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Vidal-Jordana A, Ontaneda D. To Kill Time: A Bold Step Toward Simplifying Multiple Sclerosis Diagnosis. Neurology 2025; 104:e213416. [PMID: 40036710 DOI: 10.1212/wnl.0000000000213416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Accepted: 12/23/2024] [Indexed: 03/06/2025] Open
Affiliation(s)
- Angela Vidal-Jordana
- Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Barcelona, Spain; and
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Department of Neurology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, OH
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Mirmosayyeb O, Yazdan Panah M, Moases Ghaffary E, Vaheb S, Mahmoudi F, Shaygannejad V, Lincoff N, Jakimovski D, Zivadinov R, Weinstock-Guttman B. The relationship between optical coherence tomography and magnetic resonance imaging measurements in people with multiple sclerosis: A systematic review and meta-analysis. J Neurol Sci 2025; 470:123401. [PMID: 39874745 DOI: 10.1016/j.jns.2025.123401] [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: 10/12/2024] [Revised: 01/19/2025] [Accepted: 01/20/2025] [Indexed: 01/30/2025]
Abstract
BACKGROUND Several studies show that optical coherence tomography (OCT) metrics e with cognition, disability, and brain structure in people with multiple sclerosis (PwMS). This review the correlation between OCT parameters and magnetic resonance imaging (MRI) measurements in PwMS. METHODS A comprehensive search of PubMed/MEDLINE, Embase, Scopus, and Web of Science was performed, including studies published in English up to November 29, 2024 to identify studies reporting quantitative data on the correlation between baseline OCT parameters and MRI measurements in PwMS. The meta-analysis was performed using R software version 4.4.0. RESULTS From 4931 studies, 68 studies on 6168 PwMS (67.4 % female) were included. The most significant correlations were found between peripapillary retinal nerve fiber layer (pRNFL) thickness and lower T1 lesion volume r = -0.42 (95 % CI: -0.52 to -0.31, p-value <0.001, I2 = 24 %), greater thalamic volume r = 0.39 (95 % CI: 0.17 to 0.61, p-value <0.001, I2 = 81 %), and lower T2 lesion volume r = -0.37 (95 % CI: -0.54 to -0.21, p-value <0.001, I2 = 85 %), respectively. Additionally, lower macular ganglion cell-inner plexiform layer (mGCIPL) thickness showed the most significant correlations with positive and lower thalamic volume r = 0.37 (95 % CI: 0.1 to 0.64, p-value = 0.008, I2 = 88 %), and positive and lower grey matter volume (GMV) 0.33 (95 % CI: 0.15 to 0.52, p-value <0.001, I2 = 81 %), respectively. CONCLUSION pRNFL and mGCIPL thickness are correlated with MRI measurements, suggesting that OCT can serve as a non-invasive, cost-effective, and complementary tool to MRI for enhancing the exploring of brain structural changes in PwMS.
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Affiliation(s)
- Omid Mirmosayyeb
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
| | - Mohammad Yazdan Panah
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Saeed Vaheb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Farhad Mahmoudi
- Department of Neurology, University of Miami, Miami, FL 33136, USA
| | - Vahid Shaygannejad
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Norah Lincoff
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Wynn Hospital, Mohawk Valley Health System, Utica, 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 the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
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Johansson E, Olsson T, Alfredsson L, Hedström AK. Impact of lifestyle factors post-infectious mononucleosis on multiple sclerosis risk. Eur J Epidemiol 2025:10.1007/s10654-025-01212-1. [PMID: 40038142 DOI: 10.1007/s10654-025-01212-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Accepted: 02/21/2025] [Indexed: 03/06/2025]
Abstract
BACKGROUND Accumulating evidence suggest that Epstein-Barr virus (EBV) is crucial in the development of multiple sclerosis (MS), with inadequate infection control possibly contributing to disease onset. Past infectious mononucleosis (IM) has been found to interact with smoking, obesity, and sun exposure. We aimed to investigate potential interactions between a history of IM and the following risk factors for MS: passive smoking, alcohol consumption, fish consumption, vitamin D status, adolescent sleep duration and sleep quality. METHODS We analyzed data from a Swedish population-based case-control study (3128 cases and 5986 controls). Subjects were categorized based on IM status and each exposure variable and compared regarding MS risk by calculating odds ratios (OR) with 95% confidence intervals (CI) using logistic regression models. Additive interaction between aspects of IM status and each exposure was assessed by calculating the attributable proportion due to interaction (AP) with 95% CI. RESULTS The OR of developing MS among those who reported a history of IM was 1.86 (95% CI 1.63-2.12), compared with those who had not suffered from IM. We observed synergistic effects between a history of IM and each exposure variable with respect to risk of MS, with significant APs ranging between 0.20 and 0.35. CONCLUSIONS The concept of EBV infection as a crucial factor for MS gains further support from our findings suggesting that MS risk factors synergize with a history of IM in disease development. Targeting modifiable MS risk factors that impede effective immune regulation of the virus holds promise for preventive interventions.
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Affiliation(s)
- Eva Johansson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Anna Karin Hedström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
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DiCillo EB, Kountikov E, Zhu M, Lanker S, Harlow DE, Piette ER, Zhang W, Hayward B, Heuler J, Korich J, Bennett JL, Pisetsky D, Tedder T. Patterns of autoantibody expression in multiple sclerosis identified through development of an autoantigen discovery technology. J Clin Invest 2025; 135:e171948. [PMID: 40026247 DOI: 10.1172/jci171948] [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: 08/14/2023] [Accepted: 01/08/2025] [Indexed: 03/05/2025] Open
Abstract
Multiple sclerosis (MS) is a debilitating autoimmune disease of the CNS, which is characterized by demyelination and axonal injury and frequently preceded by a demyelinating event called clinically isolated syndrome (CIS). Despite the importance of B cells and autoantibodies in MS pathology, their target specificities remain largely unknown. For an agnostic and comprehensive evaluation of autoantibodies in MS, we developed and employed what we believe to be a novel autoantigen discovery technology, the Antigenome Platform. This Platform is a high-throughput assay comprising large-fragment (approximately 100 amino acids) cDNA libraries, phage display, serum antibody screening technology, and robust bioinformatics analysis pipelines. For autoantibody discovery, we assayed serum samples from CIS patients who received either placebo or treatment who were enrolled in the REFLEX clinical trial, which assessed the effects of IFN-β-1a (Rebif) clinical and MRI activity in patients with CIS. Serum autoantibodies from patients with CIS were significantly and reproducibly enriched for known and previously unreported protein targets; 166 targets were selected by over 10% of patients' sera. Further, 10 autoantibody biomarkers associated with disease activity and 17 associated with patient response to IFN-β-1a therapy. These findings indicate widespread autoantibody production in MS and provide biomarkers for continued study and prediction of disease progression.
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Affiliation(s)
- Europe B DiCillo
- Department of Integrated Immunobiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Evgueni Kountikov
- Department of Integrated Immunobiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Minghua Zhu
- Department of Integrated Immunobiology, Duke University Medical Center, Durham, North Carolina, USA
| | | | | | | | - Weiguo Zhang
- Department of Integrated Immunobiology, Duke University Medical Center, Durham, North Carolina, USA
| | | | - Joshua Heuler
- Department of Integrated Immunobiology, Duke University Medical Center, Durham, North Carolina, USA
| | | | - Jeffrey L Bennett
- Departments of Neurology and Ophthalmology, Programs in Neurosciences and Immunology - University of Colorado Anschutz Medical Campus; Aurora, Colorado, USA
| | - David Pisetsky
- Department of Integrated Immunobiology, Duke University Medical Center, Durham, North Carolina, USA
- Department of Medicine, Duke University Medical Center and Medical Research Service, Veterans Administration Medical Center, Durham, North Carolina, USA
| | - Thomas Tedder
- Department of Integrated Immunobiology, Duke University Medical Center, Durham, North Carolina, USA
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Comabella M, Pappolla A, Monreal E, Fissolo N, Sao-Avilés AC, Arrambide G, Carbonell-Mirabent P, Gutierrez L, Cobo-Calvo Á, Tur C, Villacieros-Álvarez J, Vidal-Jordana Á, Castilló J, Galán I, Espiño M, Ariño H, Bollo L, Rodríguez Barranco M, Midaglia LS, Carvajal R, Villarrubia N, Fernández Velasco JI, Rodríguez Acevedo B, Costa Frossard LF, Vilaseca A, Auger C, Zabalza A, Sainz De La Maza S, Mongay-Ochoa N, Río J, Sastre-Garriga J, Rovira À, Tintoré M, Villar LM, Montalban X. Contribution of Blood Biomarkers to Multiple Sclerosis Diagnosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2025; 12:e200370. [PMID: 39879564 PMCID: PMC11781269 DOI: 10.1212/nxi.0000000000200370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2024] [Accepted: 12/16/2024] [Indexed: 01/31/2025]
Abstract
BACKGROUND AND OBJECTIVES Invasive procedures may delay the diagnostic process in multiple sclerosis (MS). We investigated the added value of serum neurofilament light chain (sNfL), glial fibrillary acidic protein (sGFAP), chitinase-3-like 1 (sCHI3L1), and the immune responses to the Epstein-Barr virus-encoded nuclear antigen 1 to current MS diagnostic criteria. METHODS In this multicentric study, we selected patients from 2 prospective cohorts presenting a clinically isolated syndrome (CIS). Patients were classified as (1) not presenting dissemination in space (DIS) nor dissemination in time (DIT) (noDIS and noDIT); (2) presenting DIS without DIT (DIS and noDIT); and (3) presenting both (DIS and DIT), which were used as a reference. sNfL, sGFAP, and sCHI3L1 levels were measured with single-molecule array immunoassays and EBNA1-specific IgG levels with ELISA. Biomarker levels were compared between groups using linear regression models. Receiver operating characteristic curve analyses and Youden Index were used to determine cutoff values associated with MS diagnosis during follow-up. RESULTS We included 181 patients (66.3% females, mean [SD] age of 35.0 [9.7] years). At baseline, 25 (13.8%) were classified as noDIS and noDIT, 62 (34.3%) as DIS and noDIT, and 94 (51.9%) as DIS and DIT. Only sNfL Z-scores discriminated between groups (DIS and DIT vs DIS and noDIT [p = 0.002], DIS and DIT vs noDIS and noDIT [p < 0.001], and DIS and noDIT vs noDIS and noDIT [p = 0.026]). In noDIS and noDIT patients (median interquartile range [IQR] follow-up of 8.1 [5.0-11.7] years), high sNfL Z-scores best predicted MS diagnosis (specificity [SP] and 95% CI of 93.3% [68.1-99.8] and positive predictive value [PPV] of 87.5% [47.3-99.7]). Among DIS and noDIT patients (median [IQR] follow-up of 6.8 [4.0-9.1] years), high sNfL Z-scores best predicted MS diagnosis (SP of 80% [28.4-99.5] and PPV of 97.3% [85.8-99.9]) without considering oligoclonal band (OB) status. In the subset of patients of this group with negative OBs, a combination of high sNfL Z-scores and sGFAP levels predicted MS diagnosis (SP of 100% [39.8-100] and PPV of 100% [54.1-100]). DISCUSSION These results suggest that sNfL and sGFAP may be incorporated in particular scenarios to diagnose MS in patients with CIS not fulfilling current diagnostic criteria.
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Affiliation(s)
- Manuel Comabella
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED)-ISCIII, Madrid, Spain
| | - Agustín Pappolla
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Enric Monreal
- Department of Neurology, Hospital Universitario Ramón y Cajal, REEM, IRYCIS, Universidad de Alcalá, Madrid, Spain
| | - Nicolás Fissolo
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED)-ISCIII, Madrid, Spain
| | - Augusto Cesaar Sao-Avilés
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Georgina Arrambide
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Pere Carbonell-Mirabent
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Lucía Gutierrez
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Álvaro Cobo-Calvo
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Carmen Tur
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED)-ISCIII, Madrid, Spain
| | - Javier Villacieros-Álvarez
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ángela Vidal-Jordana
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Joaquín Castilló
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ingrid Galán
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mercedes Espiño
- Departments of Neurology and Immunology, Instituto Ramón y Cajal de Investigación Sanitaria, Hospital Universitario Ramón y Cajal, Madrid, Spain; and
| | - Helena Ariño
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Luca Bollo
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Rodríguez Barranco
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Luciana Soledad Midaglia
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - René Carvajal
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Noelia Villarrubia
- Departments of Neurology and Immunology, Instituto Ramón y Cajal de Investigación Sanitaria, Hospital Universitario Ramón y Cajal, Madrid, Spain; and
| | - José Ignacio Fernández Velasco
- Departments of Neurology and Immunology, Instituto Ramón y Cajal de Investigación Sanitaria, Hospital Universitario Ramón y Cajal, Madrid, Spain; and
| | - Breogán Rodríguez Acevedo
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Lucienne F Costa Frossard
- Departments of Neurology and Immunology, Instituto Ramón y Cajal de Investigación Sanitaria, Hospital Universitario Ramón y Cajal, Madrid, Spain; and
| | - Andreu Vilaseca
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Cristina Auger
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ana Zabalza
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Susana Sainz De La Maza
- Departments of Neurology and Immunology, Instituto Ramón y Cajal de Investigación Sanitaria, Hospital Universitario Ramón y Cajal, Madrid, Spain; and
| | - Neus Mongay-Ochoa
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jordi Río
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Àlex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mar Tintoré
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Luisa M Villar
- Departments of Neurology and Immunology, Instituto Ramón y Cajal de Investigación Sanitaria, Hospital Universitario Ramón y Cajal, Madrid, Spain; and
| | - Xavier Montalban
- Servei de Neurologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
- Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED)-ISCIII, Madrid, Spain
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6
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Brownlee WJ, Vidal‐Jordana A, Shatila M, Strijbis E, Schoof L, Killestein J, Barkhof F, Bollo L, Rovira A, Sastre‐Garriga J, Tintore M, Rocca MA, Esposito F, Azzimonti M, Filippi M, Bodini B, Lazzarotto A, Stankoff B, Montalban X, Toosy AT, Thompson AJ, Ciccarelli O. Towards a Unified Set of Diagnostic Criteria for Multiple Sclerosis. Ann Neurol 2025; 97:571-582. [PMID: 39605172 PMCID: PMC11831880 DOI: 10.1002/ana.27145] [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: 07/18/2024] [Revised: 09/26/2024] [Accepted: 11/04/2024] [Indexed: 11/29/2024]
Abstract
OBJECTIVE The 2017 McDonald criteria continued the separation of diagnostic criteria for relapsing-remitting multiple sclerosis (RRMS) and primary progressive MS (PPMS) for historical, rather than biological, reasons. We aimed to explore the feasibility of a single, unified set of diagnostic criteria when applied to patients with suspected PPMS. METHODS We retrospectively identified patients evaluated for suspected PPMS at 5 European centers. The 2017 McDonald PPMS criteria was the gold standard against which the 2017 McDonald RRMS dissemination in space (DIS) and dissemination in time criteria were evaluated. We also investigated modified RRMS DIS criteria, including: (i) optic nerve lesions; (ii) ≥2 spinal cord lesions; and (iii) higher fulfilment of DIS criteria alone (lesions in ≥3 regions) without dissemination in time/positive cerebrospinal fluid, for a diagnosis of PPMS. RESULTS A total of 282 patients were diagnosed with PPMS using the 2017 McDonald criteria, and 40 with alternate disorders. The 2017 McDonald RRMS DIS criteria and the modified DIS criteria including the optic nerve or ≥2 spinal cord lesions performed well in PPMS diagnosis when combined with dissemination in time/positive cerebrospinal fluid (sensitivity 92.9-95.4%, specificity 95%, accuracy 93.2-95.3%). A diagnosis of PPMS based on high fulfillment of modified RRMS DIS criteria had high specificity, but low sensitivity. A diagnostic algorithm applicable to patients evaluated for suspected MS is proposed. INTERPRETATION The 2017 McDonald RRMS criteria and modifications to DIS criteria, currently under consideration, performed well in PPMS diagnosis. Forthcoming revisions to the McDonald criteria should consider a single, unified set of diagnostic criteria for MS. ANN NEUROL 2025;97:571-582.
