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Kappos L, Yiu S, Dahlke F, Coetzee T, Cutter GR, Yuen S, Bonati U, Lublin FD. Composite Confirmed Disability Worsening/Progression Is a Useful Clinical Endpoint for Multiple Sclerosis Clinical Trials. Neurology 2025; 104:e213558. [PMID: 40258203 DOI: 10.1212/wnl.0000000000213558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 03/05/2025] [Indexed: 04/23/2025] Open
Abstract
BACKGROUND AND OBJECTIVES Sensitive and meaningful disability worsening measures remain an unmet medical need in multiple sclerosis (MS). Composite confirmed disability worsening/progression (cCDW/cCDP) combines the Expanded Disability Status Scale (EDSS) with performance tests of ambulation and dexterity (Timed 25-Foot Walk Test [T25FWT] and Nine-Hole Peg Test [9HPT]). We assessed the relation of changes in these measures to understand the utility of cCDW/cCDP as an endpoint for MS trials. METHODS Clinical trials measuring all components of cCDW were selected for the analysis of (i) individual patient-level data from Roche-sponsored MS studies to characterize the association between performance-test changes and subsequent EDSS changes and (ii) population-level data from published studies reporting treatment effects on EDSS and either cCDP or T25FWT or 9HPT events to examine the relationship between treatment effects on T25FWT and EDSS events. RESULTS Analysis (i): 6 Roche-sponsored Phase III trials comprising 4,979 patients with relapsing-remitting MS (RRMS; n = 1,225), relapsing MS (RMS; n = 1,656), progressive MS (PMS; n = 922), and primary progressive MS (PPMS; n = 1,171), with a data cutoff of November 2022, were included in the individual patient analyses. For all trials, T25FWT events were associated with increased risk of subsequent EDSS events (hazard ratios [HRs], p values: 2.11-5.20, 0.07-<0.001); similar associations were found for 9HPT events with HRs for later EDSS events ranging from 1.47 to 2.66 (p values from 0.24-<0.001). For patients without EDSS events in the first 96 study weeks, T25FWT or 9HPT events in the first 96 study weeks were associated with increased risk of subsequent EDSS events (HRs, p values: T25FWT 1.74-3.26, 0.01-<0.001; 9HPT 1.45-3.08, 0.45-<0.001). Patients with T25FWT or 9HPT events were more likely to experience a ≥8-point change from baseline at the final visit in the 29-item Multiple Sclerosis Impact Scale physical subscale (risk ratios, p values: T25FWT 1.45-2.17, 0.004-<0.001; 9HPT 1.26-1.87, 0.15-0.03). Analysis (ii): In the 9 studies included, treatment effects on T25FWT events were predictive of treatment effects on EDSS events (Spearman correlation [95% CI] = 0.82 [0.34-0.96], p = 0.005). DISCUSSION In this post hoc analysis, worsening on T25FWT or 9HPT was a harbinger of EDSS worsening and treatment effects on T25FWT correlated with those on EDSS. These results establish the predictive validity and clinical relevance of performance-test worsening, thus supporting use of cCDW/cCDP as a primary outcome for progression in MS trials. CLINICAL TRIAL IDENTIFIERS ClinicalTrials.gov Identifiers: NCT01247324 (OPERA I); first submitted November 23, 2010; first patient enrolled: August 31, 2011; available at clinicaltrials.gov/study/NCT01247324. NCT01412333 (OPERA II); first submitted August 8, 2011; first patient enrolled: September 20, 2011; available at clinicaltrials.gov/study/NCT01412333. NCT03085810 (ENSEMBLE); first submitted March 16, 2017; first patient enrolled: March 27, 2017; available at clinicaltrials.gov/study/NCT03085810. NCT01194570 (ORATORIO); first submitted August 28, 2010; first patient enrolled: March 3, 2011; available at clinicaltrials.gov/study/NCT01194570. NCT03523858 (CONSONANCE); first submitted April 16, 2018; first patient enrolled: May 28, 2018; available at clinicaltrials.gov/study/NCT03523858. NCT00087529 (OLYMPUS); first submitted July 9, 2004; first patient enrolled: July 9, 2004; available at clinicaltrials.gov/study/NCT00087529.
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Affiliation(s)
- Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience, University Hospital Basel, University of Basel, Switzerland
| | - Sean Yiu
- Roche Products Ltd, Welwyn Garden City, United Kingdom
| | | | | | - Gary R Cutter
- Department of Biostatistics, University of Alabama at Birmingham
| | | | | | - Fred D Lublin
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY
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Salter A, Lancia S, Kowalec K, Fitzgerald K, Marrie RA. Comorbidities, safety and persistence in phase III clinical trials in multiple sclerosis. J Neurol Neurosurg Psychiatry 2025:jnnp-2024-335710. [PMID: 40413030 DOI: 10.1136/jnnp-2024-335710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Accepted: 05/04/2025] [Indexed: 05/27/2025]
Abstract
BACKGROUND Associations between comorbidity and reduced persistence to disease-modifying therapies (DMTs) in multiple sclerosis (MS) have been identified. Limited information is available regarding the association of comorbidity with safety outcomes. The study objective was to evaluate the association of comorbidities with safety outcomes and persistence. METHODS We conducted a two-stage meta-analysis of individual participant data from phase III clinical trials of MS DMTs. Individual comorbidities and comorbidity burden, defined as the sum of all comorbidities (n=15), were examined. Safety outcomes, defined using adverse event (AE) data, were reviewed to identify specific AEs of interest, including infection; treatment-emergent autoimmune disease; cancer; elevated transaminases and lymphopenia. We also examined any early trial discontinuation. RESULTS We included 17 clinical trials representing 16 794 MS participants. Over a 2-year follow-up, the pooled proportion of AEs was 64% (95% CI 59.4% to 68.9%) and the majority were infection AEs. Increasing comorbidity burden was associated with an increased rate of AEs (rate ratio (95% CI) 1: 1.13 (1.09 to 1.17); 2: 1.19 (1.14 to 1.23); ≥3: 1.25 (1.18 to 1.33)) compared with those with no comorbidity. When pooled across trials, early discontinuation affected 17% of participants (95% CI 13.8% to 20.9%). A higher risk of trial discontinuation was associated with higher comorbidity burden (2: 1.23 (1.07 to 1.42); ≥3: 1.19 (1.01 to 1.40)) compared with those with no comorbidity. Psychiatric disorders were associated with trial discontinuation. CONCLUSIONS Higher comorbidity burden is associated with increased risk of experiencing safety outcomes and early DMT discontinuation among individuals with MS enrolled in clinical trials of MS-DMTs, highlighting the important role of comorbidities in the safety and persistence of DMTs.
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Affiliation(s)
- Amber Salter
- Section on Statistical Planning and Analysis, Neurology, UT Southwestern, Dallas, Texas, USA
| | - Samantha Lancia
- Section on Statistical Planning and Analysis, Neurology, UT Southwestern, Dallas, Texas, USA
| | - Kaarina Kowalec
- College of Pharmacy, University of Manitoba Faculty of Health Sciences, Winnipeg, Manitoba, Canada
- Department of Medical Epidemiology & Biostatistics, Karolinska Institute, Stockholm, Sweden
| | | | - Ruth Ann Marrie
- Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada
- Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
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Bigaut K, Didierjean J, de Seze J. An update on the evaluation of treatment switching criteria in multiple sclerosis. Expert Rev Neurother 2025:1-18. [PMID: 40357916 DOI: 10.1080/14737175.2025.2506462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2025] [Revised: 04/29/2025] [Accepted: 05/12/2025] [Indexed: 05/15/2025]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a complex disorder driven by both inflammatory and neurodegenerative processes. While disease-modifying therapies (DMTs) have significantly improved prognosis, robust treatment switching criteria remain essential to balance efficacy and safety over the disease course. AREAS COVERED This review examines historical and current criteria for escalating DMTs from moderate- to high-efficacy therapies (HET). The authors summarize emerging clinical, imaging, and biological markers that inform decision-making and explore strategies for de-escalation, including DMT discontinuation and innovative approaches such as exit and bridge therapies. EXPERT OPINION Recent advances in MS management emphasize earlier initiation of HET and more stringent switching criteria. Although innovative monitoring tools - including clinical evaluations, imaging, biological markers, and patient-reported outcomes (PROs) - enhance disease assessment, they require further validation, standardization, and broader accessibility. Similarly, de-escalation criteria need additional research to optimize patient selection.
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Affiliation(s)
- Kevin Bigaut
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Centre d'investigation Clinique, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Judicaelle Didierjean
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Centre d'investigation Clinique, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Jerome de Seze
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Centre d'investigation Clinique, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
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Androdias G, Lünemann JD, Maillart E, Amato MP, Audoin B, Bruijstens AL, Bsteh G, Butzkueven H, Ciccarelli O, Cobo-Calvo A, Derfuss T, Di Pauli F, Edan G, Enzinger C, Geraldes R, Granziera C, Hacohen Y, Hartung HP, Hynes S, Inglese M, Kappos L, Kuusisto H, Langer-Gould A, Magyari M, Marignier R, Montalban X, Mycko MP, Nourbakhsh B, Oh J, Oreja-Guevara C, Piehl F, Prosperini L, Sastre-Garriga J, Sellebjerg F, Selmaj K, Siva A, Tallantyre E, van Pesch V, Vukusic S, Weinstock-Guttman B, Zipp F, Tintoré M, Iacobaeus E, Stankoff B. De-escalating and discontinuing disease-modifying therapies in multiple sclerosis. Brain 2025; 148:1459-1478. [PMID: 39707906 PMCID: PMC12073975 DOI: 10.1093/brain/awae409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 10/28/2024] [Accepted: 11/26/2024] [Indexed: 12/23/2024] Open
Abstract
The development of disease-modifying therapies (DMTs) for the treatment of multiple sclerosis (MS) has been highly successful in recent decades. It is now widely accepted that early initiation of DMTs after disease onset is associated with a better long-term prognosis. However, the question of when and how to de-escalate or discontinue DMTs remains open and critical. This topic was discussed during an international focused workshop organized by the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) in 2023. The aim was to review the current evidence on the rationale for, and the potential pitfalls of, treatment de-escalation in MS. Several clinical scenarios emerged, mainly driven by a change in the benefit-risk ratio of DMTs over the course of the disease and with ageing. The workshop also addressed the issue of de-escalation by the type of DMT used and in specific situations, including pregnancy and paediatric onset MS. Finally, we provide practical guidelines for selecting appropriate patients, defining de-escalation and monitoring modalities and outlining unmet needs in this field.
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Affiliation(s)
- Géraldine Androdias
- Service de neurologie, sclérose en plaques, pathologies de la myéline et neuro-inflammation, Centre de Ressources, Recherche et Compétence sur la Sclérose en Plaques, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, 69677 Lyon-Bron, France
- Clinique de la Sauvegarde, Ramsay Santé, Lyon 69009, France
| | - Jan D Lünemann
- Department of Neurology with Institute of Translational Neurology, University and University Hospital Münster, Münster 48149, Germany
| | - Elisabeth Maillart
- Department of Neurology, Multiple Sclerosis Center, Pitié-Salpêtrière Hospital, AP-HP, Paris 75013, France
| | - Maria Pia Amato
- Departmente NEUROFARBA, University of Florence, Florence 50139, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence 50143, Italy
| | - Bertrand Audoin
- Department of Neurology, University Hospital of Marseille, Marseille 13005, France
- Centre de Résonance Magnétique Biologique et Médicale (CRMBM), CNRS, Aix Marseille University, Marseille Cedex 5 13385, France
| | - Arlette L Bruijstens
- Department of Neurology, Erasmus Medical Center, Rotterdam 3015 GD, The Netherlands
| | - Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Vienna 1090, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna 1090, Austria
| | - Helmut Butzkueven
- Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne 3004, Australia
- Department of Neurology, Alfred Health, Melbourne 3004, Australia
| | - Olga Ciccarelli
- Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK
- National Institute for Health and Care Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre, London WC1B 5EH, UK
| | - Alvaro Cobo-Calvo
- Department of Neurology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona 08035, Spain
| | - Tobias Derfuss
- Departments of Neurology and Biomedicine, University Hospital Basel, Basel 4031, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Basel, Basel 4031, Switzerland
| | - Franziska Di Pauli
- Department of Neurology, Medical University of Innsbruck, Innsbruck 6020, Austria
| | - Gilles Edan
- Department of Neurology, University Hospital of Rennes, Rennes 35033, France
- CIC-P 1414 INSERM, University Hospital of Rennes, Rennes 35033, France
| | | | - Ruth Geraldes
- NMO service, Department of Neurology, Oxford University Hospitals, Oxford OX3 9DU, UK
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford OX3 9DU, UK
| | - Cristina Granziera
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Basel, Basel 4031, Switzerland
- Neurology Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel 4031, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel 4031, Switzerland
| | - Yael Hacohen
- Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
- Department of Neurology, Great Ormond Street Hospital for Children, London WC1N 3JH, UK
| | - Hans-Peter Hartung
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf 40225, Germany
- Brain and Mind Center, Medical Faculty, University of Sydney, Sydney, NSW 2050, Australia
- Department of Neurology, Palacky University Olomouc, Olomouc 77900, Czech Republic
| | - Sinéad Hynes
- School of Health Sciences, College of Medicine, Nursing and Health Sciences, University of Galway, Galway H91 TK33, UK
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa 16132, Italy
- MS Center, IRCCS Ospedale Policlinico San Martino, Genoa 16132, Italy
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Basel, Basel 4031, Switzerland
- Departments of Head Spine and Neuromedicine, Biomedicine, Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel 4031, Switzerland
| | - Hanna Kuusisto
- Tampere University Hospital, Department of Neurology, Tampere 33520, Finland
- University of Eastern Finland, Faculty of Social and Welfare Management, Kuopio 70211, Finland
| | - Annette Langer-Gould
- Neurology Department, Los Angeles Medical Center, Southern California Permanente Medical Group, Kaiser Permanente, Los Angeles, CA 90027, USA
| | - Melinda Magyari
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital—Rigshospitalet, Glostrup 2600, Denmark
- Danish Multiple Sclerosis Registry, Copenhagen University Hospital—Rigshospitalet, Glostrup 2600, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
| | - Romain Marignier
- Service de neurologie, sclérose en plaques, pathologies de la myéline et neuro-inflammation, Centre de Ressources, Recherche et Compétence sur la Sclérose en Plaques, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, 69677 Lyon-Bron, France
- Centre de Référence des Maladies Inflammatoires Rares du Cerveau et de la Moelle, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon-Bron 69677, France
| | - Xavier Montalban
- Department of Neurology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona 08035, Spain
- Faculty of Medicine, UVIC-UCC Universitat Central de Catalunya, Vic 08500, Spain
| | - Marcin P Mycko
- Department of Neurology, University of Warmia and Mazury, Olsztyn 10719, Poland
| | - Bardia Nourbakhsh
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore 21287, MD, USA
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, St. Michael’s Hospital, University of Toronto, Toronto M5B1W8, Canada
| | - Celia Oreja-Guevara
- Department of Neurology, Hospital Clinico San Carlos, IdISSC, Madrid 28040, Spain
- Departamento de Medicina, Facultad de Medicina, Universidad Complutense de Madrid (UCM), 28040 Madrid, Spain
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, S171 76 Stockholm, Sweden
| | | | - Jaume Sastre-Garriga
- Department of Neurology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona 08035, Spain
| | - Finn Sellebjerg
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital—Rigshospitalet, Glostrup 2600, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark
| | - Krzysztof Selmaj
- Department of Neurology, University of Warmia and Mazury, Olsztyn 10719, Poland
- Center of Neurology, Lodz 90-324, Poland
| | - Aksel Siva
- Clinical Neuroimmunology Unit & MS Clinic, Department Of Neurology, Istanbul University Cerrahpasa School Of Medicine, Istanbul 34098, Turkey
| | - Emma Tallantyre
- Department of Neurology, University Hospital of Wales, Cardiff CF14 4XW, UK
- Division of Psychological Medicine and Clinical Neuroscience, Cardiff University, Cardiff CF14 4XN, UK
| | - Vincent van Pesch
- Department of Neurology, Cliniques Universitaires Saint-Luc, UCLouvain, Brussels 1200, Belgium
| | - Sandra Vukusic
- Service de neurologie, sclérose en plaques, pathologies de la myéline et neuro-inflammation, Centre de Ressources, Recherche et Compétence sur la Sclérose en Plaques, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, 69677 Lyon-Bron, France
- Université de Lyon, Université Claude Bernard Lyon 1, Lyon-Villeurbanne 69100, France
- Observatoire Français de la Sclérose en Plaques, Centre de Recherche en Neurosciences de Lyon, INSERM 1028 et CNRS UMR 5292, Lyon-Bron 69677, France
- Eugène Devic EDMUS Foundation against multiple sclerosis, Bron 69500, France
| | - Bianca Weinstock-Guttman
- Jacobs School of Medicine and Biomedical Sciences, SUNY University at Buffalo, UB Neurology, Buffalo 14203, NY, USA
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN), and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University, Mainz 55131, Germany
| | - Mar Tintoré
- Department of Neurology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona 08035, Spain
- Faculty of Medicine, UVIC-UCC Universitat Central de Catalunya, Vic 08500, Spain
| | - Ellen Iacobaeus
- Department of Neurology, Karolinska University Hospital, S171 76 Stockholm, Sweden
| | - Bruno Stankoff
- Department of Neurology, Multiple Sclerosis Center, Pitié-Salpêtrière Hospital, AP-HP, Paris 75013, France
- Sorbonne Université, Paris Brain Institute, ICM, Inserm, CNRS, Hôpital de la Pitié Salpêtrière AP-HP, Paris 75013, France
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Albelo-Martínez M, Rizvi S. Progressive multiple sclerosis: Evaluating current therapies and exploring future treatment strategies. Neurotherapeutics 2025:e00601. [PMID: 40345951 DOI: 10.1016/j.neurot.2025.e00601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2025] [Revised: 04/13/2025] [Accepted: 04/21/2025] [Indexed: 05/11/2025] Open
Abstract
Progressive forms of multiple sclerosis (MS) include primary progressive MS (PPMS) and secondary progressive MS (SPMS). Unlike relapsing-remitting MS (RRMS), progressive MS is recognized by relentless progression with accumulating disability, rare to no relapses nor new activity on MRIs. Clinically, neurologic worsening in MS can occur in the relapsing-remitting (RRMS) phase of disease due to incomplete recovery from neuroinflammatory relapses. However, a progressive disease course is the dominant factor related to accumulating disability. There is persistent central nervous system (CNS) compartmentalized inflammation, mitochondrial dysfunction and altered immune responses. Unlike in RRMS, the efficacy of disease modifying agents (DMA) in progressive MS has been limited, highlighting the need for novel therapeutic approaches that address both inflammation and neurodegeneration. This article explores current management of progressive MS, and future directions in targeting the unique pathophysiology of this complex disease.
