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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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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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3
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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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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. [PMID: 39051525 DOI: 10.1002/ana.27034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [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.
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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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5
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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 2024:10.1007/s00415-024-12568-x. [PMID: 39003428 DOI: 10.1007/s00415-024-12568-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 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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6
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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 DOI: 10.3174/ajnr.a8304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [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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8
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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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10
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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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11
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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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12
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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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13
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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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14
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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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15
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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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16
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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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17
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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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18
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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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19
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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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20
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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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21
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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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22
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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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23
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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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24
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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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25
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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 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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26
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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: 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: 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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27
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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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28
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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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Gharibani P, Abramson E, Shanmukha S, Smith MD, Godfrey WH, Lee JJ, Hu J, Baydyuk M, Dorion MF, Deng X, Guo Y, Hwang S, Huang JK, Calabresi PA, Kornberg MD, Kim PM. PKC modulator bryostatin-1 therapeutically targets CNS innate immunity to attenuate neuroinflammation and promote remyelination. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.28.555084. [PMID: 37693473 PMCID: PMC10491095 DOI: 10.1101/2023.08.28.555084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
In multiple sclerosis (MS), microglia and macrophages within the central nervous system (CNS) play an important role in determining the balance between myelin repair and demyelination/neurodegeneration. 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 critical lack of therapies promoting remyelination and slowing progression in 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, produces a shift in microglia and CNS macrophage transcriptional programs from pro-inflammatory to regenerative phenotypes, both in vitro and in vivo. Treatment of microglia with bryo-1 prevented the activation of neurotoxic astrocytes while stimulating scavenger pathways, phagocytosis, and secretion of factors that promote oligodendrocyte differentiation. In line with these findings, systemic treatment with bryo-1 augmented remyelination following a focal demyelinating injury in vivo. Our results demonstrate the potential of bryo-1 and functionally related PKC modulators as myelin regenerative and neuroprotective agents in MS and other neurologic diseases through therapeutic targeting of microglia and CNS-associated macrophages.
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Affiliation(s)
- Payam Gharibani
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, Maryland, 21287, USA
| | - Efrat Abramson
- Interdepartmental Neuroscience Program, Yale University School of Medicine, Yale University, New Haven, CT 06510
| | - Shruthi Shanmukha
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine; Baltimore, Maryland, 21287, USA
| | - Matthew D. Smith
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, Maryland, 21287, USA
| | - Wesley H. Godfrey
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, Maryland, 21287, USA
| | - Judy J. Lee
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, Maryland, 21287, USA
| | - Jingwen Hu
- 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, Maryland, 21287, USA
| | - Yu Guo
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine; Baltimore, Maryland, 21287, USA
| | - Soonmyung Hwang
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, Maryland, 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, Maryland, 21287, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine; Baltimore, Maryland, 21287, USA
| | - Michael D. Kornberg
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, Maryland, 21287, USA
| | - Paul M. Kim
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine; Baltimore, Maryland, 21287, USA
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Pukoli D, Vécsei L. Smouldering Lesion in MS: Microglia, Lymphocytes and Pathobiochemical Mechanisms. Int J Mol Sci 2023; 24:12631. [PMID: 37628811 PMCID: PMC10454160 DOI: 10.3390/ijms241612631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/05/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023] Open
Abstract
Multiple sclerosis (MS) is an immune-mediated, chronic inflammatory, demyelinating, and neurodegenerative disease of the central nervous system (CNS). Immune cell infiltration can lead to permanent activation of macrophages and microglia in the parenchyma, resulting in demyelination and neurodegeneration. Thus, neurodegeneration that begins with acute lymphocytic inflammation may progress to chronic inflammation. This chronic inflammation is thought to underlie the development of so-called smouldering lesions. These lesions evolve from acute inflammatory lesions and are associated with continuous low-grade demyelination and neurodegeneration over many years. Their presence is associated with poor disease prognosis and promotes the transition to progressive MS, which may later manifest clinically as progressive MS when neurodegeneration exceeds the upper limit of functional compensation. In smouldering lesions, in the presence of only moderate inflammatory activity, a toxic environment is clearly identifiable and contributes to the progressive degeneration of neurons, axons, and oligodendrocytes and, thus, to clinical disease progression. In addition to the cells of the immune system, the development of oxidative stress in MS lesions, mitochondrial damage, and hypoxia caused by the resulting energy deficit and iron accumulation are thought to play a role in this process. In addition to classical immune mediators, this chronic toxic environment contains high concentrations of oxidants and iron ions, as well as the excitatory neurotransmitter glutamate. In this review, we will discuss how these pathobiochemical markers and mechanisms, alone or in combination, lead to neuronal, axonal, and glial cell death and ultimately to the process of neuroinflammation and neurodegeneration, and then discuss the concepts and conclusions that emerge from these findings. Understanding the role of these pathobiochemical markers would be important to gain a better insight into the relationship between the clinical classification and the pathomechanism of MS.
