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Lambe J, Ontaneda D. Re-defining progression in multiple sclerosis. Curr Opin Neurol 2025; 38:188-196. [PMID: 40197617 DOI: 10.1097/wco.0000000000001369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2025]
Abstract
PURPOSE OF REVIEW The purpose of this article is to provide an overview of progression in multiple sclerosis (MS), including definitions, pathological mechanisms, and evidence that progressive biology begins early in the disease course. RECENT FINDINGS Definitions of MS clinical course have been refined to acknowledge the presence of both relapse and progression biology throughout the disease. Progression independent of relapse activity represents a significant proportion of disability worsening in relapsing-remitting MS (RRMS) disease. Progression in MS appears to be caused by the complex interplay of multiple processes, including nonresolving inflammation, microglial activation, oxidative stress, mitochondrial dysfunction, energetic failure, and neuro-axonal degeneration. These processes appear to begin in the earliest disease stages and their contribution to clinical phenotypes is dynamic over time. Promising results from clinical trials of tolebrutinib, in particular, underline the utility of targeting both innate and adaptive immune mechanisms to reduce disability accumulation. SUMMARY Pathological processes that underpin MS progression are detectable early in RRMS, evolve throughout the disease course and correlate with disability accumulation. Progression in MS should not be defined dichotomously - the focus instead should be on recognizing progressive components based on clinical measures and biomarkers early in the disease to better individualize treatment strategies.
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Affiliation(s)
- Jeffrey Lambe
- Mellen Center for Multiple Sclerosis Treatment and Research, Neurology Department, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, USA
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Rocca MA, Preziosa P, Filippi M. Advances in neuroimaging of multiple sclerosis. Curr Opin Neurol 2025; 38:205-216. [PMID: 40104925 DOI: 10.1097/wco.0000000000001360] [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: 03/20/2025]
Abstract
PURPOSE OF REVIEW To summarize recent advancements in understanding multiple sclerosis (MS) pathophysiology, predicting disease course, and monitoring treatment responses using MRI. RECENT FINDINGS Paramagnetic rim lesions (PRLs) are highly specific to MS and clinically relevant. Detected from the earliest disease phases, PRLs aid in distinguishing MS from other conditions, improving diagnostic accuracy. Moreover, PRLs are associated with more severe disability and measures of brain damage and may predict disease progression. Similarly, slowly expanding lesions (SELs) are associated with more severe disability and predict a more severe disease course. Disease-modifying therapies have limited effectiveness in reducing PRLs or SELs. Choroid plexus (CP) enlargement is associated with structural brain damage and clinical disability and predicts disease evolution. Enlarged perivascular spaces (ePVS) suggest microangiopathic changes rather than direct MS-related inflammation. Glymphatic dysfunction, evaluated using diffusion tensor image analysis along the perivascular space, emerges early in MS and correlates with disability, cognitive impairment, and structural brain damage. Aging and comorbidities exacerbate MS-related damage, complicating diagnosis and treatment. Emerging technologies, such as brain-age paradigms, aim to disentangle aging from MS-specific neurodegeneration. SUMMARY Advances in MRI have highlighted the clinical significance of chronic inflammation and glymphatic dysfunction as early contributors to MS progression as well as the interplay between aging, comorbidities and MS.
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Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience
- Neurology Unit, IRCCS San Raffaele Scientific Institute
- Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience
- Neurology Unit, IRCCS San Raffaele Scientific Institute
- Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience
- Neurology Unit, IRCCS San Raffaele Scientific Institute
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
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Bigaut K, Didierjean J, de Seze J. An update on the evaluation of treatment switching criteria in multiple sclerosis. Expert Rev Neurother 2025:1-18. [PMID: 40357916 DOI: 10.1080/14737175.2025.2506462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2025] [Revised: 04/29/2025] [Accepted: 05/12/2025] [Indexed: 05/15/2025]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a complex disorder driven by both inflammatory and neurodegenerative processes. While disease-modifying therapies (DMTs) have significantly improved prognosis, robust treatment switching criteria remain essential to balance efficacy and safety over the disease course. AREAS COVERED This review examines historical and current criteria for escalating DMTs from moderate- to high-efficacy therapies (HET). The authors summarize emerging clinical, imaging, and biological markers that inform decision-making and explore strategies for de-escalation, including DMT discontinuation and innovative approaches such as exit and bridge therapies. EXPERT OPINION Recent advances in MS management emphasize earlier initiation of HET and more stringent switching criteria. Although innovative monitoring tools - including clinical evaluations, imaging, biological markers, and patient-reported outcomes (PROs) - enhance disease assessment, they require further validation, standardization, and broader accessibility. Similarly, de-escalation criteria need additional research to optimize patient selection.
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Affiliation(s)
- Kevin Bigaut
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Centre d'investigation Clinique, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Judicaelle Didierjean
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Centre d'investigation Clinique, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Jerome de Seze
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Centre d'investigation Clinique, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
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Marrodan M, Yañez P, Calandri IL, Piedrabuena MA, Zárate MA, Ysrraelit MC, Fiol M, Correale J. Impact of oral Cladribine on paramagnetic rim lesions of Multiple Sclerosis patients. Mult Scler Relat Disord 2025; 96:106339. [PMID: 40020453 DOI: 10.1016/j.msard.2025.106339] [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: 12/17/2024] [Revised: 02/06/2025] [Accepted: 02/15/2025] [Indexed: 03/03/2025]
Abstract
BACKGROUND Paramagnetic rim lesions (PRLs), marked by chronic inflammation and iron-loaded microglia, are linked to severe disease progression in multiple sclerosis (MS). The impact of cladribine, an immune reconstitution therapy, on PRLs remains underexplored. OBJECTIVE To evaluate the effect of cladribine tablets on PRLs in relapsing-remitting MS (RRMS) patients and explore the association between PRLs dynamics and brain atrophy. METHODS We conducted a retrospective analysis of 52 RRMS patients treated with cladribine in Buenos Aires between 2018 and 2021. Brain MRIs were analyzed at baseline, 12, and 24 months post-treatment, focusing on PRLs count and brain volume measurements. Statistical analyses included Wilcoxon tests, Poisson mixed models, and linear mixed models. RESULTS The cohort included 52 patients (32 women) with a median age of 36 years (range 21-66 years). PRLs were present in 61.5% of patients at baseline. Cladribine treatment significantly reduced PRLs count (IRR=0.68, 95% CI [0.49, 0.95], p=0.02), independent of prior treatment or disease activity. While no significant relationship was found between PRLs changes and overall brain atrophy, a significant interaction between PRLs dynamics and atrophy in the right thalamus was observed (p<0.05). CONCLUSION Cladribine tablets are associated with a reduction in PRLs in RRMS patients, potentially influencing regional brain atrophy over time.
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Affiliation(s)
| | - Paulina Yañez
- Department of Neuro-Radiology, Fleni. Buenos Aires, Argentina.
| | - Ismael L Calandri
- Department of Cognitive Neurology, Fleni. Buenos Aires, Argentina; Alzheimer center, VU University, Amsterdam, the Netherlands.
| | | | - María A Zárate
- Departament of Neurology, Fleni. Buenos Aires, Argentina.
| | | | - Marcela Fiol
- Departament of Neurology, Fleni. Buenos Aires, Argentina.
| | - Jorge Correale
- Departament of Neurology, Fleni. Buenos Aires, Argentina; Instituto de Química y Fisicoquímica Biológicas (IQUIFIB), CONICET/Universidad de Buenos Aires. Buenos Aires, Argentina.
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Vakrakou AG, Papadopoulos I, Brinia ME, Karathanasis D, Panaretos D, Stathopoulos P, Alexaki A, Pantoleon V, Karavasilis E, Velonakis G, Stefanis L, Evangelopoulos ME, Kilidireas C. Neurodegeneration correlates of iron-related lesions and leptomeningeal inflammation in multiple sclerosis clinical subtypes. Neuroradiology 2025:10.1007/s00234-025-03595-0. [PMID: 40131429 DOI: 10.1007/s00234-025-03595-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Accepted: 03/08/2025] [Indexed: 03/27/2025]
Abstract
PURPOSE The aim of this study was to investigate the significant implications of different types of lesions as assessed by QSM (quantitative-susceptibility-mapping) as well as leptomeningeal contrast-enhancement in a cohort of Relapsing-Remitting (RR) and Primary Progressive (PP) MS patients and to assess their association with clinical disability and MRI-measures of brain structural damage. METHODS Different types of white-matter lesions were identified and quantified using QSM in 24 RRMS and 15 PPMS (11 patients with follow-up MRI). Leptomeningeal contrast-enhancement (LMCE; foci) was assessed on 3D-FLAIR post-gadolinium. RESULTS Both RRMS and PPMS presented PRL (paramagnetic-rim lesions) and LMCE, with PPMS showing a trend towards more LMCE (RRMS 37%, PPMS 53%). In QSM RRMS patients showed more hyperintense white-matter lesions with greater lesion volume. In RRMS PRL correlated with disease duration and lesion burden especially the volume of juxtacortical Flair-hyperintense lesions. Besides, the presence of PRL lesions in PPMS was associated with subcortical atrophy mainly thalamus and pallidum volumetry. In all MS-cohort, patients with more than 3-PRLs exhibited reduced regional cortical thickness in specific temporal areas and post/para central gyrus. Forest-analysis selected age, increased NAWM (normal appearing white-matter) QSM intensity, total lesion volume and the presence of LMCE as informative predictors of cortical thickness. After anti-CD20 treatment, no significant change was observed regarding the number of PRL and LMCE, but the percentage of PRL lesions over the total lesion types and the QSM rim intensity increased. CONCLUSION Our findings suggest that QSM-lesion types and leptomeningeal inflammation capture different aspects of progressive disease biology in both RRMS and PPMS.
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Affiliation(s)
- Aigli G Vakrakou
- Neuroimmunology Unit,1st Department of Neurology, School of Medicine, Aiginition Hospital, National and Kapodistrian University of Athens, NKUA, Athens, Greece.
- Multiple Sclerosis and Demyelinating Diseases Unit, Center of Expertise for Rare Demyelinating and Autoimmune Diseases of CNS, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, NKUA, Aiginition University Hospital, Athens, Greece.
| | - Ioannis Papadopoulos
- Research Unit of Radiology,2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria-Evgenia Brinia
- Neuroimmunology Unit,1st Department of Neurology, School of Medicine, Aiginition Hospital, National and Kapodistrian University of Athens, NKUA, Athens, Greece
| | - Dimitrios Karathanasis
- Multiple Sclerosis and Demyelinating Diseases Unit, Center of Expertise for Rare Demyelinating and Autoimmune Diseases of CNS, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, NKUA, Aiginition University Hospital, Athens, Greece
| | - Dimitrios Panaretos
- Department of Statistics and Insurance Science, School of Economic Sciences, University of Western, Kozani, Macedonia
| | - Panos Stathopoulos
- Neuroimmunology Unit,1st Department of Neurology, School of Medicine, Aiginition Hospital, National and Kapodistrian University of Athens, NKUA, Athens, Greece
- Multiple Sclerosis and Demyelinating Diseases Unit, Center of Expertise for Rare Demyelinating and Autoimmune Diseases of CNS, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, NKUA, Aiginition University Hospital, Athens, Greece
| | - Anastasia Alexaki
- Neuroimmunology Unit,1st Department of Neurology, School of Medicine, Aiginition Hospital, National and Kapodistrian University of Athens, NKUA, Athens, Greece
| | - Varvara Pantoleon
- Research Unit of Radiology,2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Efstratios Karavasilis
- Laboratory of Medical Physics, School of Medicine, Democritus University of Thrace, Alexandroupolis, 68100, Greece
| | - Georgios Velonakis
- Research Unit of Radiology,2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Leonidas Stefanis
- Neuroimmunology Unit,1st Department of Neurology, School of Medicine, Aiginition Hospital, National and Kapodistrian University of Athens, NKUA, Athens, Greece
- Multiple Sclerosis and Demyelinating Diseases Unit, Center of Expertise for Rare Demyelinating and Autoimmune Diseases of CNS, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, NKUA, Aiginition University Hospital, Athens, Greece
| | - Maria-Eleftheria Evangelopoulos
- Multiple Sclerosis and Demyelinating Diseases Unit, Center of Expertise for Rare Demyelinating and Autoimmune Diseases of CNS, First Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, NKUA, Aiginition University Hospital, Athens, Greece
| | - Constantinos Kilidireas
- Neuroimmunology Unit,1st Department of Neurology, School of Medicine, Aiginition Hospital, National and Kapodistrian University of Athens, NKUA, Athens, Greece
- Department of Neurology, Henry Dunant Hospital Center, Athens, Greece
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Pfeffer LK, Fischbach F, Heesen C, Friese MA. Current state and perspectives of CAR T cell therapy in central nervous system diseases. Brain 2025; 148:723-736. [PMID: 39530593 DOI: 10.1093/brain/awae362] [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: 07/19/2024] [Revised: 10/03/2024] [Accepted: 10/20/2024] [Indexed: 11/16/2024] Open
Abstract
B cell-directed CAR T cell therapy has fundamentally changed the treatment of haematological malignancies, and its scope of application is rapidly expanding to include other diseases such as solid tumours or autoimmune disorders. Therapy-refractoriness remains an important challenge in various inflammatory and non-inflammatory disorders of the CNS. The reasons for therapy failure are diverse and include the limited access current therapies have to the CNS, as well as enormous inter- and intra-individual disease heterogeneity. The tissue-penetrating properties of CAR T cells make them a promising option for overcoming this problem and tackling pathologies directly within the CNS. First application of B cell-directed CAR T cells in neuromyelitis optica spectrum disorder and multiple sclerosis patients has recently revealed promising outcomes, expanding the potential of CAR T cell therapy to encompass CNS diseases. Additionally, the optimization of CAR T cells for the therapy of gliomas is a growing field. As a further prospect, preclinical data reveal the potential benefits of CAR T cell therapy in the treatment of primary neurodegenerative diseases such as Alzheimer's disease. Considering the biotechnological optimizations in the field of T cell engineering, such as extension to target different antigens or variation of the modified T cell subtype, new and promising fields of CAR T cell application are rapidly opening up. These innovations offer the potential to address the complex pathophysiological properties of CNS diseases. To use CAR T cell therapy optimally to treat CNS diseases in the future while minimizing therapy risks, further mechanistic research and prospective controlled trials are needed to assess seriously the disease and patient-specific risk-benefit ratio.
