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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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Yang F, Li X, Wang J, Duan Z, Ren C, Guo P, Kong Y, Bi M, Zhang Y. Identification of lipid metabolism-related gene markers and construction of a diagnostic model for multiple sclerosis: An integrated analysis by bioinformatics and machine learning. Anal Biochem 2025; 700:115781. [PMID: 39855613 DOI: 10.1016/j.ab.2025.115781] [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: 09/13/2024] [Revised: 12/20/2024] [Accepted: 01/20/2025] [Indexed: 01/27/2025]
Abstract
BACKGROUND Multiple sclerosis (MS) is an autoimmune inflammatory disorder that causes neurological disability. Dysregulated lipid metabolism contributes to the pathogenesis of MS. This study aimed to identify lipid metabolism-related gene markers and construct a diagnostic model for MS. METHODS Gene expression profiles for MS were obtained from the Gene Expression Omnibus database. Differentially expressed lipid metabolism-related genes (LMRGs) were identified and performed functional enrichment analysis. Least absolute shrinkage and selection operator (LASSO), random forest (RF), and protein-protein interaction (PPI) analysis were employed to screen hub genes. The predictive power of hub genes was evaluated using receiver operating characteristic (ROC) curves. We developed an artificial neural network (ANN) model and validated its performance in three test sets. Immune cell infiltration analysis, Gene set enrichment analysis, and ceRNA network construction were performed to explore the role of lipid metabolism in the pathogenesis of MS. Drugs prediction and molecular docking were utilized to identify potential therapeutic drugs. RESULTS We identified 40 differentially expressed LMRGs, with significant enrichment in Arachidonic acid metabolism, Steroid hormone biosynthesis, Fatty acid elongation, and Sphingolipid metabolism. AKR1C3, NFKB1, and ABCA1 were identified as gene markers for MS, and their expression was upregulated in the MS group. The areas under the ROC curve (AUCs) for AKR1C3, NFKB1, and ABCA1 in the training set were 0.779, 0.703, and 0.726, respectively. The ANN model exhibited good discriminative ability in both the training and test sets, achieving an AUC of 0.826 on the training set and AUC values of 0.822, 0.890, and 0.833 on the test sets. Gamma.delta.T.cell, Natural.killer.T.cell, Plasmacytoid.dendritic.cell, Regulatory.T.cell, and Type.1.T.helper.cell were highly expressed in the MS group. A ceRNA network showed a complex regulatory interplay involving hub genes. Luteolin, isoflavone, and thalidomide had good binding affinities to the hub genes. CONCLUSION Our study emphasized the crucial role of lipid metabolism in MS, identifing AKR1C3, NFKB1, and ABCA1 as gene markers. The ANN model exhibited good performance on both the training and testing sets. These findings offer valuable insights into the molecular mechanisms underlying MS, and establish a scientific foundation for future research.
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Affiliation(s)
- Fangjie Yang
- Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Xinmin Li
- School of Traditional Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Jing Wang
- Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Zhenfei Duan
- Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Chunlin Ren
- Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Pengxue Guo
- Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Yuting Kong
- Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Mengyao Bi
- Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Yasu Zhang
- Rehabilitation Medicine College, Henan University of Chinese Medicine, Zhengzhou, Henan, China.
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Oost W, Meilof JF, Baron W. Multiple sclerosis: what have we learned and can we still learn from electron microscopy. Cell Mol Life Sci 2025; 82:172. [PMID: 40266347 PMCID: PMC12018678 DOI: 10.1007/s00018-025-05690-0] [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: 01/18/2025] [Revised: 03/27/2025] [Accepted: 03/31/2025] [Indexed: 04/24/2025]
Abstract
Multiple sclerosis (MS) is an inflammatory neurodegenerative disease marked by the formation of demyelinated lesions in the central nervous system. MS lesions can undergo remyelination, temporarily alleviating symptoms, but as the disease advances, remyelination becomes less effective. Beyond lesions, normal-appearing brain tissue exhibits subtle alterations, potentially indicating a broader, diffuse pathology and/or increased susceptibility to lesion formation. The pathology of MS varies between grey and white matter lesions and their normal-appearing regions, which most likely relates to their distinct cellular composition. Despite insights gained from MRI studies, serum and blood analyses, and post-mortem tissue examination, the molecular mechanisms driving MS lesion formation and persistent demyelination remain poorly understood. Exploring less conventional methods, such as electron microscopy (EM), may provide valuable new insights. EM offers detailed, nanometre-scale structural analysis that may enhance findings from immunohistochemistry and 'omics' approaches on MS brain tissue. Although earlier EM studies from before the 1990's provided some foundational data, advancements in EM technology now enable more comprehensive and detailed structural analysis. In this review we outline the pathogenesis of MS, summarize current knowledge of its ultrastructural features, and highlight how cutting-edge EM techniques could uncover new insights into pathological processes, including lesion formation, remyelination failure and diffuse pathology, which may aid therapeutic development.
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Affiliation(s)
- Wendy Oost
- Department of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV, Groningen, The Netherlands
- MS Center Noord Nederland, Groningen, The Netherlands
| | - Jan F Meilof
- Department of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV, Groningen, The Netherlands
- MS Center Noord Nederland, Groningen, The Netherlands
- Department of Neurology, Martini Hospital, Groningen, The Netherlands
| | - Wia Baron
- Department of Biomedical Sciences, Section Molecular Neurobiology, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV, Groningen, The Netherlands.
- MS Center Noord Nederland, Groningen, The Netherlands.
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Mostaghimi Y, Haddadi M, Hojjati Z. lncRNA PAN3-AS1 Modulates Cilium Assemble Signaling Pathway Through Regulation of RPGR as a Potential MS Diagnostic Biomarker: Integrated Systems Biology Investigation. J Mol Neurosci 2025; 75:49. [PMID: 40227518 DOI: 10.1007/s12031-025-02331-w] [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: 02/02/2025] [Accepted: 03/07/2025] [Indexed: 04/15/2025]
Abstract
Multiple sclerosis (MS), an autoimmune condition of the central nervous system (CNS), can lead to demyelination and axonal degeneration in the brain and spinal cord, which can cause progressive neurologic disability. MS symptoms include dysautonomia and progressive decline in motor abilities. In this investigation, we performed an integrated bioinformatics and experimental approach to find the expression level and interaction of a novel long non-coding RNA (lncRNA), PAN3-AS1, in MS samples. Microarray analysis was performed by R Studio using GEOquery and limma packages. lncRNA-mRNA RNA interaction analysis was performed using the lncRRIsearch database. Pathway enrichment analysis was performed by KEGG and Reactome online software through the Enrichr database. Protein-protein interaction analysis was performed by STRING online software. Gene ontology (GO) analysis was performed by Enrichr database. Based on microarray analysis, lncRNA PAN3-AS1 has a significantly low expression in MS samples compared to the control (logFC - 1.2, adj. P. Val 0.03). qRT-PCR results approved bioinformatics analyses. ROC analysis revealed that PAN3-AS1 could be considered a potential diagnostic biomarker of MS. Based on lncRNA-mRNA interaction analysis, lncRNA PAN3-AS1 regulates the expression level of RPGR. RPGR and its protein interactome regulate the cilium assembly, chaperon-mediated autophagy, and microarray biogenesis. lncRNA PAN3-AS1, as a significant low-expressed lncRNA in MS samples, could be a potential diagnostic MS biomarker. PAN3-AS1 might regulate the expression level of cilium assembly and chaperon-mediated autophagy. Dysregulation of PAN3-AS1 might affect the expression of RPGR and its protein interactome.
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Affiliation(s)
- Yasaman Mostaghimi
- Department of Biology, Faculty of Basic Sciences, University of Zabol, Zabol, Iran
| | - Mohammad Haddadi
- Department of Biology, Faculty of Basic Sciences, University of Zabol, Zabol, Iran.
| | - Zohreh Hojjati
- Department of Biology, Faculty of Sciences, University of Isfahan, Isfahan, Iran
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Zarghami A, Hussain MA, van der Mei I, Simpson-Yap S, Ponsonby AL, Lechner-Scott J, Broadley SA, Lucas RM, Zhou Y, Lin X, Investigator Group A, Taylor BV. Long-term disability trajectories in multiple sclerosis: a group-based trajectory analysis of the AusLong cohort. J Neurol Neurosurg Psychiatry 2025; 96:424-434. [PMID: 39231584 DOI: 10.1136/jnnp-2024-333632] [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: 02/17/2024] [Accepted: 08/21/2024] [Indexed: 09/06/2024]
Abstract
BACKGROUND Previous natural history studies highlighted a consistent heterogeneity of disability trajectories among individuals with primary or secondary progressive multiple sclerosis (MS). However, evidence on disability progression in relapsing onset MS is scarce.The aim of this study was to investigate heterogeneity in disability accumulation over 10 years following a first clinical diagnosis of central nervous system demyelination (FCD) and identify genetic, demographic, environmental and clinical factors associated with these trajectories. METHODS We used group-based trajectory models to measure heterogeneity in disability trajectories based on the Expanded Disability Status Scale (EDSS) in a prospectively assessed cohort of 263 participants. To capture sustained neurological impairments and avoid issues related to significant changes in EDSS associated with relapse, we did not consider EDSS points recorded within 3 months of a relapse. RESULTS We identified three distinct and clinically meaningful disability trajectories: No/minimal, moderate and severe. Those in the no/minimal disability trajectory showed no appreciable progression of disability (median EDSS∼1 at 10-year review) while those in the moderate and severe disability trajectories experienced disability worsening (median time to reach EDSS 4 was 9 and 7 years, respectively). Compared with the no/minimal disability trajectory, those with older age, a higher number of relapses within the first 5 years post-FCD, and a higher number of comorbidities at baseline were more likely to be in the worse disability trajectory. Surprisingly, baseline MRI and anatomical site of initial symptoms did not influence long-term outcomes. CONCLUSIONS Those at higher risk of faster MS disability progression can be identified based on their early clinical characteristics with potential therapeutic implications for early intervention and treatment escalation.
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Affiliation(s)
- Amin Zarghami
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Mohammad Akhtar Hussain
- Barwon South West Public Health Unit, Barwon Health, Geelong, Australia, Geelong, Victoria, Australia
- IMPACT-Institute for Mental and Physical Health and Clinical Translation, Deakin University School of Medicine, Geelong, Victoria, Australia
| | - Ingrid van der Mei
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Steve Simpson-Yap
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- Neuroepidemiology unit, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia
| | - Anne-Louise Ponsonby
- The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
- Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Jeanette Lechner-Scott
- The University of Newcastle Hunter Medical Research Institute, New Lambton, New South Wales, Australia
- The University of Newcastle School of Medicine and Public Health, Callaghan, New South Wales, Australia
| | - Simon A Broadley
- School of Medicine, Griffith University, Nathan, Queensland, Australia
- Department of Neurology, Gold Coast University Hospital, Southport, Queensland, Australia
| | - Robyn M Lucas
- National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australian Capital Territory, Australia
| | - Yuan Zhou
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Xin Lin
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | | | - Bruce V Taylor
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
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Magyari M, Elberling F, Koch‐Henriksen N. The Phenotypes of Multiple Sclerosis Differ Significantly in Relative and Excess Mortality. Eur J Neurol 2025; 32:e70122. [PMID: 40243212 PMCID: PMC12004394 DOI: 10.1111/ene.70122] [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: 09/28/2024] [Revised: 02/10/2025] [Accepted: 03/09/2025] [Indexed: 04/18/2025]
Abstract
BACKGROUND Patients With Multiple Sclerosis (MS) Have Higher Mortality Than Matched Background Populations. We Compare Relative and Excess Mortality in MS Over the Matched Background Populations Between Primary Progressive MS (PPMS), relapsing Onset MS (ROMS), and Secondary Progressive MS (SPMS). METHODS We included all patients from the nationwide and complete Danish MS Registry with onset 1994-2022 and compared the extra mortality of the MS phenotypes in terms of relative and excess mortality, with adjustment for sex, age at onset, disease-modifying treatment, and number of recorded relapses. We calculated the adjusted ratios of relative and excess mortalities between PPMS and ROMS and between PPMS and SPMS. RESULTS The initial course was unknown in 221, leaving 1412 cases with PPMS (which includes progressive relapsing MS) and 12,449 cases with ROMS. 627 had died during follow-up by the end of 2022. After adjustment, both ratios between PPMS and ROMS came close to unity, indicating that the excess mortality is equal for PPMS and ROMS in the long run. The adjusted relative and additive mortalities were factors 6.05 (95% CI 4.42-8.27) and 1.90 (95% CI 1.65-2.18) higher in SPMS than in PPMS. CONCLUSIONS Compared with the matched population, the adjusted relative and excess mortalities are the same for PPMS and ROMS. However, SPMS had a higher relative and excess mortality than PPMS, probably in part owing to the burden of disease carried over from the pre-progressive phase. This underlines the need for effective treatment in this later stage of the disease and more attention to comorbidity.
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Affiliation(s)
- Melinda Magyari
- The Danish Multiple Sclerosis RegistryCopenhagen University Hospital—RigshospitaletCopenhagenDenmark
- Danish Multiple Sclerosis Center, Department of NeurologyCopenhagen University Hospital—RigshospitaletGlostrupDenmark
- Institute for Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
| | - Frederik Elberling
- The Danish Multiple Sclerosis RegistryCopenhagen University Hospital—RigshospitaletCopenhagenDenmark
| | - Nils Koch‐Henriksen
- The Danish Multiple Sclerosis RegistryCopenhagen University Hospital—RigshospitaletCopenhagenDenmark
- Department of Clinical EpidemiologyAarhus University HospitalAarhusDenmark
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SoRelle ED, Luftig MA. Multiple sclerosis and infection: history, EBV, and the search for mechanism. Microbiol Mol Biol Rev 2025; 89:e0011923. [PMID: 39817754 PMCID: PMC11948499 DOI: 10.1128/mmbr.00119-23] [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] [Indexed: 01/18/2025] Open
Abstract
SUMMARYInfection has long been hypothesized as the cause of multiple sclerosis (MS), and recent evidence for Epstein-Barr virus (EBV) as the trigger of MS is clear and compelling. This clarity contrasts with yet uncertain viral mechanisms and their relation to MS neuroinflammation and demyelination. As long as this disparity persists, it will invigorate virologists, molecular biologists, immunologists, and clinicians to ascertain how EBV potentiates MS onset, and possibly the disease's chronic activity and progression. Such efforts should take advantage of the diverse body of basic and clinical research conducted over nearly two centuries since the first clinical descriptions of MS plaques. Defining the contribution of EBV to the complex and multifactorial pathology of MS will also require suitable experimental models and techniques. Such efforts will broaden our understanding of virus-driven neuroinflammation and specifically inform the development of EBV-targeted therapies for MS management and, ultimately, prevention.
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Affiliation(s)
- Elliott D. SoRelle
- Department of Molecular Genetics & Microbiology, Center for Virology, Duke University, Durham, North Carolina, USA
| | - Micah A. Luftig
- Department of Molecular Genetics & Microbiology, Center for Virology, Duke University, Durham, North Carolina, USA
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Goodin DS. The epidemiology, pathology and pathogenesis of MS: Therapeutic implications. Neurotherapeutics 2025:e00539. [PMID: 40021419 DOI: 10.1016/j.neurot.2025.e00539] [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: 11/02/2024] [Revised: 12/30/2024] [Accepted: 01/22/2025] [Indexed: 03/03/2025] Open
Abstract
Multiple sclerosis (MS) is a chronic, and potentially disabling, inflammatory disease of the central nervous system (CNS). MS is generally characterized by recurrent, and self-limited, episodes of neurological dysfunction, which occur unpredictably and often result in multifocal tissue injury within the CNS. Currently, women are affected two to three times as often as men although this may not have been the case during earlier Time-Periods. The pathogenesis of MS is known to involve both critical genetic and environmental mechanisms. Nevertheless, in addition to these two mechanisms, disease-pathogenesis also involves a "truly" random event. Indeed, it is this random mechanism, which is responsible for the currently-observed (and increasing) excess of women among patients with MS. This review summarizes the current state of knowledge regarding the pathogenesis of MS (includong its epidemiology, pathology, and genetics) and considers the therapeutic implications that these pathogenetic mechanisms have both for our currently available therapies as well as for the possible therapeutic approaches to the management of this potentially disabling condition in the future.
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Affiliation(s)
- Douglas S Goodin
- University of California, San Francisco and the San Francisco VA Medical Center, 675 Nelson Rising Lane, Suite #221D, San Francisco, CA 94158, USA.
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9
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Hollingworth BYA, Pallier PN, Jenkins SI, Chen R. Hypoxic Neuroinflammation in the Pathogenesis of Multiple Sclerosis. Brain Sci 2025; 15:248. [PMID: 40149770 PMCID: PMC11940507 DOI: 10.3390/brainsci15030248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2024] [Revised: 02/17/2025] [Accepted: 02/22/2025] [Indexed: 03/29/2025] Open
Abstract
Multiple sclerosis (MS) is an autoimmune disease that damages the myelin sheath around the central nervous system axons, leading to neurological dysfunction. Although the initial damage is driven by inflammation, hypoxia has been reported in several brain regions of MS patients, but the significance of this for prognosis and treatment remains unclear. Neuroinflammation can induce hypoxia, and hypoxia can induce and exacerbate neuroinflammation, forming a vicious cycle. Within MS lesions, demyelination is often followed by remyelination, which may restore neurological function. However, demyelinated axons are vulnerable to damage, which leads to the accumulation of the permanent neurological dysfunction typical in MS, with this vulnerability heightened during hypoxia. Clinically approved therapies for MS are immunomodulatory, which can reduce relapse frequency/severity, but there is a lack of pro-regenerative therapies for MS, for example promoting remyelination. All tissues have protective responses to hypoxia, which may be relevant to MS lesions, especially during remyelinating episodes. When oxygen levels are reduced in the brain, constitutively expressed hypoxia-inducible factors (HIF) are stabilised, upregulating hundreds of genes, including neuroprotective factors. Furthermore, astrocytes upregulate heparin-binding epidermal growth factor (EGF)-like growth factor (HB-EGF) in the early stage of MS. HB-EGF promotes protective mechanisms and induces oligodendrocyte and neuron differentiation and survival. This review article outlines the neuroinflammation and hypoxia cycle in MS pathology and identifies potential therapeutic targets to limit neurodegeneration and/or promote regeneration. Both HIF and HB-EGF signalling pathways induce endogenous protection mechanisms in the CNS, promoting neuroprotection and remyelination directly, but also indirectly by modulating the immune response in MS. Promoting such endogenous protective signalling pathways could be an effective therapy for MS patients.
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Affiliation(s)
| | - Patrick N. Pallier
- Centre for Neuroscience, Surgery and Trauma, The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK;
| | - Stuart I. Jenkins
- Neural Tissue Engineering Keele (NTEK), School of Medicine, Keele University, Staffordshire ST5 5BG, UK;
| | - Ruoli Chen
- School of Allied Health Professions and Pharmacy, Keele University, Staffordshire ST5 5BG, UK;
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10
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Filippi M, Amato MP, Avolio C, Gallo P, Gasperini C, Inglese M, Marfia GA, Patti F. Towards a biological view of multiple sclerosis from early subtle to clinical progression: an expert opinion. J Neurol 2025; 272:179. [PMID: 39891770 PMCID: PMC11787267 DOI: 10.1007/s00415-025-12917-4] [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: 10/17/2024] [Revised: 01/12/2025] [Accepted: 01/15/2025] [Indexed: 02/03/2025]
Abstract
The classification of multiple sclerosis (MS) into the two distinct phases of relapsing-remitting and progressive, including primary progressive and secondary progressive phenotypes (PPMS and SPMS, respectively) has long been accepted; however, there are several unmet needs associated with this particular model. The observation that both inflammation and neurodegeneration are present from the onset of MS has resulted in a paradigm shift towards MS as a disease continuum driven by pathological mechanisms underlying clinical progression. Here we report the results from a meeting of Italian MS specialists, exploring the evolving perception of MS pathobiology and its implications for diagnosis and treatment. Insights garnered from the expert panel advocate for a redefined understanding of MS. This expert opinion paper reviews the disease continuum and the intertwined nature of inflammatory and neurodegenerative processes. Also, the need for changes in diagnostic criteria and treatment strategies, including the development of novel biomarkers and new therapies targeting smouldering disease, is discussed.