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Affiliation(s)
- Dániel Pukoli
- Department of Neurology, Esztergomi Vaszary Kolos Hospital, 2500 Esztergom, Hungary;
| | - László Vécsei
- Department of Neurology, Faculty of Medicine, University of Szeged, Semmelweis u. 6., H-6725 Szeged, Hungary
- Danube Neuroscience Research Laboratory, ELKH-SZTE Neuroscience Research Group, Eötvös Loránd Research Network, University of Szeged (ELKH-SZTE), Tisza Lajos krt. 113, H-6725 Szeged, Hungary
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Maggi P, Bulcke CV, Pedrini E, Bugli C, Sellimi A, Wynen M, Stölting A, Mullins WA, Kalaitzidis G, Lolli V, Perrotta G, El Sankari S, Duprez T, Li X, Calabresi PA, van Pesch V, Reich DS, Absinta M. B cell depletion therapy does not resolve chronic active multiple sclerosis lesions. EBioMedicine 2023; 94:104701. [PMID: 37437310 PMCID: PMC10436266 DOI: 10.1016/j.ebiom.2023.104701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 06/23/2023] [Accepted: 06/23/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Chronic active lesions (CAL) in multiple sclerosis (MS) have been observed even in patients taking high-efficacy disease-modifying therapy, including B-cell depletion. Given that CAL are a major determinant of clinical progression, including progression independent of relapse activity (PIRA), understanding the predicted activity and real-world effects of targeting specific lymphocyte populations is critical for designing next-generation treatments to mitigate chronic inflammation in MS. METHODS We analyzed published lymphocyte single-cell transcriptomes from MS lesions and bioinformatically predicted the effects of depleting lymphocyte subpopulations (including CD20 B-cells) from CAL via gene-regulatory-network machine-learning analysis. Motivated by the results, we performed in vivo MRI assessment of PRL changes in 72 adults with MS, 46 treated with anti-CD20 antibodies and 26 untreated, over ∼2 years. FINDINGS Although only 4.3% of lymphocytes in CAL were CD20 B-cells, their depletion is predicted to affect microglial genes involved in iron/heme metabolism, hypoxia, and antigen presentation. In vivo, tracking 202 PRL (150 treated) and 175 non-PRL (124 treated), none of the treated paramagnetic rims disappeared at follow-up, nor was there a treatment effect on PRL for lesion volume, magnetic susceptibility, or T1 time. PIRA occurred in 20% of treated patients, more frequently in those with ≥4 PRL (p = 0.027). INTERPRETATION Despite predicted effects on microglia-mediated inflammatory networks in CAL and iron metabolism, anti-CD20 therapies do not fully resolve PRL after 2-year MRI follow up. Limited tissue turnover of B-cells, inefficient passage of anti-CD20 antibodies across the blood-brain-barrier, and a paucity of B-cells in CAL could explain our findings. FUNDING Intramural Research Program of NINDS, NIH; NINDS grants R01NS082347 and R01NS082347; Dr. Miriam and Sheldon G. Adelson Medical Research Foundation; Cariplo Foundation (grant #1677), FRRB Early Career Award (grant #1750327); Fund for Scientific Research (FNRS).
