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Liu J, Beck ES, Filippini S, van Gelderen P, de Zwart JA, Norato G, Sati P, Al-Louzi O, Kolb H, Donadieu M, Morrison M, Duyn JH, Reich DS. Navigator-Guided Motion and B0 Correction of T2*-Weighted Magnetic Resonance Imaging Improves Multiple Sclerosis Cortical Lesion Detection. Invest Radiol 2021; 56:409-416. [PMID: 34086012 PMCID: PMC8269363 DOI: 10.1097/rli.0000000000000754] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Cortical lesions are common in multiple sclerosis (MS). T2*-weighted (T2*w) imaging at 7 T is relatively sensitive for cortical lesions, but quality is often compromised by motion and main magnetic field (B0) fluctuations. PURPOSE The aim of this study was to determine whether motion and B0 correction with a navigator-guided gradient-recalled echo sequence can improve cortical lesion detection in T2*w magnetic resonance imaging. MATERIALS AND METHODS In this prospective study, a gradient-recalled echo sequence incorporating a navigator allowing for motion and B0 field correction was applied to collect T2*w images at 7 T from adults with MS between August 2019 and March 2020. T2*-weighted images were acquired in 1 to 3 partially overlapping scans per individual and were reconstructed using global average B0 correction ("uncorrected") or motion correction and spatially linear B0 correction ("corrected"). Image quality rating and manual segmentation of cortical lesions were performed on uncorrected and corrected images. Lesions seen on a single scan were retrospectively evaluated on the complementary scan. The association of cortical lesions with clinical disability was assessed. Mixed models were used to determine the effect of correction on lesion detection as well as on the relationship between disability and lesion count. RESULTS A total of 22 T2*w scans were performed on 11 adults with MS (mean [SD] age, 49 [11] years; 8 women). Quality improved for 20 of 22 scans (91%) after correction. A total of 69 cortical lesions were identified on uncorrected images (median per scan, 2; range, 0-11) versus 148 on corrected images (median per scan, 4.5; range, 0-25; rate ratio [RR], 2.1; P < 0.0001). For low-quality uncorrected scans with moderate to severe motion artifact (18/22, 82%), there was an improvement in cortical lesion detection with correction (RR, 2.5; P < 0.0001), whereas there was no significant change in cortical lesion detection for high-quality scans (RR, 1.3; P = 0.43). CONCLUSIONS Navigator-guided motion and B0 correction substantially improves the overall image quality of T2*w magnetic resonance imaging at 7 T and increases its sensitivity for cortical lesions.
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Affiliation(s)
- Jiaen Liu
- Advanced MRI Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Erin S Beck
- Translational Neuroradiology Section, NINDS, NIH, Bethesda, MD, USA
| | - Stefano Filippini
- Translational Neuroradiology Section, NINDS, NIH, Bethesda, MD, USA
- Department of Neurosciences, Drug, and Child Health, University of Florence, Florence, Italy
| | - Peter van Gelderen
- Advanced MRI Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Jacco A de Zwart
- Advanced MRI Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Gina Norato
- Clinical Trials Unit, NINDS, NIH, Bethesda, MD, USA
| | - Pascal Sati
- Translational Neuroradiology Section, NINDS, NIH, Bethesda, MD, USA
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Omar Al-Louzi
- Translational Neuroradiology Section, NINDS, NIH, Bethesda, MD, USA
| | - Hadar Kolb
- Translational Neuroradiology Section, NINDS, NIH, Bethesda, MD, USA
| | - Maxime Donadieu
- Translational Neuroradiology Section, NINDS, NIH, Bethesda, MD, USA
| | - Mark Morrison
- Translational Neuroradiology Section, NINDS, NIH, Bethesda, MD, USA
| | - Jeff H Duyn
- Advanced MRI Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Daniel S Reich
- Translational Neuroradiology Section, NINDS, NIH, Bethesda, MD, USA
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Barzegar M, Najdaghi S, Afshari-Safavi A, Nehzat N, Mirmosayyeb O, Shaygannejad V. Early predictors of conversion to secondary progressive multiple sclerosis. Mult Scler Relat Disord 2021; 54:103115. [PMID: 34216997 DOI: 10.1016/j.msard.2021.103115] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/10/2021] [Accepted: 06/22/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND We conducted this study to estimated the time of conversion from relapsing-remitting MS (RRMS) to SPMS and its early predictor factors. METHODS In this retrospective study, demographic, clinical, and imaging data from MS patients at diagnosis were extracted. Cox proportional hazards model was used to assess the association between various baseline characteristics and conversion to SPMS. We also assessed the association brtween escalation and early intensive therapy approaches with transition to progressive phase. RESULTS Out of 1903 patients with RRMS at baseline, 293 (15.4%) patients progressed to SPMS during follow-up. The estimated number of patients converted to SPMS was 10% at 10-years, 50% at 20-years, and 93% at 30-years. On multivariate Cox regression analysis older age at onset (HR: 1.067, 95%CI: 1.048-1.085, p < 0.001), smoking (HR: 2.120, 95%CI: 1.203-3.736, p = 0.009), higher EDSS at onset (HR: 1.199, 95%CI: 1.109-1.295, p < 0.001), motor dysfunction (HR: 2.470, 95%CI: 1.605-3.800, p < 0.001), cerebellar dysfunction (HR: 3.096, 95%CI: 1.840-5.211, p < 0.001), and presence of lesions in spinal cord (HR: 0.573, 95%CI: 0.297-0.989, p = 0.042) increased the risk of conversion from RRMS to SPMS. No significant difference between escalation and EIT groups in the risk of transition to progressive phase (weighted HR = 1.438; 95% CI: 0.963, 2.147; p = 0.076) was found. CONCLUSION Our data support previous observations that smoking is a modifiable risk factor for secondary progressive MS and confirms that spinal cord involvement, age, and more severe disease at onset are prognostic factors for converting to secondary progressive MS.
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Affiliation(s)
- Mahdi Barzegar
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Soroush Najdaghi
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Afshari-Safavi
- Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Biostatistics and Epidemiology, Faculty of Health, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - Nasim Nehzat
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Universal Council of Epidemiology (UCE), Universal Scientific Education and Research Network (USERN), Tehran University of Medical Sciences, Tehran, Iran
| | - Omid Mirmosayyeb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran; Universal Council of Epidemiology (UCE), Universal Scientific Education and Research Network (USERN), Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Shaygannejad
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran.
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Wang Y, Fellah S, Fields ME, Guilliams KP, Binkley MM, Eldeniz C, Shimony JS, Reis M, Vo KD, Chen Y, Lee JM, An H, Ford AL. Cerebral Oxygen Metabolic Stress, Microstructural Injury, and Infarction in Adults With Sickle Cell Disease. Neurology 2021; 97:e902-e912. [PMID: 34172536 PMCID: PMC8408504 DOI: 10.1212/wnl.0000000000012404] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 05/26/2021] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE To determine the patient- and tissue-based relationships between cerebral hemodynamic and oxygen metabolic stress, microstructural injury, and infarct location in adults with sickle cell disease (SCD). METHODS Control and SCD participants underwent brain MRI to quantify cerebral blood flow (CBF), oxygen extraction fraction (OEF), mean diffusivity (MD), and fractional anisotropy (FA) within normal-appearing white matter (NAWM), and infarcts on FLAIR. Multivariable linear regression examined the patient- and voxel-based associations between hemodynamic and metabolic stress (defined as elevated CBF and OEF, respectively), white matter microstructure, and infarct location. RESULTS Of 83 control and SCD participants, adults with SCD demonstrated increased CBF (50.9 vs 38.8 mL/min/100g, p<0.001), increased OEF (0.35 vs 0.25, p<0.001), increased MD (0.76 vs 0.72 x 10-3mm2 s-1, p=0.005), and decreased FA (0.40 vs 0.42, p=0.021) within NAWM compared to controls. In multivariable analysis, increased OEF (β=0.19, p=0.035), but not CBF (β=0.00, p=0.340), independently predicted increased MD in the SCD cohort, while neither were predictors in controls. On voxel-wise regression, the SCD cohort demonstrated widespread OEF elevation, encompassing deep white matter regions of elevated MD and reduced FA, which spatially extended beyond high density infarct locations from the SCD cohort. CONCLUSION Elevated OEF, a putative index of cerebral oxygen metabolic stress, may provide a metric of ischemic vulnerability which could enable individualization of therapeutic strategies in SCD. The patient- and tissue-based relationships between elevated OEF, elevated MD, and cerebral infarcts suggest that oxygen metabolic stress may underlie microstructural injury prior to the development of cerebral infarcts in SCD.
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Affiliation(s)
- Yan Wang
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Slim Fellah
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Melanie E Fields
- Division of Pediatric Hematology/Oncology, Washington University School of Medicine, St. Louis, MO
| | - Kristin P Guilliams
- Division of Pediatric Neurology, Washington University School of Medicine, St. Louis, MO
| | - Michael M Binkley
- Department of Neurology, Washington University School of Medicine, St. Louis, MO
| | - Cihat Eldeniz
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Martin Reis
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Katie D Vo
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Yasheng Chen
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, St. Louis, MO.,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Hongyu An
- Department of Neurology, Washington University School of Medicine, St. Louis, MO.,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
| | - Andria L Ford
- Department of Neurology, Washington University School of Medicine, St. Louis, MO; .,Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO
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Pisani AI, Scalfari A, Crescenzo F, Romualdi C, Calabrese M. A novel prognostic score to assess the risk of progression in relapsing-remitting multiple sclerosis patients. Eur J Neurol 2021; 28:2503-2512. [PMID: 33835665 PMCID: PMC8360167 DOI: 10.1111/ene.14859] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 04/03/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND At the patient level, the prognostic value of several features that are known to be associated with an increased risk of converting from relapsing-remitting (RR) to secondary phase (SP) multiple sclerosis (MS) remains limited. METHODS Among 262 RRMS patients followed up for 10 years, we assessed the probability of developing the SP course based on clinical and conventional and non-conventional magnetic resonance imaging (MRI) parameters at diagnosis and after 2 years. We used a machine learning method, the random survival forests, to identify, according to their minimal depth (MD), the most predictive factors associated with the risk of SP conversion, which were then combined to compute the secondary progressive risk score (SP-RiSc). RESULTS During the observation period, 69 (26%) patients converted to SPMS. The number of cortical lesions (MD = 2.47) and age (MD = 3.30) at diagnosis, the global cortical thinning (MD = 1.65), the cerebellar cortical volume loss (MD = 2.15) and the cortical lesion load increase (MD = 3.15) over the first 2 years exerted the greatest predictive effect. Three patients' risk groups were identified; in the high-risk group, 85% (46/55) of patients entered the SP phase in 7 median years. The SP-RiSc optimal cut-off estimated was 17.7 showing specificity and sensitivity of 87% and 92%, respectively, and overall accuracy of 88%. CONCLUSIONS The SP-RiSc yielded a high performance in identifying MS patients with high probability to develop SPMS, which can help improve management strategies. These findings are the premise of further larger prospective studies to assess its use in clinical settings.
