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Warszawer Y, Gurevich M, Kerpel A, Dreyer Alster S, Nissan Y, Shirbint E, Hoffmann C, Achiron A. Mapping brain volume change across time in primary-progressive multiple sclerosis. Neuroradiology 2024; 66:1189-1197. [PMID: 38609687 DOI: 10.1007/s00234-024-03354-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/05/2024] [Indexed: 04/14/2024]
Abstract
PURPOSE Detection and prediction of the rate of brain volume loss with age is a significant unmet need in patients with primary progressive multiple sclerosis (PPMS). In this study we construct detailed brain volume maps for PPMS patients. These maps compare age-related changes in both cortical and sub-cortical regions with those in healthy individuals. METHODS We conducted retrospective analyses of brain volume using T1-weighted Magnetic Resonance Imaging (MRI) scans of a large cohort of PPMS patients and healthy subjects. The volume of brain parenchyma (BP), cortex, white matter (WM), deep gray matter, thalamus, and cerebellum were measured using the robust SynthSeg segmentation tool. Age- and gender-related regression curves were constructed based on data from healthy subjects, with the 95% prediction interval adopted as the normality threshold for each brain region. RESULTS We analyzed 495 MRI scans from 169 PPMS patients, aged 20-79 years, alongside 563 exams from healthy subjects aged 20-86. Compared to healthy subjects, a higher proportion of PPMS patients showed lower than expected brain volumes in all regions except the cerebellum. The most affected areas were BP, WM, and thalamus. Lower brain volumes correlated with longer disease duration for BP and WM, and higher disability for BP, WM, cortex, and thalamus. CONCLUSIONS Constructing age- and gender-related brain volume maps enabled identifying PPMS patients at a higher risk of brain volume loss. Monitoring these high-risk patients may lead to better treatment decisions and improve patient outcomes.
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Affiliation(s)
- Yehuda Warszawer
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel.
- Arrow Program for Medical Research Education, Sheba Medical Center, Ramat-Gan, Israel.
- Adelson School of Medicine, Ariel University, Ariel, Israel.
| | - Michael Gurevich
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Ariel Kerpel
- Department of Radiology, Sheba Medical Center, Ramat-Gan, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | | | - Yael Nissan
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel
| | - Emanuel Shirbint
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel
| | - Chen Hoffmann
- Department of Radiology, Sheba Medical Center, Ramat-Gan, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Anat Achiron
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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OUP accepted manuscript. Arch Clin Neuropsychol 2022; 37:891-903. [DOI: 10.1093/arclin/acac012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/05/2022] [Indexed: 11/12/2022] Open
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3
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Tutuncu M, Altintas A, Dogan BV, Uygunoglu U, Kale Icen N, Deniz Elmalı A, Coban E, Alpaslan BG, Soysal A. The use of Modified Rio score for determining treatment failure in patients with multiple sclerosis: retrospective descriptive case series study. Acta Neurol Belg 2021; 121:1693-1698. [PMID: 32865702 DOI: 10.1007/s13760-020-01476-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 08/17/2020] [Indexed: 11/29/2022]
Abstract
Predicting treatment failure and switching effective treatment immediately in patients with multiple sclerosis (MS) is important. We aimed to evaluate the usefulness of Modified Rio score (MRS) in predicting treatment failure in MS patients. This is a retrospective study, which was conducted in two University Hospital. 129 MS patients treated with İnterferon or glatiramer-acetate from 2 clinical sites, were retrospectively selected. MRS was calculated after the first year of therapy. Treatment failure was defined as the presence of a 1 point increase in EDSS, 2 clinical attacks, 1 clinical attack and progression, 1 clinical attack and new lesion on MRI except associated with an attack, or new lesion in 2 different MRI taken at least 3 months apart. The sensitivity, specificity, positive and negative predictive values of the MRS in predicting treatment failure were determined. 71 (55%) patients with score '0', 41 (31.8%) patients with score '1', 11 (8.5%) patients with score '2', 6 (4.7%) patients with score '3' were detected. 14 patients needed treatment switching during the first three years of the treatment. Sensitivity was 57%, specificity was 92%, positive predictive value was 95%, negative predictive value was 47% and accuracy was 89%. Modified Rio score (MRS) was found to be effective in determining the treatment failure as mentioned before. This study will be useful for clinicians who evaluate the treatment failure like us, and this study revealed that the MRS may also help predict treatment failure.