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Affiliation(s)
- Pietro Maggi
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium; Neuroinflammation Imaging Lab (NIL), Université Catholique de Louvain, Brussels, Belgium; Centre Hospitalier Universitaire Vaudois, Université de Lausanne, Lausanne, Switzerland.
| | - Colin Vanden Bulcke
- Neuroinflammation Imaging Lab (NIL), Université Catholique de Louvain, Brussels, Belgium
| | - Edoardo Pedrini
- Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University and IRCCS San Raffaele Hospital, Milan, Italy
| | - Céline Bugli
- Plateforme Technologique de Support en Méthodologie et Calcul Statistique, Université Catholique de Louvain, Brussels, Belgium
| | - Amina Sellimi
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Maxence Wynen
- Neuroinflammation Imaging Lab (NIL), Université Catholique de Louvain, Brussels, Belgium
| | - Anna Stölting
- Neuroinflammation Imaging Lab (NIL), Université Catholique de Louvain, Brussels, Belgium
| | - William A Mullins
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Grigorios Kalaitzidis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Valentina Lolli
- Hôpital Erasme, Université Libre de Bruxelles, Bruxelles, Belgium
| | - Gaetano Perrotta
- Hôpital Erasme, Université Libre de Bruxelles, Bruxelles, Belgium
| | - Souraya El Sankari
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Thierry Duprez
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Xu Li
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Vincent van Pesch
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Martina Absinta
- Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University and IRCCS San Raffaele Hospital, Milan, Italy; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Temmerman J, Engelborghs S, Bjerke M, D’haeseleer M. Cerebrospinal fluid inflammatory biomarkers for disease progression in Alzheimer's disease and multiple sclerosis: a systematic review. Front Immunol 2023; 14:1162340. [PMID: 37520580 PMCID: PMC10374015 DOI: 10.3389/fimmu.2023.1162340] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/12/2023] [Indexed: 08/01/2023] Open
Abstract
Inflammatory processes are involved in the pathophysiology of both Alzheimer's disease (AD) and multiple sclerosis (MS) but their exact contribution to disease progression remains to be deciphered. Biomarkers are needed to define pathophysiological processes of these disorders, who may increasingly co-exist in the elderly generations of the future, due to the rising prevalence in both and ameliorated treatment options with improved life expectancy in MS. The purpose of this review was to provide a systematic overview of inflammatory biomarkers, as measured in the cerebrospinal fluid (CSF), that are associated with clinical disease progression. International peer-reviewed literature was screened using the PubMed and Web of Science databases. Disease progression had to be measured using clinically validated tests representing baseline functional and/or cognitive status, the evolution of such clinical scores over time and/or the transitioning from one disease stage to a more severe stage. The quality of included studies was systematically evaluated using a set of questions for clinical, neurochemical and statistical characteristics of the study. A total of 84 papers were included (twenty-five for AD and 59 for MS). Elevated CSF levels of chitinase-3-like protein 1 (YKL-40) were associated with disease progression in both AD and MS. Osteopontin and monocyte chemoattractant protein-1 were more specifically related to disease progression in AD, whereas the same was true for interleukin-1 beta, tumor necrosis factor alpha, C-X-C motif ligand 13, glial fibrillary acidic protein and IgG oligoclonal bands in MS. We observed a broad heterogeneity of studies with varying cohort characterization, non-disclosure of quality measures for neurochemical analyses and a lack of adequate longitudinal designs. Most of the retrieved biomarkers are related to innate immune system activity, which seems to be an important mediator of clinical disease progression in AD and MS. Overall study quality was limited and we have framed some recommendations for future biomarker research in this field. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42021264741.