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Affiliation(s)
- Anna Isabella Pisani
- Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | | | - Francesco Crescenzo
- Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
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Abstract
PURPOSE OF REVIEW Ultra-high field 7 T MRI has multiple applications for the in vivo characterization of the heterogeneous aspects underlying multiple sclerosis including the identification of cortical lesions, characterization of the different types of white matter plaques, evaluation of structures difficult to assess with conventional MRI (thalamus, cerebellum, spinal cord, meninges). RECENT FINDINGS The sensitivity of cortical lesion detection at 7 T is twice than at lower field MRI, especially for subpial lesions, the most common cortical lesion type in multiple sclerosis. Cortical lesion load accrual is independent of that in the white matter and predicts disability progression.Seven Tesla MRI provides details on tissue microstructure that can be used to improve white matter lesion characterization. These include the presence of a central vein, whose identification can be used to improve multiple sclerosis diagnosis, or the appearance of an iron-rich paramagnetic rim on susceptibility-weighted images, which corresponds to iron-rich microglia at the periphery of slow expanding lesions. Improvements in cerebellar and spinal cord tissue delineation and lesion characterization have also been demonstrated. SUMMARY Imaging at 7 T allows assessing more comprehensively the complementary pathophysiological aspects of multiple sclerosis, opening up novel perspectives for clinical and therapeutics evaluation.
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Penner IK, Gass A, Schreiber H, Wattjes MP. [Neuropsychological and MRI diagnostics in secondary progressive multiple sclerosis]. DER NERVENARZT 2021; 92:1293-1301. [PMID: 33891150 PMCID: PMC8648628 DOI: 10.1007/s00115-021-01118-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 03/02/2021] [Indexed: 11/24/2022]
Abstract
Hintergrund Die Multiple Sklerose ist im longitudinalen Verlauf oft ein Krankheitskontinuum mit initial schubförmig-remittierender Phase (RRMS) und späterer sekundärer Progredienz (SPMS). Die meisten bisher zugelassenen Therapien sind bei SPMS nicht ausreichend wirksam. Die frühe Erkennung der SPMS-Konversion ist daher entscheidend für die Therapiewahl. Wichtige Entscheidungshilfen können dabei die Testung kognitiver Teilleistungen und die Magnetresonanztomographie (MRT) sein. Ziel der Arbeit Darstellung der Bedeutung kognitiver Testungen und von MRT-Untersuchungen für Prädiktion und Erfassung der SPMS-Konversion. Ausarbeitung von Strategien der Verlaufsbeobachtung und Therapiesteuerung in der Praxis, insbesondere in der ambulanten Versorgung. Material und Methoden Übersichtsarbeit auf Basis einer unsystematischen Literaturrecherche. Ergebnisse Standardisierte kognitive Testung kann für die frühe SPMS-Diagnose hilfreich sein und die Verlaufsbewertung erleichtern. Eine jährliche Anwendung sensitiver Screeningtests wie Symbol Digit Modalities Test (SDMT) und Brief Visual Memory Test-Revised (BVMT‑R) oder der Brief International Cognitive Assessment for MS (BICAMS)-Testbatterie ist empfehlenswert. Persistierende inflammatorische Aktivität im MRT in den ersten drei Jahren der Erkrankung sowie das Vorhandensein kortikaler Läsionen sind prädiktiv für eine SPMS-Konversion. Ein standardisiertes MRT-Monitoring auf Merkmale einer progressiven MS kann den klinisch und neurokognitiv begründeten SPMS-Verdacht stützen. Diskussion Die interdisziplinäre Versorgung von MS-Patienten durch klinisch versierte Neurologen, unterstützt durch neuropsychologische Testung und MRT, hat einen hohen Stellenwert für die SPMS-Prädiktion und Diagnose. Letztere erlaubt eine frühe Umstellung auf geeignete Therapien, da bei SPMS andere Interventionen als für die RRMS notwendig sind. Nach erfolgter medikamentöser Umstellung erlaubt die klinische, neuropsychologische und bildgebende Vigilanz ein stringentes Monitoring auf neuroinflammatorische und -degenerative Aktivität sowie Therapiekomplikationen.
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Affiliation(s)
- I-K Penner
- Klinik für Neurologie, Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland. .,COGITO Zentrum für angewandte Neurokognition und neuropsychologische Forschung, Merowingerplatz 1, 40225, Düsseldorf, Deutschland.
| | - A Gass
- Neurologische Klinik, Universitätsmedizin Mannheim, Mannheim, Deutschland
| | - H Schreiber
- Nervenärztliche Gemeinschaftspraxis, Neuropoint Akademie und NTD, Ulm, Deutschland
| | - M P Wattjes
- Institut für diagnostische und interventionelle Neuroradiologie, Medizinische Hochschule Hannover, Hannover, Deutschland
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Haider L, Prados F, Chung K, Goodkin O, Kanber B, Sudre C, Yiannakas M, Samson RS, Mangesius S, Thompson AJ, Gandini Wheeler-Kingshott CAM, Ciccarelli O, Chard DT, Barkhof F. Cortical involvement determines impairment 30 years after a clinically isolated syndrome. Brain 2021; 144:1384-1395. [PMID: 33880511 PMCID: PMC8219364 DOI: 10.1093/brain/awab033] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 11/24/2020] [Accepted: 12/03/2020] [Indexed: 01/01/2023] Open
Abstract
Many studies report an overlap of MRI and clinical findings between patients with relapsing-remitting multiple sclerosis (RRMS) and secondary progressive multiple sclerosis (SPMS), which in part is reflective of inclusion of subjects with variable disease duration and short periods of follow-up. To overcome these limitations, we examined the differences between RRMS and SPMS and the relationship between MRI measures and clinical outcomes 30 years after first presentation with clinically isolated syndrome suggestive of multiple sclerosis. Sixty-three patients were studied 30 years after their initial presentation with a clinically isolated syndrome; only 14% received a disease modifying treatment at any time point. Twenty-seven patients developed RRMS, 15 SPMS and 21 experienced no further neurological events; these groups were comparable in terms of age and disease duration. Clinical assessment included the Expanded Disability Status Scale, 9-Hole Peg Test and Timed 25-Foot Walk and the Brief International Cognitive Assessment For Multiple Sclerosis. All subjects underwent a comprehensive MRI protocol at 3 T measuring brain white and grey matter (lesions, volumes and magnetization transfer ratio) and cervical cord involvement. Linear regression models were used to estimate age- and gender-adjusted group differences between clinical phenotypes after 30 years, and stepwise selection to determine associations between a large sets of MRI predictor variables and physical and cognitive outcome measures. At the 30-year follow-up, the greatest differences in MRI measures between SPMS and RRMS were the number of cortical lesions, which were higher in SPMS (the presence of cortical lesions had 100% sensitivity and 88% specificity), and grey matter volume, which was lower in SPMS. Across all subjects, cortical lesions, grey matter volume and cervical cord volume explained 60% of the variance of the Expanded Disability Status Scale; cortical lesions alone explained 43%. Grey matter volume, cortical lesions and gender explained 43% of the variance of Timed 25-Foot Walk. Reduced cortical magnetization transfer ratios emerged as the only significant explanatory variable for the symbol digit modality test and explained 52% of its variance. Cortical involvement, both in terms of lesions and atrophy, appears to be the main correlate of progressive disease and disability in a cohort of individuals with very long follow-up and homogeneous disease duration, indicating that this should be the target of therapeutic interventions.
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Affiliation(s)
- Lukas Haider
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,Department of Biomedical Imaging and Image Guided Therapy, Medical University Vienna, Austria
| | - Ferran Prados
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,Universitat Oberta de Catalunya, Barcelona, Spain
| | - Karen Chung
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Olivia Goodkin
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Baris Kanber
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,Department of Clinical and Experimental Epilepsy, University College London, London, UK
| | - Carole Sudre
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.,Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Marios Yiannakas
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Rebecca S Samson
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Stephanie Mangesius
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria.,Neuroimaging Core Facility, Medical University of Innsbruck, Innsbruck, Austria
| | - Alan J Thompson
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.,Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK
| | - Declan T Chard
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK
| | - Frederik Barkhof
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, Queen Square Institute of Neurology, University College London, London, UK.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK.,Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, The Netherlands
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Kaufmann M, Evans H, Schaupp AL, Engler JB, Kaur G, Willing A, Kursawe N, Schubert C, Attfield KE, Fugger L, Friese MA. Identifying CNS-colonizing T cells as potential therapeutic targets to prevent progression of multiple sclerosis. MED 2021; 2:296-312.e8. [PMID: 33748804 PMCID: PMC7966680 DOI: 10.1016/j.medj.2021.01.006] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/17/2020] [Accepted: 01/26/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Multiple sclerosis (MS), an autoimmune disease of the central nervous system (CNS), can be suppressed in its early stages but eventually becomes clinically progressive and unresponsive to therapy. Here, we investigate whether the therapeutic resistance of progressive MS can be attributed to chronic immune cell accumulation behind the blood-brain barrier (BBB). METHODS We systematically track CNS-homing immune cells in the peripheral blood of 31 MS patients and 31 matched healthy individuals in an integrated analysis of 497,705 single-cell transcriptomes and 355,433 surface protein profiles from 71 samples. Through spatial RNA sequencing, we localize these cells in post mortem brain tissue of 6 progressive MS patients contrasted against 4 control brains (20 samples, 85,000 spot transcriptomes). FINDINGS We identify a specific pathogenic CD161+/lymphotoxin beta (LTB)+ T cell population that resides in brains of progressive MS patients. Intriguingly, our data suggest that the colonization of the CNS by these T cells may begin earlier in the disease course, as they can be mobilized to the blood by usage of the integrin-blocking antibody natalizumab in relapsing-remitting MS patients. CONCLUSIONS As a consequence, we lay the groundwork for a therapeutic strategy to deplete CNS-homing T cells before they can fuel treatment-resistant progression. FUNDING This study was supported by funding from the University Medical Center Hamburg-Eppendorf, the Stifterverband für die Deutsche Wissenschaft, the OAK Foundation, Medical Research Council UK, and Wellcome.
