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Rubin M, Preziosa P, Margoni M, Meani A, Pagani E, Corazzolla G, Storelli L, Mistri D, Filippi M, Rocca MA. Dynamics of choroid plexus volume is associated with the presence and development of fatigue in multiple sclerosis. J Neurol Neurosurg Psychiatry 2025; 96:443-452. [PMID: 39389772 DOI: 10.1136/jnnp-2024-334913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Accepted: 09/26/2024] [Indexed: 10/12/2024]
Abstract
BACKGROUND Immune-mediated processes are implicated in the pathogenesis of fatigue, a common symptom in multiple sclerosis (MS). The choroid plexus (CP) regulates central nervous system (CNS) immune homeostasis and undergoes volumetric modifications possibly contributing to MS-related fatigue. We explored the association between MS-related CP volume changes and fatigue dynamics. METHOD Eighty-five patients with MS and 68 healthy controls (HC) underwent brain 3T MRI, neurological evaluation and Modified Fatigue Impact Scale (MFIS) at two timepoints (median follow-up=1.4 years). Normalised brain and regional grey matter (GM) volumes were obtained using FSL-SIENAx, FIRST, SIENA and tensor-based morphometry. CP volumes were quantified with in-house methods, and longitudinal changes were analysed using linear mixed models. RESULTS At baseline, 25 (29%) patients with MS had fatigue (f-MS) (MFIS ≥38). Compared with HC, patients with MS had significantly higher brain T2-lesion volume, lower brain, deep GM, cortical volumes and higher CP volume (false discovery rate (FDR)-p ≤0.024). Compared with non-fatigued (nf-MS) patients, f-MS were older, more disabled (FDR-p ≤0.002) and showed numerically higher CP volume (FDR-p=0.076). At follow-up, 41 (68%) nf-MS remained non-fatigued (nf-FU-MS) and 19 (32%) developed fatigue (f-FU-MS). Patients with MS showed higher brain and deep GM atrophy rates versus HC (FDR-p ≤0.048), whereas clinical, lesional and brain volumetric changes were not significantly different among MS groups (FDR-p ≥0.287). CP volume significantly increased in all MS groups compared with HC (FDR-p ≤0.043), with greater enlargement in f-FU-MS versus nf-FU-MS (FDR-p=0.048). CONCLUSIONS Larger CP and greater enlargement are associated with the presence and development of fatigue in MS, likely reflecting dynamic inflammatory states within the CNS, supporting the immunological contribution to MS-related fatigue.
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Affiliation(s)
- Martina Rubin
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Monica Margoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurorehabilitation Unit, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Alessandro Meani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Gianluca Corazzolla
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Loredana Storelli
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Damiano Mistri
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
- Neurorehabilitation Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurophysiology Service, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
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Lambe J, Ontaneda D. Re-defining progression in multiple sclerosis. Curr Opin Neurol 2025:00019052-990000000-00237. [PMID: 40197617 DOI: 10.1097/wco.0000000000001369] [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: 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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3
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Vavasour I, Elliott C, Arnold DL, Gaetano L, Clayton D, Magon S, Bonati U, Bernasconi C, Traboulsee A, Kolind S. Presence of slowly expanding lesions in multiple sclerosis predicts progressive demyelination within lesions and normal-appearing tissue over time. Mult Scler 2025; 31:418-432. [PMID: 39950257 PMCID: PMC11956371 DOI: 10.1177/13524585251316519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 01/08/2025] [Accepted: 01/13/2025] [Indexed: 04/02/2025]
Abstract
BACKGROUND Multiple sclerosis (MS) slowly expanding lesions (SELs) are defined on magnetic resonance imaging (MRI) as contiguous regions of pre-existing focal non-contrast-enhancing T2 lesions with constant and concentric local expansion on conventional T1-weighted and T2-weighted images. SELs are associated with an increased risk of disability progression. METHODS Myelin-related changes detected using myelin water fraction (MWF) and magnetisation transfer ratio (MTR) in SELs and T2 lesions were measured over 192 weeks in participants with relapsing MS. RESULTS In participants with SELs (SEL+), SELs (MWF: 0.12 ± 0.03, MTR: 33.1 ± 3.6 pu) showed reduced myelin measures at baseline compared to T2 lesions (MWF: 0.13 ± 0.02, MTR: 35.1 ± 2.4 pu). In participants without SELs (SEL-), T2 lesions had higher myelin measures (MWF: 0.15 ± 0.02, MTR: 36.2 ± 2.0 pu) compared to T2 lesions in SEL+. Over 4 years, only SELs showed decreases in MWF (-11.4%). The percentage of abnormal voxels within normal-appearing white matter was higher in SEL+ and increased over time (SEL+ MWF Week 0: 0.56%, Week 192: 0.98%; SEL- MWF Week 0: 0.13%, Week 192: 0.25%). CONCLUSION Our results indicate progressive focal and global demyelination in SEL+ participants and that the presence of SELs might be a biomarker for participants with ongoing diffuse or smouldering inflammation within the whole brain.
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Affiliation(s)
- Irene Vavasour
- The University of British Columbia, Vancouver, BC, Canada
| | | | - Douglas L Arnold
- NeuroRx Research, Montreal, QC, Canada; McGill University, Montreal, QC, Canada
| | | | | | | | | | | | | | - Shannon Kolind
- The University of British Columbia, Vancouver, BC, Canada
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4
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Brieva L, Calles C, Landete L, Oreja-Guevara C. Current challenges in secondary progressive multiple sclerosis: diagnosis, activity detection and treatment. Front Immunol 2025; 16:1543649. [PMID: 40191208 PMCID: PMC11968352 DOI: 10.3389/fimmu.2025.1543649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2024] [Accepted: 02/25/2025] [Indexed: 04/09/2025] Open
Abstract
Approximately 50% diagnosed with relapsing-remitting multiple sclerosis (RRMS) transition to secondary progressive multiple sclerosis (SPMS) within 20 years following disease onset. However, early diagnosis of SPMS and effective treatment remain important clinical challenges. The lack of established diagnostic criteria often leads to delays in identifying SPMS. Also, there are limited disease-modifying therapies (DMTs) available for progressive forms of MS, and these therapies require evidence of disease activity to be initiated. This review examines the challenges in diagnosing SPMS at an early stage and summarizes the current and potential use of biomarkers of disease progression in clinical practice. We also discuss the difficulties in initiating the DMTs indicated for active SPMS (aSPMS), particularly in patients already undergoing treatment with DMTs that suppress disease activity, which may mask the presence of inflammatory activity required for the therapy switch. The article also addresses the DMTs available for both active and non-active SPMS, along with the clinical trials that supported the approval of DMTs indicated for aSPMS or relapsing MS in Europe, which includes aSPMS. We also offer insights on when discontinuing these treatments may be appropriate.
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Affiliation(s)
- Luis Brieva
- Neurology Department, Hospital Universitari Arnau de Vilanova, Lleida, Spain
- Medicine Department, Universitat de Lleida (UdL), Lleida, Spain
- Neuroimmunology Group, Institut de Recerca Biomedica de Lleida (IRBLLEIDA), Lleida, Spain
| | - Carmen Calles
- Neurology Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Lamberto Landete
- Neurology Department, Hospital Universitario Doctor Peset, Valencia, Spain
| | - Celia Oreja-Guevara
- Department of Neurology, Hospital Clinico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Departament of Medicine, Medicine Faculty, Universidad Complutense de Madrid (UCM), Madrid, Spain
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5
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Rocca MA, Preziosa P, Filippi M. Advances in neuroimaging of multiple sclerosis. Curr Opin Neurol 2025:00019052-990000000-00229. [PMID: 40104925 DOI: 10.1097/wco.0000000000001360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [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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Kornberg MD, Calabresi PA. Multiple Sclerosis and Other Acquired Demyelinating Diseases of the Central Nervous System. Cold Spring Harb Perspect Biol 2025; 17:a041374. [PMID: 38806240 PMCID: PMC11875095 DOI: 10.1101/cshperspect.a041374] [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] [Indexed: 05/30/2024]
Abstract
Acquired demyelinating diseases of the central nervous system (CNS) comprise inflammatory conditions, including multiple sclerosis (MS) and related diseases, as well as noninflammatory conditions caused by toxic, metabolic, infectious, traumatic, and neurodegenerative insults. Here, we review the spectrum of diseases producing acquired CNS demyelination before focusing on the prototypical example of MS, exploring the pathologic mechanisms leading to myelin injury in relapsing and progressive MS and summarizing the mechanisms and modulators of remyelination. We highlight the complex interplay between the immune system, oligodendrocytes and oligodendrocyte progenitor cells (OPCs), and other CNS glia cells such as microglia and astrocytes in the pathogenesis and clinical course of MS. Finally, we review emerging therapeutic strategies that exploit our growing understanding of disease mechanisms to limit progression and promote remyelination.
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Affiliation(s)
- Michael D Kornberg
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland 21287, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland 21287, USA
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, Maryland 21205, USA
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7
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Zhou F, Zhuo Z, Wu L, Li Y, Zhang N, Han X, Zeng C, Wang L, Chen X, Huang M, Zhu Y, Li H, Cao G, Sun J, Li Y, Duan Y. Complexity of intrinsic brain activity in relapsing-remitting multiple sclerosis patients: patterns, association with structural damage, and clinical disability. LA RADIOLOGIA MEDICA 2025; 130:286-295. [PMID: 39775387 DOI: 10.1007/s11547-024-01925-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 10/29/2024] [Indexed: 01/11/2025]
Abstract
Functional plasticity has been demonstrated in multiple sclerosis (MS) studies. However, the intrinsic brain activity complexity alterations remain unclear. Here, using a coarse-graining time-series procedure algorithm, we obtained multiscale entropy (MSE) from a retrospective multi-centre dataset (208 relapsing-remitting MS patients and 228 healthy controls). By linear mixed model analysis, we demonstrated (1) increased entropy at scale 1 and decreased entropy at scale 6, indicating that regional brain activity shifted towards randomness in the stable MS subgroups (n = 159), and (2) decreased entropy across scales 1-6, trending towards regularity in the acute MS subgroups (n = 49). The main results of the correlation analysis included the following: (1) Decreased entropy was associated with lesion volume and brain volume specifically on longer time scales (scale 3-5), and (2) increased entropy of scale 3 was associated with clinical disability scores. These findings reflect the critical role of structural disruption in the brain activity complexity of BOLD signals in MS patients.
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Affiliation(s)
- Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Lin Wu
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Yuxin Li
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Ningnannan Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xuemei Han
- Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, 130031, Jilin Province, China
| | - Chun Zeng
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Lei Wang
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Xiaoya Chen
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Muhua Huang
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Yanyan Zhu
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, 330006, Jiangxi Province, China
| | - Haiqing Li
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Guanmei Cao
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Jie Sun
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Yongmei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
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8
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Messmer ML, Salapa HE, Popescu BF, Levin MC. RNA Binding Protein Dysfunction Links Smoldering/Slowly Expanding Lesions to Neurodegeneration in Multiple Sclerosis. Ann Neurol 2025; 97:313-328. [PMID: 39422285 DOI: 10.1002/ana.27114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 10/01/2024] [Accepted: 10/02/2024] [Indexed: 10/19/2024]
Abstract
OBJECTIVE Despite the advances in treatments for multiple sclerosis (MS), unremitting neurodegeneration continues to drive disability and disease progression. Smoldering/slowly expanding lesions (SELs) and dysfunction of the RNA binding protein (RBP) heterogeneous nuclear ribonucleoprotein A1 (hnRNP A1) are pathologic hallmarks of MS cortex and intricately tied to disability and neurodegeneration, respectively. We hypothesized that neuronal hnRNP A1 dysfunction contributes to neurodegeneration and is exacerbated by smoldering/SELs in progressive MS. METHODS Neuronal hnRNP A1 pathology (nucleocytoplasmic mislocalization of hnRNP A1) was examined in healthy control and MS brains using immunohistochemistry. MS cases were stratified by severity of hnRNP A1 pathology to examine the link between RBP dysfunction, demyelination, and neurodegeneration. RESULTS We found that smoldering/SELs were only present within a subset of MS tissues characterized by elevated neuronal hnRNP A1 pathology (MS-A1high) in adjacent cortical gray matter. In contrast to healthy controls and MS with low hnRNP A1 pathology (MS-A1low), MS-A1high showed elevated markers of neurodegeneration, including neuronal loss and injury, brain atrophy, axonal loss, and axon degeneration. Additionally, we discovered a subpopulation of morphologically intact neurons lacking expression of NeuN, a neuron-specific RBP, in cortical projection neurons in MS-A1high cases. INTERPRETATION hnRNP A1 dysfunction contributes to neurodegeneration and may be exacerbated by smoldering/SELs in progressive MS. The discovery of NeuN-negative neurons suggests that some cortical neurons may only be injured and not lost. By characterizing RBP pathology in MS cortex, this study has important implications for understanding the pathogenic mechanisms driving neurodegeneration, the substrate of disability and disease progression. ANN NEUROL 2025;97:313-328.