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Affiliation(s)
- Joke Temmerman
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universiteit Antwerpen, Department of Biomedical Sciences and Institute Born-Bunge, Reference Center for Biological Markers of Dementia (BIODEM), Wilrijk, Antwerp, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
| | - Sebastiaan Engelborghs
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universiteit Antwerpen, Department of Biomedical Sciences and Institute Born-Bunge, Reference Center for Biological Markers of Dementia (BIODEM), Wilrijk, Antwerp, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
| | - Maria Bjerke
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universiteit Antwerpen, Department of Biomedical Sciences and Institute Born-Bunge, Reference Center for Biological Markers of Dementia (BIODEM), Wilrijk, Antwerp, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
- Universitair Ziekenhuis Brussel, Department of Clinical Biology, Laboratory of Clinical Neurochemistry, Jette, Brussels, Belgium
| | - Miguel D’haeseleer
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
- National MS Center (NMSC), Neurology, Melsbroek, Steenokkerzeel, Belgium
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Bittner S, Pape K, Klotz L, Zipp F. Implications of immunometabolism for smouldering MS pathology and therapy. Nat Rev Neurol 2023:10.1038/s41582-023-00839-6. [PMID: 37430070 DOI: 10.1038/s41582-023-00839-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/08/2023] [Indexed: 07/12/2023]
Abstract
Clinical symptom worsening in patients with multiple sclerosis (MS) is driven by inflammation compartmentalized within the CNS, which results in chronic neuronal damage owing to insufficient repair mechanisms. The term 'smouldering inflammation' summarizes the biological aspects underlying this chronic, non-relapsing and immune-mediated mechanism of disease progression. Smouldering inflammation is likely to be shaped and sustained by local factors in the CNS that account for the persistence of this inflammatory response and explain why current treatments for MS do not sufficiently target this process. Local factors that affect the metabolic properties of glial cells and neurons include cytokines, pH value, lactate levels and nutrient availability. This Review summarizes current knowledge of the local inflammatory microenvironment in smouldering inflammation and how it interacts with the metabolism of tissue-resident immune cells, thereby promoting inflammatory niches within the CNS. The discussion highlights environmental and lifestyle factors that are increasingly recognized as capable of altering immune cell metabolism and potentially responsible for smouldering pathology in the CNS. Currently approved MS therapies that target metabolic pathways are also discussed, along with their potential for preventing the processes that contribute to smouldering inflammation and thereby to progressive neurodegenerative damage in MS.
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Affiliation(s)
- 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.
| | - Katrin Pape
- 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
| | - Luisa Klotz
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
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Brier MR, Li Z, Ly M, Karim HT, Liang L, Du W, McCarthy JE, Cross AH, Benzinger TLS, Naismith RT, Chahin S. "Brain age" predicts disability accumulation in multiple sclerosis. Ann Clin Transl Neurol 2023; 10:990-1001. [PMID: 37119507 PMCID: PMC10270248 DOI: 10.1002/acn3.51782] [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: 01/09/2023] [Revised: 03/17/2023] [Accepted: 04/10/2023] [Indexed: 05/01/2023] Open
Abstract
OBJECTIVE Neurodegenerative conditions often manifest radiologically with the appearance of premature aging. Multiple sclerosis (MS) biomarkers related to lesion burden are well developed, but measures of neurodegeneration are less well-developed. The appearance of premature aging quantified by machine learning applied to structural MRI assesses neurodegenerative pathology. We assess the explanatory and predictive power of "brain age" analysis on disability in MS using a large, real-world dataset. METHODS Brain age analysis is predicated on the over-estimation of predicted brain age in patients with more advanced pathology. We compared the performance of three brain age algorithms in a large, longitudinal dataset (>13,000 imaging sessions from >6,000 individual MS patients). Effects of MS, MS disease course, disability, lesion burden, and DMT efficacy were assessed using linear mixed effects models. RESULTS MS was associated with advanced predicted brain age cross-sectionally and accelerated brain aging longitudinally in all techniques. While MS disease course (relapsing vs. progressive) did contribute to advanced brain age, disability was the primary correlate of advanced brain age. We found that advanced brain age at study enrollment predicted more disability accumulation longitudinally. Lastly, a more youthful appearing brain (predicted brain age less than actual age) was associated with decreased disability. INTERPRETATION Brain age is a technically tractable and clinically relevant biomarker of disease pathology that correlates with and predicts increasing disability in MS. Advanced brain age predicts future disability accumulation.