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Affiliation(s)
- Max Kaufmann
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Hayley Evans
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Anna-Lena Schaupp
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Jan Broder Engler
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Gurman Kaur
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Anne Willing
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Nina Kursawe
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Charlotte Schubert
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Kathrine E. Attfield
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Lars Fugger
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Manuel A. Friese
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
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Filippi M, Preziosa P, Barkhof F, Chard D, 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 B, Rocca MA. Diagnosis of Progressive Multiple Sclerosis From the Imaging Perspective: A Review. JAMA Neurol 2021; 78:351-364. [PMID: 33315071 PMCID: PMC11382596 DOI: 10.1001/jamaneurol.2020.4689] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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, 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, 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 UMC, Location VUmc, MS Center Amsterdam, Amsterdam, Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Declan Chard
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, London, UK
- National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK
| | - 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, OH, USA
| | - Claudio Gasperini
- Department of Neurology, San Camillo-Forlanini Hospital, Roma, 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, 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 UMC, Location VUmc, MS Center Amsterdam, Amsterdam, Netherlands
| | - Daniel S. Reich
- Translational Neuroradiology Section, Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Àlex Rovira
- Neuroradiology Section, Department of Radiology (IDI), Vall d’Hebron University Hospital and Research Institute (VHIR), Autonomous University Barcelona, Spain
| | - Ahmed T. Toosy
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, London, UK
| | - Anthony Traboulsee
- MS/MRI Research Group, Djavad Mowafaghian Centre for Brain Health, and Vancouver, British Columbia, Canada
- Faculty of Medicine, Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Burcu Zeydan
- Department of Neurology and Mayo Clinic, Rochester, MN, USA
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Brenda Banwell
- Division of Child Neurology, The Children’s Hospital of Philadelphia, Departments of Neurology and Pediatrics, Perelman School of Medicine, University of Pennsylvania
| | - Maria A. Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
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60
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Jafari M, Schumacher AM, Snaidero N, Ullrich Gavilanes EM, Neziraj T, Kocsis-Jutka V, Engels D, Jürgens T, Wagner I, Weidinger JDF, Schmidt SS, Beltrán E, Hagan N, Woodworth L, Ofengeim D, Gans J, Wolf F, Kreutzfeldt M, Portugues R, Merkler D, Misgeld T, Kerschensteiner M. Phagocyte-mediated synapse removal in cortical neuroinflammation is promoted by local calcium accumulation. Nat Neurosci 2021; 24:355-367. [PMID: 33495636 DOI: 10.1038/s41593-020-00780-7] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 12/16/2020] [Indexed: 01/30/2023]
Abstract
Cortical pathology contributes to chronic cognitive impairment of patients suffering from the neuroinflammatory disease multiple sclerosis (MS). How such gray matter inflammation affects neuronal structure and function is not well understood. In the present study, we use functional and structural in vivo imaging in a mouse model of cortical MS to demonstrate that bouts of cortical inflammation disrupt cortical circuit activity coincident with a widespread, but transient, loss of dendritic spines. Spines destined for removal show local calcium accumulations and are subsequently removed by invading macrophages or activated microglia. Targeting phagocyte activation with a new antagonist of the colony-stimulating factor 1 receptor prevents cortical synapse loss. Overall, our study identifies synapse loss as a key pathological feature of inflammatory gray matter lesions that is amenable to immunomodulatory therapy.
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Affiliation(s)
- Mehrnoosh Jafari
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Biomedical Center, Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany
| | - Adrian-Minh Schumacher
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Biomedical Center, Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany
| | - Nicolas Snaidero
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Institute of Neuronal Cell Biology, Technical University of Munich, Munich, Germany.,German Center for Neurodegenerative Diseases, Munich, Germany
| | - Emily M Ullrich Gavilanes
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Biomedical Center, Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany
| | - Tradite Neziraj
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Biomedical Center, Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany
| | - Virág Kocsis-Jutka
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Biomedical Center, Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany
| | - Daniel Engels
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Biomedical Center, Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany
| | - Tanja Jürgens
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Ingrid Wagner
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Juan Daniel Flórez Weidinger
- Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.,Bernstein Center for Computational Neuroscience, University of Göttingen, Göttingen, Germany.,Max Planck Institute for Experimental Medicine, Göttingen, Germany.,Center for Biostructural Imaging of Neurodegeneration, Göttingen, Germany
| | - Stephanie S Schmidt
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Eduardo Beltrán
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.,Biomedical Center, Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany
| | - Nellwyn Hagan
- Rare and Neurological Disease Research, Sanofi, Framingham, MA, USA
| | - Lisa Woodworth
- Rare and Neurological Disease Research, Sanofi, Framingham, MA, USA
| | - Dimitry Ofengeim
- Rare and Neurological Disease Research, Sanofi, Framingham, MA, USA
| | - Joseph Gans
- Translational Sciences Genomics, Sanofi, Framingham, MA, USA
| | - Fred Wolf
- Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.,Bernstein Center for Computational Neuroscience, University of Göttingen, Göttingen, Germany.,Max Planck Institute for Experimental Medicine, Göttingen, Germany.,Center for Biostructural Imaging of Neurodegeneration, Göttingen, Germany.,Campus Institute for Dynamics of Biological Networks, University of Göttingen, Göttingen, Germany
| | - Mario Kreutzfeldt
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland.,Division of Clinical Pathology, Geneva University Hospital, Geneva, Switzerland
| | - Ruben Portugues
- Sensorimotor Control, Max Planck Institute of Neurobiology, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Doron Merkler
- Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland. .,Division of Clinical Pathology, Geneva University Hospital, Geneva, Switzerland.
| | - Thomas Misgeld
- Institute of Neuronal Cell Biology, Technical University of Munich, Munich, Germany. .,German Center for Neurodegenerative Diseases, Munich, Germany. .,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
| | - Martin Kerschensteiner
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany. .,Biomedical Center, Faculty of Medicine, Ludwig-Maximilians University Munich, Munich, Germany. .,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
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61
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Allen CM, Mowry E, Tintore M, Evangelou N. Prognostication and contemporary management of clinically isolated syndrome. J Neurol Neurosurg Psychiatry 2020; 92:jnnp-2020-323087. [PMID: 33361410 DOI: 10.1136/jnnp-2020-323087] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/23/2020] [Accepted: 11/24/2020] [Indexed: 11/04/2022]
Abstract
Clinically isolated syndrome (CIS) patients present with a single attack of inflammatory demyelination of the central nervous system. Recent advances in multiple sclerosis (MS) diagnostic criteria have expanded the number of CIS patients eligible for a diagnosis of MS at the onset of the disease, shrinking the prevalence of CIS. MS treatment options are rapidly expanding, which is driving the need to recognise MS at its earliest stages. In CIS patients, finding typical MS white matter lesions on the patient's MRI scan remains the most influential prognostic investigation for predicting subsequent diagnosis with MS. Additional imaging, cerebrospinal fluid and serum testing, information from the clinical history and genetic testing also contribute. For those subsequently diagnosed with MS, there is a wide spectrum of long-term clinical outcomes. Detailed assessment at the point of presentation with CIS provides fewer clues to calculate a personalised risk of long-term severe disability.Clinicians should select suitable CIS cases for steroid treatment to speed neurological recovery. Unfortunately, there are still no neuroprotection or remyelination strategies available. The use of MS disease modifying therapy for CIS varies among clinicians and national guidelines, suggesting a lack of robust evidence to guide practice. Clinicians should focus on confirming MS speedily and accurately with appropriate investigations. Diagnosis with CIS provides an opportune moment to promote a healthy lifestyle, in particular smoking cessation. Patients also need to understand the link between CIS and MS. This review provides clinicians an update on the contemporary evidence guiding prognostication and management of CIS.
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Affiliation(s)
- Christopher Martin Allen
- Department of Clinical Neurology, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
| | - Ellen Mowry
- Neurology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Mar Tintore
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, (Cemcat), Vall d'Hebron University Hospital, Barcelona, Spain
- Multiple Sclerosis Centre of Catalonia, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Nikos Evangelou
- Department of Clinical Neurology, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
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62
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Bomprezzi R, Chen AP, Hemond CC. Cervical spondylosis is a risk factor for localized spinal cord lesions in multiple sclerosis. Clin Neurol Neurosurg 2020; 199:106311. [DOI: 10.1016/j.clineuro.2020.106311] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 10/09/2020] [Accepted: 10/12/2020] [Indexed: 11/28/2022]
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63
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Beutel T, Dzimiera J, Kapell H, Engelhardt M, Gass A, Schirmer L. Cortical projection neurons as a therapeutic target in multiple sclerosis. Expert Opin Ther Targets 2020; 24:1211-1224. [PMID: 33103501 DOI: 10.1080/14728222.2020.1842358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a chronic inflammatory-demyelinating disease of the central nervous system associated with lesions of the cortical gray matter and subcortical white matter. Recently, cortical lesions have become a major focus of research because cortical pathology and neuronal damage are critical determinants of irreversible clinical progression. Recent transcriptomic studies point toward cell type-specific changes in cortical neurons in MS with a selective vulnerability of excitatory projection neuron subtypes. AREAS COVERED We discuss the cortical mapping and the molecular properties of excitatory projection neurons and their role in MS lesion pathology while placing an emphasis on their subtype-specific transcriptomic changes and levels of vulnerability. We also examine the latest magnetic resonance imaging techniques to study cortical MS pathology as a key tool for monitoring disease progression and treatment efficacy. Finally, we consider possible therapeutic avenues and novel strategies to protect excitatory cortical projection neurons. Literature search methodology: PubMed articles from 2000-2020. EXPERT OPINION Excitatory cortical projection neurons are an emerging therapeutic target in the treatment of progressive MS. Understanding neuron subtype-specific molecular pathologies and their exact spatial mapping will help establish starting points for the development of novel cell type-specific therapies and biomarkers in MS.
