, with the availability of highly efficacious therapies, a novel treatment strategy has emerged, where the aim is to achieve no evidence of disease activity (NEDA). Achieving NEDA necessitates regular monitoring of relapses, disability and functionality. However, there is only a poor correlation between conventional magnetic resonance imaging measures like T2 hyperintense lesion burden and the level of clinical disability. Hence, MRI-based measures of brain atrophy have emerged in recent years potentially reflecting the magnitude of MS-related neuroaxonal damage. Currently available DMTs differ markedly in their effects on brain atrophy: some, such as fingolimod, have been shown to significantly slow brain volume loss, compared to placebo, whereas others have shown either no, inconsistent, or delayed effects. In addition to regular monitoring, treatment optimization also requires early intervention with efficacious therapies, because accumulating evidence shows that effective intervention during a limited period early in the course of MS is critical for maintaining neurological function and preventing subsequent disability. Together, the advent of new MS therapies and evolving management strategies offer exciting new opportunities to optimize treatment outcomes.
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Affiliation(s)
- Tjalf Ziemssen
- MS Center Dresden, Center of Clinical Neuroscience, Neurological Clinic, University Hospital Carl Gustav Carus, Dresden University of Technology, Fetscherstrasse 74, 01307, Dresden, Germany.
| | - Tobias Derfuss
- MS Center Dresden, Center of Clinical Neuroscience, Neurological Clinic, University Hospital Carl Gustav Carus, Dresden University of Technology, Fetscherstrasse 74, 01307, Dresden, Germany
| | - Nicola de Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Gavin Giovannoni
- Queen Mary University London, Barts and The London School of Medicine and Dentistry, London, UK
| | - Filipe Palavra
- Neurology-Neuroimmunology Department, Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d'Hebron University Hospital, Barcelona, Spain
| | | | - Tim Vollmer
- University of Colorado Health Sciences Center, Aurora, CO, USA
| | - Sven Schippling
- Department of Neurology, Neuroimmunology and Multiple Sclerosis Research, University Hospital Zurich, University of Zurich, Zurich, Switzerland
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99
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Voskuhl RR, Wang H, Wu TCJ, Sicotte NL, Nakamura K, Kurth F, Itoh N, Bardens J, Bernard JT, Corboy JR, Cross AH, Dhib-Jalbut S, Ford CC, Frohman EM, Giesser B, Jacobs D, Kasper LH, Lynch S, Parry G, Racke MK, Reder AT, Rose J, Wingerchuk DM, MacKenzie-Graham AJ, Arnold DL, Tseng CH, Elashoff R. Estriol combined with glatiramer acetate for women with relapsing-remitting multiple sclerosis: a randomised, placebo-controlled, phase 2 trial. Lancet Neurol 2015; 15:35-46. [PMID: 26621682 DOI: 10.1016/s1474-4422(15)00322-1] [Citation(s) in RCA: 136] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Revised: 10/09/2015] [Accepted: 10/28/2015] [Indexed: 02/07/2023]
Abstract
BACKGROUND Relapses of multiple sclerosis decrease during pregnancy, when the hormone estriol is increased. Estriol treatment is anti-inflammatory and neuroprotective in preclinical studies. In a small single-arm study of people with multiple sclerosis estriol reduced gadolinium-enhancing lesions and was favourably immunomodulatory. We assessed whether estriol treatment reduces multiple sclerosis relapses in women. METHODS We did a randomised, double-blind, placebo-controlled phase 2 trial at 16 academic neurology centres in the USA, between June 28, 2007, and Jan 9, 2014. Women aged 18-50 years with relapsing-remitting multiple sclerosis were randomly assigned (1:1) with a random permuted block design to either daily oral estriol (8 mg) or placebo, each in combination with injectable glatiramer acetate 20 mg daily. Patients and all study personnel, except for pharmacists and statisticians, were masked to treatment assignment. The primary endpoint was annualised relapse rate after 24 months, with a significance level of p=0.10. Relapses were confirmed by an increase in Expanded Disability Status Scale score assessed by an independent physician. Analysis was by intention to treat. The trial is registered with ClinicalTrials.gov, number NCT00451204. FINDINGS We enrolled 164 patients: 83 were allocated to the estriol group and 81 were allocated to the placebo group. The annualised confirmed relapse rate was 0.25 relapses per year (95% CI 0.17-0.37) in the estriol group versus 0.37 relapses per year (0.25-0.53) in the placebo group (adjusted rate ratio 0.63, 95% CI 0.37-1.05; p=0.077). The proportion of patients with serious adverse events did not differ substantially between the estriol group and the placebo group (eight [10%] of 82 patients vs ten [13%] of 76 patients). Irregular menses were more common in the estriol group than in the placebo group (19 [23%] vs three [4%], p=0.0005), but vaginal infections were less common (one [1%] vs eight [11%], p=0.0117). There were no differences in breast fibrocystic disease, uterine fibroids, or endometrial lining thickness as assessed by clinical examination, mammogram, uterine ultrasound, or endometrial lining biopsy. INTERPRETATION Estriol plus glatiramer acetate met our criteria for reducing relapse rates, and treatment was well tolerated over 24 months. These results warrant further investigation in a phase 3 trial. FUNDING National Institutes of Health, National Multiple Sclerosis Society, Conrad N Hilton Foundation, Jack H Skirball Foundation, Sherak Family Foundation, and the California Community Foundation.