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Affiliation(s)
- Miranda L Messmer
- Office of the Saskatchewan Multiple Sclerosis Clinical Research Chair, University of Saskatchewan, Saskatoon, SK, Canada
- Cameco MS Neuroscience Research Centre, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
- Department of Anatomy, Physiology and Pharmacology, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Hannah E Salapa
- Office of the Saskatchewan Multiple Sclerosis Clinical Research Chair, University of Saskatchewan, Saskatoon, SK, Canada
- Cameco MS Neuroscience Research Centre, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
- Neurology Division, Department of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Bogdan F Popescu
- Cameco MS Neuroscience Research Centre, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
- Department of Anatomy, Physiology and Pharmacology, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
| | - Michael C Levin
- Office of the Saskatchewan Multiple Sclerosis Clinical Research Chair, University of Saskatchewan, Saskatoon, SK, Canada
- Cameco MS Neuroscience Research Centre, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
- Department of Anatomy, Physiology and Pharmacology, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
- Neurology Division, Department of Medicine, University of Saskatchewan, Saskatoon, SK, Canada
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9
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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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10
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Gharibani P, Abramson E, Shanmukha S, Smith MD, Godfrey WH, Lee JJ, Hu J, Baydyuk M, Dorion MF, Deng X, Guo Y, Calle AJ, A Hwang S, Huang JK, Calabresi PA, Kornberg MD, Kim PM. The protein kinase C modulator bryostatin-1 therapeutically targets microglia to attenuate neuroinflammation and promote remyelination. Sci Transl Med 2025; 17:eadk3434. [PMID: 39772770 DOI: 10.1126/scitranslmed.adk3434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/19/2024] [Accepted: 12/05/2024] [Indexed: 01/11/2025]
Abstract
In multiple sclerosis (MS), microglia and macrophages within the central nervous system (CNS) play an important role in determining the balance among demyelination, neurodegeneration, and myelin repair. Phagocytic and regenerative functions of these CNS innate immune cells support remyelination, whereas chronic and maladaptive inflammatory activation promotes lesion expansion and disability, particularly in the progressive forms of MS. No currently approved drugs convincingly target microglia and macrophages within the CNS, contributing to the lack of therapies aimed at promoting remyelination and slowing disease progression for individuals with MS. Here, we found that the protein kinase C (PKC)-modulating drug bryostatin-1 (bryo-1), a CNS-penetrant compound with an established human safety profile, shifts the transcriptional programs of microglia and CNS-associated macrophages from a proinflammatory phenotype to a regenerative phenotype in vitro and in vivo. Treatment of microglia with bryo-1 stimulated scavenger pathways, phagocytosis, and secretion of factors that prevented the activation of neuroinflammatory reactive astrocytes while also promoting neuroaxonal health and oligodendrocyte differentiation. In line with these findings, systemic treatment of mice with bryo-1 augmented remyelination after a focal demyelinating injury. Our results demonstrate the potential of bryo-1 and possibly a wider class of PKC modulators as myelin-regenerative and supportive agents in MS and other neurologic diseases.
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Affiliation(s)
- Payam Gharibani
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Efrat Abramson
- Interdepartmental Neuroscience Program, Yale University School of Medicine, Yale University, New Haven, CT 06510, USA
| | - Shruthi Shanmukha
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Matthew D Smith
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Wesley H Godfrey
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Judy J Lee
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Jingwen Hu
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Biology, Georgetown University, Washington, DC 20057, USA
| | - Maryna Baydyuk
- Department of Biology, Georgetown University, Washington, DC 20057, USA
| | - Marie-France Dorion
- Neuroimmunology Unit, Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada
| | - Xiaojing Deng
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Yu Guo
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Andrew J Calle
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Soonmyung A Hwang
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Jeffrey K Huang
- Department of Biology, Georgetown University, Washington, DC 20057, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Michael D Kornberg
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Paul M Kim
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
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11
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Disanto G, Schaedelin S, Oechtering J, Lorscheider J, Galbusera R, Finkener S, Achtnichts L, Lalive P, Müller S, Pot C, Hoepner R, Salmen A, Zecca C, Hemkens LG, D’Souza M, Fischer-Barnicol B, Du Pasquier R, Roth P, Yaldizli Ö, Einsiedler M, Derfuss T, Kappos L, Gobbi C, Granziera C, Uginet M, Maceski AM, McDonald K, Leppert D, Benkert P, Kuhle J. Treatment persistence and clinical outcomes in patients starting B cell depleting therapies within the Swiss MS Cohort. Mult Scler J Exp Transl Clin 2025; 11:20552173251315457. [PMID: 40017897 PMCID: PMC11866361 DOI: 10.1177/20552173251315457] [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: 08/28/2024] [Accepted: 01/08/2025] [Indexed: 03/01/2025] Open
Abstract
Background Persistence to B cell depleting therapies (BCDT) like ocrelizumab and rituximab may be higher compared with other disease-modifying therapies (DMT) in multiple sclerosis (MS). Clinical trials directly comparing these treatments are lacking. Objective To compare the risk of treatment discontinuation, relapse, and confirmed disability worsening in patients starting BCDT vs other DMT within real-world settings. Methods In a longitudinal cohort study, patients with relapsing MS starting BCDT (ocrelizumab/rituximab, n = 269) after enrolment into the Swiss MS Cohort (SMSC) were evaluated for treatment discontinuation, occurrence of relapses, and disability worsening in comparison with platform (n = 57) and oral (n = 454) DMT, or natalizumab (n = 73) using Cox regression with double robust adjustment for baseline covariates. Results Patients starting BCDT were less likely to discontinue treatment than all other DMT combined (HR = 0.26, 95% CI = 0.18-0.36, p < .01), oral DMT (HR = 0.28, 95% CI = 0.20-0.39, p < .01) and natalizumab (HR = 0.35, 95% CI = 0.21-0.58, p < .01). BCDT were associated with lower risk of relapses as compared to oral DMT HR = 0.59, 95% CI = 0.39-0.88, p < .01), but not to natalizumab (HR = 0.90, 95% CI = 0.45-1.82, p = .778). Disability worsening was not significantly different between treatment groups. Conclusion We provide real-world evidence for patients being more persistent to BCDT than to other treatments, and better clinical outcomes may partly explain this.
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Affiliation(s)
- Giulio Disanto
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Sabine Schaedelin
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Johanna Oechtering
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Johannes Lorscheider
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Riccardo Galbusera
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | | | - Lutz Achtnichts
- Department of Neurology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Patrice Lalive
- Department of Clinical Neurosciences, Division of Neurology, Unit of Neuroimmunology, University Hospital of Geneva and Faculty of Medicine, Geneva, Switzerland
| | - Stefanie Müller
- Department of Neurology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Caroline Pot
- Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Robert Hoepner
- Department of Neurology, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anke Salmen
- Department of Neurology, Bern University Hospital, University of Bern, Bern, Switzerland
- Dept. of Neurology, St Josef-Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Chiara Zecca
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Lars G Hemkens
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Marcus D’Souza
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Bettina Fischer-Barnicol
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Renaud Du Pasquier
- Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Patrick Roth
- Department of Neurology, University Hospital Zurich and University of Zurich, Zürich, Switzerland
| | - Özgür Yaldizli
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Maximilian Einsiedler
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Tobias Derfuss
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Claudio Gobbi
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Cristina Granziera
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Marjolaine Uginet
- Department of Clinical Neurosciences, Division of Neurology, Unit of Neuroimmunology, University Hospital of Geneva and Faculty of Medicine, Geneva, Switzerland
| | - Aleksandra Maleska Maceski
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | | | - David Leppert
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurology, Multiple Sclerosis Center, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Basel, Switzerland
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12
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De Angelis F, Nistri R, Wright S. Measuring Disease Progression in Multiple Sclerosis Clinical Drug Trials and Impact on Future Patient Care. CNS Drugs 2025; 39:55-80. [PMID: 39581949 DOI: 10.1007/s40263-024-01132-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/14/2024] [Indexed: 11/26/2024]
Abstract
Multiple sclerosis (MS) is a chronic immune-mediated disease of the central nervous system characterised by inflammation, demyelination and neurodegeneration. Although several drugs are approved for MS, their efficacy in progressive disease is modest. Addressing disease progression as a treatment goal in MS is challenging due to several factors. These include a lack of complete understanding of the pathophysiological mechanisms driving MS and the absence of sensitive markers of disease progression in the short-term of clinical trials. MS usually begins at a young age and lasts for decades, whereas clinical research often spans only 1-3 years. Additionally, there is no unifying definition of disease progression. Several drugs are currently being investigated for progressive MS. In addition to new medications, the rise of new technologies and of adaptive trial designs is enabling larger and more integrated data collection. Remote assessments and decentralised clinical trials are becoming feasible. These will allow more efficient and large studies at a lower cost and with less burden on study participants. As new drugs are developed and research evolves, we anticipate a concurrent change in patient care at various levels in the foreseeable future. We conducted a narrative review to discuss the challenges of accurately measuring disease progression in contemporary MS drug trials, some new research trends and their implications for patient care.
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Affiliation(s)
- Floriana De Angelis
- Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, University College London Queen Square Institute of Neurology, University College London, London, WC1B 5EH, UK.
- National Institute for Health and Care Research, Biomedical Research Centre, University College London Hospitals, London, UK.
- The National Hospital for Neurology and Neurosurgery, University College London Hospitals, London, UK.
| | - Riccardo Nistri
- Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, University College London Queen Square Institute of Neurology, University College London, London, WC1B 5EH, UK
| | - Sarah Wright
- Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, University College London Queen Square Institute of Neurology, University College London, London, WC1B 5EH, UK
- The National Hospital for Neurology and Neurosurgery, University College London Hospitals, London, UK
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13
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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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14
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Fadda G, Banwell B, Elliott C, Fetco D, Arnold DL, Waters P, Yeh EA, Marrie RA, Bar-Or A, Narayanan S. Slowly Expanding Lesions Differentiate Pediatric Multiple Sclerosis from Myelin Oligodendrocyte Glycoprotein Antibody Disease. Ann Neurol 2024; 96:1086-1091. [PMID: 39243229 DOI: 10.1002/ana.27066] [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: 04/26/2024] [Revised: 08/08/2024] [Accepted: 08/09/2024] [Indexed: 09/09/2024]
Abstract
Slowly expanding lesions (SELs) in adults with multiple sclerosis (MS) indicate a progressive pathological process. Whether SELs are present in pediatric-onset MS (POMS) or myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is unknown. We studied 19 children with POMS and 14 with MOGAD (median age 14.3 and 9.4 years, respectively) recruited to the Canadian Pediatric Demyelinating Disease Study with: (1) ≥3 research scans 12 months apart; and (2) ≥1 T2-lesions on the earliest scan. A total of 70 SELs from 16 POMS participants and 1 SEL in the MOGAD group were detected. SELs are an early feature of POMS and essentially not a feature of MOGAD. ANN NEUROL 2024;96:1086-1091.
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Affiliation(s)
- Giulia Fadda
- Department of Medicine, University of Ottawa, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Brenda Banwell
- Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Dumitru Fetco
- NeuroRx Research, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute-Hospital, McGill University, Montreal, QC, Canada
| | - Douglas L Arnold
- NeuroRx Research, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute-Hospital, McGill University, Montreal, QC, Canada
| | - Patrick Waters
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - E Ann Yeh
- Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - Ruth Ann Marrie
- Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Amit Bar-Or
- Center for Neuroinflammation and Neurotherapeutics, and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sridar Narayanan
- NeuroRx Research, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- McConnell Brain Imaging Center, Montreal Neurological Institute-Hospital, McGill University, Montreal, QC, Canada
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15
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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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16
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Malucchi S, Bava CI, Valentino P, Martire S, Lo Re M, Bertolotto A, Di Sapio A. In multiple sclerosis patients a single serum neurofilament light chain (sNFL) dosage is strongly associated with 12 months outcome: data from a real-life clinical setting. J Neurol 2024; 271:7494-7501. [PMID: 39313638 DOI: 10.1007/s00415-024-12701-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 09/10/2024] [Accepted: 09/13/2024] [Indexed: 09/25/2024]
Abstract
BACKGROUND Neurofilament light chain (NFL) is a neuroaxonal cytoskeletal protein released into cerebrospinal fluid (CSF) and eventually into blood upon neuronal injury. Its detection in serum (sNFL) makes it a promising marker in multiple sclerosis (MS). OBJECTIVE To evaluate the usefulness of a single dosage of sNFL in clinical practice. METHODS 626 consecutive relapsing-remitting (RR) MS patients treated with disease modifying treatments (DMTs) for at least 12 months underwent a single sNFL dosage. 553 patients had NEDA-3 status (no relapses, no disability progression, no new/enlarging or contrast-enhancing lesions on brain magnetic resonance imaging) in the 12 months prior blood sampling. sNFL levels were measured by single molecule array (Simoa™). Association between sNFL levels and NEDA-3 status at 12, 24, and 36 months was evaluated with logistic regression models adjusted for sex, EDSS, disease duration, and type of DMTs. RESULTS 469 out of the 553 NEDA-3 patients had normal sNFL level, whereas 42 had elevated level. The two groups did not differ regarding baseline characteristics. A very strong association between elevated sNFL levels and loss of NEDA-3 status within 12 months was found, with an odds ratio [OR] of 10.74 (95% CI 4.34-26.57); 15 and 10 patients with normal and elevated sNFL, respectively lost NEDA-3 (p < 0.001). The effect was not detected during the subsequent 13-24 and 25-36 months. CONCLUSIONS A single elevated sNFL is strongly associated with NEDA-3 loss within 1 year. Elevated sNFL in apparently stable patients suggests an ongoing disease activity below the detection threshold of standard parameters.
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Affiliation(s)
- Simona Malucchi
- Department of Neurology and CRESM, University Hospital San Luigi Gonzaga, Regione Gonzole 10, 10043, Orbassano, Italy.
| | | | - Paola Valentino
- NICO-Neuroscience Institute Cavalieri Ottolenghi, Orbassano, Italy
- Department of Clinical and Biological Science, University of Turin, Turin, Italy
| | - Serena Martire
- NICO-Neuroscience Institute Cavalieri Ottolenghi, Orbassano, Italy
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Marianna Lo Re
- Department of Neurology and CRESM, University Hospital San Luigi Gonzaga, Regione Gonzole 10, 10043, Orbassano, Italy
| | - Antonio Bertolotto
- NICO-Neuroscience Institute Cavalieri Ottolenghi, Orbassano, Italy
- Koelliker Hospital, C.so Galileo Ferraris, 247/255, 10134, Turin, Italy
| | - Alessia Di Sapio
- Department of Neurology and CRESM, University Hospital San Luigi Gonzaga, Regione Gonzole 10, 10043, Orbassano, Italy
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17
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Scalfari A, Traboulsee A, Oh J, Airas L, Bittner S, Calabrese M, Garcia Dominguez JM, Granziera C, Greenberg B, Hellwig K, Illes Z, Lycke J, Popescu V, Bagnato F, Giovannoni G. Smouldering-Associated Worsening in Multiple Sclerosis: An International Consensus Statement on Definition, Biology, Clinical Implications, and Future Directions. Ann Neurol 2024; 96:826-845. [PMID: 39051525 DOI: 10.1002/ana.27034] [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: 03/04/2024] [Revised: 07/03/2024] [Accepted: 07/05/2024] [Indexed: 07/27/2024]
Abstract
Despite therapeutic suppression of relapses, multiple sclerosis (MS) patients often experience subtle deterioration, which extends beyond the definition of "progression independent of relapsing activity." We propose the concept of smouldering-associated-worsening (SAW), encompassing physical and cognitive symptoms, resulting from smouldering pathological processes, which remain unmet therapeutic targets. We provide a consensus-based framework of possible pathological substrates and manifestations of smouldering MS, and we discuss clinical, radiological, and serum/cerebrospinal fluid biomarkers for potentially monitoring SAW. Finally, we share considerations for optimizing disease surveillance and implications for clinical trials to promote the integration of smouldering MS into routine practice and future research efforts. ANN NEUROL 2024;96:826-845.