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Affiliation(s)
- Tatjana Beutel
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University , Mannheim, Germany
| | - Julia Dzimiera
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University , Mannheim, Germany
| | - Hannah Kapell
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University , Mannheim, Germany
| | - Maren Engelhardt
- Institute of Neuroanatomy, Medical Faculty Mannheim, MCTN, Heidelberg University , Mannheim, Germany.,Interdisciplinary Center for Neurosciences, Heidelberg University , Heidelberg, Germany
| | - Achim Gass
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University , Mannheim, Germany
| | - Lucas Schirmer
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University , Mannheim, Germany.,Interdisciplinary Center for Neurosciences, Heidelberg University , Heidelberg, Germany
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64
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Bruschi N, Boffa G, Inglese M. Ultra-high-field 7-T MRI in multiple sclerosis and other demyelinating diseases: from pathology to clinical practice. Eur Radiol Exp 2020; 4:59. [PMID: 33089380 PMCID: PMC7578213 DOI: 10.1186/s41747-020-00186-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 09/11/2020] [Indexed: 11/10/2022] Open
Abstract
Magnetic resonance imaging (MRI) is essential for the early diagnosis of multiple sclerosis (MS), for investigating the disease pathophysiology, and for discriminating MS from other neurological diseases. Ultra-high-field strength (7-T) MRI provides a new tool for studying MS and other demyelinating diseases both in research and in clinical settings. We present an overview of 7-T MRI application in MS focusing on increased sensitivity and specificity for lesion detection and characterisation in the brain and spinal cord, central vein sign identification, and leptomeningeal enhancement detection. We also discuss the role of 7-T MRI in improving our understanding of MS pathophysiology with the aid of metabolic imaging. In addition, we present 7-T MRI applications in other demyelinating diseases. 7-T MRI allows better detection of the anatomical, pathological, and functional features of MS, thus improving our understanding of MS pathology in vivo. 7-T MRI also represents a potential tool for earlier and more accurate diagnosis.
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Affiliation(s)
- Nicolo' Bruschi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Giacomo Boffa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
- Ospedale Policlinico San Martino, IRCCS, Largo Daneo 3, 16100, Genoa, Italy.
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65
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Snaidero N, Schifferer M, Mezydlo A, Zalc B, Kerschensteiner M, Misgeld T. Myelin replacement triggered by single-cell demyelination in mouse cortex. Nat Commun 2020; 11:4901. [PMID: 32994410 PMCID: PMC7525521 DOI: 10.1038/s41467-020-18632-0] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 09/02/2020] [Indexed: 12/14/2022] Open
Abstract
Myelin, rather than being a static insulator of axons, is emerging as an active participant in circuit plasticity. This requires precise regulation of oligodendrocyte numbers and myelination patterns. Here, by devising a laser ablation approach of single oligodendrocytes, followed by in vivo imaging and correlated ultrastructural reconstructions, we report that in mouse cortex demyelination as subtle as the loss of a single oligodendrocyte can trigger robust cell replacement and remyelination timed by myelin breakdown. This results in reliable reestablishment of the original myelin pattern along continuously myelinated axons, while in parallel, patchy isolated internodes emerge on previously unmyelinated axons. Therefore, in mammalian cortex, internodes along partially myelinated cortical axons are typically not reestablished, suggesting that the cues that guide patchy myelination are not preserved through cycles of de- and remyelination. In contrast, myelin sheaths forming continuous patterns show remarkable homeostatic resilience and remyelinate with single axon precision.
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Affiliation(s)
- Nicolas Snaidero
- Institute of Neuronal Cell Biology, Technische Universität München, 80802, Munich, Germany.
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany.
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians Universität München, 81377, Munich, Germany.
- Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians Universität München, 82152, Martinsried, Germany.
| | - Martina Schifferer
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Aleksandra Mezydlo
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians Universität München, 81377, Munich, Germany
- Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians Universität München, 82152, Martinsried, Germany
| | - Bernard Zalc
- Inserm, CNRS, Institut du Cerveau, Pitié-Salpêtrière Hospital, Sorbonne Université, 75013, Paris, France
| | - Martin Kerschensteiner
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians Universität München, 81377, Munich, Germany
- Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians Universität München, 82152, Martinsried, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Thomas Misgeld
- Institute of Neuronal Cell Biology, Technische Universität München, 80802, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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Magliozzi R, Marastoni D, Calabrese M. The BAFF / APRIL system as therapeutic target in multiple sclerosis. Expert Opin Ther Targets 2020; 24:1135-1145. [PMID: 32900236 DOI: 10.1080/14728222.2020.1821647] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION The complex system of BAFF (B-cell-activating factor of the TNF family) and APRIL (A proliferation-inducing ligand) has been studied in animal models of autoimmune diseases such as those resembling human systemic lupus erythematosus and Sjogren's syndrome and multiple sclerosis (MS). Accumulating evidence suggests that BAFF and APRIL have a physiological role in B cell immunity regulation, however inappropriate production of these factors may represent a key event which disrupts immune tolerance which is associated with systemic autoimmune diseases. AREAS COVERED We provide an update on the latest studies of the BAFF/APRIL system in multiple sclerosis, as well as on related clinical trials. EXPERT OPINION Experimental and clinical evidence suggests that increased BAFF levels may interfere directly and indirectly with B cell immunity; this can lead to breakdown of immune tolerance, the production of autoantibodies and continuous local intracerebral inflammation and brain tissue destruction. A more comprehensive understanding of the cell/molecular mechanism immune reactions specifically regulated by BAFF/APRIL in MS would better elucidate the specific cell phenotype targeted by actual anti-BAFF/APRIL therapies; this may enable the identification of either specific biomarkers of MS subgroups that would benefit of anti-BAFF/APRIL treatments or new targets of MS-specific anti-BAFF/APRIL therapies.
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Affiliation(s)
- Roberta Magliozzi
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona , Verona, Italy
| | - Damiano Marastoni
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona , Verona, Italy
| | - Massimiliano Calabrese
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona , Verona, Italy
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67
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Auger C, Rovira À. New concepts about the role of magnetic resonance imaging in the diagnosis and follow-up of multiple sclerosis. RADIOLOGIA 2020. [DOI: 10.1016/j.rxeng.2020.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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68
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Kleiter I, Ayzenberg I, Havla J, Lukas C, Penner IK, Stadelmann C, Linker RA. The transitional phase of multiple sclerosis: Characterization and conceptual framework. Mult Scler Relat Disord 2020; 44:102242. [DOI: 10.1016/j.msard.2020.102242] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 05/17/2020] [Accepted: 05/24/2020] [Indexed: 10/24/2022]
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69
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Nuevos conceptos sobre el papel de la resonancia magnética en el diagnóstico y seguimiento de la esclerosis múltiple. RADIOLOGIA 2020; 62:349-359. [DOI: 10.1016/j.rx.2020.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 06/26/2020] [Accepted: 07/02/2020] [Indexed: 11/24/2022]
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Moccia M, Annovazzi P, Buscarinu MC, Calabrese M, Cavalla P, Cordioli C, Di Filippo M, Ferraro D, Gajofatto A, Gallo A, Lanzillo R, Laroni A, Lorefice L, Mallucchi S, Nociti V, Paolicelli D, Pinardi F, Prosperini L, Radaelli M, Ragonese P, Tomassini V, Tortorella C, Cocco E, Gasperini C, Solaro C. Harmonization of real-world studies in multiple sclerosis: Retrospective analysis from the rirems group. Mult Scler Relat Disord 2020; 45:102394. [PMID: 32683308 DOI: 10.1016/j.msard.2020.102394] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 06/25/2020] [Accepted: 07/11/2020] [Indexed: 12/29/2022]
Abstract
BACKGROUND Worldwide multiple sclerosis (MS) centers have coordinated their efforts to use data acquired in clinical practice for real-world observational studies. In this retrospective study, we aim to harmonize outcome measures, and to evaluate their heterogeneity within the Rising Italian Researchers in MS (RIReMS) study group. METHODS RIReMS members filled in a structured questionnaire evaluating the use of different outcome measures in clinical practice. Thereafter, thirty-four already-published papers from RIReMS centers were used for heterogeneity analyses, using the DerSimonian and Laird random-effects method to compute the between-study variance (τ2). RESULTS Based on questionnaire results, we defined basic modules for diagnosis and follow-up, consisting of outcome measures recorded by all participating centers at the time of diagnosis, and, then, at least annually; we also defined more detailed/optional modules, with outcome measures recorded less frequently and/or in the presence of specific clinical indications. Looking at heterogeneity, we found 5-year variance in age at onset (ES=27.34; 95%CI=26.18, 28.49; p<0.01; τ2=4.76), and 7% in female percent (ES=66.42; 95%CI=63.08, 69.76; p<0.01; τ2=7.15). EDSS variance was 0.2 in studies including patients with average age <36.1 years (ES=1.96; 95%CI=1.69, 2.24; p<0.01; τ2=0.19), or from 36.8 to 41.1 years (ES=2.70; 95%CI=2.39, 3.01; p<0.01; τ2=0.18), but increased to 3 in studies including patients aged >41.4 years (ES=4.37; 95%CI=3.40, 5.35; p<0.01; τ2=2.96). The lowest variance of relapse rate was found in studies with follow-up duration ≤2 years (ES=9.07; 95%CI=5.21, 12.93; p = 0.02; τ2=5.53), whilst the lowest variance in EDSS progression was found in studies with follow-up duration >2 years (ES=5.41; 95%CI=3.22, 7.60; p = 0.02; τ2=1.00). DISCUSSION We suggest common sets of biomarkers to be acquired in clinical practice, that can be used for research purposes. Also, we provide researchers with specific indications for improving inclusion criteria and data analysis, ultimately allowing data harmonization and high-quality collaborative studies.
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Affiliation(s)
- Marcello Moccia
- MS Clinical Care and Research Centre, Department of Neuroscience, Federico II University of Naples, Italy.