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Affiliation(s)
- Wallace J. Brownlee
- Queen Square Multiple Sclerosis Center, Department of NeuroinflammationUCL Institute of NeurologyLondonUK
- NIHR University College London Hospitals Biomedical Research CenterLondonUK
| | - Angela Vidal‐Jordana
- Department of Neurology and Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University HospitalUniversitat Autònoma de Barcelona (UAB)BarcelonaSpain
| | - Madiha Shatila
- Queen Square Multiple Sclerosis Center, Department of NeuroinflammationUCL Institute of NeurologyLondonUK
| | - Eva Strijbis
- Multiple Sclerosis Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdam University Medical College VUMCAmsterdamthe Netherlands
| | - Lisa Schoof
- Multiple Sclerosis Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdam University Medical College VUMCAmsterdamthe Netherlands
| | - Joep Killestein
- Multiple Sclerosis Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdam University Medical College VUMCAmsterdamthe Netherlands
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Center, Department of NeuroinflammationUCL Institute of NeurologyLondonUK
- Multiple Sclerosis Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam NeuroscienceAmsterdam University Medical College VUMCAmsterdamthe Netherlands
- Center for Medical Image ComputingUniversity College LondonLondonUK
| | - Luca Bollo
- Department of Neurology and Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University HospitalUniversitat Autònoma de Barcelona (UAB)BarcelonaSpain
| | - Alex Rovira
- Section of Neuroradiology. Department of Radiology, Vall d'Hebron University HospitalUniversitat Autònoma de Barcelona (UAB)BarcelonaSpain
| | - Jaume Sastre‐Garriga
- Department of Neurology and Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University HospitalUniversitat Autònoma de Barcelona (UAB)BarcelonaSpain
| | - Mar Tintore
- Department of Neurology and Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University HospitalUniversitat Autònoma de Barcelona (UAB)BarcelonaSpain
- Universitat de Vic‐Universitat Central de CatalunyaBarcelonaSpain
| | - Maria A. Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of NeuroscienceIRCCS San Raffaele Scientific InstituteMilanItaly
- Neurology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
- Vita‐Salute San Raffaele UniversityMilanItaly
| | | | - Matteo Azzimonti
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of NeuroscienceIRCCS San Raffaele Scientific InstituteMilanItaly
- Neurology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
- Vita‐Salute San Raffaele UniversityMilanItaly
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of NeuroscienceIRCCS San Raffaele Scientific InstituteMilanItaly
- Neurology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
- Vita‐Salute San Raffaele UniversityMilanItaly
| | - Benedetta Bodini
- Paris Brain InstituteSorbonne UniversitéParisFrance
- AP‐HPHôpital Universitaire Pitié‐SalpêtrièreParisFrance
| | - Andrea Lazzarotto
- Paris Brain InstituteSorbonne UniversitéParisFrance
- AP‐HPHôpital Universitaire Pitié‐SalpêtrièreParisFrance
| | - Bruno Stankoff
- Paris Brain InstituteSorbonne UniversitéParisFrance
- AP‐HPHôpital Universitaire Pitié‐SalpêtrièreParisFrance
| | - Xavier Montalban
- Department of Neurology and Multiple Sclerosis Center of Catalonia (Cemcat), Vall d'Hebron University HospitalUniversitat Autònoma de Barcelona (UAB)BarcelonaSpain
- Universitat de Vic‐Universitat Central de CatalunyaBarcelonaSpain
| | - Ahmed T. Toosy
- Queen Square Multiple Sclerosis Center, Department of NeuroinflammationUCL Institute of NeurologyLondonUK
- NIHR University College London Hospitals Biomedical Research CenterLondonUK
| | - Alan J. Thompson
- Queen Square Multiple Sclerosis Center, Department of NeuroinflammationUCL Institute of NeurologyLondonUK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Center, Department of NeuroinflammationUCL Institute of NeurologyLondonUK
- NIHR University College London Hospitals Biomedical Research CenterLondonUK
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7
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Vaivade A, Erngren I, Carlsson H, Freyhult E, Emami Khoonsari P, Noui Y, Al-Grety A, Åkerfeldt T, Spjuth O, Gallo V, Larsson AO, Kockum I, Hedström AK, Alfredsson L, Olsson T, Burman J, Kultima K. Associations of PFAS and OH-PCBs with risk of multiple sclerosis onset and disability worsening. Nat Commun 2025; 16:2014. [PMID: 40016224 PMCID: PMC11868641 DOI: 10.1038/s41467-025-57172-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 02/13/2025] [Indexed: 03/01/2025] Open
Abstract
Exposure to per- and polyfluorinated substances (PFAS) and hydroxylated polychlorinated biphenyls (OH-PCBs) is associated with adverse human health effects, including immunosuppression. It is unknown if these substances can affect the course of autoimmune diseases. This study was based on 907 individuals with multiple sclerosis (MS) and 907 matched controls, where the MS cases were followed longitudinally using the Swedish MS register. We demonstrate sex- and disease-specific differences in serum PFAS concentrations between individuals with MS and controls. Moreover, two OH-PCBs (4-OH-CB187 and 3-OH-CB153) are associated with an increased risk of developing multiple sclerosis, regardless of sex and immigration status. With a clinical follow-up time of up to 18 years, an increase in serum concentrations of perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), and perfluorodecanoic acid (PFDA) decreases the risk of confirmed disability worsening in both sexes, as well as perfluoroheptanesulfonic acid (PFHpS) and perfluorononanoic acid (PFNA), only in males with MS. These results show previously unknown associations between OH-PCBs and the risk of developing MS, as well as the inverse associations between PFAS exposure and the risk of disability worsening in MS.
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Affiliation(s)
- Aina Vaivade
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Ida Erngren
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Henrik Carlsson
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Eva Freyhult
- Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
| | - Payam Emami Khoonsari
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
- Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Stockholm, Sweden
| | - Yassine Noui
- Department of Medical Science, Neurology, Uppsala University, Uppsala, Sweden
| | - Asma Al-Grety
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Torbjörn Åkerfeldt
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Ola Spjuth
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Valentina Gallo
- Department of Sustainable Health, Campus Fryslân, University of Groningen, Leeuwarden, the Netherlands
| | - Anders Olof Larsson
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden
| | - Ingrid Kockum
- Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
- The Karolinska Neuroimmunology & Multiple Sclerosis Centre, Centrum for Molecular Medicine, Karolinska University Hospital, Solna, Sweden
- Academic Specialist Center, Stockholm, 113 65, Sweden
| | | | - Lars Alfredsson
- Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Solna, Sweden
- Centre for Occupational and Environmental Medicine, Region, Stockholm, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
- The Karolinska Neuroimmunology & Multiple Sclerosis Centre, Centrum for Molecular Medicine, Karolinska University Hospital, Solna, Sweden
- Academic Specialist Center, Stockholm, 113 65, Sweden
| | - Joachim Burman
- Department of Medical Science, Neurology, Uppsala University, Uppsala, Sweden
| | - Kim Kultima
- Department of Medical Sciences, Clinical Chemistry, Uppsala University, Uppsala, Sweden.
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8
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Johansson E, Guo J, Wu J, Olsson T, Alfredsson L, Hedström AK. Impact of fish consumption on disability progression in multiple sclerosis. J Neurol Neurosurg Psychiatry 2025:jnnp-2024-335200. [PMID: 40000244 DOI: 10.1136/jnnp-2024-335200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Accepted: 01/14/2025] [Indexed: 02/27/2025]
Abstract
BACKGROUND Emerging evidence indicates that diet, including fish consumption, may play a role in the development and progression of multiple sclerosis (MS). We aimed to investigate the influence of fish consumption on disability progression in MS. METHODS Incident cases from the population-based case-control study Epidemiological Investigation of MS (n=2719), with data on fish intake and Expanded Disability Status Scale (EDSS) outcomes, were categorised by fish consumption and followed up to 15 years post-diagnosis through the Swedish MS registry. A digital follow-up questionnaire in 2021 assessed changes in fish intake over time (n=1719). Cox regression models, adjusted for clinical and demographic variables, were used to evaluate 24-week confirmed disability worsening (CDW), and progression to EDSS 3 and EDSS 4. RESULTS Higher total consumption of lean and oily fish at diagnosis was associated with a reduced risk of CDW (HR 0.66, 95% CI 0.51 to 0.86), EDSS 3 (HR 0.55, 95% CI 0.39 to 0.79) and EDSS 4 (HR 0.57, 95% CI 0.33 to 0.96) compared with low consumption. These associations showed significant trends and remained consistent after further adjustment for various lifestyle factors. The protective effects were more pronounced among patients who maintained consistent fish consumption during the follow-up period. CONCLUSIONS Our findings suggest that higher fish consumption is associated with more favourable MS disability progression, supporting diet as a potentially modifiable factor. Replication and validation are needed before transfer to practice.
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Affiliation(s)
- Eva Johansson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jie Guo
- Department of Nutrition and Health, China Agricultural University, Beijing, Beijing, China
| | - Jing Wu
- Karolinska Institute, Stockholm, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | | | - Anna Karin Hedström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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9
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Marrodan M, Sao Avilés A, Río J, Cobo-Calvo Á, Fernández V, Pappolla A, Castilló J, Vidal-Jordana Á, Arrambide G, Tur C, Rodríguez-Acevedo B, Zabalza A, Mongay-Ochoa N, Vilaseca A, Rodriguez M, Galán I, Comabella M, Sastre-Garriga J, Tintoré M, Auger C, Rovira À, Montalban X, Midaglia L. Performance of treatment response scoring systems among patients with multiple sclerosis treated with high-efficacy therapies. Mult Scler 2025:13524585251316471. [PMID: 39925147 DOI: 10.1177/13524585251316471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2025]
Abstract
BACKGROUND Predicting treatment response and disease progression in multiple sclerosis (MS) is challenging. Treatment Response Scoring Systems (TRSS) are potentially useful, but their utility in patients receiving high-efficacy therapies and very high-efficacy therapies (HET/vHET) remains unclear. OBJECTIVE This study aimed to evaluate the performance of TRSS in patients treated with HET/vHET. METHODS We retrospectively studied MS patients treated with HET/vHET in an MS specialized centre. TRSS, including the Rio Score, modified Rio Score and MAGNIMS score, were applied to assess response to treatment. We evaluated the predictive value of the TRSS on disease activity and disability progression. RESULTS TRSS effectively predicted disease activity and progression of disability in patients treated with HET/vHET. Patients with high TRSS scores at 12 months post-HET/vHET initiation had a significantly increased risk of relapses, new lesions on magnetic resonance imaging (MRI) scans and progression of disability at 4 years. DISCUSSION Our findings highlight the importance of personalized treatment strategies in MS. TRSS are valuable tools for monitoring treatment response, guiding clinical decision-making and optimizing patient care.
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Affiliation(s)
- Mariano Marrodan
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Neurology, Fleni, Buenos Aires, Argentina
| | - Augusto Sao Avilés
- Statistics and Bioinformatics Unit, Vall d'Hebron Institut de Recerca, Vall d'Hebron Hospital Universitari, Barcelona, Spain
| | - Jordi Río
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Álvaro Cobo-Calvo
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Victoria Fernández
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Agustin Pappolla
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Joaquín Castilló
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ángela Vidal-Jordana
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Georgina Arrambide
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Carmen Tur
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Breogán Rodríguez-Acevedo
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ana Zabalza
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Neus Mongay-Ochoa
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Andreu Vilaseca
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Rodriguez
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ingrid Galán
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Manuel Comabella
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mar Tintoré
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Cristina Auger
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Àlex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Xavier Montalban
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
- Universitat de Vic-Universitat Central de Barcelona (UVic-UCC), Barcelona, Spain
| | - Luciana Midaglia
- Department of Neurology-Neuroimmunology, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
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10
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Mirmosayyeb O, Yazdan Panah M, Vaheb S, Ghoshouni H, Mahmoudi F, Kord R, Kord A, Zabeti A, Shaygannejad V. Association between diffusion tensor imaging measurements and cognitive performances in people with multiple sclerosis: A systematic review and meta-analysis. Mult Scler Relat Disord 2025; 94:106261. [PMID: 39798200 DOI: 10.1016/j.msard.2025.106261] [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: 10/07/2024] [Revised: 12/20/2024] [Accepted: 01/05/2025] [Indexed: 01/15/2025]
Abstract
BACKGROUND Alterations in structural connectivity of brain networks have been linked to complex cognitive functions in people with multiple sclerosis (PwMS). However, a definitive consensus on the optimal diffusion tensor imaging (DTI) markers as indicators of cognitive performance remains incomplete and inconclusive. This systematic review and meta-analysis aimed to explore the evidence on the correlation between DTI metrics and cognitive functions in PwMS. METHODS A comprehensive literature search was conducted across PubMed/MEDLINE, Embase, Scopus, and the Web of Science up to March 2024 to identify studies reporting the correlation between DTI metrics and cognitive functions. Cognitive function was assessed using the Symbol Digit Modalities Test (SDMT), California Verbal Learning Test (CVLT), and Brief Visuospatial Memory Test-Revised (BVMT-R). The pooled correlation coefficients were estimated using R software version 4.4.0 with the random effect model. RESULTS Out of 1952 studies, 38 studies on 2055 PwMS fulfilled the inclusion criteria. The meta-analysis indicated that the SDMT exhibited the greatest correlation with corpus callosum fractional anisotropy (FA) (r = 0.54, 95 % CI: 0.4 to 0.66, p-value < 0.001, I2 = 34.1 %, p-heterogeneity = 0.19) and mean diffusivity (MD) (r = -0.48, 95 % CI: 0.61 to -0.33, p-value < 0.001, I2 = 0 %, p-heterogeneity = 0.77), white matter FA (r = 0.39, 95 % CI: 0.24 to 0.52, p-value < 0.001, I2 = 0 %, p-heterogeneity = 0.1), and fornix FA (r = 0.35, 95 % CI: 0.12 to 0.54, p-value = 0.003, I2 = 50.7 %, p-heterogeneity = 0.18) and MD (r = -0.35, 95 % CI: 0.49 to -0.19, p-value < 0.001, I2 = 0 %, p-heterogeneity = 0.5). CONCLUSION DTI measurements, including corpus callosum FA and MD, white matter FA, and fornix FA and MD, represent the indicators of cognitive performance in PwMS. Nonetheless, these findings warrant cautious interpretation due to the restricted kinds of cognitive tests and methodological variability across studies.
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Affiliation(s)
- Omid Mirmosayyeb
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, United States.
| | - Mohammad Yazdan Panah
- Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran; Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Saeed Vaheb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamed Ghoshouni
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Farhad Mahmoudi
- Department of Neurology, University of Miami, Miami, FL 33136, USA
| | - Reza Kord
- Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Ali Kord
- Division of Interventional Radiology, Department of Radiology, University of Cincinnati, Cincinnati, OH, USA
| | - Aram Zabeti
- Department of Neurology, University of Cincinnati, Cincinnati, OH, USA
| | - Vahid Shaygannejad
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Neurology, Isfahan University of Medical Sciences, Isfahan, Iran
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11
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Klėgėris T, Kaski D, Balnytė R, Manicom K, Uloza V, Kuzminienė A, Ulozienė I. Verticality perception in patients with active multiple sclerosis: The applicability of subjective visual vertical test and its modifications. Mult Scler Relat Disord 2025; 94:106234. [PMID: 39753049 DOI: 10.1016/j.msard.2024.106234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2024] [Accepted: 12/13/2024] [Indexed: 02/17/2025]
Abstract
BACKGROUND Dizziness and balance disturbances are common in patients with MS. Subjective visual vertical (SVV) is a test of vestibular perception that allows clinicians to evaluate the integration of multiple sensory inputs for spatial orientation in the CNS. We hypothesize that central vestibular impairment caused by active MS lesions may be reflected in the modified SVV testing. OBJECTIVE To evaluate the applicability of dynamic and head-tilt SVV for detecting spatial orientation disturbances in MS patients and compare it with conventional SVV testing. METHODS The SVV test was conducted using the virtual reality application VIRVEST. SVV was measured in static and dynamic conditions during head upright, and 30° right and left lateral head tilts. RESULTS The study group comprised 36 patients with active MS and 40 controls. Greater SVV errors were found in MS patients during upright testing; however, dynamic conditions increased the test's sensitivity. Lateral head tilts affected the perception of verticality in both groups; however, the absolute values of SVV biases were paradoxically greater in controls. Potentially pathological A-effect was found in 75 % of MS patients and 17,5 % of controls (p < 0,001), as SVV was more likely to shift towards the side of the head tilt in the MS group. CONCLUSIONS Lateral head tilts and dynamic conditions are valuable additions to the SVV test for detecting disturbances in spatial orientation during active MS. The direction of SVV shifts during lateral head tilts may be more clinically significant than the magnitude of SVV errors for this patient group.
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Affiliation(s)
- Tautvydas Klėgėris
- Department of Otorhinolaryngology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
| | - Diego Kaski
- Department of Clinical and Motor Neuroscience, University College London, United Kingdom
| | - Renata Balnytė
- Department of Neurology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Katherine Manicom
- Department of Clinical and Motor Neuroscience, University College London, United Kingdom
| | - Virgilijus Uloza
- Department of Otorhinolaryngology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Alina Kuzminienė
- Department of Otorhinolaryngology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Ingrida Ulozienė
- Department of Otorhinolaryngology, Lithuanian University of Health Sciences, Kaunas, Lithuania
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12
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Heinemann J, Yankov D, Solomon AJ, Rauer S, Wiendl H, Dersch R. McDonald criteria application by German neurologists suggests a need for further training. Mult Scler Relat Disord 2025; 94:106304. [PMID: 39884115 DOI: 10.1016/j.msard.2025.106304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2024] [Accepted: 01/25/2025] [Indexed: 02/01/2025]
Abstract
BACKGROUND McDonald criteria (MC) are a globally accepted standard for the diagnosis of multiple sclerosis (MS). Misdiagnosis of MS is a common problem that has significant clinical consequences for patients. Misapplication of MC is a potential source of MS misdiagnosis. Recent research has identified elements of the criteria that are frequently misunderstood by neurologists in the US. AIM To assess application of MC by German neurologists. METHODS A previously developed survey instrument was modified and distributed to neurology residents and specialists (general neurology, not MS-subspecialists). RESULTS 68 neurologists (42 neurology residents (NR) and 26 neurology specialists (NS) completed the survey. We found frequent misapplication of MC. Symptoms atypical for MS were mistaken as typical by 31 % of participants. Understanding of MRI dissemination in space criteria was poor. Periventricular and juxtacortical lesions were incorrectly identified by 46 % and 55 %, respectively. Most participants accepted purely anamnestic reports of previous neurological symptoms without objective clinical evidence as sufficient to prove dissemination in time. CONCLUSIONS Training and continuing education on MS diagnostic criteria needs to be improved, especially concurrent with dissemination of future iterations of MC.