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Affiliation(s)
- Matthew R. Brier
- Department of NeurologyWashington University in St. LouisSt LouisMissouriUSA
| | - Zhuocheng Li
- Department of NeurologyWashington University in St. LouisSt LouisMissouriUSA
| | - Maria Ly
- Mallinckrodt Institute of RadiologyWashington University in St. LouisSt LouisMissouriUSA
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Helmet T. Karim
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
- Department of BioengineeringUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Leda Liang
- Department of Mathematics and StatisticsWashington University in St. LouisSt LouisMissouriUSA
| | - Weixin Du
- Department of Mathematics and StatisticsWashington University in St. LouisSt LouisMissouriUSA
| | - John E. McCarthy
- Department of Mathematics and StatisticsWashington University in St. LouisSt LouisMissouriUSA
| | - Anne H. Cross
- Department of NeurologyWashington University in St. LouisSt LouisMissouriUSA
| | - Tammie L. S. Benzinger
- Mallinckrodt Institute of RadiologyWashington University in St. LouisSt LouisMissouriUSA
| | - Robert T. Naismith
- Department of NeurologyWashington University in St. LouisSt LouisMissouriUSA
| | - Salim Chahin
- Department of NeurologyWashington University in St. LouisSt LouisMissouriUSA
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36
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Krämer J, Bar-Or A, Turner TJ, Wiendl H. Bruton tyrosine kinase inhibitors for multiple sclerosis. Nat Rev Neurol 2023; 19:289-304. [PMID: 37055617 PMCID: PMC10100639 DOI: 10.1038/s41582-023-00800-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2023] [Indexed: 04/15/2023]
Abstract
Current therapies for multiple sclerosis (MS) reduce both relapses and relapse-associated worsening of disability, which is assumed to be mainly associated with transient infiltration of peripheral immune cells into the central nervous system (CNS). However, approved therapies are less effective at slowing disability accumulation in patients with MS, in part owing to their lack of relevant effects on CNS-compartmentalized inflammation, which has been proposed to drive disability. Bruton tyrosine kinase (BTK) is an intracellular signalling molecule involved in the regulation of maturation, survival, migration and activation of B cells and microglia. As CNS-compartmentalized B cells and microglia are considered central to the immunopathogenesis of progressive MS, treatment with CNS-penetrant BTK inhibitors might curtail disease progression by targeting immune cells on both sides of the blood-brain barrier. Five BTK inhibitors that differ in selectivity, strength of inhibition, binding mechanisms and ability to modulate immune cells within the CNS are currently under investigation in clinical trials as a treatment for MS. This Review describes the role of BTK in various immune cells implicated in MS, provides an overview of preclinical data on BTK inhibitors and discusses the (largely preliminary) data from clinical trials.
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Affiliation(s)
- Julia Krämer
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Amit Bar-Or
- Center for Neuroinflammation and Neurotherapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany.
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37
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Pivovarova-Ramich O, Zimmermann HG, Paul F. Multiple sclerosis and circadian rhythms: Can diet act as a treatment? Acta Physiol (Oxf) 2023; 237:e13939. [PMID: 36700353 DOI: 10.1111/apha.13939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 12/15/2022] [Accepted: 01/24/2023] [Indexed: 01/27/2023]
Abstract
Multiple sclerosis (MS) is an autoimmune inflammatory and neurodegenerative disease of the central nervous system (CNS) with increasing incidence and prevalence. MS is associated with inflammatory and metabolic disturbances that, as preliminary human and animal data suggest, might be mediated by disruption of circadian rhythmicity. Nutrition habits can influence the risk for MS, and dietary interventions may be effective in modulating MS disease course. Chronotherapeutic approaches such as time-restricted eating (TRE) may benefit people with MS by stabilizing the circadian clock and restoring immunological and metabolic rhythms, thus potentially counteracting disease progression. This review provides a summary of selected studies on dietary intervention in MS, circadian rhythms, and their disruption in MS, including clock gene variations, circadian hormones, and retino-hypothalamic tract changes. Furthermore, we present studies that reported diurnal variations in MS, which might result from circadian disruption. And lastly, we suggest how chrononutritive approaches like TRE might counteract MS disease activity.