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Affiliation(s)
- Antonio Scalfari
- Center of Neuroscience, Department of Medicine, Charing Cross Hospital, Imperial College, London, UK
| | | | - Jiwon Oh
- Division of Neurology, Department of Medicine, St Michael's Hospital, University of Toronto, Toronto, Canada
| | - Laura Airas
- University of Turku and Turku University Hospital, Turku, Finland
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (Rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | | | | | - Cristina Granziera
- Translational Imaging in Neurology (THiNK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University of Basel, Basel, Switzerland
- Department of Neurology and MS Center, University Hospital Basel Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Basel, Switzerland
| | | | | | - Zsolt Illes
- Department of Neurology, Odense University Hospital, University of Southern Denmark, Odense, Denmark
| | - Jan Lycke
- Department of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Veronica Popescu
- University MS Centre Pelt-Hasselt, Noorderhart Hospital, Belgium Hasselt University, Pelt, Belgium
| | - Francesca Bagnato
- Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Neurology, VA Hospital, TN Valley Healthcare System, Nashville, TN, USA
| | - Gavin Giovannoni
- Blizard Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK
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18
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Oreja-Guevara C, Martínez-Yélamos S, Eichau S, Llaneza MÁ, Martín-Martínez J, Peña-Martínez J, Meca-Lallana V, Alonso-Torres AM, Moral-Torres E, Río J, Calles C, Ares-Luque A, Ramió-Torrentà L, Marzo-Sola ME, Prieto JM, Martínez-Ginés ML, Arroyo R, Otano-Martínez MÁ, Brieva-Ruiz L, Gómez-Gutiérrez M, Rodríguez-Antigüedad A, Galán Sánchez-Seco V, Costa-Frossard L, Hernández-Pérez MÁ, Landete-Pascual L, González-Platas M, Meca-Lallana JE. Beyond lines of treatment: embracing early high-efficacy disease-modifying treatments for multiple sclerosis management. Ther Adv Neurol Disord 2024; 17:17562864241284372. [PMID: 39483817 PMCID: PMC11526321 DOI: 10.1177/17562864241284372] [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: 04/12/2024] [Accepted: 08/07/2024] [Indexed: 11/03/2024] Open
Abstract
Recent advances in multiple sclerosis (MS) management have shifted perspectives on treatment strategies, advocating for the early initiation of high-efficacy disease-modifying therapies (heDMTs). This perspective review discusses the rationale, benefits, and challenges associated with early heDMT initiation, reflecting on the obsolescence of the traditional "first-line" and "second-line" treatment classifications. The article emerges from the last update of the consensus document of the Spanish Society of Neurology on the treatment of MS. During its development, there was a recognized need to further discuss the concept of treatment lines and the early use of heDMTs. Evidence from randomized controlled trials and real-world studies suggests that early heDMT initiation leads to improved clinical outcomes, including reduced relapse rates, slowed disease progression, and decreased radiological activity, especially in younger patients or those in early disease stages. Despite the historical belief that heDMTs involve more risks and adverse events compared to moderate-efficacy DMTs (meDMTs), some studies have reported comparable safety profiles between early heDMTs and meDMTs, though long-term safety data are still lacking. The review also addresses the need for a personalized approach based on patient characteristics, prognostic factors, and preferences, explores the importance of therapeutic inertia, and highlights the evolving landscape of international and national guidelines that increasingly advocate for early intensive treatment approaches. The article also addresses the challenges of ensuring access to these therapies and the importance of further research to establish long-term safety and effectiveness of DMTs in MS.
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Affiliation(s)
- Celia Oreja-Guevara
- Department of Neurology, Hospital Clinico San Carlos, IdISSC, C/Prof Martín Lagos, s/n, Moncloa - Aravaca, 28040, Madrid, Spain
- Department of Medicine, Medicine Faculty, Universidad Complutense de Madrid, Pl. Ramón y Cajal, s/n, Moncloa - Aravaca, 28040 Madrid, Spain
| | - Sergio Martínez-Yélamos
- Multiple Sclerosis Unit “EMxarxa,” Neurology Department, H.U. de Bellvitge, IDIBELL, Departament de Ciències Clíniques, Universitat de Barcelona, Barcelona, Spain
| | - Sara Eichau
- Neurology Department, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Miguel Ángel Llaneza
- Neurology Department, Hospital Universitario Central de Asturias, Asturias, Spain
| | | | | | | | - Ana María Alonso-Torres
- Multiple Sclerosis Unit, Neurology Department, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Ester Moral-Torres
- Neurology Department, Complejo Hospitalario y Universitario Moisès Broggi, Barcelona, Spain
| | - Jordi Río
- Neurology Department, Centre d’Esclerosi Múltiple de Catalunya, Hospital Universitario Vall d’Hebrón, Barcelona, Spain
| | - Carmen Calles
- Neurology Department, Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Adrián Ares-Luque
- Neurology Department, Complejo Asistencial Universitario de León, León, Spain
| | - Lluís Ramió-Torrentà
- Unitat de Neuroimmunologia i Esclerosi Múltiple Territorial de Girona, Hospital Universitari Dr. Josep Trueta y Hospital Santa Caterina, Grup Neurodegeneració i Neuroinflamació, IDIBGI, Departamento de Ciencias Médicas, Universitat de Girona, Girona, Spain
| | | | - José María Prieto
- Neurology Department, Santiago de Compostela Institute of Health Research, Spain Santiago de Compostela, Santiago, Spain
| | | | - Rafael Arroyo
- Neurology Department, Hospital Universitario Quirónsalud Madrid, Madrid, Spain
| | | | - Luis Brieva-Ruiz
- Hospital Universitario Arnau de Vilanova, Universitat de Lleida, Lleida, Spain
| | | | | | | | | | - Miguel Ángel Hernández-Pérez
- Multiple Sclerosis Unit, Neurology Department, Hospital Universitario Nuestra Señora de Candelaria, Santa Cruz de Tenerife, Spain
| | | | | | - José E. Meca-Lallana
- Clinical Neuroimmunology Unit and CSUR Multiple Sclerosis, Neurology Department, Hospital Clínico Universitario Virgen de la Arrixaca (IMIB-Arrixaca)/Cátedra de Neuroinmunología Clínica y Esclerosis Múltiple, Universidad Católica San Antonio, Murcia, Spain
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19
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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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20
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Ravano V, Andelova M, Piredda GF, Sommer S, Caneschi S, Roccaro L, Krasensky J, Kudrna M, Uher T, Corredor-Jerez RA, Disselhorst JA, Maréchal B, Hilbert T, Thiran JP, Richiardi J, Horakova D, Vaneckova M, Kober T. Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis. J Neurol 2024; 271:5944-5957. [PMID: 39003428 PMCID: PMC11377637 DOI: 10.1007/s00415-024-12568-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 07/01/2024] [Accepted: 07/05/2024] [Indexed: 07/15/2024]
Abstract
BACKGROUND AND OBJECTIVES In multiple sclerosis (MS), slowly expanding lesions were shown to be associated with worse disability and prognosis. Their timely detection from cross-sectional data at early disease stages could be clinically relevant to inform treatment planning. Here, we propose to use multiparametric, quantitative MRI to allow a better cross-sectional characterization of lesions with different longitudinal phenotypes. METHODS We analysed T1 and T2 relaxometry maps from a longitudinal cohort of MS patients. Lesions were classified as enlarging, shrinking, new or stable based on their longitudinal volumetric change using a newly developed automated technique. Voxelwise deviations were computed as z-scores by comparing individual patient data to T1, T2 and T2/T1 normative values from healthy subjects. We studied the distribution of microstructural properties inside lesions and within perilesional tissue. RESULTS AND CONCLUSIONS Stable lesions exhibited the highest T1 and T2 z-scores in lesion tissue, while the lowest values were observed for new lesions. Shrinking lesions presented the highest T1 z-scores in the first perilesional ring while enlarging lesions showed the highest T2 z-scores in the same region. Finally, a classification model was trained to predict the longitudinal lesion type based on microstructural metrics and feature importance was assessed. Z-scores estimated in lesion and perilesional tissue from T1, T2 and T2/T1 quantitative maps carry discriminative and complementary information to classify longitudinal lesion phenotypes, hence suggesting that multiparametric MRI approaches are essential for a better understanding of the pathophysiological mechanisms underlying disease activity in MS lesions.
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Affiliation(s)
- Veronica Ravano
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland.
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
- LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
| | - Michaela Andelova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University, Prague, Czech Republic
| | - Gian Franco Piredda
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland
| | - Stefan Sommer
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland
- Swiss Center for Muscoloskeletal Imaging (SCMI) Balgrist Campus, Zurich, Switzerland
| | - Samuele Caneschi
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Lucia Roccaro
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Jan Krasensky
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Matej Kudrna
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University, Prague, Czech Republic
| | - Ricardo A Corredor-Jerez
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Jonathan A Disselhorst
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Tom Hilbert
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | | | - Jonas Richiardi
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University, Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Geneva and Zurich, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
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21
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Rocca MA, Preziosa P, Barkhof F, Brownlee W, Calabrese M, De Stefano N, Granziera C, Ropele S, Toosy AT, Vidal-Jordana À, Di Filippo M, Filippi M. Current and future role of MRI in the diagnosis and prognosis of multiple sclerosis. THE LANCET REGIONAL HEALTH. EUROPE 2024; 44:100978. [PMID: 39444702 PMCID: PMC11496980 DOI: 10.1016/j.lanepe.2024.100978] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 04/22/2024] [Accepted: 06/10/2024] [Indexed: 10/25/2024]
Abstract
In the majority of cases, multiple sclerosis (MS) is characterized by reversible episodes of neurological dysfunction, often followed by irreversible clinical disability. Accurate diagnostic criteria and prognostic markers are critical to enable early diagnosis and correctly identify patients with MS at increased risk of disease progression. The 2017 McDonald diagnostic criteria, which include magnetic resonance imaging (MRI) as a fundamental paraclinical tool, show high sensitivity and accuracy for the diagnosis of MS allowing early diagnosis and treatment. However, their inappropriate application, especially in the context of atypical clinical presentations, may increase the risk of misdiagnosis. To further improve the diagnostic process, novel imaging markers are emerging, but rigorous validation and standardization is still needed before they can be incorporated into clinical practice. This Series article discusses the current role of MRI in the diagnosis and prognosis of MS, while examining promising MRI markers, which could serve as reliable predictors of subsequent disease progression, helping to optimize the management of individual patients with MS. We also explore the potential of new technologies, such as artificial intelligence and automated quantification tools, to support clinicians in the management of patients. Yet, to ensure consistency and improvement in the use of MRI in MS diagnosis and patient follow-up, it is essential that standardized brain and spinal cord MRI protocols are applied, and that interpretation of results is performed by qualified (neuro)radiologists in all countries.
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Affiliation(s)
- Maria A. Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Wallace Brownlee
- Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Massimiliano Calabrese
- The Multiple Sclerosis Center of University Hospital of Verona, Department of Neurosciences and Biomedicine and Movement, Verona, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Cristina Granziera
- Department of Neurology, University Hospital Basel and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Ahmed T. Toosy
- Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Àngela Vidal-Jordana
- Servicio de Neurología, Centro de Esclerosis Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Massimiliano Di Filippo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
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22
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Benoit RY, Zagrodnik JL, Carew SJ, Moore CS. Bruton Tyrosine Kinase Inhibition Decreases Inflammation and Differentially Impacts Phagocytosis and Cellular Metabolism in Mouse- and Human-derived Myeloid Cells. Immunohorizons 2024; 8:652-667. [PMID: 39259208 PMCID: PMC11447691 DOI: 10.4049/immunohorizons.2400045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 08/13/2024] [Indexed: 09/12/2024] Open
Abstract
Bruton tyrosine kinase (BTK) is a kinase expressed by various immune cells and is often activated under proinflammatory states. Although the majority of BTK-related research has historically focused on B cells, understanding the role of BTK in non-B cell populations is critical given myeloid cells also express BTK at comparable levels. In this study, we investigated and compared how BTK inhibition in human and murine myeloid cells alters cell phenotype and function. All experiments were performed using two BTK inhibitors (evobrutinib and tolebrutinib) that are currently in late-stage clinical trials for the treatment of multiple sclerosis. Assays were performed to assess the impact of BTK inhibition on cytokine and microRNA expression, phagocytic capacity, and cellular metabolism. In all cells, both evobrutinib and tolebrutinib significantly decreased phosphorylated BTK and LPS-induced cytokine release. BTK inhibition also significantly decreased the oxygen consumption rate and extracellular acidification rate in myeloid cells, and significantly decreased phagocytosis in murine-derived cells, but not human macrophages. To further elucidate the mechanism, we also investigated the expression of microRNAs known to impact the function of myeloid cells. BTK inhibition resulted in an altered microRNA expression profile (i.e., decreased miR-155-5p and increased miR-223-3p), which is consistent with a decreased proinflammatory myeloid cell phenotype. In summary, these results provide further insights into the mechanism of action of BTK inhibitors in the context of immune-related diseases, while also highlighting important species-specific and cell-specific differences that should be considered when interpreting and comparing results between preclinical and human studies.