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Affiliation(s)
- Mesude Tutuncu
- Bakirkoy Prof. Dr. Mazhar Osman Training and Research Hospital for Psychiatry and Neurological Disorders, Zuhuratbaba Mah. Bakirkoy Ruh Sağlığı Ve Sinir Hastalıkları Hastanesi, bitam binasıi 3, Noroloji kliniği Bakirkoy, 34147, Istanbul, Turkey.
| | - Ayse Altintas
- Koc University Medical School, Topkapı, Koç Üniversitesi Hastanesi, Davutpaşa Cd. No:4, 34010 Zeytinburnu/İstanbul, 34200, Istanbul, Turkey
| | - Burcu V Dogan
- Bakirkoy Prof. Dr. Mazhar Osman Training and Research Hospital for Psychiatry and Neurological Disorders, Zuhuratbaba Mah. Bakirkoy Ruh Sağlığı Ve Sinir Hastalıkları Hastanesi, bitam binasıi 3, Noroloji kliniği Bakirkoy, 34147, Istanbul, Turkey
| | - Ugur Uygunoglu
- Cerrahpasa School of Medicine, Cerrahpasa mahallesi, Kocamustafapasa cad. No: 34/E Noroloji Klinigi Fatih, 34200, Istanbul, Turkey
| | - Nilufer Kale Icen
- Bagcilar Research and Tarining Hospital, Merkezmah. Dr. Sadık Ahmet Cad. Bagcılar, 34100, Istanbul, Turkey
| | - Ayse Deniz Elmalı
- Neurology Department, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Eda Coban
- Bakirkoy Prof. Dr. Mazhar Osman Training and Research Hospital for Psychiatry and Neurological Disorders, Zuhuratbaba Mah. Bakirkoy Ruh Sağlığı Ve Sinir Hastalıkları Hastanesi, bitam binasıi 3, Noroloji kliniği Bakirkoy, 34147, Istanbul, Turkey
| | - Bengi G Alpaslan
- Cerrahpasa School of Medicine, Cerrahpasa mahallesi, Kocamustafapasa cad. No: 34/E Noroloji Klinigi Fatih, 34200, Istanbul, Turkey
| | - Aysun Soysal
- Bakirkoy Prof. Dr. Mazhar Osman Training and Research Hospital for Psychiatry and Neurological Disorders, Zuhuratbaba Mah. Bakirkoy Ruh Sağlığı Ve Sinir Hastalıkları Hastanesi, bitam binasıi 3, Noroloji kliniği Bakirkoy, 34147, Istanbul, Turkey
- Neurology Department, Bakirkoy Prof. Dr. Mazhar Osman Training and Research Hospital for Psychiatry and Neurological Disorders, Zuhuratbaba mah. Bitam Binası, doktor odası. Bakirkoy, Istanbul, Turkey
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4
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Filippi M, Preziosa P, Barkhof F, Chard DT, De Stefano N, Fox RJ, Gasperini C, Kappos L, Montalban X, Moraal B, Reich DS, Rovira À, Toosy AT, Traboulsee A, Weinshenker BG, Zeydan B, Banwell BL, Rocca MA. Diagnosis of Progressive Multiple Sclerosis From the Imaging Perspective: A Review. JAMA Neurol 2021; 78:351-364. [PMID: 33315071 DOI: 10.1001/jamaneurol.2020.4689] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Importance Although magnetic resonance imaging (MRI) is useful for monitoring disease dissemination in space and over time and excluding multiple sclerosis (MS) mimics, there has been less application of MRI to progressive MS, including diagnosing primary progressive (PP) MS and identifying patients with relapsing-remitting (RR) MS who are at risk of developing secondary progressive (SP) MS. This review addresses clinical application of MRI for both diagnosis and prognosis of progressive MS. Observations Although nonspecific, some spinal cord imaging features (diffuse abnormalities and lesions involving gray matter [GM] and ≥2 white matter columns) are typical of PPMS. In patients with PPMS and those with relapse-onset MS, location of lesions in critical central nervous system regions (spinal cord, infratentorial regions, and GM) and MRI-detected high inflammatory activity in the first years after diagnosis are risk factors for long-term disability and future progressive disease course. These measures are evaluable in clinical practice. In patients with established MS, GM involvement and neurodegeneration are associated with accelerated clinical worsening. Subpial demyelination and slowly expanding lesions are novel indicators of progressive MS. Conclusions and Relevance Diagnosis of PPMS is more challenging than diagnosis of RRMS. No qualitative clinical, immunological, histopathological, or neuroimaging features differentiate PPMS and SPMS; both are characterized by imaging findings reflecting neurodegeneration and are also impacted by aging and comorbidities. Unmet diagnostic needs include identification of MRI markers capable of distinguishing PPMS from RRMS and predicting the evolution of RRMS to SPMS. Integration of multiple parameters will likely be essential to achieve these aims.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Istituto di Ricovero e di Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Istituto di Ricovero e di Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location VU University Medical Center (VUmc), Multiple Sclerosis Center Amsterdam, Amsterdam, the Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London, London, United Kingdom
| | - Declan T Chard
- Nuclear Magnetic Resonance (NMR) Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, London, United Kingdom
- National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, United Kingdom
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Robert J Fox
- Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, Ohio
| | - Claudio Gasperini
- Department of Neurology, San Camillo-Forlanini Hospital, Rome, Italy