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Affiliation(s)
- Olga Pivovarova-Ramich
- Research Group Molecular Nutritional Medicine, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Department of Endocrinology, Diabetes and Nutrition, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Hanna Gwendolyn Zimmermann
- Experimental and Clinical Research Center, Max-Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Einstein Center Digital Future, Berlin, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max-Delbrück Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Neurology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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38
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Cerri S, Greve DN, Hoopes A, Lundell H, Siebner HR, Mühlau M, Van Leemput K. An open-source tool for longitudinal whole-brain and white matter lesion segmentation. Neuroimage Clin 2023; 38:103354. [PMID: 36907041 PMCID: PMC10024238 DOI: 10.1016/j.nicl.2023.103354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/10/2023] [Accepted: 02/19/2023] [Indexed: 03/06/2023]
Abstract
In this paper we describe and validate a longitudinal method for whole-brain segmentation of longitudinal MRI scans. It builds upon an existing whole-brain segmentation method that can handle multi-contrast data and robustly analyze images with white matter lesions. This method is here extended with subject-specific latent variables that encourage temporal consistency between its segmentation results, enabling it to better track subtle morphological changes in dozens of neuroanatomical structures and white matter lesions. We validate the proposed method on multiple datasets of control subjects and patients suffering from Alzheimer's disease and multiple sclerosis, and compare its results against those obtained with its original cross-sectional formulation and two benchmark longitudinal methods. The results indicate that the method attains a higher test-retest reliability, while being more sensitive to longitudinal disease effect differences between patient groups. An implementation is publicly available as part of the open-source neuroimaging package FreeSurfer.
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Affiliation(s)
- Stefano Cerri
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA.
| | - Douglas N Greve
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA; Department of Radiology, Harvard Medical School, USA
| | - Andrew Hoopes
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA
| | - Henrik Lundell
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg and Frederiksberg, Copenhagen, Denmark; Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Denmark
| | - Mark Mühlau
- Department of Neurology and TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Germany
| | - Koen Van Leemput
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA; Department of Health Technology, Technical University of Denmark, Denmark
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39
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Calvi A, Clarke MA, Prados F, Chard D, Ciccarelli O, Alberich M, Pareto D, Rodríguez Barranco M, Sastre-Garriga J, Tur C, Rovira A, Barkhof F. Relationship between paramagnetic rim lesions and slowly expanding lesions in multiple sclerosis. Mult Scler 2023; 29:352-362. [PMID: 36515487 PMCID: PMC9972234 DOI: 10.1177/13524585221141964] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Magnetic resonance imaging (MRI) markers for chronic active lesions in MS include slowly expanding lesions (SELs) and paramagnetic rim lesions (PRLs). OBJECTIVES To identify the relationship between SELs and PRLs in MS, and their association with disability. METHODS 61 people with MS (pwMS) followed retrospectively with MRI including baseline susceptibility-weighted imaging, and longitudinal T1 and T2-weighted scans. SELs were computed using deformation field maps; PRLs were visually identified. Mixed-effects models assessed differences in Expanded Disability Status Scale (EDSS) score changes between the group defined by the presence of SELs and or PRLs. RESULTS The median follow-up time was 3.2 years. At baseline, out of 1492 lesions, 616 were classified as SELs, and 80 as PRLs. 92% of patients had ⩾ 1 SEL, 56% had ⩾ 1 PRL, while both were found in 51%. SELs compared to non-SELs were more likely to also be PRLs (7% vs. 4%, p = 0.027). PRL counts positively correlated with SEL counts (ρ= 0.28, p = 0.03). SEL + PRL + patients had greater increases in EDSS over time (beta = 0.15/year, 95% confidence interval (0.04, 0.27), p = 0.009) than SEL+PRL-patients. CONCLUSION SELs are more numerous than PRLs in pwMS. Compared with either SELs or PRLs found in isolation, their joint occurrence was associated with greater clinical progression.
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Affiliation(s)
- Alberto Calvi
- A Calvi Queen Square MS Centre, Department
of Neuroinflammation, Institute of Neurology, Faculty of Brain Sciences,
University College London (UCL), London, WC1B 5 EH, UK.