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Affiliation(s)
- Rochelle Y. Benoit
- Division of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada
| | - Jennifer L. Zagrodnik
- Division of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada
| | - Samantha J. Carew
- Division of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada
| | - Craig S. Moore
- Division of Biomedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada
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23
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Praet J, Anderhalten L, Comi G, Horakova D, Ziemssen T, Vermersch P, Lukas C, van Leemput K, Steppe M, Aguilera C, Kadas EM, Bertrand A, van Rampelbergh J, de Boer E, Zingler V, Smeets D, Ribbens A, Paul F. A future of AI-driven personalized care for people with multiple sclerosis. Front Immunol 2024; 15:1446748. [PMID: 39224590 PMCID: PMC11366570 DOI: 10.3389/fimmu.2024.1446748] [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: 06/10/2024] [Accepted: 07/11/2024] [Indexed: 09/04/2024] Open
Abstract
Multiple sclerosis (MS) is a devastating immune-mediated disorder of the central nervous system resulting in progressive disability accumulation. As there is no cure available yet for MS, the primary therapeutic objective is to reduce relapses and to slow down disability progression as early as possible during the disease to maintain and/or improve health-related quality of life. However, optimizing treatment for people with MS (pwMS) is complex and challenging due to the many factors involved and in particular, the high degree of clinical and sub-clinical heterogeneity in disease progression among pwMS. In this paper, we discuss these many different challenges complicating treatment optimization for pwMS as well as how a shift towards a more pro-active, data-driven and personalized medicine approach could potentially improve patient outcomes for pwMS. We describe how the 'Clinical Impact through AI-assisted MS Care' (CLAIMS) project serves as a recent example of how to realize such a shift towards personalized treatment optimization for pwMS through the development of a platform that offers a holistic view of all relevant patient data and biomarkers, and then using this data to enable AI-supported prognostic modelling.
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Affiliation(s)
| | - Lina Anderhalten
- Experimental and Clinical Research Center (ECRC), A Cooperation Between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Giancarlo Comi
- Department of Neurorehabilitative Sciences, Casa di Cura Igea, Italy
- Department of Neurology, Vita-Salute San Raffaele University-Ospedale San Raffaele, Milan, Italy
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, University Clinic Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Patrick Vermersch
- Univ. Lille, InsermU1172 LilNCog, CHU Lille, FHU Precise, Lille, France
| | - Carsten Lukas
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Koen van Leemput
- Athinoula A. Martinos Center, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
- Department of Computer Science, Aalto University, Espoo, Finland
| | | | | | | | | | | | - Erik de Boer
- Bristol-Myers Squibb Company Corp, Princeton, NJ, United States
| | - Vera Zingler
- F. Hoffmann-La Roche Ltd., Product Development Medical Affairs, Neuroscience, Basel, Switzerland
| | | | | | - Friedemann Paul
- Experimental and Clinical Research Center (ECRC), A Cooperation Between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité - Universitätsmedizin Berlin, Berlin, Germany
- Experimental and Clinical Research Center (ECRC), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Neuroscience Clinical Research Center (NCRC), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Neurology with Experimental Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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24
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Cagol A, Tsagkas C, Granziera C. Advanced Brain Imaging in Central Nervous System Demyelinating Diseases. Neuroimaging Clin N Am 2024; 34:335-357. [PMID: 38942520 DOI: 10.1016/j.nic.2024.03.003] [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: 06/30/2024]
Abstract
In recent decades, advances in neuroimaging have profoundly transformed our comprehension of central nervous system demyelinating diseases. Remarkable technological progress has enabled the integration of cutting-edge acquisition and postprocessing techniques, proving instrumental in characterizing subtle focal changes, diffuse microstructural alterations, and macroscopic pathologic processes. This review delves into state-of-the-art modalities applied to multiple sclerosis, neuromyelitis optica spectrum disorders, and myelin oligodendrocyte glycoprotein antibody-associated disease. Furthermore, it explores how this dynamic landscape holds significant promise for the development of effective and personalized clinical management strategies, encompassing support for differential diagnosis, prognosis, monitoring treatment response, and patient stratification.
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Affiliation(s)
- Alessandro Cagol
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Hegenheimermattweg 167b, 4123 Allschwil, Switzerland; Department of Neurology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, 4031 Basel, Switzerland; Department of Health Sciences, University of Genova, Via A. Pastore, 1 16132 Genova, Italy. https://twitter.com/CagolAlessandr0
| | - Charidimos Tsagkas
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Hegenheimermattweg 167b, 4123 Allschwil, Switzerland; Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), 10 Center Drive, Bethesda, MD 20892, USA
| | - Cristina Granziera
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel, Hegenheimermattweg 167b, 4123 Allschwil, Switzerland; Department of Neurology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Spitalstrasse 2, 4031 Basel, Switzerland.
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25
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Mahmoudi N, Wattjes MP. Treatment Monitoring in Multiple Sclerosis - Efficacy and Safety. Neuroimaging Clin N Am 2024; 34:439-452. [PMID: 38942526 DOI: 10.1016/j.nic.2024.03.009] [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: 06/30/2024]
Abstract
Magnetic resonance imaging is the most sensitive method for detecting inflammatory activity in multiple sclerosis, particularly in the brain where it reveals subclinical inflammation. Established MRI markers include contrast-enhancing lesions and active T2 lesions. Recent promising markers like slowly expanding lesions and phase rim lesions are being explored for monitoring chronic inflammation, but require further validation for clinical use. Volumetric and quantitative MRI techniques are currently limited to clinical trials and are not yet recommended for routine clinical use. Additionally, MRI is crucial for detecting complications from disease-modifying treatments and for implementing MRI-based pharmacovigilance strategies, such as in patients treated with natalizumab.
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Affiliation(s)
- Nima Mahmoudi
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - Mike P Wattjes
- Department of Neuroradiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
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26
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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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Ciccarelli O, Barkhof F, Calabrese M, De Stefano N, Eshaghi A, Filippi M, Gasperini C, Granziera C, Kappos L, Rocca MA, Rovira À, Sastre-Garriga J, Sormani MP, Tur C, Toosy AT. Using the Progression Independent of Relapse Activity Framework to Unveil the Pathobiological Foundations of Multiple Sclerosis. Neurology 2024; 103:e209444. [PMID: 38889384 PMCID: PMC11226318 DOI: 10.1212/wnl.0000000000209444] [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: 01/08/2024] [Accepted: 03/04/2024] [Indexed: 06/20/2024] Open
Abstract
Progression independent of relapse activity (PIRA), a recent concept to formalize disability accrual in multiple sclerosis (MS) independent of relapses, has gained popularity as a potential clinical trial outcome. We discuss its shortcomings and appraise the challenges of implementing it in clinical settings, experimental trials, and research. The current definition of PIRA assumes that acute inflammation, which can manifest as a relapse, and neurodegeneration, manifesting as progressive disability accrual, can be disentangled by introducing specific time windows between the onset of relapses and the observed increase in disability. The term PIRMA (progression independent of relapse and MRI activity) was recently introduced to indicate disability accrual in the absence of both clinical relapses and new brain and spinal cord MRI lesions. Assessing PIRMA in clinical practice is highly challenging because it necessitates frequent clinical assessments and brain and spinal cord MRI scans. PIRA is commonly assessed using Expanded Disability Status Scale, a scale heavily weighted toward motor disability, whereas a more granular assessment of disability deterioration, including cognitive decline, using composite measures or other tools, such as digital tools, would possess greater utility. Similarly, using PIRA as an outcome measure in randomized clinical trials is also challenging and requires methodological considerations. The underpinning pathobiology of disability accumulation, that is not associated with relapses, may encompass chronic active lesions (slowly expanding lesions and paramagnetic rim lesions), cortical lesions, brain and spinal cord atrophy, particularly in the gray matter, diffuse and focal microglial activation, persistent leptomeningeal enhancement, and white matter tract damage. We propose to use PIRA to understand the main determinant of disability accrual in observational, cohort studies, where regular MRI scans are not included, and introduce the term of "advanced-PIRMA" to investigate the contributions to disability accrual of the abovementioned processes, using conventional and advanced imaging. This is supported by the knowledge that MRI reflects the MS pathogenic mechanisms better than purely clinical descriptors. Any residual disability accrual, which remains unexplained after considering all these mechanisms with imaging, will highlight future research priorities to help complete our understanding of MS pathogenesis.
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Affiliation(s)
- Olga Ciccarelli
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Frederik Barkhof
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Massimiliano Calabrese
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Nicola De Stefano
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Arman Eshaghi
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Massimo Filippi
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Claudio Gasperini
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Cristina Granziera
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Ludwig Kappos
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Maria A Rocca
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Àlex Rovira
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Jaume Sastre-Garriga
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Maria Pia Sormani
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Carmen Tur
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
| | - Ahmed T Toosy
- From the Queen Square MS Centre (O.C., F.B., A.E., A.T.T.), Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; National Institute for Health and Care Research (NIHR) (O.C.), University College London Hospitals (UCLH) Biomedical Research Centre; Centre for Medical Image Computing (F.B.), University College London, United Kingdom; Department of Radiology and Nuclear Medicine (F.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands; Department of Neurosciences, Biomedicine and Movement Sciences (M.C.), University of Verona; Department of Medicine, Surgery and Neuroscience (N.D.S.), University of Siena; Neuroimaging Research Unit (M.F., M.A.R.), Division of Neuroscience, and Neurology Unit (M.F., M.A.R.), Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (M.F., M.A.R.), Milan; Department of Neuroscience (C. Gasperini), San Camillo Hospital, Rome, Italy; Translational Imaging in Neurology (ThINK) Basel (C. Granziera, L.K.), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (C. Granziera, L.K.); University Hospital Basel and University of Basel (C. Granziera, L.K.), Switzerland; Section of Neuroradiology (À.R.), Department of Radiology, and Multiple Sclerosis Centre of Catalonia (J.S.-G., C.T.), Department of Neurology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; Department of Health Sciences (M.P.S.), University of Genova; and IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy
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Keegan BM, Messina SA, Hanson D, Holmes D, Camp J, Sechi E, Nayak S, Barakat B, Ahmad R, Mandrekar J, Harmsen WS, Kantarci O, Weinshenker BG, Flanagan EP. MR Imaging Features of Critical Spinal Demyelinating Lesions Associated with Progressive Motor Impairment. AJNR Am J Neuroradiol 2024; 45:943-950. [PMID: 38754997 PMCID: PMC11286007 DOI: 10.3174/ajnr.a8304] [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: 12/19/2023] [Accepted: 02/19/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND AND PURPOSE Progressive MS is typically heralded by a myelopathic pattern of asymmetric progressive motor weakness. Focal individual "critical" demyelinating spinal cord lesions anatomically associated with progressive motor impairment may be a compelling explanation for this clinical presentation as described in progressive solitary sclerosis (single CNS demyelinating lesion), progressive demyelination with highly restricted MR imaging lesion burden (2-5 total CNS demyelinating lesions; progressive paucisclerotic MS), and progressive, exclusively unilateral hemi- or monoparetic MS (>5 CNS demyelinating progressive unilateral hemi- or monoparetic MS [PUHMS] lesions). Critical demyelinating lesions appear strikingly similar across these cohorts, and we describe their specific spinal cord MR imaging characteristics. MATERIALS AND METHODS We performed a retrospective, observational MR imaging study comparing spinal cord critical demyelinating lesions anatomically associated with progressive motor impairment with any additional "noncritical" (not anatomically associated with progressive motor impairment) spinal cord demyelinating lesions. All spinal cord MR images (302 cervical and 91 thoracic) were reviewed by an experienced neuroradiologist with final radiologic assessment on the most recent MR imaging. Anatomic association with clinical progressive motor impairment was confirmed independently by MS subspecialists. RESULTS Ninety-one individuals (PUHMS, 37 [41%], progressive paucisclerosis 35 [38%], progressive solitary sclerosis 19 [21%]) with 91 critical and 98 noncritical spinal cord MR imaging demyelinating lesions were evaluated. MR imaging characteristics that favored critical spinal cord demyelinating lesions over noncritical lesions included moderate-to-severe, focal, lesion-associated spinal cord atrophy: 41/91 (45%) versus 0/98 (0%) (OR, 161.91; 9.43 to >999.9); lateral column axial location (OR, 10.43; 3.88-28.07); central region (OR, 3.23; 1.78-5.88); ventral column (OR, 2.98; 1.55-5.72); and larger lesion size of the axial width (OR, 2.01;1.49-2.72), transverse axial size (OR, 1.66; 1.36-2.01), or lesion area (OR, 1.14; 1.08-1.2). Multiple regression analysis revealed focal atrophy and lateral axial location as having the strongest association with critical demyelinating lesions. CONCLUSIONS Focal, lesion-associated atrophy, lateral column axial location, and larger lesion size are spinal cord MR imaging characteristics of critical demyelinating lesions. The presence of critical demyelinating lesions should be sought as these features may be associated with the development of progressive motor impairment in MS.