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Affiliation(s)
- Marelisa Albelo-Martínez
- Department of Neurology, Brown University Health and Rhode Island Hospital, Alpert Medical School of Brown University, USA.
| | - Syed Rizvi
- Department of Neurology, Brown University Health and Rhode Island Hospital, Alpert Medical School of Brown University, USA.
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Leavitt V, Mostert J, Comtois J, Moral E, Brieva L, Repovic P, Bowen JD, Uitdehaag B, Strijbis E, Cutter G, Koch MW. Measuring cognitive change in secondary progressive MS: an analysis of the ASCEND cognition substudy. J Neurol 2025; 272:338. [PMID: 40220155 DOI: 10.1007/s00415-025-13066-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2025] [Revised: 03/21/2025] [Accepted: 03/23/2025] [Indexed: 04/14/2025]
Abstract
BACKGROUND Cognitive impairment is common in multiple sclerosis (MS). Accurate measurement of cognitive change is essential for clinical trials. METHODS The change in cognitive scores, clinical metrics of physical disability, and neuroradiological metrics was quantified in data from a phase-3 randomized controlled trial of natalizumab in secondary progressive MS (SPMS). The adults diagnosed with SPMS for ≥ 2 years and Expanded Disability Status Scale (EDSS) scores from 3 to 6.5 were randomized to receive natalizumab or placebo for 96 weeks. We evaluated change in Symbol Digit Modalities Test (SDMT), Paced Auditory Serial Addition Test (PASAT), Selective Reminding Test (SRT), Brief Visuospatial Memory Test (BVMT-R), two subjective cognitive measures, Beck Depression Inventory (BDI-FS), Timed 25-foot Walk Test, Nine Hole Peg Test, measures of brain volume, and T2 lesion volume. RESULTS The outcomes were evaluated at baseline, 48-, and 96-week follow-up. There were no significant differences in cognitive change between treatment arms. SDMT and PASAT scores improved over 96-weeks: mean SDMT scores by 4.5 points (SD 9.3), mean PASAT scores by 2.4 points (SD 9.4). Verbal and visuospatial memory test performance showed no consistent change. All MRI measures showed decreased brain volumes. NHPT scores worsened little and T25FW showed steadily worsening scores. CONCLUSIONS Improvements in SDMT and PASAT performance were observed regardless of treatment arm. These findings are consistent with prior studies in MS. As it is unlikely that cognition improves over time in people with a chronic neurologic disease, these results support the need for cognitive outcomes that overcome practice and learning effects to accurately quantify change.
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Affiliation(s)
- Victoria Leavitt
- Department of Neurology, Columbia University Irving Medical Center, New York, USA.
| | - Jop Mostert
- Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Jacynthe Comtois
- Department of Medicine, Neurology Service, Hôpital Cité-de-La-Santé de Laval, Laval, Canada
| | - Ester Moral
- Department of Neurology, Hospital Sant Joan Despí Moisès Broggi, Barcelona, Spain
| | - Luis Brieva
- Neuroimmunology Group, Department of Medicine, Department of Neurology, University of Lleida-IRBLleida, Hospital Universitari Arnau de Vilanova, Lleida, Spain
| | - Pavle Repovic
- Multiple Sclerosis Center, Swedish Neuroscience Institute, Seattle, USA
| | - James D Bowen
- Multiple Sclerosis Center, Swedish Neuroscience Institute, Seattle, USA
| | - Bernard Uitdehaag
- Department of Neurology, MS Center Amsterdam, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Eva Strijbis
- Department of Neurology, MS Center Amsterdam, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Gary Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, USA
| | - Marcus W Koch
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
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Goebl P, Wingrove J, Abdelmannan O, Brito Vega B, Stutters J, Ramos SDG, Kenway O, Rossor T, Wassmer E, Arnold DL, Collins DL, Hemingway C, Narayanan S, Chataway J, Chard D, Iglesias JE, Barkhof F, Parker GJM, Oxtoby NP, Hacohen Y, Thompson A, Alexander DC, Ciccarelli O, Eshaghi A. Enabling new insights from old scans by repurposing clinical MRI archives for multiple sclerosis research. Nat Commun 2025; 16:3149. [PMID: 40195318 PMCID: PMC11976987 DOI: 10.1038/s41467-025-58274-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 03/04/2025] [Indexed: 04/09/2025] Open
Abstract
Magnetic resonance imaging (MRI) biomarkers are vital for multiple sclerosis (MS) clinical research and trials but quantifying them requires multi-contrast protocols and limits the use of abundant single-contrast hospital archives. We developed MindGlide, a deep learning model to extract brain region and white matter lesion volumes from any single MRI contrast. We trained MindGlide on 4247 brain MRI scans from 2934 MS patients across 592 scanners, and externally validated it using 14,952 scans from 1,001 patients in two clinical trials (primary-progressive MS and secondary-progressive MS trials) and a routine-care MS dataset. The model outperformed two state-of-the-art models when tested against expert-labelled lesion volumes. In clinical trials, MindGlide detected treatment effects on T2-lesion accrual and cortical and deep grey matter volume loss. In routine-care data, T2-lesion volume increased with moderate-efficacy treatment but remained stable with high-efficacy treatment. MindGlide uniquely enables quantitative analysis of archival single-contrast MRIs, unlocking insights from untapped hospital datasets.
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Affiliation(s)
- Philipp Goebl
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK.
- UCL Hawkes Institute, University College London, London, UK.
| | - Jed Wingrove
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
| | - Omar Abdelmannan
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
| | - Barbara Brito Vega
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
- UCL Hawkes Institute, University College London, London, UK
| | - Jonathan Stutters
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
| | | | - Owain Kenway
- Centre for Advanced Research Computing (ARC), University College London, London, UK
| | - Thomas Rossor
- Department of Paediatric Neurology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
| | - Evangeline Wassmer
- Birmingham Children's Hospital, Birmingham, United Kingdom
- Institute of Health and Neurodevelopment, Aston University, Birmingham, UK
| | - Douglas L Arnold
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - D Louis Collins
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Cheryl Hemingway
- Department of Paediatric Neurology, Great Ormond Street Hospital, London, UK; Institute of Neurology, UCL, London, UK
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research University College London Hospitals Biomedical Research Centre (BRC), London, UK
| | - Declan Chard
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research University College London Hospitals Biomedical Research Centre (BRC), London, UK
| | - Juan Eugenio Iglesias
- UCL Hawkes Institute, University College London, London, UK
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
- UCL Hawkes Institute, University College London, London, UK
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Geoff J M Parker
- UCL Hawkes Institute, University College London, London, UK
- UCL Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- Bioxydyn Limited, Manchester, UK
| | - Neil P Oxtoby
- UCL Hawkes Institute, University College London, London, UK
| | - Yael Hacohen
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
| | - Alan Thompson
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research University College London Hospitals Biomedical Research Centre (BRC), London, UK
| | - Daniel C Alexander
- UCL Hawkes Institute, University College London, London, UK
- UCL Department of Computer Science, University College London, London, UK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research University College London Hospitals Biomedical Research Centre (BRC), London, UK
| | - Arman Eshaghi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, Faculty of Brain Sciences, University College London, London, UK
- UCL Hawkes Institute, University College London, London, UK
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8
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Kirschbaum A, Luessi F, Civelek A, Bittner S, Piepgras J, Zipp F. Atypical adverse events in a real-world study of long-term immunomodulation for multiple sclerosis and neuromyelitis optica spectrum disorder. Ther Adv Neurol Disord 2025; 18:17562864251320206. [PMID: 40291757 PMCID: PMC12032468 DOI: 10.1177/17562864251320206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2024] [Accepted: 01/28/2025] [Indexed: 04/30/2025] Open
Abstract
Background Immunotherapies are integral in managing multiple sclerosis (MS) and related demyelinating diseases, but adverse drug reactions significantly affect the tolerability of disease-modifying therapies (DMTs). Objectives This study aims to assess the safety profile of DMTs within a real-world cohort affected by MS and related diseases and to identify atypical adverse events (AEs) and those of exceptional severity. Methods A retrospective analysis was conducted on 3850 patients with MS, neuromyelitis optica spectrum disorder (NMOSD), and related conditions (2009-2022). Demographic and clinical data were analyzed for patients treated with DMTs. Parameters included prior treatments, AEs, treatment durations, and reasons for discontinuation. Results Of the cohort, 1989 patients (71.1% female) with a median follow-up of 46.3 months during DMT use were included. Monotherapy was employed in 987 patients, while 1002 received sequential DMTs, totaling 3850 treatments. Adverse reactions led to discontinuation in 24.2% of cases, while disease progression accounted for 22.9%. Among 1878 AEs, 31 (1.7%) were atypical, and 59 (3.1%) were unusually severe, which was systematically categorized based on type, timing, and remission. Conclusion Within the confines of this real-world study, DMT administration emerged as generally well tolerated in MS, related demyelinating diseases and NMOSD. The identification of a limited number of atypical AEs, nevertheless, broadens the spectrum of potential complications associated with DMTs. Although weaker evidence for causal associations between drug exposure and observed AEs remains a limitation in observational studies without comparable control groups, this study underscores the value of real-world investigations in offering insights into the long-term safety of DMTs, particularly for rare events.
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Affiliation(s)
- Amelie Kirschbaum
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Felix Luessi
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, Mainz 55131, Germany
| | - Arda Civelek
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Johannes Piepgras
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
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9
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Brieva L, Calles C, Landete L, Oreja-Guevara C. Current challenges in secondary progressive multiple sclerosis: diagnosis, activity detection and treatment. Front Immunol 2025; 16:1543649. [PMID: 40191208 PMCID: PMC11968352 DOI: 10.3389/fimmu.2025.1543649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Accepted: 02/25/2025] [Indexed: 04/09/2025] Open
Abstract
Approximately 50% diagnosed with relapsing-remitting multiple sclerosis (RRMS) transition to secondary progressive multiple sclerosis (SPMS) within 20 years following disease onset. However, early diagnosis of SPMS and effective treatment remain important clinical challenges. The lack of established diagnostic criteria often leads to delays in identifying SPMS. Also, there are limited disease-modifying therapies (DMTs) available for progressive forms of MS, and these therapies require evidence of disease activity to be initiated. This review examines the challenges in diagnosing SPMS at an early stage and summarizes the current and potential use of biomarkers of disease progression in clinical practice. We also discuss the difficulties in initiating the DMTs indicated for active SPMS (aSPMS), particularly in patients already undergoing treatment with DMTs that suppress disease activity, which may mask the presence of inflammatory activity required for the therapy switch. The article also addresses the DMTs available for both active and non-active SPMS, along with the clinical trials that supported the approval of DMTs indicated for aSPMS or relapsing MS in Europe, which includes aSPMS. We also offer insights on when discontinuing these treatments may be appropriate.
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Affiliation(s)
- Luis Brieva
- Neurology Department, Hospital Universitari Arnau de Vilanova, Lleida, Spain
- Medicine Department, Universitat de Lleida (UdL), Lleida, Spain
- Neuroimmunology Group, Institut de Recerca Biomedica de Lleida (IRBLLEIDA), Lleida, Spain
| | - Carmen Calles
- Neurology Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Lamberto Landete
- Neurology Department, Hospital Universitario Doctor Peset, Valencia, Spain
| | - Celia Oreja-Guevara
- Department of Neurology, Hospital Clinico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Departament of Medicine, Medicine Faculty, Universidad Complutense de Madrid (UCM), Madrid, Spain
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10
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Muraro PA, Mariottini A, Greco R, Burman J, Iacobaeus E, Inglese M, Snowden JA, Alexander T, Amato MP, Bø L, Boffa G, Ciccarelli O, Cohen JA, Derfuss T, Farge D, Freedman MS, Gaughan M, Heesen C, Kazmi M, Kirzigov K, Ljungman P, Mancardi G, Martin R, Mehra V, Moiola L, Saccardi R, Tintoré M, Stankoff B, Sharrack B. Autologous haematopoietic stem cell transplantation for treatment of multiple sclerosis and neuromyelitis optica spectrum disorder - recommendations from ECTRIMS and the EBMT. Nat Rev Neurol 2025; 21:140-158. [PMID: 39814869 DOI: 10.1038/s41582-024-01050-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2024] [Indexed: 01/18/2025]
Abstract
Autologous haematopoietic stem cell transplantation (AHSCT) is a treatment option for relapsing forms of multiple sclerosis (MS) that are refractory to disease-modifying therapy (DMT). AHSCT after failure of high-efficacy DMT in aggressive forms of relapsing-remitting MS is a generally accepted indication, yet the optimal placement of this approach in the treatment sequence is not universally agreed upon. Uncertainties also remain with respect to other indications, such as in rapidly evolving, severe, treatment-naive MS, progressive MS, and neuromyelitis optica spectrum disorder (NMOSD). Furthermore, treatment and monitoring protocols, rehabilitation and other supportive care before and after AHSCT need to be optimized. To address these issues, we convened a European Committee for Treatment and Research in Multiple Sclerosis Focused Workshop in partnership with the European Society for Blood and Marrow Transplantation Autoimmune Diseases Working Party, in which evidence and key questions were presented and discussed by experts in these diseases and in AHSCT. Based on the workshop output and subsequent written interactions, this Consensus Statement provides practical guidance and recommendations on the use of AHSCT in MS and NMOSD. Recommendations are based on the available evidence, or on consensus when evidence was insufficient. We summarize the key evidence, report the final recommendations, and identify areas for further research.
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Affiliation(s)
- Paolo A Muraro
- Department of Brain Sciences, Faculty of Medicine, Imperial College, London, UK.
| | - Alice Mariottini
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
- Careggi University Hospital, Florence, Italy
| | - Raffaella Greco
- Unit of Hematology and Bone Marrow Transplantation, IRCCS San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Joachim Burman
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Ellen Iacobaeus
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - John A Snowden
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
- Division of Clinical Medicine, School of Medicine and Population Health, University of Sheffield, Sheffield, UK
| | - Tobias Alexander
- Department of Rheumatology, Charité - Universitätsmedizin Berlin, Berlin, Germany
- German Rheumatology Research Centre, Berlin - A Leibniz Institute, Berlin, Germany
| | - Maria Pia Amato
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Lars Bø
- Department of Neurology, Haukeland University Hospital, and Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Giacomo Boffa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
| | - Olga Ciccarelli
- Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK
- National Institute for Health and Care Research, University College London Hospitals Biomedical Research Centre, London, UK
| | - Jeffrey A Cohen
- Mellen Center, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Tobias Derfuss
- Departments of Neurology and Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University of Basel, Basel, Switzerland
| | - Dominique Farge
- Internal Medicine Unit (UF04) CRMR MATHEC, Maladies auto-immunes et thérapie cellulaire; Saint-Louis Hospital, AP-HP, Paris-Cite University, Paris, France
- Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Mark S Freedman
- University of Ottawa, Department of Medicine Ottawa, Ottawa, Ontario, Canada
- Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Maria Gaughan
- Department of Neurology, Beaumont Hospital, Dublin, Ireland
| | - Christoph Heesen
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Majid Kazmi
- Guy's and St Thomas' NHS Trust, King's College Hospital NHS Trust, London, UK
- London Bridge Hospital, London, UK
- Department of Haematological Medicine, King's College Hospital, London, UK
| | - Kirill Kirzigov
- Nikolay Blokhin National Medical Research Center of Oncology, Moscow, Russia
| | - Per Ljungman
- Department. of Cellular Therapy and Allogeneic Stem Cell Transplantation, Karolinska University Hospital, Karolinska Comprehensive Cancer Center, Stockholm, Sweden
- Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Gianluigi Mancardi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DiNOGMI), University of Genoa, Genoa, Italy
| | - Roland Martin
- Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland
- Therapeutic Immune Design Unit, Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, Stockholm, Sweden
- Cellerys AG Schlieren, Schlieren, Switzerland
| | - Varun Mehra
- Guy's and St Thomas' NHS Trust, King's College Hospital NHS Trust, London, UK
- Department of Haematological Medicine, King's College Hospital, London, UK
| | - Lucia Moiola
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Mar Tintoré
- Multiple Sclerosis Centre of Catalonia, Department of Neurology, Barcelona, Spain
- Vall d'Hebron University Hospital, Vall d Hebron Research Institute, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
- Universitat de Vic (UVIC-UCC), Vic, Spain
| | - Bruno Stankoff
- Sorbonne Université, ICM, Paris Brain Institute, CNRS, Inserm, Paris, France
- Neurology Department, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Basil Sharrack
- Department of Neuroscience, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
- Sheffield NIHR Translational Neuroscience BRC, University of Sheffield, Sheffield, UK
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11
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Lai S, Wu X, Liu Y, Liu B, Wu H, Ma K. Interaction between Th17 and central nervous system in multiple sclerosis. Brain Behav Immun Health 2025; 43:100928. [PMID: 39845807 PMCID: PMC11751430 DOI: 10.1016/j.bbih.2024.100928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Revised: 12/18/2024] [Accepted: 12/21/2024] [Indexed: 01/24/2025] Open
Abstract
Image 1.
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Affiliation(s)
- Shixin Lai
- Centre for Infection and Immunity Studies, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Xiaomin Wu
- Centre for Infection and Immunity Studies, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Yue Liu
- Centre for Infection and Immunity Studies, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Bo Liu
- Centre for Infection and Immunity Studies, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Haiqi Wu
- Centre for Infection and Immunity Studies, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Kongyang Ma
- Centre for Infection and Immunity Studies, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
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12
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Belwal P, Singh S. Deep Learning techniques to detect and analysis of multiple sclerosis through MRI: A systematic literature review. Comput Biol Med 2025; 185:109530. [PMID: 39693692 DOI: 10.1016/j.compbiomed.2024.109530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 10/30/2024] [Accepted: 12/03/2024] [Indexed: 12/20/2024]
Abstract
Deep learning (DL) techniques represent a rapidly advancing field within artificial intelligence, gaining significant prominence in the detection and analysis of various medical conditions through the analysis of medical data. This study presents a systematic literature review (SLR) focused on deep learning methods for the detection and analysis of multiple sclerosis (MS) using magnetic resonance imaging (MRI). The initial search identified 401 articles, which were rigorously screened, a selection of 82 highly relevant studies. These selected studies primarily concentrate on key areas such as multiple sclerosis, deep learning, convolutional neural networks (CNN), lesion segmentation, and classification, reflecting their alignment with the current state of the art. This review comprehensively examines diverse deep-learning approaches for MS detection and analysis, offering a valuable resource for researchers. Additionally, it presents key insights by summarizing these DL techniques for MS detection and analysis using MRI in a structured tabular format.
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Affiliation(s)
- Priyanka Belwal
- Department of Computer Science and Engineering, NIT Uttarakhand, India.
| | - Surendra Singh
- Department of Computer Science and Engineering, NIT Uttarakhand, India.