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Affiliation(s)
- Johannes Heinemann
- Department of Neurology, Medical Center, University of Freiburg, Faculty of Medicine, Breisacher Str. 64, 79106 Freiburg, Germany.
| | - Dimitar Yankov
- Department of Neurology, Medical Center, University of Freiburg, Faculty of Medicine, Breisacher Str. 64, 79106 Freiburg, Germany
| | - Andrew J Solomon
- Larner College of Medicine at the University of Vermont, Department of Neurological Sciences. University Health Center - Arnold 2, 1 South Prospect Street, Burlington, VT, USA
| | - Sebastian Rauer
- Department of Neurology, Medical Center, University of Freiburg, Faculty of Medicine, Breisacher Str. 64, 79106 Freiburg, Germany
| | - Heinz Wiendl
- Department of Neurology, Medical Center, University of Freiburg, Faculty of Medicine, Breisacher Str. 64, 79106 Freiburg, Germany
| | - Rick Dersch
- Department of Neurology, Medical Center, University of Freiburg, Faculty of Medicine, Breisacher Str. 64, 79106 Freiburg, Germany
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13
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Eva J, Olsson T, Alfredsson L, Hedström AK. Smoking and Obesity Interact to Adversely Affect Disease Progression and Cognitive Performance in Multiple Sclerosis. Eur J Neurol 2025; 32:e70058. [PMID: 39905709 DOI: 10.1111/ene.70058] [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: 08/04/2024] [Revised: 01/10/2025] [Accepted: 01/20/2025] [Indexed: 02/06/2025]
Abstract
BACKGROUND Smoking and obesity interact to exacerbate the risk of hypertension, diabetes, and cardiovascular disease, but their potential synergistic effects on outcomes in multiple sclerosis (MS) have not been well studied. We aimed to study whether smoking and obesity interact to affect disease progression and cognitive function in patients with MS. METHODS Incident cases from the population-based case-control study Epidemiological Investigation of MS (EIMS) were categorized by smoking and obesity status at diagnosis and followed up to 15 years postdiagnosis through the Swedish MS registry (n = 3336). Cox regression was used to analyze outcomes, including clinical disease worsening (CDW), progression to Expanded Disability Status Scale (EDSS) levels 3 and 4, physical worsening as measured by a 7.5-point increase in the MS Impact Scale (MSIS) physical score, and cognitive decline, defined as an 8-point or greater reduction on the Symbol Digit Modalities Test (SDMT). Interaction effects on the additive scale were assessed by combining dichotomous variables for smoking (nonsmoker = 0, smoker = 1) and obesity (nonobese = 0, obese = 1), yielding four categories: 0/0 (reference category), 0/1, 1/0, and 1/1. RESULTS Additive interactions between smoking and obesity were identified for CDW (attributable proportion due to interaction [AP] 0.18, 95% CI 0.03-0.30), progression to EDSS 4 (AP 0.18, 95% CI 0.08-0.26), MSIS-Physical score worsening (AP 0.32, 95% CI 0.21-0.42), and cognitive decline (AP 0.27, 95% CI 0.19-0.35). CONCLUSIONS Smoking and obesity appear to synergistically worsen MS progression and cognitive functioning, with the observed additive interactions across most outcomes suggesting that these factors partly share common biological pathways contributing to disease progression.
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Affiliation(s)
- Johansson Eva
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Anna Karin Hedström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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14
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Lebrun-Frenay C. The confavreux lecture: The radiologically isolated syndrome diagnosis, prognosis and perspectives. Mult Scler 2025:13524585241311217. [PMID: 39819268 DOI: 10.1177/13524585241311217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2025]
Abstract
Radiologically isolated syndrome (RIS) is the earliest documented stage in the disease continuum of multiple sclerosis (MS). It is discovered incidentally in individuals who are asymptomatic but have typical lesions in the brain or spinal cord suggestive of autoimmune inflammatory demyelination. The revised 2023 RIS criteria aim to secure an accurate and timely diagnosis due to the presence of imaging mimics. These criteria require having at least one T2-weighted hyperintense lesion in one of the four suggestive MS locations along with two of the following three features: spinal cord lesion, cerebrospinal fluid (CSF)-restricted oligoclonal bands, or new T2 or gadolinium-enhancing lesion observed on a subsequent magnetic resonance imaging (MRI) study. Once the diagnosis is confirmed, established risk factors, including age, lesion location and CSF, significantly improve prognostic stratification, which is crucial for immunoactive interventions. Recent clinical trials have shown that oral disease-modifying treatments can delay or prevent the first clinical event in RIS patients. Consulting with an MS team for each RIS case is strongly recommended to enhance care and disease surveillance. The revised 2024 McDonald criteria will classify individuals with additional CSF and advanced MRI biomarkers as having preclinical MS, highlighting the importance of vigilance in this area.
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Affiliation(s)
- Christine Lebrun-Frenay
- UR2CA-URRIS, Université Nice Côte d'Azur, Nice, France
- CRCSEP Neurology, Neurologie CHU de Nice Pasteur 2, Nice, France
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15
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Lageman SB, Jolly A, Sahi N, Prados F, Kanber B, Eshaghi A, Tur C, Eierud C, Calhoun VD, Schoonheim MM, Chard DT. Explaining cognitive function in multiple sclerosis through networks of grey and white matter features: a joint independent component analysis. J Neurol 2025; 272:142. [PMID: 39812878 PMCID: PMC11735591 DOI: 10.1007/s00415-024-12795-2] [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: 06/20/2024] [Revised: 10/05/2024] [Accepted: 10/06/2024] [Indexed: 01/16/2025]
Abstract
Cognitive impairment (CI) in multiple sclerosis (MS) is only partially explained by whole-brain volume measures, but independent component analysis (ICA) can extract regional patterns of damage in grey matter (GM) or white matter (WM) that have proven more closely associated with CI. Pathology in GM and WM occurs in parallel, and so patterns can span both. This study assessed whether joint-ICA of GM and WM features better explained cognitive function compared to single-tissue ICA. 89 people with MS underwent cognitive testing and magnetic resonance imaging. Structural T1 and diffusion-weighted images were used to measure GM volumes and WM connectomes (based on fractional anisotropy weighted by the number of streamlines). ICA was performed for each tissue type separately and as joint-ICA. For each tissue type and joint-ICA, 20 components were extracted. In stepwise linear regression models, joint-ICA components were significantly associated with all cognitive domains. Joint-ICA showed the highest variance explained for executive function (Adjusted R2 = 0.35) and visual memory (Adjusted R2 = 0.30), while WM-ICA explained the highest variance for working memory (Adjusted R2 = 0.23). No significant differences were found between joint-ICA and single-tissue ICA in information processing speed or verbal memory. This is the first MS study to explore GM and WM features in a joint-ICA approach and shows that joint-ICA outperforms single-tissue analysis in some, but not all cognitive domains. This highlights that cognitive domains are differentially affected by tissue-specific features in MS and that processes spanning GM and WM should be considered when explaining cognition.
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Affiliation(s)
- Senne B Lageman
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Amy Jolly
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
| | - Nitin Sahi
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
| | - Ferran Prados
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
- Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, UCL, London, UK
- e-Health Centre, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Baris Kanber
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
- Department of Medical Physics and Biomedical Engineering, Centre for Medical Image Computing, UCL, London, UK
| | - Arman Eshaghi
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
| | - Carmen Tur
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
- Multiple Sclerosis Centre of Catalonia (CEMCAT), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Cyrus Eierud
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, USA
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, USA
| | - Menno M Schoonheim
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam University Medical Centers, Location VUmc, Amsterdam, The Netherlands
| | - Declan T Chard
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK.
- National Institute for Health Research (NIHR), University College London Hospitals (UCLH), Biomedical Research Centre, London, UK.
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16
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Farooq FB, Idrees N, Noor E, Alqahtani NA, Imran M. A computational approach to drug design for multiple sclerosis via QSPR modeling, chemical graph theory, and multi-criteria decision analysis. BMC Chem 2025; 19:1. [PMID: 39748369 PMCID: PMC11697749 DOI: 10.1186/s13065-024-01374-1] [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: 08/25/2024] [Accepted: 12/23/2024] [Indexed: 01/04/2025] Open
Abstract
Multiple sclerosis (MS) is a complex autoimmune disease of the central nervous system with an unknown etiology. While disease-modifying therapies can slow progression, there is a need for more effective treatments. Quantitative structure-activity relationship (QSAR) modeling using topological indices derived from chemical graph theory is a promising approach to rationally design new drugs for MS. Using a linear regression approach, we create models for Quantitative Structure-Property Relations (QSPR), detecting correlations between properties such as enthalpy of vaporization, flash point, molar weight, polarizability, molar volume, and complexity with certain degree related topological indices. We used a dataset related to drugs for MS with known properties for training the model and also for validation. To prioritize the most promising drug candidates, we used multi-criteria decision making based on the predicted properties and topological indices, allowing for more informed decisions. The 12 drug candidates were prioritized using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and two Weighted Aggregated Sum Product Assessment (WASPAS) methods. The rankings obtained using TOPSIS, WASPAS methods showed a high level of agreement among the results. This framework can be broadly applied to rationally design new therapeutics for complex diseases.
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Affiliation(s)
- Fozia Bashir Farooq
- Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11564, Saudi Arabia
| | - Nazeran Idrees
- Department of Mathematics, Government College University Faisalabad, Faisalabad, 38000, Pakistan.
| | - Esha Noor
- Department of Mathematics, Government College University Faisalabad, Faisalabad, 38000, Pakistan
| | - Nouf Abdulrahman Alqahtani
- Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11564, Saudi Arabia
| | - Muhammad Imran
- Department of Electrical Engineering, Prince Mohammad Bin Fahd University, Al Khobar, 31952, Saudi Arabia
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17
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Nahayati MA, Habibi Dashtebayaz A, Taghipour A, Baghaei M. The epidemiologic trend of multiple sclerosis in Razavi Khorasan Province, Iran in fifteen-year period. Mult Scler Relat Disord 2025; 93:106217. [PMID: 39733601 DOI: 10.1016/j.msard.2024.106217] [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: 07/09/2024] [Revised: 12/02/2024] [Accepted: 12/05/2024] [Indexed: 12/31/2024]
Abstract
OBJECTIVE Multiple sclerosis (MS) is a major global health problem as a growing debilitating disease and according to the Global Burden of Diseases study in 2016 has had a 40 % prevalence increase in Iran during the 3 previous decades; far more from the Global prevalence which only increased about 10 %. Razavi Khorasan is the second most populous province in Iran with over 6.5 million people and its MS status is not clear; therefore, this study aims to define the current epidemiologic trend of MS in Razavi Khorasan METHODS AND MATERIALS: We performed this cross-sectional, analytical study in Khorasan Razavi Multiple sclerosis Center during 2021-2023. The data was extracted from the registry system for MS patients held in the center. The cases were all MS patients of the province numbered 4723. The sex- and age- standardized ratios were measured and the annual incidence and prevalence rates of MS were calculated using the province population information and so the epidemiologic trend of MS in the province was obtained. RESULTS Of over 4700 MS patients in the province in 2021, 78 % were female. More than 40 % had academic education. In 2021 most patients lived in their 4th (about 40 %) and 5th (about 28 %) decades of life. Most of the patients were aged 20-29 years (37 %) and 30-39 years (34 %) at the time of diagnosis and the average duration of disease was 7 years among all patients until 2021. The annual incidence in Khorasan Razavi rose gradually from 1.57 to 6.40 person-years during 2006-2020; with a steeper slope in females compared with males. The prevalence of MS in 2021 was about 71.7 per 100,000 population (112.7 for females and 31.3 for males), approximately 80 % more than the prevalence in 2006 relative to population growth. CONCLUSION There is an upward trend of multiple sclerosis in Razavi Khorasan; which is probably one of the fastest growth patterns in the region because it has been about two-fold as fast as in Tehran with the highest prevalence rates in Iran. Therefore, there should be extensive plans for managing the disease with secondary prevention in the coming years to decrease the complications and disabilities associated with disease progression.
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Affiliation(s)
- Mohammad Ali Nahayati
- Department of Neurology, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Ali Taghipour
- Department of Epidemiology, School of Health, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahdieh Baghaei
- Department of Radiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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18
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Langley C, De Marco G, Daly S, Masuda N, Smith AD, Jones R, Bruce J, Thai NJ. Neural substrates of alerting dysfunction in females with Multiple Sclerosis. Mult Scler Relat Disord 2025; 93:106208. [PMID: 39631137 DOI: 10.1016/j.msard.2024.106208] [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: 01/31/2024] [Revised: 10/18/2024] [Accepted: 11/30/2024] [Indexed: 12/07/2024]
Abstract
MS is a disease characterised by demyelination of the central nervous system resulting in decreased quality of life, increased anxiety, depression, fatigue, and cognitive dysfunction. Attention is frequently impaired in MS. A previous study demonstrated impairment specifically in the attentional alerting domain. However, this study did not establish whether the impairment was in intrinsic or extrinsic alertness, and did not examine the neural substrates associated with the impairment. To examine the alerting deficit in MS and establish the associated neural substrates, 40 female patients with MS and 40 age and gender match controls completed an alertness-motor paradigm designed to test both intrinsic and extrinsic alertness during functional magnetic resonance imaging. We found the MS group had a significant deficit in extrinsic alertness, which was associated with a lack of dorsal prefrontal cortex (DPFC) activation. In addition, reduced gray matter volume in the dorsal prefrontal cortex, thalamus, and basal ganglia were observed. Both fMRI and VBM correlations were observed between fatigue severity scale (FSS) scores and the DPFC. The combined results of our functional and structural MRI data analysis demonstrate that attention deficits in females with MS are a result of the complex relationship between brain tissue loss having a significant impact on functional brain regions subserving executive control of cognitive functions. Understanding the underlying mechanisms of cognitive performance and how they relate to fatigue are crucial to developing novel treatments for the symptoms of MS.
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Affiliation(s)
- Christelle Langley
- CRIC Bristol, Bristol Medical School, University of Bristol, UK; Department of Psychiatry, University of Cambridge, UK.
| | - Giovanni De Marco
- Laboratoire CeRSM (EA-2931), UPL. Université Paris Nanterre, Nanterre, France
| | - Souhir Daly
- Laboratoire CeRSM (EA-2931), UPL. Université Paris Nanterre, Nanterre, France
| | - Naoki Masuda
- Department of Engineering Mathematics, University of Bristol, UK; Department of Mathematics, State University of New York at Buffalo, Buffalo, USA
| | - Angela Davies Smith
- Bristol and Avon Multiple Sclerosis Centre, The Brain Centre, Southmead Hospital, UK
| | - Rosemary Jones
- Bristol and Avon Multiple Sclerosis Centre, The Brain Centre, Southmead Hospital, UK
| | - Jared Bruce
- Department of Biomedical and Health Informatics, University of Missouri - Kansas City School of Medicine, Kansas City, MO, USA
| | - Ngoc Jade Thai
- CRIC Bristol, Bristol Medical School, University of Bristol, UK; Mental Health Research for Innovation Centre, Mersey Care NHS Foundation Trust, Hollis Park House, Warrington, UK
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19
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Szekely-Kohn AC, Castellani M, Espino DM, Baronti L, Ahmed Z, Manifold WGK, Douglas M. Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review. ROYAL SOCIETY OPEN SCIENCE 2025; 12:241052. [PMID: 39845718 PMCID: PMC11750376 DOI: 10.1098/rsos.241052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 10/23/2024] [Accepted: 11/17/2024] [Indexed: 01/24/2025]
Abstract
Multiple sclerosis (MS) is an autoimmune disease of the brain and spinal cord with both inflammatory and neurodegenerative features. Although advances in imaging techniques, particularly magnetic resonance imaging (MRI), have improved the process of diagnosis, its cause is unknown, a cure remains elusive and the evidence base to guide treatment is lacking. Computational techniques like machine learning (ML) have started to be used to understand MS. Published MS MRI-based computational studies can be divided into five categories: automated diagnosis; differentiation between lesion types and/or MS stages; differential diagnosis; monitoring and predicting disease progression; and synthetic MRI dataset generation. Collectively, these approaches show promise in assisting with MS diagnosis, monitoring of disease activity and prediction of future progression, all potentially contributing to disease management. Analysis quality using ML is highly dependent on the dataset size and variability used for training. Wider public access would mean larger datasets for experimentation, resulting in higher-quality analysis, permitting for more conclusive research. This narrative review provides an outline of the fundamentals of MS pathology and pathogenesis, diagnostic techniques and data types in computational analysis, as well as collating literature pertaining to the application of computational techniques to MRI towards developing a better understanding of MS.
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Affiliation(s)
- Adam C. Szekely-Kohn
- School of Engineering, University of Birmingham, Edgbaston, BirminghamB15 2TT, UK
| | - Marco Castellani
- School of Engineering, University of Birmingham, Edgbaston, BirminghamB15 2TT, UK
| | - Daniel M. Espino
- School of Engineering, University of Birmingham, Edgbaston, BirminghamB15 2TT, UK
| | - Luca Baronti
- School of Computer Science, University of Birmingham, Edgbaston, BirminghamB15 2TT, UK
| | - Zubair Ahmed
- University Hospitals Birmingham NHS Foundation Trust, Edgbaston, BirminghamB15 2GW, UK
- Institute of Inflammation and Ageing, University of Birmingham, Edgbaston, BirminghamB15 2TT, UK
| | | | - Michael Douglas
- University Hospitals Birmingham NHS Foundation Trust, Edgbaston, BirminghamB15 2GW, UK
- Institute of Inflammation and Ageing, University of Birmingham, Edgbaston, BirminghamB15 2TT, UK
- Department of Neurology, Dudley Group NHS Foundation Trust, Russells Hall Hospital, BirminghamDY1 2HQ, UK
- School of Life and Health Sciences, Aston University, Birmingham, UK
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20
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Lefort M, Dejardin O, Berger E, Camdessanché JP, Ciron J, Clavelou P, De Sèze J, Debouverie M, Heinzlef O, Labauge P, Laplaud DA, Le Page E, Lebrun-Frénay C, Moreau T, Pelletier J, Ruet A, Thouvenot E, Vukusic S, Zephir H, Defer G, Leray E. Association between education level and disability progression in patients with multiple sclerosis in France. Mult Scler 2025; 31:59-68. [PMID: 39614776 DOI: 10.1177/13524585241289274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2025]
Abstract
BACKGROUND Studies have reported an association between socioeconomic status and disability progression in multiple sclerosis (MS), but findings using the pre-MS individual socioeconomic status are missing. OBJECTIVE The objective was to investigate the association between education level and disability progression. METHODS All Observatoire Français de la Sclérose en Plaques (OFSEP) patients with MS clinical onset over 1960-2014, and aged ⩾25 years at MS onset were included. Education level was classified into four categories from low (primary/secondary school) to very high (master/doctoral degree). Time from MS onset to EDSS 4.0 was studied using flexible parametric survival models adjusted for age, period, and center, and stratified by phenotype (relapsing multiple sclerosis (RMS) and primary progressive multiple sclerosis (PPMS)) and sex. RESULTS A total of 11,586 patients were included (women/men ratio = 2.5; age = 36.7 ± 8.6 years; follow-up duration 16.7 ± 9.3 years; 86.4% RMS). For women with RMS, the risk of reaching the outcome at 5 years was inversely associated with the education level (Hazard Ratio medium: 0.74 (0.63-0.87), high: 0.51 (0.43-0.62), very high: 0.39 (0.30-0.50) vs low). Results were similar for men. In PPMS, the risk was significantly different between the extreme groups (very high vs low) for women (0.45 (0.28-0.75)) and men (0.54 (0.32-0.91)), but no gradient was evident. CONCLUSION Our study showed a strong association between education level and disability progression, regardless of sex and phenotype.