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Affiliation(s)
- Lena Kristina Pfeffer
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Felix Fischbach
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Christoph Heesen
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
| | - Manuel A Friese
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
- Department of Neurology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
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Al Gburi M, Mazzola M, Absinta M, Gaitán MI, Reich DS, Dundamadappa SK, Hemond CC. Paramagnetic rim lesion formation is predicted by the initial gadolinium-enhancing lesion diameter. Mult Scler 2025; 31:263-277. [PMID: 39819146 PMCID: PMC11919566 DOI: 10.1177/13524585241310764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2025]
Abstract
BACKGROUND Paramagnetic rim lesions (PRLs) are a magnetic resonance imaging (MRI) marker of compartmentalized intraparenchymal inflammation. OBJECTIVES The primary objective was to investigate clinical, demographic, and MRI factors that may be predictive of the future formation of PRL. METHODS This is a retrospective analysis of longitudinal data. Patients were included if they had ⩾1 gadolinium-enhancing lesion on any historical MRI and follow-up scan(s) ⩾6 months afterward on a standardized 3T MRI using the filtered phase component of a susceptibility-sensitive sequence ("SWAN"). Regression and machine-learning models were used to identify the predictive ability of demographic, clinical, immunological, treatment-related, and MRI predictors of PRL formation. RESULTS A total of 64 patients having 229 contrast-enhancing lesions (CELs) were included. Among all predictors, the diameter of the initial enhancing lesion was the most influential for determining subsequent PRL formation; every millimeter increase in diameter increased the risk of PRL formation by 44%. Other factors did not contribute additional information; the administration of steroids was not associated with any effect. CONCLUSIONS The long-axis diameter of a CEL is the best translational predictor of subsequent PRL formation at follow-up. This measure holds promise as a method to identify patients at high risk of chronic active lesion formation during the acute inflammatory window.
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Affiliation(s)
- Mustafa Al Gburi
- Departments of Neurology, University of Massachusetts Memorial Medical Center and University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Maria Mazzola
- Department of Neurology, Lahey Hospital and Medical Center, Burlington, MA, USA
| | - Martina Absinta
- Translational Neuropathology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - María I. Gaitán
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Daniel S. Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Sathish K. Dundamadappa
- Departments of Radiology, University of Massachusetts Memorial Medical Center and University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Christopher C. Hemond
- Departments of Neurology, University of Massachusetts Memorial Medical Center and University of Massachusetts Chan Medical School, Worcester, MA, USA
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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Su L, Zhang Z, Gao C, Guo A, Zhang M, Shi X, Liu X, Song T, Xu W, Wang H, Kuchling J, Jing J, Tian D, Liu Y, Duan Y, Paul F, Shi F. Brain lesion characteristics in Chinese multiple sclerosis patients: A 7-T MRI cohort study. Ann Clin Transl Neurol 2025; 12:300-310. [PMID: 39575568 PMCID: PMC11822798 DOI: 10.1002/acn3.52256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 10/04/2024] [Accepted: 10/29/2024] [Indexed: 02/14/2025] Open
Abstract
OBJECTIVE Prevalence, susceptibility genes, and clinical and radiological features may differ across different ethnic groups of multiple sclerosis (MS). We aim to characterize brain lesions in Chinese patients with MS by use of 7-T MRI. METHODS MS participants were enrolled from the ongoing China National Registry of Neuro-Inflammatory Diseases (CNRID) cohort. 7-T MRI of the brain was performed. Each lesion was evaluated according to a standardized procedure. Central vein sign (CVS) and paramagnetic rim lesions were identified. The characteristics of lesions at patient-level and at lesion-level from previous 7-T MRI literature were also summarized. RESULTS We included 120 MS patients. Their mean (SD) age was 34.6 (9.4) years. The female-to-male ratio was 1.7:1 and mean disease duration of patients with MS was 5.5 ± 6.1 years. The median EDSS score was 2 (range, 0-8). A total of 8502 lesions were identified with a median lesion count of 45 (IQR, 18-90) (range, 2-370). The median (IQR) percentage for these special locations were as follows: cortical lesions (CLs) 2.7% (0%-5.7%), juxtacortical lesions 16.2% (7.8%-25.7%), periventricular lesions 30.2% (17.2%-38.7%), and infratentorial lesions 5.8% (0.4%-11.9%). CLs occurred in 70 (58%) patients, accounting for only 443 (5%) of the total lesions. Out of the 443 CLs, 309 (69.8%) were leukocortical lesions. CVS appeared in 5392 (63%) lesions from 117 (98%) patients. 1792 (21%) lesions and 104 (87%) patients exhibited a paramagnetic rim. INTERPRETATION Our study elaborated on the lesion features of Chinese patients with MS by use of 7-T MRI. Lesion burden is heavy in Chinese patients with MS. The median lesion count and proportion of PRL are high. The reported heavy lesion burden calls for ramping up regional and global efforts to care for MS patients. The management and research of Chinese population with MS needs to be further strengthened.
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Affiliation(s)
- Lei Su
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Department of NeurologyTianjin Medical University General HospitalTianjinChina
| | - Zhe Zhang
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Chenyang Gao
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Department of NeurologyTianjin Medical University General HospitalTianjinChina
| | - Ai Guo
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Mengting Zhang
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Xiaoyu Shi
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Xinyao Liu
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Tian Song
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Wangshu Xu
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Huabing Wang
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Joseph Kuchling
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité‐Universitätsmedizin BerlinHumboldt Universität zu Berlin, Berlin Institute of HealthBerlinGermany
- Department of NeurologyCharité‐Universitätsmedizin BerlinBerlinGermany
| | - Jing Jing
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - De‐Cai Tian
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Yaou Liu
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Yunyun Duan
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité‐Universitätsmedizin BerlinHumboldt Universität zu Berlin, Berlin Institute of HealthBerlinGermany
- Department of NeurologyCharité‐Universitätsmedizin BerlinBerlinGermany
| | - Fu‐Dong Shi
- Departments of Neurology, Radiology, Tiantan Neuroimaging Center of Excellence, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan HospitalCapital Medical UniversityBeijingChina
- Department of NeurologyTianjin Medical University General HospitalTianjinChina
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Martire MS, Moiola L, Maggi P, Borrelli S, Novati V, Martinelli V, Rocca MA, Vezzulli P, Falini A, Filippi M, Absinta M. Reliability of paramagnetic rim lesion detection at 1.5T MRI in multiple sclerosis patients. Mult Scler 2025:13524585251314358. [PMID: 39891406 DOI: 10.1177/13524585251314358] [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: 02/03/2025]
Abstract
BACKGROUND Paramagnetic rim lesions (PRL) are valuable for diagnosing and prognosing multiple sclerosis (MS) and detectable at 7T and 3T MRI. For translation into clinical practice, it is essential assessing their visibility on 1.5T clinical scanners. OBJECTIVE To evaluate the reliability of detecting PRL using commercially available susceptibility-weighted imaging (SWI) at 1.5 versus 3T MRI. METHODS SWI images were obtained in 20 people with MS at 1.5T and 3T MRI, with an average scan interval of 1.1 years. Only stable, non-enhancing lesions visible on both scans were analyzed. PRL at 3T were identified by two expert raters using NAIMS PRL criteria and used as a reference. Four raters, blinded to 3T results, assessed PRL at 1.5T. Discrepancies were resolved by consensus. RESULTS PRL were identified in 16 of 20 patients. At 3T, 95 PRL were identified by consensus (mean 5 PRL per patient, range 0-30). Blinded to 3T scans, 82% of PRL were visible at 1.5T (78 of 95 PRL). Interrater reliability was "almost perfect" for both 1.5 and 3T scans. Raters accurately classified all patients as having ⩾1PRL or not at 1.5T. CONCLUSION The majority of PRL are detectable at 1.5T without significantly reducing the specificity of PRL identification or increasing the detection of pseudo-PRL. This may facilitate their clinical use in MS diagnosis and prognosis.
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Affiliation(s)
- Maria Sofia Martire
- Neurology Unit, IRCCS San Raffaele Hospital, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
- Translational Neuropathology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Lucia Moiola
- Neurology Unit, IRCCS San Raffaele Hospital, Milan, Italy
| | - Pietro Maggi
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université Catholique de Louvain, Brussels, Belgium
- Department of Neurology, Hôpital Erasme, Hôpital Universitaire de Bruxelles, Université Libre de Brussels, Brussels, Belgium
| | - Serena Borrelli
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université Catholique de Louvain, Brussels, Belgium
- Department of Neurology, Hôpital Erasme, Hôpital Universitaire de Bruxelles, Université Libre de Brussels, Brussels, Belgium
| | | | | | - Maria A Rocca
- Neurology Unit, IRCCS San Raffaele Hospital, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Vezzulli
- Neuroradiology Unit, IRCCS San Raffaele Hospital, Milan, Italy
| | - Andrea Falini
- Vita-Salute San Raffaele University, Milan, Italy
- Neuroradiology Unit, IRCCS San Raffaele Hospital, Milan, Italy
| | - Massimo Filippi
- Neurology Unit, IRCCS San Raffaele Hospital, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Martina Absinta
- Translational Neuropathology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
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10
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Boccia VD, Leveraro E, Cipriano E, Lapucci C, Sirito T, Cellerino M, Rebella G, Nasone L, Boffa G, Inglese M. Cognitive changes in patients with relapse-free MS treated with high efficacy therapies: the predictive value of paramagnetic rim lesions. J Neurol Neurosurg Psychiatry 2025:jnnp-2024-335144. [PMID: 39890460 DOI: 10.1136/jnnp-2024-335144] [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: 10/01/2024] [Accepted: 01/06/2025] [Indexed: 02/03/2025]
Abstract
BACKGROUND High-efficacy disease-modifying therapies (HETs) have substantially improved multiple sclerosis (MS) management, yet ongoing cognitive decline remains a concern. This study aims to assess Symbol Digit Modalities Test (SDMT) changes in patients with stable relapsing-remitting MS (RRMS) treated with HETs and to evaluate the role of baseline MRI biomarkers as predictors of SDMT changes. METHODS Consecutive patients with RRMS treated with HETs underwent clinical, SDMT and MRI assessment at baseline with SDMT and clinical re-evaluation after 24 months. Patients presenting relapses or MRI activity (new T2 and/or gadolinium-enhancing lesions) during follow-up were excluded. Cognitive changes were defined using the 90% CI regression-based reliable change index methodology accounting for sex, age, education and baseline score. Baseline MRI examination included three-dimensional-sagittal Fluid Attenuated Inversion Recovery (FLAIR), T1-Magnetization Prepared - RApid Gradient Echo (T1-MPRAGE) and quantitative susceptibility mapping (QSM) for paramagnetic rim lesions (PRLs) and QSM-isointense lesions (ISO) assessment. Univariate and multivariable regression analyses were performed to predict SDMT changes. RESULTS 90 patients (mean age: 40.3 years, median Expanded Disability Status Scale: 2.0) were included. PRLs were present in 46 (51.1%) patients. After 24 months, 13 (14.4%) patients showed SDMT decline and 8 (8.9%) showed improvement. At multivariable analyses, PRLs were associated with higher risk of SDMT decline (β: 2.70, p: 0.02, OR: 14.82) while higher ISO lesion volumes were weakly associated with SDMT improvement (β: 0.07, p: 0.01, OR: 1.07). CONCLUSIONS SDMT decline and improvement are detectable in patients with RRMS without clinical or MRI activity over 2 years. PRLs seem to predict SDMT decline in MS, underscoring the critical role of compartmentalised chronic inflammation in disease progression.
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Affiliation(s)
- Vincenzo Daniele Boccia
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università degli Studi di Genova Dipartimento di Neuroscienze Riabilitazione Oftalmologia Genetica e Scienze Materno-Infantili, Genova, Liguria, Italy
| | | | - Emilio Cipriano
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università degli Studi di Genova Dipartimento di Neuroscienze Riabilitazione Oftalmologia Genetica e Scienze Materno-Infantili, Genova, Liguria, Italy
| | - Caterina Lapucci
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università degli Studi di Genova Dipartimento di Neuroscienze Riabilitazione Oftalmologia Genetica e Scienze Materno-Infantili, Genova, Liguria, Italy
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Tommaso Sirito
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università degli Studi di Genova Dipartimento di Neuroscienze Riabilitazione Oftalmologia Genetica e Scienze Materno-Infantili, Genova, Liguria, Italy
| | - Maria Cellerino
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università degli Studi di Genova Dipartimento di Neuroscienze Riabilitazione Oftalmologia Genetica e Scienze Materno-Infantili, Genova, Liguria, Italy
| | - Giacomo Rebella
- Neuroradiology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Liguria, Italy
| | | | - Giacomo Boffa
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università degli Studi di Genova Dipartimento di Neuroscienze Riabilitazione Oftalmologia Genetica e Scienze Materno-Infantili, Genova, Liguria, Italy
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Matilde Inglese
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università degli Studi di Genova Dipartimento di Neuroscienze Riabilitazione Oftalmologia Genetica e Scienze Materno-Infantili, Genova, Liguria, Italy
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
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11
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Guerra T, Iaffaldano P. A Window into New Insights on Progression Independent of Relapse Activity in Multiple Sclerosis: Role of Therapies and Current Perspective. Int J Mol Sci 2025; 26:884. [PMID: 39940654 PMCID: PMC11817336 DOI: 10.3390/ijms26030884] [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: 12/19/2024] [Revised: 01/16/2025] [Accepted: 01/20/2025] [Indexed: 02/16/2025] Open
Abstract
In multiple sclerosis (MS), there is significant evidence indicating that both progression independent of relapse activity (PIRA) and relapse-related worsening events contribute to the accumulation of progressive disability from the onset of the disease and throughout its course. Understanding the compartmentalized pathophysiology of MS would enhance comprehension of disease progression mechanisms, overcoming the traditional distinction in phenotypes. Smoldering MS activity is thought to be maintained by a continuous interaction between the parenchymal chronic processes of neuroinflammation and neurodegeneration and the intrathecal compartment. This review provides a comprehensive and up-to-date overview of the neuropathological and immunological evidence related to the mechanisms underlying PIRA phenomena in MS, with a focus on studies investigating the impact of currently available therapies on these complex mechanisms.