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13
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Jiang X, McGinley M, Johnston J, Alberts J, Bermel R, Ontaneda D, Naismith RT, Hyde R, Levitt N, van Beek J, Sun Z, Campbell N, Barro C. A digital version of the nine-hole peg test: Speed may be a more reliable measure of upper-limb disability than completion time in patients with multiple sclerosis. Mult Scler 2025; 31:81-92. [PMID: 39618060 DOI: 10.1177/13524585241301854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2025]
Abstract
BACKGROUND A digital adaptation of the nine-hole peg test (9HPT) was developed with the potential to provide novel disability features for patients with multiple sclerosis (PwMS). OBJECTIVES The objectives were to evaluate the 9HPT features based on reliability, prognosis, and discrimination between treatment groups. METHODS The MS partners Advancing Technology and Health Solutions (MS PATHS) cohort data were used to derive new features including completion time and speed. Association and reliability between features and clinical outcomes were tested by intraclass correlation coefficients (ICCs) with repeated measures. The added prognostic value of the features for a clinically meaningful decline was assessed by time-to-event analyses with likelihood ratio tests. The estimated effect size between treatment efficacy groups was acquired from linear mixed-effects models. Sample size was calculated for a hypothetical randomized clinical trial. RESULTS For the 10,843 PwMS, speed and completion time were associated with MS disability. Compared with time, speed showed higher reliability (ICC = 0.78 vs 0.74), added benefits in predicting disability worsening (p < 0.001), better discrimination between high- and low-efficacy groups (effect size: 0.035 vs 0.015), and an 18% reduction in required sample size for a 1-year clinical trial. CONCLUSION Integrating horizontal hand distances traveled over the 9HPT pegboard can be a more reliable measure of hand function.
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Affiliation(s)
| | | | - Joshua Johnston
- Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA
| | - Jay Alberts
- Biomedical Engineering, Cleveland Clinic, Cleveland, OH, USA
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14
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Braun B, Fischbach F, Pfeffer LK, Richter J, Janson D, Kröger NM, Mariottini A, Heesen C, Häußler V. Exploring the therapeutic potential of autologous hematopoietic stem cell transplantation in progressive multiple sclerosis-a systematic review. Eur J Neurol 2024; 31:e16427. [PMID: 39104136 PMCID: PMC11555148 DOI: 10.1111/ene.16427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 06/27/2024] [Accepted: 07/18/2024] [Indexed: 08/07/2024]
Abstract
BACKGROUND AND PURPOSE The aim was to determine the value of autologous haematopoietic stem cell transplantation (aHSCT) as a therapeutic intervention for progressive multiple sclerosis (PMS) based on a systematic review of the current literature. METHODS All studies from the databases PubMed and Google Scholar published in English before February 2024 which provided individual data for PMS patients were systematically reviewed. PICO was defined as population (P), primary progressive MS and secondary progressive MS patients; intervention (I), treatment with aHSCT; comparison (C), none, disease-modifying therapy treated/relapsing-remitting MS cohorts if available; outcome (O), transplant-related mortality, progression-free survival (PFS) and no evidence of disease activity. RESULTS A total of 15 studies met the criteria including 665 patients with PMS (74 primary progressive MS, 591 secondary progressive MS) and 801 patients with relapsing-remitting MS as controls. PFS data were available for 647 patients. PMS patients showed more severe disability at baseline than relapsing-remitting MS patients. The average transplant-related mortality for PMS in 10 studies was 1.9%, with 10 deaths in 528 patients. PFS ranged from 0% to 78% in PMS groups 5 years after treatment initiation, demonstrating a high variability. No evidence of disease activity scores at 5 years ranged from 0% to 75%. CONCLUSION Based on the available data, aHSCT does not halt progression in people with PMS. However, there appears to be evidence of improved outcome in selected patients. Due to the heterogeneity of the available data, more comprehensive clinical trials assessing the efficacy of aHSCT across different patient groups are urgently needed to reduce variability and improve patient stratification.
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Affiliation(s)
- Bente Braun
- Institute of Neuroimmunology and Multiple SclerosisUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
| | - Felix Fischbach
- Institute of Neuroimmunology and Multiple SclerosisUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
| | - Lena Kristina Pfeffer
- Institute of Neuroimmunology and Multiple SclerosisUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
| | - Johanna Richter
- Department of Stem Cell TransplantationUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Dietlinde Janson
- Department of Stem Cell TransplantationUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Nicolaus M. Kröger
- Department of Stem Cell TransplantationUniversity Medical Center Hamburg‐EppendorfHamburgGermany
| | - Alice Mariottini
- Department of Neurosciences, Psychology, Drug Research and Child HealthUniversity of FlorenceFlorenceItaly
- Department Neurology IICareggi University HospitalFlorenceItaly
| | - Christoph Heesen
- Institute of Neuroimmunology and Multiple SclerosisUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
- Department of NeurologyUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
| | - Vivien Häußler
- Institute of Neuroimmunology and Multiple SclerosisUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
- Department of NeurologyUniversity Medical Centre Hamburg‐EppendorfHamburgGermany
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15
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Koch MW, Camara-Lemarroy C, Strijbis E, Mostert J, Leavitt VM, Repovic P, Bowen JD, Comtois J, Uitdehaag B, Cutter G. Selecting Informative Patients for Phase 2 Progressive Trials in MS: Design Considerations for Phase 2 Clinical Trials in Progressive MS. Mult Scler 2024; 30:41-47. [PMID: 39245930 PMCID: PMC11633076 DOI: 10.1177/13524585241274620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 07/08/2024] [Accepted: 07/18/2024] [Indexed: 09/10/2024]
Abstract
While relapsing-remitting multiple sclerosis (MS) has many therapeutic options, progressive forms of MS remain largely untreatable. Phase 2 clinical trials are our main tool to advance new treatments for progressive MS. Given the complexities of progressive MS, it will likely require many phase 2 trials to improve its treatment. To conduct informative and efficient phase 2 trials, it is important that such trials are designed in a way that they can identify a successful treatment as quickly and with as few participants as possible. In this topical review, we discuss cohort selection, outcome selection, cohort enrichment, and dosing selection as strategies to optimize the efficiency of phase 2 clinical trials in progressive MS.
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Affiliation(s)
- Marcus W. Koch
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | | | - Eva Strijbis
- Department of Neurology, MS Center Amsterdam, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Jop Mostert
- Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Victoria M. Leavitt
- Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Pavle Repovic
- Multiple Sclerosis Center, Swedish Neuroscience Institute, Seattle, WA, USA
| | - James D. Bowen
- Multiple Sclerosis Center, Swedish Neuroscience Institute, Seattle, WA, USA
| | - Jacynthe Comtois
- Department of Medicine, Neurology Service, Hôpital de la Cité-de-la-Santé, Laval, QC, Canada
| | - Bernard Uitdehaag
- Department of Neurology, MS Center Amsterdam, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Gary Cutter
- Department of Biostatistics, The University of Alabama at Birmingham, Birmingham, AL, USA
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16
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Petrou DP. Untackling the economics of multiple sclerosis: A systematic review of economic evaluations of disease-modifying therapies indicated for multiple sclerosis. Mult Scler Relat Disord 2024; 92:106161. [PMID: 39579644 DOI: 10.1016/j.msard.2024.106161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 11/02/2024] [Accepted: 11/05/2024] [Indexed: 11/25/2024]
Abstract
OBJECTIVES Multiple sclerosis (MS) comprises a chronic, neurodegenerative, and inflammatory illness of the central nervous system that affects 2.8 million people worldwide. MS is only treatable, and to this direction, the disease armamentarium has been significantly enriched with new agents, albeit with burgeoning costs and engulfed by uncertainty. The scope of this review is to assess the efficiency of MS agents. METHODS We performed a systematic literature review, spanning from 2000 to 2023 on adult patients with any form of MS, receiving any MS indicated modality and whose outcome was ICUR and ICER. The methodological quality of the studies was assessed with the Quality of Health Economics Studies tool. RESULTS We identified 57 studies that met the inclusion criteria. Studies were hailing from 20 countries and a multitude of methodological approaches were documented across several types of MS. A substantial level of divergence regarding results was noted. Country setting, study perspective (societal vs payer) the selection of the benchmark treatment, data extrapolation beyond the reported timeframe of the trial and time horizon of the model exerted a substantial impact on the results. Dimethyl fumarate was consistently interrelated with a positive cost-effectiveness ratio. The same applies for fampridine, while Cladribine was proved to be a dominating agent. Ocrelizumab also evinced efficiency. The same applies for the early data of Siponimod and ofatumumab, however the breadth of their studies lags compares to other agents, and these results have to be further corroborated. On the contrary Interferons demonstrated a non-efficient profile and their use as a comparative benchmark arm brought about several complications regarding the incremental financial aspect of economic evaluations, since they are commonly used as such. The results of fingolimod and natalizumab studies are embroiled in uncertainty. Moreover, the efficiency factor was positively correlated by earlier access of patients to these products, rather than delayed one. Result discrepancies among the same country were also imputed to the adopted utility and disutility values and the methodological approach for data extrapolation. Results were sensitive to an array of factors. Among them, the effectiveness of the products, coupled with the cost of the agents emerged as the most important drivers. Uncertainty was further compounded by several other parameters such as discounting, efficacy waning, horizon of the study, disability base rate and utility of the patients. We also outlined that the efficiency of product is pertinent to the disease type. Results such as dominance must be interpreted with caution since in certain cases a dominating agent was proved to be as such by capitalizing on marginal incremental health gains, compared to the standard comparative treatment. CONCLUSIONS An increasing body of evidence consisting of economic evaluations for MS was retrieved. These studies exhibited high quality, however, the consistency regarding results was impaired.
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Affiliation(s)
- Dr Panagiotis Petrou
- Pharmacoepidemiology/Pharmacovigilance, Pharmacy School, Department of Health Sciences, School Of Life and Health Sciences, University of Nicosia, Nicosia, Cyprus; Senior Officer, Health Insurance Organisation, Cyprus
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17
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Kalia LV, Asis A, Arbour N, Bar-Or A, Bove R, Di Luca DG, Fon EA, Fox S, Gan-Or Z, Gommerman JL, Kang UJ, Klawiter EC, Koch M, Kolind S, Lang AE, Lee KK, Lincoln MR, MacDonald PA, McKeown MJ, Mestre TA, Miron VE, Ontaneda D, Rousseaux MWC, Schlossmacher MG, Schneider R, Stoessl AJ, Oh J. Disease-modifying therapies for Parkinson disease: lessons from multiple sclerosis. Nat Rev Neurol 2024; 20:724-737. [PMID: 39375563 DOI: 10.1038/s41582-024-01023-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2024] [Indexed: 10/09/2024]
Abstract
The development of disease-modifying therapies (DMTs) for neurological disorders is an important goal in modern neurology, and the associated challenges are similar in many chronic neurological conditions. Major advances have been made in the multiple sclerosis (MS) field, with a range of DMTs being approved for relapsing MS and the introduction of the first DMTs for progressive MS. By contrast, people with Parkinson disease (PD) still lack such treatment options, relying instead on decades-old therapeutic approaches that provide only symptomatic relief. To address this unmet need, an in-person symposium was held in Toronto, Canada, in November 2022 for international researchers and experts in MS and PD to discuss strategies for advancing DMT development. In this Roadmap article, we highlight discussions from the symposium, which focused on therapeutic targets and preclinical models, disease spectra and subclassifications, and clinical trial design and outcome measures. From these discussions, we propose areas for novel or deeper exploration in PD using lessons learned from therapeutic development in MS. In addition, we identify challenges common to the PD and MS fields that need to be addressed to further advance the discovery and development of effective DMTs.
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Affiliation(s)
- Lorraine V Kalia
- Edmond J Safra Program in Parkinson's Disease, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada.
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
| | | | - Nathalie Arbour
- Department of Neurosciences, Université de Montreal, Montreal, Quebec, Canada
- Centre de Recherche du CHUM (CRCHUM), Montreal, Quebec, Canada
| | - Amit Bar-Or
- Division of MS and Related Disorders, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
- Centre for Neuroinflammation and Experimental Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Riley Bove
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Daniel G Di Luca
- Edmond J Safra Program in Parkinson's Disease, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Edward A Fon
- The Neuro (Montreal Neurological Institute-Hospital), Montreal, Quebec, Canada
- Department of Neurology & Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Susan Fox
- Edmond J Safra Program in Parkinson's Disease, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Ziv Gan-Or
- The Neuro (Montreal Neurological Institute-Hospital), Montreal, Quebec, Canada
- Department of Neurology & Neurosurgery, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Jennifer L Gommerman
- Department of Immunology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Un Jung Kang
- Department of Neurology, Grossman School of Medicine, NYU Langone Health, New York, NY, USA
- Parekh Center for Interdisciplinary Neurology, Grossman School of Medicine, NYU Langone Health, New York, NY, USA
- Fresco Institute for Parkinson's and Movement Disorders, Grossman School of Medicine, NYU Langone Health, New York, NY, USA
- Department of Neuroscience and Physiology, Grossman School of Medicine, NYU Langone Health, New York, NY, USA
| | - Eric C Klawiter
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Marcus Koch
- University of Calgary MS Clinic, Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Shannon Kolind
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada
| | - Anthony E Lang
- Edmond J Safra Program in Parkinson's Disease, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Matthew R Lincoln
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Barlo MS Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Penny A MacDonald
- Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada
| | - Martin J McKeown
- Pacific Parkinson's Research Centre, Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Tiago A Mestre
- Parkinson's Disease and Movement Disorders Clinic, Division of Neurology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- University of Ottawa Brain and Mind Research Institute, Ottawa, Ontario, Canada
| | - Veronique E Miron
- Department of Immunology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- The United Kingdom Dementia Research Institute, The University of Edinburgh, Edinburgh, UK
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
| | - Maxime W C Rousseaux
- University of Ottawa Brain and Mind Research Institute, Ottawa, Ontario, Canada
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Michael G Schlossmacher
- Parkinson's Disease and Movement Disorders Clinic, Division of Neurology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- University of Ottawa Brain and Mind Research Institute, Ottawa, Ontario, Canada
| | - Raphael Schneider
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Barlo MS Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - A Jon Stoessl
- Pacific Parkinson's Research Centre, Division of Neurology, University of British Columbia, Vancouver, British Columbia, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Barlo MS Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
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Scaramozza M, Ruet A, Chiesa PA, Ahamada L, Bartholomé E, Carment L, Charre-Morin J, Cosne G, Diouf L, Guo CC, Juraver A, Kanzler CM, Karatsidis A, Mazzà C, Penalver-Andres J, Ruiz M, Saubusse A, Simoneau G, Scotland A, Sun Z, Tang M, van Beek J, Zajac L, Belachew S, Brochet B, Campbell N. Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study. JMIR Form Res 2024; 8:e60673. [PMID: 39515815 PMCID: PMC11584543 DOI: 10.2196/60673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 09/13/2024] [Accepted: 10/03/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND Smartphones and wearables are revolutionizing the assessment of cognitive and motor function in neurological disorders, allowing for objective, frequent, and remote data collection. However, these assessments typically provide a plethora of sensor-derived measures (SDMs), and selecting the most suitable measure for a given context of use is a challenging, often overlooked problem. OBJECTIVE This analysis aims to develop and apply an SDM selection framework, including automated data quality checks and the evaluation of statistical properties, to identify robust SDMs that describe the cognitive and motor function of people with multiple sclerosis (MS). METHODS The proposed framework was applied to data from a cross-sectional study involving 85 people with MS and 68 healthy participants who underwent in-clinic supervised and remote unsupervised smartphone-based assessments. The assessment provided high-quality recordings from cognitive, manual dexterity, and mobility tests, from which 47 SDMs, based on established literature, were extracted using previously developed and publicly available algorithms. These SDMs were first separately and then jointly screened for bias and normality by 2 expert assessors. Selected SDMs were then analyzed to establish their reliability, using an intraclass correlation coefficient and minimal detectable change at 95% CI. The convergence of selected SDMs with in-clinic MS functional measures and patient-reported outcomes was also evaluated. RESULTS A total of 16 (34%) of the 47 SDMs passed the selection framework. All selected SDMs demonstrated moderate-to-good reliability in remote settings (intraclass correlation coefficient 0.5-0.85; minimal detectable change at 95% CI 19%-35%). Selected SDMs extracted from the smartphone-based cognitive test demonstrated good-to-excellent correlation (Spearman correlation coefficient, |ρ|>0.75) with the in-clinic Symbol Digit Modalities Test and fair correlation with Expanded Disability Status Scale (EDSS) scores (0.25≤|ρ|<0.5). SDMs extracted from the manual dexterity tests showed either fair correlation (0.25≤|ρ|<0.5) or were not correlated (|ρ|<0.25) with the in-clinic 9-hole peg test and EDSS scores. Most selected SDMs from mobility tests showed fair correlation with the in-clinic timed 25-foot walk test and fair to moderate-to-good correlation (0.5<|ρ|≤0.75) with EDSS scores. SDM correlations with relevant patient-reported outcomes varied by functional domain, ranging from not correlated (cognitive test SDMs) to good-to-excellent correlation (|ρ|>0.75) for mobility test SDMs. Overall, correlations were similar when smartphone-based tests were performed in a clinic or remotely. CONCLUSIONS Reported results highlight that smartphone-based assessments are suitable tools to remotely obtain high-quality SDMs of cognitive and motor function in people with MS. The presented SDM selection framework promises to increase the interpretability and standardization of smartphone-based SDMs in people with MS, paving the way for their future use in interventional trials.
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Affiliation(s)
| | - Aurélie Ruet
- Department of Neurology, CHU de Bordeaux, Bordeaux, France
- U1215 INSERM, University of Bordeaux, Bordeaux, France
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Bruno Brochet
- U1215 INSERM, University of Bordeaux, Bordeaux, France
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19
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Bastos A, Soares M, Guimarães J. Markers of secondary progression in multiple sclerosis. Mult Scler Relat Disord 2024; 91:105881. [PMID: 39277977 DOI: 10.1016/j.msard.2024.105881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 09/02/2024] [Accepted: 09/06/2024] [Indexed: 09/17/2024]
Abstract
INTRODUCTION There is no globally accepted definition of Secondary Progressive Multiple Sclerosis (SPMS) or set of unambiguous clinical, radiological, or other criteria that can accurately identify patients who transition to SPMS. Thus, the SPMS diagnosis is almost always a retrospective and frequently delayed process. OBJECTIVE The aim of this study was to elucidate the current understanding of phenotypic changes throughout MS course and provide insights into the detection of SPMS from the available literature on this diagnostic landscape. METHODS Comprehensive literature review aiming at detecting the transition from RRMS to SPMS. A search for relevant publications was conducted across different databases, scrutinizing studies that investigated tools and biomarkers for an accurate diagnosis of SPMS. RESULTS 62 studies from the past two decades were included. The EDSS-plus was shown to be more sensitive than the EDSS alone in identifying disability progression. We found some helpful indicators for diagnosing SPMS, including cognitive impairment, particularly on working memory, information processing speed, and verbal fluency; presence of slowly expanding lesions on MRI; thinning of retinal layers on OCT. Also, glial markers as Glial Fibrillary Acidic Protein and Chitinase-3-like protein 1 might be more suitable to identify the conversion to progressive disease than Neurofilament light chain. Certain subjective symptoms seem to be more prevalent in the SPMS phase, although further studies are needed to understand whether patient reported outcomes' measures (PROMs) and which ones could be useful in detecting the transition to a progressive phenotype. CONCLUSION Our review highlights the emergence of useful biomarkers in early detection of progression of MS, such as cognitive impairment, MRI, and glial markers. We are getting closer to revolutionising the SPMS diagnosis and clinical management as we get a deeper understanding of these biomarkers.