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Affiliation(s)
- Massimo Filippi
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
| | - Maria Pia Amato
- University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Carlo Avolio
- Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
- Azienda Ospedaliero-Universitaria Policlinico, Foggia, Italy
| | - Paolo Gallo
- University of Padua, Padua, Italy
- Azienda Ospedaliera of Padua, Padua, Italy
| | | | - 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
| | - Girolama Alessandra Marfia
- Multiple Sclerosis Clinical and Research Unit, Fondazione Policlinico Tor Vergata, Department of Systems Medicine, University Tor Vergata, Rome, Italy
| | - Francesco Patti
- Department of Medical and Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy
- Azienda Ospedaliero-Universitaria Policlinico "G. Rodolico-S. Marco", Catania, Italy
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11
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Shin HG, Kim W, Lee JH, Lee HS, Nam Y, Kim J, Li X, van Zijl PCM, Calabresi PA, Lee J, Jang J. Association of iron deposition in MS lesion with remyelination capacity using susceptibility source separation MRI. Neuroimage Clin 2025; 45:103748. [PMID: 39904206 PMCID: PMC11847087 DOI: 10.1016/j.nicl.2025.103748] [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: 11/30/2024] [Revised: 01/21/2025] [Accepted: 01/29/2025] [Indexed: 02/06/2025]
Abstract
OBJECTIVES Susceptibility source-separation (χ-separation) MRI provides in-vivo proxy of myelin (diamagnetic susceptibility, χdia) and iron concentrations (paramagnetic susceptibility, χpara) in the central nervous system, potentially uncovering myelin- and iron-related pathology in multiple sclerosis (MS) lesions (e.g., demyelination, remyelination, and iron-laden microglia/macrophages formation). This study aims to monitor longitudinal changes in χpara and χdia signals within MS lesions using χ-separation and evaluate the association between lesional iron and remyelination capability. METHODS Fifty participants with MS (pwMS) were followed annually over a mean period of 3.3 years (SD = 1.8 years) with MRI, including χ-separation, and clinical assessments. To monitor lesions from their early stage (lesion age < 1 year), we identified newly-noted lesions (NNLs) and contrast-enhancing lesions (CELs), and tracked their longitudinal changes in χpara and χdia signals. RESULTS Twenty-three pwMS were detected with NNLs and/or CELs (38 NNLs, 31 CELs;7 overlapped). Among these lesions (62 lesions in total), 27 exhibited χpara hyperintensity, termed hyper-paramagnetic sign (HPS), indicating iron deposition "throughout" the lesion (not confined to rim sign). Early-stage HPS correlated with future remyelination failure detected by χdia myelin signals (P < 0.001). After adjustment, lesions with early HPS demonstrated an annual loss in myelin signal (-1.94 ppb/year), whereas those without early HPS exhibited annual recovery (+0.66 ppb/year). Participants with confirmed disability improvement (CDI) had fewer HPS-positive lesions at baseline than those without CDI (P < 0.001). CONCLUSION The presence of HPS is associated with impaired remyelination capacity and a lack of disease improvement in pwMS. Identifying HPS may help demarcate lesions more amenable to myelin repair therapies.
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Affiliation(s)
- Hyeong-Geol Shin
- Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD 21218, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, United States
| | - Woojun Kim
- Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Jung Hwan Lee
- Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Hyun-Soo Lee
- MR Research Collaboration, Siemens Healthineers, Seoul 06620, Republic of Korea
| | - Yoonho Nam
- Division of Biomedical Engineering, Hankuk University of Foreign Studies, Yongin 17035, South Korea
| | - Jiwoong Kim
- Department of Mathematics and Statistics, University of South Florida, Tampa, FL 33620, United States
| | - Xu Li
- Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD 21218, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, United States
| | - Peter C M van Zijl
- Department of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD 21218, United States; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD 21205, United States
| | - Peter A Calabresi
- Department of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21218, United States
| | - Jongho Lee
- Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Jinhee Jang
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea; Institute for Precision Health, University of California, Irvine, Irvine, CA 92697, United States.
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12
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Lorenzut S, Negro ID, Pauletto G, Verriello L, Spadea L, Salati C, Musa M, Gagliano C, Zeppieri M. Exploring the Pathophysiology, Diagnosis, and Treatment Options of Multiple Sclerosis. J Integr Neurosci 2025; 24:25081. [PMID: 39862004 DOI: 10.31083/jin25081] [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: 06/01/2024] [Revised: 08/09/2024] [Accepted: 08/27/2024] [Indexed: 01/27/2025] Open
Abstract
The complicated neurological syndrome known as multiple sclerosis (MS) is typified by demyelination, inflammation, and neurodegeneration in the central nervous system (CNS). Managing this crippling illness requires an understanding of the complex interactions between neurophysiological systems, diagnostic techniques, and therapeutic methods. A complex series of processes, including immunological dysregulation, inflammation, and neurodegeneration, are involved in the pathogenesis of MS. Gene predisposition, autoreactive T cells, B cells, and cytokines are essential participants in the development of the disease. Demyelination interferes with the ability of the CNS to transmit signals, which can cause a variety of neurological symptoms, including impaired motor function, sensory deficiencies, and cognitive decline. Developing tailored therapeutics requires understanding the underlying processes guiding the course of the disease. Neuroimaging, laboratory testing, and clinical examination are all necessary for an accurate MS diagnosis. Evoked potentials and cerebrospinal fluid studies assist in verifying the diagnosis, but magnetic resonance imaging (MRI) is essential for identifying distinctive lesions in the CNS. Novel biomarkers have the potential to increase diagnostic precision and forecast prognosis. The goals of MS treatment options are to control symptoms, lower disease activity, and enhance quality of life. To stop relapses and reduce the course of the disease, disease-modifying treatments (DMTs) target several components of the immune response. DMTs that are now on the market include interferons, glatiramer acetate, monoclonal antibodies, and oral immunomodulators; each has a unique mode of action and safety profile. Symptomatic treatments improve patients' general well-being by addressing specific symptoms, including pain, sphincter disorders, fatigue, and spasticity. Novel treatment targets, neuroprotective tactics, and personalized medicine techniques will be the main focus of MS research in the future. Improving long-term outcomes for MS patients and optimizing disease treatment may be possible by utilizing immunology, genetics, and neuroimaging developments. This study concludes by highlighting the complexity of multiple MS, including its changing therapeutic landscape, diagnostic problems, and neurophysiological foundations. A thorough grasp of these elements is essential to improving our capacity to identify, manage, and eventually overcome this intricate neurological condition.
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Affiliation(s)
- Simone Lorenzut
- Neurology Unit, "Head, Neck and Neurosciences" Department, University Hospital of Udine, 33100 Udine, Italy
| | - Ilaria Del Negro
- Neurology Unit, S. Tommaso dei Battuti Hospital, 30026 Portrogruaro (Venice), Italy
| | - Giada Pauletto
- Neurology Unit, "Head, Neck and Neurosciences" Department, University Hospital of Udine, 33100 Udine, Italy
| | - Lorenzo Verriello
- Neurology Unit, "Head, Neck and Neurosciences" Department, University Hospital of Udine, 33100 Udine, Italy
| | - Leopoldo Spadea
- Eye Clinic, Policlinico Umberto I, "Sapienza" University of Rome, 00142 Rome, Italy
| | - Carlo Salati
- Department of Ophthalmology, University Hospital of Udine, 33100 Udine, Italy
| | - Mutali Musa
- Department of Optometry, University of Benin, 300238 Benin, Edo, Nigeria
| | - Caterina Gagliano
- Department of Medicine and Surgery, University of Enna "Kore", 94100 Enna, Italy
- Eye Clinic Catania University San Marco Hospital, 95121 Catania, Italy
| | - Marco Zeppieri
- Department of Ophthalmology, University Hospital of Udine, 33100 Udine, Italy
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13
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Schoeps VA, Bhargava P, Virupakshaiah A, Ladakis DC, Moseley C, Chong J, Aaen G, Graves JS, Benson L, Gorman MP, Rensel M, Abrams A, Mar S, Lotze TE, Chitnis T, Waldman A, Krupp L, Rodriguez M, Tillema JM, Rose J, Schreiner T, Qureshi F, Peterson S, Barcellos LF, Casper TC, Newman J, Borkowski K, Waubant E. Distinct plasma lipids predict axonal injury and multiple sclerosis activity. J Neurol Neurosurg Psychiatry 2025; 96:150-157. [PMID: 39266284 DOI: 10.1136/jnnp-2024-333652] [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: 02/22/2024] [Accepted: 06/19/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND Lipids are of particular interest for the study of neuroinjury and neuroinflammation as structural lipids are major components of myelin, and a variety of lipid species modulate inflammation. In this study, we performed an in-depth lipidomics analysis to identify lipids associated with injury and disease activity. METHODS Plasma samples were collected from paediatric-onset multiple sclerosis (MS) cases within 4 years of disease onset from 17 sites. The lipidome was measured using untargeted and targeted mass spectrometry. For cross-sectional analyses, the agreement between multiple machine learning models was used to predict neurofilament light chain (NfL) levels. In longitudinal analyses, the association between clinical (relapse count) and imaging (MRI count with ≥1 enhancing or new T2 lesion) outcomes with each metabolite was estimated using adjusted negative binomial regression. RESULTS At sample collection, 68% of the 435 included individuals were treatment-naive, with a median disease duration of 0.8 years (IQR 0.3-1.7). For longitudinal analyses, 381 and 335 subjects had at least 1 year of clinical and imaging follow-up, respectively. In cross-sectional analyses, NfL chain levels identified structural lipids (phosphatidylcholines and phosphatidylethanolamines) as the highest-performing predictors, including external validation. In contrast, longitudinal analyses found polyunsaturated fatty acids (PUFAs) and their derivatives to be protective from subsequent disease activity (q<0.001, multiple outcomes). CONCLUSION There are two categories of lipids associated with MS processes. First, structural lipids strongly associated with NfL levels may result from cell lysis secondary to acute inflammation. In contrast, PUFAs, especially ω-3, had a protective effect on subsequent disease activity.
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Affiliation(s)
- Vinicius A Schoeps
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Pavan Bhargava
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Akash Virupakshaiah
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | | | - Carson Moseley
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Janet Chong
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Gregory Aaen
- Loma Linda University, Loma Linda, California, USA
| | - Jennifer S Graves
- Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Leslie Benson
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Mark P Gorman
- Department of Neurology, Boston Children's Hospital, Boston, Massachusetts, USA
| | | | | | - Soe Mar
- Washington University in St Louis, St Louis, Missouri, USA
| | | | - Tanuja Chitnis
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Amy Waldman
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Lauren Krupp
- Department of Neurology, NYU Langone Health, New York, New York, USA
| | | | | | - John Rose
- University of Utah Health, Salt Lake City, Utah, USA
| | | | | | | | | | | | - John Newman
- University of California Davis West Coast Metabolomics Center, Davis, California, USA
- Department of Agriculture, USDA-ARS Western Human Nutrition Research Center, Davis, California, USA
- Department of Nutrition, University of California Davis, Davis, CA, USA
| | - Kamil Borkowski
- University of California Davis West Coast Metabolomics Center, Davis, California, USA
| | - Emmanuelle Waubant
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
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14
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Shriwash N, Aiman A, Singh P, Basir SF, Shamsi A, Shahid M, Dohare R, Islam A. Understanding the role of potential biomarkers in attenuating multiple sclerosis progression via multiomics and network-based approach. PLoS One 2024; 19:e0314428. [PMID: 39700118 DOI: 10.1371/journal.pone.0314428] [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: 07/26/2024] [Accepted: 11/10/2024] [Indexed: 12/21/2024] Open
Abstract
BACKGROUND Multiple sclerosis (MS) is a complex neurological disorder marked by neuroinflammation and demyelination. Understanding its molecular basis is vital for developing effective treatments. This study aims to elucidate the molecular progression of MS using multiomics and network-based approach. METHODS We procured differentially expressed genes in MS patients and healthy controls by accessing mRNA dataset from a publicly accessible database. The DEGs were subjected to a non-trait weighted gene co-expression network (WGCN) for hub DEGs identification. These hub DEGs were utilized for enrichment, protein-protein interaction network (PPIN), and feed-forward loop (FFL) analyses. RESULTS We identified 880 MS-associated DEGs. WGCN revealed a total of 122 hub DEGs of which most significant pathway, gene ontology (GO)-biological process (BP), GO-molecular function (MF) and GO-cellular compartment (CC) terms were assembly and cell surface presentation of N-methyl-D-aspartate (NMDA) receptors, regulation of catabolic process, NAD(P)H oxidase H2O2 forming activity, postsynaptic recycling endosome. The intersection of top 10 significant pathways, GO-BP, GO-MF, GO-CC terms, and PPIN top cluster genests identified STAT3 and CREB1 as key biomarkers. Based on essential centrality measures, CREB1 was retained as the final biomarker. Highest-order subnetwork FFL motif comprised one TF (KLF7), one miRNA (miR-328-3p), and one mRNA (CREB1) based on essential centrality measures. CONCLUSIONS This study provides insights into the roles of potential biomarkers in MS progression and offers a system-level view of its molecular landscape. Further experimental validation is needed to confirm these biomarkers' significance, which will lead to early diagnostic and therapeutic advancements.
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Affiliation(s)
- Nitesh Shriwash
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Okhla, New Delhi, India
| | - Ayesha Aiman
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Okhla, New Delhi, India
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, Okhla, New Delhi, India
| | - Prithvi Singh
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Okhla, New Delhi, India
| | - Seemi Farhat Basir
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, Okhla, New Delhi, India
| | - Anas Shamsi
- Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
| | - Mohammad Shahid
- Department of Basic Medical Sciences, College of Medicine, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Ravins Dohare
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Okhla, New Delhi, India
| | - Asimul Islam
- Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Okhla, New Delhi, India
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15
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Du Y, Yang L, Wang X, Jiang N, Zhou Y, Chen R, Li H. Proteome Profiling of Experimental Autoimmune Encephalomyelitis Mouse Model and the Effect of a SUMO E1 Inhibitor. J Proteome Res 2024; 23:5312-5325. [PMID: 39568369 DOI: 10.1021/acs.jproteome.4c00229] [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: 11/22/2024]
Abstract
Multiple sclerosis (MS) is one of the most common neurodegenerative diseases, causing demyelination and inflammation in the central nervous system. The pathology of MS has been extensively studied using the experimental autoimmune encephalomyelitis (EAE) mouse model. However, the molecular mechanisms are still largely unclear and require further investigation. In this study, we carried out quantitative proteomic analysis of the brain and spinal cord tissues in mice induced with EAE using a data-independent acquisition strategy and identified 744 differentially regulated proteins in the brain and 741 in the spinal cord. The changed proteins were highly related with phagocytosis, lysosomal enzymes, inflammasome activation, complements, and synaptic loss processes. Moreover, gene set enrichment analysis revealed the elevation of the SUMOylation process in EAE with the increase of SUMOylation-related enzymes and modification targets. Furthermore, to test the possibility of treating MS by targeting SUMOylation, we explored the application of a selective SUMO E1 inhibitor, TAK-981. Intriguingly, TAK-981 suppressed the global SUMOylation level in the brain and significantly alleviated the symptoms of EAE in mice. Our findings contribute to a better understanding of MS pathology, reveal the important role of SUMOylation in disease progression, and demonstrate the potential of the SUMO E1 inhibitor as a novel treatment for MS.
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Affiliation(s)
- Yingdong Du
- School of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin 300072, China
| | - Linlin Yang
- School of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin 300072, China
| | - Xiaoxiao Wang
- General Surgery Department, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Na Jiang
- School of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin 300072, China
| | - Yanting Zhou
- General Surgery Department, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Ruibing Chen
- School of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin 300072, China
| | - Hongyan Li
- General Surgery Department, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
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16
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Monreal E, Fernández-Velasco JI, Álvarez-Lafuente R, Sainz de la Maza S, García-Sánchez MI, Llufriu S, Casanova B, Comabella M, Martínez-Yélamos S, Galimberti D, Ramió-Torrentà L, Martínez-Ginés ML, Aladro Y, Ayuso L, Martínez-Rodríguez JE, Brieva L, Villarrubia N, Eichau S, Zamora J, Rodero-Romero A, Espiño M, Blanco Y, Saiz A, Montalbán X, Tintoré M, Domínguez-Mozo MI, Cuello JP, Romero-Pinel L, Ghezzi L, Pilo de la Fuente B, Pérez-Miralles F, Quiroga-Varela A, Rubio L, Rodríguez-Jorge F, Chico-García JL, Sainz-Amo R, Masjuan J, Costa-Frossard L, Villar LM. Serum biomarkers at disease onset for personalized therapy in multiple sclerosis. Brain 2024; 147:4084-4093. [PMID: 39101570 DOI: 10.1093/brain/awae260] [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: 12/23/2023] [Revised: 05/24/2024] [Accepted: 07/06/2024] [Indexed: 08/06/2024] Open
Abstract
The potential for combining serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) levels to predict worsening disability in multiple sclerosis remains underexplored. We aimed to investigate whether sNfL and sGFAP values identify distinct subgroups of patients according to the risk of disability worsening and their response to disease-modifying treatments (DMTs). This multicentre study, conducted across 13 European hospitals, spanned from 15 July 1994 to 18 August 2022, with follow-up until 26 September 2023. We enrolled patients with multiple sclerosis who had serum samples collected within 12 months from disease onset and before initiating DMTs. Multivariable regression models were used to estimate the risk of relapse-associated worsening (RAW), progression independent of relapse activity (PIRA) and Expanded Disability Status Scale (EDSS) score of 3. Of the 725 patients included, the median age was 34.2 (interquartile range, 27.6-42.4) years, and 509 patients (70.2%) were female. The median follow-up duration was 6.43 (interquartile range, 4.65-9.81) years. Higher sNfL values were associated with an elevated risk of RAW [hazard ratio (HR) of 1.45; 95% confidence interval (CI) 1.19-1.76; P < 0.001], PIRA (HR of 1.43; 95% CI 1.13-1.81; P = 0.003) and reaching an EDSS of 3 (HR of 1.55; 95% CI 1.29-1.85; P < 0.001). Moreover, higher sGFAP levels were linked to a higher risk of achieving an EDSS score of 3 (HR of 1.36; 95% CI 1.06-1.74; P = 0.02) and, in patients with low sNfL values, to PIRA (HR of 1.86; 95% CI 1.01-3.45; P = 0.04). We also examined the combined effect of sNfL and sGFAP levels. Patients with low sNfL and sGFAP values exhibited a low risk of all outcomes and served as a reference. Untreated patients with high sNfL levels showed a higher risk of RAW, PIRA and reaching an EDSS of 3. Injectable or oral DMTs reduced the risk of RAW in these patients but failed to mitigate the risk of PIRA and reaching an EDSS of 3. Conversely, high-efficacy DMTs counteracted the heightened risk of these outcomes, except for the risk of PIRA in patients with high sNfL and sGFAP levels. Patients with low sNfL and high sGFAP values showed an increased risk of PIRA and achieving an EDSS of 3, which remained unchanged with either high-efficacy or other DMTs. In conclusion, evaluating sNfL and sGFAP levels at disease onset in multiple sclerosis might identify distinct phenotypes associated with diverse immunological pathways of disability acquisition and therapeutic response.