| | | | - Ferran Prados
- Queen Square MS Centre, Department of
Neuroinflammation, Institute of Neurology, Faculty of Brain Sciences,
University College London (UCL), London UK/Centre for Medical Image
Computing (CMIC), Department of Medical Physics and Biomedical Engineering,
University College London, London, UK/e-Health Centre, Universitat Oberta de
Catalunya, Barcelona, Spain
| | - Declan Chard
- Queen Square MS Centre, Department of
Neuroinflammation, Institute of Neurology, Faculty of Brain Sciences,
University College London (UCL), London, UK/Biomedical Research Centre,
National Institute for Health Research (NIHR) and University College London
Hospitals (UCLH), London, UK
| | - Olga Ciccarelli
- Queen Square MS Centre, Department of
Neuroinflammation, Institute of Neurology, Faculty of Brain Sciences,
University College London (UCL), London, UK/Biomedical Research Centre,
National Institute for Health Research (NIHR) and University College London
Hospitals (UCLH), London, UK
| | - Manel Alberich
- Section of Neuroradiology, Department of
Radiology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de
Barcelona, Barcelona, Spain
| | - Deborah Pareto
- Section of Neuroradiology, Department of
Radiology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de
Barcelona, Barcelona, Spain
| | - Marta Rodríguez Barranco
- Neurology-Neuroimmunology Department, Multiple
Sclerosis Centre of Catalonia (CEMCAT), Vall d’Hebron Barcelona Hospital
Campus, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Neurology-Neuroimmunology Department, Multiple
Sclerosis Centre of Catalonia (CEMCAT), Vall d’Hebron Barcelona Hospital
Campus, Barcelona, Spain
| | - Carmen Tur
- Queen Square MS Centre, Department of
Neuroinflammation, Institute of Neurology, Faculty of Brain Sciences,
University College London (UCL), London, UK/Neurology-Neuroimmunology
Department, Multiple Sclerosis Centre of Catalonia (CEMCAT), Vall d’Hebron
Barcelona Hospital Campus, Barcelona, Spain
| | - Alex Rovira
- Section of Neuroradiology, Department of
Radiology, Hospital Universitari Vall d’Hebron, Universitat Autònoma de
Barcelona, Barcelona, Spain
| | - Frederik Barkhof
- Queen Square MS Centre, Department of
Neuroinflammation, Institute of Neurology, Faculty of Brain Sciences,
University College London (UCL), London, UK/Centre for Medical Image
Computing (CMIC), Department of Medical Physics and Biomedical Engineering,
University College London, London, UK Biomedical Research Centre, National
Institute for Health Research (NIHR) and University College London Hospitals
(UCLH), London, UK/Radiology & Nuclear medicine, VU University Medical
Centre, Amsterdam, The Netherlands
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40
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Recent Progress in the Identification of Early Transition Biomarkers from Relapsing-Remitting to Progressive Multiple Sclerosis. Int J Mol Sci 2023; 24:ijms24054375. [PMID: 36901807 PMCID: PMC10002756 DOI: 10.3390/ijms24054375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/12/2023] [Accepted: 02/15/2023] [Indexed: 02/25/2023] Open
Abstract
Despite extensive research into the pathophysiology of multiple sclerosis (MS) and recent developments in potent disease-modifying therapies (DMTs), two-thirds of relapsing-remitting MS patients transition to progressive MS (PMS). The main pathogenic mechanism in PMS is represented not by inflammation but by neurodegeneration, which leads to irreversible neurological disability. For this reason, this transition represents a critical factor for the long-term prognosis. Currently, the diagnosis of PMS can only be established retrospectively based on the progressive worsening of the disability over a period of at least 6 months. In some cases, the diagnosis of PMS is delayed for up to 3 years. With the approval of highly effective DMTs, some with proven effects on neurodegeneration, there is an urgent need for reliable biomarkers to identify this transition phase early and to select patients at a high risk of conversion to PMS. The purpose of this review is to discuss the progress made in the last decade in an attempt to find such a biomarker in the molecular field (serum and cerebrospinal fluid) between the magnetic resonance imaging parameters and optical coherence tomography measures.
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41
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Advances in Neurodegenerative Diseases. J Clin Med 2023; 12:jcm12051709. [PMID: 36902495 PMCID: PMC10002914 DOI: 10.3390/jcm12051709] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 02/15/2023] [Indexed: 02/25/2023] Open
Abstract
Neurological disorders are the leading cause of physical and cognitive disability across the globe, currently affecting approximately 15% of the worldwide population [...].