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Affiliation(s)
- André Bastos
- Faculty of Medicine of University of Porto, Porto, Portugal.
| | - Mafalda Soares
- Faculty of Medicine of University of Porto, Porto, Portugal; Department of Neurology, Saint Joseph's Local Health Unit, Lisbon, Portugal
| | - Joana Guimarães
- Faculty of Medicine of University of Porto, Porto, Portugal; Department of Neurology, Saint John's Local Health Unit, Porto, Portugal
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20
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Sandi D, Kokas Z, Kincses ZT, Füvesi J, Fricska-Nagy Z, Vörös E, Biernacki T, Vécsei L, Klivényi P, Bencsik K. NEDA-state, psychological symptoms and quality of life are stable in natalizumab-treated multiple sclerosis patients: An up to 6-years long follow-up study. Heliyon 2024; 10:e39536. [PMID: 39502229 PMCID: PMC11535987 DOI: 10.1016/j.heliyon.2024.e39536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 10/14/2024] [Accepted: 10/16/2024] [Indexed: 11/08/2024] Open
Abstract
Introduction Natalizumab (NAT), a highly effective disease modifying therapy (DMT) in relapsing-remitting multiple sclerosis (RRMS), was approved for clinical use in Hungary on February 1, 2010. In this study we aimed to assess its effectiveness in view of the concept of "No Evidence of Disease Activity" (NEDA-3), furthermore evaluate its effect on limb function, pathopsychological symptoms (cognition, fatigue, depression) and quality of life (QoL). Patients and methods From February 1, 2010, to December 1, 2022, 121 eligible patients were consecutively enrolled from the MS center of the University of Szeged, Hungary. Here, we report data on 6-years of follow-up. First, we evaluated the proportion of patients reaching the NEDA-3 state and any possible influencing factors. Then, we assessed the change of upper and lower limb functions via the 9-hole-peg test (9HPT) and the 25-feet walk test (TW25F). Finally, we assessed the change of pathopsychological symptoms (cognition, fatigue, depression) and QoL via the BICAMS, FIS, BDI-II and MSQoL-54 questionnaires, and the possible influencing factors behind it. Results Cumulatively, 97 patients (80.2 %) achieved NEDA-3 throughout the follow-up period. On a year-by-year basis, the proportion changed from 95.9 % in the 1st year to 84.3 %, 81.3 %, 76.4 %, 74.5 % and 78.9 % in the 2nd, 3rd, 4th, 5th and 6th year respectively (p<0.001). Baseline EDSS scores and the type of preceding DMT affected this outcome. Both the upper and the lower limb functions remained stable. Cognitive functions improved (p<0.001), fatigue and depression scores remained stable during the follow-up period. QoL remained stable or improved in all subscales of MSQoL-54 questionnaire. Conclusion Our 6-years long detailed follow-up study demonstrates that NAT not only reduces disease activity and progression. It effectively protects from the worsening of limb function, cognitive and other psychological impairments, and stabilizes the patients' quality of life in basically every measurable aspect.
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Affiliation(s)
- Dániel Sandi
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsófia Kokas
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsigmond Tamás Kincses
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
- Department of Radiology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Judit Füvesi
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsanett Fricska-Nagy
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Erika Vörös
- Department of Radiology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Tamás Biernacki
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - László Vécsei
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
- ELKH-SZTE Neuroscience Research Group, University of Szeged, Szeged, Hungary
| | - Péter Klivényi
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Krisztina Bencsik
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
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Melo EMVD, Rodrigues BCA, Cabral FT, Villarim LAMT, Mendes MF. Patient-centered pregnancy planning in multiple sclerosis: evidence for a new era. ARQUIVOS DE NEURO-PSIQUIATRIA 2024; 82:1-11. [PMID: 39357853 DOI: 10.1055/s-0044-1791202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2024]
Abstract
A few decades ago, women diagnosed with multiple sclerosis were discouraged from becoming pregnant. However, with new knowledge about the disease and treatments, this recommendation has changed, and it is pregnancy after the diagnosis of the disease is no longer contraindicated, with family planning being essential in this process. This review aims to provide a comprehensive overview of the family planning process for people with multiple sclerosis.
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Affiliation(s)
| | | | - Felipe Teijeiro Cabral
- Santa Casa de São Paulo, Faculdade de Ciências Médicas, Departamento de Neurologia, São Paulo SP, Brazil
| | | | - Maria Fernanda Mendes
- Santa Casa de São Paulo, Faculdade de Ciências Médicas, Departamento de Neurologia, São Paulo SP, Brazil
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Dalla Costa G, Leocani L, Pisa M, Croese T, Martinelli V, Moiola L, Sangalli F, Colombo B, Haghikia A, Gold R, Furlan R, Comi G. Neuroaxonal damage in natalizumab-treated MS patients: The role of JCV antibody titres. Mult Scler 2024; 30:1561-1565. [PMID: 38877721 DOI: 10.1177/13524585241260977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2024]
Abstract
BACKGROUND While John Cunningham virus (JCV) is known to cause neuronal damage in progressive multifocal leukoencephalopathy (PML) among natalizumab-treated MS patients, its association with axonal loss in non-PML conditions remains unclear. METHODS In a cohort of 128 natalizumab-treated MS patients, serum neurofilament (sNfL) levels and JCV antibody titres were measured. RESULTS Among 128 patients (mean age = 38.4 years, 71.9% female), 51 (40%) were JCV positive. NfL levels increased by 15.3% for JCV index <0.7 (95% confidence interval [CI] = 0.963-1.381), by 18.6% for index 0.7-1.5 (95% CI = 1.009-1.394) and by 21.1% for index >1.5 (95% CI = 1.040-1.409) compared to JCV negative patients. CONCLUSION These findings indicate a potential link between JCV burden and neuroaxonal degeneration in natalizumab-treated MS patients.
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Affiliation(s)
| | | | - Marco Pisa
- Vita-Salute San Raffaele University, Milan, Italy
| | - Tommaso Croese
- Neuroimmunology Research Unit, San Raffaele Hospital, Milan, Italy
| | | | - Lucia Moiola
- Department of Neurology, San Raffaele Hospital, Milan, Italy
| | | | - Bruno Colombo
- Department of Neurology, San Raffaele Hospital, Milan, Italy
| | - Aiden Haghikia
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Ralf Gold
- Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Roberto Furlan
- Neuroimmunology Research Unit, San Raffaele Hospital, Milan, Italy
| | - Giancarlo Comi
- Vita-Salute San Raffaele University, Milan, Italy/Multiple Sclerosis Center, Casa di Cura Igea, Milan, Italy
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Salter A, Lancia S, Kowalec K, Fitzgerald KC, Marrie RA. Comorbidity and Disease Activity in Multiple Sclerosis. JAMA Neurol 2024:2823966. [PMID: 39291661 PMCID: PMC11411448 DOI: 10.1001/jamaneurol.2024.2920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2024]
Abstract
Importance Multiple studies suggest that comorbidity worsens clinically relevant outcomes in multiple sclerosis (MS), including the severity of disability at diagnosis and rate of disability worsening after diagnosis. However, less is known regarding the association of comorbidity with measures of disease activity, such as relapse rate and magnetic resonance imaging lesion accrual, which are relevant to clinicians and clinical trialists. Objective To evaluate the association of comorbidities with disease activity in clinical trials of disease-modifying therapies (DMTs) in populations with MS. Design, Setting, and Participants A 2-stage meta-analytic approach was used in this cohort study of individual participant data from phase 3 clinical trials of MS DMTs that had 2 years of follow-up and were conducted from November 2001 to March 2018. Data were analyzed from February 2023 to June 2024. Exposure Comorbidity burden and individual comorbidities present at trial enrollment, including hypertension; hyperlipidemia; functional cardiovascular disease, ischemic heart, cerebrovascular, and peripheral vascular disease; diabetes; autoimmune thyroid and miscellaneous autoimmune conditions; migraine; lung and skin conditions; depression; anxiety; and other psychiatric disorders. Main Outcomes and Measures The main outcome was evidence of disease activity (EDA) over 2 years of follow-up, defined as confirmed relapse activity, disability worsening, or any new lesions on magnetic resonance imaging. Results A total of 16 794 participants with MS were included from 17 clinical trials (67.2% female). Over the 2-year follow-up, 61.0% (95% CI, 56.2%-66.3%; I2 = 97.9%) of the pooled trials had EDA. After adjusting for multiple factors, the presence of 3 or more comorbidities was associated with an increased hazard of EDA (adjusted hazard ratio [AHR], 1.14; 95% CI, 1.02-1.28) compared with no comorbidity. Presence of 2 or more cardiometabolic conditions was also associated with an increased hazard of EDA (AHR, 1.21; 95% CI, 1.08-1.37) compared with no cardiometabolic comorbidity. Presence of 1 psychiatric disorder was associated with an increased hazard of EDA (AHR, 1.07; 95% CI, 1.02-1.14). Conclusions and Relevance In this study, a higher burden of comorbidity was associated with worse clinical outcomes in people with MS, although comorbidity could potentially be a partial mediator of other negative prognostic factors. Our findings suggest a substantial adverse association of the comorbidities investigated with MS disease activity and that prevention and management of comorbidities should be a pressing concern in clinical practice.
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Affiliation(s)
- Amber Salter
- Department of Neurology, Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, Texas
- Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas
| | - Samantha Lancia
- Department of Neurology, Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, Texas
| | - Kaarina Kowalec
- College of Pharmacy, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Solna, Sweden
| | | | - Ruth Ann Marrie
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
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Tortosa-Carreres J, Cubas-Núñez L, Piqueras M, Castillo-Villalba J, Quintanilla-Bordàs C, Quiroga-Varela A, Villarrubia N, Monreal E, Álvarez G, Gasque-Rubio R, Forés-Toribio L, Carratalà-Boscà S, Lucas C, Sanz MT, Ramió-Torrentà L, Villar LM, Casanova B, Laiz B, Pérez-Miralles FC. Evaluating the complement C1q levels in serum and cerebrospinal fluid in multiple sclerosis patients: Could it serve as a valuable marker in clinical practice? J Neuroimmunol 2024; 394:578428. [PMID: 39121816 DOI: 10.1016/j.jneuroim.2024.578428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 07/16/2024] [Accepted: 08/01/2024] [Indexed: 08/12/2024]
Abstract
Immunohistochemical studies have identified complement component C1q in MS lesions. We aimed to compare serum (sC1q) and CSF (csfC1q) levels in a large cohort of MS patients (pwMS) (n = 222) with those of healthy controls (HC, n = 52), individuals with other immune (IND, n = 14), and non-immune neurological disorders (nIND, n = 15), and to analyze their correlation with other biomarkers. pwMS were divided into three series based on their origin. CSF samples were unavailable for HC. All three pwMS cohorts had lower sC1q levels compared to HC and IND. csfC1q was higher in one pwMS cohort, with a trend in another, and correlated with IgG, Free Kappa Light Chains, GFAP, and Chitinase-3 Like Protein-1 in CSF. Our findings suggest a significant role for C1q in MS pathophysiology, potentially serving as a biomarker for disease identification.
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Affiliation(s)
- Jordi Tortosa-Carreres
- Laboratory Department, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain; Neuroimmunology Unit, Health Research Institute La Fe, 46026, Valencia. Spain.
| | - Laura Cubas-Núñez
- Neuroimmunology Unit, Health Research Institute La Fe, 46026, Valencia. Spain.
| | - Mónica Piqueras
- Laboratory Department, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain
| | | | - Carlos Quintanilla-Bordàs
- Neuroimmunology Unit, Health Research Institute La Fe, 46026, Valencia. Spain; Neurology Department, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain
| | - Ana Quiroga-Varela
- Girona Neuroimmunology and Multiple Sclerosis Unit, Neurology Department, Dr. Josep Trueta University Hospital and Santa Caterina Hospital, Girona, Spain; Neurodegeneration and Neuroinflammation Research Group, Girona Biomedical Research Institute (IDIBGI), Salt, Spain.
| | - Noelia Villarrubia
- Departments of Immunology and Neurology, Ramon y Cajal University Hospital, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Madrid, Spain.
| | - Enric Monreal
- Departments of Immunology and Neurology, Ramon y Cajal University Hospital, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), ISCIII, Madrid, Spain.
| | - Gary Álvarez
- Girona Neuroimmunology and Multiple Sclerosis Unit, Neurology Department, Dr. Josep Trueta University Hospital and Santa Caterina Hospital, Girona, Spain; Neurodegeneration and Neuroinflammation Research Group, Girona Biomedical Research Institute (IDIBGI), Salt, Spain.
| | - Raquel Gasque-Rubio
- Neuroimmunology Unit, Health Research Institute La Fe, 46026, Valencia. Spain
| | | | | | - Celia Lucas
- Computer Systems, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain..
| | - María T Sanz
- Department of Didactic of Mathematics. University of Valencia, Spain.
| | - Lluís Ramió-Torrentà
- Girona Neuroimmunology and Multiple Sclerosis Unit, Neurology Department, Dr. Josep Trueta University Hospital and Santa Caterina Hospital, Girona, Spain.
| | - Luisa María Villar
- Multiple Sclerosis Unit, Ramon y Cajal University Hospital, Madrid, Spain.
| | - Bonaventura Casanova
- Neuroimmunology Unit, Health Research Institute La Fe, 46026, Valencia. Spain; Neurology Department, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain
| | - Begoña Laiz
- Laboratory Department, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain.
| | - Francisco Carlos Pérez-Miralles
- Neuroimmunology Unit, Health Research Institute La Fe, 46026, Valencia. Spain; Neurology Department, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain
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Ridley B, Minozzi S, Gonzalez-Lorenzo M, Del Giovane C, Piggott T, Filippini G, Peryer G, Foschi M, Tramacere I, Baldin E, Nonino F. Immunomodulators and immunosuppressants for progressive multiple sclerosis: a network meta-analysis. Cochrane Database Syst Rev 2024; 9:CD015443. [PMID: 39254048 PMCID: PMC11384553 DOI: 10.1002/14651858.cd015443.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
BACKGROUND In recent years a broader range of immunomodulatory and immunosuppressive treatment options have emerged for people with progressive forms of multiple sclerosis (PMS). While consensus supports these options as reducing relapses, their relative benefit and safety profiles remain unclear due to a lack of direct comparison trials. OBJECTIVES To compare through network meta-analysis the efficacy and safety of alemtuzumab, azathioprine, cladribine, cyclophosphamide, daclizumab, dimethylfumarate, diroximel fumarate, fingolimod, fludarabine, glatiramer acetate, immunoglobulins, interferon beta 1-a and beta 1-b, interferon beta-1b (Betaferon), interferon beta-1a (Avonex, Rebif), laquinimod, leflunomide, methotrexate, minocycline, mitoxantrone, mycophenolate mofetil, natalizumab, ocrelizumab, ofatumumab, ozanimod, pegylated interferon beta-1a, ponesimod, rituximab, siponimod, corticosteroids, and teriflunomide for PMS. SEARCH METHODS We searched CENTRAL, MEDLINE, and Embase up to August 2022, as well as ClinicalTrials.gov and the WHO ICTRP. SELECTION CRITERIA Randomised controlled trials (RCTs) that studied one or more treatments as monotherapy, compared to placebo or to another active agent, for use in adults with PMS. DATA COLLECTION AND ANALYSIS Two review authors independently selected studies and extracted data. We performed data synthesis by pair-wise and network meta-analysis. We assessed the certainty of the body of evidence according to GRADE. MAIN RESULTS We included 23 studies involving a total of 10,167 participants. The most frequent (39% of studies) reason for a rating of high risk of bias was sponsor role in study authorship and data management and analysis. Other concerns were performance, attrition, and selective reporting bias, with 8.7% of studies at high risk of bias for all three of these domains. The common comparator for network analysis was placebo. Relapses over 12 months: assessed in one study (318 participants). None of the treatments assessed showed moderate or high certainty evidence compared to placebo. Relapses over 24 months: assessed in six studies (1622 participants). The number of people with clinical relapses is probably trivially reduced with rituximab (risk ratio (RR) 0.60, 95% confidence interval (CI) 0.19 to 1.95; moderate certainty evidence). None of the remaining treatments assessed showed moderate or high certainty evidence compared to placebo. Relapses over 36 months: assessed in four studies (2095 participants). The number of people with clinical relapses is probably trivially reduced with interferon beta-1b (RR 0.82, 95% CI 0.73 to 0.93; moderate certainty evidence). None of the remaining treatments assessed showed moderate or high certainty evidence compared to placebo. Disability worsening over 24 months: assessed in 11 studies (5284 participants). None of the treatments assessed showed moderate or high certainty evidence compared to placebo. Disability worsening over 36 months: assessed in five studies (2827 participants). None of the treatments assessed showed moderate or high certainty evidence compared to placebo. Serious adverse events: assessed in 15 studies (8019 participants). None of the treatments assessed showed moderate or high certainty evidence compared to placebo. Discontinuation due to adverse events: assessed in 21 studies (9981 participants). The number of people who discontinued treatment due to adverse events is trivially increased with interferon beta-1a (odds ratio (OR) 2.93, 95% CI 1.64 to 5.26; high certainty evidence). The number of people who discontinued treatment due to adverse events is probably trivially increased with rituximab (OR 4.00, 95% CI 0.84 to 19.12; moderate certainty evidence); interferon beta-1b (OR 2.98, 95% CI 1.92 to 4.61; moderate certainty evidence); immunoglobulins (OR 1.95, 95% CI 0.99 to 3.84; moderate certainty evidence); glatiramer acetate (OR 3.98, 95% CI 1.48 to 10.72; moderate certainty evidence); natalizumab (OR 1.02, 95% CI 0.55 to 1.90; moderate certainty evidence); siponimod (OR 1.53, 95% CI 0.98 to 2.38; moderate certainty evidence); fingolimod (OR 2.29, 95% CI 1.46 to 3.60; moderate certainty evidence), and ocrelizumab (OR 1.24, 95% CI 0.54 to 2.86; moderate certainty evidence). None of the remaining treatments assessed showed moderate or high certainty evidence compared to placebo. AUTHORS' CONCLUSIONS The number of people with PMS with relapses is probably slightly reduced with rituximab at two years, and interferon beta-1b at three years, compared to placebo. Both drugs are also probably associated with a slightly higher proportion of withdrawals due to adverse events, as are immunoglobulins, glatiramer acetate, natalizumab, fingolimod, siponimod, and ocrelizumab; we have high confidence that this is the case with interferon beta-1a. We found only low or very low certainty evidence relating to disability progression for the included disease-modifying treatments compared to placebo, largely due to imprecision. We are also uncertain about the effect of interventions on serious adverse events, also because of imprecision. These findings are due in part to the short follow-up of the included RCTs, which lacked detection of less common severe adverse events. Moreover, the funding source of many included studies may have introduced bias into the results. Future research on PMS should include head-to-head rather than placebo-controlled trials, with a longer follow-up of at least three years. Given the relative rarity of PMS, controlled, non-randomised studies on large samples may usefully integrate data from pivotal RCTs. Outcomes valuable and meaningful to people with PMS should be consistently adopted and measured to permit the evaluation of relative effectiveness among treatments.