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Affiliation(s)
| | - Pietro Iaffaldano
- Department of Translational Biomedicine and Neurosciences (DiBraiN), University of Bari “Aldo Moro”, 70121 Bari, Italy;
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12
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Lorenzut S, Negro ID, Pauletto G, Verriello L, Spadea L, Salati C, Musa M, Gagliano C, Zeppieri M. Exploring the Pathophysiology, Diagnosis, and Treatment Options of Multiple Sclerosis. J Integr Neurosci 2025; 24:25081. [PMID: 39862004 DOI: 10.31083/jin25081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 08/09/2024] [Accepted: 08/27/2024] [Indexed: 01/27/2025] Open
Abstract
The complicated neurological syndrome known as multiple sclerosis (MS) is typified by demyelination, inflammation, and neurodegeneration in the central nervous system (CNS). Managing this crippling illness requires an understanding of the complex interactions between neurophysiological systems, diagnostic techniques, and therapeutic methods. A complex series of processes, including immunological dysregulation, inflammation, and neurodegeneration, are involved in the pathogenesis of MS. Gene predisposition, autoreactive T cells, B cells, and cytokines are essential participants in the development of the disease. Demyelination interferes with the ability of the CNS to transmit signals, which can cause a variety of neurological symptoms, including impaired motor function, sensory deficiencies, and cognitive decline. Developing tailored therapeutics requires understanding the underlying processes guiding the course of the disease. Neuroimaging, laboratory testing, and clinical examination are all necessary for an accurate MS diagnosis. Evoked potentials and cerebrospinal fluid studies assist in verifying the diagnosis, but magnetic resonance imaging (MRI) is essential for identifying distinctive lesions in the CNS. Novel biomarkers have the potential to increase diagnostic precision and forecast prognosis. The goals of MS treatment options are to control symptoms, lower disease activity, and enhance quality of life. To stop relapses and reduce the course of the disease, disease-modifying treatments (DMTs) target several components of the immune response. DMTs that are now on the market include interferons, glatiramer acetate, monoclonal antibodies, and oral immunomodulators; each has a unique mode of action and safety profile. Symptomatic treatments improve patients' general well-being by addressing specific symptoms, including pain, sphincter disorders, fatigue, and spasticity. Novel treatment targets, neuroprotective tactics, and personalized medicine techniques will be the main focus of MS research in the future. Improving long-term outcomes for MS patients and optimizing disease treatment may be possible by utilizing immunology, genetics, and neuroimaging developments. This study concludes by highlighting the complexity of multiple MS, including its changing therapeutic landscape, diagnostic problems, and neurophysiological foundations. A thorough grasp of these elements is essential to improving our capacity to identify, manage, and eventually overcome this intricate neurological condition.
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Affiliation(s)
- Simone Lorenzut
- Neurology Unit, "Head, Neck and Neurosciences" Department, University Hospital of Udine, 33100 Udine, Italy
| | - Ilaria Del Negro
- Neurology Unit, S. Tommaso dei Battuti Hospital, 30026 Portrogruaro (Venice), Italy
| | - Giada Pauletto
- Neurology Unit, "Head, Neck and Neurosciences" Department, University Hospital of Udine, 33100 Udine, Italy
| | - Lorenzo Verriello
- Neurology Unit, "Head, Neck and Neurosciences" Department, University Hospital of Udine, 33100 Udine, Italy
| | - Leopoldo Spadea
- Eye Clinic, Policlinico Umberto I, "Sapienza" University of Rome, 00142 Rome, Italy
| | - Carlo Salati
- Department of Ophthalmology, University Hospital of Udine, 33100 Udine, Italy
| | - Mutali Musa
- Department of Optometry, University of Benin, 300238 Benin, Edo, Nigeria
| | - Caterina Gagliano
- Department of Medicine and Surgery, University of Enna "Kore", 94100 Enna, Italy
- Eye Clinic Catania University San Marco Hospital, 95121 Catania, Italy
| | - Marco Zeppieri
- Department of Ophthalmology, University Hospital of Udine, 33100 Udine, Italy
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13
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Mimori M, Katsumoto A, Okamoto T, Sato W, Lin Y, Yamamura T, Takahashi Y. Ofatumumab for multiple sclerosis with disability accumulation. J Neurol Sci 2025; 468:123356. [PMID: 39708694 DOI: 10.1016/j.jns.2024.123356] [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: 08/23/2024] [Revised: 12/09/2024] [Accepted: 12/10/2024] [Indexed: 12/23/2024]
Abstract
BACKGROUND The ASCLEPIOS/APLIOS/APOLITOS/ALITHIOS trials highlighted the benefits of ofatumumab in reducing relapse rates and disability progression in multiple sclerosis (MS). However, its effects on patients with severe disability status remains uncertain. This study aimed to clarify the outcomes of ofatumumab in MS patients with high Expanded Disability Status Scale (EDSS) scores and prolonged disease durations. METHODS This is a retrospective cohort study of MS patients treated with ofatumumab at an MS center in Japan. At 12 months of treatment, patients with MS starting ofatumumab were classified into the treatment-responsive or treatment-resistant groups based on ofatumumab continuity, incidence of relapses with EDSS worsening, progression independent of relapse activity (PIRA). We used logistic regression analysis to identify factors associated with ofatumumab response. RESULTS Seventy patients were included in the analysis; 39 (56 %) patients were relapsing-remitting (RR), and 31 (44 %) patients were secondary progressive (SP) MS. Mean age at ofatumumab initiation, age at onset, and disease duration were 48.0, 33.9, and 14.1 years, respectively. The median EDSS was 4.5 (3.0-6.5); 38(56 %) patients were classified as resistant. The resistant rates by disease type were 33 % (13/39) and 81 % (26/31) for RR and SP MS, respectively. On multivariate analysis, EDSS and No evidence of disease activity (NEDA) 3 were independent factors for ofatumumab responsiveness (OR, 1.74, 0.04; 95 % CI, 1.17-2.73, 0.00-0.47; p = 0.01, 0.04). CONCLUSION Ofatumumab may yield more favorable effects when initiated in patients with MS with lower EDSS scores.
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Affiliation(s)
- Masahiro Mimori
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan; Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan.
| | - Atsuko Katsumoto
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan; Multiple Sclerosis Center, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
| | - Tomoko Okamoto
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan; Multiple Sclerosis Center, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
| | - Wakiro Sato
- Multiple Sclerosis Center, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan; Department of Immunology, Institute of Neuroscience, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
| | - Youwei Lin
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan; Multiple Sclerosis Center, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan; Department of Immunology, Institute of Neuroscience, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
| | - Takashi Yamamura
- Multiple Sclerosis Center, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan; Department of Immunology, Institute of Neuroscience, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
| | - Yuji Takahashi
- Department of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan; Multiple Sclerosis Center, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
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14
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Tozlu C, Jamison K, Kang Y, Rua SH, Kaunzner UW, Nguyen T, Kuceyeski A, Gauthier SA. TSPO-PET Reveals Higher Inflammation in White Matter Disrupted by Paramagnetic Rim Lesions in Multiple Sclerosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.01.03.627857. [PMID: 39803549 PMCID: PMC11722250 DOI: 10.1101/2025.01.03.627857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/21/2025]
Abstract
Objective To explore whether the inflammatory activity is higher in white matter (WM) tracts disrupted by paramagnetic rim lesions (PRLs) and if inflammation in PRL-disrupted WM tracts is associated with disability in people with multiple sclerosis (MS). Methods Forty-four MS patients and 16 healthy controls were included. 18 kDa-translocator protein positron emission tomography (TSPO-PET) with the 11C-PK11195 radioligand was used to measure the neuroinflammatory activity. The Network Modification Tool was used to identify WM tracts disrupted by PRLs and non-PRLs that were delineated on MRI. The Expanded Disability Status Scale was used to measure disability. Results MS patients had higher inflammatory activity in whole brain WM compared to healthy controls (p=0.001). Compared to patients without PRLs, patients with PRLs exhibited higher levels of inflammatory activity in the WM tracts disrupted by any type of lesions (p=0.02) or PRLs (p=0.004). In patients with at least one PRL, inflammatory activity was higher in WM tracts highly disrupted by PRLs compared to WM tracts highly disrupted by non-PRLs (p=0.009). Elevated inflammatory activity in highly disrupted WM tracts was associated with increased disability in patients with PRL (p=0.03), but not in patients without PRL (p=0.2). Interpretation This study suggests that patients with PRLs may exhibit more diffuse WM inflammation in addition to higher inflammation along WM tracts disrupted by PRLs compared to non-PRLs, which could contribute to larger lesion volumes and faster disability progression. Imaging PRLs may serve to identify patients with both focal and diffuse inflammation, guiding therapeutic interventions aimed at reducing inflammation and preventing progressive disability in MS.
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Affiliation(s)
- Ceren Tozlu
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Keith Jamison
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Yeona Kang
- Department of Mathematics, Howard University, Washington DC, USA
| | - Sandra Hurtado Rua
- Department of Mathematics and Statistics, Cleveland State University, Cleveland, Ohio, USA
| | - Ulrike W. Kaunzner
- Department of Neurology, Weill Cornell Medical College, New York, New York, USA
| | - Thanh Nguyen
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Amy Kuceyeski
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Susan A. Gauthier
- Department of Radiology, Weill Cornell Medicine, New York, NY, USA
- Department of Neurology, Weill Cornell Medical College, New York, New York, USA
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15
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Burt RK, Alexander T. Hematopoietic stem cell transplantation for multiple sclerosis: no inflammation, no response. Eur J Neurol 2025; 32:e16565. [PMID: 39691039 DOI: 10.1111/ene.16565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Revised: 11/11/2024] [Accepted: 11/13/2024] [Indexed: 12/19/2024]
Affiliation(s)
- Richard K Burt
- Northwestern University, Chicago, Illinois, USA
- Scripps hematology, La Jolla, California, USA
- Genani Corporation, Chicago, Illinois, USA
| | - Tobias Alexander
- Department of Rheumatology and Clinical Immunology, Charité-Universitätsmedizin Berlin, Berlin, Germany
- EBMT Autoimmune Disease Working Party (EBMT), Berlin, Germany
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16
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Dal-Bianco A, Oh J, Sati P, Absinta M. Chronic active lesions in multiple sclerosis: classification, terminology, and clinical significance. Ther Adv Neurol Disord 2024; 17:17562864241306684. [PMID: 39711984 PMCID: PMC11660293 DOI: 10.1177/17562864241306684] [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: 08/18/2024] [Accepted: 11/18/2024] [Indexed: 12/24/2024] Open
Abstract
In multiple sclerosis (MS), increasing disability is considered to occur due to persistent, chronic inflammation trapped within the central nervous system (CNS). This condition, known as smoldering neuroinflammation, is present across the clinical spectrum of MS and is currently understood to be relatively resistant to treatment with existing disease-modifying therapies. Chronic active white matter lesions represent a key component of smoldering neuroinflammation. Initially characterized in autopsy specimens, multiple approaches to visualize chronic active lesions (CALs) in vivo using advanced neuroimaging techniques and postprocessing methods are rapidly emerging. Among these in vivo imaging correlates of CALs, paramagnetic rim lesions (PRLs) are defined by the presence of a perilesional rim formed by iron-laden microglia and macrophages, whereas slowly expanding lesions are identified based on linear, concentric lesion expansion over time. In recent years, several longitudinal studies have linked the occurrence of in vivo detected CALs to a more aggressive disease course. PRLs are highly specific to MS and therefore have recently been incorporated into the MS diagnostic criteria. They also have prognostic potential as biomarkers to identify patients at risk of early and severe disease progression. These developments could significantly affect MS care and the evaluation of new treatments. This review describes the latest knowledge on CAL biology and imaging and the relevance of CALs to the natural history of MS. In addition, we outline considerations for current and future in vivo biomarkers of CALs, emphasizing the need for validation, standardization, and automation in their assessment.
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Affiliation(s)
- Assunta Dal-Bianco
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18–20, Vienna 1090, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, St. Michael’s Hospital, University of Toronto, Toronto, ON, Canada
| | - Pascal Sati
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Martina Absinta
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Experimental Neuropathology Lab, Neuro Center, IRCCS Humanitas Research Hospital, Milan, Italy
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17
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Simic MS, Watchmaker PB, Gupta S, Wang Y, Sagan SA, Duecker J, Shepherd C, Diebold D, Pineo-Cavanaugh P, Haegelin J, Zhu R, Ng B, Yu W, Tonai Y, Cardarelli L, Reddy NR, Sidhu SS, Troyanskaya O, Hauser SL, Wilson MR, Zamvil SS, Okada H, Lim WA. Programming tissue-sensing T cells that deliver therapies to the brain. Science 2024; 386:eadl4237. [PMID: 39636984 PMCID: PMC11900893 DOI: 10.1126/science.adl4237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 09/23/2024] [Indexed: 12/07/2024]
Abstract
To engineer cells that can specifically target the central nervous system (CNS), we identified extracellular CNS-specific antigens, including components of the CNS extracellular matrix and surface molecules expressed on neurons or glial cells. Synthetic Notch receptors engineered to detect these antigens were used to program T cells to induce the expression of diverse payloads only in the brain. CNS-targeted T cells that induced chimeric antigen receptor expression efficiently cleared primary and secondary brain tumors without harming cross-reactive cells outside of the brain. Conversely, CNS-targeted cells that locally delivered the immunosuppressive cytokine interleukin-10 ameliorated symptoms in a mouse model of neuroinflammation. Tissue-sensing cells represent a strategy for addressing diverse disorders in an anatomically targeted manner.
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Affiliation(s)
- Milos S. Simic
- UCSF Cell Design Institute and Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Payal B. Watchmaker
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Sasha Gupta
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Yuan Wang
- Department of Computer Science, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Sharon A. Sagan
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Jason Duecker
- UCSF Cell Design Institute and Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Chanelle Shepherd
- UCSF Cell Design Institute and Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - David Diebold
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Psalm Pineo-Cavanaugh
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey Haegelin
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Robert Zhu
- UCSF Cell Design Institute and Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Ben Ng
- UCSF Cell Design Institute and Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Wei Yu
- UCSF Cell Design Institute and Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Yurie Tonai
- UCSF Cell Design Institute and Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Lia Cardarelli
- School of Pharmacy, University of Waterloo, Waterloo, Ontario, Canada
| | - Nishith R. Reddy
- UCSF Cell Design Institute and Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Sachdev S. Sidhu
- School of Pharmacy, University of Waterloo, Waterloo, Ontario, Canada
| | - Olga Troyanskaya
- Department of Computer Science, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ, USA
- Center for Computational Biology, Flatiron Institute, New York, NY, USA
| | - Stephen L. Hauser
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Michael R. Wilson
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Scott S. Zamvil
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA
- Program in Immunology, University of California San Francisco, San Francisco, CA, USA
| | - Hideho Okada
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Helen Diller Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Wendell A. Lim
- UCSF Cell Design Institute and Department of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
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18
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Maggi P, Absinta M. Emerging MRI biomarkers for the diagnosis of multiple sclerosis. Mult Scler 2024; 30:1704-1713. [PMID: 39511991 DOI: 10.1177/13524585241293579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2024]
Abstract
The need to improve diagnostic precision in multiple sclerosis (MS) is widely recognized. In recent years, several novel magnetic resonance imaging (MRI) biomarkers have been proposed to enhance diagnostic specificity and reduce misdiagnosis. Some of these imaging biomarkers are deemed highly specific for MS and are likely ready to enter the MS diagnostic work-up, while others are still in their exploratory phase. In addition, new synthetic MRI contrasts and artificial intelligence-based diagnostic algorithms are being tested to reduce the time burden related to imaging data acquisition and analysis. In this review, we summarize the most recent advancement in the field, focusing on the adoption of these novel MRI biomarkers-whether used alone or in combination-for the differential diagnosis of MS.