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Affiliation(s)
- Enric Monreal
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - José Ignacio Fernández-Velasco
- Department of Immunology, Hospital Universitario Ramón y Cajal, REEM, REI, IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - Roberto Álvarez-Lafuente
- Grupo Investigación de factores ambientales en enfermedades degenerativas, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Susana Sainz de la Maza
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - María Isabel García-Sánchez
- Nodo Biobanco Hospital Virgen Macarena (Biobanco del Sistema Sanitario Público de Andalucía), Hospital Universitario Virgen Macarena, 41013 Seville, Spain
| | - Sara Llufriu
- Neuroimmunology and Multiple Sclerosis Unit, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, 08036 Barcelona, Spain
| | - Bonaventura Casanova
- Multiple Sclerosis and Neuroimmunology Research Group, Fundación para la Investigación La Fe, 46026 Valencia, Spain
| | - Manuel Comabella
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebrón (VHIR), Hospital Universitari Vall d'Hebrón, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - Sergio Martínez-Yélamos
- Department of Neurology, Hospital Universitari de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, 08907 Barcelona, Spain
- Departament de Ciències Clíniques, Facultat de Medicina, Universitat de Barcelona, 08007 Barcelona, Spain
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20126 Milan, Italy
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Lluís Ramió-Torrentà
- Neuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Dr. Josep Trueta University Hospital, 17001, Girona, Spain
- Neurodegeneration and Neuroinflammation Research Group, Girona Biomedical Research Institute (IDIBGI), Dr. Josep Trueta University Hospital, 17001, Catalonia, Spain
- Department of Medical Sciences, School of Medicine, University of Girona, 17001 Girona, Spain
| | | | - Yolanda Aladro
- Department of Neurology, Hospital Universitario Getafe, Universidad Europea de Madrid, 28905 Madrid, Spain
| | - Lucía Ayuso
- Department of Neurology, Hospital Universitario Príncipe de Asturias, 28805 Alcalá de Henares, Spain
| | | | - Luis Brieva
- Hospital Arnau de Vilanova de Lleida, UdL Medicine Department, IRBLLEIDA, 25198 Lleida, Spain
| | - Noelia Villarrubia
- Department of Immunology, Hospital Universitario Ramón y Cajal, REEM, REI, IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - Sara Eichau
- Multiple Sclerosis Unit, Hospital Virgen Macarena, 41013 Sevilla, Spain
| | - Javier Zamora
- Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain
- Unidad de Bioestadística Clínica, Hospital Ramón y Cajal, 28034 Madrid, Spain
- CIBER Epidemiology and Public Health (CIBERESP), 28034 Madrid, Spain
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham B15 2TT, UK
| | - Alexander Rodero-Romero
- Department of Immunology, Hospital Universitario Ramón y Cajal, REEM, REI, IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - Mercedes Espiño
- Department of Immunology, Hospital Universitario Ramón y Cajal, REEM, REI, IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - Yolanda Blanco
- Neuroimmunology and Multiple Sclerosis Unit, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, 08036 Barcelona, Spain
| | - Albert Saiz
- Neuroimmunology and Multiple Sclerosis Unit, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, 08036 Barcelona, Spain
| | - Xavier Montalbán
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebrón (VHIR), Hospital Universitari Vall d'Hebrón, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - Mar Tintoré
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebrón (VHIR), Hospital Universitari Vall d'Hebrón, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - María Inmaculada Domínguez-Mozo
- Grupo Investigación de factores ambientales en enfermedades degenerativas, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Juan Pablo Cuello
- Department of Neurology, Hospital Universitario Gregorio Marañón, 28007 Madrid, Spain
| | - Lucía Romero-Pinel
- Department of Neurology, Hospital Universitari de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Laura Ghezzi
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20126 Milan, Italy
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Belén Pilo de la Fuente
- Department of Neurology, Hospital Universitario Getafe, Universidad Europea de Madrid, 28905 Madrid, Spain
| | - Francisco Pérez-Miralles
- Multiple Sclerosis and Neuroimmunology Research Group, Fundación para la Investigación La Fe, 46026 Valencia, Spain
| | - Ana Quiroga-Varela
- Neuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Dr. Josep Trueta University Hospital, 17001, Girona, Spain
| | - Lluïsa Rubio
- Department of Neurology, Hospital Universitario Getafe, Universidad Europea de Madrid, 28905 Madrid, Spain
| | - Fernando Rodríguez-Jorge
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - Juan Luís Chico-García
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - Raquel Sainz-Amo
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - Jaime Masjuan
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - Lucienne Costa-Frossard
- Department of Neurology, Hospital Universitario Ramón y Cajal, Red Española de Esclerosis Múltiple (REEM), Red de Enfermedades Inflamatorias (REI), IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
| | - Luisa M Villar
- Department of Immunology, Hospital Universitario Ramón y Cajal, REEM, REI, IRYCIS, Universidad de Alcalá, 28034 Madrid, Spain
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17
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Seebacher B, Mildner S, Monschein T, Schillerwein-Kral C, Bsteh G, Fasching B, Voggenberger L, Ziai J, Mills RJ, Horton MC, Brenneis C, Berger T, Leutmezer F, Seidel S. German translation, cultural adaptation for Austria, and validation of the Neurological Sleep Index-Multiple Sclerosis. J Clin Sleep Med 2024; 20:1923-1935. [PMID: 39132686 PMCID: PMC11609830 DOI: 10.5664/jcsm.11286] [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: 05/01/2024] [Revised: 07/11/2024] [Accepted: 07/12/2024] [Indexed: 08/13/2024]
Abstract
STUDY OBJECTIVES To translate, culturally adapt, and validate the Neurological Sleep Index-Multiple Sclerosis (NSI-MS) for use in Austrian German-speaking populations with multiple sclerosis. METHODS Following established guidelines, the NSI-MS diurnal sleepiness, nonrestorative nocturnal sleep, and fragmented nocturnal sleep scales underwent forward-backward translation, with content and face validity, and cultural adaptation to Austria established. Construct validity was evaluated using Rasch analysis. Known-groups validity was examined, and comparisons were made with scales measuring multiple sclerosis fatigue, daytime sleepiness, sleep quality, anxiety, and depression. Reliability was assessed through Cronbach's alpha, Person Separation Index, Lin's concordance correlation coefficient, measurement error, and floor and ceiling effects. Data were merged with a historic English dataset for comparison between English and German language versions. RESULTS The translation and cultural adaptation of the NSI-MS-German version were successful. Pretesting involved 30 populations with multiple sclerosis, while the validation included 400 populations with multiple sclerosis with mild-to-severe disability. The diurnal sleepiness, nonrestorative nocturnal sleep, and fragmented nocturnal sleep scales exhibited good fit parameters, were unidimensional, and invariant. NSI-MS-German version scales demonstrated excellent convergent and known-groups validity, internal consistency, person separation reliability, test-retest reliability, adequate measurement error, and low floor and ceiling effects. Pooling English and German datasets revealed that person estimates for the nonrestorative nocturnal sleep and fragmented nocturnal sleep scales are equivalent across versions, unlike the diurnal sleepiness scale. CONCLUSIONS The NSI-MS-German version demonstrates validity, reliability, and responsiveness in assessing diurnal sleepiness, nonrestorative nocturnal sleep, and fragmented nocturnal sleep in populations with multiple sclerosis, generating interval-level data, and shows equivalence between its English and German versions. CLINICAL TRIAL REGISTRATION Registry: German Clinical Trials Register (DRKS); Name: German translation, cultural adaptation for Austria and validation of the Neurological Sleep Index - Multiple Sclerosis (NSI-MS); URL: https://drks.de/search/en/trial/DRKS00025573; Identifier: DRKS00025573. CITATION Seebacher B, Mildner S, Monschein T, et al. German translation, cultural adaptation for Austria, and validation of the Neurological Sleep Index-Multiple Sclerosis. J Clin Sleep Med. 2024;20(12):1923-1935.
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Affiliation(s)
- Barbara Seebacher
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Department of Rehabilitation Science, Clinic for Rehabilitation Muenster, Muenster, Austria
- Karl Landsteiner Institute for Interdisciplinary Rehabilitation Research, Muenster, Austria
| | - Sarah Mildner
- Department of Rehabilitation Science, Clinic for Rehabilitation Muenster, Muenster, Austria
| | - Tobias Monschein
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Cornelia Schillerwein-Kral
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Bernhard Fasching
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Lisa Voggenberger
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Jawed Ziai
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Roger J. Mills
- Department of Neurology, Walton Centre NHS Foundation Trust, Liverpool, United Kingdom
| | - Mike C. Horton
- Psychometric Laboratory for Health Sciences, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom
| | - Christian Brenneis
- Karl Landsteiner Institute for Interdisciplinary Rehabilitation Research, Muenster, Austria
- Department of Neurology, Clinic for Rehabilitation Muenster, Muenster, Austria
| | - Thomas Berger
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Fritz Leutmezer
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Stefan Seidel
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
- Rehabilitation Clinic Pirawarth, Bad Pirawarth, Austria
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18
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Negreiros AALVD, Gois LCDP, Sá MMSD, Vieira GDD, Pimentel-Silva LR, Damasceno A. Patterns of cognitive decline across different multiple sclerosis clinical courses. Mult Scler Relat Disord 2024; 92:106172. [PMID: 39571219 DOI: 10.1016/j.msard.2024.106172] [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: 05/15/2024] [Revised: 10/08/2024] [Accepted: 11/09/2024] [Indexed: 12/17/2024]
Abstract
BACKGROUND It is still unclear whether patients with progressive MS (PMS) present a distinct pattern of cognitive impairment (CI) and different trajectories of cognitive and clinical decline compared to patients with relapsing-remitting MS (RRMS) with similar age. In addition, the role of reserve (cognitive and cerebral) in cognitive decline in the different forms of MS is not fully understood, and some studies suggest that its effects reduce in the progressive forms. OBJECTIVE To assess the trajectories of cognitive decline in RRMS and PMS patients with similar age, also evaluating the predictive power of baseline clinical and MRI features on cognitive outcomes at follow-up. METHODS Fifty-four patients were enrolled (30 PMS, 24 RRMS) and underwent brain MRI (3T - FreeSurfer and Spinal Cord Toolbox), clinical examination (Expanded Disability Status Scale - EDSS; Timed 25-Foot Walk Test - T25FW; and the Nine Hole Peg Test - 9HPT) and neuropsychological evaluation (Brief Repeatable Battery of Neuropsychological Tests - BRBN, Tower of London (TOL) test and Boston Naming Test at baseline (time 1) and after 4 years (time 2). We also evaluated cognitive and brain reserve. We defined CI as the presence of impairment in >1 domain. RESULTS At baseline (time 1), 37.2 % of the individuals presented CI and 52.4 % at time 2, which was more frequent in the PMS group. There was also a higher frequency of impairment in the visual memory and Information Processing Speed (IPS) cognitive domains in the PMS group in both study times. However, there were no major statistical differences between RMS/PMS groups in the evolution of clinical, cognitive and neuroimaging variables after 4 years of follow-up, except for a worse verbal memory decline (p = 0.040) and corpus callosum atrophy (p = 0.014) in PMS group. For EDSS worsening, the best predictive factor was the spinal cord area (β = -0.428), and for T25FW, the striatum volume (β = -0.467). For cognitive deterioration, striatum volume and cortical thickness were the best predictors. We found a protective effect of cognitive reserve on the decline of the domains of planning (β = 0.601) and IPS (β = 0.482) for the overall sample and the PMS group (β = 0.498 and β = 0.468, respectively). CONCLUSIONS We found cognitive deterioration after four years of follow-up in RRMS and PMS groups. Nevertheless, there were no major differences between these groups (with similar age, education and disease duration) in the trajectories of clinical, cognitive and neuroimaging variables during this 4-year period. We observed a protective effect of cognitive reserve in the overall sample and the PMS group.
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Affiliation(s)
- André Augusto Lemos Vidal de Negreiros
- Department of Neurology, Rua Tessalia Vieira de Camargo, Universidade Estadual de Campinas (UNICAMP), 126, Cidade Universitária Zeferino Vaz, Campinas 13083-970, Brazil.
| | - Larissa Carla de Paula Gois
- Department of Neurology, Rua Tessalia Vieira de Camargo, Universidade Estadual de Campinas (UNICAMP), 126, Cidade Universitária Zeferino Vaz, Campinas 13083-970, Brazil
| | - Mariana Moreira Soares de Sá
- Department of Neurology, Rua Tessalia Vieira de Camargo, Universidade Estadual de Campinas (UNICAMP), 126, Cidade Universitária Zeferino Vaz, Campinas 13083-970, Brazil
| | - Gabriel de Deus Vieira
- Department of Neurology, Rua Tessalia Vieira de Camargo, Universidade Estadual de Campinas (UNICAMP), 126, Cidade Universitária Zeferino Vaz, Campinas 13083-970, Brazil
| | - Luciana Ramalho Pimentel-Silva
- Department of Neurology, Rua Tessalia Vieira de Camargo, Universidade Estadual de Campinas (UNICAMP), 126, Cidade Universitária Zeferino Vaz, Campinas 13083-970, Brazil
| | - Alfredo Damasceno
- Department of Neurology, Rua Tessalia Vieira de Camargo, Universidade Estadual de Campinas (UNICAMP), 126, Cidade Universitária Zeferino Vaz, Campinas 13083-970, Brazil
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Pontieri L, Greene N, Wandall-Holm MF, Geertsen SS, Asgari N, Jensen HB, Illes Z, Schäfer J, Jensen RM, Sejbæk T, Weglewski A, Mahler MR, Poulsen MB, Prakash S, Stilund M, Kant M, Rasmussen PV, Svendsen KB, Sellebjerg F, Magyari M. Patterns and predictors of multiple sclerosis phenotype transition. Brain Commun 2024; 6:fcae422. [PMID: 39713244 PMCID: PMC11660925 DOI: 10.1093/braincomms/fcae422] [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: 06/27/2024] [Revised: 10/23/2024] [Indexed: 12/24/2024] Open
Abstract
Currently, there are limited therapeutic options for patients with non-active secondary progressive multiple sclerosis. Therefore, real-world studies have investigated differences between patients with relapsing-remitting multiple sclerosis, non-active secondary progressive multiple sclerosis and active secondary progressive multiple sclerosis. Here, we explore patterns and predictors of transitioning between these phenotypes. We performed a cohort study using data from The Danish Multiple Sclerosis Registry. We included patients with a relapsing-remitting phenotype, registered changes to secondary progressive multiple sclerosis and subsequent transitions between relapsing and non-relapsing secondary progressive multiple sclerosis, which was defined by the presence of relapses in the previous 2 years. We analysed predictors of transitioning from relapsing-remitting multiple sclerosis to relapsing and non-relapsing secondary progressive multiple sclerosis, as well as between the secondary progressive states using a multi-state Markov model. We included 4413 patients with relapsing-remitting multiple sclerosis. Within a median follow-up of 16.2 years, 962 were diagnosed with secondary progressive multiple sclerosis by their treating physician. Of these, we classified 729 as non-relapsing and 233 as relapsing secondary progressive multiple sclerosis. The risk of transitioning from relapsing-remitting to non-relapsing secondary progressive multiple sclerosis included older age (hazard ratio per increase of 1 year in age: 1.044, 95% confidence interval: 1.035-1.053), male sex (hazard ratio for female: 0.735, 95% confidence interval: 0.619-0.874), fewer relapses (hazard ratio per each additional relapse: 0.863, 95% confidence interval: 0.823-0.906), higher expanded disability status scale (hazard ratio per each additional point: 1.522, 95% confidence interval: 1.458-1.590) and longer time on disease-modifying therapies (hazard ratio per increase of 1 year in treatment, high-efficacy disease-modifying therapy: 1.095, 95% confidence interval: 1.051-1.141; hazard ratio, moderate-efficacy disease-modifying therapy: 1.073, 95% confidence interval: 1.051-1.095). We did not find significant predictors associated with the transition from relapsing secondary progressive multiple sclerosis to non-relapsing secondary progressive multiple sclerosis, whereas older age (hazard ratio per increase of 1 year in age: 0.956, 95% confidence interval: 0.942-0.971) prevented the transition from non-relapsing secondary progressive multiple sclerosis to relapsing secondary progressive multiple sclerosis. Our study suggests that transitioning from relapsing-remitting multiple sclerosis to non-relapsing secondary progressive multiple sclerosis depends on well-known factors affecting diagnosing secondary progressive multiple sclerosis. Further transitions between non-relapsing and relapsing secondary progressive multiple sclerosis are only affected by age. These findings add to the knowledge of non-active secondary progressive multiple sclerosis, a patient group with unmet needs in terms of therapies.
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Affiliation(s)
- Luigi Pontieri
- The Danish Multiple Sclerosis Registry, Department of Neurology, Copenhagen University Hospital—Rigshospitalet Glostrup, 2600 Glostrup, Denmark
| | | | - Malthe Faurschou Wandall-Holm
- The Danish Multiple Sclerosis Registry, Department of Neurology, Copenhagen University Hospital—Rigshospitalet Glostrup, 2600 Glostrup, Denmark
| | | | - Nasrin Asgari
- Department of Neurology, Naestved, Slagelse and Ringsted Hospitals, 4200 Slagelse, Denmark
- Department of Regional Health Research, University of Southern Denmark, 5000 Odense, Denmark
- Department of Molecular Medicine, University of Southern Denmark, 5000 Odense, Denmark
| | - Henrik Boye Jensen
- Department of Regional Health Research, University of Southern Denmark, 5000 Odense, Denmark
- Department of Brain and Nerve Diseases, Lillebælt Hospital, 6000 Kolding, Denmark
| | - Zsolt Illes
- Department of Neurology, Odense University Hospital, 5000 Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark
| | - Jakob Schäfer
- Department of Neurology, Aalborg University Hospital, 9100 Aalborg, Denmark
| | - Rikke Marie Jensen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital—Rigshospitalet Glostrup, 2600 Glostrup, Denmark
| | - Tobias Sejbæk
- Department of Regional Health Research, University of Southern Denmark, 5000 Odense, Denmark
- Department of Neurology, Southwest Jutland Hospital, University Hospital of Southern Denmark, 6700 Esbjerg, Denmark
| | - Arkadiusz Weglewski
- Department of Neurology, Herlev and Gentofte Hospital, 2730 Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Mie Reith Mahler
- The Danish Multiple Sclerosis Registry, Department of Neurology, Copenhagen University Hospital—Rigshospitalet Glostrup, 2600 Glostrup, Denmark
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital—Rigshospitalet Glostrup, 2600 Glostrup, Denmark
| | - Mai Bang Poulsen
- Department of Neurology, Copenhagen University Hospital—North Zealand, 3400 Hillerød, Denmark
| | - Sivagini Prakash
- Department of Neurology, Viborg Regional Hospital, 8800 Viborg, Denmark
| | - Morten Stilund
- Department of Neurology, Physiotherapy and Occupational Therapy, Gødstrup Hospital, 7400 Herning, Denmark
- NIDO | Centre for Research and Education, Gødstrup Hospital, 7400 Herning, Denmark
| | - Matthias Kant
- Department of Neurology, Southern Jutland Hospital, University of Southern Denmark, 6200 Aabenraa, Denmark
| | | | | | - Finn Sellebjerg
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital—Rigshospitalet Glostrup, 2600 Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Melinda Magyari
- The Danish Multiple Sclerosis Registry, Department of Neurology, Copenhagen University Hospital—Rigshospitalet Glostrup, 2600 Glostrup, Denmark
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital—Rigshospitalet Glostrup, 2600 Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
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20
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Rezaee M, Ravangard R, Mojtabaeian SM, Jafari A. Cost-effectiveness of oral versus injectable disease modifying therapies in relapsing multiple sclerosis: a systematic review analysis. BMC Health Serv Res 2024; 24:1288. [PMID: 39468560 PMCID: PMC11514832 DOI: 10.1186/s12913-024-11800-8] [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: 10/21/2023] [Accepted: 10/21/2024] [Indexed: 10/30/2024] Open
Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic and progressive neurological autoimmune disease that affects the central nervous system. There are two types of drugs used to treat this disease: injectable and oral drugs. The present study aimed at systematically reviewing the cost effectiveness of oral versus injectable drugs. METHODS The researchers searched the PubMed, Scopus, and Web of Science databases to find relevant studies. After removing the duplicates, two authors independently assessed the records. The studies that had conducted full economic evaluations of oral versus injectable drugs in MS patients were included. The Quality of Health Economic Studies (QHES) tool was also used to assess the quality of the studies. RESULTS Thirty studies that had conducted the economic analysis of oral versus injectable therapies in MS patients were included in this review. The QHES scores for all records were generally high (≥ 77) and they were of good quality. The lowest and highest levels of incremental net monetary benefit were respectively obtained through the comparison of Fingolimod and Alemtuzumab (-1,419,333) and the comparison of Teriflunomide and Interferon β-1a (1,792,810). The amount of INMB (incremental net monetary benefit) in the comparisons between oral and injectable drugs showed that the highest and lowest amount of INMB calculated between) Fingolimod and injectable drugs, respectively, compared to (interferon β-1a) 98,253 and (Ocrelizumab) -212,417, the highest amount in dimethyl fumarate is also against (peginterferon β-1a) 191,470 and the lowest against (alemtuzumab) -124,333, Teriflunomide against injectable drugs is the highest against (peginterferon β-1a) 89,956 and the lowest (Ocrelizumab) - 194,169, as well as Cladribine compared to injectable drugs, the highest was compared to (interferon β-1a) 236,430 and the lowest (Ocrelizumab) was 23,965. CONCLUSION A large number of health economic evaluations of disease-modifying therapies (DMTs) in MS were available at the international level, the comparison of which was difficult and sometimes contradictory. However, despite the difference in the results, Cladribine tablets were cost-effective in all studies compared with injectable drugs. In addition, the present study could be of great importance for policymakers and other beneficiaries regarding the cost-effectiveness of the aforementioned drugs.