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Affiliation(s)
- Ben Ridley
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Silvia Minozzi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Marien Gonzalez-Lorenzo
- Laboratorio di Metodologia delle revisioni sistematiche e produzione di Linee Guida, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Cinzia Del Giovane
- Institute of Primary Health Care (BIHAM), Bern, Switzerland
- Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Thomas Piggott
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Family Medicine, Queens University, Kingston, Ontario, Canada
| | - Graziella Filippini
- Scientific Director's Office, Fondazione IRCCS, Istituto Neurologico Carlo Besta, Milan, Italy
| | - Guy Peryer
- School of Health Sciences, University of East Anglia, Norwich, UK
| | - Matteo Foschi
- Department of Neuroscience, Multiple Sclerosis Center - Neurology Unit, S.Maria delle Croci Hospital, AUSL Romagna, Ravenna, Italy
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Irene Tramacere
- Department of Research and Clinical Development, Scientific Directorate, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Elisa Baldin
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Francesco Nonino
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
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Ciubotaru A, Grosu C, Alexa D, Covali R, Maștaleru A, Leon MM, Schreiner TG, Ghiciuc CM, Roman EM, Azoicăi D, Ignat EB. The Faces of "Too Late"-A Surprisingly Progressive Cohort of "Stable" Relapsing Remitting Multiple Sclerosis Patients. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1401. [PMID: 39336442 PMCID: PMC11434352 DOI: 10.3390/medicina60091401] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2024] [Revised: 08/16/2024] [Accepted: 08/25/2024] [Indexed: 09/30/2024]
Abstract
Background and Objectives: Although available therapies have changed the natural evolution of multiple sclerosis (MS), in time some patients assume a progressive course and no longer respond to treatment. There is no definitive clinical or laboratory parameter to certify MS progression from relapsing remitting MS (RRMS) to secondary progressive MS (SPMS) in early phases of transition. Our study aims to evaluate the value of clinical parameters and serum neurofilament light chain levels (sNfLs) as early warning signs of conversion to SPMS. Materials and Methods: The Expanded Disability Status Scale (EDSS), Nine-Hole Peg Test (9HPT), 25-foot walk test (25FWT) and Symbol Digit Modalities Test (SDMT) were evaluated at 12 months apart in a cohort of 83 RRMS treated patients. sNfLs were evaluated at the second time point. Results: sNfLs correlate with EDSS and SDMT, with EDSS change and disease duration. Clinical parameters correlate among themselves and perform well in supporting the diagnosis of SPMS in logistic regression and ROC curves analysis. Eighty percent of the RRMS patients in our study (of which 65% are treated with high-efficacy disease-modifying drugs) showed some type of progression independent of relapses (PIRA) after 12 months, with one in five patients experiencing isolated cognitive worsening and almost two-thirds some type of motor worsening. We found no differences in terms of progression between patients treated with platform drugs versus high-efficacy drugs. Conclusions: An elevated level of progression independent of relapses (PIRA) was found in our cohort, with high-efficacy drugs providing no supplementary protection. As sNfL levels were correlated with the progression of EDSS (the main clinical progression marker), they may be considered potential prognostic markers, but further studies are necessary to precisely define their role in this direction. The lack of early sensitive markers for risk of progression may contribute to therapeutic delay and failure.
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Affiliation(s)
- Alin Ciubotaru
- Department of Neurology, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (A.C.); (D.A.)
- Department of Neurology, Clinical Rehabilitation Hospital, 700661 Iași, Romania
| | - Cristina Grosu
- Department of Neurology, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (A.C.); (D.A.)
- Department of Neurology, Clinical Rehabilitation Hospital, 700661 Iași, Romania
| | - Daniel Alexa
- Department of Neurology, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (A.C.); (D.A.)
- Department of Neurology, Clinical Rehabilitation Hospital, 700661 Iași, Romania
| | - Roxana Covali
- Department of Radiology, Biomedical Engineering Faculty, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania;
| | - Alexandra Maștaleru
- Department of Medical Specialties I, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (A.M.); (M.M.L.)
| | - Maria Magdalena Leon
- Department of Medical Specialties I, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (A.M.); (M.M.L.)
| | - Thomas Gabriel Schreiner
- Department of Neurology, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (A.C.); (D.A.)
| | - Cristina Mihaela Ghiciuc
- Department of Morpho-Functional Sciences II—Pharmacology and Clinical Pharmacology, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania;
| | | | - Doina Azoicăi
- Department of Preventive Medicine and Interdisciplinarity, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania;
| | - Emilian Bogdan Ignat
- Department of Neurology, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iași, Romania; (A.C.); (D.A.)
- Department of Neurology, Clinical Rehabilitation Hospital, 700661 Iași, Romania
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Giovenzana A, Codazzi V, Pandolfo M, Petrelli A. T cell trafficking in human chronic inflammatory diseases. iScience 2024; 27:110528. [PMID: 39171290 PMCID: PMC11338127 DOI: 10.1016/j.isci.2024.110528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2024] Open
Abstract
Circulating T cells, which migrate from the periphery to sites of tissue inflammation, play a crucial role in the development of various chronic inflammatory conditions. Recent research has highlighted subsets of tissue-resident T cells that acquire migratory capabilities and re-enter circulation, referred to here as "recirculating T cells." In this review, we examine recent advancements in understanding the biology of T cell trafficking in diseases where T cell infiltration is pivotal, such as multiple sclerosis and inflammatory bowel diseases, as well as in metabolic disorders where the role of T cell migration is less understood. Additionally, we discuss current insights into therapeutic strategies aimed at modulating T cell circulation across tissues and the application of state-of-the-art technologies for studying recirculation in humans. This review underscores the significance of investigating T trafficking as a novel potential target for therapeutic interventions across a spectrum of human chronic inflammatory diseases.
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Affiliation(s)
- Anna Giovenzana
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Valentina Codazzi
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Michele Pandolfo
- Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy
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Højsgaard Chow H, Petersen ER, Olsson A, Hejgaard Laursen J, Bredahl Hansen M, Oturai AB, Soelberg Sørensen P, Bach Søndergaard H, Sellebjerg F. Age-corrected neurofilament light chain ratio decreases but does not predict relapse in highly active multiple sclerosis patients initiating natalizumab treatment. Mult Scler Relat Disord 2024; 88:105701. [PMID: 38889559 DOI: 10.1016/j.msard.2024.105701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/23/2024] [Accepted: 06/02/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Neurofilament light chain (NFL) is a biomarker for monitoring disease activity and treatment response in multiple sclerosis (MS). However, while most agree that NFL levels predict disease activity and worsening, the predictive value of NFL on future relapse risk remains uncertain. OBJECTIVE The primary aim was to evaluate the predictive value of age-corrected serum NFL (sNFL) ratio on relapse risk in highly active relapsing-remitting MS patients (RRMS) treated with natalizumab. A secondary aim was to investigate the predictive value of sNFL ratios for MRI activity. METHODS From January 1, 2006, to December 31, 2010, 355 patients initiated natalizumab treatment at the Danish Multiple Sclerosis Center. 305 patients were anti-natalizumab antibodies negative and had at least one blood sample available for sNFL analysis using single molecule array analysis at baseline, three, six, or 12 months. The patients were either treatment-naïve (n = 8), switching from interferon-β or glatiramer acetate (n = 253), or switching from mitoxantrone (n = 44). An age-corrected ratio was calculated for sNFL. Time to first relapse was calculated from baseline and after re-baseline at 90 days. Data were collected from baseline until the two-year follow-up or end of treatment and included disease duration, expanded disability status scale, previous treatments, relapses 12 months prior to natalizumab initiation, smoking intensity, body mass index, and body weight. In addition, the patients underwent annual MRI of the brain. RESULTS The sNFL ratio was increased in 173 of 287 samples (60.3 %) at baseline, in 119 of 246 samples (48.8 %) at month three, in 109 of 287 samples (38.0 %) at month six, and in 82 of 270 samples (30.4 %) at month 12. The sNFL ratio continuously declined over 12 months with significant decreases for every measuring timepoint: baseline vs. three months p = 3.0 × 10-6; three months vs. six months p = 3.2 × 10-5; six months vs. 12 months p = 0.002. Univariate Cox regression analysis showed that time to first relapse from 1) natalizumab initiation and from 2) re-baseline was associated with the number of relapses in the previous 12 months (hazard ratio 1.31 per relapse, 95 % CI = 1.2-1.5, p = 2.0 × 10-6; and 1.21 per relapse, 95 % CI = 1.1-1.4, p = 0.002, respectively). sNFL ratio at re-baseline was negatively associated with relapse risk (hazard ratio 0.82 per unit; 95 % CI = 0.7-1.0; p = 0.049). A multivariable Cox regression analysis of relapse risk from re-baseline showed that the number of relapses in the 12 months prior to natalizumab treatment (hazard ratio 1.29; 95 % CI = 1.1-1.5; p = 6.0 × 10-4) and smoking (hazard ratio 1.51 per 20 cigarettes per day; 95 % CI = 1.0-2.2; p = 0.030) were associated with increased risk of relapse; sNFL ratio was associated with a lower risk of relapse (hazard ratio = 0.736 per unit; 95 % CI = 0.6-0.9 p = 0.007). In univariate logistic regression analyses, the sNFL ratio at 12 months and values above the 75th and the 90th percentile predicted MRI activity in the following year (odds ratio [OR] = 2.0, 95 % CI = 1.2-3.6, p = 0.012; OR = 2.2, 95 % CI = 1.2-4.1, p = 0.014; and OR = 2.8, 95 % CI = 1.1-6.7, p = 0.026). CONCLUSION In this highly active RRMS cohort, high sNFL ratios reflected previous relapse activity and decreased after initiation of treatment but were not associated with increased relapse risk in the following two years. Pre-treatment relapses and smoking on treatment were predictors of relapse risk after re-baselining at 90 days. MRI activity in year two was predicted by sNFL ratios at month 12.
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Affiliation(s)
- Helene Højsgaard Chow
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark.
| | - Eva Rosa Petersen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Anna Olsson
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Julie Hejgaard Laursen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Malene Bredahl Hansen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Annette Bang Oturai
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Per Soelberg Sørensen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Helle Bach Søndergaard
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Finn Sellebjerg
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
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29
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Probst Y, Kinnane E. Quality of reporting health behaviors for multiple sclerosis (QuoRH-MS): A scoping review to inform intervention planning and improve consistency of reporting. Brain Behav 2024; 14:e3635. [PMID: 39148370 PMCID: PMC11327400 DOI: 10.1002/brb3.3635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 05/26/2024] [Accepted: 07/03/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Multiple sclerosis (MS) is a neurological condition that necessitates a multidisciplinary approach to aid those living with MS in managing their disease. Health behavior, or lifestyle modification, is an emerging approach to MS self-management. MS researchers utilize measurement tools to ensure that interventions are best suited to the outcomes, thereby potentially influencing practice. The aim of this study was to investigate which tools are being used for health behavior management studies in people living with MS and develop an aid for tool selection. METHODS A scoping review guided by the PRISMA-Sc checklist and the JBI manual for evidence synthesis was employed with a systematic search strategy executed across four scientific databases: Medline, PubMed, CINAHL, and Cochrane Libraries. The types of assessment tools used were extracted from the included studies. Each tool was categorized into the health behavior intervention discipline (nutrition, exercise, and psychology) and then subcategorized by the tool's purpose. The frequency of use was determined for each tool. Reporting of validation of the assessment tools were collated to inform a tool selection checklist. RESULTS The review identified a total of 248 tools (12 nutrition, 55 exercise, and 119 psychology unique reports) from 166 studies. Seventy-seven multidimensional tools were identified including measures of quality of life, fatigue, and functional scales. Only 88 studies (53%) referred to the validity of the tools. The most commonly reported tools were the dietary habits questionnaire (n = 4, nutrition), 6-minute walk test (n = 17, exercise), Symbol Digits and Modalities Test, and Hospital Anxiety and Depression Scale (n = 15 each, psychology) with the Expanded Disability Status Scale reported 43 times. CONCLUSION Evidence from interventions may inform practice for health professionals. This review provides insights into the range of tools reported across health behavior intervention studies for MS and offers a guide toward more consistent reporting of study methods.
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Affiliation(s)
- Yasmine Probst
- School of Medical, Indigenous and Health SciencesUniversity of WollongongWollongongNew South WalesAustralia
| | - Emily Kinnane
- School of Medical, Indigenous and Health SciencesUniversity of WollongongWollongongNew South WalesAustralia
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30
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Montobbio N, Carmisciano L, Signori A, Ponzano M, Schiavetti I, Bovis F, Sormani MP. Creating an automated tool for a consistent and repeatable evaluation of disability progression in clinical studies for multiple sclerosis. Mult Scler 2024; 30:1185-1192. [PMID: 39143826 DOI: 10.1177/13524585241243157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
BACKGROUND The lack of standardized disability progression evaluation in multiple sclerosis (MS) hinders reproducibility of clinical study results, due to heterogeneous and poorly reported criteria. OBJECTIVE To demonstrate the impact of using different parameters when evaluating MS progression, and to introduce an automated tool for reproducible outcome computation. METHODS Re-analyzing BRAVO clinical trial data (NCT00605215), we examined the fluctuations in computed treatment effect on confirmed disability progression (CDP) and progression independent of relapse activity (PIRA) when varying different parameters. These analyses were conducted using the msprog package for R, which we developed as a tool for CDP assessment from longitudinal data, given a set of criteria that can be specified by the user. RESULTS The BRAVO study reported a hazard ratio (HR) of 0.69 (95% confidence interval (CI): 0.46-1.02) for CDP. Using the different parameter configurations, the resulting treatment effect on CDP varied considerably, with HRs ranging from 0.59 (95% CI: 0.41-0.86) to 0.72 (95% CI: 0.48-1.07). The treatment effect on PIRA varied from an HR = 0.62 (95% CI: 0.41-0.93) to an HR = 0.65 (95% CI: 0.40-1.04). CONCLUSIONS The adoption of an open-access tool validated by the research community, with clear parameter specification and standardized output, could greatly reduce heterogeneity in CDP estimation and promote repeatability of study results.
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Affiliation(s)
- Noemi Montobbio
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Luca Carmisciano
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Alessio Signori
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Marta Ponzano
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Irene Schiavetti
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Francesca Bovis
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Maria Pia Sormani
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy / IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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Colato E, Stutters J, Narayanan S, Arnold DL, Chataway J, Gandini Wheeler-Kingshott CAM, Barkhof F, Ciccarelli O, Eshaghi A, Chard DT. Longitudinal network-based brain grey matter MRI measures are clinically relevant and sensitive to treatment effects in multiple sclerosis. Brain Commun 2024; 6:fcae234. [PMID: 39077376 PMCID: PMC11285187 DOI: 10.1093/braincomms/fcae234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 05/24/2024] [Accepted: 07/17/2024] [Indexed: 07/31/2024] Open
Abstract
In multiple sclerosis clinical trials, MRI outcome measures are typically extracted at a whole-brain level, but pathology is not homogeneous across the brain and so whole-brain measures may overlook regional treatment effects. Data-driven methods, such as independent component analysis, have shown promise in identifying regional disease effects but can only be computed at a group level and cannot be applied prospectively. The aim of this work was to develop a technique to extract longitudinal independent component analysis network-based measures of co-varying grey matter volumes, derived from T1-weighted volumetric MRI, in individual study participants, and assess their association with disability progression and treatment effects in clinical trials. We used longitudinal MRI and clinical data from 5089 participants (22 045 visits) with multiple sclerosis from eight clinical trials. We included people with relapsing-remitting, primary and secondary progressive multiple sclerosis. We used data from five negative clinical trials (2764 participants, 13 222 visits) to extract the independent component analysis-based measures. We then trained and cross-validated a least absolute shrinkage and selection operator regression model (which can be applied prospectively to previously unseen data) to predict the independent component analysis measures from the same regional MRI volume measures and applied it to data from three positive clinical trials (2325 participants, 8823 visits). We used nested mixed-effect models to determine how networks differ across multiple sclerosis phenotypes are associated with disability progression and to test sensitivity to treatment effects. We found 17 consistent patterns of co-varying regional volumes. In the training cohort, volume loss was faster in four networks in people with secondary progressive compared with relapsing-remitting multiple sclerosis and three networks with primary progressive multiple sclerosis. Volume changes were faster in secondary compared with primary progressive multiple sclerosis in four networks. In the combined positive trials cohort, eight independent component analysis networks and whole-brain grey matter volume measures showed treatment effects, and the magnitude of treatment-placebo differences in the network-based measures was consistently greater than with whole-brain grey matter volume measures. Longitudinal network-based analysis of grey matter volume changes is feasible using clinical trial data, showing differences cross-sectionally and longitudinally between multiple sclerosis phenotypes, associated with disability progression, and treatment effects. Future work is required to understand the pathological mechanisms underlying these regional changes.
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Affiliation(s)
- Elisa Colato
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1N 3BG, UK
| | - Jonathan Stutters
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1N 3BG, UK
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, H3A 2B4, Canada
| | - Douglas L Arnold
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, H3A 2B4, Canada
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1N 3BG, UK
- National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, W1T 7DN, UK
| | - Claudia A M Gandini Wheeler-Kingshott
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1N 3BG, UK
- Brain Connectivity Centre, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Mondino Foundation, Pavia, 27100, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, 27100, Italy
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1N 3BG, UK
- National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, W1T 7DN, UK
- Department of Radiology and Nuclear Medicine, Vrije Universiteit (VU) Medical Centre, Amsterdam, 1081 HZ, The Netherlands
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, WC1V 6LJ, UK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1N 3BG, UK
- National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, W1T 7DN, UK
| | - Arman Eshaghi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1N 3BG, UK
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, WC1V 6LJ, UK
| | - Declan T Chard
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London (UCL) Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, WC1N 3BG, UK
- National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, W1T 7DN, UK
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Kalincik T, Sharmin S, Roos I, Massey J, Sutton I, Withers B, Freedman MS, Atkins H, Krasulova E, Kubala Havrdova E, Trneny M, Kozak T, Burman J, Macdonell R, Torkildsen Ø, Bø L, Lehmann AK, Sharrack B, Snowden J. Effectiveness of autologous haematopoietic stem cell transplantation versus natalizumab in progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 2024; 95:775-783. [PMID: 38538060 DOI: 10.1136/jnnp-2023-332790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 02/12/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND Natalizumab was not shown to modify disability in progressive multiple sclerosis (MS). This matched observational study compared the effectiveness of autologous haematopoietic stem cell transplantation (AHSCT) with natalizumab in progressive MS. METHODS Patients with primary/secondary progressive MS from seven AHSCT MS centres and the MSBase registry, treated with AHSCT or natalizumab, were matched on a propensity score derived from sex, age, Expanded Disability Status Scale (EDSS), number of relapses 12/24 months before baseline, time from MS onset, the most effective prior therapy and country. The pairwise-censored groups were compared on hazards of 6-month confirmed EDSS worsening and improvement, relapses and annualised relapse rates (ARRs), using Andersen-Gill proportional hazards models and conditional negative binomial model. RESULTS 39 patients treated with AHSCT (37 with secondary progressive MS, mean age 37 years, EDSS 5.7, 28% with recent disability progression, ARR 0.54 during the preceding year) were matched with 65 patients treated with natalizumab. The study found no evidence for difference in hazards of confirmed EDSS worsening (HR 1.49, 95% CI 0.70 to 3.14) and improvement (HR 1.50, 95% CI 0.22 to 10.29) between AHSCT and natalizumab over up to 4 years. The relapse activity was also similar while treated with AHSCT and natalizumab (ARR: mean±SD 0.08±0.28 vs 0.08±0.25; HR 1.05, 95% CI 0.39 to 2.82). In the AHSCT group, 3 patients experienced febrile neutropenia during mobilisation, 9 patients experienced serum sickness, 6 patients required intensive care unit admission and 36 patients experienced complications after discharge. No treatment-related deaths were reported. CONCLUSION This study does not support the use of AHSCT to control disability in progressive MS with advanced disability and low relapse activity.