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Affiliation(s)
- Pietro Maggi
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium
| | - Martina Absinta
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
- Experimental Neuropathology Lab, Neuro Center, IRCCS Humanitas Research Hospital, Milan, Italy
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19
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Stölting A, Vanden Bulcke C, Borrelli S, Bugli C, Du Pasquier R, van Pesch V, Maggi P. Clinical relevance of paramagnetic rim lesion heterogeneity in multiple sclerosis. Ann Clin Transl Neurol 2024; 11:3137-3151. [PMID: 39382072 DOI: 10.1002/acn3.52220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Revised: 09/24/2024] [Accepted: 09/14/2024] [Indexed: 10/10/2024] Open
Abstract
OBJECTIVE Previous studies reveal heterogeneity in terms of paramagnetic rim lesions (PRL) associated tissue damage. We investigated the physiopathology and clinical implications of this heterogeneity. METHODS In 103 MS patients (72 relapsing and 31 progressive), brain lesions were manually segmented on 3T 3D-FLAIR and rim visibility was assessed with a visual confidence level score (VCLS) on 3D-EPI phase. Using T1 relaxation time maps, lesions were categorized in long-T1 and short-T1. Lesion age was calculated from time of first gadolinium enhancement (N = 84 lesions). Results on clinical scores were validated in an extended cohort of 167 patients using normalized T1w-MPRAGE lesion values. RESULTS Rim visibility (VCLS analysis) was associated with increasing lesional T1 (P/PFDR < 0.001). Of 1680 analyzed lesions, 427 were categorized as PRL. Long-T1 PRL were older than short-T1 PRL (average 0.8 vs. 2.0 years, P/PFDR = 0.005/0.008), and featured larger lesional volume (P/PFDR < 0.0001) and multi-shell diffusion-measured axonal damage (P/PFDR < 0.0001). The total volume of long-T1-PRL versus PRL showed 2× predictive power for both higher MS disability (EDSS; P/PFDR = 0.003/0.005 vs. P/PFDR = 0.042/0.057) and severity (MSSS; P/PFDR = 0.0006/0.001 vs. P/PFDR = 0.004/0.007). In random forest, having ≥1 long-T1-PRL versus ≥4 PRL showed 2-4× higher performance to predict a higher EDSS and MSSS. In the validation cohort, long-T1 PRL outperformed (~2×) PRL in predicting both EDSS and MSSS. INTERPRETATION PRL show substantial heterogeneity in terms of intralesional tissue damage. More destructive, likely older, long-T1 PRL improve the association with MS clinical scales. This PRL heterogeneity characterization was replicated using standard T1w MRI, highlighting its potential for clinical translation.
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Affiliation(s)
- Anna Stölting
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium
| | - Colin Vanden Bulcke
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium
- ICTEAM Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Serena Borrelli
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium
- Department of Neurology, Hôpital Erasme, Hôpital Universitaire de Bruxelles, Université Libre de Brussels, Brussels, Belgium
| | - Céline Bugli
- Plateforme technologique de Support en Méthodologie et Calcul Statistique, Université catholique de Louvain, Brussels, Belgium
| | - Renaud Du Pasquier
- Neurology Service, Department of Clinical Neurosciences, University Hospital of Lausanne and University of Lausanne, Lausanne, Switzerland
| | - Vincent van Pesch
- Department of Neurology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
| | - Pietro Maggi
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium
- Department of Neurology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
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20
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Gaitán MI, Marquez RV, Ayerbe J, Reich DS. Imaging Outcomes for Phase 2 Trials Targeting Compartmentalized Inflammation. Mult Scler 2024; 30:48-60. [PMID: 39658905 PMCID: PMC11637223 DOI: 10.1177/13524585241301303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2024]
Abstract
This comprehensive review aims to explore imaging outcome measures targeting compartmentalized inflammation in Phase 2 clinical trials for multiple sclerosis (MS). The traditional primary imaging outcomes used in Phase 2 MS trials, new or enhancing white matter lesions on MRI, target the effects of peripheral inflammation, but the widespread inflammation behind a mostly closed blood-brain barrier is not captured. This review discusses several emerging imaging technologies that could be used as surrogate markers of compartmentalized inflammation, targeting chronic active lesions, meningeal inflammation, and innate immune activation within the normal-appearing white matter and gray matter. The integration of specific imaging outcomes into Phase 2 trials can provide a more accurate assessment of treatment efficacy, ultimately contributing to the development of more effective therapies for MS.
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Affiliation(s)
- María I Gaitán
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Rocio V Marquez
- Department of Neurology, Italian Hospital of Buenos Aires, Argentina
| | - Jeremias Ayerbe
- Department of Neurology, Italian Hospital of Buenos Aires, Argentina
| | - Daniel S Reich
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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21
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Becher B, Derfuss T, Liblau R. Targeting cytokine networks in neuroinflammatory diseases. Nat Rev Drug Discov 2024; 23:862-879. [PMID: 39261632 DOI: 10.1038/s41573-024-01026-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/02/2024] [Indexed: 09/13/2024]
Abstract
In neuroinflammatory diseases, systemic (blood-borne) leukocytes invade the central nervous system (CNS) and lead to tissue damage. A causal relationship between neuroinflammatory diseases and dysregulated cytokine networks is well established across several preclinical models. Cytokine dysregulation is also observed as an inadvertent effect of cancer immunotherapy, where it often leads to neuroinflammation. Neuroinflammatory diseases can be separated into those in which a pathogen is at the centre of the immune response and those of largely unknown aetiology. Here, we discuss the pathophysiology, cytokine networks and therapeutic landscape of 'sterile' neuroinflammatory diseases such as multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), neurosarcoidosis and immune effector cell-associated neurotoxicity syndrome (ICANS) triggered by cancer immunotherapy. Despite successes in targeting cytokine networks in preclinical models of neuroinflammation, the clinical translation of targeting cytokines and their receptors has shown mixed and often paradoxical responses.
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Affiliation(s)
- Burkhard Becher
- Institute of experimental Immunology, University of Zurich, Zurich, Switzerland.
| | - Tobias Derfuss
- Department of Neurology and Biomedicine, Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, Basel, Switzerland.
| | - Roland Liblau
- Institute for inflammatory and infectious diseases, INSERM UMR1291 - CNRS UMR505, Toulouse, France.
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22
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Harrison DM, Sati P, Klawiter EC, Narayanan S, Bagnato F, Beck ES, Barker P, Calvi A, Cagol A, Donadieu M, Duyn J, Granziera C, Henry RG, Huang SY, Hoff MN, Mainero C, Ontaneda D, Reich DS, Rudko DA, Smith SA, Trattnig S, Zurawski J, Bakshi R, Gauthier S, Laule C. The use of 7T MRI in multiple sclerosis: review and consensus statement from the North American Imaging in Multiple Sclerosis Cooperative. Brain Commun 2024; 6:fcae359. [PMID: 39445084 PMCID: PMC11497623 DOI: 10.1093/braincomms/fcae359] [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: 04/04/2024] [Revised: 08/28/2024] [Accepted: 10/07/2024] [Indexed: 10/25/2024] Open
Abstract
The use of ultra-high-field 7-Tesla (7T) MRI in multiple sclerosis (MS) research has grown significantly over the past two decades. With recent regulatory approvals of 7T scanners for clinical use in 2017 and 2020, the use of this technology for routine care is poised to continue to increase in the coming years. In this context, the North American Imaging in MS Cooperative (NAIMS) convened a workshop in February 2023 to review the previous and current use of 7T technology for MS research and potential future research and clinical applications. In this workshop, experts were tasked with reviewing the current literature and proposing a series of consensus statements, which were reviewed and approved by the NAIMS. In this review and consensus paper, we provide background on the use of 7T MRI in MS research, highlighting this technology's promise for identification and quantification of aspects of MS pathology that are more difficult to visualize with lower-field MRI, such as grey matter lesions, paramagnetic rim lesions, leptomeningeal enhancement and the central vein sign. We also review the promise of 7T MRI to study metabolic and functional changes to the brain in MS. The NAIMS provides a series of consensus statements regarding what is currently known about the use of 7T MRI in MS, and additional statements intended to provide guidance as to what work is necessary going forward to accelerate 7T MRI research in MS and translate this technology for use in clinical practice and clinical trials. This includes guidance on technical development, proposals for a universal acquisition protocol and suggestions for research geared towards assessing the utility of 7T MRI to improve MS diagnostics, prognostics and therapeutic efficacy monitoring. The NAIMS expects that this article will provide a roadmap for future use of 7T MRI in MS.
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Affiliation(s)
- Daniel M Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Department of Neurology, Baltimore VA Medical Center, Baltimore, MD 21201, USA
| | - Pascal Sati
- Neuroimaging Program, Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Eric C Klawiter
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital, Montreal, QC, Canada, H3A 2B4
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, H3A 2B4
| | - Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
- Department of Neurology, Nashville VA Medical Center, TN Valley Healthcare System, Nashville, TN 37212, USA
| | - Erin S Beck
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Peter Barker
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Alberto Calvi
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Fundació de Recerca Clínic Barcelona-Institut d’Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), Hospital Clinic Barcelona, 08036 Barcelona, Spain
| | - Alessandro Cagol
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4001 Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, 4001 Basel, Switzerland
- Department of Health Sciences, University of Genova, 16132 Genova, Italy
| | - Maxime Donadieu
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jeff Duyn
- Advanced MRI Section, National Institutes of Health, Bethesda, MD 20892, USA
| | - Cristina Granziera
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel, University of Basel, 4001 Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel, 4001 Basel, Switzerland
- Department of Neurology, University Hospital Basel, 4001 Basel, Switzerland
| | - Roland G Henry
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, San Francisco, CA 94158, USA
| | - Susie Y Huang
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02114, USA
| | - Michael N Hoff
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94158, USA
| | - Caterina Mainero
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02114, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - David A Rudko
- McConnell Brain Imaging Centre, Montreal Neurological Institute-Hospital, Montreal, QC, Canada, H3A 2B4
- Department of Biomedical Engineering, McGill University, Montreal, Quebec, Canada, H3A 2B4
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Sciences, Vanderbilt University, Nashville, TN 37212, USA
- Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN 37212, USA
| | - Siegfried Trattnig
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Jonathan Zurawski
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Rohit Bakshi
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Susan Gauthier
- Department of Neurology, Weill Cornell Medicine, New York, NY 10065, USA
| | - Cornelia Laule
- Radiology, Pathology and Laboratory Medicine, Physics and Astronomy, International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada, BC V6T 1Z4
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23
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Bagnato F, Sati P, Hemond CC, Elliott C, Gauthier SA, Harrison DM, Mainero C, Oh J, Pitt D, Shinohara RT, Smith SA, Trapp B, Azevedo CJ, Calabresi PA, Henry RG, Laule C, Ontaneda D, Rooney WD, Sicotte NL, Reich DS, Absinta M. Imaging chronic active lesions in multiple sclerosis: a consensus statement. Brain 2024; 147:2913-2933. [PMID: 38226694 PMCID: PMC11370808 DOI: 10.1093/brain/awae013] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 11/21/2023] [Accepted: 12/08/2023] [Indexed: 01/17/2024] Open
Abstract
Chronic active lesions (CAL) are an important manifestation of chronic inflammation in multiple sclerosis and have implications for non-relapsing biological progression. In recent years, the discovery of innovative MRI and PET-derived biomarkers has made it possible to detect CAL, and to some extent quantify them, in the brain of persons with multiple sclerosis, in vivo. Paramagnetic rim lesions on susceptibility-sensitive MRI sequences, MRI-defined slowly expanding lesions on T1-weighted and T2-weighted scans, and 18-kDa translocator protein-positive lesions on PET are promising candidate biomarkers of CAL. While partially overlapping, these biomarkers do not have equivalent sensitivity and specificity to histopathological CAL. Standardization in the use of available imaging measures for CAL identification, quantification and monitoring is lacking. To fast-forward clinical translation of CAL, the North American Imaging in Multiple Sclerosis Cooperative developed a consensus statement, which provides guidance for the radiological definition and measurement of CAL. The proposed manuscript presents this consensus statement, summarizes the multistep process leading to it, and identifies the remaining major gaps in knowledge.
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Affiliation(s)
- Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
- Department of Neurology, Nashville VA Medical Center, Tennessee Valley Healthcare System, Nashville, TN 37212, USA
| | - Pascal Sati
- Neuroimaging Program, Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Christopher C Hemond
- Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | | | - Susan A Gauthier
- Department of Neurology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Daniel M Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
- Department of Neurology, Baltimore VA Medical Center, VA Maryland Healthcare System, Baltimore, MD 21201, USA
| | - Caterina Mainero
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Jiwon Oh
- Division of Neurology, St. Michael’s Hospital, University of Toronto, Toronto, ON M5S, Canada
| | - David Pitt
- Department of Neurology, Yale School of Medicine, New Haven, CT 06510, USA
| | - Russell T Shinohara
- Penn Statistics in Imaging and Visualization Endeavor, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Seth A Smith
- Department of Radiology and Radiological Sciences, Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37235, USA
| | - Bruce Trapp
- Department on Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Christina J Azevedo
- Department of Neurology, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90007, USA
| | - Peter A Calabresi
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Roland G Henry
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA 94158, USA
| | - Cornelia Laule
- Department of Radiology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH 44195, USA
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health and Science University, Portland, OR 97239, USA
| | - Nancy L Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA
| | - Martina Absinta
- Departments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Translational Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology, Vita-Salute San Raffaele University and IRCCS San Raffaele Scientific Institute, Milan, 20132, Italy
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24
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Boccia VD, Boffa G, Lapucci C, Costagli M, Bosisio L, Mancardi MM, Inglese M, Cellerino M. Lesion phenotyping based on magnetic susceptibility in pediatric multiple sclerosis. J Neuroimaging 2024; 34:567-571. [PMID: 39004778 DOI: 10.1111/jon.13221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/27/2024] [Accepted: 06/27/2024] [Indexed: 07/16/2024] Open
Abstract
BACKGROUND AND PURPOSE Pediatric multiple sclerosis (MS) displays different pathological features compared to adult MS, which can be studied in vivo by assessing tissue magnetic susceptibility with 3T-MRI. We aimed to assess different white matter lesions (WMLs) phenotypes in pediatric MS patients using quantitative susceptibility mapping (QSM) and susceptibility mapping weighted imaging (SMWI) over 12 months. METHODS Eleven pediatric MS patients [female: 63.6%; mean ± standard deviation (SD) age and disease duration: 16.3 ± 2.2 and 2.4 ± 1.5; median (range) Expanded Disability Status Scale (EDSS) 1 (0-2)] underwent 3 Tesla-MRI exams and EDSS assessments at baseline and after 1 year. QSM and SMWI were obtained using 3-dimensional (3D)-segmented echo-planar-imaging with submillimetric spatial resolution. WMLs were classified according to their QSM appearance and SMWI was used to identify QSM hyperintensities ascribable to veins. Total brain volumes at baseline and follow-up were computed using high-resolution 3D T1-weighted images. RESULTS Mean ± SD paramagnetic rim lesions (PRLs) prevalence was 7.0% ± 9.0. Fifty-four percent (6/11) of patients exhibited at least one PRL, with one patient exhibiting ≥ 4 PRLs. All patients showed QSM-iso-/hypo-intense lesions, which represented a mean ± SD of 65.8% ± 22.7 of total WMLs. QSM-hyperintense WMLs showed a positive correlation with total brain volume reduction at follow-up (r = 0.705; p = .02). No lesion was classified as different between baseline and follow-up. CONCLUSION Chronic compartmentalized inflammation seems to occur early in pediatric MS patients with short disease duration. A high prevalence of iso-/hypo-intense lesions was found, which could account for the higher remyelination potential in pediatric MS.