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital and University of Basel, Basel, Switzerland
| | - Xavier Montalban
- Department of Neurology, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Vall d'Hebron, Autonomous University of Barcelona, Barcelona, Spain
- Division of Neurology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Bastiaan Moraal
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location VU University Medical Center (VUmc), Multiple Sclerosis Center Amsterdam, Amsterdam, the Netherlands
| | - Daniel S Reich
- Translational Neuroradiology Section, Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland
| | - Àlex Rovira
- Neuroradiology Section, Department of Radiology (IDI), Vall d'Hebron University Hospital and Research Institute (VHIR), Autonomous University of Barcelona, Barcelona, Spain
| | - Ahmed T Toosy
- Nuclear Magnetic Resonance (NMR) Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, London, United Kingdom
| | - Anthony Traboulsee
- MS/Magnetic Resonance Imaging (MRI) Research Group, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
- Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Burcu Zeydan
- Department of Neurology, Mayo Clinic, Rochester, Minnesota
- Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Brenda L Banwell
- Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Neurology and Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Istituto di Ricovero e di Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
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Marrodan M, Gaitán MI, Correale J. Spinal Cord Involvement in MS and Other Demyelinating Diseases. Biomedicines 2020; 8:E130. [PMID: 32455910 PMCID: PMC7277673 DOI: 10.3390/biomedicines8050130] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 05/18/2020] [Accepted: 05/20/2020] [Indexed: 12/13/2022] Open
Abstract
Diagnostic accuracy is poor in demyelinating myelopathies, and therefore a challenge for neurologists in daily practice, mainly because of the multiple underlying pathophysiologic mechanisms involved in each subtype. A systematic diagnostic approach combining data from the clinical setting and presentation with magnetic resonance imaging (MRI) lesion patterns, cerebrospinal fluid (CSF) findings, and autoantibody markers can help to better distinguish between subtypes. In this review, we describe spinal cord involvement, and summarize clinical findings, MRI and diagnostic characteristics, as well as treatment options and prognostic implications in different demyelinating disorders including: multiple sclerosis (MS), neuromyelitis optica spectrum disorder, acute disseminated encephalomyelitis, anti-myelin oligodendrocyte glycoprotein antibody-associated disease, and glial fibrillary acidic protein IgG-associated disease. Thorough understanding of individual case etiology is crucial, not only to provide valuable prognostic information on whether the disorder is likely to relapse, but also to make therapeutic decision-making easier and reduce treatment failures which may lead to new relapses and long-term disability. Identifying patients with monophasic disease who may only require acute management, symptomatic treatment, and subsequent rehabilitation, rather than immunosuppression, is also important.
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Affiliation(s)
| | | | - Jorge Correale
- Neurology Department, Fleni, C1428AQK Buenos Aires, Argentina; (M.M.); (M.I.G.)
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6
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Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. Neuroimage 2019; 209:116489. [PMID: 31877375 DOI: 10.1016/j.neuroimage.2019.116489] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 12/18/2019] [Accepted: 12/21/2019] [Indexed: 12/18/2022] Open
Abstract
Spinal cord atrophy measurements obtained from structural magnetic resonance imaging (MRI) are associated with disability in many neurological diseases and serve as in vivo biomarkers of neurodegeneration. Longitudinal spinal cord atrophy rate is commonly determined from the numerical difference between two volumes (based on 3D surface fitting) or two cross-sectional areas (CSA, based on 2D edge detection) obtained at different time-points. Being an indirect measure, atrophy rates are susceptible to variable segmentation errors at the edge of the spinal cord. To overcome those limitations, we developed a new registration-based pipeline that measures atrophy rates directly. We based our approach on the generalised boundary shift integral (GBSI) method, which registers 2 scans and uses a probabilistic XOR mask over the edge of the spinal cord, thereby measuring atrophy more accurately than segmentation-based techniques. Using a large cohort of longitudinal spinal cord images (610 subjects with multiple sclerosis from a multi-centre trial and 52 healthy controls), we demonstrated that GBSI is a sensitive, quantitative and objective measure of longitudinal spinal cord volume change. The GBSI pipeline is repeatable, reproducible, and provides more precise measurements of longitudinal spinal cord atrophy than segmentation-based methods in longitudinal spinal cord atrophy studies.