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Affiliation(s)
- Tomas Kalincik
- CORe, Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Sifat Sharmin
- CORe, Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Izanne Roos
- CORe, Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Jennifer Massey
- Department of Neurology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Ian Sutton
- Department of Neurology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
- University of New South Wales, Sydney, New South Wales, Australia
- University of Syndey, Sydney, New South Wales, Australia
| | - Barbara Withers
- St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
- Department of Haematology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
| | - Mark S Freedman
- Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Harold Atkins
- Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Eva Krasulova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic
- General University Hospital in Prague, Prague, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic
- General University Hospital in Prague, Prague, Czech Republic
| | - Marek Trneny
- General University Hospital in Prague, Prague, Czech Republic
- Department of Haematology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Tomas Kozak
- Department of Haematology, Third Faculty of Medicine, Charles University, Prague, Czech Republic
- University Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - Joachim Burman
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
| | - Richard Macdonell
- Department of Neurology, Austin Health, Melbourne, Victoria, Australia
- University of Melbourne, Melbourne, Victoria, Australia
| | - Øivind Torkildsen
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Lars Bø
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | | | - Basil Sharrack
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience Biomedical Research Centre, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - John Snowden
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
- Department of Oncology and Metabolism, Medical School, The University of Sheffield, Sheffield, UK
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Foong YC, Merlo D, Gresle M, Buzzard K, Zhong M, Yeh WZ, Jokubaitis V, Monif M, Skibina O, Ozakbas S, Patti F, Grammond P, Amato MP, Kalincik T, Horakova D, Kubala Havrdova E, Weinstock-Guttman B, Lechner Scott J, Boz C, Sa MJ, Butzkueven H, van der Walt A, Zhu C. Comparing ocrelizumab to interferon/glatiramer acetate in people with multiple sclerosis over age 60. J Neurol Neurosurg Psychiatry 2024; 95:767-774. [PMID: 38453478 DOI: 10.1136/jnnp-2023-332883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 02/11/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Ongoing controversy exists regarding optimal management of disease modifying therapy (DMT) in older people with multiple sclerosis (pwMS). There is concern that the lower relapse rate, combined with a higher risk of DMT-related infections and side effects, may alter the risk-benefit balance in older pwMS. Given the lack of pwMS above age 60 in randomised controlled trials, the comparative efficacy of high-efficacy DMTs such as ocrelizumab has not been shown in older pwMS. We aimed to evaluate the comparative effectiveness of ocrelizumab, a high-efficacy DMT, versus interferon/glatiramer acetate (IFN/GA) in pwMS over the age of 60. METHODS Using data from MSBase registry, this multicentre cohort study included pwMS above 60 who switched to or started on ocrelizumab or IFN/GA. We analysed relapse and disability outcomes after balancing covariates using an inverse probability treatment weighting (IPTW) method. Propensity scores were obtained based on age, country, disease duration, sex, baseline Expanded Disability Status Scale, prior relapses (all-time, 12 months and 24 months) and prior DMT exposure (overall number and high-efficacy DMTs). After weighting, all covariates were balanced. Primary outcomes were time to first relapse and annualised relapse rate (ARR). Secondary outcomes were 6-month confirmed disability progression (CDP) and confirmed disability improvement (CDI). RESULTS A total of 248 participants received ocrelizumab, while 427 received IFN/GA. The IPTW-weighted ARR for ocrelizumab was 0.01 and 0.08 for IFN/GA. The IPTW-weighted ARR ratio was 0.15 (95% CI 0.06 to 0.33, p<0.001) for ocrelizumab compared with IFN/GA. On IPTW-weighted Cox regression models, HR for time to first relapse was 0.13 (95% CI 0.05 to 0.26, p<0.001). The hazard of first relapse was significantly reduced in ocrelizumab users after 5 months compared with IFN/GA users. However, the two groups did not differ in CDP or CDI over 3.57 years. CONCLUSION In older pwMS, ocrelizumab effectively reduced relapses compared with IFN/GA. Overall relapse activity was low. This study adds valuable real-world data for informed DMT decision making with older pwMS. Our study also confirms that there is a treatment benefit in older people with MS, given the existence of a clear differential treatment effect between ocrelizumab and IFN/GA in the over 60 age group.
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Affiliation(s)
- Yi Chao Foong
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
- Department of Neurology, Tasmanian Health Service, Hobart, Tasmania, Australia
| | - Daniel Merlo
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Eastern Health, Box Hill, Victoria, Australia
| | - Melissa Gresle
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
- Melbourne Health, Melbourne, Victoria, Australia
| | - Katherine Buzzard
- Eastern Health, Box Hill, Victoria, Australia
- Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Michael Zhong
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Wei Zhen Yeh
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Vilija Jokubaitis
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Mastura Monif
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Olga Skibina
- Alfred Health, Melbourne, Victoria, Australia
- Eastern Health, Box Hill, Victoria, Australia
| | | | - Francesco Patti
- Neuroscience, University of Catania Department of Surgical and Medical Sciences and Advanced Technologies 'G.F. Ingrassia', Catania, Italy
- University of Catania, Catania, Italy
| | | | - Maria Pia Amato
- Department of Neurological Siences, University of Florence, Florence, Italy
| | - Tomas Kalincik
- Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
- CORe, Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, Charles University in Prague, 1st Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic
| | | | - Jeanette Lechner Scott
- Hunter New England Health, New Lambton, New South Wales, Australia
- The University of Newcastle, Newcastle, New South Wales, Australia
| | - Cavit Boz
- Karadeniz Technical University, Trabzon, Turkey
| | - Maria Jose Sa
- Neurology, Centro Hospitalar de São João, Porto, Portugal
- Faculty of Health Sciences University Fernando Pessoa, Porto, Portugal
| | - Helmut Butzkueven
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Anneke van der Walt
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | - Chao Zhu
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia
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Chisari CG, Aguglia U, Amato MP, Bergamaschi R, Bertolotto A, Bonavita S, Morra VB, Cavalla P, Cocco E, Conte A, Cottone S, De Luca G, Di Sapio A, Filippi M, Gallo A, Gasperini C, Granella F, Lus G, Maimone D, Maniscalco GT, Marfia G, Moiola L, Paolicelli D, Pesci I, Ragonese P, Rovaris M, Salemi G, Solaro C, Totaro R, Trojano M, Vianello M, Zaffaroni M, Lepore V, Patti F. Long-term effectiveness of natalizumab in secondary progressive multiple sclerosis: A propensity-matched study. Neurotherapeutics 2024; 21:e00363. [PMID: 38714462 PMCID: PMC11284548 DOI: 10.1016/j.neurot.2024.e00363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 04/12/2024] [Indexed: 05/09/2024] Open
Abstract
Treatment options for secondary progressive MS (SPMS) are limited, especially considering that the new drugs recently approved are licensed for actively relapsing patients. We aimed to compare the disability progression in a real-world cohort of SPMS patients treated with natalizumab (NTZ) or interferon beta-1b (IFNb-1b). This multicenter retrospective enrolled patients with a diagnosis of SPMS according to 2014 Lublin criteria, who received NTZ or IFNb-1b for at least 48 months between the 1st June 2012 and the 15th May 2018 at 33 Italian MS centers contributing to the Italian MS Registry NTZ or IFNb-1b. Confirmed Expanded Disability Status Scale worsening (CEW) and progression independent of relapse (PIRA) were evaluated. In order to correct for non-randomization, a propensity score matching of the groups was performed. Out of 5206 MS patients identified at the time of data extraction, 421 SPMS patients treated with NTZ (224 [53.2%] females, mean age 45.3 ± 25.4 years) and 353 with IFNb-1b (133 [37.8%] females, mean age 48.5 ± 19.8 years) were enrolled. After applying the matching procedure, 102 patients were retained in the NTZ group and 98 in the IFNb-2b group. The proportion of patients who reached the 48-month 1-point CEW was significantly higher in IFNb-1b compared to NTZ group (58.2% versus 30.4%, p = 0.01). The proportion of patients who developed PIRA at 48 months were significantly higher in IFNb-1b compared to NTZ (72.4% versus 40.2%, p = 0.01). EDSS before treatment initiation and SPMS duration were risk factors for disability progression in terms of PIRA (HR 2.54, 25%CI 1.67-5.7; p = 0.006 and HR 2.04, 25%CI 1.22-3.35; p = 0.01, respectively). Patients treated with IFNb-1b were 1.64 times more to likely to develop PIRA (HR 1.64, 25%CI 1.04-4.87; p = 0.001). Treatment with NTZ in SPMS patients showed more favorable disability outcomes compared to IFNb-1b with beneficial effects over 48 months.
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Affiliation(s)
- Clara G Chisari
- Department "GF. Ingrassia"; Section of Neurosciences, University of Catania, Italy; UOS Sclerosi Multipla, AOU Policlinico "G. Rodolico-San Marco", University of Catania, Catania, Italy
| | - Umberto Aguglia
- Regional Epilepsy Centre, Great Metropolitan "Bianchi-Melacrino-Morelli" Hospital, Reggio Calabria, Italy
| | - Maria Pia Amato
- Department NEUROFARBA, Section Neurosciences, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | | | - Antonio Bertolotto
- Department of Neurology and Multiple Sclerosis Regional Referral Centre, AOU San Luigi Gonzaga, Orbassano, Turin, Italy
| | - Simona Bonavita
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli" Naples, Italy
| | | | - Paola Cavalla
- Multiple Sclerosis Center, Department of Neuroscience and Mental Health, City of Health and Science University Hospital of Torino, Torino, Italy
| | - Eleonora Cocco
- Multiple Sclerosis Centre Binaghi Hospital, ATS Sardegna-University of Cagliari, Italy
| | - Antonella Conte
- Department of Human Neurosciences, Sapienza University of Rome, Italy; IRCCS Neuromed Pozzili, Italy
| | | | - Giovanna De Luca
- Multiple Sclerosis Center, Neurology Clinic, Policlinico SS Annunziata, University of Chieti-Pescara, Chieti, Italy
| | - Alessia Di Sapio
- Department of Neurology and Multiple Sclerosis Regional Referral Centre, AOU San Luigi Gonzaga, Orbassano, Turin, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli" Naples, Italy
| | - Claudio Gasperini
- Department of Neuroscience, UOC Neurology, San Camillo-Forlanini Hospital, Rome, Italy
| | - Franco Granella
- Neurosciences Unit, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Giacomo Lus
- Department of Advanced Medical and Surgical Sciences, II Division of Neurology, Multiple Sclerosis Center, University of Campania 'L. Vanvitelli', Naples, Italy
| | - Davide Maimone
- Centro Sclerosi Multipla, UOC Neurologia, Azienda Ospedaliera Cannizzaro, Catania, Italy
| | | | - Girolama Marfia
- Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Lucia Moiola
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Damiano Paolicelli
- Department of Translational Biomedicines and Neurosciences University of Bari, A. Moro, Bari, Italy
| | - Ilaria Pesci
- Centro Sclerosi Multipla Unità Operativa Neurologia, Azienda Unità Sanitaria Locale, Ospedale Di Vaio, Fidenza, Parma, Italy
| | - Paolo Ragonese
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, Palermo University, Palermo, Italy
| | | | - Giuseppe Salemi
- Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, Palermo University, Palermo, Italy
| | - Claudio Solaro
- Department of Rehabilitation, C.R.R.F. "Mons. L. Novarese", Loc. Trompone, Moncrivello, (VC), Italy
| | - Rocco Totaro
- Demyelinating Disease Center, Neurology Unit, University of L'Aquila, L'Aquila, Italy
| | - Maria Trojano
- School of Medicine, University "Aldo Moro", Bari, Italy
| | | | - Mauro Zaffaroni
- Multiple Sclerosis Center, ASST della Valle Olona, Ospedale di Gallarate, (VA), Italy
| | - Vito Lepore
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Francesco Patti
- Department "GF. Ingrassia"; Section of Neurosciences, University of Catania, Italy; UOS Sclerosi Multipla, AOU Policlinico "G. Rodolico-San Marco", University of Catania, Catania, Italy.
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35
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Piedrabuena MA, Correale J, Fiol M, Marrodan M, Rojas JI, Alonso M, Pappolla A, Miguez J, Patrucco L, Cristiano E, Vrech C, Cohen L, Alonso R, Silva B, Luetic G, Deri N, Burgos M, Liwacki S, Piedrabuena R, Tkachuk V, Barboza A, Martinez A, Balbuena ME, Pinheiro AA, Nofal P, Lopez PA, Tavolini D, Leguizamon F, Hryb JP, Tizio S, Recchia L, Reich E, Contentti EC, Marcilla MP, Pagani F, Cabrera LM, Curbelo MC, Mainella C, Liguori NF, Coppola M, Pettinicchi JP, Carra A, Jose G, Nadur D, Bestoso S, Pestchanker C, Vazquez GD, Martinez CM, Ysrraelit MC. Selection of disease modifying therapies in multiple sclerosis based on patient's age and disease activity: Data from a nationwide registry. J Neurol Sci 2024; 461:123052. [PMID: 38797140 DOI: 10.1016/j.jns.2024.123052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 05/09/2024] [Accepted: 05/13/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Knowledge of the safety and efficacy of disease-modifying therapies (DMTs) in older patients with Multiple Sclerosis (pwMS) is limited due to their exclusion from clinical trials. Our purpose is to evaluate the choice of DMTs in pwMS older than 50 years old in a real-world setting. METHODS Cross-sectional study of pwMS from the Argentine MS and NMOSD Registry. We included patients under 35 and above 50 years old prescribed DMTs. Disease activity was categorized as highly active (HA) or not highly active (NHA), and DMTs were classified as low efficacy therapies (LET) or high efficacy therapies (HET). RESULTS 1460 patients (65% females) were enrolled. The HA group comprised 241 patients, 198 young (82.2%) and 43 older (17.8%). The NHA group included 1219 patients, 893 young (73%) and 326 older (27%). In the NHA group, older patients received LET more frequently than younger patients (66% versus 44%; p < 0.01). In the HA group, older patients received LET in 61% of cases, whereas younger patients received HET in 71% (p = 0.01). CONCLUSION The study shows the preference of LET in older patients regardless of disease activity. However it does not demonstrate a difference in disability in older patients based on low vs high efficacy DMTs used, probably due to the design of the study. Further longitudinal studies are warranted to address this issue.
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Affiliation(s)
| | - Jorge Correale
- Departamento de Neuroinmunología - FLENI, CABA, Argentina; Profesor honorario de la facultad de farmacia y bioquimica, Universidad de Buenos Aires, Argentina
| | - Marcela Fiol
- Departamento de Neuroinmunología - FLENI, CABA, Argentina
| | | | - Juan I Rojas
- Hospital Universitario de CEMIC, CABA, Argentina
| | - Marina Alonso
- Servicio de clínica médica, Hospital Italiano de Buenos Aires, CABA, Argentina
| | - Agustín Pappolla
- Servicio de Neurología, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Jimena Miguez
- Servicio de Neurología, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Liliana Patrucco
- Servicio de Neurología, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | | | | | - Leila Cohen
- Centro universitario de esclerosis múltiple (CUEM), Hospital Ramos Mejía, CABA, Argentina
| | - Ricardo Alonso
- Centro Universitario de Esclerosis Múltiple, Hospital Ramos Mejía. / Servicio de neurología, Sanatorio Güemes, Argentina
| | - Berenice Silva
- Servicio de Neurología, Hospital Italiano de Buenos Aires, Buenos Aires / Centro universitario de esclerosis múltiple (CUEM), Hospital Ramos Mejía, CABA, Argentina
| | | | - Norma Deri
- Centro de Especialidades Neurológicas y Rehabilitación (CENyR), Argentina
| | - Marcos Burgos
- Servicio de Neurología, Hospital San Bernardo, Salta, Argentina
| | | | - Raul Piedrabuena
- Clínica Universitaria Reina Fabiola, Córdoba, Instituto Lennox, Córdoba, Argentina
| | - Verónica Tkachuk
- Neuroinmunologia Hospital de Clínicas "José de san Martin", CABA, Argentina
| | - Andres Barboza
- Servicio de Neurología, Hospital Central Mendoza, Mendoza, Argentina
| | - Alejandra Martinez
- Sección de Enfermedades Desmielinizantes - Hospital Británico, CABA, Argentina
| | - Maria E Balbuena
- Neuroinmunologia Hospital de Clínicas "José de san Martin", CABA, Argentina
| | | | - Pedro Nofal
- Hospital de Clínicas Nuestra Señora del Carmen, San Miguel de Tucumán, Tucumán, Argentina
| | - Pablo A Lopez
- Neuroimmunology Unit, Department of Neurosciences, Hospital Alemán, Buenos Aires, Argentina
| | - Dario Tavolini
- INECO Neurociencias Oroño - Fundación INECO, Rosario, Santa Fe, Argentina
| | | | - Javier P Hryb
- Neuroinmunología Clínica y Enfermedades Desmielinizantes. Hospital Carlos G Durand, CABA, Argentina
| | | | - Luciano Recchia
- Servicio de Neurología, Hospital Central Mendoza, Mendoza, Argentina
| | | | | | | | - Fatima Pagani
- Instituto de Neurociencias Fundación Favaloro, Hospital Universitario Austral, Buenos Aires, Argentina
| | | | - Maria C Curbelo
- Sección de Enfermedades Desmielinizantes - Hospital Británico, CABA, Argentina
| | | | | | | | - Juan P Pettinicchi
- Neuroimmunology Unit, Department of Neurosciences, Hospital Alemán, Buenos Aires, Argentina
| | - Adriana Carra
- Sección de Enfermedades Desmielinizantes - Hospital Británico, CABA, Argentina
| | - Gustavo Jose
- Clínica San Jorge, Ushuaia, Tierra del fuego, Argentina
| | | | - Santiago Bestoso
- Servicio de Neurología - Hospital Escuela José F. de San Martín Corrientes, Corrientes, Argentina
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Ritson M, Wheeler-Jones CPD, Stolp HB. Endothelial dysfunction in neurodegenerative disease: Is endothelial inflammation an overlooked druggable target? J Neuroimmunol 2024; 391:578363. [PMID: 38728929 DOI: 10.1016/j.jneuroim.2024.578363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/29/2024] [Accepted: 05/02/2024] [Indexed: 05/12/2024]
Abstract
Neurological diseases with a neurodegenerative component have been associated with alterations in the cerebrovasculature. At the anatomical level, these are centred around changes in cerebral blood flow and vessel organisation. At the molecular level, there is extensive expression of cellular adhesion molecules and increased release of pro-inflammatory mediators. Together, these has been found to negatively impact blood-brain barrier integrity. Systemic inflammation has been found to accelerate and exacerbate endothelial dysfunction, neuroinflammation and degeneration. Here, we review the role of cerebrovasculature dysfunction in neurodegenerative disease and discuss the potential contribution of intermittent pro-inflammatory systemic disease in causing endothelial pathology, highlighting a possible mechanism that may allow broad-spectrum therapeutic targeting in the future.