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Affiliation(s)
- Vincenzo Daniele Boccia
- Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Giacomo Boffa
- Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Caterina Lapucci
- Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Mauro Costagli
- Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Luca Bosisio
- Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | | | - Matilde Inglese
- Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Maria Cellerino
- Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
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25
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Iaffaldano P, Lucisano G, Guerra T, Paolicelli D, Portaccio E, Inglese M, Foschi M, Patti F, Granella F, Romano S, Cavalla P, De Luca G, Gallo P, Bellantonio P, Gallo A, Montepietra S, Di Sapio A, Vianello M, Quatrale R, Spitaleri D, Clerici R, Torri Clerici V, Cocco E, Brescia Morra V, Marfia GA, Boccia VD, Filippi M, Amato MP, Trojano M, the Italian MS Register. A comparison of natalizumab and ocrelizumab on disease progression in multiple sclerosis. Ann Clin Transl Neurol 2024; 11:2008-2015. [PMID: 38970214 PMCID: PMC11330227 DOI: 10.1002/acn3.52118] [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: 03/15/2024] [Revised: 05/17/2024] [Accepted: 05/23/2024] [Indexed: 07/08/2024] Open
Abstract
OBJECTIVE No direct comparisons of the effect of natalizumab and ocrelizumab on progression independent of relapse activity (PIRA) and relapse-associated worsening (RAW) events are currently available. We aimed to compare the risk of achieving first 6 months confirmed PIRA and RAW events and irreversible Expanded Disability Status Scale (EDSS) 4.0 and 6.0 in a cohort of naïve patients treated with natalizumab or ocrelizumab from the Italian Multiple Sclerosis Register. METHODS Patients with a first visit within 1 year from onset, treated with natalizumab or ocrelizumab, and ≥3 visits were extracted. Pairwise propensity score-matched analyses were performed. Risk of reaching the first PIRA, RAW, and EDSS 4.0 and 6.0 events were estimated using multivariable Cox proportional hazards models. Kaplan-Meier curves were used to show cumulative probabilities of reaching outcomes. RESULTS In total, 770 subjects were included (natalizumab = 568; ocrelizumab = 212) and the propensity score-matching retrieved 195 pairs. No RAW events were found in natalizumab group and only 1 was reported in ocrelizumab group. A first PIRA event was reached by 23 natalizumab and 25 ocrelizumab exposed patients; 7 natalizumab- and 10 ocrelizumab-treated patients obtained an irreversible EDSS 4.0, while 13 natalizumab- and 15 ocrelizumab-treated patients reached an irreversible EDSS 6.0. No differences between the two groups were found in the risk (HR, 95%CI) of reaching a first PIRA (1.04, 0.59-1.84; p = 0.88) event, an irreversible EDSS 4.0 (1.23, 0.57-2.66; p = 0.60) and 6.0 (0.93, 0.32-2.68; p = 0.89). INTERPRETATION Both medications strongly suppress RAW events and, in the short term, the risk of achieving PIRA events, EDSS 4.0 and 6.0 milestones is not significantly different.
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Affiliation(s)
- Pietro Iaffaldano
- Department of Translational Biomedicines and NeurosciencesUniversity of Bari Aldo MoroBariItaly
| | - Giuseppe Lucisano
- CORESEARCH ‐ Center for Outcomes Research and Clinical EpidemiologyPescaraItaly
| | - Tommaso Guerra
- Department of Translational Biomedicines and NeurosciencesUniversity of Bari Aldo MoroBariItaly
| | - Damiano Paolicelli
- Department of Translational Biomedicines and NeurosciencesUniversity of Bari Aldo MoroBariItaly
| | | | - Matilde Inglese
- Dipartimento Di Neuroscienze, Riabilitazione, Oftalmologia, Genetica E Scienze Materno ‐ Infantili (DINOGMI)Università di GenovaGenoaItaly
- IRCCS Ospedale Policlinico San MartinoGenoaItaly
| | - Matteo Foschi
- Department of Neuroscience, Multiple Sclerosis Center‐Neurology UnitS. Maria delle Croci Hospital of Ravenna, AUSL RomagnaRavenna48121Italy
| | - Francesco Patti
- Dipartimento di Scienze Mediche e Chirurgiche e Tecnologie Avanzate, GF Ingrassia, Sez. Neuroscienze, Centro Sclerosi MultiplaUniversità di CataniaCataniaItaly
| | - Franco Granella
- Unit of Neurosciences, Department of Medicine and SurgeryUniversity of ParmaParmaItaly
| | - Silvia Romano
- Department of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS)Sapienza University of RomeRomeItaly
| | - Paola Cavalla
- Multiple Sclerosis Center and 1 Neurology Unit, Department of Neurosciences and Mental HealthAOU Città della Salute e della Scienza di Torino via Cherasco 15Torino10126Italy
| | - Giovanna De Luca
- Centro Sclerosi MultiplaClinica Neurologica, Policlinico SS. AnnunziataChietiItaly
| | - Paolo Gallo
- Department of Neurosciences, Multiple Sclerosis Centre‐Veneto Region (CeSMuV)University Hospital of PaduaPaduaItaly
| | - Paolo Bellantonio
- Unit of Neurology and NeurorehabilitationIRCCS NeuromedPozzilliItaly
| | - Antonio Gallo
- Department of Advanced Medical and Surgical SciencesUniversity of Campania “Luigi Vanvitelli”NaplesItaly
| | - Sara Montepietra
- Neurology Unit, Neuromotor and Rehabilitation DepartmentAUSL‐IRCCS of Reggio EmiliaReggio EmiliaItaly
| | - Alessia Di Sapio
- Regional Referral MS Center, Neurological UnitUniv. Hospital San LuigiOrbassanoItaly
| | | | - Rocco Quatrale
- Ambulatorio Sclerosi Multipla ‐ Divisione di NeurologiaOspedale dell'AngeloMestreItaly
| | | | - Raffaella Clerici
- Centro ad Alta Specializzazione per la diagnosi e la cura della sclerosi multiplaOspedale Generale di zona ValduceComoItaly
| | | | - Eleonora Cocco
- Department of Medical Science and Public Health, Centro Sclerosi MultiplaUniversity of CagliariCagliariItaly
| | - Vincenzo Brescia Morra
- Department of Neuroscience (NSRO)Multiple Sclerosis Clinical Care and Research Center, Federico II UniversityNaplesItaly
| | | | - Vincenzo Daniele Boccia
- Dipartimento Di Neuroscienze, Riabilitazione, Oftalmologia, Genetica E Scienze Materno ‐ Infantili (DINOGMI)Università di GenovaGenoaItaly
| | - Massimo Filippi
- Neurology Unit and MS CenterIRCCS San Raffaele Scientific InstituteMilanItaly
| | | | - Maria Trojano
- Department of Translational Biomedicines and NeurosciencesUniversity of Bari Aldo MoroBariItaly
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Hemond CC, Gaitán MI, Absinta M, Reich DS. New Imaging Markers in Multiple Sclerosis and Related Disorders: Smoldering Inflammation and the Central Vein Sign. Neuroimaging Clin N Am 2024; 34:359-373. [PMID: 38942521 PMCID: PMC11213979 DOI: 10.1016/j.nic.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2024]
Abstract
Concepts of multiple sclerosis (MS) biology continue to evolve, with observations such as "progression independent of disease activity" challenging traditional phenotypic categorization. Iron-sensitive, susceptibility-based imaging techniques are emerging as highly translatable MR imaging sequences that allow for visualization of at least 2 clinically useful biomarkers: the central vein sign and the paramagnetic rim lesion (PRL). Both biomarkers demonstrate high specificity in the discrimination of MS from other mimics and can be seen at 1.5 T and 3 T field strengths. Additionally, PRLs represent a subset of chronic active lesions engaged in "smoldering" compartmentalized inflammation behind an intact blood-brain barrier.
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Affiliation(s)
- Christopher C Hemond
- Department of Neurology, University of Massachusetts Memorial Medical Center and University of Massachusetts Chan Medical School, Worcester, MA, USA; National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
| | - María I Gaitán
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Martina Absinta
- Translational Neuropathology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
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27
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Fernández Ó, Montalbán X, Agüera E, Aladro Y, Alonso A, Arroyo R, Brieva L, Calles C, Costa-Frossard L, Eichau S, García-Domínguez JM, Hernández MÁ, Landete L, Llaneza M, Llufriu S, Meca-Lallana JE, Meca-Lallana V, Moral E, Prieto JM, Ramió-Torrentà L, Téllez N, Romero-Pinel L, Vilaseca A, Rodríguez-Antigüedad A. [XVI Post-ECTRIMS Meeting: review of the new developments presented at the 2023 ECTRIMS Congress (I)]. Rev Neurol 2024; 79:21-29. [PMID: 38934946 PMCID: PMC11468034 DOI: 10.33588/rn.7901.2024170] [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: 05/31/2024] [Indexed: 06/28/2024]
Abstract
The XVI Post-ECTRIMS meeting took place in Seville on 20 and 21 October 2023. This meeting was attended by neurologists specialising in multiple sclerosis (MS) from Spain, who shared a summary of the most interesting innovations at the ECTRIMS congress, which had taken place in Milan the previous week. The aim of this article is to summarise new developments related to the pathogenesis, diagnosis and prognosis of MS. The contributions of innate immunity and central nervous system resident cells, including macrophages and microglia in MS pathophysiology and as therapeutic targets were discussed. Compartmentalised intrathecal inflammation was recognised as central to understanding the progression of MS, and the relationship between inflammatory infiltrates and disease progression was highlighted. Perspectives in demyelinating pathologies were reviewed, focusing on neuromyelitis optica and myelin oligodendrocyte glycoprotein antibody-associated disease, highlighting their pathophysiological and diagnostic differences compared to MS. Advances in neuroimaging were also discussed, and especially the analysis of active chronic lesions, such as paramagnetic rim lesions. In the absence of clinical improvements in trials of remyelinating treatments, methodological strategies to optimise the design of future studies were proposed. Breakthroughs in detecting the prodromal phase of MS, the use of biomarkers in body fluids to assess activity, progression and treatment response, and research on progression independent of flares were addressed. The need to define criteria for radiologically isolated syndrome and to clarify the concept was also discussed.