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7
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Gajofatto A, Nourbakhsh B, Benedetti MD, Waubant E. Performance of 2010 McDonald criteria and 2016 MAGNIMS guidelines in the diagnosis of primary progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 2018; 89:550-552. [PMID: 28939685 DOI: 10.1136/jnnp-2017-316911] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 08/27/2017] [Accepted: 08/30/2017] [Indexed: 11/04/2022]
Affiliation(s)
- Alberto Gajofatto
- Department of Neuroscience, Biomedicine, and Movement Sciences, University of Verona, Verona, Italy
| | - Bardia Nourbakhsh
- Department of Neurology, The Johns Hopkins Hospital, Baltimore, Maryland, USA
| | - Maria Donata Benedetti
- Department of Neuroscience, Biomedicine, and Movement Sciences, University of Verona, Verona, Italy
| | - Emmanuelle Waubant
- Department of Neurology, University of California, San Francisco, California, USA
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8
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Bryukhov VV, Krotenkova IA, Morozova SN, Krotenkova MV. [A current view on the MRI diagnosis of multiple sclerosis: an update of 2016 revised MRI criteria]. Zh Nevrol Psikhiatr Im S S Korsakova 2017; 117:66-73. [PMID: 28617364 DOI: 10.17116/jnevro20171172266-73] [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] [Indexed: 11/18/2022]
Abstract
Magnetic resonance imaging (MRI) is the primary method for confirming the clinical diagnosis of multiple sclerosis (MS). The article presents the current data on using MRI of the brain and spinal cord for diagnosis in suspected MS. Special attention is paid to the MRI criteria of McDonald and MAGNIMS for relapsing-remitting MS (RRMS) and primary-progressive MS (PPMS) in the latest revisions of 2010 and 2016. The information provided can help radiologists and neurologists to optimize the use of MRI in clinical practice for diagnosis of MS.
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9
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Disease modifying treatments and symptomatic drugs for cognitive impairment in multiple sclerosis: where do we stand? ACTA ACUST UNITED AC 2017. [DOI: 10.1186/s40893-017-0025-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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10
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Abstract
The diagnosis of multiple sclerosis is based on neurological symptoms and signs, alongside evidence of dissemination of CNS lesions in space and time. MRI is often sufficient to confirm the diagnosis when characteristic lesions accompany a typical clinical syndrome, but in some patients, further supportive information is obtained from cerebrospinal fluid examination and neurophysiological testing. Differentiation is important from other diseases in which demyelination is a feature (eg, neuromyelitis optica spectrum disorder and acute disseminated encephalomyelitis) and from non-demyelinating disorders such as chronic small vessel disease and other inflammatory, granulomatous, infective, metabolic, and genetic causes that can mimic multiple sclerosis. Advances in MRI and serological and genetic testing have greatly increased accuracy in distinguishing multiple sclerosis from these disorders, but misdiagnosis can occur. In this Series paper we explore the progress and challenges in the diagnosis of multiple sclerosis with reference to diagnostic criteria, important differential diagnoses, controversies and uncertainties, and future prospects.
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Affiliation(s)
- Wallace J Brownlee
- Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UK.