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Affiliation(s)
- Megan Ritson
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London NW1 0TU, UK
| | | | - Helen B Stolp
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London NW1 0TU, UK.
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Montobbio N, Bovis F, Signori A, Ponzano M, Schiavetti I, Sormani MP. Therapeutic lag: Is treatment effect delayed in progressive MS? Mult Scler 2024; 30:843-846. [PMID: 38616520 DOI: 10.1177/13524585241244751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
BACKGROUND Randomized clinical trials (RCTs) in progressive multiple sclerosis (MS) often revealed non-significant treatment effects on disability progression. OBJECTIVES To investigate whether the failure to detect a significant benefit from treatment may be motivated by a delay in treatment effect, possibly related to baseline characteristics. METHODS We re-analyzed data from two RCTs testing interferon-beta and glatiramer-acetate versus placebo in progressive MS with no significant effect on EDSS progression. We first designed a time-dependent Cox model with no treatment effect up to time = t0, and constant hazard ratio (HR) after time = t0. We selected the best-fitting t0 from 0 (standard Cox model) to 2.5 years. Furthermore, we modeled the delay as a function of baseline EDSS and fitted the resulting Cox model to the merged dataset. RESULTS The time-dependent Cox model revealed a significant benefit of treatment delayed by t0 = 2.5 years for the SPECTRIMS study (HR = 0.65 (0.43-0.98), p = 0.041), and delayed by t0 = 2 years for the PROMISE study (HR = 0.65, (0.42-0.99), p = 0.044). In the merged dataset, the HR for the EDSS-dependent delayed effect was 0.68 (0.56, 0.82), p < 0.001. CONCLUSION The assumption of a delayed treatment effect improved the fit to the data of the two examined RCTs, uncovering a significant, although shifted, benefit of treatment.
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Affiliation(s)
- Noemi Montobbio
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Francesca Bovis
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Alessio Signori
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Marta Ponzano
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Irene Schiavetti
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Maria Pia Sormani
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy/IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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Hirt J, Dembowska K, Woelfle T, Axfors C, Granziera C, Kuhle J, Kappos L, Hemkens LG, Janiaud P. Clinical trial evidence of quality-of-life effects of disease-modifying therapies for multiple sclerosis: a systematic analysis. J Neurol 2024; 271:3131-3141. [PMID: 38625399 PMCID: PMC11136790 DOI: 10.1007/s00415-024-12366-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/28/2024] [Accepted: 03/30/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND Increasingly, patients, clinicians, and regulators call for more evidence on the impact of innovative medicines on quality of life (QoL). We assessed the effects of disease-modifying therapies (DMTs) on QoL in people with multiple sclerosis (PwMS). METHODS Randomized trials assessing approved DMTs in PwMS with results for at least one outcome referred to as "quality of life" were searched in PubMed and ClinicalTrials.gov. RESULTS We identified 38 trials published between 1999 and 2023 with a median of 531 participants (interquartile range (IQR) 202 to 941; total 23,225). The evaluated DMTs were mostly interferon-beta (n = 10; 26%), fingolimod (n = 7; 18%), natalizumab (n = 5; 13%), and glatiramer acetate (n = 4; 11%). The 38 trials used 18 different QoL instruments, with up to 11 QoL subscale measures per trial (median 2; IQR 1-3). QoL was never the single primary outcome. We identified quantitative QoL results in 24 trials (63%), and narrative statements in 15 trials (39%). In 16 trials (42%), at least one of the multiple QoL results was statistically significant. The effect sizes of the significant quantitative QoL results were large (median Cohen's d 1.02; IQR 0.3-1.7; median Hedges' g 1.01; IQR 0.3-1.69) and ranged between d 0.14 and 2.91. CONCLUSIONS Certain DMTs have the potential to positively impact QoL of PwMS, and the assessment and reporting of QoL is suboptimal with a multitude of diverse instruments being used. There is an urgent need that design and reporting of clinical trials reflect the critical importance of QoL for PwMS.
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Affiliation(s)
- Julian Hirt
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, CH-4031, Basel, Switzerland
- Institute of Nursing Science, Department of Health, Eastern Switzerland University of Applied Sciences, St.Gallen, Switzerland
| | - Kinga Dembowska
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, CH-4031, Basel, Switzerland
| | - Tim Woelfle
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, CH-4031, Basel, Switzerland
- Department of Neurology and MS Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Cathrine Axfors
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, CH-4031, Basel, Switzerland
| | - Cristina Granziera
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, CH-4031, Basel, Switzerland
- Department of Neurology and MS Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, CH-4031, Basel, Switzerland
- Department of Neurology and MS Center, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, CH-4031, Basel, Switzerland
| | - Lars G Hemkens
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, CH-4031, Basel, Switzerland
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA
| | - Perrine Janiaud
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, CH-4031, Basel, Switzerland.
- Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA.
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Li V, Binder MD, Purcell AW, Kilpatrick TJ. Antigen-specific immunotherapy via delivery of tolerogenic dendritic cells for multiple sclerosis. J Neuroimmunol 2024; 390:578347. [PMID: 38663308 DOI: 10.1016/j.jneuroim.2024.578347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/22/2024] [Accepted: 04/17/2024] [Indexed: 05/13/2024]
Abstract
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system resulting from loss of immune tolerance. Many disease-modifying therapies for MS have broad immunosuppressive effects on peripheral immune cells, but this can increase risks of infection and attenuate vaccine-elicited immunity. A more targeted approach is to re-establish immune tolerance in an autoantigen-specific manner. This review discusses methods to achieve this, focusing on tolerogenic dendritic cells. Clinical trials in other autoimmune diseases also provide learnings with regards to clinical translation of this approach, including identification of autoantigen(s), selection of appropriate patients and administration route and frequency.
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Affiliation(s)
- Vivien Li
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville 3010, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, Australia.
| | - Michele D Binder
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville 3010, Australia
| | - Anthony W Purcell
- Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia
| | - Trevor J Kilpatrick
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville 3010, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, Australia
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Schilke ED, Remoli G, Funelli E, Galimberti M, Fusco ML, Cereda D, Balducci C, Frigo M, Cavaletti G. Current use of fluid biomarkers as outcome measures in Multiple Sclerosis (MS): a review of ongoing pharmacological clinical trials. Neurol Sci 2024; 45:1931-1944. [PMID: 38117403 PMCID: PMC11021285 DOI: 10.1007/s10072-023-07228-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 11/25/2023] [Indexed: 12/21/2023]
Abstract
The present study aims to describe the state of the art of fluid biomarkers use in ongoing multiple sclerosis (MS) clinical trials.A review of 608 ongoing protocols in the clinicaltrials.gov and EudraCT databases was performed. The trials enrolled patients with a diagnosis of relapsing remitting MS, secondary progressive MS, and/or primary progressive MS according to Revised McDonald criteria or relapsing MS according to Lublin et al. (2014). The presence of fluid biomarkers among the primary and/or secondary study outcomes was assessed.Overall, 5% of ongoing interventional studies on MS adopted fluid biomarkers. They were mostly used as secondary outcomes in phase 3-4 clinical trials to support the potential disease-modifying properties of the intervention. Most studies evaluated neurofilament light chains (NfLs). A small number considered other novel fluid biomarkers of neuroinflammation and neurodegeneration such as glial fibrillary acid protein (GFAP).Considering the numerous ongoing clinical trials in MS, still a small number adopted fluid biomarkers as outcome measures, thus testifying the distance from clinical practice. In most protocols, fluid biomarkers were used to evaluate the effectiveness of approved second-line therapies, but also, new drugs (particularly Bruton kinase inhibitors). NfLs were also adopted to monitor disease progression after natalizumab suspension in stable patients, cladribine efficacy after anti-CD20 discontinuation, and the efficacy of autologous hematopoietic stem cell transplant (AHSCT) compared to medical treatment. Nevertheless, further validation studies are needed for all considered fluid biomarkers to access clinical practice, and cost-effectiveness in the "real word" remains to be clarified.
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Affiliation(s)
- Edoardo Dalmato Schilke
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy.
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy.
| | - Giulia Remoli
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Eugenio Funelli
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Michela Galimberti
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Maria Letizia Fusco
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Diletta Cereda
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Claudia Balducci
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Maura Frigo
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Guido Cavaletti
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
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Mascarenas-Garcia M, Rivero-de-Aguilar A, Pérez-Ríos M, Ruano-Raviña A, Llaneza-Gonzalez MA, Candal-Pedreira C, Rey-Brandariz J, Varela-Lema L. Best practices in phase III clinical trials on DMTs for multiple sclerosis: a systematic analysis and appraisal of published trials. J Neurol Neurosurg Psychiatry 2024; 95:333-341. [PMID: 37541785 DOI: 10.1136/jnnp-2023-331733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 06/26/2023] [Indexed: 08/06/2023]
Abstract
BACKGROUND Great advances have been made in the field of multiple sclerosis (MS) therapy due to the publication of numerous randomised clinical trials (RCTs). In this study, we carried out a critical appraisal of phase III RCTs of disease-modifying therapies (DMTs) for MS published after 2010, intending to identify critical areas of improvement. METHODS We performed a systematic search of published RCTs on MS from January 2010 until December 2021. RCTs were assessed using an ad-hoc tool. This tool was developed based on existing generic methodological instruments and MS-specific guidelines and methodological papers. It included 14 items grouped in 5 domains: methodological quality, adequacy and measurement of outcomes, adverse event reporting, applicability and relevance of results, and transparency and conflict of interest. RESULTS We identified 31 phase III RCTs. Most of them were fully compliant in terms of sample size (87%), randomisation (68%), blinding (61%), participant selection (68%), adverse event reporting (84%) and clinical relevance (52%). Only a few were compliant in terms of participant description (6%), comparison (42%), attrition bias (26%), adequacy of outcome measures (26%), applicability (23%), transparency (36%) and conflict of interest (6%). None were compliant in terms of analysis and reporting of outcomes. The most common limitations related to the absence of comorbidity data, unjustified use of placebo, inadequacy of outcomes design and absence of protocol and/or prospective registration. CONCLUSIONS RCTs for DMTs in MS have relevant and frequent limitations. These should be addressed to enhance their quality, transparency and external validity.
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Affiliation(s)
- Marta Mascarenas-Garcia
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Preventive Medicine and Public Health, University Hospital Complex of Santiago de Compostela, Santiago de Compostela, Spain
| | - Alejandro Rivero-de-Aguilar
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Department of Neurology, University Hospital Complex of Pontevedra, Pontevedra, Spain
| | - Mónica Pérez-Ríos
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela (Instituto de Investigación Sanitaria de Santiago de Compostela - IDIS), Santiago de Compostela, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública/CIBERESP), Madrid, Spain
| | - Alberto Ruano-Raviña
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela (Instituto de Investigación Sanitaria de Santiago de Compostela - IDIS), Santiago de Compostela, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública/CIBERESP), Madrid, Spain
| | | | - Cristina Candal-Pedreira
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela (Instituto de Investigación Sanitaria de Santiago de Compostela - IDIS), Santiago de Compostela, Spain
| | - Julia Rey-Brandariz
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Leonor Varela-Lema
- Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela (Instituto de Investigación Sanitaria de Santiago de Compostela - IDIS), Santiago de Compostela, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiología y Salud Pública/CIBERESP), Madrid, Spain
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Salter A, Lancia S, Kowalec K, Fitzgerald KC, Marrie RA. Investigating the Prevalence of Comorbidity in Multiple Sclerosis Clinical Trial Populations. Neurology 2024; 102:e209135. [PMID: 38350062 PMCID: PMC11067694 DOI: 10.1212/wnl.0000000000209135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 11/16/2023] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Comorbidity is common in multiple sclerosis (MS) with the most prevalent conditions being depression, anxiety, hypertension, and hyperlipidemia. Limited information regarding the representation of comorbidity status is available from phase III clinical trials in MS leading to concern about the potential underrepresentation of individuals with comorbidity in clinical trials. The objective was to estimate the prevalence of comorbidities in MS clinical trial populations. METHODS Individual-level data from multiple sponsors were requested for a 2-stage meta-analysis of phase III clinical trials of MS disease-modifying therapies. To ensure consistency of our approach across trials, we followed the Maelstrom retrospective harmonization guidelines. Chronic comorbidities at clinical trial enrollment recommended by the International Advisory Committee on Clinical Trials in MS were considered (depression, anxiety, hypertension, hyperlipidemia, migraine, diabetes, chronic lung disease). Additional comorbidities were also classified. Classification was based on medical history data. Individual comorbidities were summed and categorized as 0, 1, 2, or ≥3. We report the pooled prevalence (95% confidence interval [95% CI]) of comorbidity. The pooled prevalence and prevalence ratios across age, sex, race, disability level, and treatment were also reported. Heterogeneity was assessed using the I2 statistic. RESULTS Seventeen trials involving 17,926 participants were included. Fourteen trials enrolled participants with relapsing MS (RMS) while 3 enrolled participants with progressive MS (PMS). The distributions of sex, age, and disability level were generally consistent within RMS and PMS trials. When pooled, almost half of trial participants (46.5%) had ≥1 comorbidity (1: 25.0%, 95% CI 23.0-27.0, I2 = 89.9; 2: 11.4% [9.3-14.0], I2 = 96.3; ≥3: 6.0% [4.2-8.4], I2 = 97.7). Depression (16.45% [12.96-20.88], I2 = 98.3) was the most prevalent comorbidity reported, followed by hypertension (10.16% [8.61-11.98], I2 = 93.2). Heterogeneity was high across trials. Older age and female participants were associated with increased number of comorbidities. Older individuals and male participants had a higher prevalence of hyperlipidemia, while older individuals and female participants had a higher prevalence of depression and anxiety. DISCUSSION Individuals with comorbidities are included in clinical trials, although they may still be underrepresented compared with the general MS population. Given the comorbidity prevalence in the trial populations and studies suggesting an association of comorbidities with disease activity, comorbidity may influence outcomes in clinical trials.
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Affiliation(s)
- Amber Salter
- From the Department of Neurology (A.S., S.L.), Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, TX; College of Pharmacy (K.K.), Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Samantha Lancia
- From the Department of Neurology (A.S., S.L.), Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, TX; College of Pharmacy (K.K.), Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Kaarina Kowalec
- From the Department of Neurology (A.S., S.L.), Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, TX; College of Pharmacy (K.K.), Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Kathryn C Fitzgerald
- From the Department of Neurology (A.S., S.L.), Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, TX; College of Pharmacy (K.K.), Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Ruth Ann Marrie
- From the Department of Neurology (A.S., S.L.), Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, TX; College of Pharmacy (K.K.), Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
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Wu X, Wang S, Xue T, Tan X, Li J, Chen Z, Wang Z. Disease-modifying therapy in progressive multiple sclerosis: a systematic review and network meta-analysis of randomized controlled trials. Front Neurol 2024; 15:1295770. [PMID: 38529035 PMCID: PMC10962394 DOI: 10.3389/fneur.2024.1295770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 02/06/2024] [Indexed: 03/27/2024] Open
Abstract
Background Currently, disease-modifying therapies (DMTs) for progressive multiple sclerosis (PMS) are widely used in clinical practice. At the same time, there are a variety of drug options for DMTs, but the effect of the drugs that can better relieve symptoms and improve the prognosis are still inconclusive. Objectives This systematic review aimed to evaluate the efficacy and safety of DMTs for PMS and to identify the best among these drugs. Methods MEDLINE, EMBASE, the Cochrane Library, and clinicaltrials.gov were systematically searched to identify relevant studies published before 30 January, 2023. We assessed the certainty of the evidence using the confidence in the network meta-analysis (CINeMA) framework. We estimated the summary risk ratio (RR) for dichotomous outcomes and mean differences (MD) for continuous outcomes with 95% credible intervals (CrIs). Results We included 18 randomized controlled trials (RCTs) involving 9,234 patients in the study. DMT can effectively control the disease progression of MS. Among them, mitoxantrone, siponimod, and ocrelizumab are superior to other drug options in delaying disease progression (high certainty). Mitoxantrone was the best (with high certainty) for mitigating deterioration (progression of disability). Ocrelizumab performed best on the pre- and post-treatment Timed 25-Foot Walk test (T25FW; low certainty), as did all other agents (RR range: 1.12-1.05). In the 9-Hole Peg Test (9HPT), natalizumab performed the best (high certainty), as did all other agents (RR range: 1.59-1.09). In terms of imaging, IFN-beta-1b performed better on the new T2 hypointense lesion on contrast, before and after treatment (high certainty), while siponimod performed best on the change from baseline in the total volume of lesions on T2-weighted image contrast before and after treatment (high certainty), and sWASO had the highest area under the curve (SUCRA) value (100%). In terms of adverse events (AEs), rituximab (RR 1.01), and laquinimod (RR 1.02) were more effective than the placebo (high certainty). In terms of serious adverse events (SAEs), natalizumab (RR 1.09), and ocrelizumab (RR 1.07) were safer than placebo (high certainty). Conclusion DMTs can effectively control disease progression and reduce disease deterioration during the treatment of PMS. Systematic review registration https://inplasy.com/?s=202320071, identifier: 202320071.