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Affiliation(s)
- Mathilde Lefort
- Univ Rennes, EHESP, CNRS, Inserm, Arènes-UMR 6051, RSMS (Recherche sur les Services et Management en Santé)-U 1309, Rennes, France
| | - Olivier Dejardin
- UNICAEN, CHU de Caen, INSERM U1086 ANTICIPE, Pôle de Recherche, Normandie University, Caen, France
| | - Eric Berger
- Service de Neurologie, CHU de Besançon, Besançon, France
| | | | - Jonathan Ciron
- Department of Neurology, CRC-SEP, CHU de Toulouse, Toulouse, France
- Université Toulouse III, Infinity, INSERM UMR1291-CNRS UMR5051, Toulouse, France
| | - Pierre Clavelou
- Department of Neurology, CHU Clermont-Ferrand, Clermont-Ferrand, France
- Inserm, Neuro-Dol, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Jerome De Sèze
- Department of Neurology and Clinical Investigation Center, CIC 1434, INSERM 1434, CHU de Strasbourg, Strasbourg, France
| | - Marc Debouverie
- Department of Neurology, Nancy University Hospital, Nancy, France
- APEMAC, Université de Lorraine, Nancy, France
| | | | - Pierre Labauge
- MS Unit, CHU de Montpellier, Montpellier, France; University of Montpellier (MUSE), Montpellier, France
| | - David Axel Laplaud
- Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, CIC INSERM 1413, Service de Neurologie, Nantes, France
| | | | - Christine Lebrun-Frénay
- Neurology, UR2CA_URRIS, Centre Hospitalier Universitaire Pasteur2, Université Nice Côte d'Azur, Nice, France
| | - Thibault Moreau
- Department of Neurology, CHU de Dijon, EA4184, Dijon, France
| | - Jean Pelletier
- Aix Marseille Univ, APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France
| | - Aurélie Ruet
- University of Bordeaux, Bordeaux, France; INSERM U1215, Neurocentre Magendie, Bordeaux, France
- CHU de Bordeaux, Department of Neurology, CIC Bordeaux CIC1401, Bordeaux, France
| | - Eric Thouvenot
- Department of Neurology, Nimes University Hospital, Nimes, France
- Institut de Génomique Fonctionnelle, UMR5203, INSERM 1191, Univ. Montpellier, Montpellier, France
| | - Sandra Vukusic
- Hospices Civils de Lyon, Service de Neurologie, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Bron, France
- Observatoire Français de la Sclérose en Plaques, Centre de Recherche en Neurosciences de Lyon, INSERM 1028 et CNRS UMR 5292, Lyon, France
- Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
- Eugène Devic EDMUS Foundation Against Multiple Sclerosis (A Government Approved Foundation), Bron, France
| | - Hélène Zephir
- CHU Lille, CRCSEP Lille, Univ Lille, U1172, Lille, France
| | - Gilles Defer
- UNICAEN, Normandie University, MS Expert Center, Department of Neurology, CHU de Caen Normandie, Caen, France
| | - Emmanuelle Leray
- Univ Rennes, EHESP, CNRS, Inserm, Arènes-UMR 6051, RSMS (Recherche sur les Services et Management en Santé)-U 1309, Rennes, France
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21
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Lemmens CMC, Vanhommerig JW, Knottnerus BJ, Uitdehaag BMJ, Mostert JP, de Jong BA. Prevalence and incidence of multiple sclerosis in the Netherlands. Mult Scler Relat Disord 2025; 93:106207. [PMID: 39657510 DOI: 10.1016/j.msard.2024.106207] [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: 05/09/2024] [Revised: 11/22/2024] [Accepted: 11/30/2024] [Indexed: 12/12/2024]
Abstract
BACKGROUND The rising prevalence estimates of multiple sclerosis (MS) globally underscore the imperative for up-to-date epidemiological data specific to the Netherlands. METHODS Data from two Dutch healthcare databases (Nivel Primary Care Database and Vektis Database) comprising both general practices and hospital electronic health records in 2019 were combined to assess age- and sex-standardized MS prevalence and incidence estimates. Differences in prevalence estimates based on latitude and between primary versus secondary care records were examined. RESULTS The age and sex-standardized prevalence estimate was 210.4 per 100,000 inhabitants. Incidence estimate of MS was 7.1 per 100,000 person-years within the year 2019. One-third of the MS cohort from primary care records was not documented in the hospital database over two consecutive years. Prevalence estimates were higher in northern areas versus southern areas (respectively 240.6 versus 208.3 per 100,000 inhabitants). CONCLUSION Aligning results from different global regions, prevalence estimates of MS in the Netherlands have increased significantly over the last decennia, while incidence estimates are stable. The discrepancy between MS records within the primary and secondary care setting could indicate that a substantial proportion of Dutch patients with MS are not under specialized neurological care.
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Affiliation(s)
- Cynthia M C Lemmens
- Department of Neurology, Haaglanden Medical Center, Lijnbaan 32, The Hague 2512 VA, The Netherlands; Department of Neurology, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam Neuroscience, MS Center Amsterdam, Amsterdam, The Netherlands.
| | - Joost W Vanhommerig
- Department of General Practice Care, Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands
| | - Bart J Knottnerus
- Department of General Practice Care, Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands
| | - Bernard M J Uitdehaag
- Department of Neurology, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam Neuroscience, MS Center Amsterdam, Amsterdam, The Netherlands
| | - Jop P Mostert
- Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
| | - Brigit A de Jong
- Department of Neurology, Amsterdam UMC, location Vrije Universiteit Amsterdam, Amsterdam Neuroscience, MS Center Amsterdam, Amsterdam, The Netherlands; Amsterdam Public Health research institute, Quality of Care, The Netherlands
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22
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Lefort M, Dejardin O, Berger E, Camdessanché JP, Ciron J, Clavelou P, De Sèze J, Debouverie M, Heinzlef O, Labauge P, Laplaud DA, Michel L, Lebrun-Frénay C, Moreau T, Pelletier J, Ruet A, Thouvenot E, Vukusic S, Zephir H, Defer G, Leray E. Association between education level and access to disease-modifying treatment in patients with multiple sclerosis in France. Mult Scler 2025; 31:69-80. [PMID: 39618051 DOI: 10.1177/13524585241289276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2025]
Abstract
BACKGROUND We hypothesized that differences in access to disease-modifying treatments (DMTs) could explain the association between socioeconomic status and disability progression in multiple sclerosis (MS). OBJECTIVE This study aimed to analyze the association between education level and DMT use in France. METHODS All patients from OFSEP network with MS onset over 1996-2014 and aged ⩾ 25 years at onset were included. Three time-to-event outcomes were investigated using flexible parametric survival regression models: time from MS onset to first DMT (any) and to platform therapy, and time from platform therapy to switch to high-efficacy therapy. RESULTS Overall, 7563 patients were included (mean follow-up 12.6 ± 5.9 years). The percentages of patients aged less than 40 years at MS onset and who initiated treatment before the age of 40 years were significantly higher in the groups with a higher education level. The time-to-event outcomes showed no major difference in DMT practices according to education level, except for women who had a significantly shorter time to DMT initiation in medium to very high education level groups versus low, at 5 years from MS clinical onset. CONCLUSION Our results suggest that the association between education level and MS disability progression does not solely reflect different therapeutic practices, particularly in men.
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Affiliation(s)
- Mathilde Lefort
- Univ Rennes, EHESP, CNRS, Inserm, Arènes-UMR 6051, RSMS (Recherche sur les Services et Management en Santé)-U 1309, Rennes, France
| | - Olivier Dejardin
- UNICAEN, CHU de Caen, INSERM U1086 ANTICIPE, Pôle de Recherche, Normandie University, Caen, France
| | - Eric Berger
- Service de Neurologie, CHU de Besançon, Besançon, France
| | | | - Jonathan Ciron
- Department of Neurology, CRC-SEP, CHU de Toulouse, Toulouse, France
- Université Toulouse III, Infinity, INSERM UMR1291-CNRS UMR5051, Toulouse, France
| | - Pierre Clavelou
- Department of Neurology, CHU Clermont-Ferrand, Clermont-Ferrand, France
- JNeuro-Dol, Inserm, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Jerome De Sèze
- Department of Neurology and Clinical Investigation Center, CIC 1434, INSERM 1434, CHU de Strasbourg, Strasbourg, France
| | - Marc Debouverie
- Department of Neurology, Nancy University Hospital, Nancy, France
- APEMAC, Université de Lorraine, Nancy, France
| | | | - Pierre Labauge
- MS Unit, CHU de Montpellier, Montpellier, France; University of Montpellier (MUSE), Montpellier, France
| | - David Axel Laplaud
- Nantes Université, CHU Nantes, INSERM, Center for Research in Transplantation and Translational Immunology, UMR 1064, CIC INSERM 1413, Service de Neurologie, Nantes, France
| | - Laure Michel
- CHU Pontchaillou, CIC1414 INSERM, Rennes, France
| | - Christine Lebrun-Frénay
- Neurology, UR2CA_URRIS, Centre Hospitalier Universitaire Pasteur2, Université Nice Côte d'Azur, Nice, France
| | - Thibault Moreau
- Department of Neurology, CHU de Dijon, EA4184, Dijon, France
| | - Jean Pelletier
- Aix Marseille Université, APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France
| | - Aurélie Ruet
- INSERM U1215, Neurocentre Magendie, University of Bordeaux, Bordeaux, France
- CHU de Bordeaux, Department of Neurology, CIC Bordeaux CIC1401, Bordeaux, France
| | - Eric Thouvenot
- Department of Neurology, Nimes University Hospital, Nimes, France
- Institut de Génomique Fonctionnelle, UMR5203, INSERM 1191, Univ. Montpellier, Montpellier, France
| | - Sandra Vukusic
- Hospices Civils de Lyon, Service de Neurologie, Sclérose en Plaques, Pathologies de la Myéline et Neuro-Inflammation, Bron, France
- Observatoire Français de la Sclérose en Plaques, Centre de Recherche en Neurosciences de Lyon, INSERM 1028 et CNRS UMR 5292, Lyon, France
- Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
- Eugène Devic EDMUS Foundation Against Multiple Sclerosis, Bron, France
| | - Hélène Zephir
- Université de Lille, Inserm U1172, CHU de Lille, CRC-SEP de Lille, Lille, France
| | - Gilles Defer
- Normandie University (UNICAEN), MS Expert Center, Department of Neurology, CHU de Caen Normandie, Caen, France
| | - Emmanuelle Leray
- Univ Rennes, EHESP, CNRS, Inserm, Arènes-UMR 6051, RSMS (Recherche sur les Services et Management en Santé)-U 1309, Rennes, France
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23
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Bsteh G, Marti S, Krajnc N, Traxler G, Salmen A, Hammer H, Leutmezer F, Rommer P, Di Pauli F, Chan A, Berger T, Hegen H, Hoepner R. Disability progression is a question of definition-A methodological reappraisal by example of primary progressive multiple sclerosis. Mult Scler Relat Disord 2025; 93:106215. [PMID: 39662164 DOI: 10.1016/j.msard.2024.106215] [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: 06/14/2024] [Revised: 11/19/2024] [Accepted: 12/03/2024] [Indexed: 12/13/2024]
Abstract
BACKGROUND Different definitions of disability progression by Expanded Disability Status Scale (EDSS) may influence frequency and/or time to event. METHODS In this multicenter cohort study, we included PPMS patients with follow-up ≥24 months and ≥3 available EDSS scores overall (≥1 per year). We applied 672 definitions of disability progression including different minimal EDSS increase, required confirmation and fixed/roving-baseline score. RESULTS We analyzed follow-up periods from 131 PPMS patients (median age at baseline 53.0 years [45.0 - 63.0], 51.9 % female, median follow-up 3.9 years [2.6 - 6.0], median baseline EDSS 4.0 [2.5 - 6.0]). The most sensitive definition of a progression event was an unconfirmed increase of ≥0.5 points with a roving baseline (81.8 % event rate). The least sensitive definition was an increase of ≥1.0 points with a fixed baseline, minimal distance to reference 48 weeks, and confirmed at ≥48 weeks (28.4 % event rate). Comparing roving vs. fixed baseline over all cutoffs and confirmation definitions, average time to progression was 227 days shorter applying the roving baseline (1405 days [550 - 2653] vs. 1632 days [760 - 2653]). CONCLUSIONS Different definitions of disability progression result in significantly differing rates of disability progression, which may influence study results and create confusion in clinical practice.
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Affiliation(s)
- Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria.
| | - Stefanie Marti
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Switzerland
| | - Nik Krajnc
- Department of Neurology, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Gerhard Traxler
- Clinic for Neurology 2, Med Campus III, Kepler University Hospital GmbH, Linz, Austria
| | - Anke Salmen
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Helly Hammer
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Switzerland
| | - 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
| | - Paulus Rommer
- Department of Neurology, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Franziska Di Pauli
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Switzerland
| | - 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
| | - Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Robert Hoepner
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Switzerland
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24
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Nyári A, Kokas Z, Szamosi S, Fricska-Nagy Z, Kincses ZT, Füvesi J, Biernacki T, Klivényi P, Bencsik K, Sandi D. Fatigue and depression influence the prevalence of anxiety in patients with multiple sclerosis. Neurol Sci 2025; 46:325-334. [PMID: 39174771 DOI: 10.1007/s10072-024-07737-9] [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: 05/09/2024] [Accepted: 08/19/2024] [Indexed: 08/24/2024]
Abstract
BACKGROUND There is scarce information in Middle-Eastern Europe regarding the prevalence of anxiety in patients with multiple sclerosis (pwMS) and its association with different clinical-demographic factors. OBJECTIVE We aimed to determine the prevalence of anxiety in Hungarian MS patients and to analyze associated factors. MATERIALS AND METHODS We evaluated 260 PwMS with the STAI-5 anxiety questionnaire. Fatigue (FIS), depression (BDI-II) and cognition (BICAMS) were also measured. Patients underwent standard neurological evaluations to evaluate Expanded Disability Status Scale (EDSS), and also measured the fine motor skills of the hand with the 9-hole peg test (9HPT), and the walking distance with the 25-foot walking test (T25FW). RESULTS We identified 23.1% (N = 60) of the patients with anxiety (only state, trait or both forms concurrently). According to our two univariate, multivariable logistic regression analysis, fatigue and depression are strongly associated with both state and trait anxiety. In the absence of fatigue, the odds of trait anxiety are 82% lower (OR: 0.18; 95% CI: 0.06-0.53; p = 0.002), while in the case of pwMS without depression, the odds are reduced by 81% (OR: 0.19; CI95%= 0.07-0.51, p = 0.001). This association with fatigue (OR: 0.33; CI95%= 0.13-0.85, p = 0.021) and depression (OR: 0.14; CI95%=0.06-0.35; p < 0.001) can also be statistically verified on state anxiety. Importantly, a significant association with state anxiety was found in SPSM patients as well (OR: 34.94; CI95%=2.55-479.61; p = 0.008). CONCLUSIONS Anxiety was strongly associated with fatigue, depression, and secondary progressive disease form. These results emphasize the burden of psychiatric morbidity in pwMS.
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Affiliation(s)
- Aliz Nyári
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Zsófia Kokas
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Szabolcs Szamosi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Zsanett Fricska-Nagy
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Zsigmond Tamás Kincses
- Department of Radiology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Judit Füvesi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Tamás Biernacki
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Péter Klivényi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Krisztina Bencsik
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Dániel Sandi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
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25
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Mirmosayyeb O, Yazdan Panah M, Moases Ghaffary E, Vaheb S, Ghoshouni H, Shaygannejad V, Pinter NK. Magnetic resonance imaging-based biomarkers of multiple sclerosis and neuromyelitis optica spectrum disorder: a systematic review and meta-analysis. J Neurol 2024; 272:77. [PMID: 39680165 DOI: 10.1007/s00415-024-12827-x] [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: 09/29/2024] [Accepted: 11/19/2024] [Indexed: 12/17/2024]
Abstract
BACKGROUND/OBJECTIVE Multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) are neuroinflammatory conditions with overlapping clinical and imaging features. Distinguishing between these diseases is crucial for appropriate diagnosis and management. Magnetic resonance imaging (MRI) may have the potential to differentiate these disorders. Nonetheless, studies exhibit inconsistencies regarding which MRI measurements most effectively distinguish between these disorders. Hence, this review aimed to evaluate the differences in MRI volumetry between people with MS (PwMS) and people with NMOSD (PwNMOSD). METHODS A systematic search was conducted across PubMed/MEDLINE, Embase, Scopus, and Web of Science up to May 12, 2024, to identify studies assessing conventional and volumetric MRI in PwMS and PwNMOSD. The standard mean difference (SMD) of MRI measurements and its 95% confidence interval (CI) were estimated using R version 4.4.0 with a random-effects model. RESULTS Forty-eight original studies that assessed conventional MRI measurements in 2592 PwMS and 1979 PwNMOSD were included. The meta-analysis revealed that PwMS had significantly higher T2 lesion volume (SMD = 1.51, 95% CI: 0.53 to 2.48, p = 0.002) and T1 lesion count (SMD = 1.08, 95% CI: 0.56 to 1.6, p < 0.001) than PwNMOSD. PwMS also exhibited significantly reduced thalamic volume (SMD = -1.26, 95% CI: -1.8 to -0.73, p < 0.001) and grey matter volume (GMV) (SMD = -0.65, 95% CI: -0.92 to -0.37, p < 0.001). Other MRI volumetry, such as the brain and putamen volumes, showed more pronounced atrophy in PwMS. CONCLUSION Significant differences in MRI volumetry between MS and NMOSD highlight the potential of MRI as a critical diagnostic tool. These findings emphasize the need for standardized MRI protocols and advanced imaging techniques to enhance diagnostic accuracy and clinical management of these conditions.