| | - Todd A Hardy
- Neuroimmunology Clinic, Concord Hospital and Brain & Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - David H Miller
- Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UK; National Institute for Health Research University College London Hospitals Biomedical Research Centre, London, UK
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11
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Dobryakova E, Rocca MA, Valsasina P, DeLuca J, Filippi M. Altered neural mechanisms of cognitive control in patients with primary progressive multiple sclerosis: An effective connectivity study. Hum Brain Mapp 2017; 38:2580-2588. [PMID: 28205364 DOI: 10.1002/hbm.23542] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 01/16/2017] [Accepted: 02/08/2017] [Indexed: 11/10/2022] Open
Abstract
Primary progressive multiple sclerosis (PPMS) leads to physical and cognitive disability. Specifically, cognitive deficits in PPMS have been explained by both grey matter atrophy and white matter lesions. However, existing research still lacks in the understanding of how the brain of a patient with PPMS functions under cognitive control demands. Thus, the aim of the current study was to examine information integration in patients with PPMS using a search-based effective connectivity method. Fourteen patients with PPMS and 22 age- and gender-matched healthy controls (HC) performed the Stroop task, a cognitively demanding interference task that taxes neural resources required for cognitive control and response inhibition. Results showed that compared to HC, PPMS patients exhibited poor behavioral performance and alterations in information flow, manifested in the form of the loss of top-down connections, reversal of connections, and hyperconnectivity. Significant correlations were observed between connection strengths and behavioral measures. The connection between the posterior parietal cortex (PCC) and left posterior parietal lobule, which was present in both groups, showed a negative correlation with performance accuracy on incongruent trials. The connection between the left dorsolateral prefrontal cortex and PCC showed a positive correlation with performance accuracy on incongruent trials. However, the adaptive nature of this connection was not significant on a behavioral level as the PPMS group performed significantly worse compared to the HC group during the Stroop task. Thus, the current study provides important evidence about effective connectivity patterns that can be characterized as maladaptive cerebral re-organization in the PPMS brain. Hum Brain Mapp 38:2580-2588, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Ekaterina Dobryakova
- Neuroimaging Research Unit, Vita-Salute San Raffaele University, Milan, Italy.,Traumatic Brain Injury Research, Kessler Foundation, West Orange, New Jersey
| | - Maria Assunta Rocca
- Neuroimaging Research Unit, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Paola Valsasina
- Neuroimaging Research Unit, Vita-Salute San Raffaele University, Milan, Italy
| | - John DeLuca
- Traumatic Brain Injury Research, Kessler Foundation, West Orange, New Jersey.,Department of Physical Medicine and Rehabilitation, Rutgers, New Jersey Medical School, Newark, New Jersey
| | - Massimo Filippi
- Neuroimaging Research Unit, Vita-Salute San Raffaele University, Milan, Italy.,Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
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12
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Popova EV, Bryukhov VV, Boyko AN, Krotenkova MV. [Primary-progressive multiple sclerosis as an atypical demyelinating process]. Zh Nevrol Psikhiatr Im S S Korsakova 2017; 116:42-46. [PMID: 28139610 DOI: 10.17116/jnevro201611610242-46] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This article presents an overview of current data on primary-progressive multiple sclerosis (MS). In this aspect, the authors consider its characteristics in comparison to other MS forms as well as possible markers of the disease, criteria of diagnosis and therapeutic options in the present and the future times.
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Affiliation(s)
- E V Popova
- Interregional Department of Multiple Sclerosis at Moscow Clinical Hospital #24, Moscow, Russia; Pirogov Russian National Research Medical University, Moscow, Russia
| | | | - A N Boyko
- Interregional Department of Multiple Sclerosis at Moscow Clinical Hospital #24, Moscow, Russia; Pirogov Russian National Research Medical University, Moscow, Russia
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13
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Leary S, Giovannoni G, Howard R, Miller D, Thompson A. Multiple Sclerosis and Demyelinating Diseases. Neurology 2016. [DOI: 10.1002/9781118486160.ch11] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
| | | | | | | | - Alan Thompson
- National Hospital for Neurology & Neurosurgery
- UCL Institute of Neurology
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14
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MRI criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines. Lancet Neurol 2016; 15:292-303. [PMID: 26822746 PMCID: PMC4760851 DOI: 10.1016/s1474-4422(15)00393-2] [Citation(s) in RCA: 519] [Impact Index Per Article: 64.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Revised: 12/02/2015] [Accepted: 12/10/2015] [Indexed: 01/15/2023]
Abstract
In patients presenting with a clinically isolated syndrome, MRI can support and substitute clinical information in the diagnosis of multiple sclerosis by showing disease dissemination in space and time and by helping to exclude disorders that can mimic multiple sclerosis. MRI criteria were first included in the diagnostic work-up for multiple sclerosis in 2001, and since then several modifications to the criteria have been proposed in an attempt to simplify lesion-count models for showing disease dissemination in space, change the timing of MRI scanning to show dissemination in time, and increase the value of spinal cord imaging. Since the last update of these criteria, new data on the use of MRI to establish dissemination in space and time have become available, and MRI technology has improved. State-of-the-art MRI findings in these patients were discussed in a MAGNIMS workshop, the goal of which was to provide an evidence-based and expert-opinion consensus on proposed modifications to MRI criteria for the diagnosis of multiple sclerosis.