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Affiliation(s)
- Xin Wu
- Department of Neurosurgery and Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Shixin Wang
- Department of Neurosurgery and Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Tao Xue
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xin Tan
- Department of Neurology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, China
| | - Jiaxuan Li
- Department of Neurosurgery and Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Zhouqing Chen
- Department of Neurosurgery and Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Zhong Wang
- Department of Neurosurgery and Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
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Chataway J, Williams T, Li V, Marrie RA, Ontaneda D, Fox RJ. Clinical trials for progressive multiple sclerosis: progress, new lessons learned, and remaining challenges. Lancet Neurol 2024; 23:277-301. [PMID: 38365380 DOI: 10.1016/s1474-4422(24)00027-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 10/04/2023] [Accepted: 01/12/2024] [Indexed: 02/18/2024]
Abstract
Despite the success of disease-modifying treatments in relapsing multiple sclerosis, for many individuals living with multiple sclerosis, progressive disability continues to accrue. How to interrupt the complex pathological processes underlying progression remains a daunting and ongoing challenge. Since 2014, several immunomodulatory approaches that have modest but clinically meaningful effects have been approved for the management of progressive multiple sclerosis, primarily for people who have active inflammatory disease. The approval of these drugs required large phase 3 trials that were sufficiently powered to detect meaningful effects on disability. New classes of drug, such as Bruton tyrosine-kinase inhibitors, are coming to the end of their trial stages, several candidate neuroprotective compounds have been successful in phase 2 trials, and innovative approaches to remyelination are now also being explored in clinical trials. Work continues to define intermediate outcomes that can provide results in phase 2 trials more quickly than disability measures, and more efficient trial designs, such as multi-arm multi-stage and futility approaches, are increasingly being used. Collaborations between patient organisations, pharmaceutical companies, and academic researchers will be crucial to ensure that future trials maintain this momentum and generate results that are relevant for people living with progressive multiple sclerosis.
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Affiliation(s)
- Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK; Medical Research Council Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK; National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK.
| | - Thomas Williams
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Vivien Li
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Ruth Ann Marrie
- Departments of Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Robert J Fox
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
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Choi S, Lake S, Harrison DM. Evaluation of the Blood-Brain Barrier, Demyelination, and Neurodegeneration in Paramagnetic Rim Lesions in Multiple Sclerosis on 7 Tesla MRI. J Magn Reson Imaging 2024; 59:941-951. [PMID: 37276054 PMCID: PMC10754232 DOI: 10.1002/jmri.28847] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND Paramagnetic rim lesions (PRLs) are associated with chronic inflammation in multiple sclerosis (MS). 7-Tesla (7T) magnetic resonance imaging (MRI) can evaluate the integrity of the blood-brain barrier (BBB) in addition to the tissue myelination status and cell loss. PURPOSE To use MRI metrics to investigate underlying physiology and clinical importance of PRLs. STUDY TYPE Prospective. SUBJECTS Thirty-six participants (mean-age 47, 23 females, 13 males) of mixed MS subtypes. FIELD STRENGTH/SEQUENCE 7T, MP2RAGE, MULTI-ECHO 3D-GRE, FLAIR. ASSESSMENT Lesion heterogeneity; longitudinal changes in lesion counts; comparison of T1, R2*, and χ; association between baseline lesion types and disease progression (2-3 annual MRI visits with additional years of annual clinical follow-up). STATISTICAL TESTS Two-sample t-test, Wilcoxon Rank-Sum test, Pearson's chi-square test, two-group comparison with linear-mixed-effect model, mixed-effect ANOVA, logistic regression. P-values <0.05 were considered significant. RESULTS A total of 58.3% of participants had at least one PRL at baseline. Higher male proportion in PRL+ group was found. Average change in PRL count was 0.20 (SD = 2.82) for PRLs and 0.00 (SD = 0.82) for mottled lesions. Mean and median pre-/post-contrast T1 were longer in PRL+ than in PRL-. No differences in mean χ were seen for lesions grouped by PRL (P = 0.310, pre-contrast; 0.086, post-contrast) or PRL/M presence (P = 0.234, pre-contrast; 0.163, post-contrast). Median χ were less negative in PRL+ and PRL/M+ than in PRL- and PRL/M-. Mean and median pre-/post-contrast R2* were slower in PRL+ compared to PRL-. Mean and median pre-/post-contrast R2* were slower in PRL/M+ than in PRL/M-. PRL presence at baseline was associated with confirmed EDSS Plus progression (OR 3.75 [1.22-7.59]) and PRL/M+ at baseline with confirmed EDSS Plus progression (OR 3.63 [1.14-7.43]). DATA CONCLUSION Evidence of BBB breakdown in PRLs was not seen. Quantitative metrics confirmed prior results suggesting greater demyelination, cell loss, and possibly disruption of tissue anisotropy in PRLs. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Seongjin Choi
- Department of Neurology, University of Maryland School of Medicine, Baltimore Maryland
| | - Sarah Lake
- Hasbro Children’s Hospital, Brown University
| | - Daniel M. Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore Maryland
- Department of Neurology, Baltimore Veterans Affairs Medical Center, Baltimore, Maryland
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Carlson AK, Fox RJ. Pathophysiology, Diagnosis, Treatment and Emerging Neurotherapeutic Targets for Progressive Multiple Sclerosis: The Age of PIRA. Neurol Clin 2024; 42:39-54. [PMID: 37980122 DOI: 10.1016/j.ncl.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2023]
Abstract
More than one million individuals are impacted by progressive forms of multiple sclerosis. The literature examining the management of MS has focused primarily on relapsing forms of disease, and effective therapies targeting progressive mechanisms in MS remains a significant unmet need. Despite this, there are several encouraging potential therapeutics on the horizon. Improved understanding of mechanisms underlying MS progression, identification and validation of biomarkers, identification of novel therapeutic targets, and improved trial design are needed to further propel progress in the management of individuals with progressive forms of MS.
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Affiliation(s)
- Alise K Carlson
- Cleveland Clinic Mellen Center, 9500 Euclid Avenue U10, Cleveland, OH 44195, USA
| | - Robert J Fox
- Cleveland Clinic Mellen Center, 9500 Euclid Avenue U10, Cleveland, OH 44195, USA.
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Kelly AJ, Long A. Targeting T-cell integrins in autoimmune and inflammatory diseases. Clin Exp Immunol 2024; 215:15-26. [PMID: 37556361 PMCID: PMC10776250 DOI: 10.1093/cei/uxad093] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/28/2023] [Accepted: 08/08/2023] [Indexed: 08/11/2023] Open
Abstract
The recruitment of T cells to tissues and their retention there are essential processes in the pathogenesis of many autoimmune and inflammatory diseases. The mechanisms regulating these processes have become better understood over the past three decades and are now recognized to involve temporally and spatially specific interactions between cell-adhesion molecules. These include integrins, which are heterodimeric molecules that mediate in-to-out and out-to-in signalling in T cells, other leukocytes, and most other cells of the body. Integrin signalling contributes to T-cell circulation through peripheral lymph nodes, immunological synapse stability and function, extravasation at the sites of inflammation, and T-cell retention at these sites. Greater understanding of the contribution of integrin signalling to the role of T cells in autoimmune and inflammatory diseases has focused much attention on the development of therapeutics that target T-cell integrins. This literature review describes the structure, activation, and function of integrins with respect to T cells, then discusses the use of integrin-targeting therapeutics in inflammatory bowel disease, multiple sclerosis, and psoriasis. Efficacy and safety data from clinical trials and post-marketing surveillance are presented for currently approved therapeutics, therapeutics that have been withdrawn from the market, and novel therapeutics currently in clinical trials. This literature review will inform the reader of the current means of targeting T-cell integrins in autoimmune and inflammatory diseases, as well as recent developments in the field.
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Affiliation(s)
- Aidan J Kelly
- Trinity Translational Medicine Institute, Trinity College Dublin, Trinity Centre for Health Sciences, St James's Hospital, Dublin D08 NHY1, Ireland
| | - Aideen Long
- Trinity Translational Medicine Institute, Trinity College Dublin, Trinity Centre for Health Sciences, St James's Hospital, Dublin D08 NHY1, Ireland
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Jakimovski D, Kavak KS, Zakalik K, McGraw C, Gottesman M, Coyle PK, Zivadinov R, Weinstock-Guttman B. Patient-reported outcomes based on discontinuation or continuous treatment with natalizumab: New York State Multiple Sclerosis Consortium (NYSMSC) study. J Neurol Sci 2023; 455:122781. [PMID: 37979415 DOI: 10.1016/j.jns.2023.122781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/18/2023] [Accepted: 11/05/2023] [Indexed: 11/20/2023]
Abstract
BACKGROUND Patient-reported outcomes (PRO) are increasingly utilized as part of the routine clinical assessment in people with multiple sclerosis (pwMS). The long-term effect of disease modifying therapies (DMTs) and their discontinuation on PRO measures remains largely unknown. METHODS Two pwMS groups treated with natalizumab were selected from the New York State MS Consortium (NYSMSC) database. The first group utilized long-term follow-up data of pwMS that either still continue natalizumab treatment or discontinued. Minimal requirement of three visits (before natalizumab initiation, during treatment and after discontinuation/latest follow-up) was implemented. The second group consisted of pwMS that completed PRO questionnaire on the day of the infusion and 7 days later PROs were assessed using the LIFEware System™ that assesses limitations in multiple physical and psychosocial domains. Additional physical disability was assessed using Expanded Disability Status Scale (EDSS) and Timed 25-ft walk test (T25FWT). PRO reports were Rasch-transformed, ranging from 0 to 100, with higher scores indicating a better outcome. Linear mixed-effect models and paired analyses were utilized. RESULTS Within the prospective cohort, 242 pwMS were followed on average of 6.5 years. Greater number of PRO domains worsened in the 141 pwMS that discontinued natalizumab when compared to 101 pwMS that remained on the drug (10 vs. 2 PRO domains). PwMS that discontinued natalizumab had significant decline in PROs regarding lower extremities, bladder and bower control and psychosocial aspects (feeling lonesome). Contrarily, pwMS that continued natalizumab had significant improvement in bladder and bowel PRO measures. Seven days after the natalizumab infusion, the 67 pwMS from the prospective cohort reported improvement in PRO measures of fatigue (62.8 vs. 66.4, p = 0.019), bladder limitations (80.3 vs. 85.0, p = 0.012), and feelings of lonesomeness (81.2 vs. 88.0, p = 0.009). CONCLUSION Continuous natalizumab treatment provides long-term stability or improvement in PRO measures. Natalizumab also provides short term improvements recorded after the infusion.
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Affiliation(s)
- 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; Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences University at Buffalo, Buffalo, NY, USA
| | - Katelyn S Kavak
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences University at Buffalo, Buffalo, NY, USA
| | - Karen Zakalik
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences University at Buffalo, Buffalo, NY, USA
| | - Corey McGraw
- Upstate Comprehensive Multiple Sclerosis Center, Department of Neurology, SUNY Upstate Medical University, 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; Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences University at Buffalo, Buffalo, NY, USA.
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Dzau W, Sharmin S, Patti F, Izquierdo G, Eichau S, Prat A, Girard M, Duquette P, Onofrj M, Lugaresi A, Ozakbas S, Gerlach O, Boz C, Grammond P, Terzi M, Amato MP, La Spitaleri D, Ramo-Tello C, Maimone D, Cartechini E, Buzzard K, Skibina O, van der Walt A, Butzkueven H, Iuliano G, Soysal A, Kalincik T. Risk of secondary progressive multiple sclerosis after early worsening of disability. J Neurol Neurosurg Psychiatry 2023; 94:984-991. [PMID: 37414538 DOI: 10.1136/jnnp-2023-331748] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 06/12/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND Whether progression independent of relapse activity (PIRA) heralds earlier onset of secondary progressive multiple sclerosis (SPMS) and more rapid accumulation of disability during SPMS remains to be determined. We investigated the association between early PIRA, relapse-associated worsening (RAW) of disability and time to SPMS, subsequent disability progression and their response to therapy. METHODS This observational cohort study included patients with relapsing-remitting multiple sclerosis (RRMS) from the MSBase international registry across 146 centres and 39 countries. Associations between the number of PIRA and RAW during early multiple sclerosis (MS) (the initial 5 years of MS onset) were analysed with respect to: time to SPMS using Cox proportional hazards models adjusted for disease characteristics; and disability progression during SPMS, calculated as the change of Multiple Sclerosis Severity Scores over time, using multivariable linear regression. RESULTS 10 692 patients met the inclusion criteria: 3125 (29%) were men and the mean MS onset age was 32.2 years. A higher number of early PIRA (HR=1.50, 95% CI 1.28 to 1.76, p<0.001) and RAW (HR=2.53, 95% CI 2.25 to 2.85, p<0.001) signalled a higher risk of SPMS. A higher proportion of early disease-modifying therapy exposure (per 10%) reduced the effect of early RAW (HR=0.94, 95% CI 0.89 to 1.00, p=0.041) but not PIRA (HR=0.97, 95% CI 0.91 to 1.05, p=0.49) on SPMS risk. No association between early PIRA/RAW and disability progression during SPMS was found. CONCLUSIONS Early disability increase during RRMS is associated with a greater risk of SPMS but not the rate of disability progression during SPMS. The deterioration associated with early relapses represents a potentially treatable risk factor of SPMS. TRIAL REGISTRATION NUMBER Australian New Zealand Clinical Trials Registry (ACTRN12605000455662).
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Affiliation(s)
- Winston Dzau
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Sifat Sharmin
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Francesco Patti
- Neuroscience, University of Catania Department of Surgical and Medical Sciences and Advanced Technologies 'G.F. Ingrassia', Catania, Italy
- Multiple Sclerosis Center, University of Catania, Catania, Italy
| | - Guillermo Izquierdo
- Department of Neurology, Hospital Universitario Virgen Macarena, Sevilla, Andalucía, Spain
| | - Sara Eichau
- Department of Neurology, Hospital Universitario Virgen Macarena, Sevilla, Andalucía, Spain
| | - Alexandre Prat
- MS Center, CHUM, Montreal, Quebec, Canada
- Faculty of Medicine, Universite de Montreal, Montreal, Quebec, Canada
| | - Marc Girard
- MS Center, CHUM, Montreal, Quebec, Canada
- Faculty of Medicine, Universite de Montreal, Montreal, Quebec, Canada
| | - Pierre Duquette
- MS Center, CHUM, Montreal, Quebec, Canada
- Faculty of Medicine, Universite de Montreal, Montreal, Quebec, Canada
| | - Marco Onofrj
- Department of Neuroscience, Imaging, and Clinical Sciences, Gabriele d'Annunzio University of Chieti and Pescara Department of Sciences, Chieti, Italy
| | - Alessandra Lugaresi
- Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
- UOSI Riabilitazione Sclerosi Multipla, IRCCS Istituto Delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - Serkan Ozakbas
- Faculty of Medicine, Dokuz Eylul Universitesi, Izmir, Turkey
| | - Oliver Gerlach
- Department of Neurology, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands
- School for Mental Health and Neuroscience, Universiteit Maastricht, Maastricht, The Netherlands
| | - Cavit Boz
- Medical Faculty, Karadeniz Technical University, Trabzon, Trabzon, Turkey
| | - Pierre Grammond
- Department of Neurology, CIUSSS du Centre-Ouest-de-l'Ile-de-Montreal, Montreal, Quebec, Canada
| | - Murat Terzi
- Medical Faculty, Ondokuz Mayis University, Samsun, Turkey
| | - Maria Pia Amato
- Department NEUROFARBA, University of Florence, Firenze, Italy
| | - Daniele La Spitaleri
- Department of Neurology, Azienda Ospedaliera di Rilievo Nazionale e di Alta Specialità San Giuseppe Moscati, Avellino, Italy
| | | | - Davide Maimone
- UO Neurologia, Azienda Ospedaliera di Rilievo Nazionale e di Alta Specializzazione Garibaldi, Catania, Sicilia, Italy
| | | | - Katherine Buzzard
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
- Department of Neurology, Box Hill Hospital, Box Hill, Victoria, Australia
- Department of Medicine, Monash University, Clayton, Victoria, Australia
| | - Olga Skibina
- Department of Neurology, Box Hill Hospital, Box Hill, Victoria, Australia
- Department of Medicine, Monash University, Clayton, Victoria, Australia
- Department of Neurology, The Alfred, Melbourne, Victoria, Australia
| | - Anneke van der Walt
- Department of Neurology, The Alfred, Melbourne, Victoria, Australia
- Central Clinical School, Monash University, Clayton, Victoria, Australia
| | - Helmut Butzkueven
- Department of Neurology, The Alfred, Melbourne, Victoria, Australia
- Central Clinical School, Monash University, Clayton, Victoria, Australia
| | - Gerardo Iuliano
- Department of Neurology, Azienda Ospedaliera Universitaria 'San Giovanni di Dio e Ruggi d'Aragona' Plesso 'Ruggi', Salerno, Italy
| | - Aysun Soysal
- Department of Neurology, Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul, Turkey
| | - Tomas Kalincik
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
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50
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Colato E, Prados F, Stutters J, Bianchi A, Narayanan S, Arnold DL, Wheeler-Kingshott C, Barkhof F, Ciccarelli O, Chard DT, Eshaghi A. Networks of microstructural damage predict disability in multiple sclerosis. J Neurol Neurosurg Psychiatry 2023; 94:992-1003. [PMID: 37468305 DOI: 10.1136/jnnp-2022-330203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 06/13/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Network-based measures are emerging MRI markers in multiple sclerosis (MS). We aimed to identify networks of white (WM) and grey matter (GM) damage that predict disability progression and cognitive worsening using data-driven methods. METHODS We analysed data from 1836 participants with different MS phenotypes (843 in a discovery cohort and 842 in a replication cohort). We calculated standardised T1-weighted/T2-weighted (sT1w/T2w) ratio maps in brain GM and WM, and applied spatial independent component analysis to identify networks of covarying microstructural damage. Clinical outcomes were Expanded Disability Status Scale worsening confirmed at 24 weeks (24-week confirmed disability progression (CDP)) and time to cognitive worsening assessed by the Symbol Digit Modalities Test (SDMT). We used Cox proportional hazard models to calculate predictive value of network measures. RESULTS We identified 8 WM and 7 GM sT1w/T2w networks (of regional covariation in sT1w/T2w measures) in both cohorts. Network loading represents the degree of covariation in regional T1/T2 ratio within a given network. The loading factor in the anterior corona radiata and temporo-parieto-frontal components were associated with higher risks of developing CDP both in the discovery (HR=0.85, p<0.05 and HR=0.83, p<0.05, respectively) and replication cohorts (HR=0.84, p<0.05 and HR=0.80, p<0.005, respectively). The decreasing or increasing loading factor in the arcuate fasciculus, corpus callosum, deep GM, cortico-cerebellar patterns and lesion load were associated with a higher risk of developing SDMT worsening both in the discovery (HR=0.82, p<0.01; HR=0.87, p<0.05; HR=0.75, p<0.001; HR=0.86, p<0.05 and HR=1.27, p<0.0001) and replication cohorts (HR=0.82, p<0.005; HR=0.73, p<0.0001; HR=0.80, p<0.005; HR=0.85, p<0.01 and HR=1.26, p<0.0001). CONCLUSIONS GM and WM networks of microstructural changes predict disability and cognitive worsening in MS. Our approach may be used to identify patients at greater risk of disability worsening and stratify cohorts in treatment trials.
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Affiliation(s)
- Elisa Colato
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Ferran Prados
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- e-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Jonathan Stutters
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Alessia Bianchi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Douglas L Arnold
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Claudia Wheeler-Kingshott
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, 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 Radiology and Nuclear Medicine, Amsterdam University Medical Centers, location Vrije Universiteit, Amsterdam, Netherlands
- Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Declan T Chard
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Arman Eshaghi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
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