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Affiliation(s)
- Omid Mirmosayyeb
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High St., Buffalo, NY, 14203, USA.
| | - Mohammad Yazdan Panah
- Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | | | - Saeed Vaheb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamed Ghoshouni
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Vahid Shaygannejad
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Nandor K Pinter
- Department of Radiology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
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26
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Zeydan B, Azevedo CJ, Makhani N, Cohen M, Tutuncu M, Thouvenot E, Siva A, Okuda DT, Kantarci OH, Lebrun-Frenay C. Early Disease-Modifying Treatments for Presymptomatic Multiple Sclerosis. CNS Drugs 2024; 38:973-983. [PMID: 39285136 PMCID: PMC11560559 DOI: 10.1007/s40263-024-01117-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/08/2024] [Indexed: 11/08/2024]
Abstract
Radiologically isolated syndrome (RIS) is the earliest stage in the disease continuum of multiple sclerosis (MS). RIS is discovered incidentally in individuals who are asymptomatic but have typical lesions in the brain and/or spinal cord suggestive of demyelination. The 2009 and revised 2023 RIS criteria were developed for diagnosis. Presymptomatic individuals who fulfill the 2009 RIS criteria by having 3-4 of 4 dissemination in space McDonald 2005 MS criteria are still diagnosed with RIS using the revised 2023 RIS criteria. In presymptomatic individuals who do not fulfill the 2009 RIS criteria, the revised 2023 RIS criteria target to secure an accurate and timely diagnosis: In addition to (a) having one lesion in two of four locations (periventricular, juxtacortical/cortical, infratentorial, spinal cord), (b) two of three features (spinal cord lesion, cerebrospinal fluid (CSF)-restricted oligoclonal bands, and new T2 or gadolinium-enhancing lesion) should be fulfilled. Among laboratory biomarkers, CSF kappa-free light chain can also increase diagnostic accuracy. Once the diagnosis is confirmed, the established risk factors, including demographics, imaging, and laboratory biomarkers, should be evaluated for symptomatic MS transition and prognosis. Younger age, male sex, increased neurofilament-light chain, CSF abnormality, and the presence of infratentorial, spinal cord, or gadolinium-enhancing lesions on imaging are the main risk factors for transition to symptomatic MS. Two randomized clinical trials showed significant efficacy of disease-modifying treatments in delaying or preventing the development of the first clinical event in RIS. However, because some individuals remain as RIS, it is crucial to identify the individuals with a higher number of risk factors to optimize disease outcomes by early intervention while minimizing adverse events. Discussing each RIS case with an expert MS team is recommended because there is still a lack of clinical guidelines to improve care, counseling, and surveillance.
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Affiliation(s)
- Burcu Zeydan
- Department of Radiology, Mayo Clinic, 200 First Street, SW, Rochester, MN, USA.
- Department of Neurology, Mayo Clinic, Rochester, MN, USA.
| | - Christina J Azevedo
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Naila Makhani
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Mikael Cohen
- Department of Neurology, MS Clinic Nice, Pasteur 2 University Hospital, UR2CA-URRIS, Côte d'Azur University, Nice, France
| | - Melih Tutuncu
- Department of Neurology, Istanbul University Cerrahpasa School of Medicine, Istanbul, Türkiye
| | - Eric Thouvenot
- Department of Neurology, Nîmes University Hospital Center, Univ. Montpellier, Nîmes, France
- IGF, Montpellier University, CNRS, INSERM, Montpellier, France
| | - Aksel Siva
- Department of Neurology, Istanbul University Cerrahpasa School of Medicine, Istanbul, Türkiye
| | - Darin T Okuda
- Neuroinnovation Program and Multiple Sclerosis and Neuroimmunology Imaging Program, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Christine Lebrun-Frenay
- Department of Neurology, MS Clinic Nice, Pasteur 2 University Hospital, UR2CA-URRIS, Côte d'Azur University, Nice, France
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27
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Cicero CE, Chisari C, Salafica G, Lo Fermo S, Donzuso G, Maimone D, Marziolo R, Patti F, Nicoletti A. Incidence of late onset multiple sclerosis in Italy: a population-based study. Sci Rep 2024; 14:29649. [PMID: 39609522 PMCID: PMC11604969 DOI: 10.1038/s41598-024-81284-3] [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: 10/11/2024] [Accepted: 11/25/2024] [Indexed: 11/30/2024] Open
Abstract
Late onset multiple sclerosis (LOMS) represents between 0.6 and 12% of all MS patients. However, little is known on the incidence of LOMS in the general population. Therefore, we aimed to study the annual incidence of LOMS in a population-based cohort. The study was conducted in the province of Catania, Italy. Case ascertainment was conducted retrospectively including all patients aged ≥ 50 years at onset and with the onset between 2005 and 2020. Incidence rates (IR) have been calculated for all the study period, according to sex, age classes and for subperiods. Incidence rate ratios (IRR) have been computed to compare incidence rates. During the study period, 183 patients with LOMS were identified (113 women; 61.8%). The mean age at onset was 55.8 ± 5.4 years and the main phenotype was Relapsing Remitting MS (n = 123; 67.2%). The average annual crude IR was 2.87/100,000 person-years (95% Confidence Intervals, CI 2.31-3.13). IR increased from 2.54/100,000 in 2005-2010 to 3.32/100,000 in 2016-2020, especially in in the age group 60-69 (IRR 3.48; 95%CI 1.41-9.76; p-value 0.002). In conclusion, an increased IR over the time was observed in the age-group 60-69, possibly reflecting an increased age at onset of MS.
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Affiliation(s)
- Calogero Edoardo Cicero
- Department of Medical, Surgical Sciences and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Via Santa Sofia 78, 95123, Catania, Italy.
| | - Clara Chisari
- Department of Medical, Surgical Sciences and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | - Giuseppe Salafica
- Department of Medical, Surgical Sciences and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | - Salvatore Lo Fermo
- Department of Medical, Surgical Sciences and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | - Giulia Donzuso
- Department of Medical, Surgical Sciences and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | | | | | - Francesco Patti
- Department of Medical, Surgical Sciences and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Via Santa Sofia 78, 95123, Catania, Italy
| | - Alessandra Nicoletti
- Department of Medical, Surgical Sciences and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Via Santa Sofia 78, 95123, Catania, Italy.
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28
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Mariottini A, Boncompagni R, Cozzi D, Simonetti E, Repice AM, Damato V, Giordano M, Miele V, Nozzoli C, Massacesi L. Thymic hyperplasia after autologous hematopoietic stem cell transplantation in multiple sclerosis: a case series. Front Immunol 2024; 15:1478777. [PMID: 39654894 PMCID: PMC11625664 DOI: 10.3389/fimmu.2024.1478777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2024] [Accepted: 11/05/2024] [Indexed: 12/12/2024] Open
Abstract
Introduction Reactivation of thymopoiesis in adult patients with autoimmune disorders treated with autologous haematopoietic stem cell transplantation (AHSCT) is supported by studies exploring immunoreconstitution. Radiological evidence of thymic hyperplasia after AHSCT was previously reported in patients with systemic sclerosis, but, to our knowledge, it has not been described in multiple sclerosis (MS), where premature thymic involution has been observed and immunosenescence might be accelerated by disease-modifying treatments (DMTs). Participants and methods monocentric case series including MS patients who performed a chest CT scan for clinical purposes after having received AHSCT (BEAM/ATG regimen) for aggressive MS failing DMTs. Chest CT exams were reviewed by a thoracic radiologist: thymic hyperplasia was defined as a rounded mass in the thymic loggia with a density around 40 Hounsfield Units (HU) and thickness >1.3 cm. Results Fifteen MS patients were included; the median time interval between AHSCT and chest CT scan was 2 (range 1-18) months. All the patients were free from new inflammatory events and DMTs over a median follow-up of 36 months (range 12-84) after AHSCT. Thymic hyperplasia was detected in 3/15 (20%) cases in an exam taken 1 to 3 months after AHSCT; all these patients were females, and aged 30 to 40 years. Lung infections and secondary autoimmunity were diagnosed in 5 and 1 cases, respectively, none of which showed thymic hyperplasia. No associations between thymic hyperplasia and clinical-demographic characteristics or post-AHSCT outcomes were observed. Conclusions Thymic hyperplasia was detected in 20% of MS patients recently treated with AHSCT. These results are consistent with previous immunological studies showing that AHSCT promotes thymus reactivation in MS patients, further supporting de-novo thymopoiesis as a cornerstone of immune reconstitution after AHSCT in this population.
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Affiliation(s)
- Alice Mariottini
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
- Neurology II Department, University Hospital Careggi, Florence, Italy
| | - Riccardo Boncompagni
- Cell Therapy and Transfusion Medicine Unit, University Hospital Careggi, Florence, Italy
| | - Diletta Cozzi
- Department of Emergency Radiology, University Hospital Careggi, Florence, Italy
| | - Edoardo Simonetti
- Cell Therapy and Transfusion Medicine Unit, University Hospital Careggi, Florence, Italy
| | - Anna Maria Repice
- Neurology II Department, University Hospital Careggi, Florence, Italy
| | - Valentina Damato
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
- Neurology II Department, University Hospital Careggi, Florence, Italy
| | - Mirella Giordano
- Cell Therapy and Transfusion Medicine Unit, University Hospital Careggi, Florence, Italy
| | - Vittorio Miele
- Department of Emergency Radiology, University Hospital Careggi, Florence, Italy
| | - Chiara Nozzoli
- Cell Therapy and Transfusion Medicine Unit, University Hospital Careggi, Florence, Italy
| | - Luca Massacesi
- Department of Neurosciences, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy
- Neurology II Department, University Hospital Careggi, Florence, Italy
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29
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Jendretzky KF, Lezius LM, Thiele T, Konen FF, Huss A, Heitmann L, Güzeloglu YE, Schwenkenbecher P, Sühs KW, Skuljec J, Wattjes MP, Witte T, Kleinschnitz C, Pul R, Tumani H, Gingele S, Skripuletz T. Prevalence of comorbid autoimmune diseases and antibodies in newly diagnosed multiple sclerosis patients. Neurol Res Pract 2024; 6:55. [PMID: 39533435 PMCID: PMC11556020 DOI: 10.1186/s42466-024-00351-2] [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: 05/20/2024] [Accepted: 10/07/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND Diagnosing multiple sclerosis (MS) is challenging due to diverse symptoms and the absence of specific biomarkers. Concurrent autoimmune diseases (AID) or non-specific antibodies further complicate diagnosis, progression monitoring, and management. Data on AID prevalence in MS patients are sparse. This study aims to identify concurrent AIDs alongside MS. METHODS In this retrospective single-center study, we analyzed patient records at our university hospital from 2010 to 2017, focusing on cases suspected of inflammatory demyelinating disease. The 2017 McDonald criteria were applied. Additionally, we measured neurofilament light (NfL) levels from available CSF samples in our biobank. RESULTS We identified a total of 315 patients, of whom 66% were women. In total, 13.7% of all patients had concurrent AID, while 20.3% had isolated antibody findings without AID. The most common AID was autoimmune thyroiditis (8.9%), followed by chronic inflammatory skin diseases (1.6%), arthritis (1%), type 1 diabetes (1%), Sjögren's syndrome (0.6%), and inflammatory bowel diseases (0.6%). Cardiolipin antibodies were the most frequent isolated antibody finding (8.6%). Our data showed that, from the perspective of the initial demyelinating event, neither comorbid AID nor isolated antibodies significantly influenced relapses or MS progression over a median follow-up of 9 months. Standard CSF parameters and NfL levels were similar between the groups at the time of MS diagnosis. CONCLUSION Our study shows that AIDs, particularly autoimmune thyroiditis, frequently occur at the onset of MS. The proportion of AIDs commonly treated with immunomodulatory therapy in our cohort was similar to that observed in the general population. Comorbid AID did not affect NfL levels, indicating similar disease activity. Future research should explore new AID emergence during the course of MS, especially considering the increased incidence of rheumatic diseases later in life.
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Affiliation(s)
| | | | - Thea Thiele
- Department of Rheumatology and Clinical Immunology, Hannover Medical School, Hannover, Germany
| | | | - André Huss
- Department of Neurology, University Hospital of Ulm, Ulm, Germany
| | - Lena Heitmann
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | | | | | | | - Jelena Skuljec
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, Essen, Germany
| | - Mike Peter Wattjes
- Department of Neuroradiology, Charité Berlin, Corporate Member of Freie Universität zu Berlin, Humboldt-Universität zu Berlin, erlin, Germany
| | - Torsten Witte
- Department of Rheumatology and Clinical Immunology, Hannover Medical School, Hannover, Germany
| | - Christoph Kleinschnitz
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, Essen, Germany
| | - Refik Pul
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, Essen, Germany
| | - Hayrettin Tumani
- Department of Neurology, University Hospital of Ulm, Ulm, Germany
| | - Stefan Gingele
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Thomas Skripuletz
- Department of Neurology, Hannover Medical School, Hannover, Germany.
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30
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Yang F, Zhao LY, Yang WQ, Chao S, Ling ZX, Sun BY, Wei LP, Zhang LJ, Yu LM, Cai GY. Quantitative proteomics and multi-omics analysis identifies potential biomarkers and the underlying pathological molecular networks in Chinese patients with multiple sclerosis. BMC Neurol 2024; 24:423. [PMID: 39478468 PMCID: PMC11526627 DOI: 10.1186/s12883-024-03926-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 10/21/2024] [Indexed: 11/02/2024] Open
Abstract
Multiple sclerosis (MS) is an autoimmune disorder caused by chronic inflammatory reactions in the central nervous system. Currently, little is known about the changes of plasma proteomic profiles in Chinese patients with MS (CpwMS) and its relationship with the altered profiles of multi-omics such as metabolomics and gut microbiome, as well as potential molecular networks that underlie the etiology of MS. To uncover the characteristics of proteomics landscape and potential multi-omics interaction networks in CpwMS, Plasma samples were collected from 22 CpwMS and 22 healthy controls (HCs) and analyzed using a Tandem Mass Tag (TMT)-based quantitative proteomics approach. Our results showed that the plasma proteomics pattern was significantly different in CpwMS compared to HCs. A total of 90 differentially expressed proteins (DEPs), such as LAMP1 and FCG2A, were identified in CpwMS plasma comparing to HCs. Furthermore, we also observed extensive and significant correlations between the altered proteomic profiles and the changes of metabolome, gut microbiome, as well as altered immunoinflammatory responses in MS-affected patients. For instance, the level of LAMP1 and ERN1 were significantly and positively correlated with the concentrations of metabolite L-glutamic acid and pro-inflammatory factor IL-17 (Padj < 0.05). However, they were negatively correlated with the amounts of other metabolites such as L-tyrosine and sphingosine 1-phosphate, as well as the concentrations of IL-8 and MIP-1α. This study outlined the underlying multi-omics integrated mechanisms that might regulate peripheral immunoinflammatory responses and MS progression. These findings are potentially helpful for developing new assisting diagnostic biomarker and therapeutic strategies for MS.
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Affiliation(s)
- Fan Yang
- Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People's Hospital, Lishui, China.
- Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.
| | - Long-You Zhao
- Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People's Hospital, Lishui, China
| | - Wen-Qi Yang
- Department of Clinical Laboratory & Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Shan Chao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Zong-Xin Ling
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Bo-Yao Sun
- Department of Clinical Laboratory & Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Li-Ping Wei
- Department of Clinical Laboratory & Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Li-Juan Zhang
- Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People's Hospital, Lishui, China
| | - Li-Mei Yu
- Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
| | - Guang-Yong Cai
- Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People's Hospital, Lishui, China.
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Sandi D, Kokas Z, Kincses ZT, Füvesi J, Fricska-Nagy Z, Vörös E, Biernacki T, Vécsei L, Klivényi P, Bencsik K. NEDA-state, psychological symptoms and quality of life are stable in natalizumab-treated multiple sclerosis patients: An up to 6-years long follow-up study. Heliyon 2024; 10:e39536. [PMID: 39502229 PMCID: PMC11535987 DOI: 10.1016/j.heliyon.2024.e39536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 10/14/2024] [Accepted: 10/16/2024] [Indexed: 11/08/2024] Open
Abstract
Introduction Natalizumab (NAT), a highly effective disease modifying therapy (DMT) in relapsing-remitting multiple sclerosis (RRMS), was approved for clinical use in Hungary on February 1, 2010. In this study we aimed to assess its effectiveness in view of the concept of "No Evidence of Disease Activity" (NEDA-3), furthermore evaluate its effect on limb function, pathopsychological symptoms (cognition, fatigue, depression) and quality of life (QoL). Patients and methods From February 1, 2010, to December 1, 2022, 121 eligible patients were consecutively enrolled from the MS center of the University of Szeged, Hungary. Here, we report data on 6-years of follow-up. First, we evaluated the proportion of patients reaching the NEDA-3 state and any possible influencing factors. Then, we assessed the change of upper and lower limb functions via the 9-hole-peg test (9HPT) and the 25-feet walk test (TW25F). Finally, we assessed the change of pathopsychological symptoms (cognition, fatigue, depression) and QoL via the BICAMS, FIS, BDI-II and MSQoL-54 questionnaires, and the possible influencing factors behind it. Results Cumulatively, 97 patients (80.2 %) achieved NEDA-3 throughout the follow-up period. On a year-by-year basis, the proportion changed from 95.9 % in the 1st year to 84.3 %, 81.3 %, 76.4 %, 74.5 % and 78.9 % in the 2nd, 3rd, 4th, 5th and 6th year respectively (p<0.001). Baseline EDSS scores and the type of preceding DMT affected this outcome. Both the upper and the lower limb functions remained stable. Cognitive functions improved (p<0.001), fatigue and depression scores remained stable during the follow-up period. QoL remained stable or improved in all subscales of MSQoL-54 questionnaire. Conclusion Our 6-years long detailed follow-up study demonstrates that NAT not only reduces disease activity and progression. It effectively protects from the worsening of limb function, cognitive and other psychological impairments, and stabilizes the patients' quality of life in basically every measurable aspect.