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Affiliation(s)
- Mehdi Rezaee
- Student Research Committee, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
- Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Ramin Ravangard
- Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Health Services Management, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Seyyed Morteza Mojtabaeian
- Student Research Committee, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Abdosaleh Jafari
- Health Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
- Department of Health Services Management, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
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21
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Simone M, Lucisano G, Guerra T, Paolicelli D, Rocca MA, Brescia Morra V, Patti F, Annovazzi P, Gasperini C, De Luca G, Ferraro D, Margari L, Granella F, Pozzilli C, Romano S, Perini P, Bergamaschi R, Coniglio MG, Lus G, Vianello M, Lugaresi A, Portaccio E, Filippi M, Amato MP, Iaffaldano P. Disability trajectories by progression independent of relapse activity status differ in pediatric, adult and late-onset multiple sclerosis. J Neurol 2024; 271:6782-6790. [PMID: 39179712 PMCID: PMC11447039 DOI: 10.1007/s00415-024-12638-0] [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: 04/24/2024] [Revised: 08/10/2024] [Accepted: 08/13/2024] [Indexed: 08/26/2024]
Abstract
BACKGROUND To compare Expanded Disability Status Scale (EDSS) trajectories over time between Multiple Sclerosis (MS) groups with pediatric (POMS), adult (AOMS) and late (LOMS) onset, and between patients with and without progression independent of relapse activity (PIRA). METHODS Patients with a first visit within 1 year from onset, ≥ 5-year follow-up and ≥ 1 visit every 6 months were selected from the Italian MS Register. Adjusted disability trajectories were assessed by longitudinal models for repeated measures. Comparisons between groups and between patients with and without PIRA in subgroups were performed by evaluating the yearly differences of mean EDSS score changes versus baseline (delta-EDSS). A first CDA event was defined as a 6-months confirmed disability increase from study baseline, measured by EDSS (increase ≥ 1.5 points with baseline EDSS = 0; ≥ 1.0 with baseline EDSS score ≤ 5.0 and ≥ 0.5 point with baseline EDSS > 5.5). PIRA was defined as a CDA event occurring more than 90 days after and more than 30 days before the onset of a relapse. RESULTS 3777 MS patients (268 POMS, 3282 AOMS, 227 LOMS) were included. The slope of disability trajectories significantly diverged in AOMS vs POMS starting from the second year of follow-up (Year 2: delta2-EDSS 0.18 (0.05; 0.31), p = 0.0054) and then mean delta2-EDSS gradually increased up to 0.23 (0.07; 0.39, p = 0.004) at year 5. Patients with PIRA had significant (p < 0.0001) steeper increase in EDSS scores than those without PIRA in all groups, although in POMS, the disability trajectories began to diverge later and at a lesser extent with delta-EDSS score of 0.48 vs 0.83 in AOMS and 1.57 in LOMS, at 3 years after the first PIRA. CONCLUSIONS Age is relevant in determining disability progression in MS. POMS shows a less steep increase in EDSS scores over time than older patients. The effect of PIRA in accelerating EDSS progression is less pronounced in POMS than in AOMS and LOMS.
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Affiliation(s)
- Marta Simone
- Child Neuropsychiatry Unit, Department of Precision and Regenerative Medicine, Jonic Area University of Bari "Aldo Moro", Bari, Italy
| | - Giuseppe Lucisano
- CORESEARCH, Pescara, Italy
- Department of Translational Biomedicine and Neurosciences-DiBraiN, University "Aldo Moro" Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Tommaso Guerra
- Department of Translational Biomedicine and Neurosciences-DiBraiN, University "Aldo Moro" Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Damiano Paolicelli
- Department of Translational Biomedicine and Neurosciences-DiBraiN, University "Aldo Moro" Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Maria A Rocca
- Dipartimento di Neurologia, Neurofisiologia e Neuroriabilitazione, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Vincenzo Brescia Morra
- Department of Neuroscience (NSRO), Multiple Sclerosis Clinical Care and Research Center, Federico II University, Naples, Italy
| | - Francesco Patti
- Dipartimento di Scienze Mediche e Chirurgiche e Tecnologie Avanzate, GF Ingrassia, Sez. Neuroscienze, Centro Sclerosi Multipla, Università di Catania, Catania, Italy
| | - Pietro Annovazzi
- Neuroimmunology Unit - Multiple Sclerosis Centre ASST Valle Olona, Gallarate Hospital, Gallarate, Italy
| | - Claudio Gasperini
- Department of Neurosciences, S.Camillo Forlanini Hospital, Rome, Italy
| | - Giovanna De Luca
- Centro Sclerosi Multipla, Clinica Neurologica, Policlinico SS. Annunziata, Chieti, Italy
| | - Diana Ferraro
- Azienda Ospedaliera Universitaria di Modena/OCB, UO Neurologia, Milano, Italy
| | - Lucia Margari
- Child Neuropsychiatry Unit, Department of Precision and Regenerative Medicine, Jonic Area University of Bari "Aldo Moro", Bari, Italy
| | - Franco Granella
- Unit of Neurosciences, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Carlo Pozzilli
- Department of Human Neuroscience, Multiple Sclerosis Center, S. Andrea Hospital, Rome, Italy
| | - Silvia Romano
- Department of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS), Sapienza University of Rome, Rome, Italy
| | - Paola Perini
- Department of Neurosciences, Multiple Sclerosis Centre-Veneto Region (CeSMuV), University Hospital of Padua, Padua, Italy
| | | | | | - Giacomo Lus
- Multiple Sclerosis Center, II Division of Neurology, Department of Clinical and Experimental Medicine, Second University of Naples, Naples, Italy
| | | | - Alessandra Lugaresi
- IRCCS Istituto Scienze Neurologiche di Bologna, Bologna, Italy
- Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
| | | | - Massimo Filippi
- Dipartimento di Neurologia, Neurofisiologia e Neuroriabilitazione, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Maria Pia Amato
- Department NEUROFARBA, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Pietro Iaffaldano
- Department of Translational Biomedicine and Neurosciences-DiBraiN, University "Aldo Moro" Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy.
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22
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Correia I, Bernardes C, Cunha C, Nunes C, Macário C, Sousa L, Batista S. Picturing the Multiple Sclerosis Patient Journey: A Symptomatic Overview. J Clin Med 2024; 13:5687. [PMID: 39407747 PMCID: PMC11476823 DOI: 10.3390/jcm13195687] [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: 08/26/2024] [Revised: 09/20/2024] [Accepted: 09/23/2024] [Indexed: 10/20/2024] Open
Abstract
Background: Multiple sclerosis (MS) presents a wide range of clinical symptoms, historically understood through long-term studies of earlier patient cohorts. However, due to improved diagnostic criteria, modern patients are diagnosed earlier and benefit from effective treatments, altering the disease's natural history. This study aimed to assess the clinical symptoms of MS patients in a modern population at various stages: before diagnosis, at diagnosis, during the disease course, and at the time of the survey. Methods: This was an observational study with retrospective and cross-sectional components; patients that fulfilled the 2017 revised McDonald criteria for MS completed a survey evaluating demographic and clinical data. Results: We included 163 patients, 69.9% female, with a mean age of 48.21 years; 87.1% had relapsing-remitting MS (RRMS), with a median EDSS of 2.0. Before diagnosis, 74.2% of patients experienced symptoms, mainly sensory issues (39.3%), fatigue (29.4%), and imbalance (27%). Motor and coordination symptoms were more common in progressive forms. At diagnosis, sensory (46.6%) and motor complaints (36.8%) were most prevalent. In RRMS and secondary progressive MS (SPMS), sensory and motor complaints predominated alongside imbalance, while primary progressive MS (PPMS) was characterized by motor, imbalance, and genitourinary symptoms. Throughout the disease, sensory symptoms were most common (76.1%), with fatigue (73%) and motor issues (62.6%) more prevalent in progressive forms. At the time of the survey, 50.7% of RRMS patients were asymptomatic, while progressive patients continued to experience motor symptoms, imbalance, and fatigue. Conclusions: The study reflects the modern spectrum of MS symptoms, consistent with previous research.
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Affiliation(s)
- Inês Correia
- Neurology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugalúde.pt (C.N.)
- Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Catarina Bernardes
- Neurology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugalúde.pt (C.N.)
| | - Carolina Cunha
- Neurology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugalúde.pt (C.N.)
| | - Carla Nunes
- Neurology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugalúde.pt (C.N.)
| | - Carmo Macário
- Neurology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugalúde.pt (C.N.)
- Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Lívia Sousa
- Neurology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugalúde.pt (C.N.)
| | - Sónia Batista
- Neurology Department, Hospitais da Universidade de Coimbra, Unidade Local de Saúde de Coimbra, 3004-561 Coimbra, Portugalúde.pt (C.N.)
- Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
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23
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Portaccio E, Magyari M, Havrdova EK, Ruet A, Brochet B, Scalfari A, Di Filippo M, Tur C, Montalban X, Amato MP. Multiple sclerosis: emerging epidemiological trends and redefining the clinical course. THE LANCET REGIONAL HEALTH. EUROPE 2024; 44:100977. [PMID: 39444703 PMCID: PMC11496978 DOI: 10.1016/j.lanepe.2024.100977] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 06/06/2024] [Accepted: 06/10/2024] [Indexed: 10/25/2024]
Abstract
Multiple sclerosis is a chronic, inflammatory, and neurodegenerative disease of the central nervous system and a major cause of neurological disability in young adults. Its prevalence and incidence are increasing, and it has been estimated at over 2.8 million cases worldwide, in addition to recent trends towards a shift in MS prevalence to older ages, with peak prevalence estimates in the sixth decade of life. Although historically the relapsing and progressive phases of the disease have been considered separate clinical entities, recent evidence of progression independent of relapse activity (PIRA) has led to a reconsideration of multiple sclerosis as a continuum, in which relapsing and progressive features variably coexist from the earliest stages of the disease, challenging the traditional view of the disease course. In this Series article, we provide an overview of how the traditional description of the clinical course of MS and epidemiological trends in Europe have evolved. For this purpose, we focus on the concept of PIRA, discussing its potential as the main mechanism by which patients acquire disability, how its definition varies between studies, and ongoing research in this field. We emphasise the importance of incorporating the assessment of hidden clinical manifestations into patient management to help uncover and quantify the PIRA phenomenon and the possible implications for future changes in the clinical classification of the disease. At the same time, we provide insights into overcoming the challenges of identifying and defining PIRA and adopting a new understanding of the clinical course of MS.
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Affiliation(s)
- Emilio Portaccio
- Department of NEUROFARBA, Unviersity of Florence, Florence, Italy
| | - Melinda Magyari
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital-Rigshospitalet, Glostrup, Denmark
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Aurelie Ruet
- Magendie, INSERM U 1215, Université de Bordeaux, 30776, Bordeaux Cedex, France
- Service de Neurologie et Maladies Inflammatoires du Système Nerveux Central, Centre de Ressources et Compétences Sclérose en plaques CHU de Bordeaux, 33076, Bordeaux Cedex, France
| | - Bruno Brochet
- Magendie, INSERM U 1215, Université de Bordeaux, 30776, Bordeaux Cedex, France
| | - Antonio Scalfari
- Centre of Neuroscience, Department of Medicine, Imperial College London, London, UK
| | | | - Carmen Tur
- Multiple Sclerosis Centre of Catalonia, Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Xavier Montalban
- Multiple Sclerosis Centre of Catalonia, Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Maria Pia Amato
- Department of NEUROFARBA, Unviersity of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
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24
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Nadeem ZA, Ashraf H, Nadeem A, Kareem R, Ashfaq H, Majid Z, Ashraf A. Trends in mortality due to multiple sclerosis in the United States: A retrospective analysis from 1999 to 2020. Mult Scler Relat Disord 2024; 89:105765. [PMID: 39029341 DOI: 10.1016/j.msard.2024.105765] [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: 01/30/2024] [Revised: 04/30/2024] [Accepted: 07/07/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Multiple sclerosis (MS) is a neuroinflammatory condition with a prevalence of about 309.2 per 100,000 people in the United States. We aim to identify MS-related mortality trends in the USA from 1999 to 2020, stratified by age, sex, race, and geography, and its correlation with sunlight. METHODS Death certificates from the CDC-WONDER database were examined for adults aged ≥25 years. Crude rates (CR) and age-adjusted mortality rates (AAMRs) per 1,000,000 persons and annual percent change (APC) were calculated. We also retrieved data for daily sunlight from 1999 to 2011. RESULTS From 1999 to 2020, a total of 121,694 deaths occurred due to MS. The AAMR rose from 23.6 in 1999 to 29.7 in 2020 (APC 0.65), with a stable trend till 2018 (APC -0.22) followed by an abrupt increase towards 2020 (APC 9.27). Women had higher AAMR than men. Non-Hispanic (NH) Whites exhibited the highest AAMR (28.5), followed by NH Blacks (25.9), NH American Indians/Alaska Natives (9.6), Hispanics or Latino (6.8), and NH Asian or Pacific Islanders (1.9). AAMRs also varied substantially by region (Midwest: 32.4; Northeast: 26.9; West: 26.2; South: 19.4). States with the highest AAMRs were Montana, Wyoming, Colorado, and Oregon. The states with lower daily sunlight had higher AAMRs (r = -0.559, p = 0.000). AAMRs were comparable in urban (25) and rural (26.3) areas. Most deaths occurred in medical facilities (33.92 %) and nursing homes / long-term care (30.80 %), followed by home (27.79 %), and hospice (4.06 %). Adults ≥ 65 years depicted the highest mortality rates (CR 64.4) while adults aged 25 to 44 years showed the lowest rates (CR 4.6). CONCLUSION We found an overall stable trend in MS-related mortality rates in the US till 2018 with a sharp increase thereafter. We observed highest mortality among women and NH White adults, among residents of Midwest and Northeast regions, and among adults ≥ 65 years. Higher disease burden in recent years calls for devising timely policies focused on these high-risk populations.
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Affiliation(s)
- Zain Ali Nadeem
- Department of Medicine, Allama Iqbal Medical College, Pakistan
| | - Hamza Ashraf
- Department of Cardiology, Allama Iqbal Medical College, Pakistan
| | - Aimen Nadeem
- Department of Medicine, King Edward Medical University, Pakistan
| | - Rutaab Kareem
- Department of Medicine, King Edward Medical University, Pakistan
| | - Haider Ashfaq
- Department of Medicine, Allama Iqbal Medical College, Pakistan
| | - Zuha Majid
- Department of Medicine, King Edward Medical University, Pakistan
| | - Ali Ashraf
- Government College University, Lahore, Pakistan
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25
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Gross RH, Corboy J. De-escalation and Discontinuation of Disease-Modifying Therapies in Multiple Sclerosis. Curr Neurol Neurosci Rep 2024; 24:341-353. [PMID: 38995483 DOI: 10.1007/s11910-024-01355-w] [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] [Accepted: 06/19/2024] [Indexed: 07/13/2024]
Abstract
PURPOSE OF REVIEW Long-term use of multiple sclerosis (MS) disease-modifying therapies (DMTs) is standard practice to prevent accumulation of disability. Immunosenescence and other age-related changes lead to an altered risk-benefit ratio for older patients on DMTs. This article reviews recent research on the topic of de-escalation and discontinuation of MS DMTs. RECENT FINDINGS Observational and interventional studies have shed light on what happens to patients who de-escalate or discontinue DMTs and the factors, such as age, treatment type, and presence of recent disease activity, that influence outcomes. Though many questions remain, recent findings have been valuable for the development of an evidence-based approach to making de-escalation and discontinuation decisions in MS.
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Affiliation(s)
- Robert H Gross
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17thAvenue, Mail Stop F727, Aurora, CO, 80045, USA.
- Department of Neurology, Rocky Mountain Regional Veterans Administration Medical Center, Aurora, CO, USA.
| | - John Corboy
- Department of Neurology, University of Colorado School of Medicine, 12631 East 17thAvenue, Mail Stop F727, Aurora, CO, 80045, USA
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26
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Rocca MA, Preziosa P, Barkhof F, Brownlee W, Calabrese M, De Stefano N, Granziera C, Ropele S, Toosy AT, Vidal-Jordana À, Di Filippo M, Filippi M. Current and future role of MRI in the diagnosis and prognosis of multiple sclerosis. THE LANCET REGIONAL HEALTH. EUROPE 2024; 44:100978. [PMID: 39444702 PMCID: PMC11496980 DOI: 10.1016/j.lanepe.2024.100978] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 04/22/2024] [Accepted: 06/10/2024] [Indexed: 10/25/2024]
Abstract
In the majority of cases, multiple sclerosis (MS) is characterized by reversible episodes of neurological dysfunction, often followed by irreversible clinical disability. Accurate diagnostic criteria and prognostic markers are critical to enable early diagnosis and correctly identify patients with MS at increased risk of disease progression. The 2017 McDonald diagnostic criteria, which include magnetic resonance imaging (MRI) as a fundamental paraclinical tool, show high sensitivity and accuracy for the diagnosis of MS allowing early diagnosis and treatment. However, their inappropriate application, especially in the context of atypical clinical presentations, may increase the risk of misdiagnosis. To further improve the diagnostic process, novel imaging markers are emerging, but rigorous validation and standardization is still needed before they can be incorporated into clinical practice. This Series article discusses the current role of MRI in the diagnosis and prognosis of MS, while examining promising MRI markers, which could serve as reliable predictors of subsequent disease progression, helping to optimize the management of individual patients with MS. We also explore the potential of new technologies, such as artificial intelligence and automated quantification tools, to support clinicians in the management of patients. Yet, to ensure consistency and improvement in the use of MRI in MS diagnosis and patient follow-up, it is essential that standardized brain and spinal cord MRI protocols are applied, and that interpretation of results is performed by qualified (neuro)radiologists in all countries.
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Affiliation(s)
- Maria A. Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Wallace Brownlee
- Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Massimiliano Calabrese
- The Multiple Sclerosis Center of University Hospital of Verona, Department of Neurosciences and Biomedicine and Movement, Verona, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Cristina Granziera
- Department of Neurology, University Hospital Basel and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ahmed T. Toosy
- Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Àngela Vidal-Jordana
- Servicio de Neurología, Centro de Esclerosis Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Massimiliano Di Filippo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, 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
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
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27
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Candiri B, Ramazanoglu E, Talu B, Tecellioglu M. The relationship between cognitive function and functional capacity, and cognitive reserve and reaction time in patients with multiple sclerosis. ARQUIVOS DE NEURO-PSIQUIATRIA 2024; 82:1-9. [PMID: 39187267 DOI: 10.1055/s-0044-1788273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/28/2024]
Abstract
BACKGROUND Cognitive dysfunction is frequently seen in multiple sclerosis (MS). However, there are conflicting findings regarding the factors it is associated with. OBJECTIVE To investigate the relationship between aerobic capacity, strength, disability, depression, fatigue, and cognitive reserve and function. METHODS The mobile applications Trail Making Test (TMT A-B), Digit Span Test (DST), Visuospatial Memory Test (VSMT), and Tap Fast were used in the cognitive function evaluation. Functional performance was assessed with the 6-minute walk test (6MWT), 5-Time Sit-to-Sand (5STS) test, and grip strength. Cognitive Reserve Index (CRI), Beck Depression Inventory, Fatigue Severity Scale (FSS), and Nottingham Health Profile were also used. RESULTS A significant difference was found between the MS and control groups only in the 6MWT, STS-5, grip strength, TMT, VSMT, and Tap Fast. Good correlation was found between the TMT-A and 6MWT and physical mobility. A fair correlation was shown between grip strength, energy, and pain status. A good correlation was found between TMT-B and 6MWT, and a fair relationship with disability, cognitive reserve, and pain. Good correlation was observed between the DST and 6MWT, left grip strength, pain, and energy status; fair correlations were found between right grip strength, cognitive reserve, and physical mobility. Good correlation was found between the VSMT and energy. A fair relationship between disability, cognitive reserve, and pain was demonstrated. Good correlation was observed between the Tap Fast score and disability, 5STS, FSS, energy, and physical mobility. A fair relationship was found between pain and social isolation. CONCLUSION It has been shown that cognitive performance in MS is related to disability, functional performance, cognitive reserve, fatigue, and general health. TRIAL REGISTRATION NCT06084182.
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Affiliation(s)
- Busra Candiri
- Inonu University, Faculty of Health Sciences, Physiotherapy and Rehabilitation Department, Malatya, Türkiye
| | - Engin Ramazanoglu
- Inonu University, Faculty of Health Sciences, Physiotherapy and Rehabilitation Department, Malatya, Türkiye
| | - Burcu Talu
- Inonu University, Faculty of Health Sciences, Physiotherapy and Rehabilitation Department, Malatya, Türkiye
| | - Mehmet Tecellioglu
- Inonu University, Faculty of Medicine, Neurology Department, Malatya, Türkiye
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28
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Neațu M, Hera-Drăguț A, Ioniță I, Jugurt A, Davidescu EI, Popescu BO. Understanding the Complex Dynamics of Immunosenescence in Multiple Sclerosis: From Pathogenesis to Treatment. Biomedicines 2024; 12:1890. [PMID: 39200354 PMCID: PMC11351992 DOI: 10.3390/biomedicines12081890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 08/13/2024] [Accepted: 08/16/2024] [Indexed: 09/02/2024] Open
Abstract
Immunosenescence, the gradual deterioration of immune function with age, holds profound implications for our understanding and management of multiple sclerosis (MS), a chronic autoimmune disease affecting the central nervous system. Traditionally diagnosed in young adults, advancements in disease-modifying therapies and increased life expectancy have led to a growing number of older individuals with MS. This demographic shift underscores the need for a deeper investigation into how age-related alterations in immune function shape the course of MS, influencing disease progression, treatment effectiveness, and overall patient outcomes. Age-related immunosenescence involves changes such as shifts in cytokine profiles, the accumulation of senescent immune cells, and compromised immune surveillance, collectively contributing to a state known as "inflammaging". In the context of MS, these immunological changes disturb the intricate balance between inflammatory and regulatory responses, thereby impacting mechanisms of central immune tolerance and peripheral regulation. This paper stands out by combining the most recent advancements in immunosenescence with both pathophysiological and treatment perspectives on multiple sclerosis, offering a cohesive and accessible discussion that bridges theory and practice, while also introducing novel insights into underexplored concepts such as therapy discontinuation and the latest senolytic, neuroprotective, and remyelination therapies. Enhancing our understanding of these complexities will guide tailored approaches to MS management, ultimately improving clinical outcomes for affected individuals.