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Affiliation(s)
- Rhonda R Voskuhl
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA.
| | - HeJing Wang
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
| | - T C Jackson Wu
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
| | | | | | - Florian Kurth
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
| | - Noriko Itoh
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
| | - Jenny Bardens
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
| | | | | | - Anne H Cross
- Washington University School of Medicine, St Louis, MO, USA
| | | | - Corey C Ford
- University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | | | - Barbara Giesser
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
| | - Dina Jacobs
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Lloyd H Kasper
- Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Sharon Lynch
- University of Kansas Medical Center, Kansas City, KS, USA
| | | | - Michael K Racke
- Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | | | - John Rose
- Salt Lake City VA Medical Center, Salt Lake City, UT, USA
| | | | - Allan J MacKenzie-Graham
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
| | | | - Chi Hong Tseng
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
| | - Robert Elashoff
- David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, USA
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100
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Dwyer MG, Zivadinov R, Tao Y, Zhang X, Kennedy C, Bergsland N, Ramasamy DP, Durfee J, Hojnacki D, Weinstock-Guttman B, Hayward B, Dangond F, Markovic-Plese S. Immunological and short-term brain volume changes in relapsing forms of multiple sclerosis treated with interferon beta-1a subcutaneously three times weekly: an open-label two-arm trial. BMC Neurol 2015; 15:232. [PMID: 26559139 PMCID: PMC4642690 DOI: 10.1186/s12883-015-0488-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Accepted: 10/31/2015] [Indexed: 12/23/2022] Open
Abstract
Background Brain volume atrophy is observed in relapsing–remitting multiple sclerosis (RRMS). Methods Brain volume changes were evaluated in 23 patients with RRMS treated with interferon β-1a 44 μg given subcutaneously (SC) three times a week (tiw) and 15 healthy controls. Percentages of whole brain and tissue-specific volume change were measured from baseline (0 months) to 3 months, from 3 to 6 months, and from baseline to 6 months using SIENAX Multi Time Point (SX-MTP) algorithms. Immunological status of patients was also determined and correlations between subsets of T cells and changes in brain volume were assessed. Results Interferon β-1a 44 μg SC tiw in 23 patients with RRMS resulted in significant reductions in whole brain and gray matter tissue volume early in the treatment course (baseline to 3 months; mean change; –0.95 %; P = 0.030, –1.52 %; P = 0.004, respectively), suggesting a short-term treatment-induced pseudoatrophy effect. From baseline to 6 months, there were significant correlations observed between decreased T- cell expression of IL-17 F and decreased whole brain and brain tissue-specific volume. Conclusions These findings are consistent with the interpretation of the pseudoatrophy effect as resolution of inflammation following treatment initiation with interferon β-1a 44 μg SC tiw, rather than disease-related tissue loss. Trial registration ClinicalTrials.gov; NCT01085318
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Affiliation(s)
- Michael G Dwyer
- Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York at Buffalo, 100 High St, Buffalo, NY, 14203, USA. .,Department of Biomedical Informatics, State University of New York at Buffalo, 100 High St, Buffalo, NY, 14203, USA.
| | - Robert Zivadinov
- Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York at Buffalo, 100 High St, Buffalo, NY, 14203, USA. .,Department of Neurology, State University of New York at Buffalo, 100 High St, Buffalo, NY, 14203, USA.
| | - Yazhong Tao
- Department of Neurology, Microbiology and Immunology, University of North Carolina at Chapel Hill, 125 Mason Farm Rd., 6109D Neuroscience Research Bldg, CB #7125, Chapel Hill, NC, 27599, USA.
| | - Xin Zhang
- Department of Neurology, Microbiology and Immunology, University of North Carolina at Chapel Hill, 125 Mason Farm Rd., 6109D Neuroscience Research Bldg, CB #7125, Chapel Hill, NC, 27599, USA.
| | - Cheryl Kennedy
- Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York at Buffalo, 100 High St, Buffalo, NY, 14203, USA.
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York at Buffalo, 100 High St, Buffalo, NY, 14203, USA.
| | - Deepa P Ramasamy
- Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York at Buffalo, 100 High St, Buffalo, NY, 14203, USA.
| | - Jackie Durfee
- Department of Neurology, Buffalo Neuroimaging Analysis Center, State University of New York at Buffalo, 100 High St, Buffalo, NY, 14203, USA.
| | - David Hojnacki
- Department of Neurology, State University of New York at Buffalo, 100 High St, Buffalo, NY, 14203, USA.
| | - Bianca Weinstock-Guttman
- Department of Neurology, State University of New York at Buffalo, 100 High St, Buffalo, NY, 14203, USA.
| | - Brooke Hayward
- EMD Serono, Inc., One Technology Pl, Rockland, MA, 02370, USA.
| | | | - Silva Markovic-Plese
- Department of Neurology, Microbiology and Immunology, University of North Carolina at Chapel Hill, 125 Mason Farm Rd., 6109D Neuroscience Research Bldg, CB #7125, Chapel Hill, NC, 27599, USA.
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