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Affiliation(s)
- Dániel Sandi
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsófia Kokas
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsigmond Tamás Kincses
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
- Department of Radiology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Judit Füvesi
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsanett Fricska-Nagy
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Erika Vörös
- Department of Radiology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Tamás Biernacki
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - László Vécsei
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
- ELKH-SZTE Neuroscience Research Group, University of Szeged, Szeged, Hungary
| | - Péter Klivényi
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Krisztina Bencsik
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
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Al-Shibli R, Al-Asmi A, Islam MM, Al Sabahi F, Al-Aamri A, Butt M, Al-Lawati M, Al-Hashmi L, Al-Yahmadi J. Seasonal Variations in Multiple Sclerosis Relapses in Oman: A Single Tertiary Centre Experience. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:1371. [PMID: 39457344 PMCID: PMC11507384 DOI: 10.3390/ijerph21101371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Revised: 09/25/2024] [Accepted: 10/14/2024] [Indexed: 10/28/2024]
Abstract
(1) Background and Aims: The seasonal factors influencing multiple sclerosis (MS) relapses remain elusive. This study aims to investigate the seasonal variation of MS relapses in Oman and compare it globally. (2) Subject and Methods: This retrospective study was conducted on N = 183 Omani MS patients treated at Sultan Qaboos University Hospital, a tertiary hospital in Muscat, Oman, over sixteen-year period (2007-2022). Demographic and clinical data of all MS patients were juxtaposed with the monthly weather data during this period, using descriptive and inferential statistical techniques. (3) Results: Among the N = 183 MS patients studied, 508 relapses were recorded during the study period. The average number of relapses per patient was 2.8 (range: 1-15). There were significant seasonal variations in MS relapse rate, with the highest prevalence in the winter months of January and February. However, no correlation was found between MS relapses and other climatic parameters (humidity, temperature, and rainfall). (4) Conclusion: The seasonal patterns of MS relapses in Oman differ from other parts of the world, which the local clinicians should take into account while diagnosing and making management decisions. The potential impact of climate change on the anomalous changes in the seasonality of MS relapses warrants further investigation.
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Affiliation(s)
- Rashid Al-Shibli
- College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman; (R.A.-S.); (M.A.-L.); (L.A.-H.); (J.A.-Y.)
| | - Abdullah Al-Asmi
- Neurology Unit, Department of Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman
| | - M. Mazharul Islam
- Department of Statistics, College of Science, Sultan Qaboos University, P.O. Box 36, Al-Khoud, Muscat 123, Oman;
| | - Fatema Al Sabahi
- Neurology Unit, Department of Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman
| | - Amira Al-Aamri
- Department of Operation Management & Business Statistics, College of Economics and Political Science, Sultan Qaboos University, P.O. Box 20, Muscat 123, Oman;
| | - Mehwish Butt
- Neurology Unit, Department of Medicine, Sultan Qaboos University Hospital, University Medical City, P.O. Box 35, Al-Khoud, Muscat 123, Oman;
| | - Meetham Al-Lawati
- College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman; (R.A.-S.); (M.A.-L.); (L.A.-H.); (J.A.-Y.)
| | - Lubna Al-Hashmi
- College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman; (R.A.-S.); (M.A.-L.); (L.A.-H.); (J.A.-Y.)
| | - Jihad Al-Yahmadi
- College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman; (R.A.-S.); (M.A.-L.); (L.A.-H.); (J.A.-Y.)
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Friesen E, Sheft M, Hari K, Palmer V, Zhu S, Herrera S, Buist R, Jiang D, Li XM, Del Bigio MR, Thiessen JD, Martin M. Quantitative Analysis of Early White Matter Damage in Cuprizone Mouse Model of Demyelination Using 7.0 T MRI Multiparametric Approach. ASN Neuro 2024; 16:2404366. [PMID: 39400556 PMCID: PMC11792140 DOI: 10.1080/17590914.2024.2404366] [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: 10/15/2024] Open
Abstract
Magnetic Resonance Imaging (MRI) is commonly used to follow the progression of neurodegenerative conditions, including multiple sclerosis (MS). MRI is limited by a lack of correlation between imaging results and clinical presentations, referred to as the clinico-radiological paradox. Animal models are commonly used to mimic the progression of human neurodegeneration and as a tool to help resolve the paradox. Most studies focus on later stages of white matter (WM) damage whereas few focus on early stages when oligodendrocyte apoptosis has just begun. The current project focused on these time points, namely weeks 2 and 3 of cuprizone (CPZ) administration, a toxin which induces pathophysiology similar to MS. In vivo T2-weighted (T2W) and Magnetization Transfer Ratio (MTR) maps and ex vivo Diffusion Tensor Imaging (DTI), Magnetization Transfer Imaging (MTI), and relaxometry (T1 and T2) values were obtained at 7 T. Significant changes in T2W signal intensity and non-significant changes in MTR were observed to correspond to early WM damage, whereas significant changes in both corresponded with full demyelination. Some DTI metrics decrease with simultaneous increase in others, indicating acute demyelination. MTI metrics T2A, T2B, f and R were observed to have contradictory changes across CPZ administration. T1 relaxation times were observed to have stronger correlations to disease states during later stages of CPZ treatment, whereas T2 had weak correlations to early WM damage. These results all suggest the need for multiple metrics and further studies at early and late time points of demyelination. Further research is required to continue investigating the interplay between various MR metrics during all weeks of CPZ administration.
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Affiliation(s)
- Emma Friesen
- Department of Chemistry, University of Winnipeg, Winnipeg, Canada
| | - Maxina Sheft
- Department of Physics, University of Winnipeg, Winnipeg, Canada
- Massachusetts Institute of Technology, Cambridge, USA
| | - Kamya Hari
- Department of Physics, University of Winnipeg, Winnipeg, Canada
- Electronics and Communication Engineering, SSN College of Engineering, Chennai, India
| | - Vanessa Palmer
- Department of Biomedical Engineering, University of Manitoba, Winnipeg, Canada
- Cubresa Inc, Winnipeg, Canada
| | - Shenghua Zhu
- Department of Neuroradiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sheryl Herrera
- Department of Physics, University of Winnipeg, Winnipeg, Canada
- Cubresa Inc, Winnipeg, Canada
| | - Richard Buist
- Department of Radiology, University of Manitoba, Winnipeg, Canada
| | - Depeng Jiang
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Xin-Min Li
- Department of Psychiatry, University of Alberta, Edmonton, Canada
| | | | - Jonathan D. Thiessen
- Imaging Program, Lawson Health Research Institute, London, Canada
- Department of Medical Biophysics, Western University, London, Canada
| | - Melanie Martin
- Department of Physics, University of Winnipeg, Winnipeg, Canada
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Johansson E, Olsson T, Strid P, Kockum I, Alfredsson L, Hedström AK. Adolescent sleep patterns, genetic predisposition, and risk of multiple sclerosis. Sleep 2024; 47:zsae156. [PMID: 38975699 PMCID: PMC11467049 DOI: 10.1093/sleep/zsae156] [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: 04/05/2024] [Revised: 06/06/2024] [Indexed: 07/09/2024] Open
Abstract
STUDY OBJECTIVES Shift work, insufficient sleep, and poor sleep quality at young age have been associated with increased risk of multiple sclerosis (MS). This study aimed to investigate the potential interaction between aspects of inadequate sleep (short sleep, phase shift, and poor sleep quality) during adolescence and HLA-DRB1*15:01 in relation to MS risk. METHODS We used a Swedish population-based case-control study (1253 cases and 1766 controls). Participants with different sleep patterns during adolescence and HLA-DRB1*15:01 status were compared regarding MS risk by calculating odds ratios with 95% confidence intervals (CI) using logistic regression models. Additive interaction between aspects of inadequate sleep and HLA-DRB1*15:01 status was assessed by calculating the attributable proportion due to interaction (AP) with 95% CI. RESULTS Short sleep duration (<7 hours/night) during adolescence acted synergistically with HLA-DRB1*15:01, increasing the risk of MS (AP 0.38, 95% CI: 0.01 to 0.75, p = .04). Similarly, subjective low sleep quality during adolescence interacted with HLA-DRB1*15:01 regarding risk of MS (AP 0.30, 95% CI: 0.06 to 0.56, p = .03), whereas phase shift did not significantly influence the risk of the disease, irrespective of HLA-DRB1*15:01 status. CONCLUSIONS Our findings underscore the importance of addressing inadequate sleep during adolescence, particularly in the context of the HLA-DRB1*15:01 allele, as it appears to amplify the risk of subsequently developing MS.
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Affiliation(s)
- Eva Johansson
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Olsson
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Pernilla Strid
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid Kockum
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Anna Karin Hedström
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
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Batran RA, Kamel M, Bahr A, Waheb J, Khalil A, Elsokary M. Multiple sclerosis: economic burden, therapeutic advances, and future forecasts in the Middle East and North Africa region. Expert Rev Pharmacoecon Outcomes Res 2024; 24:873-882. [PMID: 38832693 DOI: 10.1080/14737167.2024.2364832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 06/03/2024] [Indexed: 06/05/2024]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a persistent condition characterized by immune-mediated processes in the central nervous system, affecting around 2.8 million individuals globally. While historically less prevalent in the Middle East and North Africa (MENA) region, recent trends mirror the global rise in MS. AREA COVERED The impact of MS is substantial, particularly in the MENA region, with costs per patient surpassing nominal GDP per capita in certain countries. Disease-modifying therapies aim to alleviate MS effects, but challenges persist, especially in managing progressive MS as it shifts from inflammatory to neurodegenerative phases. Limited resources in the MENA region hinder care delivery, though awareness initiatives and multidisciplinary centers are emerging. Contrary to global projections of a decline in the MS market, the MENA region is poised for growth due to increased prevalence, healthcare expenditures, and infrastructure investments. EXPERT OPINION This review underscores the urgent necessity for effective treatments, robust disease management, and early diagnosis in tackling MS's repercussions in the MENA region. Bolstering resources tailored to MS patients and elevating the quality of care stand as pivotal strategies for enhancing health outcomes in this context. Taking decisive action holds the key to enhancing the overall well-being of individuals grappling with MS.
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Affiliation(s)
- Radwa Ahmed Batran
- Medical Affairs Department, Volaris LLC, Dubai, UAE
- Clinical Pharmacy & HEOR, Cairo University Hospitals, Cairo, Egypt
| | - Mohab Kamel
- Medical Affairs Department, Volaris LLC, Dubai, UAE
| | - Ayman Bahr
- Medical Affairs Department, Volaris LLC, Jeddah, Saudi Arabia
| | - Joseph Waheb
- Medical Affairs Department, Volaris LLC, Cairo, Egypt
| | - Ahmed Khalil
- Medical Affairs Department, Volaris LLC, Dubai, UAE
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36
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Heward KD, Roy-Hewitson C, Solomon AJ. Multiple sclerosis presenting with paroxysmal symptoms: Patients at the limitations of current diagnostic criteria. Mult Scler 2024; 30:1566-1570. [PMID: 38751226 DOI: 10.1177/13524585241253513] [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: 10/25/2024]
Abstract
Paroxysmal neurological symptoms in patients with multiple sclerosis (MS) have long been acknowledged. However, consideration of whether such symptoms are a clinical attack and sufficient for fulfillment of MS diagnostic criteria has varied as criteria have evolved over time. Previous studies and anecdotal reports indicate that some patients with MS first present with syndromes such as trigeminal neuralgia, Lhermitte's phenomenon, tonic spasm, and seizure years before an attack typical of MS such as optic neuritis or myelitis. We discuss four patients with presumed MS who initially presented with these syndromes with evidence of a corresponding central nervous system (CNS) lesion who, were these symptoms considered an attack, could have been diagnosed with relapsing remitting MS or clinically isolated syndrome. This case series aims to highlight the unmet need for data for such patient presentations and for clinical guidance from future MS diagnostic criteria to optimize care.
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Affiliation(s)
- Karl D Heward
- Department of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA
| | - Chantal Roy-Hewitson
- Department of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA
| | - Andrew J Solomon
- Department of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA
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Pfaff L, Mondino M, Loeb Q, Noblet V, Berthe C, Kremer L, Bigaut K, Collongues N, De Seze J. Teriflunomide, cognition and MRI: A longitudinal study. Mult Scler Relat Disord 2024; 90:105793. [PMID: 39197351 DOI: 10.1016/j.msard.2024.105793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 06/27/2024] [Accepted: 07/29/2024] [Indexed: 09/01/2024]
Abstract
BACKGROUND As cognitive impairment in multiple sclerosis (MS) is a frequent and disabling symptom, it is particularly important to identify treatments that have proven efficacy in this aspect of the disease. Several disease-modifying therapies for MS have been evaluated and shown to have a potential effect on cognition and its neurobiological correlates, but to date there is very little data on Teriflunomide (TRF). The aim of this study is to explore the influence of TRF on comprehensive cognitive function and its MRI correlations (global and focal brain volume) in relapsing-remitting multiple sclerosis (RRMS) after two years of therapy. METHODS Twenty-four patients with RRMS were evaluated at baseline and after two years of treatment with BCcogSEP, a French translation of the Brief Repeatable Battery (BRB-N) including 3 additional tests. We explored the performance evolution for each test and correlation with MRI data for all patients. We also differentiated MS patients with and without cognitive impairment. RESULTS After two years of treatment, an improvement is observed at the Selective Reminding Test for mean number of words (p = 0.044), learning (p = 0.018), and delayed recall (p = 0.002) and at GoNoGo task (p = 0.022). At MRI, the corpus callosum volume variation correlates positively with SRT total recall test (p = 0,047). Intergoup analysis shows that the evolution of group performance differs only for the SRT total recall test. The comparison of patients with or without cognitive impairment showed a clear difference in white matter substance volume (p = 0,003) and in the Percentage Brain Volume Change (p = 0,016). CONCLUSION Results suggest that TRF treatment in RRMS has a positive effect in cognitive function, and specifically on long term verbal memory and inhibition. Neuroimaging data suggest a link between cognition and global and focal white matter volume, particularly in the corpus callosum which is involved in anatomical disconnection syndrome and therefore brain plasticity capacities.
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Affiliation(s)
- L Pfaff
- University of Strasbourg, Strasbourg, Biopathology of Myelin, Neuroprotection and Therapeutic Strategies, INSERM U1119, Strasbourg, France.
| | - M Mondino
- University of Strasbourg, CNRS UMR 7357, ICube, FMTS, Strasbourg, France
| | - Q Loeb
- University of Strasbourg, CNRS UMR 7357, ICube, FMTS, Strasbourg, France
| | - V Noblet
- University of Strasbourg, CNRS UMR 7357, ICube, FMTS, Strasbourg, France
| | - C Berthe
- University Hospitals of Strasbourg, CIC (Clinical Investigation Centre) INSERM 1434 and Neurology Department, Strasbourg, France
| | - L Kremer
- University Hospitals of Strasbourg, CIC (Clinical Investigation Centre) INSERM 1434 and Neurology Department, Strasbourg, France
| | - K Bigaut
- University Hospitals of Strasbourg, CIC (Clinical Investigation Centre) INSERM 1434 and Neurology Department, Strasbourg, France
| | - N Collongues
- University Hospitals of Strasbourg, CIC (Clinical Investigation Centre) INSERM 1434 and Neurology Department, Strasbourg, France
| | - J De Seze
- University Hospitals of Strasbourg, CIC (Clinical Investigation Centre) INSERM 1434 and Neurology Department, Strasbourg, France
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Yazdan Panah M, Vaheb S, Moases Ghaffary E, Shaygannejad V, Zabeti A, Mirmosayyeb O. Bone loss and fracture in people with multiple sclerosis: A systematic review and meta-analysis. Mult Scler Relat Disord 2024; 90:105773. [PMID: 39068819 DOI: 10.1016/j.msard.2024.105773] [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: 05/22/2024] [Revised: 06/29/2024] [Accepted: 07/14/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND People with multiple sclerosis (PwMS) exhibit reduced bone mineral density (BMD) across several anatomical regions. Studies have indicated that PwMS are at a heightened risk of fractures due to decreased BMD and increased prevalence of osteopenia and osteoporosis. This study aimed to investigate the prevalence and risk of osteopenia, osteoporosis, and fracture among PwMS. METHODS Relevant studies were identified through comprehensive searches of databases (PubMed/MEDLINE, Scopus, Embase, and Web of Science) from January 1, 2000, to January 21, 2024. R software version 4.4.0 and random-effects models were employed to estimate the pooled prevalence, odds ratio (OR), and risk ratio (RR) of osteopenia, osteoporosis, and fracture among PwMS, along with their respective 95 % confidence intervals (CIs). RESULTS From a total of 2039 articles, 51 studies with 1,503,785 PwMS met our inclusion criteria. The pooled prevalence of osteopenia, osteoporosis, and overall fracture among PwMS was 41.41 % (95 % CI: 36.14% to 46.69 %, I2=97 %), 14.21 % (95 % CI: 10.75 % to 17.68 %, I2=99 %), and 12.84 % (95 % CI: 8.49 % to 17.19 %, I2 = 100 %), respectively. The likelihood of osteopenia (OR=2.02, 95 % CI: 1.46 to 2.8, p-value<0.01, I2=17 %) and osteoporosis (OR=1.71, 95 % CI: 1.27 to 2.31, p-value<0.01, I2=74 %), as well as the probability of overall fracture (RR=1.86, 95 % CI: 1.61 to 2.14, p-value<0.01, I2=74 %) were significantly higher in PwMS than healthy controls (HCs). CONCLUSION PwMS were at a substantially increased risk of developing osteopenia (2-fold), osteoporosis (1.7-fold), and overall fractures (1.9-fold). Well-designed studies are needed to explore these associations further.