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Affiliation(s)
- Monica Neațu
- Department of Clinical Neurosciences, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (M.N.); (A.H.-D.); (I.I.); (A.J.); (B.O.P.)
- Department of Neurology, Colentina Clinical Hospital, 020125 Bucharest, Romania
| | - Ana Hera-Drăguț
- Department of Clinical Neurosciences, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (M.N.); (A.H.-D.); (I.I.); (A.J.); (B.O.P.)
- Department of Neurology, Colentina Clinical Hospital, 020125 Bucharest, Romania
| | - Iulia Ioniță
- Department of Clinical Neurosciences, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (M.N.); (A.H.-D.); (I.I.); (A.J.); (B.O.P.)
- Department of Neurology, Colentina Clinical Hospital, 020125 Bucharest, Romania
| | - Ana Jugurt
- Department of Clinical Neurosciences, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (M.N.); (A.H.-D.); (I.I.); (A.J.); (B.O.P.)
- Department of Neurology, Colentina Clinical Hospital, 020125 Bucharest, Romania
| | - Eugenia Irene Davidescu
- Department of Clinical Neurosciences, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (M.N.); (A.H.-D.); (I.I.); (A.J.); (B.O.P.)
- Department of Neurology, Colentina Clinical Hospital, 020125 Bucharest, Romania
| | - Bogdan Ovidiu Popescu
- Department of Clinical Neurosciences, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania; (M.N.); (A.H.-D.); (I.I.); (A.J.); (B.O.P.)
- Department of Neurology, Colentina Clinical Hospital, 020125 Bucharest, Romania
- Department of Cell Biology, Neurosciences and Experimental Myology, “Victor Babeș” National Institute of Pathology, 050096 Bucharest, Romania
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Portaccio E, Betti M, De Meo E, Addazio I, Pastò L, Razzolini L, Totaro R, Spitaleri D, Lugaresi A, Cocco E, Onofrj M, Di Palma F, Patti F, Maimone D, Valentino P, Torri Clerici V, Protti A, Ferraro D, Lus G, Maniscalco GT, Brescia Morra V, Salemi G, Granella F, Pesci I, Bergamaschi R, Aguglia U, Vianello M, Simone M, Lepore V, Iaffaldano P, Comi G, Filippi M, Trojano M, Amato MP. Progression independent of relapse activity in relapsing multiple sclerosis: impact and relationship with secondary progression. J Neurol 2024; 271:5074-5082. [PMID: 38805052 PMCID: PMC11319422 DOI: 10.1007/s00415-024-12448-4] [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: 03/25/2024] [Revised: 05/12/2024] [Accepted: 05/14/2024] [Indexed: 05/29/2024]
Abstract
OBJECTIVES We investigated the occurrence and relative contribution of relapse-associated worsening (RAW) and progression independent of relapse activity (PIRA) to confirmed disability accrual (CDA) and transition to secondary progression (SP) in relapsing multiple sclerosis (MS). METHODS Relapsing-onset MS patients with follow-up > / = 5 years (16,130) were extracted from the Italian MS Registry. CDA was a 6-month confirmed increase in Expanded Disability Status Scale (EDSS) score. Sustained disability accumulation (SDA) was a CDA with no EDSS improvement in all subsequent visits. Predictors of PIRA and RAW and the association between final EDSS score and type of CDA were assessed using logistic multivariable regression and multivariable ordinal regression models, respectively. RESULTS Over 11.8 ± 5.4 years, 16,731 CDA events occurred in 8998 (55.8%) patients. PIRA (12,175) accounted for 72.3% of CDA. SDA occurred in 8912 (73.2%) PIRA and 2583 (56.7%) RAW (p < 0.001). 4453 (27.6%) patients transitioned to SPMS, 4010 (73.2%) out of 5476 patients with sustained PIRA and 443 (24.8%) out of 1790 patients with non-sustained PIRA. In the multivariable ordinal regression analysis, higher final EDSS score was associated with PIRA (estimated coefficient 0.349, 95% CI 0.120-0.577, p = 0.003). DISCUSSION In this real-world relapsing-onset MS cohort, PIRA was the main driver of disability accumulation and was associated with higher disability in the long term. Sustained PIRA was linked to transition to SP and could represent a more accurate PIRA definition and a criterion to mark the putative onset of the progressive phase.
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Affiliation(s)
- Emilio Portaccio
- Department of NEUROFARBA, University of Florence, Careggi University Hospital, Florence, Italy.
| | - Matteo Betti
- Department of NEUROFARBA, University of Florence, Careggi University Hospital, Florence, Italy
| | - Ermelinda De Meo
- Department of NEUROFARBA, University of Florence, Careggi University Hospital, Florence, Italy
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Ilaria Addazio
- Department of NEUROFARBA, University of Florence, Careggi University Hospital, Florence, Italy
| | - Luisa Pastò
- Department of NEUROFARBA, University of Florence, Careggi University Hospital, Florence, Italy
| | - Lorenzo Razzolini
- Department of NEUROFARBA, University of Florence, Careggi University Hospital, Florence, Italy
| | | | | | - Alessandra Lugaresi
- IRCCS Istituto Delle Scienze Neurologiche Di Bologna, Bologna, Italy
- Dipartimento Di Scienze Biomediche E Neuromotorie, Università Di Bologna, Bologna, Italy
| | | | - Marco Onofrj
- University G. d'Annunzio Di Chieti-Pescara, Chieti, Italy
| | | | - Francesco Patti
- University of Catania, Catania, Italy
- UOS Sclerosi Multipla, Policlinico G Rodolico-San Marco, University of Catania, Catania, Italy
| | - Davide Maimone
- Centro Sclerosi Multipla, Azienda Ospedaliera Cannizzaro, Catania, Italy
| | - Paola Valentino
- Institute of Neurology, University Magna Graecia, Catanzaro, Italy
| | | | | | - Diana Ferraro
- Department of Neurosciences, Ospedale Civile Di Baggiovara, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy
| | - Giacomo Lus
- University of Campania Luigi Vanvitelli, Naples, Italy
| | | | | | - Giuseppe Salemi
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, Palermo, Italy
| | | | - Ilaria Pesci
- Ospedale VAIO Di Fidenza AUSL PR, Fidenza (PR), Italy
| | | | - Umberto Aguglia
- Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy
| | | | - Marta Simone
- Pediatric MS Center, Department of Precision and Regenerative Medicine and Ionian Area, University of Bari Aldo Moro, Bari, Italy
| | - Vito Lepore
- Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Pietro Iaffaldano
- Department of Translational Biomedicine and Neurosciences, University of Bari Aldo Moro, DiBraiN, Bari, Italy
| | - Giancarlo Comi
- Casa Di Cura del Policlinico, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Vita-Salute San Raffaele University, Milan, Italy
- IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Trojano
- Department of Translational Biomedicine and Neurosciences, University of Bari Aldo Moro, DiBraiN, Bari, Italy
| | - Maria Pia Amato
- Department of NEUROFARBA, University of Florence, Careggi University Hospital, Florence, Italy
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- San Salvatore Hospital, L'Aquila, Italy
- AORN San G. Moscati, Avellino, Italy
- IRCCS Istituto Delle Scienze Neurologiche Di Bologna, Bologna, Italy
- Dipartimento Di Scienze Biomediche E Neuromotorie, Università Di Bologna, Bologna, Italy
- University of Cagliari, Cagliari, Italy
- University G. d'Annunzio Di Chieti-Pescara, Chieti, Italy
- ASST Lariana Ospedale S. Anna, Como, Italy
- University of Catania, Catania, Italy
- UOS Sclerosi Multipla, Policlinico G Rodolico-San Marco, University of Catania, Catania, Italy
- Centro Sclerosi Multipla, Azienda Ospedaliera Cannizzaro, Catania, Italy
- Institute of Neurology, University Magna Graecia, Catanzaro, Italy
- Fondazione IRCCS Istituto Neurologico C. Besta, Milan, Italy
- Niguarda Hospital, Milan, Italy
- Department of Neurosciences, Ospedale Civile Di Baggiovara, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy
- University of Campania Luigi Vanvitelli, Naples, Italy
- A Cardarelli Hospital, Naples, Italy
- Federico II University, Naples, Italy
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), University of Palermo, Palermo, Italy
- University of Parma, Parma, Italy
- Ospedale VAIO Di Fidenza AUSL PR, Fidenza (PR), Italy
- IRCCS Fondazione Mondino, Pavia, Italy
- Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy
- Ca' Fancello Hospital, AULSS2, Treviso, Italy
- Department of Translational Biomedicine and Neurosciences, University of Bari Aldo Moro, DiBraiN, Bari, Italy
- Istituto Di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
- Casa Di Cura del Policlinico, Vita-Salute San Raffaele University, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- IRCCS San Raffaele Scientific Institute, Milan, Italy
- IRCCS Don Carlo Gnocchi Foundation, Florence, Italy
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Fettig NM, Pu A, Osborne LC, Gommerman JL. The influence of aging and the microbiome in multiple sclerosis and other neurologic diseases. Immunol Rev 2024; 325:166-189. [PMID: 38890777 DOI: 10.1111/imr.13361] [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: 06/20/2024]
Abstract
The human gut microbiome is well-recognized as a key player in maintaining health. However, it is a dynamic entity that changes across the lifespan. How the microbial changes that occur in later decades of life shape host health or impact age-associated inflammatory neurological diseases such as multiple sclerosis (MS) is still unclear. Current understanding of the aging gut microbiome is largely limited to cross-sectional observational studies. Moreover, studies in humans are limited by confounding host-intrinsic and extrinsic factors that are not easily disentangled from aging. This review provides a comprehensive summary of existing literature on the aging gut microbiome and its known relationships with neurological diseases, with a specific focus on MS. We will also discuss preclinical animal models and human studies that shed light on the complex microbiota-host interactions that have the potential to influence disease pathology and progression in aging individuals. Lastly, we propose potential avenues of investigation to deconvolute features of an aging microbiota that contribute to disease, or alternatively promote health in advanced age.
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Affiliation(s)
- Naomi M Fettig
- Department of Microbiology & Immunology, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada
| | - Annie Pu
- Department of Immunology, University of Toronto, Toronto, ON, Canada
| | - Lisa C Osborne
- Department of Microbiology & Immunology, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada
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Berjaoui C, Kachouh C, Joumaa S, Hussein Ghayyad M, Abate Bekele B, Ajirenike R, Al Maaz Z, Awde S, Wojtara M, Nazir A, Uwishema O. Neuroinflammation-on-a-chip for multiple sclerosis research: a narrative review. Ann Med Surg (Lond) 2024; 86:4053-4059. [PMID: 38989179 PMCID: PMC11230822 DOI: 10.1097/ms9.0000000000002231] [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: 09/26/2023] [Accepted: 05/19/2024] [Indexed: 07/12/2024] Open
Abstract
Introduction Multiple sclerosis (MS) is a chronic inflammatory condition that impacts the central nervous system. It is distinguished by processes like demyelination, gliosis, neuro-axonal harm, and inflammation. The prevailing theory suggests that MS originates from an immune response directed against the body's own antigens within the central nervous system. Aim The main aim of this research paper "Neuroinflammation-on-a-Chip" for studying multiple sclerosis is to enhance our comprehension of MS development, demonstrate the application of cutting-edge technology, and potentially provide valuable insights for therapeutic approaches. Methods The available literature for this Narrative Review was searched on various bibliographic databases, PubMed, NCBI, and many other medical references using an individually verified, prespecified approach. Studies regarding the significance of MS and its neuroinflammatory pathogenesis in addition to the development and optimization of neuroinflammatory-on-a-chip and the advancement in innovations in this field have been reviewed in this research for a better understanding of "Neuroinflammation-on-a-chip for multiple sclerosis". The level of evidence of the included studies was considered as per the Centre for Evidence-Based Medicine recommendations. Results Several studies have indicated that the brain-chip model closely mimics cortical brain tissue compared to commonly used conventional cell culture methods like the Transwell culture system. Additionally, these studies have clearly demonstrated that further research using brain chips has the potential to enhance our understanding of the molecular mechanisms and roles of blood-brain barrier (BBB) transporters in both normal and disease conditions. Conclusion Understanding neuroinflammation processes remains essential to establish new MS treatments approaches. The utilization of brain chips promises to advance our understanding of the molecular processes involving BBB transporters, both in normal and diseased states. Further research needs to be addressed in order to enhance the performance and understanding of neuroinflammation on a chip, hence aiming to provide more effective treatments for all CNS diseases.
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Affiliation(s)
- Christin Berjaoui
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- Faculty of Medicine, Beirut Arab University
| | - Charbel Kachouh
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- Faculty of Medicine, Saint-Joseph University
| | - Safaa Joumaa
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- Faculty of Medical Science, Lebanese University, Beirut, Lebanon
| | - Mohammad Hussein Ghayyad
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- Faculty of Medicine, Beirut Arab University
| | - Bisrat Abate Bekele
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Rita Ajirenike
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- Department of Internal Medicine, Rivers State University Teaching Hospital, Rivers State, Nigeria
| | - Zeina Al Maaz
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- Faculty of Medicine, Beirut Arab University
| | - Sara Awde
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- Faculty of Medicine, Beirut Arab University
| | - Magda Wojtara
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- University of Michigan Medical School, Ann Arbor, MI
| | - Abubakar Nazir
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- Department of Medicine, King Edward Medical University, Lahore, Pakistan
| | - Olivier Uwishema
- Oli Health Magazine Organization, Research, and Education, Kigali, Rwanda
- Clinton Global Initiative University, New York, NY, USA
- Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
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Cooze B, Neal J, Vineed A, Oliveira JC, Griffiths L, Allen KH, Hawkins K, Yadanar H, Gerhards K, Farkas I, Reynolds R, Howell O. Digital Pathology Identifies Associations between Tissue Inflammatory Biomarkers and Multiple Sclerosis Outcomes. Cells 2024; 13:1020. [PMID: 38920650 PMCID: PMC11201856 DOI: 10.3390/cells13121020] [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: 04/15/2024] [Revised: 05/22/2024] [Accepted: 05/29/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND Multiple sclerosis (MS) is a clinically heterogeneous disease underpinned by inflammatory, demyelinating and neurodegenerative processes, the extent of which varies between individuals and over the course of the disease. Recognising the clinicopathological features that most strongly associate with disease outcomes will inform future efforts at patient phenotyping. AIMS We used a digital pathology workflow, involving high-resolution image acquisition of immunostained slides and opensource software for quantification, to investigate the relationship between clinical and neuropathological features in an autopsy cohort of progressive MS. METHODS Sequential sections of frontal, cingulate and occipital cortex, thalamus, brain stem (pons) and cerebellum including dentate nucleus (n = 35 progressive MS, females = 28, males = 7; age died = 53.5 years; range 38-98 years) were immunostained for myelin (anti-MOG), neurons (anti-HuC/D) and microglia/macrophages (anti-HLA). The extent of demyelination, neurodegeneration, the presence of active and/or chronic active lesions and quantification of brain and leptomeningeal inflammation was captured by digital pathology. RESULTS Digital analysis of tissue sections revealed the variable extent of pathology that characterises progressive MS. Microglia/macrophage activation, if found at a higher level in a single block, was typically elevated across all sampled blocks. Compartmentalised (perivascular/leptomeningeal) inflammation was associated with age-related measures of disease severity and an earlier death. CONCLUSION Digital pathology identified prognostically important clinicopathological correlations in MS. This methodology can be used to prioritise the principal pathological processes that need to be captured by future MS biomarkers.
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Affiliation(s)
- Benjamin Cooze
- Faculty of Medicine, Health & Life and Health Sciences, Swansea University, Swansea SA2 8PP, UK; (B.C.); (A.V.); (J.C.O.); (L.G.); (K.H.A.); (K.H.); (H.Y.); (K.G.); (O.H.)
| | - James Neal
- Faculty of Medicine, Health & Life and Health Sciences, Swansea University, Swansea SA2 8PP, UK; (B.C.); (A.V.); (J.C.O.); (L.G.); (K.H.A.); (K.H.); (H.Y.); (K.G.); (O.H.)
| | - Alka Vineed
- Faculty of Medicine, Health & Life and Health Sciences, Swansea University, Swansea SA2 8PP, UK; (B.C.); (A.V.); (J.C.O.); (L.G.); (K.H.A.); (K.H.); (H.Y.); (K.G.); (O.H.)
| | - J. C. Oliveira
- Faculty of Medicine, Health & Life and Health Sciences, Swansea University, Swansea SA2 8PP, UK; (B.C.); (A.V.); (J.C.O.); (L.G.); (K.H.A.); (K.H.); (H.Y.); (K.G.); (O.H.)
| | - Lauren Griffiths
- Faculty of Medicine, Health & Life and Health Sciences, Swansea University, Swansea SA2 8PP, UK; (B.C.); (A.V.); (J.C.O.); (L.G.); (K.H.A.); (K.H.); (H.Y.); (K.G.); (O.H.)
| | - K. H. Allen
- Faculty of Medicine, Health & Life and Health Sciences, Swansea University, Swansea SA2 8PP, UK; (B.C.); (A.V.); (J.C.O.); (L.G.); (K.H.A.); (K.H.); (H.Y.); (K.G.); (O.H.)
| | - Kristen Hawkins
- Faculty of Medicine, Health & Life and Health Sciences, Swansea University, Swansea SA2 8PP, UK; (B.C.); (A.V.); (J.C.O.); (L.G.); (K.H.A.); (K.H.); (H.Y.); (K.G.); (O.H.)
| | - Htoo Yadanar
- Faculty of Medicine, Health & Life and Health Sciences, Swansea University, Swansea SA2 8PP, UK; (B.C.); (A.V.); (J.C.O.); (L.G.); (K.H.A.); (K.H.); (H.Y.); (K.G.); (O.H.)
| | - Krisjanis Gerhards
- Faculty of Medicine, Health & Life and Health Sciences, Swansea University, Swansea SA2 8PP, UK; (B.C.); (A.V.); (J.C.O.); (L.G.); (K.H.A.); (K.H.); (H.Y.); (K.G.); (O.H.)
| | - Ildiko Farkas
- Division of Brain Sciences, Imperial College London, London SW7 2AZ, UK; (I.F.); (R.R.)
| | - Richard Reynolds
- Division of Brain Sciences, Imperial College London, London SW7 2AZ, UK; (I.F.); (R.R.)
| | - Owain Howell
- Faculty of Medicine, Health & Life and Health Sciences, Swansea University, Swansea SA2 8PP, UK; (B.C.); (A.V.); (J.C.O.); (L.G.); (K.H.A.); (K.H.); (H.Y.); (K.G.); (O.H.)
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Oh J, Giacomini PS, Yong VW, Costello F, Blanchette F, Freedman MS. From progression to progress: The future of multiple sclerosis. J Cent Nerv Syst Dis 2024; 16:11795735241249693. [PMID: 38711957 PMCID: PMC11072059 DOI: 10.1177/11795735241249693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 04/08/2024] [Indexed: 05/08/2024] Open
Abstract
Significant advances have been made in the diagnosis and treatment of multiple sclerosis in recent years yet challenges remain. The current classification of MS phenotypes according to disease activity and progression, for example, does not adequately reflect the underlying pathophysiological mechanisms that may be acting in an individual with MS at different time points. Thus, there is a need for clinicians to transition to a management approach based on the underlying pathophysiological mechanisms that drive disability in MS. A Canadian expert panel convened in January 2023 to discuss priorities for clinical discovery and scientific exploration that would help advance the field. Five key areas of focus included: identifying a mechanism-based disease classification system; developing biomarkers (imaging, fluid, digital) to identify pathologic processes; implementing a data-driven approach to integrate genetic/environmental risk factors, clinical findings, imaging and biomarker data, and patient-reported outcomes to better characterize the many factors associated with disability progression; utilizing precision-based treatment strategies to target different disease processes; and potentially preventing disease through Epstein-Barr virus (EBV) vaccination, counselling about environmental risk factors (e.g. obesity, exercise, vitamin D/sun exposure, smoking) and other measures. Many of the tools needed to meet these needs are currently available. Further work is required to validate emerging biomarkers and tailor treatment strategies to the needs of individual patients. The hope is that a more complete view of the individual's pathobiology will enable clinicians to usher in an era of truly personalized medicine, in which more informed treatment decisions throughout the disease course achieve better long-term outcomes.