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Affiliation(s)
- Óscar Fernández
- Departamento de Farmacología. Facultad de Medicina. Universidad de MálagaUniversidad de MálagaUniversidad de MálagaMálagaEspaña
- Instituto de Investigación Biomédica de Málaga (IBIMA)Instituto de Investigación Biomédica de Málaga (IBIMA)Instituto de Investigación Biomédica de Málaga (IBIMA)MálagaEspaña
- Hospital Universitario Regional de Málaga-Universidad de Málaga, MálagaHospital Universitario Regional de Málaga-Universidad de MálagaHospital Universitario Regional de Málaga-Universidad de MálagaMálagaEspaña
| | - Xavier Montalbán
- CEMCAT. Hospital Universitari Vall d’Hebron-Universitat Autònoma de BarcelonaUniversitari Vall d’Hebron-Universitat Autònoma de BarcelonaUniversitari Vall d’Hebron-Universitat Autònoma de BarcelonaBarcelonaEspaña
| | - Eduardo Agüera
- Servicio de Neurología. Hospital Reina Sofía. CórdobaHospital Reina SofíaHospital Reina SofíaCórdobaEspaña
| | - Yolanda Aladro
- Servicio de Neurología. Hospital Universitario de Getafe. GetafeHospital Universitario de GetafeHospital Universitario de GetafeGetafeEspaña
| | - Ana Alonso
- Unidad de Esclerosis Múltiple. Servicio de NeurologíaUnidad de Esclerosis MúltipleUnidad de Esclerosis MúltipleMálagaEspaña
| | - Rafael Arroyo
- Servicio de Neurología. Hospital Universitario QuirónsaludHospital Universitario QuirónsaludHospital Universitario QuirónsaludMadridEspaña
| | - Luis Brieva
- Hospital Universitari Arnau de Vilanova-Universitat de Lleida. LleidaHospital Universitari Arnau de Vilanova-Universitat de LleidaHospital Universitari Arnau de Vilanova-Universitat de LleidaLleidaEspaña
| | - Carmen Calles
- Servicio de Neurología. Hospital Universitario Son Espases. Palma de MallorcaHospital Universitario Son EspasesHospital Universitario Son EspasesPalma de MallorcaEspaña
| | - Lucienne Costa-Frossard
- CSUR de Esclerosis Múltiple. Hospital Universitario Ramón y CajalHospital Universitario Ramón y CajalHospital Universitario Ramón y CajalMadridEspaña
| | - Sara Eichau
- Servicio de Neurología. Hospital Universitario Virgen Macarena. SevillaHospital Universitario Virgen MacarenaHospital Universitario Virgen MacarenaSevillaEspaña
| | - José M. García-Domínguez
- Hospital Universitario Gregorio MarañónHospital Universitario Gregorio MarañónHospital Universitario Gregorio MarañónMadridEspaña
| | - Miguel Á. Hernández
- Servicio de Neurología. Hospital Nuestra Señora de Candelaria. Santa Cruz de TenerifeHospital Nuestra Señora de CandelariaHospital Nuestra Señora de CandelariaSanta Cruz de TenerifeEspaña
| | - Lamberto Landete
- Servicio de Neurología. Hospital Universitario Doctor Peset. ValenciaHospital Universitario Doctor PesetHospital Universitario Doctor PesetValenciaEspaña
| | - Miguel Llaneza
- Servicio de Neurología. Hospital Universitario Central de Asturias. OviedoHospital Universitario Central de AsturiasHospital Universitario Central de AsturiasOviedoEspaña
| | - Sara Llufriu
- Unidad de Neuroinmunología y Esclerosis Múltiple. Hospital Clínic de Barcelona e IDIBAPS. BarcelonaHospital Clínic de Barcelona e IDIBAPSHospital Clínic de Barcelona e IDIBAPSBarcelonaEspaña
| | - José E. Meca-Lallana
- Unidad de Neuroinmunología Clínica y CSUR Esclerosis Múltiple. Servicio de Neurología. Hospital Clínico Universitario Virgen de la Arrixaca (IMIB-Arrixaca)Hospital Clínico Universitario Virgen de la Arrixaca (IMIB-Arrixaca)Hospital Clínico Universitario Virgen de la Arrixaca (IMIB-Arrixaca)MurciaEspaña
- Cátedra de Neuroinmunología Clínica y Esclerosis Múltiple. Universidad Católica San Antonio (UCAM). MurciaUniversidad Católica San Antonio (UCAM)Universidad Católica San Antonio (UCAM)MurciaEspaña
| | - Virginia Meca-Lallana
- Servicio de Neurología. Hospital Universitario de La Princesa. MadridHospital Universitario de La PrincesaHospital Universitario de La PrincesaMadridEspaña
| | - Ester Moral
- Servicio de Neurología. Complejo Hospitalario Universitario Moisès Broggi. Sant Joan DespíComplejo Hospitalario Universitario Moisès BroggiComplejo Hospitalario Universitario Moisès BroggiSant Joan DespíEspaña
| | - José M. Prieto
- Servicio de Neurología. Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS). Santiago de CompostelaInstituto de Investigación Sanitaria de Santiago de Compostela (IDIS)Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS)Santiago de CompostelaEspaña
| | - Lluís Ramió-Torrentà
- Unitat de Neuroimmunologia i Esclerosi Múltiple Territorial de Girona (UNIEMTG). Hospital Universitari Dr. Josep TruetaHospital Universitari Dr. Josep TruetaHospital Universitari Dr. Josep TruetaGironaEspaña
- Hospital Santa CaterinaHospital Santa CaterinaHospital Santa CaterinaGironaEspaña
- Grup Neurodegeneració i Neuroinflamació. IDIBGIGrup Neurodegeneració i NeuroinflamacióGrup Neurodegeneració i NeuroinflamacióGironaEspaña
- Departamento de Ciencias Médicas. Universitat de Girona. GironaUniversitat de GironaUniversitat de GironaGironaEspaña
| | - Nieves Téllez
- Hospital Clínico Universitario de Valladolid. ValladolidHospital Clínico Universitario de ValladolidHospital Clínico Universitario de ValladolidValladolidEspaña
| | - Lucía Romero-Pinel
- Hospital Universitari de Bellvitge-IDIBELL. L’Hospitalet de LlobregatHospital Universitari de Bellvitge-IDIBELLHospital Universitari de Bellvitge-IDIBELLBarakaldoEspaña
| | - Andreu Vilaseca
- CEMCAT. Hospital Universitari Vall d’Hebron-Universitat Autònoma de BarcelonaUniversitari Vall d’Hebron-Universitat Autònoma de BarcelonaUniversitari Vall d’Hebron-Universitat Autònoma de BarcelonaBarcelonaEspaña
| | - Alfredo Rodríguez-Antigüedad
- Servicio de Neurología. Hospital Universitario Cruces. Barakaldo, EspañaHospital Universitario CrucesHospital Universitario CrucesBarakaldoEspaña
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28
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Borrelli S, Martire MS, Stölting A, Vanden Bulcke C, Pedrini E, Guisset F, Bugli C, Yildiz H, Pothen L, Elands S, Martinelli V, Smith B, Jacobson S, Du Pasquier RA, Van Pesch V, Filippi M, Reich DS, Absinta M, Maggi P. Central Vein Sign, Cortical Lesions, and Paramagnetic Rim Lesions for the Diagnostic and Prognostic Workup of Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200253. [PMID: 38788180 PMCID: PMC11129678 DOI: 10.1212/nxi.0000000000200253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 03/13/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND AND OBJECTIVES The diagnosis of multiple sclerosis (MS) can be challenging in clinical practice because MS presentation can be atypical and mimicked by other diseases. We evaluated the diagnostic performance, alone or in combination, of the central vein sign (CVS), paramagnetic rim lesion (PRL), and cortical lesion (CL), as well as their association with clinical outcomes. METHODS In this multicenter observational study, we first conducted a cross-sectional analysis of the CVS (proportion of CVS-positive lesions or simplified determination of CVS in 3/6 lesions-Select3*/Select6*), PRL, and CL in MS and non-MS cases on 3T-MRI brain images, including 3D T2-FLAIR, T2*-echo-planar imaging magnitude and phase, double inversion recovery, and magnetization prepared rapid gradient echo image sequences. Then, we longitudinally analyzed the progression independent of relapse and MRI activity (PIRA) in MS cases over the 2 years after study entry. Receiver operating characteristic curves were used to test diagnostic performance and regression models to predict diagnosis and clinical outcomes. RESULTS The presence of ≥41% CVS-positive lesions/≥1 CL/≥1 PRL (optimal cutoffs) had 96%/90%/93% specificity, 97%/84%/60% sensitivity, and 0.99/0.90/0.77 area under the curve (AUC), respectively, to distinguish MS (n = 185) from non-MS (n = 100) cases. The Select3*/Select6* algorithms showed 93%/95% specificity, 97%/89% sensitivity, and 0.95/0.92 AUC. The combination of CVS, CL, and PRL improved the diagnostic performance, especially when Select3*/Select6* were used (93%/94% specificity, 98%/96% sensitivity, 0.99/0.98 AUC; p = 0.002/p < 0.001). In MS cases (n = 185), both CL and PRL were associated with higher MS disability and severity. Longitudinal analysis (n = 61) showed that MS cases with >4 PRL at baseline were more likely to experience PIRA at 2-year follow-up (odds ratio 17.0, 95% confidence interval: 2.1-138.5; p = 0.008), whereas no association was observed between other baseline MRI measures and PIRA, including the number of CL. DISCUSSION The combination of CVS, CL, and PRL can improve MS differential diagnosis. CL and PRL also correlated with clinical measures of poor prognosis, with PRL being a predictor of disability accrual independent of clinical/MRI activity.
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Affiliation(s)
- Serena Borrelli
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Maria Sofia Martire
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Anna Stölting
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Colin Vanden Bulcke
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Edoardo Pedrini
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - François Guisset
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Céline Bugli
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Halil Yildiz
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Lucie Pothen
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Sophie Elands
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Vittorio Martinelli
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Bryan Smith
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Steven Jacobson
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Renaud A Du Pasquier
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Vincent Van Pesch
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Massimo Filippi
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Daniel S Reich
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Martina Absinta
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
| | - Pietro Maggi
- From the Neuroinflammation Imaging Lab (NIL) (S.B., A.S., C.V.B., F.G., P.M.), Institute of NeuroScience, Université catholique de Louvain; Department of Neurology (S.B., S.E.), Hôpital Erasme, Hôpital Universitaire de Bruxelles; Department of Neurology (S.B.), Centre Hospitalier Universitaire Brugmann, Université Libre de Brussels, Belgium; Neurology Unit (M.S.M., V.M., M.F.), IRCCS San Raffaele Hospital, Milan, Italy; ICTEAM Institute (C.V.B.), Université catholique de Louvain, Louvain-la-Neuve, Belgium; Vita-Salute San Raffaele University (E.P., M.F., M.A.); Translational Neuropathology Unit (E.P., M.A.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Plateforme technologique de Support en Méthodologie et Calcul Statistique (C.B.); Department of Internal Medicine and Infectious Diseases (H.Y., L.P.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Section of Infections of the Nervous System (B.S.); Viral Immunology Section (S.J.), National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD; Neurology Service (R.A.D.P., P.M.), Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Switzerland; Department of Neurology (V.V.P., P.M.), Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Neuroimaging Research Unit (M.F.), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Translational Neuroradiology Section (D.S.R.), National Institute of Neurological Disorders and Stroke (NINDS), National In-stitutes of Health (NIH); and Department of Neurology (M.A.), Johns Hopkins University School of Medicine, Baltimore, MD
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Borrelli S, Guisset F, Vanden Bulcke C, Stölting A, Bugli C, Lolli V, Du Pasquier R, van Pesch V, Absinta M, Pasi M, Maggi P. Enlarged perivascular spaces are associated with brain microangiopathy and aging in multiple sclerosis. Mult Scler 2024; 30:983-993. [PMID: 38850029 DOI: 10.1177/13524585241256881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
BACKGROUND Growing evidence links brain-MRI enlarged perivascular spaces (EPVS) and multiple sclerosis (MS), but their role remains unclear. OBJECTIVE This study aimed to investigate the cross-sectional associations of EPVS with several neuroinflammatory and neurodegenerative features in a large multicentric-MS cohort. METHODS In total, 207 patients underwent 3T axial-T2-weighted brain-MRI for EPVS assessment (EPVS dichotomized into high/low according to ⩾ 2/< 2 rating categories). MRI biomarkers included brain-predicted age and brain-predicted age difference (brain-PAD), central vein sign (CVS)-positive lesion percentage (CVS%), paramagnetic rim and cortical lesions, T2-lesion load, and brain volumetry. The variable relative importance for EPVS-category prediction was explored using a classification random forest approach. RESULTS High EPVS patients were older (49 vs 44 years, p = 0.003), had ⩾ 1 vascular risk factors (VRFs; p = 0.005), lower CVS% (67% vs 78%, p < 0.001), reduced brain volumes (whole brain: 0.63 vs 0.73, p = 0.01; gray matter: 0.36 vs 0.40; p = 0.002), and older brain-predicted age (58 vs 50 years, p < 0.001). No differences were found for neuroinflammatory markers. After adjusting for age and VFRs (multivariate analyses), the high EPVS category correlated with lower CVS% (odds ratio (OR) = 0.98, 95% confidence interval (CI) = 0.96-0.99; p = 0.02), lower whole brain (OR = 0.01, 95% CI = 0.0003-0.5; p = 0.02), gray matter (OR = 0.0004, 95% CI = 0.0000004-0.4; p = 0.03) volumes, and higher brain-PAD (OR = 1.05, 95% CI = 1.01-1.09; p = 0.02). Random forest identified brain-PAD as the most important predictor of high EPVS. CONCLUSION EPVS in MS likely reflect microangiopathic disease rather than neuroinflammation, potentially contributing to accelerated neurodegeneration.
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Affiliation(s)
- Serena Borrelli
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium/Department of Neurology, Hôpital Erasme, Hôpital Universitaire de Bruxelles, Université Libre de Brussels, Brussels, Belgium
| | - François Guisset
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium
| | - Colin Vanden Bulcke
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium/ICTEAM Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Anna Stölting
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium
| | - Céline Bugli
- Plateforme technologique de Support en Méthodologie et Calcul Statistique, Université catholique de Louvain, Brussels, Belgium
| | - Valentina Lolli
- Department of Radiology, Hôpital Erasme, Hôpital Universitaire de Bruxelles, Université Libre de Brussels, Brussels, Belgium
| | - Renaud Du Pasquier
- Neurology Service, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland
| | - Vincent van Pesch
- Department of Neurology, Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
| | - Martina Absinta
- Vita-Salute San Raffaele University, Milan, Italy/Translational Neuropathology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marco Pasi
- Stroke Unit, Department of Neurology, CIC-IT 1415, CHRU de Tours, INSERM 1253 iBrain, Tours, France
| | - Pietro Maggi
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium/Neurology Service, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland/Department of Neurology, Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
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Calabrese M, Preziosa P, Scalfari A, Colato E, Marastoni D, Absinta M, Battaglini M, De Stefano N, Di Filippo M, Hametner S, Howell OW, Inglese M, Lassmann H, Martin R, Nicholas R, Reynolds R, Rocca MA, Tamanti A, Vercellino M, Villar LM, Filippi M, Magliozzi R. Determinants and Biomarkers of Progression Independent of Relapses in Multiple Sclerosis. Ann Neurol 2024; 96:1-20. [PMID: 38568026 DOI: 10.1002/ana.26913] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/04/2024] [Accepted: 02/15/2024] [Indexed: 06/20/2024]
Abstract
Clinical, pathological, and imaging evidence in multiple sclerosis (MS) suggests that a smoldering inflammatory activity is present from the earliest stages of the disease and underlies the progression of disability, which proceeds relentlessly and independently of clinical and radiological relapses (PIRA). The complex system of pathological events driving "chronic" worsening is likely linked with the early accumulation of compartmentalized inflammation within the central nervous system as well as insufficient repair phenomena and mitochondrial failure. These mechanisms are partially lesion-independent and differ from those causing clinical relapses and the formation of new focal demyelinating lesions; they lead to neuroaxonal dysfunction and death, myelin loss, glia alterations, and finally, a neuronal network dysfunction outweighing central nervous system (CNS) compensatory mechanisms. This review aims to provide an overview of the state of the art of neuropathological, immunological, and imaging knowledge about the mechanisms underlying the smoldering disease activity, focusing on possible early biomarkers and their translation into clinical practice. ANN NEUROL 2024;96:1-20.
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Affiliation(s)
- Massimiliano Calabrese
- Department of Neurosciences and Biomedicine and Movement, The Multiple Sclerosis Center of University Hospital of Verona, Verona, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Antonio Scalfari
- Centre of Neuroscience, Department of Medicine, Imperial College, London, UK
| | - Elisa Colato
- Department of Neurosciences and Biomedicine and Movement, The Multiple Sclerosis Center of University Hospital of Verona, Verona, Italy
| | - Damiano Marastoni
- Department of Neurosciences and Biomedicine and Movement, The Multiple Sclerosis Center of University Hospital of Verona, Verona, Italy
| | - Martina Absinta
- Translational Neuropathology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Marco Battaglini
- Siena Imaging S.r.l., Siena, Italy
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Massimiliano Di Filippo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Simon Hametner
- Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Owain W Howell
- Institute of Life Sciences, Swansea University Medical School, Swansea, UK
| | - Matilde Inglese
- Dipartimento di neuroscienze, riabilitazione, oftalmologia, genetica e scienze materno-infantili - DINOGMI, University of Genova, Genoa, Italy
| | - Hans Lassmann
- Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Roland Martin
- Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland
- Therapeutic Design Unit, Center for Molecular Medicine, Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
- Cellerys AG, Schlieren, Switzerland
| | - Richard Nicholas
- Department of Brain Sciences, Faculty of Medicine, Burlington Danes, Imperial College London, London, UK
| | - Richard Reynolds
- Division of Neuroscience, Department of Brain Sciences, Imperial College London, London, UK
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Agnese Tamanti
- Department of Neurosciences and Biomedicine and Movement, The Multiple Sclerosis Center of University Hospital of Verona, Verona, Italy
| | - Marco Vercellino
- Multiple Sclerosis Center & Neurologia I U, Department of Neuroscience, University Hospital AOU Città della Salute e della Scienza di Torino, Turin, Italy
| | - Luisa Maria Villar
- Department of Immunology, Ramon y Cajal University Hospital. IRYCIS. REI, Madrid, Spain
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Roberta Magliozzi
- Department of Neurosciences and Biomedicine and Movement, The Multiple Sclerosis Center of University Hospital of Verona, Verona, Italy
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Gelibter S, Saraceno L, Pirro F, Susani EL, Protti A. As time goes by: Treatment challenges in elderly people with multiple sclerosis. J Neuroimmunol 2024; 391:578368. [PMID: 38761652 DOI: 10.1016/j.jneuroim.2024.578368] [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: 03/11/2024] [Accepted: 05/12/2024] [Indexed: 05/20/2024]
Abstract
A demographic shift in multiple sclerosis (MS) is leading to an increased number of elderly people with MS (pwMS) and a rise in late-onset MS (LOMS) cases. This shift adds complexity to the treatment management of these patients, due to enhanced treatment-associated risks and the possible interplay between immunosenescence and disease-modifying therapies (DMTs). In the present paper, we performed a systematic review of the current evidence concerning the relationship between aging and treatment management in elderly pwMS. Our literature search identified 35 original studies relevant to this topic. The gathered evidence consistently indicates a diminished efficacy of DMTs in older pwMS, particularly in preventing disability accrual. Against this background, high-efficacy therapies (HETs) appear to show less benefit over moderate-low-efficacy DMTs in older patients. These data mainly derive from observational retrospective studies or meta-analyses conducted on randomized clinical trials (RCTs). RCTs, however, exclude pwMS older than 55 years, limiting our ability to acquire robust evidence regarding this patient group. Regarding treatment discontinuation in elderly pwMS with stable disease, the available data, which mainly focuses on older injectable DMTs, suggests that their suspension appears to be relatively safe in terms of disease activity. Nevertheless, the first RCT specifically targeting treatment discontinuation recently failed to demonstrate the non-inferiority of treatment discontinuation over continuation, in terms of MRI activity. On the other hand, the evidence on the impact of discontinuation on disease progression is more conflicting and less robust. Furthermore, there is an important lack of studies concerning sequestering DMTs and virtually no data on the discontinuation of anti-CD20 monoclonal antibodies. De-escalation strategy is gaining attention as a de-risking approach alternative to complete treatment discontinuation. It may be defined as the decision to shift from HETs to less potent DMTs in elderly pwMS who have a stable disease. This strategy could reduce treatment-related risks, while minimizing the risk of disease activity and progression potentially associated with treatment discontinuation. This approach, however, remains unexplored due to a lack of studies. Given these findings, the present scenario underlines the urgent need for more comprehensive and robust studies to develop optimized, data-driven treatment strategies for elderly pwMS and LOMS, addressing the unique challenges of MS treatment and aging.