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Affiliation(s)
- Mohammad Yazdan Panah
- Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran; Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Saeed Vaheb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Elham Moases Ghaffary
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Vahid Shaygannejad
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Aram Zabeti
- Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
| | - Omid Mirmosayyeb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
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Heesen C. Treatment effect modifiers of immunotherapies for relapsing-remitting multiple sclerosis-A systematic review and meta-analysis. Mult Scler J Exp Transl Clin 2024; 10:20552173241274618. [PMID: 39493424 PMCID: PMC11528564 DOI: 10.1177/20552173241274618] [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: 03/07/2024] [Accepted: 07/25/2024] [Indexed: 11/05/2024] Open
Abstract
Background This meta-analysis aimed to assess the treatment effects of immunotherapies in subgroups of adults with clinically isolated syndrome or relapsing forms of multiple sclerosis (MS) and the effect of potential treatment effect modifiers (TEMs). Methods Phase 2 and 3 RCTs with a placebo comparator were analyzed. Risk of bias was assessed. Random-effects meta-analyses were conducted to summarize treatment effects within subgroups and differences in treatment effects between subgroups. Results Thirty-one studies were included. Age < 40 years was the strongest TEM for relapse rate across DMTs with a ratio of rate ratios (RRR) of 1.44 (95% CI 1.09-1.90; 7 studies). Disability progression was influenced by age (ratio of hazard ratios, RHR 1.59, 95% CI 1.11-2.29; 4 studies). Dichotomizing patients based on EDSS cut-offs (EDSS 2.0 and 3.0) also showed a significantly higher benefit for those less disabled for relapse rate (RRR 1.35, CI 1.03-1.76; 8 studies). Sex, baseline MRI parameters, previous immunotherapy, and clinical presentation showed no effect in this meta-analysis. Conclusion Age < 40 is a robust TEM for a lower relapse rate as well as less disability progression across six MS immunotherapies. Additionally, a lower baseline EDSS was predictive of the relapse rate.
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Affiliation(s)
- Christoph Heesen
- Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center, Hamburg, Germany
Department of Neurology, University Medical Center, Hamburg, Germany
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Jiang T, Shanmugasundaram M, Božin I, Freedman MS, Lewin JB, Shen C, Ziemssen T, Arnold DL. Comparative efficacy of diroximel fumarate, ozanimod and interferon beta-1a for relapsing multiple sclerosis using matching-adjusted indirect comparisons. J Comp Eff Res 2024; 13:e230161. [PMID: 39158844 PMCID: PMC11428343 DOI: 10.57264/cer-2023-0161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 07/26/2024] [Indexed: 08/20/2024] Open
Abstract
Aim: Diroximel fumarate (DRF), ozanimod (OZA) and interferon beta-1a (IFN) are disease-modifying therapies approved for the treatment of relapsing multiple sclerosis. No randomized trials have compared DRF versus OZA and IFN. We compared DRF versus OZA and DRF versus IFN using matching-adjusted indirect comparisons for efficacy outcomes, including annualized relapse rate (ARR), 12- and 24-week confirmed disability progression (CDP) and absence of gadolinium-enhancing (Gd+) T1 lesions and new/newly enlarging T2 lesions. Patients & methods: We used individual patient data from EVOLVE-MS-1 (NCT02634307), a 2-year, open-label, single-arm, phase III study of DRF (n = 1057) and aggregate data from RADIANCE (NCT02047734), a 2-year, double-blind, phase III study that compared OZA 1 mg once daily (n = 433) and intramuscular IFN 30 μg once weekly (n = 441). To account for cross-trial differences, the EVOLVE-MS-1 population was restricted to those who met the inclusion/exclusion criteria for RADIANCE, then weighted to match the average baseline characteristics of RADIANCE. Results: After weighting, DRF and OZA had similar ARRs (0.18 and 0.17, respectively), with a rate difference (DRF vs OZA) of 0.01 (95% confidence interval [CI]: -0.04 to 0.06). DRF had a lower ARR than IFN (0.18 and 0.28, respectively), with a rate difference (DRF vs IFN) of -0.10 (95% CI: -0.16 to -0.04) after weighting. Outcomes for 12- and 24-week CDP favored DRF versus OZA; 12-week CDP favored DRF versus IFN, but there was not strong evidence favoring DRF over IFN for 24-week CDP. Compared with OZA and IFN, DRF had higher proportions of patients without Gd+ T1 lesions and patients without new/newly enlarging T2 lesions. Conclusion: Disability progression and radiological outcomes were favorable for DRF versus OZA, although no differences were observed in ARR. Clinical and radiological outcomes generally favored DRF versus IFN. These findings may be informative for patients and clinicians considering different treatment options for MS.
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Affiliation(s)
| | | | | | - Mark S Freedman
- University of Ottawa, Department of Medicine & the Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6, Canada
| | | | | | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Carl Gustav Carus University Hospital, 01307, Dresden, Germany
| | - Douglas L Arnold
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
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Amatya B, Khan F, Song K, Galea M. Effectiveness of Non-Pharmacological Interventions for Spasticity Management in Multiple Sclerosis: A Systematic Review. Ann Rehabil Med 2024; 48:305-343. [PMID: 39497494 PMCID: PMC11540453 DOI: 10.5535/arm.240064] [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: 07/15/2024] [Revised: 08/26/2024] [Accepted: 09/05/2024] [Indexed: 11/08/2024] Open
Abstract
This systematic review aims to determine the effectiveness of non-pharmacological interventions for the management of spasticity in people with multiple sclerosis (pwMS). A comprehensive literature search in health science databases (MEDLINE, Embase, CENTRAL, CINHAL) was performed to identify randomized controlled trials (RCTs) (up to April 2024). Manual searching in journals and screening of the reference lists of identified studies were conducted. Two authors independently selected the studies, assessed the methodological quality, and summarized the evidence. A meta-analysis was not feasible due to the methodological, clinical, and statistical diversity of the included studies. Overall, 32 RCTs (n=1,481 participants) investigated various types of non-pharmacological interventions including: physical activity, transcranial magnetic stimulation (intermittent theta burst stimulation [iTBS], repetitive transcranial magnetic stimulation [rTMS]), electromagnetic therapy, transcutaneous electrical nerve stimulation, vibration therapy, shock wave therapy, self-management educational programs, and acupuncture. All studies scored 'low' on the methodological quality assessment, implying a high risk of bias. The findings suggest 'moderate to low certainty' evidence for physical activity programs used in isolation or combination with other interventions (pharmacological or non-pharmacological), and for iTBS/rTMS with or without adjuvant exercise therapy in improving spasticity in adults with MS. There is 'very low certainty' evidence supporting the use of other modalities for treating spasticity in this population. Despite a wide range of non-pharmacological interventions used for the management of spasticity in pwMS, there is a lack of conclusive evidence for many. More robust trials with larger sample sizes and longer-term follow-ups are needed to build evidence for these interventions.
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Affiliation(s)
- Bhasker Amatya
- Department of Rehabilitation Medicine, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Rehabilitation, Peter MacCallum Cancer Centre, Parkville, Australia
- Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Australia
| | - Fary Khan
- Department of Rehabilitation Medicine, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Rehabilitation, Peter MacCallum Cancer Centre, Parkville, Australia
- Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Australia
| | - Krystal Song
- Department of Rehabilitation Medicine, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Australia
| | - Mary Galea
- Department of Rehabilitation Medicine, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Australia
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42
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Friesen E, Hari K, Sheft M, Thiessen JD, Martin M. Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review. MAGMA (NEW YORK, N.Y.) 2024; 37:765-790. [PMID: 38635150 DOI: 10.1007/s10334-024-01160-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 03/17/2024] [Accepted: 03/26/2024] [Indexed: 04/19/2024]
Abstract
Neurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EAE), Theiler's Murine Encephalomyelitis (TMEV), and toxin models including cuprizone (CPZ), lysolecithin, and ethidium bromide (EtBr). A contrast and comparison of these models is presented, with focus on the cuprizone model, followed by a review of literature studying neurodegeneration using MRI and the cuprizone model. Conventional MRI methods including T1 Weighted (T1W) and T2 Weighted (T2W) Imaging are mentioned. Quantitative MRI methods which are sensitive to diffusion, magnetization transfer, susceptibility, relaxation, and chemical composition are discussed in relation to studying the CPZ model. Overall, additional studies are needed to improve both the sensitivity and specificity of MRI metrics for underlying pathophysiology of neurodegeneration and the relationships in attempts to clear the clinico-radiological paradox. We therefore propose a multiparametric approach for the investigation of MR metrics for underlying pathophysiology.
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Affiliation(s)
- Emma Friesen
- Chemistry, University of Winnipeg, Winnipeg, Canada.
| | - Kamya Hari
- Physics, University of Winnipeg, Winnipeg, Canada
- Electronics and Communication Engineering, SSN College of Engineering, Chennai, India
| | - Maxina Sheft
- Physics, University of Winnipeg, Winnipeg, Canada
- Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, USA
| | - Jonathan D Thiessen
- Imaging Program, Lawson Health Research Institute, London, Canada
- Medical Biophysics, Western University, London, Canada
- Medical Imaging, Western University, London, Canada
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43
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Bsteh G, Aicher ML, Walde JF, Krajnc N, Haider L, Traxler G, Gradl C, Salmen A, Riedl K, Poskaite P, Leyendecker P, Altmann P, Auer M, Berek K, Di Pauli F, Kornek B, Leutmezer F, Rommer PS, Zulehner G, Zrzavy T, Deisenhammer F, Chan A, Berger T, Hoepner R, Hammer H, Hegen H. Association of Disease-Modifying Treatment With Outcome in Patients With Relapsing Multiple Sclerosis and Isolated MRI Activity. Neurology 2024; 103:e209752. [PMID: 39197111 DOI: 10.1212/wnl.0000000000209752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Isolated value of MRI metrics in relapsing multiple sclerosis (RMS) as a surrogate marker of response to disease-modifying treatment (DMT) and, thus, as decision criteria for DMT escalation in the absence of clinical signs of disease activity is still a matter of debate. The aim of this study was to investigate whether DMT escalation based on isolated MRI activity affects clinical outcome. METHODS Combining data from 5 MS centers in Austria and Switzerland, we included patients with RMS aged at least 18 years who (1) had initiated first-line, low-to-moderate-efficacy DMT (interferon β, glatiramer acetate, teriflunomide, or dimethyl fumarate) continued for ≥12 months, (2) were clinically stable (no relapses or disability progression) on DMT for 12 months, (3) had MRI at baseline and after 12 months on DMT, and (4) had available clinical follow-up for ≥2 years after the second MRI. The primary endpoint was occurrence of relapse during follow-up. The number of new T2 lesions (T2L) and DMT strategy (continuing low-/moderate-efficacy DMT vs escalating DMT) were used as covariates in regression analyses. RESULTS A total of 131 patients with RMS, median age of 36 (25th-75th percentiles: 29-43) years, 73% women, were included and observed over a median period of 6 (5-9) years after second MRI. Sixty-two (47%) patients had relapse. Patients who continued first-line DMT had a 3-fold increased risk of relapse given 2 new T2L (hazard ratio [HR] 3.2, lower limit [LL] of 95% CI: 1.5) and a 4-fold increased risk given ≥3 new T2L (HR 4.0, LL-CI: 2.1). Escalation of DMT lowered the risk of relapse in patients with 2 new T2L by approximately 80% (HR 0.2, upper limit [UL] of 95% CI: 1.3) and with ≥3 new T2L by 70% (HR 0.3, UL-CI: 0.8). In case of only 1 new T2L, the increased risk of relapse and the treatment effect did not reach statistical significance of 5%. DISCUSSION In our real-world cohort of patients clinically stable under low-to-moderate-efficacy DMT, escalation of DMT based on isolated MRI activity decreased risk of further relapse when at least 2 new T2L had occurred. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that clinically stable patients with MS on low-/moderate-efficacy DMT with ≥3 new T2L on MRI who escalate DMT have a reduced risk of relapse and Expanded Disability Status Scale progression.
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Affiliation(s)
- Gabriel Bsteh
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Marie L Aicher
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Janette F Walde
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Nik Krajnc
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Lukas Haider
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Gerhard Traxler
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Christiane Gradl
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Anke Salmen
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Katharina Riedl
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Paulina Poskaite
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Philipp Leyendecker
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Patrick Altmann
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Michael Auer
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Klaus Berek
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Franziska Di Pauli
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Barbara Kornek
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Fritz Leutmezer
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Paulus S Rommer
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Gudrun Zulehner
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Tobias Zrzavy
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Florian Deisenhammer
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Andrew Chan
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Thomas Berger
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Robert Hoepner
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Helly Hammer
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Harald Hegen
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
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Wu J, Olsson T, Hillert JA, Alfredsson L, Hedström AK. Association Between Alcohol Consumption and Disability Accumulation in Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200289. [PMID: 39088840 PMCID: PMC11379438 DOI: 10.1212/nxi.0000000000200289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/03/2024]
Abstract
BACKGROUND AND OBJECTIVES Previous studies have indicated that alcohol consumption is associated with multiple sclerosis (MS) disease progression. We aimed to study the influence of alcohol consumption habits on disease progression and health-related quality of life in MS. METHODS We categorized patients from 2 population-based case-control studies by alcohol consumption habits at diagnosis and followed them up to 15 years after diagnosis through the Swedish MS registry regarding changes in the Expanded Disability Status Scale (EDSS) and Multiple Sclerosis Impact Scale 29 (MSIS-29). We used Cox regression models with 95% confidence intervals (CIs) using 24-week confirmed disability worsening, EDSS 3, EDSS 4, and physical and psychological worsening from the patient's perspective as end points. RESULTS Our study comprised 9,051 patients with MS, with a mean age of 37.5 years at baseline/diagnosis. Compared with nondrinking, low and moderate alcohol consumption was associated with reduced risk of EDSS-related unfavorable outcomes (hazard ratios between 0.81 and 0.90) and with reduced risk of physical worsening. The inverse association was confined to relapsing-remitting MS and was more pronounced among women. High alcohol consumption did not significantly affect disease progression. The inverse relationship between low-moderate alcohol consumption and disability progression became stronger when we only included those who had not changed their alcohol consumption during follow-up (hazard ratios between 0.63 and 0.71). There were no differences in measures of disability at baseline between drinkers who continued drinking alcohol after diagnosis and those who later discontinued. Our findings speak against bias due to reverse causation. DISCUSSION Low and moderate alcohol consumption was associated with more favorable outcomes in relapsing-remitting MS, compared with nondrinking, while there was no significant influence of high alcohol consumption on disease outcomes.
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Affiliation(s)
- Jing Wu
- From the Institute of Environmental Medicine (J.W., L.A.); Department of Clinical Neuroscience (T.O., J.A.H., L.A., A.K.H.), Karolinska Institutet; and Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm, Stockholm, Sweden
| | - Tomas Olsson
- From the Institute of Environmental Medicine (J.W., L.A.); Department of Clinical Neuroscience (T.O., J.A.H., L.A., A.K.H.), Karolinska Institutet; and Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm, Stockholm, Sweden
| | - Jan A Hillert
- From the Institute of Environmental Medicine (J.W., L.A.); Department of Clinical Neuroscience (T.O., J.A.H., L.A., A.K.H.), Karolinska Institutet; and Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm, Stockholm, Sweden
| | - Lars Alfredsson
- From the Institute of Environmental Medicine (J.W., L.A.); Department of Clinical Neuroscience (T.O., J.A.H., L.A., A.K.H.), Karolinska Institutet; and Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm, Stockholm, Sweden
| | - Anna Karin Hedström
- From the Institute of Environmental Medicine (J.W., L.A.); Department of Clinical Neuroscience (T.O., J.A.H., L.A., A.K.H.), Karolinska Institutet; and Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm, Stockholm, Sweden
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Schmidt MF, Pihl-Jensen G, Larsen M, Frederiksen JL. Longitudinal Optical Coherence Tomography Imaging Reveals Hyperreflective Foci Characteristics in Relapsing-Remitting Multiple Sclerosis Patients. J Clin Med 2024; 13:5056. [PMID: 39274270 PMCID: PMC11396612 DOI: 10.3390/jcm13175056] [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: 07/02/2024] [Revised: 08/13/2024] [Accepted: 08/20/2024] [Indexed: 09/16/2024] Open
Abstract
Background/Objectives: Retinal hyperreflective foci, 25-50 µm in diameter, that can be imaged by noninvasive optical coherence tomography (OCT) may represent microglial activity related to inflammation. This study aimed to detect hyperreflective foci in the OCT-hyporeflective avascular outer nuclear layer of the retina in relapsing-remitting MS (RRMS) patients without ongoing eye or optic nerve disease. Methods: A cohort of 13 RRMS patients (8 eyes with and 18 eyes without prior optic neuritis) underwent retinal OCT at baseline, after 1 month, after 6 months, and then every 6 months for 3 years. The data were compared with single-examination data from 106 eyes in 53 age-matched healthy subjects. Results: The prevalence of hyperreflective foci at baseline was higher in RRMS patients than in healthy subjects (46.2% vs. 1.8%, p < 0.005). Patients with optic neuritis had much more foci than those without (p < 0.001). Hyperreflective foci recurred in 23.1% of RRMS patients, bilaterally in one with prior optic neuritis and unilaterally in two without. Conclusions: Patients with RRMS, notably those with prior optic neuritis, had elevated rates of retinal infiltration in the absence of retinal disease, suggesting that the phenomenon may represent elevated activity of an immune surveillance or housekeeping mechanism rather than retinal disease.