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Affiliation(s)
- Jiwon Oh
- St. Michael’s Hospital, Toronto, ON, Canada
| | | | - V. Wee Yong
- University of Calgary and Hotchkiss Brain Institute, Calgary, Canada
| | - Fiona Costello
- University of Calgary and Hotchkiss Brain Institute, Calgary, Canada
| | | | - Mark S. Freedman
- Department of Medicine¸ University of Ottawa, Ottawa, ON, Canada
- The Ottawa Hospital Research Institute, Ottawa, QC, Canada
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Nakken O, Aarseth JH, Wergeland S, Stigum H, Meyer HE, Holmøy T. BCG vaccination and multiple sclerosis risk: A Norwegian cohort study. Mult Scler 2024; 30:646-653. [PMID: 38414125 PMCID: PMC11071596 DOI: 10.1177/13524585241230440] [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: 10/26/2023] [Revised: 12/17/2023] [Accepted: 01/18/2024] [Indexed: 02/29/2024]
Abstract
INTRODUCTION Bacillus Calmette-Guérin (BCG) vaccination induces long-lasting effects on the adaptive and innate immune systems and prevents development of experimental autoimmune encephalomyelitis and possibly also inflammatory disease activity in multiple sclerosis (MS). OBJECTIVE The objective is to examine if BCG given in early adulthood decreases MS risk. METHODS From 791,369 (52% females) Norwegians participating in a national tuberculosis screening program from 1963 to 1975, we collected information on BCG vaccination and tuberculosis disease status. Later, MS disease was ascertained through both the Norwegian MS Registry and Biobank and the Norwegian Death Registry. We used logistic regression models to assess the relationship between BCG vaccination and MS risk. RESULTS In those BCG vaccinated, mean age at vaccination was 15.6 (standard deviation (SD) = 5.5) years. A total of 2862 (65% females) MS cases were retrieved. Overall, we found no association between MS risk and BCG vaccination. Compared to non-BCG-vaccinated individuals with no signs of tuberculosis infection, odds ratio (OR) for MS was 1.00 (95% confidence interval (CI) = 0.80-1.25) in the BCG-vaccinated group. In those not BCG vaccinated because of latent tuberculosis infection, the corresponding OR was 0.86 (95% CI = 0.66-1.13). CONCLUSION We found no evidence of BCG vaccination or latent tuberculosis infection in young adulthood being linked to MS risk.
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Affiliation(s)
- Ola Nakken
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway
| | - Jan Harald Aarseth
- Norwegian MS Registry and Biobank, Department of Neurology, Haukeland University Hospital, Bergen, Norway/Institute of clinical medicine, University of Bergen, Bergen, Norway
| | - Stig Wergeland
- Norwegian MS Registry and Biobank, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Hein Stigum
- Norwegian Institute of Public Health, Oslo, Norway/ Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway
| | - Haakon E Meyer
- Norwegian Institute of Public Health, Oslo, Norway/ Department of Community Medicine and Global Health, University of Oslo, Oslo, Norway
| | - Trygve Holmøy
- Department of Neurology, Akershus University Hospital, Lørenskog, Norway/Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Scherer L, Soudant M, Pittion-Vouyovitch S, Debouverie M, Guillemin F, Epstein J, Mathey G. Risk of secondary progression in patients with highly active multiple sclerosis treated with natalizumab: a real-life study. J Neurol 2024; 271:2216-2224. [PMID: 38421420 DOI: 10.1007/s00415-024-12266-8] [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: 09/04/2023] [Revised: 01/31/2024] [Accepted: 02/16/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND one of the most important therapeutic goals in relapse-onset multiple sclerosis is to preclude conversion to secondary progression. Our objective was to determine the risk of progression associated with natalizumab treatment in an registry-based cohort of patients and to identify determinant factors. METHODS Patients with relapse-onset multiple sclerosis from the Registre Lorrain des Scléroses en Plaques (ReLSEP) were included if they had received one infusion of natalizumab between 2002 and 2021. The risk of secondary progression was determined using a standardized definition and a multi-state estimator to account for the possibility of stopping natalizumab before progression, and analyzed with multivariate Cox models. RESULTS 574 patients were followed up for a median of 6.7 years. Of the 304 who stopped NTZ before progression onset, the probabilities (95% confidence interval) to convert to progression after 1, 2, 5 and 10 years were 3.2% (2.0-4.8%), 5.3% (3.6-7.3%), 17.5% (14.3-21.3%) and 28.3% (23.7-33.7%), respectively. Discontinuation of NTZ during follow-up was significantly associated with an increased risk of conversion in case of no resumption of a highly active treatment thereafter (adjusted hazard ratio = 2.7; 95% confidence interval 1.5-4.9; p = 0.001). The use of such a treatment was associated with a lower risk of progression (adjusted hazard ratio = 0.42; 95% confidence interval 0.23-0.79; p = 0.007). CONCLUSION the risk of conversion to secondary progression associated with natalizumab treatment is relatively low but increases in case of natalizumab discontinuation in the absence of switch to highly active immunosuppressant.
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Affiliation(s)
- Louisa Scherer
- Department of Neurology, Nancy University Hospital, 54035, Nancy, France
| | - Marc Soudant
- CIC, Epidémiologie Clinique, CHRU-Nancy, Université de Lorraine, 54000, Nancy, France
| | | | - Marc Debouverie
- Department of Neurology, Nancy University Hospital, 54035, Nancy, France
- Université de Lorraine, INSPIIRE, INSERM, 54000, Nancy, France
| | - Francis Guillemin
- CIC, Epidémiologie Clinique, CHRU-Nancy, Université de Lorraine, 54000, Nancy, France
- Université de Lorraine, INSPIIRE, INSERM, 54000, Nancy, France
| | - Jonathan Epstein
- CIC, Epidémiologie Clinique, CHRU-Nancy, Université de Lorraine, 54000, Nancy, France
- Université de Lorraine, INSPIIRE, INSERM, 54000, Nancy, France
| | - Guillaume Mathey
- Department of Neurology, Nancy University Hospital, 54035, Nancy, France.
- Université de Lorraine, INSPIIRE, INSERM, 54000, Nancy, France.
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Lorefice L, Ferraro OE, Fenu G, Amato MP, Bresciamorra V, Conte A, De Luca G, Ferraro D, Filippi M, Gazzola P, Iaffaldano P, Inglese M, Lus G, Marfia GA, Patti F, Pesci I, Salemi G, Trojano M, Zaffaroni M, Monti MC, Cocco E. Late-onset multiple sclerosis: disability trajectories in relapsing-remitting patients of the Italian MS Registry. J Neurol 2024; 271:1630-1637. [PMID: 38172380 DOI: 10.1007/s00415-023-12152-9] [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: 09/25/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Generally infrequent, multiple sclerosis (MS) with late onset (LOMS) is characterized by an onset over the age of 50 and a mainly progressive course, while relapsing-remitting (RR) forms are less frequently observed and explored. This study aimed to characterize a large cohort of MS patients with RRMS at onset to assess the baseline factors related to the worst disability trajectories and explore the role of LOMS. METHODS The data were extracted from the Italian MS Register (IMSR). Disability trajectories, defined using at least two and up to twenty expanded disability status scale (EDSS) assessments annually performed, were implemented using group-based trajectory models (GBTMs) to identify different groups with the same trajectories over time. MS profiles were explored using multinomial logistic regression. RESULTS A total of 16,159 RR patients [1012 (6.26%) presented with LOMS] were analyzed. The GBTM identified four disability trajectories. The group with the most severe EDSS trend included 12.3% of the patients with a mean EDSS score > 4, which increased over time and exceeded 6 score. The group with medium severity EDSS trend comprised 21.9% of the patients and showed a change in EDSS > 3 scores over time. The largest group with 50.8% of patients reported a constant EDSS of 2 score. Finally, the benign group comprised 14.9% of the patients with a low and constant EDSS of 1 score over time. The probability of being in the worst groups increased if the patient was male; had LOMS or experienced brainstem, spinal, or supratentorial symptoms. CONCLUSIONS Four MS severity profiles among RRMS patients in the IMSR have been reported, with LOMS being associated with a rapid worsening of EDSS scores. These findings have important implications for recognizing and managing how older age, aging, and age-related factors interact with MS and its evolution.
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Affiliation(s)
- Lorena Lorefice
- Department of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, University of Cagliari, ASL Cagliari, via Is Guadazzonis 2, PO Binaghi, 01916, Cagliari, Italy.
| | - Ottavia Elena Ferraro
- Unit of Biostatistics and Clinical Epidemiology, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100, Pavia, Italy
| | - Giuseppe Fenu
- Department of Neurosciences, ARNAS Brotzu, Cagliari, Italy
| | - Maria Pia Amato
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Vincenzo Bresciamorra
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, Multiple Sclerosis Clinical Care and Research Centre, University of Naples "Federico II", Naples, Italy
| | - Antonella Conte
- Department of Human Neurosciences, Sapienza, University of Rome, Rome, Italy
- IRCCS Neuromed, Pozzilli, IS, Italy
| | - Giovanna De Luca
- Multiple Sclerosis Centre, Neurology Unit, SS. Annunziata Hospital University "G D'Annunzio" Chieti-Pescara, Chieti, Italy
| | - Diana Ferraro
- Department of Neurosciences, Civil Hospital of Baggiovara, AOU of Modena, Baggiovara, Italy
| | - Massimo Filippi
- Neurology, Neurorehabilitation and Neuroimaging Research Units, Neurophysiology Service, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Paola Gazzola
- Neurology Unit, P.A. Micone Hospital, ASL3 Genovese, Genoa, Italy
| | - Pietro Iaffaldano
- Department of Translational Biomedicine and Neurosciences, DiBraiN University of Bari Aldo Moro, Bari, Italy
| | - Matilde Inglese
- Dipartimento Di Neuroscienze, Riabilitazione, Oftalmologia, Genetica E Scienze Materno - Infantili (DINOGMI), Universita' Di Genova, Genoa, Liguria, Italy
| | - Giacomo Lus
- Multiple Sclerosis Center, Second Division of Neurology, Department of Advanced Medical and Surgical Science, University of Campania Luigi Vanvitelli, 80131, Naples, Italy
| | - Girolama Alessandra Marfia
- Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, 00133, Rome, Italy
| | - Francesco Patti
- Department Medical and Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy
| | - Ilaria Pesci
- Centro Sclerosi Multipla Unità Operativa Neurologia, Azienda Unità Sanitaria Locale, Ospedale Di Vaio, Fidenza, Parma, Italy
| | - Giuseppe Salemi
- Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Maria Trojano
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", 70124, Bari, Italy
| | - Mauro Zaffaroni
- Multiple Sclerosis Center, Hospital of Gallarate - ASST Della Valle Olona, Gallarate, Italy
| | - Maria Cristina Monti
- Unit of Biostatistics and Clinical Epidemiology, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100, Pavia, Italy
| | - Eleonora Cocco
- Department of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, University of Cagliari, ASL Cagliari, via Is Guadazzonis 2, PO Binaghi, 01916, Cagliari, Italy
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Rizzo JF, Shah MP, Krasniqi D, Lu YR, Sinclair DA, Ksander BR. The Role of Epigenetics in Accelerated Aging: A Reconsideration of Later-Life Visual Loss After Early Optic Neuropathy. J Neuroophthalmol 2024; 44:16-21. [PMID: 37938114 DOI: 10.1097/wno.0000000000002041] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
BACKGROUND In 2005, we reported 3 patients with bilateral optic nerve damage early in life. These patients had stable vision for decades but then experienced significant bilateral vision loss with no obvious cause. Our hypothesis, novel at that time, was that the late decline of vision was due to age-related attrition of retinal ganglion cells superimposed on a reduced neuronal population due to the earlier injury. EVIDENCE ACQUISITION The field of epigenetics provides a new paradigm with which to consider the normal aging process and the impact of neuronal injury, which has been shown to accelerate aging. Late-in-life decline in function after early neuronal injury occurs in multiple sclerosis due to dysregulated inflammation and postpolio syndrome. Recent studies by our group in mice have also demonstrated the possibility of partial reversal of cellular aging and the potential to mitigate anatomical damage after injury and even improve visual function. RESULTS The results in mice and nonhuman primates published elsewhere have shown enhanced neuronal survival and visual function after partial epigenetic reprogramming. CONCLUSIONS Injury promotes epigenetic aging , and this finding can be observed in several clinically relevant scenarios. An understanding of the epigenetic mechanisms at play opens the opportunity to restore function in the nervous system and elsewhere with cellular rejuvenation therapies. Our earlier cases exemplify how reconsideration of previously established concepts can motivate inquiry of new paradigms.
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Affiliation(s)
- Joseph F Rizzo
- Department of Ophthalmology and the Neuro-Ophthalmology Service (JFR), Massachusetts Eye and Ear and the Harvard Medical School, Boston, Massachusetts; Avedisian and Chobanian School of Medicine (MPS), Boston University, Boston, Massachusetts; Department of Ophthalmology (MPS, DK, BRK), Harvard Medical School, Schepens Eye Research Institute of Mass Eye & Ear, Boston, Massachusetts; Department of Biology (YRL), Whitehead Institute for Biomedical Sciences, MIT, Cambridge, Massachusetts; and Paul F. Glenn Center for Biology of Aging Research (DAS), Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts
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Camerlingo S, Rubinstein F, Celia Ysrraelit M, Correale J, Carnero Contentti E, Rojas JI, Patrucco L, Leguizamon FDV, Tkachuk V, Fernandez Liguori N, Cristiano E, Mainella C, Zanga G, Carra A, Marrodan M, Martinez AD, Silva BA, Alonso R. Clinical impact of gender and age at onset on disease trajectory in primary progressive multiple sclerosis patients. Mult Scler 2024; 30:336-344. [PMID: 38247138 DOI: 10.1177/13524585231219138] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
BACKGROUND AND OBJECTIVES Primary-progressive multiple sclerosis (PPMS) is characterized by gradual neurological deterioration without relapses. This study aimed to investigate the clinical impact of gender and age at disease onset on disease progression and disability accumulation in patients with this disease phenotype. METHODS Secondary data from the RelevarEM registry, a longitudinal database in Argentina, were analyzed. The cohort comprised patients with PPMS who met inclusion criteria. Statistical analysis with multilevel Bayesian robust regression modeling was conducted to assess the associations between gender, age at onset, and Expanded Disability Status Scale (EDSS) score trajectories. RESULTS We identified 125 patients with a confirmed diagnosis of PPMS encompassing a total of 464 observations. We found no significant differences in EDSS scores after 10 years of disease progression between genders (-0.08; credible interval (CI): -0.60, 0.42). A 20-year difference in age at onset did not show significant differences in EDSS score after 10 years of disease progression (0.281; CI: -0.251, 0.814). Finally, we also did not find any clinically relevant difference between gender EDSS score with a difference of 20 years in age at onset (-0.021; CI: -0.371, 0.319). CONCLUSION Biological plausibility of gender and age effects does not correlate with clinical impact measured by EDSS score.
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Affiliation(s)
| | - Fernando Rubinstein
- Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina
| | | | | | | | - Juan I Rojas
- Centro de Esclerosis Múltiple Buenos Aires (CEMBA), Buenos Aires, Argentina
| | - Liliana Patrucco
- Centro de Esclerosis Múltiple Buenos Aires (CEMBA), Buenos Aires, Argentina
| | | | - Veronica Tkachuk
- Neurology Department, Hospital de Clinicas Jose de San Martin, Buenos Aires, Argentina
| | | | - Edgardo Cristiano
- Centro de Esclerosis Múltiple Buenos Aires (CEMBA), Buenos Aires, Argentina
| | | | - Gisela Zanga
- Neurology Department, Hospital Dr. César Milstein, Buenos Aires, Argentina
| | - Adriana Carra
- Neurology Department, Hospital Británico, Buenos Aires, Argentina
| | | | | | | | - Ricardo Alonso
- Centro Universitario de Esclerosis Múltiple (CUEM), Hospital Ramos Mejía, Buenos Aires, Argentina; Neurology Department, Sanatorio Güemes, Buenos Aires, Argentina
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Tomizawa Y, Hagiwara A, Hoshino Y, Nakaya M, Kamagata K, Cossu D, Yokoyama K, Aoki S, Hattori N. The glymphatic system as a potential biomarker and therapeutic target in secondary progressive multiple sclerosis. Mult Scler Relat Disord 2024; 83:105437. [PMID: 38244527 DOI: 10.1016/j.msard.2024.105437] [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: 10/03/2023] [Revised: 12/11/2023] [Accepted: 01/07/2024] [Indexed: 01/22/2024]
Abstract
BACKGROUND Multiple sclerosis (MS) is a refractory immune-mediated inflammatory disease of the central nervous system, and some cases of the major subtype, relapsing-remitting (RR), transition to secondary progressive (SP). However, the detailed pathogenesis, biomarkers, and effective treatment strategies for secondary progressive multiple sclerosis have not been established. The glymphatic system, which is responsible for waste clearance in the brain, is an intriguing avenue for investigation and is primarily studied through diffusion tensor image analysis along the perivascular space (DTI-ALPS). This study aimed to compare DTI-ALPS indices between patients with RRMS and SPMS to uncover potential differences in their pathologies and evaluate the utility of the glymphatic system as a possible biomarker. METHODS A cohort of 26 patients with MS (13 RRMS and 13 SPMS) who met specific criteria were enrolled in this prospective study. Magnetic resonance imaging (MRI), including diffusion MRI, 3D T1-weighted imaging, and relaxation time quantification, was conducted. The ALPS index, a measure of glymphatic function, was calculated using diffusion-weighted imaging data. Demographic variables, MRI metrics, and ALPS indices were compared between patients with RRMS and those with SPMS. RESULTS The ALPS index was significantly lower in the SPMS group. Patients with SPMS exhibited longer disease duration and higher Expanded Disability Status Scale (EDSS) scores than those with RRMS. Despite these differences, the correlations between the EDSS score, disease duration, and ALPS index were minimal, suggesting that the impact of these clinical variables on ALPS index variations was negligible. DISCUSSION Our study revealed the potential microstructural and functional differences between RRMS and SPMS related to glymphatic system impairment. Although disease severity and duration vary among subtypes, their influence on ALPS index differences appears to be limited. This highlights the stronger association between SP conversion and changes in the ALPS index. These findings align with those of previous research, indicating the involvement of the glymphatic system in the progression of MS. CONCLUSION Although the causality remains uncertain, our study suggests that a reduced ALPS index, reflecting glymphatic system dysfunction, may contribute to MS progression, particularly in SPMS. This suggests the potential of the ALPS index as a diagnostic biomarker for SPMS and underscores the potential of the glymphatic system as a therapeutic target to mitigate MS progression. Future studies with larger cohorts and pathological validation are necessary to confirm these findings. This study provides new insights into the pathogenesis of SPMS and the potential for innovative therapeutic strategies.
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Affiliation(s)
- Yuji Tomizawa
- Department of Neurology, School of Medicine, Juntendo University School of Medicine, Hongo 2-1-1, Bunkyo, Tokyo 113-8431, Japan.
| | - Akifumi Hagiwara
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Yasunobu Hoshino
- Department of Neurology, School of Medicine, Juntendo University School of Medicine, Hongo 2-1-1, Bunkyo, Tokyo 113-8431, Japan
| | - Moto Nakaya
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Koji Kamagata
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Davide Cossu
- Department of Neurology, School of Medicine, Juntendo University School of Medicine, Hongo 2-1-1, Bunkyo, Tokyo 113-8431, Japan
| | - Kazumasa Yokoyama
- Department of Neurology, School of Medicine, Juntendo University School of Medicine, Hongo 2-1-1, Bunkyo, Tokyo 113-8431, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Nobutaka Hattori
- Department of Neurology, School of Medicine, Juntendo University School of Medicine, Hongo 2-1-1, Bunkyo, Tokyo 113-8431, Japan
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Knowles S, Middleton R, Cooze B, Farkas I, Leung YY, Allen K, Winslade M, Owen DRJ, Magliozzi R, Reynolds R, Neal JW, Pearson O, Nicholas R, Pickrell WO, Howell OW. Comparing the Pathology, Clinical, and Demographic Characteristics of Younger and Older-Onset Multiple Sclerosis. Ann Neurol 2024; 95:471-486. [PMID: 38061895 DOI: 10.1002/ana.26843] [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: 09/22/2023] [Revised: 11/13/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE Older people with multiple sclerosis (MS) have a less active radiological and clinical presentation, but many still attain significant levels of disability; but what drives worsening disability in this group? METHODS We used data from the UK MS Register to characterize demographics and clinical features of late-onset multiple sclerosis (LOMS; symptom onset at ≥50 years), compared with adult-onset MS (AOMS; onset 18-49 years). We performed a pathology study of a separate MS cohort with a later onset (n = 18, mean age of onset 54 years) versus AOMS (n = 23, mean age of onset 29 years). RESULTS In the Register cohort, there were 1,608 (9.4%) with LOMS. When compared with AOMS, there was a lower proportion of women, a higher proportion of primary progressive MS, a higher level of disability at diagnosis (median MS impact scale 36.7 vs. 28.3, p < 0.001), and a higher proportion of gait-related initial symptoms. People with LOMS were less likely to receive a high efficacy disease-modifying treatment and attained substantial disability sooner. Controlling for age of death and sex, neuron density in the thalamus and pons decreased with onset-age, whereas actively demyelinating lesions and compartmentalized inflammation was greatest in AOMS. Only neuron density, and not demyelination or the extent of compartmentalized inflammation, correlated with disability outcomes in older-onset MS patients. INTERPRETATION The more progressive nature of older-onset MS is associated with significant neurodegeneration, but infrequent inflammatory demyelination. These findings have implications for the assessment and treatment of MS in older people. ANN NEUROL 2024;95:471-486.