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15
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Rovira À, Wattjes MP, Tintoré M, Tur C, Yousry TA, Sormani MP, De Stefano N, Filippi M, Auger C, Rocca MA, Barkhof F, Fazekas F, Kappos L, Polman C, Miller D, Montalban X. Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis-clinical implementation in the diagnostic process. Nat Rev Neurol 2015; 11:471-82. [PMID: 26149978 DOI: 10.1038/nrneurol.2015.106] [Citation(s) in RCA: 302] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The clinical use of MRI in patients with multiple sclerosis (MS) has advanced markedly over the past few years. Technical improvements and continuously emerging data from clinical trials and observational studies have contributed to the enhanced performance of this tool for achieving a prompt diagnosis in patients with MS. The aim of this article is to provide guidelines for the implementation of MRI of the brain and spinal cord in the diagnosis of patients who are suspected of having MS. These guidelines are based on an extensive review of the recent literature, as well as on the personal experience of the members of the MAGNIMS (Magnetic Resonance Imaging in MS) network. We address the indications, timing, coverage, reporting and interpretation of MRI studies in patients with suspected MS. Our recommendations are intended to help radiologists and neurologists standardize and optimize the use of MRI in clinical practice for the diagnosis of MS.
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Affiliation(s)
- Àlex Rovira
- Magnetic Resonance Unit, Cemcat, Hospital Vall d'Hebron, Autonomous University of Barcelona, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Mike P Wattjes
- MS Centre Amsterdam, VU University Medical Centre, Netherlands
| | - Mar Tintoré
- Neurology/Neuroimmunology Unit, Cemcat, Hospital Vall d'Hebron, Autonomous University of Barcelona, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Carmen Tur
- Neurology/Neuroimmunology Unit, Cemcat, Hospital Vall d'Hebron, Autonomous University of Barcelona, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Tarek A Yousry
- Lysholm Department of Neuroradiology, UCLH National Hospital for Neurology and Neurosurgery, University College London Institute of Neurology, UK
| | - Maria P Sormani
- Biostatistics Unit, Department of Health Sciences, University of Genoa, Italy
| | - Nicola De Stefano
- Department of Neurological and Behavioural Sciences, University of Siena, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Italy
| | - Cristina Auger
- Magnetic Resonance Unit, Cemcat, Hospital Vall d'Hebron, Autonomous University of Barcelona, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Italy
| | | | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Austria
| | - Ludwig Kappos
- Department of Neurology, University of Basel, Switzerland
| | - Chris Polman
- MS Centre Amsterdam, VU University Medical Centre, Netherlands
| | - David Miller
- NMR Research Unit, Queen Square MS Centre, University College London Institute of Neurology, UK
| | - Xavier Montalban
- Magnetic Resonance Unit, Cemcat, Hospital Vall d'Hebron, Autonomous University of Barcelona, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain
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Tur C, Montalban X. Possible new modifications for the McDonald 2010 criteria for the diagnosis of primary progressive multiple sclerosis. Mult Scler 2013; 19:993-4. [PMID: 23818017 DOI: 10.1177/1352458513493036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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17
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Klotz L, Gold R, Hemmer B, Korn T, Zipp F, Hohlfeld R, Kieseier BC, Wiendl H. [Diagnosis of multiple sclerosis 2010 revision of the McDonald criteria]. DER NERVENARZT 2012; 82:1302-9. [PMID: 21681517 DOI: 10.1007/s00115-011-3283-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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18
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Zéphir H, Bodiguel E, Bensa C, Blanc F, Laplaud D, Magy L, Ouallet JC, De Seze J, Brassat D. Recommendations for a definition of multiple sclerosis in support of early treatment. Rev Neurol (Paris) 2012; 168:328-37. [DOI: 10.1016/j.neurol.2011.12.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2011] [Accepted: 12/20/2011] [Indexed: 10/28/2022]
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Lechner-Scott J, Spencer B, de Malmanche T, Attia J, Fitzgerald M, Trojano M, Grand'Maison F, Gomez JAC, Izquierdo G, Duquette P, Girard M, Grammond P, Oreja-Guevara C, Hupperts R, Bergamaschi R, Boz C, Giuliani G, van Pesch V, Iuliano G, Fiol M, Cristiano E, Verheul F, Saladino ML, Slee M, Barnett M, Deri N, Flechter S, Vella N, Shaw C, Herbert J, Moore F, Petkovska-Boskova T, Jokubaitis V, Butzkueven H. The frequency of CSF oligoclonal banding in multiple sclerosis increases with latitude. Mult Scler 2011; 18:974-82. [PMID: 22185806 DOI: 10.1177/1352458511431729] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND With the advent of MRI scanning, the value of lumbar puncture to assess oligoclonal band (OCB) status-for the diagnosis of multiple sclerosis (MS) is increasingly uncertain. One major issue is that the reported frequency of cerebrospinal fluid (CSF)-restricted oligoclonal banding for the diagnosis of MS varies considerably in different studies. In addition, the relationship between OCB positivity and disease outcome remains uncertain, as reported studies are generally too small to assess comparative disability outcomes with sufficient power. METHODS In order to further investigate variation of OCB positivity in patients with MS, we utilized MSBase, a longitudinal, Web-based collaborative MS outcomes registry following clinical cohorts in several continents and latitudes. We also assessed whether OCB positivity affects long-term disability outcome. RESULTS A total of 13,242 patient records were obtained from 37 MS specialist centres in 19 different countries. OCB status was documented in 4481 (34%) patients and 80% of these were OCB positive. The presence of OCB was associated with degree of latitude (p = 0.02). Furthermore, the outcome of patients negative for CSF-specific OCB was significantly better in comparison to the OCB positive patients, as assessed by Expanded Disability Status Scale change (p < 0.001). CONCLUSIONS The results of this study indicate that latitude could explain some of the inconsistencies in OCB status reported in different populations. The study confirms that OCB positivity in MS is associated with a worse long-term prognosis.