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Affiliation(s)
- Mathias Falck Schmidt
- Department of Neurology, Clinic of Optic Neuritis, The Danish Multiple Sclerosis Center (DMSC), Rigshospitalet and University of Copenhagen, Valdemar Hansens Vej 13, 2600 Glostrup, Denmark
| | - Gorm Pihl-Jensen
- Department of Neurology, Clinic of Optic Neuritis, The Danish Multiple Sclerosis Center (DMSC), Rigshospitalet and University of Copenhagen, Valdemar Hansens Vej 13, 2600 Glostrup, Denmark
| | - Michael Larsen
- Department of Ophthalmology, Rigshospitalet and University of Copenhagen, 2600 Glostrup, Denmark
| | - Jette Lautrup Frederiksen
- Department of Neurology, Clinic of Optic Neuritis, The Danish Multiple Sclerosis Center (DMSC), Rigshospitalet and University of Copenhagen, Valdemar Hansens Vej 13, 2600 Glostrup, Denmark
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Orman G, Sungur G. Evaluation of demographic and neuro-ophthalmologic findings of patients with multiple sclerosis. Int Ophthalmol 2024; 44:356. [PMID: 39183241 DOI: 10.1007/s10792-024-03285-5] [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: 05/21/2023] [Accepted: 08/17/2024] [Indexed: 08/27/2024]
Abstract
PURPOSE The study aims to investigate the demographic and neuroophthalmologic features of patients with multiple sclerosis (MS). METHODS This retrospective study investigated 270 eyes of 135 patients with MS. All subjects underwent a full ophthalmological examination. RESULTS The study investigated 270 eyes of 135 patients with MS. The patients included 102 (74.8%) females and 34 (25.2%) males. The mean age at the time of diagnosis of MS was 29.9 ± 9.6 years. The mean follow-up period was 6.7 ± 10.9 months. Initial symptoms of MS at presentation included optic neuritis (ON) in 42 patients (15.6%), numbness of hands and feet in 20 patients (7.4%) and diplopia in 11 patients (4.1%). Additional diseases were observed in 29 patients (21.5%) and autoimmune diseases were observed in 11 patients (8.1%). Thirteen patients (9.62%) had relatives with MS; the relatives of five patients were first-degree relatives and the relatives of the remaining eight patients were second-degree relatives. Table 2 summarizes the additional systemic and ocular diseases and family history data. During MS, 72 patients (53.4%) were diagnosed with ON. ON was bilateral in 49 patients (68%) and unilateral in 23 patients (32%). Retrobulbar ON was observed in 77 eyes (81.6%) and papillitis was observed in 18 eyes (18.4%). Disorders of efferent visual pathway function were found in 43 patients (30.4%). CONCLUSION Visual impairments are significant in patients with MS. Although ON is the most prevalent symptom of MS, it is important to keep in mind that damage to the efferent visual system can be observed.
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Affiliation(s)
- Gözde Orman
- Department of Ophthalmology, Health Science University Ankara Training and Researching Hospital, Ankara, Turkey.
- Department of Ophthalmology, Health Science Univercity, Ankara Training and Researching Hospital, Ankara, Turkey.
| | - Gülten Sungur
- Department of Ophthalmology, Health Science University Ankara Training and Researching Hospital, Ankara, Turkey
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Schuhholz M, Ruff C, Bürkle E, Feiweier T, Clifford B, Kowarik M, Bender B. Ultrafast Brain MRI at 3 T for MS: Evaluation of a 51-Second Deep Learning-Enhanced T2-EPI-FLAIR Sequence. Diagnostics (Basel) 2024; 14:1841. [PMID: 39272626 PMCID: PMC11393910 DOI: 10.3390/diagnostics14171841] [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: 06/15/2024] [Revised: 08/18/2024] [Accepted: 08/20/2024] [Indexed: 09/15/2024] Open
Abstract
In neuroimaging, there is no equivalent alternative to magnetic resonance imaging (MRI). However, image acquisitions are generally time-consuming, which may limit utilization in some cases, e.g., in patients who cannot remain motionless for long or suffer from claustrophobia, or in the event of extensive waiting times. For multiple sclerosis (MS) patients, MRI plays a major role in drug therapy decision-making. The purpose of this study was to evaluate whether an ultrafast, T2-weighted (T2w), deep learning-enhanced (DL), echo-planar-imaging-based (EPI) fluid-attenuated inversion recovery (FLAIR) sequence (FLAIRUF) that has targeted neurological emergencies so far might even be an option to detect MS lesions of the brain compared to conventional FLAIR sequences. Therefore, 17 MS patients were enrolled prospectively in this exploratory study. Standard MRI protocols and ultrafast acquisitions were conducted at 3 tesla (T), including three-dimensional (3D)-FLAIR, turbo/fast spin-echo (TSE)-FLAIR, and FLAIRUF. Inflammatory lesions were grouped by size and location. Lesion conspicuity and image quality were rated on an ordinal five-point Likert scale, and lesion detection rates were calculated. Statistical analyses were performed to compare results. Altogether, 568 different lesions were found. Data indicated no significant differences in lesion detection (sensitivity and positive predictive value [PPV]) between FLAIRUF and axially reconstructed 3D-FLAIR (lesion size ≥3 mm × ≥2 mm) and no differences in sensitivity between FLAIRUF and TSE-FLAIR (lesion size ≥3 mm total). Lesion conspicuity in FLAIRUF was similar in all brain regions except for superior conspicuity in the occipital lobe and inferior conspicuity in the central brain regions. Further findings include location-dependent limitations of signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) as well as artifacts such as spatial distortions in FLAIRUF. In conclusion, FLAIRUF could potentially be an expedient alternative to conventional methods for brain imaging in MS patients since the acquisition can be performed in a fraction of time while maintaining good image quality.
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Affiliation(s)
- Martin Schuhholz
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University, University Hospital, 72076 Tübingen, Germany
| | - Christer Ruff
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University, University Hospital, 72076 Tübingen, Germany
| | - Eva Bürkle
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University, University Hospital, 72076 Tübingen, Germany
| | | | | | - Markus Kowarik
- Department of Neurology and Stroke, Neurological Clinic, Eberhard Karls University, University Hospital, 72076 Tübingen, Germany
| | - Benjamin Bender
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University, University Hospital, 72076 Tübingen, Germany
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Su J, Liang Y, He X. The overall and smoking-attributable burden of multiple sclerosis among older adults aged 65-89 years from 1990 to 2019 and predictions to 2040. Front Med (Lausanne) 2024; 11:1430741. [PMID: 39238595 PMCID: PMC11374621 DOI: 10.3389/fmed.2024.1430741] [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: 05/10/2024] [Accepted: 08/13/2024] [Indexed: 09/07/2024] Open
Abstract
Background The global prevalence of aging individuals with multiple sclerosis (MS) is increasing. This study aimed to assess the burden and trends of overall and smoking-attributable MS in older adults aged 65-89 years at the global, regional, and national levels. Methods The number and rates of years of life lived with disability (YLD) and years of life lost (YLL) due to MS for older adults in 204 countries and territories from 1990 to 2019 were retrieved from the Global Burden of Disease (GBD) Study 2019. Estimated annual percentage change (EAPC) in the age-standardized YLD and YLL rates were calculated to quantify the temporal trends. The Bayesian age-period-cohort model was used to predict the trends from 2020 to 2040. Results In 2019, there were an estimated 80,040 (95% uncertainty interval 57,534 to 103,608) YLD and 139,132 (107,632 to 161,172) YLL caused by MS among older adults globally. The age-standardized YLD and YLL rates decreased by an average of -0.21% (95% CI -0.26 to -0.16) and - 0.2% (95% CI -0.26 to -0.14) per year for overall MS from 1990 to 2019, respectively. The number of YLL globally in 2019 was 7,891 (5,003 to 10,991) and 15,667 (10,833 to 20,076) due to smoking-attributable MS. The age-standardized YLD and YLL rates decreased by an annual average of -1.14% (95% CI -1.25 to -1.04) and - 1.15% (95% CI -1.27 to -1.03) for MS attributable to smoking. Although the global age-standardized rates of YLD and YLL for MS among older adults declined from 1990 to 2019, many regions showed increases. The largest increase in age-standardized YLD rate of MS was observed in East Asia (average annual change 1.62% [95% CI: 1.56 to 1.68]), while the largest increase in the age-standardized YLL rate occurred in High-income North America (1.74% [1.53 to 1.96]). Nationally, the age-standardized YLD and YLL rates for overall and smoking-attributable MS increased exponentially with increases in SDI level (all model p < 0.001). Furthermore, projections have also indicated an expected decrease in the age-standardized rates of YLD and YLL of MS in the elderly population from 2020 to 2040. Conclusion Tracking trends in MS burden among older adults provides insights into the potential shifts in disease patterns over time. The findings lay the groundwork for informed decision-making in public health and healthcare delivery, aiming to ensure that older adults with MS receive appropriate care and support.
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Affiliation(s)
- Jiao Su
- Department of Biochemistry, Changzhi Medical College, Changzhi, China
| | - Yuanhao Liang
- Clinical Experimental Center, Jiangmen Key Laboratory of Clinical Biobanks and Translational Research, Jiangmen Central Hospital, Jiangmen, China
| | - Xiaofeng He
- Institute of Evidence-Based Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China
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Dolcetti E, Buttari F, Bruno A, Azzolini F, Gilio L, Borrelli A, Di Caprio V, Lauritano G, Galifi G, Gambardella S, Ferese R, Giardina E, Rovella V, Furlan R, Finardi A, Musella A, Balletta S, Mandolesi G, Centonze D, Stampanoni Bassi M. An IL-5 Single-Nucleotide Polymorphism Influences Neuroinflammation and Prospective Disease Activity in Multiple Sclerosis. Int J Mol Sci 2024; 25:9108. [PMID: 39201794 PMCID: PMC11354457 DOI: 10.3390/ijms25169108] [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: 07/08/2024] [Revised: 08/19/2024] [Accepted: 08/20/2024] [Indexed: 09/03/2024] Open
Abstract
(1) Multiple sclerosis (MS) is identified by a complex interaction between central inflammation and neurodegeneration. Genetic individual variability could play a significative role in clinical presentation. The interleukin-5 (IL-5) rs2069812 single-nucleotide polymorphism (SNP) seems to define the clinical course of Th2 autoimmune diseases, while its role in MS has never been investigated. (2) In a group of 230 patients diagnosed with relapsing-remitting MS (RR-MS) or progressive MS (P-MS) and controls (IC), rs2069812 polymorphism, cerebrospinal fluid (CSF) levels of inflammatory mediators, and clinical and demographic characteristics were determined. In RR-MS patients, No Evidence of Disease Activity (NEDA-3) at three years of follow-up was detected. (3) We identified higher levels of proinflammatory cytokines, particularly IL-2 (median [IQR], RR-MS = 0.2 [0-0.7]; P-MS = 0.1 [0-1.6]; IC = 0.1 [0.0-0.1]; p < 0.005), IL-6 (RR-MS = 0.9 [0.3-2.3]; P-MS = 0.8 [0.1-2.7]; IC = 0.1 [0.0-0.5]; p < 0.005), IL-12 (RR-MS = 0.5 [0-1.1]; P-MS = 0.5 [0-1.1]; IC = 0.0 [0.0-0.3]; p < 0.005), and GM-CSF (RR-MS = 15.6 [4.8-26.4]; P-MS = 14 [3.3-29.7]; IC = 8.9 [4.7-11.7]; p < 0.005) in MS patients compared with IC. Conversely, anti-inflammatory cytokines, specifically IL-5 (RR-MS = 0.65 [0-2.4]; P-MS = 0.1 [0-0.8]; IC = 1.7 [0.6-2.8]; p < 0.005) and IL-1ra (RR-MS = 14.7 [4.9-26.4]; P-MS = 13.1 [4.7-22.2]; IC = 27.8 [17.7-37.6]; p < 0.005) were higher in controls. According to rs2069812, in MS patients, the T-allele was associated with higher concentrations of proinflammatory mediators (IL-2, CT/TT = 0.2 [0.0-2.0]; CC = 0.1 [0.0-0.4], p = 0.015; IL-6, CT/TT = 1.2 [0.4-3.2] vs. CC = 0.7 [0.1-1.7], p = 0.007; IL-15, CT/TT = 0.1 [0.0-9.5] vs. CC = 0.0 [0.0-0.1], p = 0.019; and GM-CSF, CT/TT = 0.1 [0.0-0.6] vs. CC = 0.05 [0.0-0.1], p < 0.001), and CC was associated with anti-inflammatory mediators (IL-5, CT/TT = 0.03 [0.0-1.9] vs. CC = 1.28 [0.0-2.7], p = 0.001; IL-1ra, CT/TT = 12.1 [4.1-25.9] vs. CC = 18.1 [12.1-26.9], p = 0.006). We found the same differences in RR-MS patients (IL-2, T-allele median [IQR] = 0.3 [0.0-2.0] vs. C-allele, median [IQR] = 0.04 [0.0-0.3]; p = 0.005; IL-6, T-allele, median [IQR] = 1.3 [0.4-3.3] vs. C-allele, median [IQR] = 0.6 [0.03-1.5]; p = 0.001; IL-15, T-allele, median [IQR] = 0.1 [0.0-9.5] vs. C-allele, median [IQR] = 0.0 [0.0-0.1]; p = 0.008; GM-CSF, T-allele, median [IQR] = 0.1 [0.0-97.9] vs. C-allele, median [IQR] = 0.0 [0.0-0.001]; p < 0.001; IL-5, T-allele, median [IQR] = 0.02 [0.0-2.2] vs. C-allele, median [IQR] = 1.5 [0.0-2.9]; p = 0.016; and IL-1ra, T-allele, median [IQR] = 12.1 [4.3-26.4] vs. C-allele, median [IQR] = 18.5 [12.7-28.3]; p = 0.006) but not in P-MS, except for IL-5 (T-allele, median [IQR] = 0.1 [0-0.23] vs. C-allele, median [IQR] = 0.6 [0.0-2.5]; p = 0.022). Finally, we identified an association between CC in RR-MS patients and NEDA-3 after three years of follow-up (p = 0.007). (4) We describe, for the first time, the role of an SNP of the IL-5 gene in regulating central neuroinflammation and influencing clinical course in MS patients.
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Affiliation(s)
- Ettore Dolcetti
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- PhD Program in Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Fabio Buttari
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy;
| | - Antonio Bruno
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- PhD Program in Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Federica Azzolini
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
| | - Luana Gilio
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- Faculty of Psychology, Uninettuno Telematic International University, 00186 Rome, Italy
| | - Angela Borrelli
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- PhD Program in Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Veronica Di Caprio
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- PhD Program in Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Gianluca Lauritano
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
| | - Giovanni Galifi
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- PhD Program in Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Stefano Gambardella
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- Department of Biomolecular Sciences, University of Urbino “Carlo Bo”, Via I Maggetti, 26, 61029 Urbino, Italy
| | - Rosangela Ferese
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
| | - Emiliano Giardina
- Genomic Medicine Laboratory, IRCCS Fondazione Santa Lucia, Via Ardeatina, 00179 Rome, Italy;
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Valentina Rovella
- Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy;
| | - Roberto Furlan
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology (INSpe), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 20132 Milan, Italy;
- Faculty of Medicine and Surgery, Vita e Salute San Raffaele University, Via Olgettina, 20132 Milan, Italy;
| | - Annamaria Finardi
- Faculty of Medicine and Surgery, Vita e Salute San Raffaele University, Via Olgettina, 20132 Milan, Italy;
| | - Alessandra Musella
- Synaptic Immunopathology Lab, IRCCS San Raffaele Roma, Via della Pisana, 235, 00163 Rome, Italy; (A.M.); (G.M.)
- Department of Human Sciences and Quality of Life Promotion, University of Rome San Raffaele, Via della Pisana, 235, 00163 Rome, Italy
| | - Sara Balletta
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
| | - Georgia Mandolesi
- Synaptic Immunopathology Lab, IRCCS San Raffaele Roma, Via della Pisana, 235, 00163 Rome, Italy; (A.M.); (G.M.)
- Department of Human Sciences and Quality of Life Promotion, University of Rome San Raffaele, Via della Pisana, 235, 00163 Rome, Italy
| | - Diego Centonze
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy;
| | - Mario Stampanoni Bassi
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
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Wu JY, Yang JL, Hu JL, Xu S, Zhang XJ, Qian SY, Chen ML, Ali MA, Zhang J, Zha Z, Zheng GQ. Reporting quality and risk of bias of randomized controlled trials of Chinese herbal medicine for multiple sclerosis. Front Immunol 2024; 15:1429895. [PMID: 39229262 PMCID: PMC11369894 DOI: 10.3389/fimmu.2024.1429895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 07/22/2024] [Indexed: 09/05/2024] Open
Abstract
Background Multiple sclerosis (MS) is the most common non-traumatic disabling disease affecting young adults. A definitive curative treatment is currently unavailable. Many randomized controlled trials (RCTs) have reported the efficacy of Chinese herbal medicine (CHM) on MS. Because of the uncertain quality of these RCTs, the recommendations for routine use of CHM for MS remain inconclusive. The comprehensive evaluation of the quality of RCTs of CHM for MS is urgent. Methods Nine databases, namely, PubMed, Embase, Web of Science, Cochrane Library, EBSCO, Sinomed, Wanfang Database, China National Knowledge Infrastructure, and VIP Database, were searched from inception to September 2023. RCTs comparing CHM with placebo or pharmacological interventions for MS were considered eligible. The Consolidated Standards of Reporting Trials (CONSORT) and its extension for CHM formulas (CONSORT-CHM Formulas) checklists were used to evaluate the reporting quality of RCTs. The risk of bias was assessed using the Cochrane Risk of Bias tool. The selection criteria of high-frequency herbs for MS were those with cumulative frequency over 50% among the top-ranked herbs. Results A total of 25 RCTs were included. In the included RCTs, 33% of the CONSORT items and 21% of the CONSORT-CHM Formulas items were reported. Eligibility title, sample size calculation, allocation concealment, randomized implementation, and blinded description in CONSORT core items were reported by less than 5% of trials. For the CONSORT-CHM Formulas, the source and authentication method of each CHM ingredient was particularly poorly reported. Most studies classified the risk of bias as "unclear" due to insufficient information. The top five most frequently used herbs were, in order, Radix Rehmanniae Preparata, Radix Rehmanniae Recens, Herba Epimedii, Scorpio, and Poria. No serious adverse effect had been reported. Conclusions The low reporting of CONSORT items and the unclear risk of bias indicate the inadequate quality of RCTs in terms of reporting completeness and result validity. The CONSORT-CHM Formulas appropriately consider the unique characteristics of CHM, including principles, formulas, and Chinese medicinal substances. To improve the quality of RCTs on CHM for MS, researchers should adhere more closely to CONSORT-CHM Formulas guidelines and ensure comprehensive disclosure of all study design elements.
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Affiliation(s)
- Jing-Ying Wu
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Jiang-Li Yang
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Jia-Ling Hu
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Shan Xu
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Xiao-Jie Zhang
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Shi-Yan Qian
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Min-Li Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mahad Abdulkadir Ali
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Juan Zhang
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Zheng Zha
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Guo-Qing Zheng
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
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