| | | | - Maria Chiara Buscarinu
- Department of Neurosciences, Mental Health and Sensory Organs, Sapienza University, Rome, Italy
| | | | - Paola Cavalla
- MS Center, Department of Neurosciences and Mental Health, AOU City of Health & Science University Hospital, Turin, Italy
| | - Cinzia Cordioli
- Multiple Sclerosis Center, ASST Spedali Civili di Brescia, Brescia, Italy
| | | | - Diana Ferraro
- Department of Biomedical, Metabolic and Neurosciences, University of Modena and Reggio Emilia, Italy
| | - Alberto Gajofatto
- Department of Neuroscience, Biomedicine and Movement, University of Verona, Italy
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, University of Campania "L. Vanvitelli", Naples, Italy
| | - Roberta Lanzillo
- MS Clinical Care and Research Centre, Department of Neuroscience, Federico II University of Naples, Italy
| | - Alice Laroni
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health and Center of Excellence for Biomedical Research (CEBR), University of Genova, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Lorena Lorefice
- Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - Simona Mallucchi
- Multiple Sclerosis Centre, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy
| | - Viviana Nociti
- Multiple Sclerosis Center, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Damiano Paolicelli
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari, Italy
| | | | - Luca Prosperini
- Department of Neurosciences, Ospedale San Camillo Forlanini, Rome, Italy
| | - Marta Radaelli
- Department of Neurology, San Raffaele Hospital, Milan, Italy
| | - Paolo Ragonese
- Department of Biomedicine Neurosciences and advanced Diagnostic (BiND), University of Palermo, Italy
| | - Valentina Tomassini
- Institute for Biomedical Technologies (ITAB), Department of Neurosciences, Imaging and Clinical Sciences, University of Chieti-Pescara "G. d'Annunzio", Chieti, Italy; MS Centre, Neurology Unit, SS. Annunziata University Hospital, Chieti, Italy; Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, United Kingdom
| | - Carla Tortorella
- Department of Neurosciences, Ospedale San Camillo Forlanini, Rome, Italy
| | - Eleonora Cocco
- Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - Claudio Gasperini
- Department of Neurosciences, Ospedale San Camillo Forlanini, Rome, Italy
| | - Claudio Solaro
- Rehabilitation Department, Mons. L. Novarese, Moncrivello, Vercelli, Italy
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71
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Hidalgo de la Cruz M, Valsasina P, Gobbi C, Gallo A, Zecca C, Bisecco A, Tedeschi G, Filippi M, Rocca MA. Longitudinal cortical thinning progression differs across multiple sclerosis phenotypes and is clinically relevant: A multicentre study. Mult Scler 2020; 27:827-840. [DOI: 10.1177/1352458520940548] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Longitudinal evolution of cortical thickness (CTh) in different MS phenotypes has been rarely studied. Aim: To investigate the regional pattern and 1-year progression of cortical thinning in relapsing-remitting (RR) and progressive (P) MS. Methods: 3T high-resolution T1-weighted magnetic resonance imaging (MRI) was obtained from 86 patients (75 RRMS, 11 PMS) and 34 healthy controls (HC) at three European sites at baseline and 1-year follow-up. Using FreeSurfer, baseline CTh between-group differences, longitudinal CTh changes and their correlations with clinical and MRI variables were assessed. Results: Baseline frontal, parietal and sensorimotor atrophy was found in MS versus HC. Such pattern was driven by RRMS, while PMS showed additional parietal, insular and sensorimotor cortical atrophy versus RRMS. At 1-year versus baseline, additional frontal and temporal cortical thinning was detected in RRMS patients, while a widespread CTh reduction was found in PMS patients (significant at time-by-group interaction vs RRMS). In MS, baseline fronto-parietal atrophy correlated with more severe disability and higher lesion volume. Baseline inferior parietal CTh decrease and 1-year temporal cortical thinning correlated with more severe disability. Conclusion: Parieto-temporal baseline CTh abnormalities and thinning pattern over time characterized the main MS clinical phenotypes and were associated with 1-year disability worsening.
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Affiliation(s)
- Milagros Hidalgo de la Cruz
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paola Valsasina
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Claudio Gobbi
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland/Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano, Switzerland
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Chiara Zecca
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland/Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano, Switzerland
| | - Alvino Bisecco
- Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Gioacchino Tedeschi
- Department of Advanced Medical and Surgical Sciences, and 3T MRI Center, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, 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
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
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72
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Magliozzi R, Scalfari A, Pisani AI, Ziccardi S, Marastoni D, Pizzini FB, Bajrami A, Tamanti A, Guandalini M, Bonomi S, Rossi S, Mazziotti V, Castellaro M, Montemezzi S, Rasia S, Capra R, Pitteri M, Romualdi C, Reynolds R, Calabrese M. The CSF Profile Linked to Cortical Damage Predicts Multiple Sclerosis Activity. Ann Neurol 2020; 88:562-573. [PMID: 32418239 DOI: 10.1002/ana.25786] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 05/12/2020] [Accepted: 05/14/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Intrathecal inflammation correlates with the grey matter damage since the early stages of multiple sclerosis (MS), but whether the cerebrospinal fluid (CSF) profile can help to identify patients at risk of disease activity is still unclear. METHODS We evaluated the association between CSF levels of 18 cytokines, previously found to be associated to grey matter damage, and the disease activity, among 99 patients with relapsing-remitting MS, who underwent blinded clinical and 3 T magnetic resonance imaging (MRI) evaluations for 4 years. Groups with evidence of disease activity (EDA) or no evidence of disease activity (NEDA; occurrence of relapses, new white matter lesions, and Expanded Disability Status Scale [EDSS] change) were identified. Cortical lesions and the annualized cortical thinning were also evaluated. RESULTS Forty-one patients experienced EDA and, compared to the NEDA group, had at diagnosis higher CSF levels of CXCL13, CXCL12, IFNγ, TNF, sCD163, LIGHT, and APRIL (p < 0.001). In the multivariate analysis, CXCL13 (hazard ratio [HR] = 1.35; p = 0.0002), LIGHT (HR = 1.22; p = 0.005) and APRIL (HR = 1.78; p = 0.0001) were the CSF molecules more strongly associated with the risk of EDA. The model, including CSF variables, predicted more accurately the occurrence of disease activity than the model with only clinical/MRI parameters (C-index at 4 years = 71% vs 44%). Finally, higher CSF levels of CXCL13 (β = 4.7*10-4 ; p < 0.001), TNF (β = 3.1*10-3 ; p = 0.004), LIGHT (β = 2.6*10-4 ; p = 0.003), sCD163 (β = 4.3*10-3 ; p = 0.009), and TWEAK (β = 3.4*10-3 ; p = 0.024) were associated with more severe cortical thinning. INTERPRETATION A specific CSF profile, mainly characterized by elevated levels of B-cell related cytokines, distinguishes patients at high risk of disease activity and severe cortical damage. The CSF analysis may allow stratifications of patients at diagnosis for optimizing therapeutic approaches. ANN NEUROL 2020;88:562-573.
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Affiliation(s)
- Roberta Magliozzi
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.,Department of Brain Sciences, Imperial College London, Hammersmith Hospital, London, UK
| | - Antonio Scalfari
- Department of Brain Sciences, Imperial College London, Hammersmith Hospital, London, UK
| | - Anna Isabella Pisani
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Stefano Ziccardi
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Damiano Marastoni
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Francesca Benedetta Pizzini
- Neuroradiology & Radiology Units, Department of Diagnostic and Pathology, Integrated University Hospital of Verona, Verona, Italy
| | - Albulena Bajrami
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Agnese Tamanti
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Maddalena Guandalini
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Samuele Bonomi
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Stefania Rossi
- Department of Oncology and Molecular Medicine, Higher Institute of Health Care, Rome, Italy
| | - Valentina Mazziotti
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Marco Castellaro
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Stefania Montemezzi
- Neuroradiology & Radiology Units, Department of Diagnostic and Pathology, Integrated University Hospital of Verona, Verona, Italy
| | | | | | - Marco Pitteri
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | | | - Richard Reynolds
- Department of Brain Sciences, Imperial College London, Hammersmith Hospital, London, UK
| | - Massimiliano Calabrese
- Regional Multiple Sclerosis Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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73
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Filippi M, Preziosa P, Langdon D, Lassmann H, Paul F, Rovira À, Schoonheim MM, Solari A, Stankoff B, Rocca MA. Identifying Progression in Multiple Sclerosis: New Perspectives. Ann Neurol 2020; 88:438-452. [PMID: 32506714 DOI: 10.1002/ana.25808] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 05/18/2020] [Accepted: 05/25/2020] [Indexed: 01/10/2023]
Abstract
The identification of progression in multiple sclerosis is typically retrospective. Given the profound burden of progressive multiple sclerosis, and the recent development of effective treatments for these patients, there is a need to establish measures capable of identifying progressive multiple sclerosis early in the disease course. Starting from recent pathological findings, this review assesses the state of the art of potential measures able to predict progressive multiple sclerosis. Future promising biomarkers that might shed light on mechanisms of progression are also discussed. Finally, expansion of the concept of progressive multiple sclerosis, by including an assessment of cognition, patient-reported outcomes, and comorbidities, is considered. ANN NEUROL 2020;88:438-452.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, 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, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Dawn Langdon
- Royal Holloway, University of London, London, United Kingdom
| | - Hans Lassmann
- Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Friedemann Paul
- NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Àlex Rovira
- Neuroradiology Section, Department of Radiology, Vall d'Hebron University Hospital and Research Institute, Autonomous University of Barcelona, Barcelona, Spain
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, Multiple Sclerosis Center Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Alessandra Solari
- Unit of Neuroepidemiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Bruno Stankoff
- Sorbonne Université, Institut du Cerveau-Paris Brain Institute - ICM, Inserm, CNRS, APHP, Paris, France
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
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74
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Iacobaeus E, Arrambide G, Amato MP, Derfuss T, Vukusic S, Hemmer B, Tintore M, Brundin L. Aggressive multiple sclerosis (1): Towards a definition of the phenotype. Mult Scler 2020; 26:1352458520925369. [PMID: 32530385 PMCID: PMC7412876 DOI: 10.1177/1352458520925369] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 04/06/2020] [Accepted: 04/16/2020] [Indexed: 02/06/2023]
Abstract
While the major phenotypes of multiple sclerosis (MS) and relapsing-remitting, primary and secondary progressive MS have been well characterized, a subgroup of patients with an active, aggressive disease course and rapid disability accumulation remains difficult to define and there is no consensus about their management and treatment. The current lack of an accepted definition and treatment guidelines for aggressive MS triggered a 2018 focused workshop of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) on aggressive MS. The aim of the workshop was to discuss approaches on how to describe and define the disease phenotype and its treatments. Unfortunately, it was not possible to come to consensus on a definition because of unavailable data correlating severe disease with imaging and molecular biomarkers. However, the workshop highlighted the need for future research needed to define this disease subtype while also focusing on its treatment and management. Here, we review previous attempts to define aggressive MS and present characteristics that might, with additional research, eventually help characterize it. A companion paper summarizes data regarding treatment and management.