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Affiliation(s)
- B Mark Keegan
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
| | - Steven A Messina
- Department of Radiology (S.A.M.), Mayo Clinic, Rochester, Minnesota
| | - Dennis Hanson
- Biomedical Imaging Resource (D. Hanson, D. Holmes, J.C.), Mayo Clinic, Rochester, Minnesota
| | - David Holmes
- Biomedical Imaging Resource (D. Hanson, D. Holmes, J.C.), Mayo Clinic, Rochester, Minnesota
| | - Jon Camp
- Biomedical Imaging Resource (D. Hanson, D. Holmes, J.C.), Mayo Clinic, Rochester, Minnesota
| | - Elia Sechi
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- Università degli Studi di Sassari (E.S.), Sassari, Italy
| | - Shreya Nayak
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- St. Elizabeth Dearborn Hospital (S.N.), Lawrenceburg, Indiana
| | - Benan Barakat
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- Mercy St. Vincent Medical Center (B.B.), Toledo, Ohio
| | - Rowaid Ahmad
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- University of Texas Medical Branch (R.A.), Galveston, Texas
| | - Jay Mandrekar
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- Quantitative Health Services (J.M., W.S.H,), Mayo Clinic, Rochester, Minnesota
| | - W Scott Harmsen
- Quantitative Health Services (J.M., W.S.H,), Mayo Clinic, Rochester, Minnesota
| | - Orhun Kantarci
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
| | - Brian G Weinshenker
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
- Department of Neurology (B.G.W.), University of Virginia Health, Charlottesville, Virginia
| | - Eoin P Flanagan
- From the Department of Neurology (B.M.K., E.S., S.N., B.B., R.A., J.M., O.K., B.G.W., E.P.F.), Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, Minnesota
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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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Klistorner S, Barnett MH, Parratt J, Yiannikas C, Klistorner A. Quantifying chronic lesion expansion in multiple sclerosis: Exploring imaging markers for longitudinal assessment. Mult Scler Relat Disord 2024; 87:105688. [PMID: 38824793 DOI: 10.1016/j.msard.2024.105688] [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: 08/20/2023] [Revised: 04/26/2024] [Accepted: 05/15/2024] [Indexed: 06/04/2024]
Abstract
OBJECTIVES Gradual expansion of multiple sclerosis lesions over time is known to have a significant impact on disease progression. However, accurately quantifying the volume changes in chronic lesions presents challenges due to their slow rate of progression and the need for longitudinal segmentation. Our study addresses this by estimating the expansion of chronic lesions using data collected over a 1-2 year period and exploring imaging markers that do not require longitudinal lesion segmentation. METHODS Pre- and post-gadolinium 3D-T1, 3D FLAIR and diffusion tensor images were acquired from 42 patients with MS. Lesion expansion, stratified by the severity of tissue damage as measured by mean diffusivity change, was analysed between baseline and 48 months (Progressive Volume/Severity Index, PVSI). Central brain atrophy (CBA) and the degree of tissue loss inside chronic lesions (measured by the change of T1 intensity and mean diffusivity (MD)) were used as surrogate markers. RESULTS CBA measured after 2 years of follow-up estimated lesion expansion at 4 years with a high degree of accuracy (r = 0.82, p < 0.001, ROC area under the curve 0.92, sensitivity of 94 %, specificity of 85 %). Increased MD within chronic lesions measured over 2 years was strongly associated with future expansion (r = 0.77, p < 0.001, ROC area under the curve 0.87, sensitivity of 81 % and specificity of 81 %). In contrast, change in lesion T1 hypointensity poorly explained future PVSI (best sensitivity and specificity 60 % and 59 % respectively). INTERPRETATION CBA and, to a lesser extent, the change in MD within chronic MS lesions, measured over a period of 2 years, can provide a reliable and sensitive estimate of the extent and severity of chronic lesion expansion.
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Affiliation(s)
- Samuel Klistorner
- Save Sight Institute, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Michael H Barnett
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia; Sydney Neuroimaging Analysis Centre, Camperdown, New South Wales, Australia
| | - John Parratt
- Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Con Yiannikas
- Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Alexander Klistorner
- Save Sight Institute, Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.
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Spiezia AL, Scalia G, Petracca M, Caliendo D, Moccia M, Fiore A, Cerbone V, Lanzillo R, Brescia Morra V, Carotenuto A. Effect of siponimod on lymphocyte subsets in active secondary progressive multiple sclerosis and clinical implications. J Neurol 2024; 271:4281-4291. [PMID: 38632126 PMCID: PMC11233419 DOI: 10.1007/s00415-024-12362-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/27/2024] [Accepted: 03/28/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Circulating immune cells play a pathogenic role in multiple sclerosis (MS). However, the role of specific lymphocyte subpopulations is not unveiled yet, especially in progressive stages. We aimed to investigate lymphocyte changes during siponimod treatment in active secondary progressive MS (aSPMS) and their associations with clinical outcomes. METHODS We enrolled 46 aSPMS patients starting on siponimod treatment with at least 6 months of follow-up and two visits within the scheduled timeframes and 14 sex- and age-matched healthy controls (HCs). Clinical and laboratory data were collected retrospectively at baseline, 3rd, 6th, 12th, and 24th month for MS patients, and at baseline for HCs. RESULTS At baseline SPMS patients presented with increased naïve regulatory T lymphocytes (p = 0.02) vs. HCs. Over time, SPMS patients showed decreased T CD4+ (coeff. range = -24/-17, 95% CI range = -31.60 to -10.40), B lymphocyte (coeff. range = -3.77/-2.54, 95% CI range = -6.02 to -0.35), memory regulatory B cells (coeff. range = -0.78/-0.57, 95% CI range = -1.24 to -0.17) and CD4/CD8 ratio (coeff. range = -4.44/-0.67, 95% CI range = -1.61 to -0.17) from month 3 thereafter vs. baseline, and reduced CD3+CD20+ lymphocytes from month 12 thereafter (coeff. range = -0.32/-0.24, 95% CI range = -0.59 to -0.03). Patients not experiencing disability progression while on siponimod treatment showed B lymphocyte reduction from month 3 (coeff. range = -4.23/-2.32, 95% CI range = -7.53 to -0.15) and CD3+CD20+ lymphocyte reduction from month 12 (coeff. range = -0.32/-0.24, 95% CI range = -0.59 to -0.03) vs. patients experiencing progression. CONCLUSIONS Patients treated with siponimod showed a T and B lymphocyte reduction, especially CD4+, CD3+CD20+ and naïve regulatory T cells and memory regulatory B cells. Disability progression while on siponimod treatment was associated with a less pronounced effect on B and CD3+CD20+ lymphocytes.
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Affiliation(s)
- Antonio Luca Spiezia
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Via Sergio Pansini 5, 80131, Naples, Italy
| | - Giulia Scalia
- Clinical and Experimental Cytometry Unit, Centre for Advanced Biotechnology Franco Salvatore, CEINGE, Naples, Italy
| | - Maria Petracca
- Department of Human Neurosciences, Sapienza University, Rome, Italy
| | - Daniele Caliendo
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Via Sergio Pansini 5, 80131, Naples, Italy
| | - Marcello Moccia
- Department of Molecular Medicine and Medical Biotechnology, Federico II University of Naples, Naples, Italy
| | - Antonia Fiore
- Clinical and Experimental Cytometry Unit, Centre for Advanced Biotechnology Franco Salvatore, CEINGE, Naples, Italy
| | - Vincenza Cerbone
- Clinical and Experimental Cytometry Unit, Centre for Advanced Biotechnology Franco Salvatore, CEINGE, Naples, Italy
| | - Roberta Lanzillo
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Via Sergio Pansini 5, 80131, Naples, Italy
| | - Vincenzo Brescia Morra
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Via Sergio Pansini 5, 80131, Naples, Italy
| | - Antonio Carotenuto
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University of Naples, Via Sergio Pansini 5, 80131, Naples, Italy.
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Woo MS, Engler JB, Friese MA. The neuropathobiology of multiple sclerosis. Nat Rev Neurosci 2024; 25:493-513. [PMID: 38789516 DOI: 10.1038/s41583-024-00823-z] [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: 04/30/2024] [Indexed: 05/26/2024]
Abstract
Chronic low-grade inflammation and neuronal deregulation are two components of a smoldering disease activity that drives the progression of disability in people with multiple sclerosis (MS). Although several therapies exist to dampen the acute inflammation that drives MS relapses, therapeutic options to halt chronic disability progression are a major unmet clinical need. The development of such therapies is hindered by our limited understanding of the neuron-intrinsic determinants of resilience or vulnerability to inflammation. In this Review, we provide a neuron-centric overview of recent advances in deciphering neuronal response patterns that drive the pathology of MS. We describe the inflammatory CNS environment that initiates neurotoxicity by imposing ion imbalance, excitotoxicity and oxidative stress, and by direct neuro-immune interactions, which collectively lead to mitochondrial dysfunction and epigenetic dysregulation. The neuronal demise is further amplified by breakdown of neuronal transport, accumulation of cytosolic proteins and activation of cell death pathways. Continuous neuronal damage perpetuates CNS inflammation by activating surrounding glia cells and by directly exerting toxicity on neighbouring neurons. Further, we explore strategies to overcome neuronal deregulation in MS and compile a selection of neuronal actuators shown to impact neurodegeneration in preclinical studies. We conclude by discussing the therapeutic potential of targeting such neuronal actuators in MS, including some that have already been tested in interventional clinical trials.
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Affiliation(s)
- Marcel S Woo
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Broder Engler
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Manuel A Friese
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
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Nistri R, Ianniello A, Pozzilli V, Giannì C, Pozzilli C. Advanced MRI Techniques: Diagnosis and Follow-Up of Multiple Sclerosis. Diagnostics (Basel) 2024; 14:1120. [PMID: 38893646 PMCID: PMC11171945 DOI: 10.3390/diagnostics14111120] [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: 04/08/2024] [Revised: 05/08/2024] [Accepted: 05/13/2024] [Indexed: 06/21/2024] Open
Abstract
Brain and spinal cord imaging plays a pivotal role in aiding clinicians with the diagnosis and monitoring of multiple sclerosis. Nevertheless, the significance of magnetic resonance imaging in MS extends beyond its clinical utility. Advanced imaging modalities have facilitated the in vivo detection of various components of MS pathogenesis, and, in recent years, MRI biomarkers have been utilized to assess the response of patients with relapsing-remitting MS to the available treatments. Similarly, MRI indicators of neurodegeneration demonstrate potential as primary and secondary endpoints in clinical trials targeting progressive phenotypes. This review aims to provide an overview of the latest advancements in brain and spinal cord neuroimaging in MS.
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Affiliation(s)
- Riccardo Nistri
- Department of Human Neuroscience, Sapienza University, 00185 Rome, Italy; (A.I.); (C.G.); (C.P.)
| | - Antonio Ianniello
- Department of Human Neuroscience, Sapienza University, 00185 Rome, Italy; (A.I.); (C.G.); (C.P.)
| | - Valeria Pozzilli
- Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Rome, Italy
- Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Costanza Giannì
- Department of Human Neuroscience, Sapienza University, 00185 Rome, Italy; (A.I.); (C.G.); (C.P.)
- IRCCS Neuromed, 86077 Pozzilli, Italy
| | - Carlo Pozzilli
- Department of Human Neuroscience, Sapienza University, 00185 Rome, Italy; (A.I.); (C.G.); (C.P.)
- MS Center Sant’Andrea Hospital, 00189 Rome, Italy
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Lomer NB, Asalemi KA, Saberi A, Sarlak K. Predictors of multiple sclerosis progression: A systematic review of conventional magnetic resonance imaging studies. PLoS One 2024; 19:e0300415. [PMID: 38626023 PMCID: PMC11020451 DOI: 10.1371/journal.pone.0300415] [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: 10/17/2023] [Accepted: 02/26/2024] [Indexed: 04/18/2024] Open
Abstract
INTRODUCTION Multiple Sclerosis (MS) is a chronic neurodegenerative disorder that affects the central nervous system (CNS) and results in progressive clinical disability and cognitive decline. Currently, there are no specific imaging parameters available for the prediction of longitudinal disability in MS patients. Magnetic resonance imaging (MRI) has linked imaging anomalies to clinical and cognitive deficits in MS. In this study, we aimed to evaluate the effectiveness of MRI in predicting disability, clinical progression, and cognitive decline in MS. METHODS In this study, according to PRISMA guidelines, we comprehensively searched the Web of Science, PubMed, and Embase databases to identify pertinent articles that employed conventional MRI in the context of Relapsing-Remitting and progressive forms of MS. Following a rigorous screening process, studies that met the predefined inclusion criteria were selected for data extraction and evaluated for potential sources of bias. RESULTS A total of 3028 records were retrieved from database searching. After a rigorous screening, 53 records met the criteria and were included in this study. Lesions and alterations in CNS structures like white matter, gray matter, corpus callosum, thalamus, and spinal cord, may be used to anticipate disability progression. Several prognostic factors associated with the progression of MS, including presence of cortical lesions, changes in gray matter volume, whole brain atrophy, the corpus callosum index, alterations in thalamic volume, and lesions or alterations in cross-sectional area of the spinal cord. For cognitive impairment in MS patients, reliable predictors include cortical gray matter volume, brain atrophy, lesion characteristics (T2-lesion load, temporal, frontal, and cerebellar lesions), white matter lesion volume, thalamic volume, and corpus callosum density. CONCLUSION This study indicates that MRI can be used to predict the cognitive decline, disability progression, and disease progression in MS patients over time.
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Affiliation(s)
| | | | - Alia Saberi
- Department of Neurology, Poursina Hospital, Faculty of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Kasra Sarlak
- Faculty of Medicine, Guilan University of Medical Sciences, Rasht, Iran
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Ontaneda D, Chitnis T, Rammohan K, Obeidat AZ. Identification and management of subclinical disease activity in early multiple sclerosis: a review. J Neurol 2024; 271:1497-1514. [PMID: 37864717 PMCID: PMC10972995 DOI: 10.1007/s00415-023-12021-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/23/2023]
Abstract
IMPORTANCE Early treatment initiation in multiple sclerosis (MS) is crucial in preventing irreversible neurological damage and disability progression. The current assessment of disease activity relies on relapse rates and magnetic resonance imaging (MRI) lesion activity, but inclusion of other early, often "hidden," indicators of disease activity may describe a more comprehensive picture of MS. OBSERVATIONS Early indicators of MS disease activity other than relapses and MRI activity, such as cognitive impairment, brain atrophy, and fatigue, are not typically captured by routine disease monitoring. Furthermore, silent progression (neurological decline not clearly captured by standard methods) may occur undetected by relapse and MRI lesion activity monitoring. Consequently, patients considered to have no disease activity actually may have worsening disease, suggesting a need to revise MS management strategies with respect to timely initiation and escalation of disease-modifying therapy (DMT). Traditionally, first-line MS treatment starts with low- or moderate-efficacy therapies, before escalating to high-efficacy therapies (HETs) after evidence of breakthrough disease activity. However, multiple observational studies have shown that early initiation of HETs can prevent or reduce disability progression. Ongoing randomized clinical trials are comparing escalation and early HET approaches. CONCLUSIONS AND RELEVANCE There is an urgent need to reassess how MS disease activity and worsening are measured. A greater awareness of "hidden" indicators, potentially combined with biomarkers to reveal silent disease activity and neurodegeneration underlying MS, would provide a more complete picture of MS and allow for timely therapeutic intervention with HET or switching DMTs to address suboptimal treatment responses.