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Affiliation(s)
- Stefano Gelibter
- Department of Neurosciences, Neurology and Stroke Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
| | - Lorenzo Saraceno
- Department of Neurosciences, Neurology and Stroke Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Fiammetta Pirro
- Department of Neurosciences, Neurology and Stroke Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Emanuela Laura Susani
- Department of Neurosciences, Neurology and Stroke Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Alessandra Protti
- Department of Neurosciences, Neurology and Stroke Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
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Turner TJ, Brun P, Gruber RC, Ofengeim D. Comparative CNS Pharmacology of the Bruton's Tyrosine Kinase (BTK) Inhibitor Tolebrutinib Versus Other BTK Inhibitor Candidates for Treating Multiple Sclerosis. Drugs R D 2024; 24:263-274. [PMID: 38965189 PMCID: PMC11315827 DOI: 10.1007/s40268-024-00468-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Tolebrutinib is a covalent BTK inhibitor designed and selected for potency and CNS exposure to optimize impact on BTK-dependent signaling in CNS-resident cells. We applied a translational approach to evaluate three BTK inhibitors in Phase 3 clinical development in MS with respect to their relative potency to block BTK-dependent signaling and exposure in the CNS METHODS: We used in vitro kinase and cellular activation assays, alongside pharmacokinetic sampling of cerebrospinal fluid (CSF) in the non-human primate cynomolgus to estimate the ability of these candidates (evobrutinib, fenebrutinib, and tolebrutinib) to block BTK-dependent signaling inside the CNS. RESULTS In vitro kinase assays demonstrated that tolebrutinib reacted with BTK 65-times faster than evobrutinib, while fenebrutinib, a classical reversible antagonist with a Ki value of 4.7 nM and slow off-rate (1.54 x 10-5 s-1), also had an association rate 1760-fold slower (0.00245 μM-1 * s-1). Estimates of cellular potency were largely consistent with the in vitro kinase assays, with an estimated IC50 of 0.7 nM for tolebrutinib against 33.5 nM for evobrutinib and 2.9 nM for fenebrutinib. We then observed that evobrutinib, fenebrutinib, and tolebrutinib achieved similar levels of exposure in non-human primate CSF after oral doses of 10 mg/kg. However, tolebrutinib CSF exposure (4.8 ng/mL) (kp,uu CSF=0.40) exceeded the IC90 (the estimated concentration inhibiting 90% of kinase activity) value, while evobrutinib (3.2 ng/mL) (kp,uu CSF=0.13) and fenebrutinib (12.9 ng/mL) (kp,uu CSF=0.15) failed to reach the estimated IC90 values. CONCLUSIONS Tolebrutinib was the only candidate of the three that attained relevant CSF exposure in non-human primates.
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Haghikia A, Schett G, Mougiakakos D. B cell-targeting chimeric antigen receptor T cells as an emerging therapy in neuroimmunological diseases. Lancet Neurol 2024; 23:615-624. [PMID: 38760099 DOI: 10.1016/s1474-4422(24)00140-6] [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: 12/11/2023] [Revised: 03/07/2024] [Accepted: 03/27/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND Neuroimmunology research and development has been marked by substantial advances, particularly in the treatment of neuroimmunological diseases, such as multiple sclerosis, myasthenia gravis, neuromyelitis optica spectrum disorders, and myelin oligodendrocyte glycoprotein antibody disease. With more than 20 drugs approved for multiple sclerosis alone, treatment has become more personalised. The approval of disease-modifying therapies, particularly those targeting B cells, has highlighted the role of immunotherapeutic interventions in the management of these diseases. Despite these successes, challenges remain, particularly for patients who do not respond to conventional therapies, underscoring the need for innovative approaches. RECENT DEVELOPMENTS The approval of monoclonal antibodies, such as ocrelizumab and ofatumumab, which target CD20, and inebilizumab, which targets CD19, for the treatment of various neuroimmunological diseases reflects progress in the understanding and management of B-cell activity. However, the limitations of these therapies in halting disease progression or activity in patients with multiple sclerosis or neuromyelitis optica spectrum disorders have prompted the exploration of cell-based therapies, particularly chimeric antigen receptor (CAR) T cells. Initially successful in the treatment of B cell-derived malignancies, CAR T cells offer a novel therapeutic mechanism by directly targeting and eliminating B cells, potentially overcoming the shortcomings of antibody-mediated B cell depletion. WHERE NEXT?: The use of CAR T cells in autoimmune diseases and B cell-driven neuroimmunological diseases shows promise as a targeted and durable option. CAR T cells act autonomously, penetrating deep tissue and effectively depleting B cells, especially in the CNS. Although the therapeutic potential of CAR T cells is substantial, their application faces hurdles such as complex logistics and management of therapy-associated toxic effects. Ongoing and upcoming clinical trials will be crucial in determining the safety, efficacy, and applicability of CAR T cells. As research progresses, CAR T cell therapy has the potential to transform treatment for patients with neuroimmunological diseases. It could offer extended periods of remission and a new standard in the management of autoimmune and neuroimmunological disorders.
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Affiliation(s)
- Aiden Haghikia
- Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
| | - Georg Schett
- Department of Internal Medicine 3-Rheumatology and Immunology and Deutsches Zentrum Immuntherapie (DZI), Friedrich Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany
| | - Dimitrios Mougiakakos
- Department of Haematology, Oncology, and Cell Therapy and Oncology and Health Campus Immunology, Infectiology, and Inflammation (GCI(3)), Otto-von-Guericke University, Magdeburg, Germany.
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Krämer J, Wiendl H. Bruton tyrosine kinase inhibitors in multiple sclerosis: evidence and expectations. Curr Opin Neurol 2024; 37:237-244. [PMID: 38533819 DOI: 10.1097/wco.0000000000001269] [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: 03/28/2024]
Abstract
PURPOSE OF REVIEW Despite availability of high-efficacy therapies for multiple sclerosis (MS), many patients experience significant disability worsening due to limited effects of currently available drugs on central nervous system (CNS)-compartmentalized inflammation. Bruton tyrosine kinase (BTK) is an intracellular signaling molecule involved in regulation of maturation, survival, migration, and activation of B cells and microglia, which are central players in the immunopathogenesis of progressive MS. Therefore, CNS-penetrant BTK inhibitors may better prevent disease progression by targeting immune cells on both sides of the blood-brain barrier. This review gives an overview on the preliminary results of clinical trials. RECENT FINDINGS Currently, the efficacy and safety of six BTK inhibitors are being evaluated in clinical trials in patients with relapsing and progressive MS. Evobrutinib, tolebrutinib and fenebrutinib have shown efficacy and safety in relapsing MS in phase 2 studies, and evobrutinib and tolebrutinib in their extension studies up to 3-5 years. However, evobrutinib failed to distinguish itself from the comparator drug teriflunomide in reduction of relapse rate (primary end point) in two phase 3 studies in relapsing MS. SUMMARY Inhibition of BTK has emerged as a promising therapeutic approach to target the CNS-compartmentalized inflammation. Results from phase 3 clinical trials will shed light on differences in efficacy and safety of BTK inhibitors and its potential role in the future MS landscape.
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Affiliation(s)
- Julia Krämer
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
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Singhal T, Cicero S, Rissanen E, Ficke J, Kukreja P, Vaquerano S, Glanz B, Dubey S, Sticka W, Seaver K, Kijewski M, Callen AM, Chu R, Carter K, Silbersweig D, Chitnis T, Bakshi R, Weiner HL. Glial Activity Load on PET Reveals Persistent "Smoldering" Inflammation in MS Despite Disease-Modifying Treatment: 18 F-PBR06 Study. Clin Nucl Med 2024; 49:491-499. [PMID: 38630948 DOI: 10.1097/rlu.0000000000005201] [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: 04/19/2024]
Abstract
PURPOSE OF THE REPORT 18 F-PBR06-PET targeting 18-kDa translocator protein can detect abnormal microglial activation (MA) in multiple sclerosis (MS). The objectives of this study are to develop individualized mapping of MA using 18 F-PBR06, to determine the effect of disease-modifying treatment (DMT) efficacy on reducing MA, and to determine its clinical, radiological, and serological correlates in MS patients. PATIENTS AND METHODS Thirty 18 F-PBR06-PET scans were performed in 22 MS patients (mean age, 46 ± 13 years; 16 females) and 8 healthy controls (HCs). Logarithmically transformed "glial activity load on PET" scores (calculated as the sum of voxel-by-voxel z -scores ≥4), "lnGALP," were compared between MS and HC and between MS subjects on high-efficacy DMTs (H-DMT, n = 13) and those on no or lower-efficacy treatment, and correlated with clinical measures, serum biomarkers, and cortical thickness. RESULTS Cortical gray matter (CoGM) and white matter (WM) lnGALP scores were higher in MS versus HC (+33% and +48%, P < 0.001). In H-DMT group, CoGM and WM lnGALP scores were significantly lower than lower-efficacy treatment ( P < 0.01) but remained abnormally higher than in HC group ( P = 0.006). Within H-DMT patients, CoGM lnGALP scores correlated positively with physical disability, fatigue and serum glial fibrillary acid protein levels ( r = 0.65-0.79, all P 's < 0.05), and inversely with cortical thickness ( r = -0.66, P < 0.05). CONCLUSIONS High-efficacy DMTs decrease, but do not normalize, CoGM and WM MA in MS patients. Such "residual" MA in CoGM is associated with clinical disability, serum biomarkers, and cortical degeneration. Individualized mapping of translocator protein PET using 18 F-PBR06 is clinically feasible and can potentially serve as an imaging biomarker for evaluating "smoldering" inflammation in MS patients.
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Affiliation(s)
| | - Steven Cicero
- From the Department of Neurology, PET Imaging Program in Neurologic Diseases
| | - Eero Rissanen
- From the Department of Neurology, PET Imaging Program in Neurologic Diseases
| | - John Ficke
- From the Department of Neurology, PET Imaging Program in Neurologic Diseases
| | - Preksha Kukreja
- From the Department of Neurology, PET Imaging Program in Neurologic Diseases
| | - Steven Vaquerano
- From the Department of Neurology, PET Imaging Program in Neurologic Diseases
| | - Bonnie Glanz
- Department of Neurology, Brigham Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases
| | - Shipra Dubey
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology
| | - William Sticka
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology
| | - Kyle Seaver
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology
| | - Marie Kijewski
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology
| | - Alexis M Callen
- Department of Neurology, Brigham Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases
| | - Renxin Chu
- Department of Neurology, Brigham Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases
| | - Kelsey Carter
- From the Department of Neurology, PET Imaging Program in Neurologic Diseases
| | - David Silbersweig
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Tanuja Chitnis
- Department of Neurology, Brigham Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases
| | - Rohit Bakshi
- Department of Neurology, Brigham Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases
| | - Howard L Weiner
- Department of Neurology, Brigham Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases
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Al-Hawary SIS, Jasim SA, Hjazi A, Ullah H, Bansal P, Deorari M, Sapaev IB, Ami AA, Mohmmed KH, Abosaoda MK. A new perspective on therapies involving B-cell depletion in autoimmune diseases. Mol Biol Rep 2024; 51:629. [PMID: 38717637 DOI: 10.1007/s11033-024-09575-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 04/22/2024] [Indexed: 06/30/2024]
Abstract
It has been rediscovered in the last fifteen years that B-cells play an active role in autoimmune etiology rather than just being spectators. The clinical success of B-cell depletion therapies (BCDTs) has contributed to this. BCDTs, including those that target CD20, CD19, and BAFF, were first developed to eradicate malignant B-cells. These days, they treat autoimmune conditions like multiple sclerosis and systemic lupus erythematosus. Particular surprises have resulted from the use of BCDTs in autoimmune diseases. For example, even in cases where BCDT is used to treat the condition, its effects on antibody-secreting plasma cells and antibody levels are restricted, even though these cells are regarded to play a detrimental pathogenic role in autoimmune diseases. In this Review, we provide an update on our knowledge of the biology of B-cells, examine the outcomes of clinical studies employing BCDT for autoimmune reasons, talk about potential explanations for the drug's mode of action, and make predictions about future approaches to targeting B-cells other than depletion.