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Kacar K, Rocca MA, Copetti M, Sala S, Mesaros S, Stosic Opincal T, Caputo D, Absinta M, Drulovic J, Kostic VS, Comi G, Filippi M. Overcoming the clinical-MR imaging paradox of multiple sclerosis: MR imaging data assessed with a random forest approach. AJNR Am J Neuroradiol 2011; 32:2098-102. [PMID: 22081673 DOI: 10.3174/ajnr.a2864] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND AND PURPOSE In MS, the relation between clinical and MR imaging measures is still suboptimal. We assessed the correlation of disability and specific impairment of the clinical functional system with overall and regional CNS damage in a large cohort of patients with MS with different clinical phenotypes by using a random forest approach. MATERIALS AND METHODS Brain conventional MR imaging and DTI were performed in 172 patients with MS and 46 controls. Cervical cord MR imaging was performed in a subgroup of subjects. To evaluate whether MR imaging measures were able to correctly classify impairment in specific clinical domains, we performed a random forest analysis. RESULTS Between-group differences were found for most of the MR imaging variables, which correlated significantly with clinical measures (r ranging from -0.57 to 0.55). The random forest analysis showed a high performance in identifying impaired versus unimpaired patients, with a global error between 7% (pyramidal functional system) and 31% (Ambulation Index) in the different outcomes considered. When considering the performance in the unimpaired and impaired groups, the random forest analysis showed a high performance in identifying patients with impaired sensory, cerebellar, and brain stem functions (error below 10%), while it performed poorly in defining impairment of visual and mental systems (error of 91% and 70%, respectively). In analyses with a good level of classification, for most functional systems, damage of the WM fiber bundles subserving their function, measured by using DTI tractography, had the highest classification power. CONCLUSIONS Random forest analysis, especially if applied to DTI tractography data, is a valuable approach, which might contribute to overcoming the MS clinical-MR imaging paradox.
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Affiliation(s)
- K Kacar
- Scientific Institute and University Hospital San Raffaele, Milan, Italy
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21
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Valsasina P, Rocca MA, Absinta M, Agosta F, Caputo D, Comi G, Filippi M. Cervical cord FMRI abnormalities differ between the progressive forms of multiple sclerosis. Hum Brain Mapp 2011; 33:2072-80. [PMID: 22887824 DOI: 10.1002/hbm.21346] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2011] [Revised: 03/24/2011] [Accepted: 04/11/2011] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE Aim of this study was to compare tactile-associated cervical cord fMRI activity between primary progressive (PP) and secondary progressive (SP) MS patients and to investigate whether cord recruitment was associated with structural brain and cord damage. EXPERIMENTAL DESIGN Cervical cord fMRI during a tactile stimulation of the right hand was acquired from 17 healthy controls, 18 SPMS patients, and 16 PPMS patients. Average fMRI activity and its topographical distribution in cord sectors (left vs. right, posterior vs. anterior) were assessed. Correlations between cord recruitment and structural cord and brain MRI were estimated. PRINCIPAL OBSERVATIONS Progressive MS patients showed an increased cord recruitment compared with controls (P = 0.003). Despite a similar structural cord damage, cord activity was increased in SPMS compared to PPMS patients (P = 0.05). Regional analysis showed a non-lateralized pattern of cord recruitment in MS patients. Compared to PPMS, SPMS patients had grey matter (GM) atrophy in several cortical and subcortical regions. In SPMS patients, atrophy of the left postcentral gyrus was correlated with cord activity (r = -0.48, P = 0.04). CONCLUSIONS Patients with progressive MS had an over-recruitment of the cervical cord, which was more pronounced in SPMS than PPMS, despite similar cord structural damage. The alteration of the complex modulation of spinal cord interneurons possibly due to a loss of supratentorial inhibition secondary to brain injury might contribute to explain the observed functional cord abnormalities.