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Affiliation(s)
- Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Department of Neurology, Cleveland Clinic, Cleveland, OH, USA.
| | - Tanuja Chitnis
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kottil Rammohan
- Division of Multiple Sclerosis, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Ahmed Z Obeidat
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
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Peruzzotti-Jametti L, Willis CM, Krzak G, Hamel R, Pirvan L, Ionescu RB, Reisz JA, Prag HA, Garcia-Segura ME, Wu V, Xiang Y, Barlas B, Casey AM, van den Bosch AMR, Nicaise AM, Roth L, Bates GR, Huang H, Prasad P, Vincent AE, Frezza C, Viscomi C, Balmus G, Takats Z, Marioni JC, D'Alessandro A, Murphy MP, Mohorianu I, Pluchino S. Mitochondrial complex I activity in microglia sustains neuroinflammation. Nature 2024; 628:195-203. [PMID: 38480879 PMCID: PMC10990929 DOI: 10.1038/s41586-024-07167-9] [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: 10/03/2022] [Accepted: 02/06/2024] [Indexed: 03/17/2024]
Abstract
Sustained smouldering, or low-grade activation, of myeloid cells is a common hallmark of several chronic neurological diseases, including multiple sclerosis1. Distinct metabolic and mitochondrial features guide the activation and the diverse functional states of myeloid cells2. However, how these metabolic features act to perpetuate inflammation of the central nervous system is unclear. Here, using a multiomics approach, we identify a molecular signature that sustains the activation of microglia through mitochondrial complex I activity driving reverse electron transport and the production of reactive oxygen species. Mechanistically, blocking complex I in pro-inflammatory microglia protects the central nervous system against neurotoxic damage and improves functional outcomes in an animal disease model in vivo. Complex I activity in microglia is a potential therapeutic target to foster neuroprotection in chronic inflammatory disorders of the central nervous system3.
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Affiliation(s)
- L Peruzzotti-Jametti
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK.
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
| | - C M Willis
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - G Krzak
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - R Hamel
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - L Pirvan
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - R-B Ionescu
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - J A Reisz
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, USA
| | - H A Prag
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - M E Garcia-Segura
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - V Wu
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Y Xiang
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - B Barlas
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
- UK Dementia Research Institute, University of Cambridge, Cambridge, UK
| | - A M Casey
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - A M R van den Bosch
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - A M Nicaise
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - L Roth
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - G R Bates
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - H Huang
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - P Prasad
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - A E Vincent
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - C Frezza
- University Hospital Cologne, Cologne, Germany
| | | | - G Balmus
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK
- UK Dementia Research Institute, University of Cambridge, Cambridge, UK
- Department of Molecular Neuroscience, Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
| | - Z Takats
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - J C Marioni
- European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Genome Campus, Hinxton, UK
| | - A D'Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, USA
| | - M P Murphy
- MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK
| | - I Mohorianu
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - S Pluchino
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, UK.
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Montalban X, Piasecka-Stryczynska K, Kuhle J, Benkert P, Arnold DL, Weber MS, Seitzinger A, Guehring H, Shaw J, Tomic D, Hyvert Y, Harlow DE, Dyroff M, Wolinsky JS. Efficacy and safety results after >3.5 years of treatment with the Bruton's tyrosine kinase inhibitor evobrutinib in relapsing multiple sclerosis: Long-term follow-up of a Phase II randomised clinical trial with a cerebrospinal fluid sub-study. Mult Scler 2024; 30:558-570. [PMID: 38436271 PMCID: PMC11080380 DOI: 10.1177/13524585241234783] [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: 09/08/2023] [Revised: 01/19/2024] [Accepted: 02/05/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Evobrutinib - an oral, central nervous system (CNS)-penetrant, and highly selective Bruton's tyrosine kinase inhibitor - has shown efficacy in a 48-week, double-blind, Phase II trial in patients with relapsing MS. OBJECTIVE Report results of the Phase II open-label extension (OLE; up to week 192 from randomisation) and a cerebrospinal fluid (CSF) sub-study. METHODS In the 48-week double-blind period (DBP), patients received evobrutinib 25 mg once-daily, 75 mg once-daily, 75 mg twice-daily or placebo (switched to evobrutinib 25 mg once-daily after week 24). Patients could then enter the OLE, receiving evobrutinib 75 mg once-daily (mean (± standard deviation (SD)) duration = 50.6 weeks (±6.0)) before switching to 75 mg twice-daily. RESULTS Of 164 evobrutinib-treated patients who entered the OLE, 128 (78.0%) completed ⩾192 weeks of treatment. Patients receiving DBP evobrutinib 75 mg twice-daily: annualised relapse rate at week 48 (0.11 (95% confidence interval (CI) = 0.04-0.25)) was maintained with the OLE twice-daily dose up to week 192 (0.11 (0.05-0.22)); Expanded Disability Status Scale score remained stable; serum neurofilament light chain fell to levels like a non-MS population (Z-scores); T1 gadolinium-enhancing lesion numbers remained low. No new safety signals were identified. In the OLE, evobrutinib was detected in the CSF of all sub-study patients. CONCLUSION Long-term evobrutinib treatment was well tolerated and associated with a sustained low level of disease activity. Evobrutinib was present in CSF at concentrations similar to plasma.
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Affiliation(s)
- Xavier Montalban
- Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitario Vall d’Hebron, Barcelona, Spain
| | | | - Jens Kuhle
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital Basel, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Douglas L Arnold
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada; NeuroRx, Montreal, QC, Canada
| | - Martin S Weber
- Institute of Neuropathology, Department of Neurology, University Medical Center, University of Göttingen, Göttingen, Germany; Fraunhofer-Institute for Translational Medicine and Pharmacology ITMP, Göttingen, Germany
| | | | | | - Jamie Shaw
- EMD Serono Research & Development Institute, Inc., Billerica, MA, USA, an affiliate of Merck KGaA
| | - Davorka Tomic
- Ares Trading SA, Eysins, Switzerland, an affiliate of Merck KGaA
| | | | - Danielle E Harlow
- EMD Serono Research & Development Institute, Inc., Billerica, MA, USA, an affiliate of Merck KGaA
| | - Martin Dyroff
- EMD Serono Research & Development Institute, Inc., Billerica, MA, USA, an affiliate of Merck KGaA
| | - Jerry S Wolinsky
- McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA
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Chard DT. Chronically Active Lesions as a Trial Outcome in Multiple Sclerosis: A New Perspective on an Old Foe. Neurology 2024; 102:e209246. [PMID: 38335501 DOI: 10.1212/wnl.0000000000209246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 12/23/2023] [Indexed: 02/12/2024] Open
Affiliation(s)
- Declan T Chard
- From the NMR Research Unit (D.T.C.), Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London; and National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (D.T.C.), United Kingdom
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Arnold DL, Elliott C, Martin EC, Hyvert Y, Tomic D, Montalban X. Effect of Evobrutinib on Slowly Expanding Lesion Volume in Relapsing Multiple Sclerosis: A Post Hoc Analysis of a Phase 2 Trial. Neurology 2024; 102:e208058. [PMID: 38335474 PMCID: PMC11067693 DOI: 10.1212/wnl.0000000000208058] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 10/19/2023] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Chronic active lesions (CALs) are demyelinated multiple sclerosis (MS) lesions with ongoing microglia/macrophage activity, resulting in irreversible neuronal damage and axonal loss. Evobrutinib is a highly selective, covalent, CNS-penetrant, Bruton tyrosine kinase inhibitor. This post hoc analysis evaluated the effect of evobrutinib on slowly expanding lesion (SEL) volume, an MRI marker of CALs, assessed baseline-week 48 in a phase 2, double-blind, randomized trial (NCT02975349) in relapsing MS (RMS). METHODS In the 48-week, double-blind trial, adult patients received evobrutinib (25 mg once daily [QD], 75 mg QD, or 75 mg twice daily [BID]), placebo (switched to evobrutinib 25 mg QD after week 24), or open-label dimethyl fumarate (DMF) 240 mg BID. SELs were defined as slowly and consistently radially expanding areas of preexisting T2 lesions of ≥10 contiguous voxels (∼30 mm3) over time. SELs were identified by MRI and assessed by the Jacobian determinant of the nonlinear deformation from baseline to week 48. SEL volume analysis, stratified by baseline T2 lesion volume tertiles, was based on week 48/end-of-treatment status (completers/non-completers). Treatment effect was analyzed using the stratified Hodges-Lehmann estimate of shift in distribution and stratified Wilcoxon rank-sum test. Comparisons of evobrutinib and DMF vs placebo/evobrutinib 25 mg QD were made. Subgroup analyses used pooled treatment groups (evobrutinib high dose [75 mg QD/BID] vs low dose [placebo/evobrutinib 25 mg QD]). RESULTS The SEL analysis set included 223 patients (mean [SD] age: 42.4 [10.7] years; 69.3% female; 87.4% relapsing/remitting MS). Mean (SD) SEL volume was 2,099 (2,981.0) mm3 with evobrutinib 75 mg BID vs 2,681 (3,624.2) mm3 with placebo/evobrutinib 25 mg QD. Median number of SELs/patient ranged from 7 to 11 across treatments. SEL volume decreased with increasing evobrutinib dose vs placebo/evobrutinib 25 mg QD, and no difference with DMF vs placebo/evobrutinib 25 mg QD was noted. SEL volume significantly decreased with evobrutinib 75 mg BID vs placebo/evobrutinib 25 mg QD (-474.5 mm3 [-1,098.0 to -3.0], p = 0.047) and vs DMF (-711.6 [-1,290.0 to -149.0], p = 0.011). SEL volume was significantly reduced for evobrutinib high vs low dose within baseline Expanded Disability Status Scale ≥3.5 and longer disease duration (≥8.5 years) subgroups. DISCUSSION Evobrutinib reduced SEL volume in a dose-dependent manner in RMS, with a significant reduction with evobrutinib 75 mg BID. This is evident that evobrutinib affects brain lesions associated with chronic inflammation and tissue loss. TRIAL REGISTRATION INFORMATION ClinicalTrials.gov number: NCT02975349. Submitted to ClinicalTrials.gov on November 29, 2016. First patient enrolled: March 7, 2017. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that evobrutinib reduces the volume of SELs assessed on MRI comparing baseline with week 48, in patients with RMS.
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Affiliation(s)
- Douglas L Arnold
- From the Montreal Neurological Institute (D.L.A.), McGill University; NeuroRx Research (D.L.A., C.E.), Montreal, Quebec, Canada; EMD Serono (E.C.M.), Billerica, MA; The Healthcare Business of Merck KGaA (Y.H.); Ares Trading SA (D.T.), Eysins, Switzerland, an affiliate of Merck KGaA, Darmstadt, Germany; and Centre d'Esclerosi Múltiple de Catalunya (Cemcat) (X.M.), Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | - Colm Elliott
- From the Montreal Neurological Institute (D.L.A.), McGill University; NeuroRx Research (D.L.A., C.E.), Montreal, Quebec, Canada; EMD Serono (E.C.M.), Billerica, MA; The Healthcare Business of Merck KGaA (Y.H.); Ares Trading SA (D.T.), Eysins, Switzerland, an affiliate of Merck KGaA, Darmstadt, Germany; and Centre d'Esclerosi Múltiple de Catalunya (Cemcat) (X.M.), Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | - Emily C Martin
- From the Montreal Neurological Institute (D.L.A.), McGill University; NeuroRx Research (D.L.A., C.E.), Montreal, Quebec, Canada; EMD Serono (E.C.M.), Billerica, MA; The Healthcare Business of Merck KGaA (Y.H.); Ares Trading SA (D.T.), Eysins, Switzerland, an affiliate of Merck KGaA, Darmstadt, Germany; and Centre d'Esclerosi Múltiple de Catalunya (Cemcat) (X.M.), Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | - Yann Hyvert
- From the Montreal Neurological Institute (D.L.A.), McGill University; NeuroRx Research (D.L.A., C.E.), Montreal, Quebec, Canada; EMD Serono (E.C.M.), Billerica, MA; The Healthcare Business of Merck KGaA (Y.H.); Ares Trading SA (D.T.), Eysins, Switzerland, an affiliate of Merck KGaA, Darmstadt, Germany; and Centre d'Esclerosi Múltiple de Catalunya (Cemcat) (X.M.), Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | - Davorka Tomic
- From the Montreal Neurological Institute (D.L.A.), McGill University; NeuroRx Research (D.L.A., C.E.), Montreal, Quebec, Canada; EMD Serono (E.C.M.), Billerica, MA; The Healthcare Business of Merck KGaA (Y.H.); Ares Trading SA (D.T.), Eysins, Switzerland, an affiliate of Merck KGaA, Darmstadt, Germany; and Centre d'Esclerosi Múltiple de Catalunya (Cemcat) (X.M.), Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | - Xavier Montalban
- From the Montreal Neurological Institute (D.L.A.), McGill University; NeuroRx Research (D.L.A., C.E.), Montreal, Quebec, Canada; EMD Serono (E.C.M.), Billerica, MA; The Healthcare Business of Merck KGaA (Y.H.); Ares Trading SA (D.T.), Eysins, Switzerland, an affiliate of Merck KGaA, Darmstadt, Germany; and Centre d'Esclerosi Múltiple de Catalunya (Cemcat) (X.M.), Hospital Universitario Vall d'Hebron, Barcelona, Spain
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Nakamura K, Thoomukuntla B, Bena J, Cohen JA, Fox RJ, Ontaneda D. Ibudilast reduces slowly enlarging lesions in progressive multiple sclerosis. Mult Scler 2024; 30:369-380. [PMID: 38286755 PMCID: PMC11190892 DOI: 10.1177/13524585231224702] [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: 01/31/2024]
Abstract
BACKGROUND Ibudilast has shown beneficial effects on several imaging outcomes in progressive multiple sclerosis (MS). Slowly enlarging lesions are a proposed imaging biomarker of compartmentalized inflammation within chronic active lesions. OBJECTIVE To assess the treatment effect of ibudilast on slowly enlarging lesion volumes over 96 weeks from a phase II clinical trial of ibudilast (Secondary and Primary Progressive Ibudilast NeuroNEXT Trial in Multiple Sclerosis [SPRINT-MS]). METHODS In total, 255 participants with progressive MS from 28 sites were randomized to oral ibudilast or placebo. Participants with at least four analyzable magnetic resonance imaging (MRI) were included. Slowly enlarging lesions were quantified using Jacobian determinant maps. A linear model was used to assess the effect of ibudilast. Magnetization transfer ratio within slowly enlarging lesions was assessed to determine the effect of ibudilast on tissue integrity. RESULTS In total, 195 participants were included in this analysis. Ibudilast significantly decreased slowly enlarging lesion volume (23%, p = 0.003). Ibudilast also reduced magnetization transfer ratio change in slowly enlarging lesions: 0.22%/year, p = 0.04. CONCLUSION Ibudilast showed a significant effect on baseline volume of lesions that were slowly enlarging and magnetization transfer ratio in slowly enlarging lesions. The results support the use of slowly enlarging lesions for assessment of compartmentalized inflammation represented by chronic active lesions and provide further support for the neuroprotective effects of ibudilast in progressive MS.