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Affiliation(s)
| | | | - Ahmed Hjazi
- Department of Medical Laboratory, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, 11942, Al-Kharj, Saudi Arabia
| | - Himayat Ullah
- College of Medicine, Shaqra University, 15526, Shaqra, Saudi Arabia.
| | - Pooja Bansal
- Department of Biotechnology and Genetics, Jain (Deemed-to-Be) University, Bengaluru, Karnataka, 560069, India
- Department of Allied Healthcare and Sciences, Vivekananda Global University, Jaipur, Rajasthan, 303012, India
| | - Mahamedha Deorari
- Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India
| | - I B Sapaev
- Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University, Tashkent, Uzbekistan
- Scientific Researcher, Western Caspian University, Baku, Azerbaijan
| | - Ahmed Ali Ami
- Department of Medical Laboratories Technology, Al-Nisour University College, Baghdad, Iraq
| | | | - Munther Kadhim Abosaoda
- College of Pharmacy, The Islamic University, Najaf, Iraq
- College of Pharmacy, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
- College of Pharmacy, The Islamic University of Babylon, Hillah, Iraq
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Mahla RS. Lymphocytic infiltration in multiple sclerosis. Mult Scler Relat Disord 2024; 85:105533. [PMID: 38479047 DOI: 10.1016/j.msard.2024.105533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/26/2023] [Accepted: 02/29/2024] [Indexed: 05/07/2024]
Affiliation(s)
- Ranjeet Singh Mahla
- Kennedy Institute of Rheumatology, University of Oxford, Headington, Oxford, OX3 7FY, UK.
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Tan H, Li X, Li Y, He F, ZhangBao J, Zhou L, Yang L, Zhao C, Lu C, Dong Q, Li H, Quan C. Real-world experience of teriflunomide in relapsing multiple sclerosis: paramagnetic rim lesions may play a role. Front Immunol 2024; 15:1343531. [PMID: 38558796 PMCID: PMC10979358 DOI: 10.3389/fimmu.2024.1343531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 02/26/2024] [Indexed: 04/04/2024] Open
Abstract
Objectives The aims of this study were to report the effectiveness and safety of teriflunomide in Chinese patients with relapsing-remitting multiple sclerosis (RRMS) and to explore the association of paramagnetic rim lesion (PRL) burden with patient outcome in the context of teriflunomide treatment and the impact of teriflunomide on PRL burden. Methods This is a prospective observational study. A total of 100 RRMS patients treated with teriflunomide ≥3 months were included in analyzing drug persistence and safety. Among them, 96 patients treated ≥6 months were included in assessing drug effectiveness in aspects of no evidence of disease activity (NEDA) 3. The number and total volume of PRL were calculated in 76 patients with baseline susceptibility-weighted imaging (SWI), and their association with NEDA3 failure during teriflunomide treatment was investigated. Results Over a treatment period of 19.7 (3.1-51.7) months, teriflunomide reduced annualized relapse rate (ARR) from 1.1 ± 0.8 to 0.3 ± 0.5, and Expanded Disability Status Scale (EDSS) scores remained stable. At month 24, the NEDA3% and drug persistence rate were 43.8% and 65.1%, respectively. In patients with a baseline SWI, 81.6% had at least 1 PRL, and 42.1% had ≥4 PRLs. The total volume of PRL per patient was 0.3 (0.0-11.5) mL, accounting for 2.3% (0.0%-49.0%) of the total T2 lesion volume. Baseline PRL number ≥ 4 (OR = 4.24, p = 0.009), younger onset age (OR = 0.94, p = 0.039), and frequent relapses in initial 2 years of disease (OR = 13.40, p = 0.026) were associated with NEDA3 failure. The PRL number and volume were not reduced (p = 0.343 and 0.051) after teriflunomide treatment for more than 24 months. No new safety concerns were identified in this study. Conclusion Teriflunomide is effective in reducing ARR in Chinese patients with RRMS. Patients with less PRL burden, less frequent relapses, and relatively older age are likely to benefit more from teriflunomide, indicating that PRL might be a valuable measurement to inform clinical treatment decision.
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Affiliation(s)
- Hongmei Tan
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Xiang Li
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Yuxin Li
- National Center for Neurological Disorders, Shanghai, China
- Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
| | - Fanru He
- National Center for Neurological Disorders, Shanghai, China
- Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jingzi ZhangBao
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Lei Zhou
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Liqin Yang
- National Center for Neurological Disorders, Shanghai, China
- Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
| | - Chongbo Zhao
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Chuanzhen Lu
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
| | - Haiqing Li
- National Center for Neurological Disorders, Shanghai, China
- Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China
| | - Chao Quan
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- National Center for Neurological Disorders, Shanghai, China
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Carlson AK, Amin M, Cohen JA. Drugs Targeting CD20 in Multiple Sclerosis: Pharmacology, Efficacy, Safety, and Tolerability. Drugs 2024; 84:285-304. [PMID: 38480630 PMCID: PMC10982103 DOI: 10.1007/s40265-024-02011-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2024] [Indexed: 04/02/2024]
Abstract
Currently, there are four monoclonal antibodies (mAbs) that target the cluster of differentiation (CD) 20 receptor available to treat multiple sclerosis (MS): rituximab, ocrelizumab, ofatumumab, and ublituximab. B-cell depletion therapy has changed the therapeutic landscape of MS through robust efficacy on clinical manifestations and MRI lesion activity, and the currently available anti-CD20 mAb therapies for use in MS are a cornerstone of highly effective disease-modifying treatment. Ocrelizumab is currently the only therapy with regulatory approval for primary progressive MS. There are currently few data regarding the relative efficacy of these therapies, though several clinical trials are ongoing. Safety concerns applicable to this class of therapeutics relate primarily to immunogenicity and mechanism of action, and include infusion-related or injection-related reactions, development of hypogammaglobulinemia (leading to increased infection and malignancy risk), and decreased vaccine response. Exploration of alternative dose/dosing schedules might be an effective strategy for mitigating these risks. Future development of biosimilar medications might make these therapies more readily available. Although anti-CD20 mAb therapies have led to significant improvements in disease outcomes, CNS-penetrant therapies are still needed to more effectively address the compartmentalized inflammation thought to play an important role in disability progression.
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Affiliation(s)
- Alise K Carlson
- Mellen Center, Neurologic Institute, Cleveland Clinic, 9500 Euclid Ave U10, Cleveland, OH, 44195, USA
| | - Moein Amin
- Mellen Center, Neurologic Institute, Cleveland Clinic, 9500 Euclid Ave U10, Cleveland, OH, 44195, USA
| | - Jeffrey A Cohen
- Mellen Center, Neurologic Institute, Cleveland Clinic, 9500 Euclid Ave U10, Cleveland, OH, 44195, USA.
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De Keersmaecker AV, Van Doninck E, Popescu V, Willem L, Cambron M, Laureys G, D’ Haeseleer M, Bjerke M, Roelant E, Lemmerling M, D’hooghe MB, Derdelinckx J, Reynders T, Willekens B. A metformin add-on clinical study in multiple sclerosis to evaluate brain remyelination and neurodegeneration (MACSiMiSE-BRAIN): study protocol for a multi-center randomized placebo controlled clinical trial. Front Immunol 2024; 15:1362629. [PMID: 38680485 PMCID: PMC11046490 DOI: 10.3389/fimmu.2024.1362629] [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: 12/28/2023] [Accepted: 02/05/2024] [Indexed: 05/01/2024] Open
Abstract
Introduction Despite advances in immunomodulatory treatments of multiple sclerosis (MS), patients with non-active progressive multiple sclerosis (PMS) continue to face a significant unmet need. Demyelination, smoldering inflammation and neurodegeneration are important drivers of disability progression that are insufficiently targeted by current treatment approaches. Promising preclinical data support repurposing of metformin for treatment of PMS. The objective of this clinical trial is to evaluate whether metformin, as add-on treatment, is superior to placebo in delaying disease progression in patients with non-active PMS. Methods and analysis MACSiMiSE-BRAIN is a multi-center two-arm, 1:1 randomized, triple-blind, placebo-controlled clinical trial, conducted at five sites in Belgium. Enrollment of 120 patients with non-active PMS is planned. Each participant will undergo a screening visit with assessment of baseline magnetic resonance imaging (MRI), clinical tests, questionnaires, and a safety laboratory assessment. Following randomization, participants will be assigned to either the treatment (metformin) or placebo group. Subsequently, they will undergo a 96-week follow-up period. The primary outcome is change in walking speed, as measured by the Timed 25-Foot Walk Test, from baseline to 96 weeks. Secondary outcome measures include change in neurological disability (Expanded Disability Status Score), information processing speed (Symbol Digit Modalities Test) and hand function (9-Hole Peg test). Annual brain MRI will be performed to assess evolution in brain volumetry and diffusion metrics. As patients may not progress in all domains, a composite outcome, the Overall Disability Response Score will be additionally evaluated as an exploratory outcome. Other exploratory outcomes will consist of paramagnetic rim lesions, the 2-minute walking test and health economic analyses as well as both patient- and caregiver-reported outcomes like the EQ-5D-5L, the Multiple Sclerosis Impact Scale and the Caregiver Strain Index. Ethics and dissemination Clinical trial authorization from regulatory agencies [Ethical Committee and Federal Agency for Medicines and Health Products (FAMHP)] was obtained after submission to the centralized European Clinical Trial Information System. The results of this clinical trial will be disseminated at scientific conferences, in peer-reviewed publications, to patient associations and the general public. Trial registration ClinicalTrials.gov Identifier: NCT05893225, EUCT number: 2023-503190-38-00.
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Affiliation(s)
- Anna-Victoria De Keersmaecker
- Department of Neurology, Antwerp University Hospital, Edegem, Belgium
- Translational Neurosciences Research Group, Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium
| | - Eline Van Doninck
- Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
- Center of Health Economic Research and Modelling Infectious Diseases, University of Antwerp, Wilrijk, Belgium
| | - Veronica Popescu
- Immunology and Infection, University of Hasselt, Diepenbeek, Belgium
- Biomedical Research Institute, University of Hasselt, Diepenbeek, Belgium
- Department of Neurology, Noorderhart Maria Hospital, Pelt, Belgium
- University Multiple Sclerosis Centre, University of Hasselt, Hasselt, Belgium
| | - Lander Willem
- Department of Family Medicine and Population Health, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
- Center of Health Economic Research and Modelling Infectious Diseases, University of Antwerp, Wilrijk, Belgium
| | - Melissa Cambron
- Faculty of Medicine and Health Sciences, University of Ghent, Ghent, Belgium
- Department of Neurology, Algemeen Ziekenhuis Sint Jan, Bruges, Belgium
| | - Guy Laureys
- Faculty of Medicine and Health Sciences, University of Ghent, Ghent, Belgium
- Department of Neurology, University Hospital Ghent, Ghent, Belgium
| | - Miguel D’ Haeseleer
- Department of Neurology, University Hospital Brussels, Brussels, Belgium
- Department of Neurology, National Multiple Sclerosis Center, Melsbroek, Belgium
- Department Neuroprotection and Neuromodulation, Center for Neurosciences, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Maria Bjerke
- Department Neuroprotection and Neuromodulation, Center for Neurosciences, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
- Neurochemistry Laboratory, Department of Clinical Biology, Brussels, University Hospital Brussels, Brussels, Belgium
- Department of Biomedical Sciences, University of Antwerp, Wilrijk, Belgium
| | - Ella Roelant
- Clinical Trial Center, Antwerp University Hospital, Edegem, Belgium
| | - Marc Lemmerling
- Department of Radiology, Antwerp University Hospital, Edegem, Wilrijk, Belgium
| | - Marie Beatrice D’hooghe
- Department of Neurology, University Hospital Brussels, Brussels, Belgium
- Department of Neurology, National Multiple Sclerosis Center, Melsbroek, Belgium
- Department Neuroprotection and Neuromodulation, Center for Neurosciences, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Brussels, Belgium
| | - Judith Derdelinckx
- Department of Neurology, Antwerp University Hospital, Edegem, Belgium
- Laboratory of Experimental Hematology, Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
| | - Tatjana Reynders
- Department of Neurology, Antwerp University Hospital, Edegem, Belgium
- Translational Neurosciences Research Group, Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium
| | - Barbara Willekens
- Department of Neurology, Antwerp University Hospital, Edegem, Belgium
- Translational Neurosciences Research Group, Faculty of Medicine and Health Sciences, University of Antwerp, Edegem, Belgium
- Laboratory of Experimental Hematology, Vaccine and Infectious Disease Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
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Clarke MA, Cheek R, Kazimuddin HF, Hernandez B, Clarke R, McKnight CD, Derwenskus J, Eaton J, Irlmeier R, Ye F, O’Grady KP, Rogers B, Smith SA, Bagnato F. Paramagnetic rim lesions and the central vein sign: Characterizing multiple sclerosis imaging markers. J Neuroimaging 2024; 34:86-94. [PMID: 38018353 PMCID: PMC10842224 DOI: 10.1111/jon.13173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/09/2023] [Accepted: 11/14/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND AND PURPOSE Paramagnetic rims and the central vein sign (CVS) are proposed imaging markers of multiple sclerosis (MS) lesions. Using 7 tesla magnetic resonance imaging, we aimed to: (1) characterize the appearance of paramagnetic rim lesions (PRLs); (2) assess whether PRLs and the CVS are associated with higher levels of MS pathology; and (3) compare the characteristics between subjects with and without PRLs in early MS. METHODS Prospective study of 32 treatment-naïve subjects around the time of diagnosis who were assessed for the presence of PRLs and the CVS. Comparisons of lesion volume and macromolecular pool size ratio (PSR) index, a proxy of myelin integrity, between PRLs and non-PRLs, and CVS-positive and CVS-negative lesions were carried out. Differences in clinical/demographic characteristics between patients with PRLs and those without were tested. RESULTS Fifteen subjects had ≥1 PRL for a total of 36 PRLs, of which two-thirds had a full rim. PRLs predicted a larger lesion size and decreased PSR signal. Lesion volume and presence of cervical spine lesions were significantly different between subjects with PRLs and those without, although neither remained significant after adjusting for multiple comparisons. One hundred and eighty-one lesions with CVS were identified with no differences between CVS-positive and CVS-negative lesions in volume (p = .27) and PSR values (p = .62). CONCLUSIONS PRLs, but not CVS-positive lesions, are larger and have lower myelin integrity. Our findings indicate that PRLs are associated with higher levels of lesion-specific pathology prior to the start of disease-modifying therapy.
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Affiliation(s)
- Margareta A. Clarke
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
| | - Rachael Cheek
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
- Meharry Medical College
| | - Habeeb F. Kazimuddin
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
| | - Bryan Hernandez
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
- Vanderbilt Medical Scientist Training Program, Vanderbilt University
| | - Reece Clarke
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
| | - Colin D. McKnight
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center
| | - Joy Derwenskus
- Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
| | - James Eaton
- Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
| | - Rebecca Irlmeier
- Department of Biostatistics, Vanderbilt University Medica Center
| | - Fei Ye
- Department of Biostatistics, Vanderbilt University Medica Center
| | - Kristin P. O’Grady
- Vanderbilt Medical Scientist Training Program, Vanderbilt University
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medica Center
| | - Baxter Rogers
- Vanderbilt Medical Scientist Training Program, Vanderbilt University
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medica Center
| | - Seth A. Smith
- Vanderbilt Medical Scientist Training Program, Vanderbilt University
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medica Center
| | - Francesca Bagnato
- Neuroimaging Unit, Neuro-immunology Division, Department of Neurology, Vanderbilt University Medical Center
- Department of Neurology, VA Hospital, TN Valley Healthcare Center, Nashville, TN
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