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Affiliation(s)
- Ellen Iacobaeus
- Department of Clinical Neuroscience, Division of Neurology, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
| | - Georgina Arrambide
- Servei de Neurologia-Neuroimmunologia. Centre d’Esclerosi Múltiple de Catalunya, (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Maria Pia Amato
- Department NeuroFarBa, University of Florence, Florence, Italy/IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Tobias Derfuss
- Departments of Neurology and Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sandra Vukusic
- Service de neurologie, Sclérose en plaques, Pathologies de la myéline et neuro-inflammation, and Centre de Référence des Maladies Inflammatoires Rares du Cerveau et de la Moelle, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon/Bron, France; Centre des Neurosciences de Lyon, Observatoire Français de la Sclérose en Plaques, INSERM 1028 et CNRS UMR5292, Lyon, France; Université Claude Bernard Lyon 1, Faculté de médecine Lyon Est, Lyon, France
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mar Tintore
- Servei de Neurologia-Neuroimmunologia. Centre d’Esclerosi Múltiple de Catalunya, (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Lou Brundin
- Department of Clinical Neuroscience, Division of Neurology, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
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75
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Nali LH, Olival GS, Sousa FTG, de Oliveira ACS, Montenegro H, da Silva IT, Dias-Neto E, Naya H, Spangenberg L, Penalva-de-Oliveira AC, Romano CM. Whole transcriptome analysis of multiple Sclerosis patients reveals active inflammatory profile in relapsing patients and downregulation of neurological repair pathways in secondary progressive cases. Mult Scler Relat Disord 2020; 44:102243. [PMID: 32559700 DOI: 10.1016/j.msard.2020.102243] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 04/21/2020] [Accepted: 05/25/2020] [Indexed: 01/03/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is an inflammatory autoimmune neurologic disease that causes progressive destruction of myelin sheath and axons. Affecting more than 2 million people worldwide, MS may presents distinct clinical courses. However, information regarding key gene expression and genic pathways related to each clinical form is still limited. OBJECTIVE To assess the whole transcriptome of blood leukocytes from patients with remittent-recurrent (RRMS) and secondary-progressive (SPMS) forms to explore the gene expression profile of each form. METHODS Total RNA was obtained and sequenced in Illumina HiSeq platform. Reads were aligned to human genome (GRCh38/hg38), BAM files were mapped and differential expression was obtained with DeSeq2. Up or downregulated pathways were obtained through Ingenuity IPA. Pro-inflammatory cytokines levels were also assessed. RESULTS The transcriptome was generated for nine patients (6 SPMS and 3 RRMS) and 5 healthy controls. A total of 731 and 435 differentially expressed genes were identified in SPMS and RRMS, respectively. RERE, IRS2, SIPA1L1, TANC2 and PLAGL1 were upregulated in both forms, whereas PAD2 and PAD4 were upregulated in RRMS and downregulated in SPMS. Inflammatory and neuronal repair pathways were upregulated in RRMS, which was also observed in cytokine analysis. Conversely, SPMS patients presented IL-8, IL-1, Neurothrophin and Neuregulin pathways down regulated. CONCLUSIONS Overall, the transcriptome of RRMS and SPMS clearly indicated distinct inflammatory profiles, where RRMS presented marked pro-inflammatory profile but SPMS did not. SPMS individuals also presented a decrease on expression of neuronal repair pathways.
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Affiliation(s)
- Luiz H Nali
- Laboratório de Virologia, Instituto de Medicina Tropical de São Paulo, LIM-52 (LIMHC) Universidade de São Paulo, Rua Dr. Enéas de Carvalho Aguiar, 470, São Paulo, 05403-000, Brazil.; Post-graduation Program in Health Sciences, Santo Amaro University, Rua Prof. Enéas de Siqueira Neto, 340, São Paulo, 04829-300, Brazil
| | - Guilherme S Olival
- Departamento de Neurologia Santa Casa de Misericórdia de São Paulo, R. Dr. Cesário Mota Júnior, 112, São Paulo, 01221-020 Brazil
| | - Francielle T G Sousa
- Laboratório de Virologia, Instituto de Medicina Tropical de São Paulo, LIM-52 (LIMHC) Universidade de São Paulo, Rua Dr. Enéas de Carvalho Aguiar, 470, São Paulo, 05403-000, Brazil
| | - Ana Carolina S de Oliveira
- Laboratório de Virologia, Instituto de Medicina Tropical de São Paulo, LIM-52 (LIMHC) Universidade de São Paulo, Rua Dr. Enéas de Carvalho Aguiar, 470, São Paulo, 05403-000, Brazil
| | | | - Israel T da Silva
- Laboratory of Medical Genomics, A.C.Camargo Cancer Center, São Paulo, 01525-001, Brazil
| | - Emamnuel Dias-Neto
- Laboratory of Medical Genomics, A.C.Camargo Cancer Center, São Paulo, 01525-001, Brazil; Laboratory of Neurosciences (LIM-27), Institute of Psychiatry, São Paulo Medical School, University of São Paulo, São Paulo, Brazil
| | - Hugo Naya
- Unidad de Bioinformática Institut Pasteur de Montevideo, Mataojo 2020, Montevideo, 11400, Uruguay
| | - Lucia Spangenberg
- Unidad de Bioinformática Institut Pasteur de Montevideo, Mataojo 2020, Montevideo, 11400, Uruguay
| | - Augusto C Penalva-de-Oliveira
- Departamento de Neurologia Santa Casa de Misericórdia de São Paulo, R. Dr. Cesário Mota Júnior, 112, São Paulo, 01221-020 Brazil; Departamento de Neurologia, Instituto de Infectologia Emilio Ribas, Avenida Doutor Arnaldo, 165, São Paulo, 01246-900, Brazil
| | - Camila M Romano
- Laboratório de Virologia, Instituto de Medicina Tropical de São Paulo, LIM-52 (LIMHC) Universidade de São Paulo, Rua Dr. Enéas de Carvalho Aguiar, 470, São Paulo, 05403-000, Brazil.; Hospital das Clinicas HCFMUSP (LIM52), Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
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76
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Brownlee WJ, Altmann DR, Prados F, Miszkiel KA, Eshaghi A, Gandini Wheeler-Kingshott CAM, Barkhof F, Ciccarelli O. Early imaging predictors of long-term outcomes in relapse-onset multiple sclerosis. Brain 2020; 142:2276-2287. [PMID: 31342055 DOI: 10.1093/brain/awz156] [Citation(s) in RCA: 121] [Impact Index Per Article: 24.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 03/13/2019] [Accepted: 04/16/2019] [Indexed: 11/14/2022] Open
Abstract
The clinical course of relapse-onset multiple sclerosis is highly variable. Demographic factors, clinical features and global brain T2 lesion load have limited value in counselling individual patients. We investigated early MRI predictors of key long-term outcomes including secondary progressive multiple sclerosis, physical disability and cognitive performance, 15 years after a clinically isolated syndrome. A cohort of patients with clinically isolated syndrome (n = 178) was prospectively recruited within 3 months of clinical disease onset and studied with MRI scans of the brain and spinal cord at study entry (baseline) and after 1 and 3 years. MRI measures at each time point included: supratentorial, infratentorial, spinal cord and gadolinium-enhancing lesion number, brain and spinal cord volumetric measures. The patients were followed-up clinically after ∼15 years to determine disease course, and disability was assessed using the Expanded Disability Status Scale, Paced Auditory Serial Addition Test and Symbol Digit Modalities Test. Multivariable logistic regression and multivariable linear regression models identified independent MRI predictors of secondary progressive multiple sclerosis and Expanded Disability Status Scale, Paced Auditory Serial Addition Test and Symbol Digit Modalities Test, respectively. After 15 years, 166 (93%) patients were assessed clinically: 119 (72%) had multiple sclerosis [94 (57%) relapsing-remitting, 25 (15%) secondary progressive], 45 (27%) remained clinically isolated syndrome and two (1%) developed other disorders. Physical disability was overall low in the multiple sclerosis patients (median Expanded Disability Status Scale 2, range 0-10); 71% were untreated. Baseline gadolinium-enhancing (odds ratio 3.16, P < 0.01) and spinal cord lesions (odds ratio 4.71, P < 0.01) were independently associated with secondary progressive multiple sclerosis at 15 years. When considering 1- and 3-year MRI variables, baseline gadolinium-enhancing lesions remained significant and new spinal cord lesions over time were associated with secondary progressive multiple sclerosis. Baseline gadolinium-enhancing (β = 1.32, P < 0.01) and spinal cord lesions (β = 1.53, P < 0.01) showed a consistent association with Expanded Disability Status Scale at 15 years. Baseline gadolinium-enhancing lesions was also associated with performance on the Paced Auditory Serial Addition Test (β = - 0.79, P < 0.01) and Symbol Digit Modalities Test (β = -0.70, P = 0.02) at 15 years. Our findings suggest that early focal inflammatory disease activity and spinal cord lesions are predictors of very long-term disease outcomes in relapse-onset multiple sclerosis. Established MRI measures, available in routine clinical practice, may be useful in counselling patients with early multiple sclerosis about long-term prognosis, and personalizing treatment plans.
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Affiliation(s)
- Wallace J Brownlee
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Dan R Altmann
- Medical Statistics Department, London School of Hygiene and Tropical Medicine, London, UK
| | - Ferran Prados
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.,Universitat Oberta de Catalunya, Barcelona, Spain
| | - Katherine A Miszkiel
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Arman Eshaghi
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.,Brain Connectivity Center, C. Mondino National Neurological Institute, Pavia, Italy.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Frederik Barkhof
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.,Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam, The Netherlands.,National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre, UK
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre, UK
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77
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Preziosa P, Kiljan S, Steenwijk MD, Meani A, van de Berg WDJ, Schenk GJ, Rocca MA, Filippi M, Geurts JJG, Jonkman LE. Axonal degeneration as substrate of fractional anisotropy abnormalities in multiple sclerosis cortex. Brain 2020; 142:1921-1937. [PMID: 31168614 DOI: 10.1093/brain/awz143] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 03/14/2019] [Accepted: 04/09/2019] [Indexed: 12/11/2022] Open
Abstract
Cortical microstructural abnormalities are associated with clinical and cognitive deterioration in multiple sclerosis. Using diffusion tensor MRI, a higher fractional anisotropy has been found in cortical lesions versus normal-appearing cortex in multiple sclerosis. The pathological substrates of this finding have yet to be definitively elucidated. By performing a combined post-mortem diffusion tensor MRI and histopathology study, we aimed to define the histopathological substrates of diffusivity abnormalities in multiple sclerosis cortex. Sixteen subjects with multiple sclerosis and 10 age- and sex-matched non-neurological control donors underwent post-mortem in situ at 3 T MRI, followed by brain dissection. One hundred and ten paraffin-embedded tissue blocks (54 from multiple sclerosis patients, 56 from non-neurological controls) were matched to the diffusion tensor sequence to obtain regional diffusivity measures. Using immunohistochemistry and silver staining, cortical density of myelin, microglia, astrocytes and axons, and density and volume of neurons and glial cells were evaluated. Correlates of diffusivity abnormalities with histological markers were assessed through linear mixed-effects models. Cortical lesions (77% subpial) were found in 27/54 (50%) multiple sclerosis cortical regions. Multiple sclerosis normal-appearing cortex had a significantly lower fractional anisotropy compared to cortex from non-neurological controls (P = 0.047), whereas fractional anisotropy in demyelinated cortex was significantly higher than in multiple sclerosis normal-appearing cortex (P = 0.012) but not different from non-neurological control cortex (P = 0.420). Compared to non-neurological control cortex, both multiple sclerosis normal-appearing and demyelinated cortices showed a lower density of axons perpendicular to the cortical surface (P = 0.012 for both) and of total axons (parallel and perpendicular to cortical surface) (P = 0.028 and 0.012). In multiple sclerosis, demyelinated cortex had a lower density of myelin (P = 0.004), parallel (P = 0.018) and total axons (P = 0.029) versus normal-appearing cortex. Regarding the pathological substrate, in non-neurological controls, cortical fractional anisotropy was positively associated with density of perpendicular, parallel, and total axons (P = 0.031 for all). In multiple sclerosis, normal-appearing cortex fractional anisotropy was positively associated with perpendicular and total axon density (P = 0.031 for both), while associations with myelin, glial and total cells and parallel axons did not survive multiple comparison correction. Demyelinated cortex fractional anisotropy was positively associated with density of neurons, and total cells and negatively with microglia density, without surviving multiple comparison correction. Our results suggest that a reduction of perpendicular axons in normal-appearing cortex and of both perpendicular and parallel axons in demyelinated cortex may underlie the substrate influencing cortical microstructural coherence and being responsible for the different patterns of fractional anisotropy changes occurring in multiple sclerosis cortex.