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Affiliation(s)
- Kunio Nakamura
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Bhaskar Thoomukuntla
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - James Bena
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jeffrey A Cohen
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Robert J Fox
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
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Federau C, Hainc N, Edjlali M, Zhu G, Mastilovic M, Nierobisch N, Uhlemann JP, Paganucci S, Granziera C, Heinzlef O, Kipp LB, Wintermark M. Evaluation of the quality and the productivity of neuroradiological reading of multiple sclerosis follow-up MRI scans using an intelligent automation software. Neuroradiology 2024; 66:361-369. [PMID: 38265684 PMCID: PMC10859335 DOI: 10.1007/s00234-024-03293-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 01/10/2024] [Indexed: 01/25/2024]
Abstract
PURPOSE The assessment of multiple sclerosis (MS) lesions on follow-up magnetic resonance imaging (MRI) is tedious, time-consuming, and error-prone. Automation of low-level tasks could enhance the radiologist in this work. We evaluate the intelligent automation software Jazz in a blinded three centers study, for the assessment of new, slowly expanding, and contrast-enhancing MS lesions. METHODS In three separate centers, 117 MS follow-up MRIs were blindly analyzed on fluid attenuated inversion recovery (FLAIR), pre- and post-gadolinium T1-weighted images using Jazz by 2 neuroradiologists in each center. The reading time was recorded. The ground truth was defined in a second reading by side-by-side comparison of both reports from Jazz and the standard clinical report. The number of described new, slowly expanding, and contrast-enhancing lesions described with Jazz was compared to the lesions described in the standard clinical report. RESULTS A total of 96 new lesions from 41 patients and 162 slowly expanding lesions (SELs) from 61 patients were described in the ground truth reading. A significantly larger number of new lesions were described using Jazz compared to the standard clinical report (63 versus 24). No SELs were reported in the standard clinical report, while 95 SELs were reported on average using Jazz. A total of 4 new contrast-enhancing lesions were found in all reports. The reading with Jazz was very time efficient, taking on average 2min33s ± 1min0s per case. Overall inter-reader agreement for new lesions between the readers using Jazz was moderate for new lesions (Cohen kappa = 0.5) and slight for SELs (0.08). CONCLUSION The quality and the productivity of neuroradiological reading of MS follow-up MRI scans can be significantly improved using the dedicated software Jazz.
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Affiliation(s)
- Christian Federau
- AI Medical AG, Goldhaldenstr 22a, 8702, Zollikon, Switzerland.
- University of Zürich, Zürich, Switzerland.
| | - Nicolin Hainc
- University of Zürich, Zürich, Switzerland
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, University of Zürich, Zürich, Switzerland
| | - Myriam Edjlali
- Department of Radiology, APHP, Hôpitaux Raymond-Poincaré & Ambroise Paré, Paris, France
- Laboratoire d'imagerie Biomédicale Multimodale (BioMaps), Université Paris-Saclay, CEA, CNRS, Inserm, Service Hopsitalier Frédéric Joliot, Orsay, France
| | | | - Milica Mastilovic
- Department of Radiology, APHP, Hôpitaux Raymond-Poincaré & Ambroise Paré, Paris, France
- Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | - Nathalie Nierobisch
- University of Zürich, Zürich, Switzerland
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, University of Zürich, Zürich, Switzerland
| | - Jan-Philipp Uhlemann
- University of Zürich, Zürich, Switzerland
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, University of Zürich, Zürich, Switzerland
| | | | | | - Olivier Heinzlef
- Department of Neurology, Poissy-Saint-Germain-en-Laye Hospital, Poissy, France
- CRC SEP IDF Ouest, Poissy-Garches, France
| | - Lucas B Kipp
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Max Wintermark
- Stanford University, Stanford, USA
- MD Anderson Cancer Center, Houston, USA
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Ananthavarathan P, Sahi N, Chard DT. An update on the role of magnetic resonance imaging in predicting and monitoring multiple sclerosis progression. Expert Rev Neurother 2024; 24:201-216. [PMID: 38235594 DOI: 10.1080/14737175.2024.2304116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/08/2024] [Indexed: 01/19/2024]
Abstract
INTRODUCTION While magnetic resonance imaging (MRI) is established in diagnosing and monitoring disease activity in multiple sclerosis (MS), its utility in predicting and monitoring disease progression is less clear. AREAS COVERED The authors consider changing concepts in the phenotypic classification of MS, including progression independent of relapses; pathological processes underpinning progression; advances in MRI measures to assess them; how well MRI features explain and predict clinical outcomes, including models that assess disease effects on neural networks, and the potential role for machine learning. EXPERT OPINION Relapsing-remitting and progressive MS have evolved from being viewed as mutually exclusive to having considerable overlap. Progression is likely the consequence of several pathological elements, each important in building more holistic prognostic models beyond conventional phenotypes. MRI is well placed to assess pathogenic processes underpinning progression, but we need to bridge the gap between MRI measures and clinical outcomes. Mapping pathological effects on specific neural networks may help and machine learning methods may be able to optimize predictive markers while identifying new, or previously overlooked, clinically relevant features. The ever-increasing ability to measure features on MRI raises the dilemma of what to measure and when, and the challenge of translating research methods into clinically useable tools.
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Affiliation(s)
- Piriyankan Ananthavarathan
- Department of Neuroinflammation, University College London Queen Square Multiple Sclerosis Centre, London, UK
| | - Nitin Sahi
- Department of Neuroinflammation, University College London Queen Square Multiple Sclerosis Centre, London, UK
| | - Declan T Chard
- Clinical Research Associate & Consultant Neurologist, Institute of Neurology - Queen Square Multiple Sclerosis Centre, London, UK
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43
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Gakis G, Angelopoulos I, Panagoulias I, Mouzaki A. Current knowledge on multiple sclerosis pathophysiology, disability progression assessment and treatment options, and the role of autologous hematopoietic stem cell transplantation. Autoimmun Rev 2024; 23:103480. [PMID: 38008300 DOI: 10.1016/j.autrev.2023.103480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 11/20/2023] [Indexed: 11/28/2023]
Abstract
Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS) that affects nearly 2.8 million people each year. MS distinguishes three main types: relapsing-remitting MS (RRMS), secondary progressive MS (SPMS) and primary progressive MS (PPMS). RRMS is the most common type, with the majority of patients eventually progressing to SPMS, in which neurological development is constant, whereas PPMS is characterized by a progressive course from disease onset. New or additional insights into the role of effector and regulatory cells of the immune and CNS systems, Epstein-Barr virus (EBV) infection, and the microbiome in the pathophysiology of MS have emerged, which may lead to the development of more targeted therapies that can halt or reverse neurodegeneration. Depending on the type and severity of the disease, various disease-modifying therapies (DMTs) are currently used for RRMS/SPMS and PPMS. As a last resort, and especially in highly active RRMS that does not respond to DMTs, autologous hematopoietic stem cell transplantation (AHSCT) is performed and has shown good results in reducing neuroinflammation. Nevertheless, the question of its potential role in preventing disability progression remains open. The aim of this review is to provide a comprehensive update on MS pathophysiology, assessment of MS disability progression and current treatments, and to examine the potential role of AHSCT in preventing disability progression.
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Affiliation(s)
- Georgios Gakis
- Laboratory of Immunohematology, Medical School, University of Patras, Patras, Greece
| | - Ioannis Angelopoulos
- Laboratory of Immunohematology, Medical School, University of Patras, Patras, Greece
| | - Ioannis Panagoulias
- Laboratory of Immunohematology, Medical School, University of Patras, Patras, Greece
| | - Athanasia Mouzaki
- Laboratory of Immunohematology, Medical School, University of Patras, Patras, Greece.
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Peruzzotti-Jametti L, Willis CM, Hamel R, Krzak G, Reisz JA, Prag HA, Wu V, Xiang Y, van den Bosch AMR, Nicaise AM, Roth L, Bates GR, Huang H, Vincent AE, Frezza C, Viscomi C, Marioni JC, D'Alessandro A, Takats Z, Murphy MP, Pluchino S. Mitochondrial reverse electron transport in myeloid cells perpetuates neuroinflammation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.03.574059. [PMID: 38260262 PMCID: PMC10802366 DOI: 10.1101/2024.01.03.574059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Sustained smouldering, or low grade, activation of myeloid cells is a common hallmark of several chronic neurological diseases, including multiple sclerosis (MS) 1 . Distinct metabolic and mitochondrial features guide the activation and the diverse functional states of myeloid cells 2 . However, how these metabolic features act to perpetuate neuroinflammation is currently unknown. Using a multiomics approach, we identified a new molecular signature that perpetuates the activation of myeloid cells through mitochondrial complex II (CII) and I (CI) activity driving reverse electron transport (RET) and the production of reactive oxygen species (ROS). Blocking RET in pro-inflammatory myeloid cells protected the central nervous system (CNS) against neurotoxic damage and improved functional outcomes in animal disease models in vivo . Our data show that RET in myeloid cells is a potential new therapeutic target to foster neuroprotection in smouldering inflammatory CNS disorders 3 .
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Calvi A, Mendelsohn Z, Hamed W, Chard D, Tur C, Stutters J, MacManus D, Kanber B, Wheeler‐Kingshott CAMG, Barkhof F, Prados F. Treatment reduces the incidence of newly appearing multiple sclerosis lesions evolving into chronic active, slowly expanding lesions: A retrospective analysis. Eur J Neurol 2024; 31:e16092. [PMID: 37823722 PMCID: PMC11236028 DOI: 10.1111/ene.16092] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 09/05/2023] [Accepted: 09/21/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND AND PURPOSE Newly appearing lesions in multiple sclerosis (MS) may evolve into chronically active, slowly expanding lesions (SELs), leading to sustained disability progression. The aim of this study was to evaluate the incidence of newly appearing lesions developing into SELs, and their correlation to clinical evolution and treatment. METHODS A retrospective analysis of a fingolimod trial in primary progressive MS (PPMS; INFORMS, NCT00731692) was undertaken. Data were available from 324 patients with magnetic resonance imaging scans up to 3 years after screening. New lesions at year 1 were identified with convolutional neural networks, and SELs obtained through a deformation-based method. Clinical disability was assessed annually by Expanded Disability Status Scale (EDSS), Nine-Hole Peg Test, Timed 25-Foot Walk, and Paced Auditory Serial Addition Test. Linear, logistic, and mixed-effect models were used to assess the relationship between the Jacobian expansion in new lesions and SELs, disability scores, and treatment status. RESULTS One hundred seventy patients had ≥1 new lesions at year 1 and had a higher lesion count at screening compared to patients with no new lesions (median = 27 vs. 22, p = 0.007). Among the new lesions (median = 2 per patient), 37% evolved into definite or possible SELs. Higher SEL volume and count were associated with EDSS worsening and confirmed disability progression. Treated patients had lower volume and count of definite SELs (β = -0.04, 95% confidence interval [CI] = -0.07 to -0.01, p = 0.015; β = -0.36, 95% CI = -0.67 to -0.06, p = 0.019, respectively). CONCLUSIONS Incident chronic active lesions are common in PPMS, and fingolimod treatment can reduce their number.