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Affiliation(s)
- Sarah Knowles
- UK MS Register, Swansea University Medical School, Swansea University, Swansea, UK
| | - Rod Middleton
- UK MS Register, Swansea University Medical School, Swansea University, Swansea, UK
| | - Benjamin Cooze
- Department of Neurosciences, Swansea University Medical School, Swansea University, Swansea, UK
| | - Ildiko Farkas
- Division of Brain Sciences, Imperial College London, London, UK
| | | | - Kelsey Allen
- Department of Neurosciences, Swansea University Medical School, Swansea University, Swansea, UK
| | - Molly Winslade
- Department of Neurosciences, Swansea University Medical School, Swansea University, Swansea, UK
| | - David R J Owen
- Division of Brain Sciences, Imperial College London, London, UK
| | - Roberta Magliozzi
- Division of Brain Sciences, Imperial College London, London, UK
- Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | | | - James W Neal
- Department of Neurosciences, Swansea University Medical School, Swansea University, Swansea, UK
| | - Owen Pearson
- Neurology Department, Morriston Hospital, Swansea Bay University Health Board, Port Talbot, UK
| | - Richard Nicholas
- UK MS Register, Swansea University Medical School, Swansea University, Swansea, UK
- Division of Brain Sciences, Imperial College London, London, UK
| | - W Owen Pickrell
- Department of Neurosciences, Swansea University Medical School, Swansea University, Swansea, UK
- Neurology Department, Morriston Hospital, Swansea Bay University Health Board, Port Talbot, UK
| | - Owain W Howell
- Department of Neurosciences, Swansea University Medical School, Swansea University, Swansea, UK
- Division of Brain Sciences, Imperial College London, London, UK
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Tolf A, Gauffin H, Burman J, Landtblom AM, Flensner G. Experiences of being treated with autologous haematopoietic stem cell transplantation for aggressive multiple sclerosis: A qualitative interview study. PLoS One 2024; 19:e0297573. [PMID: 38324607 PMCID: PMC10849216 DOI: 10.1371/journal.pone.0297573] [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: 08/15/2023] [Accepted: 01/08/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Autologous haematopoietic stem cell transplantation (AHSCT) is increasingly used as a treatment for aggressive multiple sclerosis (MS) and has the potential to induce long-term remission and resolution of disease activity. Despite the extensive research on treatment outcome after AHSCT, the experience of living with MS after AHSCT has not been previously described in the scientific literature. The aim of this study was to explore long-term lived experience of people with MS treated with AHSCT. METHODS AND FINDINGS To exclude selection bias, all persons treated with AHSCT for MS at Uppsala University Hospital, Sweden, between 2004 and 2007 (n = 10), were asked to participate in the study, and all accepted. Open-ended interviews were conducted, digitally recorded, transcribed verbatim, and then subjected to qualitative content analysis with an inductive approach. Five main themes emerged from the interviews: (I) being diagnosed with MS-an unpredictable existence; (II) a new treatment-a possibility for a new life; (III) AHSCT-a transition; (IV) reclaiming life; and (V) a bright future accompanied by insecurity. AHSCT was described by the participants in terms of a second chance and an opportunity for a new life. The treatment became a transition from a state of illness to a state of health, enabling a previous profound uncertainty to wane and normality to be restored. Although participants of different age and sex were included, the main limitation of this study is the relatively small number of participants. Also, the inclusion of persons from one centre alone could restrict transferability of the results. CONCLUSIONS The results give a first insight into lived experience following a highly effective induction treatment for MS, and the experience of not having MS anymore. Underpinned by previously described outcome following AHSCT, the results of this study challenge the current view on MS as a chronic disease with no possible cure.
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Affiliation(s)
- Andreas Tolf
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
- Department of Neurology, Uppsala University Hospital, Uppsala, Sweden
| | - Helena Gauffin
- Department of Biomedical and Clinical Sciences (BKV), Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden
- Department of Neurology, Linköping University Hospital, Region Östergötland, Linköping, Sweden
| | - Joachim Burman
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
- Department of Neurology, Uppsala University Hospital, Uppsala, Sweden
| | - Anne-Marie Landtblom
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
- Department of Neurology, Uppsala University Hospital, Uppsala, Sweden
| | - Gullvi Flensner
- Department of Caring Sciences, University West, Trollhättan, Sweden
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Jakimovski D, Kavak KS, Coyle PK, Goodman AD, Gottesman M, Zivadinov R, Weinstock-Guttman B. Disease-modifying treatment, long-term outcomes and transition to progressive multiple sclerosis: data based on the New York State MS Consortium. J Neurol 2024; 271:711-722. [PMID: 37995009 DOI: 10.1007/s00415-023-12099-x] [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: 07/07/2023] [Revised: 10/01/2023] [Accepted: 11/03/2023] [Indexed: 11/24/2023]
Abstract
BACKGROUND The impact of disease-modifying treatments (DMTs) on multiple sclerosis (MS) long-term outcomes is continuously evolving. Retrospective analyses of large and long-term registries could provide information regarding general disease trajectories and risk factors that are commonly not investigated in shorter clinical trial settings. METHODS Retrospective observational study of people with MS (pwMS) registered in New York State MS Consortium (NYSMSC) since 1996. Disability outcomes of reaching sustained Expanded Disability Status Scale (EDSS) scores of 4.0, 6.0 and transition to secondary-progressive MS (SPMS) were confirmed at follow-up. Four DMT categories were determined (1) continuous DMT use, (2) discontinued DMT, (3) (re)started DMT and (4) never treated with DMT. Patient-reported outcomes (PRO) were acquired using LIFEware system. Kaplan-Meier survival curves and adjusted analysis of covariance (ANCOVA) were used to determine the rate and factors related to disability progression. RESULTS Total of 1893 pwMS were included with baseline average age of 43.2 years (SD = 10.4), 9.6 years of disease duration (SD = 8.8), median EDSS of 3.0 (IQR 2.0-3.5) and average follow-up time of 6.9 years (SD = 4.9). In addition to being male, older, more disabled and reporting worse PROs at baseline, pwMS who discontinued DMT had more than 5.5 times greater risk of reaching sustained EDSS of 4.0 (OR = 5.56, 95% CI 2.78-11.0, p < 0.001). Similarly, pwMS who discontinued DMT during the NYSMSC follow-up had 3.8- and 4.7-times greater risk to reach sustained EDSS 6.0 (OR = 3.86, 95% CI 2.12-7.02, p < 0.001), and to transition to SPMS (OR = 4.77, 95% CI 2.9-7.87, p < 0.001). Propensity matching analysis confirmed the worse clinical outcomes. CONCLUSIONS In addition to known predictors of long-term clinical outcomes, pwMS who discontinue DMT have worse long-term disability trajectory when compared to both early and late DMT starters. PRO-based indicators may suggest worse clinical outcomes.
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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, State University of New York, 1010 Main Street, Buffalo, NY, 14202, USA
| | - Katelyn S Kavak
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 1010 Main Street, Buffalo, NY, 14202, USA
| | - Patricia K Coyle
- Department of Neurology, Renaissance School of Medicine, Stony Brook, NY, USA
| | - Andrew D Goodman
- Department of Neurology, University of Rochester, Rochester, 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, State University of New York, 1010 Main Street, Buffalo, NY, 14202, USA.
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Le HH, Ken-Opurum J, LaPrade A, Maculaitis MC, Sheehan JJ. Exploring humanistic burden of fatigue in adults with multiple sclerosis: an analysis of US National Health and Wellness Survey data. BMC Neurol 2024; 24:51. [PMID: 38297247 PMCID: PMC10832085 DOI: 10.1186/s12883-023-03423-z] [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: 08/29/2022] [Accepted: 10/05/2023] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND This retrospective study examined the humanistic burden of fatigue in patients with relapsing-remitting multiple sclerosis (RRMS), compared with adults without MS, using data from the 2017 and 2019 US National Health and Wellness Survey. METHODS The 5-item Modified Fatigue Impact Scale (MFIS-5) was used to assess level of fatigue (MFIS-5 score <15: low fatigue [LF]; MFIS-5 score ≥15: high fatigue [HF]) in patients with RRMS. Health-related quality of life (HRQoL) measures (Short Form 36-Item Health Survey version 2, Euroqol-5 Dimensions-5 Levels [EQ-5D-5L], Patient Health Questionnaire-9 [PHQ-9], Generalized Anxiety Disorder-7 [GAD-7], Perceived Deficits Questionnaire-5) and treatment-related characteristics were assessed. RESULTS In total, 498 respondents were identified as RRMS (n=375 RRMS+LF, n=123 RRMS+HF) and compared with 1,494 matched non-MS controls. RRMS+LF and RRMS+HF had significantly lower Short Form 6 Dimensions health utility, Mental and Physical Component Summary, and EQ-5D-5L scores and higher PHQ-9 and GAD-7 scores, compared with matched non-MS controls (all p<0.001); scores were worse for RRMS+HF than RRMS+LF across all measures (all p<0.001). A higher proportion of RRMS+HF reported moderate-to-severe depression and moderate-to-severe anxiety, compared with RRMS+LF and matched non-MS controls (both p<0.001). Fatigue was a significant predictor of poor HRQoL across all measures (all p<0.001). CONCLUSIONS Patients with RRMS experienced lower HRQoL with higher levels of fatigue, highlighting an unmet need. Results may help to inform physician-patient communication and shared decision-making to address fatigue and its associated impact on patients' HRQoL.
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Affiliation(s)
- Hoa H Le
- Janssen Scientific Affairs, LLC, Titusville, NJ, USA.
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Bou Rjeily N, Mowry EM, Ontaneda D, Carlson AK. Highly Effective Therapy Versus Escalation Approaches in Early Multiple Sclerosis: What Is the Future of Multiple Sclerosis Treatment? Neurol Clin 2024; 42:185-201. [PMID: 37980115 DOI: 10.1016/j.ncl.2023.06.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2023]
Abstract
Treatment options for patients newly diagnosed with multiple sclerosis (MS) are expanding with the continuous development and approval of new disease-modifying therapies (DMTs). The optimal initial treatment strategy, however, remains unclear. The 2 main treatment paradigms currently employed are the escalation (ESC) approach and the early highly effective treatment (EHT) approach. The ESC approach consists of starting a lower- or moderate-efficacy DMT, which offers a potentially safer approach, while the EHT approach favors higher-efficacy treatment early in the disease course, despite a potential increase in risk. Randomized clinical trials aiming to directly compare these approaches in newly diagnosed MS patients are currently underway.
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Affiliation(s)
- Nicole Bou Rjeily
- Department of Neurology, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Pathology 627, Baltimore, MD 21287, USA
| | - Ellen M Mowry
- Department of Neurology, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Pathology 627, Baltimore, MD 21287, USA; Department of Epidemiology, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Pathology 627, Baltimore, MD 21287, USA
| | - Daniel Ontaneda
- Cleveland Clinic Mellen Center, 9500 Euclid Avenue U10, Cleveland, OH 44195, USA
| | - Alise K Carlson
- Cleveland Clinic Mellen Center, 9500 Euclid Avenue U10, Cleveland, OH 44195, USA.
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Cuerda-Ballester M, Bustos A, Sancho-Cantus D, Martínez-Rubio D, Privado J, Alarcón-Jiménez J, Villarón-Casales C, de Bernardo N, Navarro Illana E, de la Rubia Ortí JE. Predictive Model of Anxiety and Depression Perception in Multiple Sclerosis Patients: Possible Implications for Clinical Treatment. Bioengineering (Basel) 2024; 11:100. [PMID: 38275580 PMCID: PMC10813122 DOI: 10.3390/bioengineering11010100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024] Open
Abstract
Multiple Sclerosis (MS) is a neurodegenerative disease characterized by motor and non-motor symptoms, including emotional distress, anxiety, and depression. These emotional symptoms currently have a pharmacological treatment with limited effectiveness; therefore, it is necessary to delve into their relationship with other psychological, functional, or prefrontal alterations. Additionally, exploring non-pharmacological therapeutic alternatives that have shown benefits in addressing emotional distress in MS patients is essential. AIM To establish a predictive model for the presence of anxiety and depression in MS patients, based on variables such as psychological well-being, functional activity, and prefrontal symptoms. Additionally, this study aimed to propose non-pharmacological therapeutic alternatives based on this model. MATERIALS AND METHODS A descriptive, observational, and cross-sectional study was conducted with a sample of 64 diagnosed MS patients who underwent functional and cognitive assessments using the following questionnaires and scales: Functional Activities Questionnaire (FAQ), Acceptance and Action Questionnaire (AAQ-II), Experiences Questionnaire (EQ), Self-Compassion Scale Short Form (SCS-SF), Beck Depression Inventory II (BDI-II), State-Trait Anxiety Inventory (STAI), and Prefrontal Symptoms Inventory (PSI). RESULTS The model showed an excellent fit to the data and indicated that psychological well-being was the most significant predictor of the criteria (β = -0.83), followed by functional activity (β = -0.18) and prefrontal symptoms (β = 0.15). The latter two are negatively related to psychological well-being (β = -0.16 and β = -0.75, respectively). CONCLUSIONS Low psychological well-being is the variable that most significantly predicts the presence of anxiety and depression in MS patients, followed by functional activity and prefrontal alterations. Interventions based on mindfulness and acceptance are recommended, along with nutritional interventions such as antioxidant-enriched ketogenic diets and moderate group physical exercise.
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Affiliation(s)
| | - Antonio Bustos
- Physical Therapy Clinic, Antonio Bustos, 46007 Valencia, Spain;
| | - David Sancho-Cantus
- Department of Nursing, Catholic University San Vicente Mártir, 46001 Valencia, Spain; (N.d.B.); (J.E.d.l.R.O.)
| | - David Martínez-Rubio
- Department of Nursing and Physiotherapy, University of Lleida, 25006 Lleida, Spain
- Department of Psychology, European University of Valencia, 46010 Valencia, Spain
| | - Jesús Privado
- Department of Methodology of Behavioral Sciences, Universidad Complutense de Madrid, Campus de Somosaguas, Pozuelo de Alarcón, 28223 Madrid, Spain;
| | - Jorge Alarcón-Jiménez
- Department of Physiotherapy, Universidad Católica de Valencia, 46900 Valencia, Spain;
| | - Carlos Villarón-Casales
- Biomechanics & Physiotherapy in Sports (BIOCAPS), Faculty of Health Sciences, European University of Valencia, 46001 Valencia, Spain;
| | - Nieves de Bernardo
- Department of Nursing, Catholic University San Vicente Mártir, 46001 Valencia, Spain; (N.d.B.); (J.E.d.l.R.O.)
| | - Esther Navarro Illana
- Department of Nursing, Catholic University San Vicente Mártir, 46001 Valencia, Spain; (N.d.B.); (J.E.d.l.R.O.)
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Jakimovski D, Bittner S, Zivadinov R, Morrow SA, Benedict RH, Zipp F, Weinstock-Guttman B. Multiple sclerosis. Lancet 2024; 403:183-202. [PMID: 37949093 DOI: 10.1016/s0140-6736(23)01473-3] [Citation(s) in RCA: 135] [Impact Index Per Article: 135.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 06/08/2023] [Accepted: 07/12/2023] [Indexed: 11/12/2023]
Abstract
Multiple sclerosis remains one of the most common causes of neurological disability in the young adult population (aged 18-40 years). Novel pathophysiological findings underline the importance of the interaction between genetics and environment. Improvements in diagnostic criteria, harmonised guidelines for MRI, and globalised treatment recommendations have led to more accurate diagnosis and an earlier start of effective immunomodulatory treatment than previously. Understanding and capturing the long prodromal multiple sclerosis period would further improve diagnostic abilities and thus treatment initiation, eventually improving long-term disease outcomes. The large portfolio of currently available medications paved the way for personalised therapeutic strategies that will balance safety and effectiveness. Incorporation of cognitive interventions, lifestyle recommendations, and management of non-neurological comorbidities could further improve quality of life and outcomes. Future challenges include the development of medications that successfully target the neurodegenerative aspect of the disease and creation of sensitive imaging and fluid biomarkers that can effectively predict and monitor disease changes.
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Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA; Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA; Center for Biomedical Imaging at the Clinical Translational Science Institute, State University of New York at Buffalo, Buffalo, NY, USA
| | - Sarah A Morrow
- Department of Clinical Neurological Sciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Ralph Hb Benedict
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
| | - Bianca Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA.
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Spelman T, Herring WL, Acosta C, Hyde R, Jokubaitis VG, Pucci E, Lugaresi A, Laureys G, Havrdova EK, Horakova D, Izquierdo G, Eichau S, Ozakbas S, Alroughani R, Kalincik T, Duquette P, Girard M, Petersen T, Patti F, Csepany T, Granella F, Grand'Maison F, Ferraro D, Karabudak R, Jose Sa M, Trojano M, van Pesch V, Van Wijmeersch B, Cartechini E, McCombe P, Gerlach O, Spitaleri D, Rozsa C, Hodgkinson S, Bergamaschi R, Gouider R, Soysal A, Castillo-Triviño, Prevost J, Garber J, de Gans K, Ampapa R, Simo M, Sanchez-Menoyo JL, Iuliano G, Sas A, van der Walt A, John N, Gray O, Hughes S, De Luca G, Onofrj M, Buzzard K, Skibina O, Terzi M, Slee M, Solaro C, Oreja-Guevara, Ramo-Tello C, Fragoso Y, Shaygannejad V, Moore F, Rajda C, Aguera Morales E, Butzkueven H. Comparative effectiveness and cost-effectiveness of natalizumab and fingolimod in rapidly evolving severe relapsing-remitting multiple sclerosis in the United Kingdom. J Med Econ 2024; 27:109-125. [PMID: 38085684 DOI: 10.1080/13696998.2023.2293379] [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: 07/28/2023] [Accepted: 12/07/2023] [Indexed: 12/23/2023]
Abstract
AIM To evaluate the real-world comparative effectiveness and the cost-effectiveness, from a UK National Health Service perspective, of natalizumab versus fingolimod in patients with rapidly evolving severe relapsing-remitting multiple sclerosis (RES-RRMS). METHODS Real-world data from the MSBase Registry were obtained for patients with RES-RRMS who were previously either naive to disease-modifying therapies or had been treated with interferon-based therapies, glatiramer acetate, dimethyl fumarate, or teriflunomide (collectively known as BRACETD). Matched cohorts were selected by 3-way multinomial propensity score matching, and the annualized relapse rate (ARR) and 6-month-confirmed disability worsening (CDW6M) and improvement (CDI6M) were compared between treatment groups. Comparative effectiveness results were used in a cost-effectiveness model comparing natalizumab and fingolimod, using an established Markov structure over a lifetime horizon with health states based on the Expanded Disability Status Scale. Additional model data sources included the UK MS Survey 2015, published literature, and publicly available sources. RESULTS In the comparative effectiveness analysis, we found a significantly lower ARR for patients starting natalizumab compared with fingolimod (rate ratio [RR] = 0.65; 95% confidence interval [CI], 0.57-0.73) or BRACETD (RR = 0.46; 95% CI, 0.42-0.53). Similarly, CDI6M was higher for patients starting natalizumab compared with fingolimod (hazard ratio [HR] = 1.25; 95% CI, 1.01-1.55) and BRACETD (HR = 1.46; 95% CI, 1.16-1.85). In patients starting fingolimod, we found a lower ARR (RR = 0.72; 95% CI, 0.65-0.80) compared with starting BRACETD, but no difference in CDI6M (HR = 1.17; 95% CI, 0.91-1.50). Differences in CDW6M were not found between the treatment groups. In the base-case cost-effectiveness analysis, natalizumab dominated fingolimod (0.302 higher quality-adjusted life-years [QALYs] and £17,141 lower predicted lifetime costs). Similar cost-effectiveness results were observed across sensitivity analyses. CONCLUSIONS This MSBase Registry analysis suggests that natalizumab improves clinical outcomes when compared with fingolimod, which translates to higher QALYs and lower costs in UK patients with RES-RRMS.