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Affiliation(s)
- Paolo Preziosa
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, 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
| | - Svenja Kiljan
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Martijn D Steenwijk
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Alessandro Meani
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Wilma D J van de Berg
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Geert J Schenk
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, 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
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, 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
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Laura E Jonkman
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Desai RA, Davies AL, Del Rossi N, Tachrount M, Dyson A, Gustavson B, Kaynezhad P, Mackenzie L, van der Putten MA, McElroy D, Schiza D, Linington C, Singer M, Harvey AR, Tachtsidis I, Golay X, Smith KJ. Nimodipine Reduces Dysfunction and Demyelination in Models of Multiple Sclerosis. Ann Neurol 2020; 88:123-136. [PMID: 32293054 PMCID: PMC7737229 DOI: 10.1002/ana.25749] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 04/13/2020] [Accepted: 04/13/2020] [Indexed: 12/22/2022]
Abstract
Objective Treatment of relapses in multiple sclerosis (MS) has not advanced beyond steroid use, which reduces acute loss of function, but has little effect on residual disability. Acute loss of function in an MS model (experimental autoimmune encephalomyelitis [EAE]) is partly due to central nervous system (CNS) hypoxia, and function can promptly improve upon breathing oxygen. Here, we investigate the cause of the hypoxia and whether it is due to a deficit in oxygen supply arising from impaired vascular perfusion. We also explore whether the CNS‐selective vasodilating agent, nimodipine, may provide a therapy to restore function, and protect from demyelination in 2 MS models. Methods A variety of methods have been used to measure basic cardiovascular physiology, spinal oxygenation, mitochondrial function, and tissue perfusion in EAE. Results We report that the tissue hypoxia in EAE is associated with a profound hypoperfusion of the inflamed spinal cord. Treatment with nimodipine restores spinal oxygenation and can rapidly improve function. Nimodipine therapy also reduces demyelination in both EAE and a model of the early MS lesion. Interpretation Loss of function in EAE, and demyelination in EAE, and the model of the early MS lesion, seem to be due, at least in part, to tissue hypoxia due to local spinal hypoperfusion. Therapy to improve blood flow not only protects neurological function but also reduces demyelination. We conclude that nimodipine could be repurposed to offer substantial clinical benefit in MS. ANN NEUROL 2020 ANN NEUROL 2020;88:123–136
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Affiliation(s)
- Roshni A Desai
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Andrew L Davies
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Natalie Del Rossi
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Mohamed Tachrount
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK.,Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
| | - Alex Dyson
- Bloomsbury Institute for Intensive Care Medicine, Division of Medicine, University College London, London, UK
| | - Britta Gustavson
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Pardis Kaynezhad
- Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Lewis Mackenzie
- School of Physics & Astronomy, University of Glasgow, Glasgow, UK.,Department of Chemistry, Durham University, Durham, UK
| | - Marieke A van der Putten
- School of Physics & Astronomy, University of Glasgow, Glasgow, UK.,Northern Centre for Cancer Care, Freeman Hospital, Newcastle upon Tyne, UK
| | - Daniel McElroy
- Glasgow Biomedical Research Centre, Room B3-19, 120 University Place, University of Glasgow, Glasgow, UK
| | - Dimitra Schiza
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Christopher Linington
- Glasgow Biomedical Research Centre, Room B3-19, 120 University Place, University of Glasgow, Glasgow, UK
| | - Mervyn Singer
- Bloomsbury Institute for Intensive Care Medicine, Division of Medicine, University College London, London, UK
| | - Andrew R Harvey
- School of Physics & Astronomy, University of Glasgow, Glasgow, UK
| | - Ilias Tachtsidis
- Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Xavier Golay
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Kenneth J Smith
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
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79
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Tavazzi E, Zivadinov R, Dwyer MG, Jakimovski D, Singhal T, Weinstock-Guttman B, Bergsland N. MRI biomarkers of disease progression and conversion to secondary-progressive multiple sclerosis. Expert Rev Neurother 2020; 20:821-834. [PMID: 32306772 DOI: 10.1080/14737175.2020.1757435] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Conventional imaging measures remain a key clinical tool for the diagnosis multiple sclerosis (MS) and monitoring of patients. However, most measures used in the clinic show unsatisfactory performance in predicting disease progression and conversion to secondary progressive MS. AREAS COVERED Sophisticated imaging techniques have facilitated the identification of imaging biomarkers associated with disease progression, such as global and regional brain volume measures, and with conversion to secondary progressive MS, such as leptomeningeal contrast enhancement and chronic inflammation. The relevance of emerging imaging approaches partially overcoming intrinsic limitations of traditional techniques is also discussed. EXPERT OPINION Imaging biomarkers capable of detecting tissue damage early on in the disease, with the potential to be applied in multicenter trials and at an individual level in clinical settings, are strongly needed. Several measures have been proposed, which exploit advanced imaging acquisitions and/or incorporate sophisticated post-processing, can quantify irreversible tissue damage. The progressively wider use of high-strength field MRI and the development of more advanced imaging techniques will help capture the missing pieces of the MS puzzle. The ability to more reliably identify those at risk for disability progression will allow for earlier intervention with the aim to favorably alter the disease course.
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Affiliation(s)
- Eleonora Tavazzi
- 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
| | - 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, USA.,Translational Imaging Center, Clinical and Translational Science Institute, 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, State University of New York , Buffalo, NY, USA
| | - Dejan Jakimovski
- 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
| | - Tarun Singhal
- PET Imaging Program in Neurologic Diseases and Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Disease, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School , Boston, MA, USA
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 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, State University of New York , Buffalo, NY, USA.,IRCCS, Fondazione Don Carlo Gnocchi , Milan, Italy
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Scott TF, Bertha N. The impact of multiple sclerosis relapses on worsening over the long term; insights in the treatment era. J Neurol Sci 2020; 413:116773. [PMID: 32193023 DOI: 10.1016/j.jns.2020.116773] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 02/24/2020] [Accepted: 03/10/2020] [Indexed: 12/13/2022]
Abstract
Relapses of multiple sclerosis (MS) are the clinical manifestations of inflammatory events involving eloquent anatomical structures within the central nervous system. Relapses are associated with worsening disability of MS patients in both early and later disease, even after progressive features are seen. The impact of relapses on the long-term course of the disease is now being realized as a generation of treated patients is now elderly. New MRI brain lesions can be viewed as a radiologic manifestation of acute inflammation and are associated with similar prognostic value. The complex relationship between clinical relapse activity and later slow progressive worsening remains incompletely understood, however, there is increasing biological plausibility for a causative association between relapse activity and lifelong disability.
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Affiliation(s)
- Thomas F Scott
- Department of Neurology and Neuroscience Institute, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, PA, United States of America; Department of Neurology, Drexel University College of Medicine, Philadelphia, PA, United States of America.
| | - Nicholas Bertha
- Pennsylvania State College of Medicine, Hershey, PA, United States of America
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81
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Rotstein D, Montalban X. Reaching an evidence-based prognosis for personalized treatment of multiple sclerosis. Nat Rev Neurol 2020; 15:287-300. [PMID: 30940920 DOI: 10.1038/s41582-019-0170-8] [Citation(s) in RCA: 185] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Personalized treatment is ideal for multiple sclerosis (MS) owing to the heterogeneity of clinical features, but current knowledge gaps, including validation of biomarkers and treatment algorithms, limit practical implementation. The contemporary approach to personalized MS therapy depends on evidence-based prognostication, an initial treatment choice and evaluation of early treatment responses to identify the need to switch therapy. Prognostication is directed by baseline clinical, environmental and demographic factors, MRI measures and biomarkers that correlate with long-term disability measures. The initial treatment choice should be a shared decision between the patient and physician. In addition to prognosis, this choice must account for patient-related factors, including comorbidities, pregnancy planning, preferences of the patients and their comfort with risk, and drug-related factors, including safety, cost and implications for treatment sequencing. Treatment response has traditionally been assessed on the basis of relapse rate, MRI lesions and disability progression. Larger longitudinal data sets have enabled development of composite outcome measures and more stringent standards for disease control. Biomarkers, including neurofilament light chain, have potential as early surrogate markers of prognosis and treatment response but require further validation. Overall, attainment of personalized treatment for MS is complex but will be refined as new data become available.
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Affiliation(s)
- Dalia Rotstein
- Division of Neurology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Xavier Montalban
- Division of Neurology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada. .,Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain.
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82
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Oh J, Alikhani K, Bruno T, Devonshire V, Giacomini PS, Giuliani F, Nakhaipour HR, Schecter R, Larochelle C. Diagnosis and management of secondary-progressive multiple sclerosis: time for change. Neurodegener Dis Manag 2019; 9:301-317. [PMID: 31769344 DOI: 10.2217/nmt-2019-0024] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Identifying the transition of relapsing-remitting multiple sclerosis (MS) to the secondary-progressive MS form remains a clinical challenge due to the gradual nature of the transition, superimposed relapses, the heterogeneous course of disease among patients and the absence of validated biomarkers and diagnostic tools. The uncertainty associated with the transition makes clinical care challenging for both patients and physicians. The emergence of new disease-modifying treatments for progressive MS and the increasing emphasis of nonpharmacological strategies mark a new era in the treatment of progressive MS. This article summarizes challenges in diagnosis and management, discusses novel treatment strategies and highlights the importance of establishing a clear diagnosis and instituting an interdisciplinary management plan in the care of patients with progressive MS.