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Affiliation(s)
- Alberto Calvi
- NMR Research Unit, Institute of NeurologyUniversity College LondonLondonUK
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Fundació Clinic per a la Recerca BiomèdicaBarcelonaSpain
| | - Zoe Mendelsohn
- NMR Research Unit, Institute of NeurologyUniversity College LondonLondonUK
- Department of RadiologyCharité School of Medicine and University Hospital BerlinBerlinGermany
| | - Weaam Hamed
- NMR Research Unit, Institute of NeurologyUniversity College LondonLondonUK
- Department of RadiologyMansoura University HospitalMansouraEgypt
| | - Declan Chard
- NMR Research Unit, Institute of NeurologyUniversity College LondonLondonUK
- National Institute for Health Research, Biomedical Research CentreUniversity College London HospitalsLondonUK
| | - Carmen Tur
- NMR Research Unit, Institute of NeurologyUniversity College LondonLondonUK
- Neurology‐Neuroimmunology DepartmentMultiple Sclerosis Centre of Catalonia, Vall d'Hebron Barcelona Hospital CampusBarcelonaSpain
| | - Jon Stutters
- NMR Research Unit, Institute of NeurologyUniversity College LondonLondonUK
| | - David MacManus
- NMR Research Unit, Institute of NeurologyUniversity College LondonLondonUK
| | - Baris Kanber
- National Institute for Health Research, Biomedical Research CentreUniversity College London HospitalsLondonUK
- Department of Medical Physics and Biomedical Engineering, Centre for Medical Image ComputingUniversity College LondonLondonUK
| | | | - Frederik Barkhof
- NMR Research Unit, Institute of NeurologyUniversity College LondonLondonUK
- Department of Medical Physics and Biomedical Engineering, Centre for Medical Image ComputingUniversity College LondonLondonUK
- Radiology and Nuclear Medicine, Amsterdam University Medical Centers (UMC)Vrije UniversiteitAmsterdamthe Netherlands
| | - Ferran Prados
- NMR Research Unit, Institute of NeurologyUniversity College LondonLondonUK
- Department of Medical Physics and Biomedical Engineering, Centre for Medical Image ComputingUniversity College LondonLondonUK
- e‐Health CentreUniversitat Oberta de CatalunyaBarcelonaSpain
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Cacciaguerra L, Rocca MA, Filippi M. Understanding the Pathophysiology and Magnetic Resonance Imaging of Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders. Korean J Radiol 2023; 24:1260-1283. [PMID: 38016685 PMCID: PMC10700997 DOI: 10.3348/kjr.2023.0360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 08/09/2023] [Accepted: 08/21/2023] [Indexed: 11/30/2023] Open
Abstract
Magnetic resonance imaging (MRI) has been extensively applied in the study of multiple sclerosis (MS), substantially contributing to diagnosis, differential diagnosis, and disease monitoring. MRI studies have significantly contributed to the understanding of MS through the characterization of typical radiological features and their clinical or prognostic implications using conventional MRI pulse sequences and further with the application of advanced imaging techniques sensitive to microstructural damage. Interpretation of results has often been validated by MRI-pathology studies. However, the application of MRI techniques in the study of neuromyelitis optica spectrum disorders (NMOSD) remains an emerging field, and MRI studies have focused on radiological correlates of NMOSD and its pathophysiology to aid in diagnosis, improve monitoring, and identify relevant prognostic factors. In this review, we discuss the main contributions of MRI to the understanding of MS and NMOSD, focusing on the most novel discoveries to clarify differences in the pathophysiology of focal inflammation initiation and perpetuation, involvement of normal-appearing tissue, potential entry routes of pathogenic elements into the CNS, and existence of primary or secondary mechanisms of neurodegeneration.
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Affiliation(s)
- Laura Cacciaguerra
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milano, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milano, Italy.
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Hartung HP, Cree BA, Barnett M, Meuth SG, Bar-Or A, Steinman L. Bioavailable central nervous system disease-modifying therapies for multiple sclerosis. Front Immunol 2023; 14:1290666. [PMID: 38162670 PMCID: PMC10755740 DOI: 10.3389/fimmu.2023.1290666] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/09/2023] [Indexed: 01/03/2024] Open
Abstract
Disease-modifying therapies for relapsing multiple sclerosis reduce relapse rates by suppressing peripheral immune cells but have limited efficacy in progressive forms of the disease where cells in the central nervous system play a critical role. To our knowledge, alemtuzumab, fumarates (dimethyl, diroximel, and monomethyl), glatiramer acetates, interferons, mitoxantrone, natalizumab, ocrelizumab, ofatumumab, and teriflunomide are either limited to the periphery or insufficiently studied to confirm direct central nervous system effects in participants with multiple sclerosis. In contrast, cladribine and sphingosine 1-phosphate receptor modulators (fingolimod, ozanimod, ponesimod, and siponimod) are central nervous system-penetrant and could have beneficial direct central nervous system properties.
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Affiliation(s)
- Hans-Peter Hartung
- Department of Neurology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- Department of Neurology, Palacký University Olomouc, Olomouc, Czechia
| | - Bruce A.C. Cree
- Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, United States
| | - Michael Barnett
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Sven G. Meuth
- Department of Neurology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Amit Bar-Or
- Center for Neuroinflammation and Experimental Therapeutics, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Lawrence Steinman
- Department of Neurology and Neurological Sciences, Beckman Center for Molecular Medicine, Stanford University Medical Center, Stanford, CA, United States
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Elkjaer ML, Waede MR, Kingo C, Damsbo K, Illes Z. Expression of Bruton´s tyrosine kinase in different type of brain lesions of multiple sclerosis patients and during experimental demyelination. Front Immunol 2023; 14:1264128. [PMID: 38022591 PMCID: PMC10679451 DOI: 10.3389/fimmu.2023.1264128] [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: 07/20/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
Background Inhibition of Bruton's tyrosine kinase (BTK) is an emerging multiple sclerosis (MS) therapy. BTK inhibitors (BTKi) cross the blood-brain barrier and modulate B cells and microglia, major cellular players in active and chronic active lesions. Objective To assess potential lesional and cellular targets of BTKi, we examined BTK expression in different type of MS white matter (WM) lesions, in unmanipulated CNS resident cells, and in a degenerative MS model associated with microglia activation in vivo. Methods We examined BTK expression by next-generation RNA-sequencing in postmortem 25 control WM, 19 NAWM, 6 remyelinating, 18 active, 13 inactive and 17 chronic active lesions. Presence of B cells and microglia were examined by immunohistochemistry. CNS resident cells were isolated from the mouse brain by magnetic sorting. BTK expression was examined by quantitative PCR in isolated cells and dissected corpus callosum from mice treated with cuprizone (CPZ). Results BTK expression was significantly increased in active and chronic active lesions with upregulated complement receptors and Fcγ receptors. Active lesions contained high number of perivascular B cells, microglia, and macrophages. Chronic active lesions were characterized by microglia/macrophages in the rim. Microglia expressed BTK at high level (120-fold) in contrast to other CNS cell types (2-4-fold). BTK expression was increasing during CPZ treatment reaching significance after stopping CPZ. Conclusion Considering BTK expression in MS lesions and resident cells, BTKi may exert effect on B cells, microglia/macrophages in active lesions, and limit microglia activation in chronic active lesions, where tissue damage propagates.
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Affiliation(s)
- Maria L. Elkjaer
- Department of Neurology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Mie R. Waede
- Department of Neurology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Christina Kingo
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Karina Damsbo
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Zsolt Illes
- Department of Neurology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Molecular Medicine, University of Southern Denmark, Odense, Denmark
- BRIDGE – Brain Research Interdisciplinary Guided Ecxellence, University of Southern Denmark, Odense, Denmark
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Ruggieri S, Prosperini L, Petracca M, Logoteta A, Tinelli E, De Giglio L, Ciccarelli O, Gasperini C, Pozzilli C. The added value of spinal cord lesions to disability accrual in multiple sclerosis. J Neurol 2023; 270:4995-5003. [PMID: 37386292 PMCID: PMC10511608 DOI: 10.1007/s00415-023-11829-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 07/01/2023]
Abstract
Spinal cord MRI is not routinely performed for multiple sclerosis (MS) monitoring. Here, we explored whether spinal cord MRI activity offers any added value over brain MRI activity for clinical outcomes prediction in MS. This is a retrospective, monocentric study including 830 MS patients who underwent longitudinal brain and spinal cord MRI [median follow-up 7 years (range: < 1-26)]. According to the presence (or absence) of MRI activity defined as at least one new T2 lesion and/or gadolinium (Gd) enhancing lesion, each scan was classified as: (i) brain MRI negative/spinal cord MRI negative; (ii) brain MRI positive/spinal cord MRI negative; (iii) brain MRI negative/spinal cord MRI positive; (iv) brain MRI positive/spinal cord MRI positive. The relationship between such patterns and clinical outcomes was explored by multivariable regression models. When compared with the presence of brain MRI activity alone: (i) Gd + lesions in the spine alone and both in the brain and in the spinal cord were associated with an increased risk of concomitant relapses (OR = 4.1, 95% CI 2.4-7.1, p < 0.001 and OR = 4.9, 95% CI 4.6-9.1, p < 0.001, respectively); (ii) new T2 lesions at both locations were associated with an increased risk of disability worsening (HR = 1.4, 95% CI = 1.0-2.1, p = 0.05). Beyond the presence of brain MRI activity, new spinal cord lesions are associated with increased risk of both relapses and disability worsening. In addition, 16.1% of patients presented asymptomatic, isolated spinal cord activity (Gd + lesions). Monitoring MS with spinal cord MRI may allow a more accurate risk stratification and treatment optimization.
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Affiliation(s)
- Serena Ruggieri
- Department of Human Neurosciences, Sapienza University of Rome, Viale Dell'Università 30, 00185, Rome, Italy.
- Neuroimmunology Unit, IRCSS Fondazione Santa Lucia, Rome, Rome, Italy.
| | - Luca Prosperini
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Maria Petracca
- Department of Human Neurosciences, Sapienza University of Rome, Viale Dell'Università 30, 00185, Rome, Italy
| | - Alessandra Logoteta
- Department of Maternal Infantile and Urological Sciences, Sapienza University of Rome, Rome, Italy
| | - Emanuele Tinelli
- Unit of Neuroradiology, Department of Medical and Surgical Sciences, "Magna Graecia" University, Catanzaro, Italy
- Radiology, Neurological Center of Latium, Rome, Rome, Italy
| | | | - Olga Ciccarelli
- Queen Square MS Centre, Faculty of Brain Sciences, University College London Queen Square Institute of Neurology, London, UK
- National Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK
| | - Claudio Gasperini
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Carlo Pozzilli
- Department of Human Neurosciences, Sapienza University of Rome, Viale Dell'Università 30, 00185, Rome, Italy
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Sy M, Newton BL, Pawling J, Hayama KL, Cordon A, Yu Z, Kuhle J, Dennis JW, Brandt AU, Demetriou M. N-acetylglucosamine inhibits inflammation and neurodegeneration markers in multiple sclerosis: a mechanistic trial. J Neuroinflammation 2023; 20:209. [PMID: 37705084 PMCID: PMC10498575 DOI: 10.1186/s12974-023-02893-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 09/07/2023] [Indexed: 09/15/2023] Open
Abstract
BACKGROUND In the demyelinating disease multiple sclerosis (MS), chronic-active brain inflammation, remyelination failure and neurodegeneration remain major issues despite immunotherapy. While B cell depletion and blockade/sequestration of T and B cells potently reduces episodic relapses, they act peripherally to allow persistence of chronic-active brain inflammation and progressive neurological dysfunction. N-acetyglucosamine (GlcNAc) is a triple modulator of inflammation, myelination and neurodegeneration. GlcNAc promotes biosynthesis of Asn (N)-linked-glycans, which interact with galectins to co-regulate the clustering/signaling/endocytosis of multiple glycoproteins simultaneously. In mice, GlcNAc crosses the blood brain barrier to raise N-glycan branching, suppress inflammatory demyelination by T and B cells and trigger stem/progenitor cell mediated myelin repair. MS clinical severity, demyelination lesion size and neurodegeneration inversely associate with a marker of endogenous GlcNAc, while in healthy humans, age-associated increases in endogenous GlcNAc promote T cell senescence. OBJECTIVES AND METHODS An open label dose-escalation mechanistic trial of oral GlcNAc at 6 g (n = 18) and 12 g (n = 16) for 4 weeks was performed in MS patients on glatiramer acetate and not in relapse from March 2016 to December 2019 to assess changes in serum GlcNAc, lymphocyte N-glycosylation and inflammatory markers. Post-hoc analysis examined changes in serum neurofilament light chain (sNfL) as well as neurological disability via the Expanded Disability Status Scale (EDSS). RESULTS Prior to GlcNAc therapy, high serum levels of the inflammatory cytokines IFNγ, IL-17 and IL-6 associated with reduced baseline levels of a marker of endogenous serum GlcNAc. Oral GlcNAc therapy was safe, raised serum levels and modulated N-glycan branching in lymphocytes. Glatiramer acetate reduces TH1, TH17 and B cell activity as well as sNfL, yet the addition of oral GlcNAc dose-dependently lowered serum IFNγ, IL-17, IL-6 and NfL. Oral GlcANc also dose-dependently reduced serum levels of the anti-inflammatory cytokine IL-10, which is increased in the brain of MS patients. 30% of treated patients displayed confirmed improvement in neurological disability, with an average EDSS score decrease of 0.52 points. CONCLUSIONS Oral GlcNAc inhibits inflammation and neurodegeneration markers in MS patients despite concurrent immunomodulation by glatiramer acetate. Blinded studies are required to investigate GlcNAc's potential to control residual brain inflammation, myelin repair and neurodegeneration in MS.
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Affiliation(s)
- Michael Sy
- Department of Neurology, University of California Irvine, 208 Sprague Hall, Mail Code 4032, Irvine, CA, 92697, USA
| | - Barbara L Newton
- Department of Neurology, University of California Irvine, 208 Sprague Hall, Mail Code 4032, Irvine, CA, 92697, USA
| | - Judy Pawling
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, 600 University Ave, Toronto, ON, M5G 1X5, Canada
| | - Ken L Hayama
- Department of Neurology, University of California Irvine, 208 Sprague Hall, Mail Code 4032, Irvine, CA, 92697, USA
| | - Andres Cordon
- Department of Neurology, University of California Irvine, 208 Sprague Hall, Mail Code 4032, Irvine, CA, 92697, USA
| | - Zhaoxia Yu
- Department of Statistics, Donald Bren School of Information and Computer Sciences, University of California Irvine, Bren Hall 2019, Irvine, CA, 92697, USA
| | - Jens Kuhle
- Department of Neurology, University Hospital Basel, Mittlere Strasse 83, 4056, Basel, Switzerland
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - James W Dennis
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, 600 University Ave, Toronto, ON, M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 1A8, Canada
| | - Alexander U Brandt
- Department of Neurology, University of California Irvine, 208 Sprague Hall, Mail Code 4032, Irvine, CA, 92697, USA
| | - Michael Demetriou
- Department of Neurology, University of California Irvine, 208 Sprague Hall, Mail Code 4032, Irvine, CA, 92697, USA.
- Department of Microbiology and Molecular Genetics, University of California Irvine, Irvine, USA.
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