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Affiliation(s)
- T Spelman
- MSBase Foundation, Melbourne, VIC, Australia
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - W L Herring
- Health Economics, RTI Health Solutions, NC, USA
- Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - C Acosta
- Value and Access, Biogen, Baar, Switzerland
| | - R Hyde
- Medical, Biogen, Baar, Switzerland
| | - V G Jokubaitis
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - E Pucci
- Neurology Unit, AST-Fermo, Fermo, Italy
| | - A Lugaresi
- Dipartamento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
| | - G Laureys
- Department of Neurology, University Hospital Ghent, Ghent, Belgium
| | - E K Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - D Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - G Izquierdo
- Department of Neurology, Hospital Universitario Virgen Macarena, Seville, Spain
| | - S Eichau
- Department of Neurology, Hospital Universitario Virgen Macarena, Seville, Spain
| | - S Ozakbas
- Izmir University of Economics, Medical Point Hospital, Izmir, Turkey
| | - R Alroughani
- Division of Neurology, Department of Medicine, Amiri Hospital, Sharq, Kuwait
| | - T Kalincik
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia
- CORe, Department of Medicine, University of Melbourne, Melbourne, Australia
| | - P Duquette
- CHUM and Universite de Montreal, Montreal, Canada
| | - M Girard
- CHUM and Universite de Montreal, Montreal, Canada
| | - T Petersen
- Aarhus University Hospital, Arhus C, Denmark
| | - F Patti
- Department of Medical and Surgical Sciences and Advanced Technologies, GF Ingrassia, Catania, Italy
- UOS Sclerosi Multipla, AOU Policlinico "G Rodloico-San Marco", University of Catania, Italy
| | - T Csepany
- Department of Neurology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - F Granella
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Department of General Medicine, Parma University Hospital, Parma, Italy
| | | | - D Ferraro
- Department of Neuroscience, Azienda Ospedaliera Universitaria, Modena, Italy
| | | | - M Jose Sa
- Department of Neurology, Centro Hospitalar Universitario de Sao Joao, Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, Porto, Portugal
| | - M Trojano
- School of Medicine, University of Bari, Bari, Italy
| | - V van Pesch
- Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Université Catholique de Louvain, Belgium
| | - B Van Wijmeersch
- University MS Centre, Hasselt-Pelt and Noorderhart Rehabilitation & MS, Pelt and Hasselt University, Hasselt, Belgium
| | | | - P McCombe
- University of Queensland, Brisbane, Australia
- Royal Brisbane and Women's Hospital, Herston, Australia
| | - O Gerlach
- Academic MS Center Zuyd, Department of Neurology, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
- School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - D Spitaleri
- Azienda Ospedaliera di Rilievo Nazionale San Giuseppe Moscati Avellino, Avellino, Italy
| | - C Rozsa
- Jahn Ferenc Teaching Hospital, Budapest, Hungary
| | - S Hodgkinson
- Immune Tolerance Laboratory Ingham Institute and Department of Medicine, UNSW, Sydney, Australia
| | | | - R Gouider
- Department of Neurology, LR18SP03 and Clinical Investigation Center Neurosciences and Mental Health, Razi University Hospital -, Mannouba, Tunis, Tunisia
- Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - A Soysal
- Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul, Turkey
| | - Castillo-Triviño
- Hospital Universitario Donostia and IIS Biodonostia, San Sebastián, Spain
| | - J Prevost
- CSSS Saint-Jérôme, Saint-Jerome, Canada
| | - J Garber
- Westmead Hospital, Sydney, Australia
| | - K de Gans
- Groene Hart Ziekenhuis, Gouda, Netherlands
| | - R Ampapa
- Nemocnice Jihlava, Jihlava, Czech Republic
| | - M Simo
- Department of Neurology, Semmelweis University Budapest, Budapest, Hungary
| | - J L Sanchez-Menoyo
- Department of Neurology, Galdakao-Usansolo University Hospital, Osakidetza Basque Health Service, Galdakao, Spain
- Biocruces-Bizkaia Health Research Institute, Spain
| | - G Iuliano
- Ospedali Riuniti di Salerno, Salerno, Italy
| | - A Sas
- Department of Neurology and Stroke, BAZ County Hospital, Miskolc, Hungary
| | - A van der Walt
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
- Department of Neurology, The Alfred Hospital, Melbourne, Australia
| | - N John
- Monash University, Clayton, Australia
- Department of Neurology, Monash Health, Clayton, Australia
| | - O Gray
- South Eastern HSC Trust, Belfast, United Kingdom
| | - S Hughes
- Royal Victoria Hospital, Belfast, United Kingdom
| | - G De Luca
- MS Centre, Neurology Unit, "SS. Annunziata" University Hospital, University "G. d'Annunzio", Chieti, Italy
| | - M Onofrj
- Department of Neuroscience, Imaging, and Clinical Sciences, University G. d'Annunzio, Chieti, Italy
| | - K Buzzard
- Department of Neurosciences, Box Hill Hospital, Melbourne, Australia
- Monash University, Melbourne, Australia
- MS Centre, Royal Melbourne Hospital, Melbourne, Australia
| | - O Skibina
- Department of Neurology, The Alfred Hospital, Melbourne, Australia
- Monash University, Melbourne, Australia
- Department of Neurology, Box Hill Hospital, Melbourne, Australia
| | - M Terzi
- Medical Faculty, 19 Mayis University, Samsun, Turkey
| | - M Slee
- Flinders University, Adelaide, Australia
| | - C Solaro
- Department of Neurology, ASL3 Genovese, Genova, Italy
- Department of Rehabilitation, ML Novarese Hospital Moncrivello
| | - Oreja-Guevara
- Department of Neurology, Hospital Clinico San Carlos, Madrid, Spain
| | - C Ramo-Tello
- Department of Neuroscience, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Y Fragoso
- Universidade Metropolitana de Santos, Santos, Brazil
| | | | - F Moore
- Department of Neurology, McGill University, Montreal, Canada
| | - C Rajda
- Department of Neurology, University of Szeged, Szeged, Hungary
| | - E Aguera Morales
- Department of Medicine and Surgery, University of Cordoba, Cordoba, Spain
- Maimonides Biomedical Research Institute of Cordoba (IMIBIC)
| | - H Butzkueven
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
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Kessler W, Thomas C, Kuhlmann T. Microglia activation in periplaque white matter in multiple sclerosis depends on age and lesion type, but does not correlate with oligodendroglial loss. Acta Neuropathol 2023; 146:817-828. [PMID: 37897549 PMCID: PMC10628007 DOI: 10.1007/s00401-023-02645-2] [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: 04/14/2023] [Revised: 10/05/2023] [Accepted: 10/05/2023] [Indexed: 10/30/2023]
Abstract
Multiple sclerosis (MS) is the most frequent inflammatory and demyelinating disease of the CNS. The disease course in MS is highly variable and driven by a combination of relapse-driven disease activity and relapse-independent disease progression. The formation of new focal demyelinating lesions is associated with clinical relapses; however, the pathological mechanisms driving disease progression are less well understood. Current concepts suggest that ongoing focal and diffuse inflammation within the CNS in combination with an age-associated failure of compensatory and repair mechanisms contribute to disease progression. The aim of our study was to characterize the diffuse microglia activation in periplaque white matter (PPWM) of MS patients, to identify factors modulating its extent and to determine its potential correlation with loss or preservation of oligodendrocytes. We analyzed microglial and oligodendroglial numbers in PPWM in a cohort of 96 tissue blocks from 32 MS patients containing 100 lesions as well as a control cohort (n = 37). Microglia activation in PPWM was dependent on patient age, proximity to lesion, lesion type, and to a lesser degree on sex. Oligodendrocyte numbers were decreased in PPWM; however, increased microglia densities did not correlate with lower oligodendroglial cell counts, indicating that diffuse microglia activation is not sufficient to drive oligodendroglial loss in PPWM. In summary, our findings support the notion of the close relationship between focal and diffuse inflammation in MS and that age is an important modulator of MS pathology.
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Affiliation(s)
- Wiebke Kessler
- Institute of Neuropathology, University Hospital Münster, Pottkamp 2, 48149, Münster, Germany
| | - Christian Thomas
- Institute of Neuropathology, University Hospital Münster, Pottkamp 2, 48149, Münster, Germany
| | - Tanja Kuhlmann
- Institute of Neuropathology, University Hospital Münster, Pottkamp 2, 48149, Münster, Germany.
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Blok KM, van Rosmalen J, Tebayna N, Smolders J, Wokke B, de Beukelaar J. Disease activity in primary progressive multiple sclerosis: a systematic review and meta-analysis. Front Neurol 2023; 14:1277477. [PMID: 38020591 PMCID: PMC10661414 DOI: 10.3389/fneur.2023.1277477] [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: 08/14/2023] [Accepted: 10/11/2023] [Indexed: 12/01/2023] Open
Abstract
Background Disease activity in multiple sclerosis (MS) is defined as presence of relapses, gadolinium enhancing lesions and/or new or enlarging lesions on MRI. It is associated with efficacy of immunomodulating therapies (IMTs) in primary progressive MS (PPMS). However, a thorough review on disease activity in PPMS is lacking. In relapsing remitting MS, the prevalence of activity decreases in more contemporary cohorts. For PPMS, this is unknown. Aim To review disease activity in PPMS cohorts and identify its predictors. Methods A systematic search in EMBASE, MEDLINE, Web of science Core Collection, COCHRANE CENTRAL register of trials, and GOOGLE SCHOLAR was performed. Keywords included PPMS, inflammation, and synonyms. We included original studies with predefined available data, extracted cohort characteristics and disease activity outcomes and performed meta-regression analyses. Results We included 34 articles describing 7,109 people with PPMS (pwPPMS). The weighted estimated proportion of pwPPMS with overall disease activity was 26.8% (95% CI 20.6-34.0%). A lower age at inclusion predicted higher disease activity (OR 0.91, p = 0.031). Radiological activity (31.9%) was more frequent than relapses (9.2%), and was predicted by longer follow-up duration (OR 1.27, p = 0.033). Year of publication was not correlated with disease activity. Conclusion Inflammatory disease activity is common in PPMS and has remained stable over the last decades. Age and follow-up duration predict disease activity, advocating prolonged monitoring of young pwPPMS to evaluate potential IMT benefits.
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Affiliation(s)
- Katelijn M. Blok
- Department of Neurology, Albert Schweitzer Hospital, Dordrecht, Netherlands
- Department of Neurology, MS Center ErasMS, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Joost van Rosmalen
- Department of Biostatistics, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Nura Tebayna
- Department of Neurology, Albert Schweitzer Hospital, Dordrecht, Netherlands
| | - Joost Smolders
- Department of Neurology, MS Center ErasMS, Erasmus University Medical Center, Rotterdam, Netherlands
- Department of Immunology, MS Center ErasMS, Erasmus University Medical Center, Rotterdam, Netherlands
- Neuroimmunology Researchgroup, Netherlands Institute for Neuroscience, Amsterdam, Netherlands
| | - Beatrijs Wokke
- Department of Neurology, MS Center ErasMS, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Janet de Beukelaar
- Department of Neurology, Albert Schweitzer Hospital, Dordrecht, Netherlands
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50
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Harding-Forrester S, Roos I, Nguyen AL, Malpas CB, Diouf I, Moradi N, Sharmin S, Izquierdo G, Eichau S, Patti F, Horakova D, Kubala Havrdova E, Prat A, Girard M, Duquette P, Grand'Maison F, Onofrj M, Lugaresi A, Grammond P, Ozakbas S, Amato MP, Gerlach O, Sola P, Ferraro D, Buzzard K, Skibina O, Lechner-Scott J, Alroughani R, Boz C, Van Pesch V, Cartechini E, Terzi M, Maimone D, Ramo-Tello C, Yamout B, Khoury SJ, La Spitaleri D, Sa MJ, Blanco Y, Granella F, Slee M, Butler E, Sidhom Y, Gouider R, Bergamaschi R, Karabudak R, Ampapa R, Sánchez-Menoyo JL, Prevost J, Castillo-Trivino T, McCombe PA, Macdonell R, Laureys G, Van Hijfte L, Oh J, Altintas A, de Gans K, Turkoglu R, van der Walt A, Butzkueven H, Vucic S, Barnett M, Cristiano E, Hodgkinson S, Iuliano G, Kappos L, Kuhle J, Shaygannejad V, Soysal A, Weinstock-Guttman B, Van Wijmeersch B, Kalincik T. Disability accrual in primary and secondary progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 2023; 94:707-717. [PMID: 37068931 DOI: 10.1136/jnnp-2022-330726] [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: 11/09/2022] [Accepted: 03/29/2023] [Indexed: 04/19/2023]
Abstract
BACKGROUND Some studies comparing primary and secondary progressive multiple sclerosis (PPMS, SPMS) report similar ages at onset of the progressive phase and similar rates of subsequent disability accrual. Others report later onset and/or faster accrual in SPMS. Comparisons have been complicated by regional cohort effects, phenotypic differences in sex ratio and management and variable diagnostic criteria for SPMS. METHODS We compared disability accrual in PPMS and operationally diagnosed SPMS in the international, clinic-based MSBase cohort. Inclusion required PPMS or SPMS with onset at age ≥18 years since 1995. We estimated Andersen-Gill hazard ratios for disability accrual on the Expanded Disability Status Scale (EDSS), adjusted for sex, age, baseline disability, EDSS score frequency and drug therapies, with centre and patient as random effects. We also estimated ages at onset of the progressive phase (Kaplan-Meier) and at EDSS milestones (Turnbull). Analyses were replicated with physician-diagnosed SPMS. RESULTS Included patients comprised 1872 with PPMS (47% men; 50% with activity) and 2575 with SPMS (32% men; 40% with activity). Relative to PPMS, SPMS had older age at onset of the progressive phase (median 46.7 years (95% CI 46.2-47.3) vs 43.9 (43.3-44.4); p<0.001), greater baseline disability, slower disability accrual (HR 0.86 (0.78-0.94); p<0.001) and similar age at wheelchair dependence. CONCLUSIONS We demonstrate later onset of the progressive phase and slower disability accrual in SPMS versus PPMS. This may balance greater baseline disability in SPMS, yielding convergent disability trajectories across phenotypes. The different rates of disability accrual should be considered before amalgamating PPMS and SPMS in clinical trials.
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Affiliation(s)
- Sam Harding-Forrester
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Izanne Roos
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Ai-Lan Nguyen
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Charles B Malpas
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Ibrahima Diouf
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Nahid Moradi
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Sifat Sharmin
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Guillermo Izquierdo
- Multiple Sclerosis Unit, Hospital Universitario Virgen Macarena, Sevilla, Andalucía, Spain
| | - Sara Eichau
- Multiple Sclerosis Unit, Hospital Universitario Virgen Macarena, Sevilla, Andalucía, Spain
| | - Francesco Patti
- Neuroscience, Department of Surgical and Medical Sciences and Advanced Technologies 'G.F. Ingrassia', University of Catania, Catania, Italy
| | - Dana Horakova
- Department of Neurology and Centre of Clinical Neuroscience, Charles University First Faculty of Medicine, Praha, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Centre of Clinical Neuroscience, Charles University First Faculty of Medicine, Praha, Czech Republic
| | - Alexandre Prat
- Centre Hospitalier, Université de Montréal, Montreal, Québec, Canada
- Department of Neuroscience, Université de Montréal, Montreal, Québec, Canada
| | - Marc Girard
- Centre Hospitalier, Université de Montréal, Montreal, Québec, Canada
- Faculté de Médecine, Université de Montréal, Montreal, Québec, Canada
| | - Pierre Duquette
- Centre Hospitalier, Université de Montréal, Montreal, Québec, Canada
- Faculté de Médecine, Université de Montréal, Montreal, Québec, Canada
| | | | - Marco Onofrj
- Department of Neurosciences, Imaging and Clinical Sciences, Gabriele d'Annunzio University of Chieti-Pescara, Chieti, Italy
| | - Alessandra Lugaresi
- UOSI Riabilitazione Sclerosi Multipla, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
- Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
| | - Pierre Grammond
- Centre intégré de santé et de services sociaux de Chaudière-Appalaches du Québec Centre de Recherche, Levis, Québec, Canada
| | - Serkan Ozakbas
- Department of Neurology, Dokuz Eylul University, İzmir, Turkey
| | - Maria Pia Amato
- Department of Neurological Siences, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Oliver Gerlach
- Department of Neurology, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands
| | - Patrizia Sola
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, Modena, Italy
| | - Diana Ferraro
- Department of Neuroscience, Azienda Ospedaliero-Universitaria di Modena, Modena, Emilia-Romagna, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Katherine Buzzard
- Department of Neurology, Box Hill Hospital, Box Hill, Victoria, Australia
| | - Olga Skibina
- Department of Neurology, Box Hill Hospital, Box Hill, Victoria, Australia
| | - Jeannette Lechner-Scott
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Raed Alroughani
- Department of Medicine, Al-Amiri Hospital, Kuwait City, Kuwait
| | - Cavit Boz
- Department of Neurology, Karadeniz Technical University, Trabzon, Turkey
| | - Vincent Van Pesch
- Department of Neurology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | | | | | | | - Cristina Ramo-Tello
- Department of Neurosciences, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain
| | - Bassem Yamout
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
- Department of Neurology, American University of Beirut, Beirut, Lebanon
| | - Samia Joseph Khoury
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
- American University of Beirut, Beirut, Lebanon
| | | | - Maria Jose Sa
- Department of Neurology, Centro Hospitalar de São João, Porto, Portugal
- Health Sciences Faculty, Fernando Pessoa University, Porto, Portugal
| | - Yolanda Blanco
- Hospital Clinic de Barcelona, Barcelona, Catalunya, Spain
| | - Franco Granella
- Multiple Sclerosis Centre, Neurosciences, University of Parma, Parma, Italy
| | - Mark Slee
- Department of Neurology, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Ernest Butler
- Department of Neurology, Monash Medical Centre Clayton, Clayton, Victoria, Australia
| | - Youssef Sidhom
- Department of Neurology, Hopital Razi, La Manouba, Tunisia
| | - Riadh Gouider
- Department of Neurology, Razi Hospital, Rasht, Gilan, Iran
| | | | - Rana Karabudak
- Department of Neurology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Radek Ampapa
- Department of Neurology, Nemocnice Jihlava, Jihlava, Czech Republic
| | | | - Julie Prevost
- Centre integre de sante et de services sociaux des Laurentides point de service de Saint-Jerome, Saint-Jerome, Quebec, Canada
| | | | - Pamela A McCombe
- UQCCR, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Richard Macdonell
- Department of Neurology, Austin Health, Heidelberg, Victoria, Australia
| | - Guy Laureys
- Department of Neurology, University Hospital Ghent, Gent, Oost-Vlaanderen, Belgium
| | - Liesbeth Van Hijfte
- Department of Neurology, University Hospital Ghent, Gent, Oost-Vlaanderen, Belgium
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, St Michael's Hospital, Toronto, Ontario, Canada
| | - Ayse Altintas
- Department of Neurology, Koc Universitesi, Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Koen de Gans
- Department of Neurology, Groene Hart Ziekenhuis, Gouda, Zuid-Holland, The Netherlands
| | - Recai Turkoglu
- Department of Neurology, Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey
| | - Anneke van der Walt
- Multiple Sclerosis and Neuroimmunology Unit, Monash University Central Clinical School, Melbourne, Victoria, Australia
| | - Helmut Butzkueven
- Department of Neuroscience, Monash University Central Clinical School, Melbourne, Victoria, Australia
- Department of Neurology, The Alfred, Melbourne, Victoria, Australia
| | - Steve Vucic
- Department of Neurology, Westmead Hospital, Westmead, New South Wales, Australia
| | - Michael Barnett
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Edgardo Cristiano
- Centro de Esclerosis Múltiple de Buenos Aires, Hospital Italiano de Buenos Aires, Buenos Aires, Federal District, Argentina
| | - Suzanne Hodgkinson
- Department of Neurology, Liverpool Hospital, Liverpool, New South Wales, Australia
| | | | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine, and Clinical Research, University Hospital Basel, Basel, Switzerland
- Research Centre for Clinical Neuroimmunology and Neuroscience, University Hospital Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine, and Clinical Research, University Hospital Basel, Basel, Switzerland
- Research Centre for Clinical Neuroimmunology and Neuroscience, University Hospital Basel, Basel, Switzerland
| | - Vahid Shaygannejad
- Department of Neurology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Aysun Soysal
- Department of Neurology, Bakirkoy Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
| | - Bianca Weinstock-Guttman
- Department of Neurology, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, USA
| | - Bart Van Wijmeersch
- Universitair MS Centrum, Hasselt University, Hasselt-Pelt, Belgium
- Rehabilitation & MS Centre, Pelt, Belgium
| | - Tomas Kalincik
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
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