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Affiliation(s)
- Paola Valsasina
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Milan, Italy
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22
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Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, Fujihara K, Havrdova E, Hutchinson M, Kappos L, Lublin FD, Montalban X, O'Connor P, Sandberg-Wollheim M, Thompson AJ, Waubant E, Weinshenker B, Wolinsky JS. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011; 69:292-302. [PMID: 21387374 PMCID: PMC3084507 DOI: 10.1002/ana.22366] [Citation(s) in RCA: 6633] [Impact Index Per Article: 510.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
New evidence and consensus has led to further revision of the McDonald Criteria for diagnosis of multiple sclerosis. The use of imaging for demonstration of dissemination of central nervous system lesions in space and time has been simplified, and in some circumstances dissemination in space and time can be established by a single scan. These revisions simplify the Criteria, preserve their diagnostic sensitivity and specificity, address their applicability across populations, and may allow earlier diagnosis and more uniform and widespread use.
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Affiliation(s)
- Chris H Polman
- Department of Neurology, Free University, Amsterdam, the Netherlands.
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23
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Stoop MP, Singh V, Dekker LJ, Titulaer MK, Stingl C, Burgers PC, Sillevis Smitt PAE, Hintzen RQ, Luider TM. Proteomics comparison of cerebrospinal fluid of relapsing remitting and primary progressive multiple sclerosis. PLoS One 2010; 5:e12442. [PMID: 20805994 PMCID: PMC2929207 DOI: 10.1371/journal.pone.0012442] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2010] [Accepted: 08/03/2010] [Indexed: 01/16/2023] Open
Abstract
Background Based on clinical representation of disease symptoms multiple sclerosis (MScl) patients can be divided into two major subtypes; relapsing remitting (RR) MScl (85–90%) and primary progressive (PP) MScl (10–15%). Proteomics analysis of cerebrospinal fluid (CSF) has detected a number of proteins that were elevated in MScl patients. Here we specifically aimed to differentiate between the PP and RR subtypes of MScl by comparing CSF proteins. Methodology/Principal Findings CSF samples (n = 31) were handled according to the same protocol for quantitative mass spectrometry measurements we reported previously. In the comparison of PP MScl versus RR MScl we observed a number of differentially abundant proteins, such as protein jagged-1 and vitamin D-binding protein. Protein jagged-1 was over three times less abundant in PP MScl compared to RR MScl. Vitamin D-binding protein was only detected in the RR MScl samples. These two proteins were validated by independent techniques (western blot and ELISA) as differentially abundant in the comparison between both MScl types. Conclusions/Significance The main finding of this comparative study is the observation that the proteome profiles of CSF in PP and RR MScl patients overlap to a large extent. Still, a number of differences could be observed. Protein jagged-1 is a ligand for multiple Notch receptors and involved in the mediation of Notch signaling. It is suggested in literature that the Notch pathway is involved in the remyelination of MScl lesions. Aberration of normal homeostasis of Vitamin D, of which approximately 90% is bound to vitamin D-binding protein, has been widely implicated in MScl for some years now. Vitamin D directly and indirectly regulates the differentiation, activation of CD4+ T-lymphocytes and can prevent the development of autoimmune processes, and so it may be involved in neuroprotective elements in MScl.
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Affiliation(s)
- Marcel P. Stoop
- Laboratories of Neuro-Oncology/Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Vaibhav Singh
- Laboratories of Neuro-Oncology/Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Lennard J. Dekker
- Laboratories of Neuro-Oncology/Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Mark K. Titulaer
- Laboratories of Neuro-Oncology/Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Christoph Stingl
- Laboratories of Neuro-Oncology/Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Peter C. Burgers
- Laboratories of Neuro-Oncology/Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Peter A. E. Sillevis Smitt
- Laboratories of Neuro-Oncology/Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Rogier Q. Hintzen
- Laboratories of Neuro-Oncology/Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Theo M. Luider
- Laboratories of Neuro-Oncology/Clinical and Cancer Proteomics, Department of Neurology, Erasmus University Medical Centre, Rotterdam, The Netherlands
- * E-mail:
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