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Affiliation(s)
- Jiwon Oh
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, ON M5B 1W8, Canada
| | - Katayoun Alikhani
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Tania Bruno
- Division of Physiatry, Department of Medicine, University Health Network - Toronto Rehabilitation Institute, University of Toronto, Toronto, ON M4G 1R7, Canada
| | - Virginia Devonshire
- Division of Neurology, Department of Medicine, University of British Columbia MS/NMO Center, Vancouver, BC V6T 1Z3, Canada
| | - Paul S Giacomini
- Department of Neurology, Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Fabrizio Giuliani
- Division of Neurology, Neuroscience & Mental Health Institute, University of Alberta, Edmonton, AB T6G 2B7, Canada
| | | | - Robyn Schecter
- Novartis Pharmaceuticals Canada, Montreal, QC H9S 1A9, Canada
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83
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Chronic inflammation in multiple sclerosis - seeing what was always there. Nat Rev Neurol 2019; 15:582-593. [PMID: 31420598 DOI: 10.1038/s41582-019-0240-y] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/09/2019] [Indexed: 12/18/2022]
Abstract
Activation of innate immune cells and other compartmentalized inflammatory cells in the brains and spinal cords of people with relapsing-remitting multiple sclerosis (MS) and progressive MS has been well described histopathologically. However, conventional clinical MRI is largely insensitive to this inflammatory activity. The past two decades have seen the introduction of quantitative dynamic MRI scanning with contrast agents that are sensitive to the reduction in blood-brain barrier integrity associated with inflammation and to the trafficking of inflammatory myeloid cells. New MRI imaging sequences provide improved contrast for better detection of grey matter lesions. Quantitative lesion volume measures and magnetic resonance susceptibility imaging are sensitive to the activity of macrophages in the rims of white matter lesions. PET and magnetic resonance spectroscopy methods can also be used to detect contributions from innate immune activation in the brain and spinal cord. Some of these advanced research imaging methods for visualization of chronic inflammation are practical for relatively routine clinical applications. Observations made with the use of these techniques suggest ways of stratifying patients with MS to improve their care. The imaging methods also provide new tools to support the development of therapies for chronic inflammation in MS.
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84
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Sechi E, Keegan BM, Kaufmann TJ, Kantarci OH, Weinshenker BG, Flanagan EP. Unilateral motor progression in MS: Association with a critical corticospinal tract lesion. Neurology 2019; 93:e628-e634. [PMID: 31289142 DOI: 10.1212/wnl.0000000000007944] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Accepted: 04/03/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Progressive motor impairment anatomically attributable to a single critical demyelinating lesion on eloquent corticospinal tract locations occurs in progressive solitary sclerosis and in some patients with multiple sclerosis (MS) with highly restricted CNS lesion burden (2-5 lesions). We determined whether a similar critical lesion is found in patients with MS with unilateral motor progression and unlimited lesion burden. METHODS In this observational study, we retrospectively identified Mayo Clinic patients (January 1, 1996-December 31, 2017) with an MS diagnosis (2017 McDonald criteria), ≥1 year of exclusively unilateral motor progression, and >5 demyelinating lesions on MRI. A blinded neuroradiologist identified a single critical lesion (last available MRI) based on prominent size, atrophy, and eloquent corticospinal tract location (spinal cord lateral columns, medullary pyramids, cerebral peduncles, internal capsules). We then determined whether the motor impairment was anatomically attributable to the identified lesion. RESULTS Thirty-eight patients with MS were included: 20 (53%) with primary progressive MS and 18 (47%) with secondary progressive MS. Median age at progression onset was 54 (range 39-73) years. Median Expanded Disability Status Scale score was 5 (range 2.5-7.5) at the last follow-up (median 132.5 months from symptom onset, range 23-390 months). A single critical lesion was identified in 25 of 38 cases (66%): 19 in the cervical cord and 6 in the thoracic cord. In the remaining patients, >1 potential critical lesions were present. The overall probability to detect demyelinating lesions was higher along the corticospinal tract where the motor deficit localized (38 of 38 [100%]) than on the contralateral side (15 of 38 [39%]) (p < 0.0001). CONCLUSIONS In patients with MS with unilateral motor progression, the motor deficit may be attributable to a single critical corticospinal tract lesion.
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Affiliation(s)
- Elia Sechi
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN
| | - B Mark Keegan
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN.
| | - Timothy J Kaufmann
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN
| | - Orhun H Kantarci
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN
| | - Brian G Weinshenker
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN
| | - Eoin P Flanagan
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN.
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Yalachkov Y, Bergmann HJ, Soydaş D, Buschenlange C, Fadai Motlagh LY, Naumer MJ, Kaiser J, Frisch S, Behrens M, Foerch C, Gehrig J. Cognitive Impairment in Multiple Sclerosis Is Reflected by Increased Susceptibility to the Sound-Induced Flash Illusion. Front Neurol 2019; 10:373. [PMID: 31031699 PMCID: PMC6474182 DOI: 10.3389/fneur.2019.00373] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 03/26/2019] [Indexed: 11/16/2022] Open
Abstract
Objective: To determine whether the performance of multiple sclerosis (MS) patients in the sound-induced flash illusion (SiFi), a multisensory perceptual illusion, would reflect their cognitive impairment. Methods: We performed the SiFi task as well as an extensive neuropsychological testing in 95 subjects [39 patients with relapse-remitting MS (RRMS), 16 subjects with progressive multiple sclerosis (PMS) and 40 healthy control subjects (HC)]. Results: MS patients reported more frequently the multisensory SiFi than HC. In contrast, there were no group differences in the control conditions. Essentially, patients with progressive type of MS continued to perceive the illusion at stimulus onset asynchronies (SOA) that were more than three times longer than the SOA at which the illusion was already disrupted for healthy controls. Furthermore, MS patients' degree of cognitive impairment measured with a broad neuropsychological battery encompassing tests for memory, attention, executive functions, and fluency was predicted by their performance in the SiFi task for the longest SOA of 500 ms. Conclusions: These findings support the notion that MS patients exhibit an altered multisensory perception in the SiFi task and that their susceptibility to the perceptual illusion is negatively correlated with their neuropsychological test performance. Since MS lesions affect white matter tracts and cortical regions which seem to be involved in the transfer and processing of both crossmodal and cognitive information, this might be one possible explanation for our findings. SiFi might be considered as a brief, non-expensive, language- and education-independent screening test for cognitive deficits in MS patients.
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Affiliation(s)
- Yavor Yalachkov
- Department of Neurology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | - Dilara Soydaş
- Department of Neurology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | | | | | - Marcus J Naumer
- Institute of Medical Psychology, Goethe-University, Frankfurt am Main, Germany
| | - Jochen Kaiser
- Institute of Medical Psychology, Goethe-University, Frankfurt am Main, Germany
| | - Stefan Frisch
- Department of Neurology, University Hospital Frankfurt, Frankfurt am Main, Germany.,Institute of Psychology, Goethe-University, Frankfurt am Main, Germany
| | - Marion Behrens
- Department of Neurology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Christian Foerch
- Department of Neurology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Johannes Gehrig
- Department of Neurology, University Hospital Frankfurt, Frankfurt am Main, Germany
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Filippi M, Rocca MA. Cortical Lesions on 7-T MRI in Multiple Sclerosis: A Window into Pathogenetic Mechanisms? Radiology 2019; 291:750-751. [PMID: 30964740 DOI: 10.1148/radiol.2019190398] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Massimo Filippi
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy
| | - Maria A Rocca
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy
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87
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Filippi M, Brück W, Chard D, Fazekas F, Geurts JJG, Enzinger C, Hametner S, Kuhlmann T, Preziosa P, Rovira À, Schmierer K, Stadelmann C, Rocca MA. Association between pathological and MRI findings in multiple sclerosis. Lancet Neurol 2019; 18:198-210. [DOI: 10.1016/s1474-4422(18)30451-4] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 10/22/2018] [Accepted: 11/12/2018] [Indexed: 12/12/2022]
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89
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Bevan RJ, Evans R, Griffiths L, Watkins LM, Rees MI, Magliozzi R, Allen I, McDonnell G, Kee R, Naughton M, Fitzgerald DC, Reynolds R, Neal JW, Howell OW. Meningeal inflammation and cortical demyelination in acute multiple sclerosis. Ann Neurol 2018; 84:829-842. [DOI: 10.1002/ana.25365] [Citation(s) in RCA: 76] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 10/18/2018] [Accepted: 10/19/2018] [Indexed: 12/25/2022]
Affiliation(s)
- Ryan J. Bevan
- Institute of Life Sciences; Swansea University Medical School; Swansea United Kingdom
| | - Rhian Evans
- Institute of Life Sciences; Swansea University Medical School; Swansea United Kingdom
| | - Lauren Griffiths
- Institute of Life Sciences; Swansea University Medical School; Swansea United Kingdom
| | - Lewis M. Watkins
- Institute of Life Sciences; Swansea University Medical School; Swansea United Kingdom
| | - Mark I. Rees
- Institute of Life Sciences; Swansea University Medical School; Swansea United Kingdom
| | - Roberta Magliozzi
- Neurology Unit, University of Verona; Verona Italy
- Division of Brain Sciences, Faculty of Medicine; Imperial College London; London United Kingdom
| | - Ingrid Allen
- Wellcome-Wolfson Institute for Experimental Medicine; School of Medicine, Dentistry, and Biomedical Science, Queen's University Belfast; Belfast United Kingdom
| | - Gavin McDonnell
- Belfast Health and Social Care Trust; Belfast United Kingdom
| | - Rachel Kee
- Belfast Health and Social Care Trust; Belfast United Kingdom
| | - Michelle Naughton
- Wellcome-Wolfson Institute for Experimental Medicine; School of Medicine, Dentistry, and Biomedical Science, Queen's University Belfast; Belfast United Kingdom
| | - Denise C. Fitzgerald
- Wellcome-Wolfson Institute for Experimental Medicine; School of Medicine, Dentistry, and Biomedical Science, Queen's University Belfast; Belfast United Kingdom
| | - Richard Reynolds
- Division of Brain Sciences, Faculty of Medicine; Imperial College London; London United Kingdom
| | - James W. Neal
- Institute of Life Sciences; Swansea University Medical School; Swansea United Kingdom
| | - Owain W. Howell
- Institute of Life Sciences; Swansea University Medical School; Swansea United Kingdom
- Division of Brain Sciences, Faculty of Medicine; Imperial College London; London United Kingdom
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