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42
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La Rosa F, Wynen M, Al-Louzi O, Beck ES, Huelnhagen T, Maggi P, Thiran JP, Kober T, Shinohara RT, Sati P, Reich DS, Granziera C, Absinta M, Bach Cuadra M. Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues. Neuroimage Clin 2022; 36:103205. [PMID: 36201950 PMCID: PMC9668629 DOI: 10.1016/j.nicl.2022.103205] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 09/09/2022] [Accepted: 09/16/2022] [Indexed: 12/14/2022]
Abstract
The current diagnostic criteria for multiple sclerosis (MS) lack specificity, and this may lead to misdiagnosis, which remains an issue in present-day clinical practice. In addition, conventional biomarkers only moderately correlate with MS disease progression. Recently, some MS lesional imaging biomarkers such as cortical lesions (CL), the central vein sign (CVS), and paramagnetic rim lesions (PRL), visible in specialized magnetic resonance imaging (MRI) sequences, have shown higher specificity in differential diagnosis. Moreover, studies have shown that CL and PRL are potential prognostic biomarkers, the former correlating with cognitive impairments and the latter with early disability progression. As machine learning-based methods have achieved extraordinary performance in the assessment of conventional imaging biomarkers, such as white matter lesion segmentation, several automated or semi-automated methods have been proposed as well for CL, PRL, and CVS. In the present review, we first introduce these MS biomarkers and their imaging methods. Subsequently, we describe the corresponding machine learning-based methods that were proposed to tackle these clinical questions, putting them into context with respect to the challenges they are facing, including non-standardized MRI protocols, limited datasets, and moderate inter-rater variability. We conclude by presenting the current limitations that prevent their broader deployment and suggesting future research directions.
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Key Words
- ms, multiple sclerosis
- mri, magnetic resonance imaging
- dl, deep learning
- ml, machine learning
- cl, cortical lesions
- prl, paramagnetic rim lesions
- cvs, central vein sign
- wml, white matter lesions
- flair, fluid-attenuated inversion recovery
- mprage, magnetization prepared rapid gradient-echo
- gm, gray matter
- wm, white matter
- psir, phase-sensitive inversion recovery
- dir, double inversion recovery
- mp2rage, magnetization-prepared 2 rapid gradient echoes
- sels, slowly evolving/expanding lesions
- cnn, convolutional neural network
- xai, explainable ai
- pv, partial volume
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Affiliation(s)
- Francesco La Rosa
- Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Switzerland; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Maxence Wynen
- CIBM Center for Biomedical Imaging, Switzerland; ICTeam, UCLouvain, Louvain-la-Neuve, Belgium; Louvain Inflammation Imaging Lab (NIL), Institute of Neuroscience (IoNS), UCLouvain, Brussels, Belgium; Radiology Department, Lausanne University and University Hospital, Switzerland
| | - Omar Al-Louzi
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Erin S Beck
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Till Huelnhagen
- Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; Radiology Department, Lausanne University and University Hospital, Switzerland; Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland
| | - Pietro Maggi
- Louvain Inflammation Imaging Lab (NIL), Institute of Neuroscience (IoNS), UCLouvain, Brussels, Belgium; Department of Neurology, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium; Department of Neurology, CHUV, Lausanne, Switzerland
| | - Jean-Philippe Thiran
- Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; CIBM Center for Biomedical Imaging, Switzerland; Radiology Department, Lausanne University and University Hospital, Switzerland
| | - Tobias Kober
- Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland; Radiology Department, Lausanne University and University Hospital, Switzerland; Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland
| | - Russell T Shinohara
- Center for Biomedical Image Computing and Analysis (CBICA), Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Pascal Sati
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - Cristina Granziera
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Switzerland; Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Martina Absinta
- IRCCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Meritxell Bach Cuadra
- CIBM Center for Biomedical Imaging, Switzerland; Radiology Department, Lausanne University and University Hospital, Switzerland
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43
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Torres JB, Roodselaar J, Sealey M, Ziehn M, Bigaud M, Kneuer R, Leppert D, Weckbecker G, Cornelissen B, Anthony DC. Distribution and efficacy of ofatumumab and ocrelizumab in humanized CD20 mice following subcutaneous or intravenous administration. Front Immunol 2022; 13:814064. [PMID: 35967378 PMCID: PMC9366925 DOI: 10.3389/fimmu.2022.814064] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 06/27/2022] [Indexed: 11/13/2022] Open
Abstract
Approval of B-cell-depleting therapies signifies an important advance in the treatment of multiple sclerosis (MS). However, it is unclear whether the administration route of anti-CD20 monoclonal antibodies (mAbs) alters tissue distribution patterns and subsequent downstream effects. This study aimed to investigate the distribution and efficacy of radiolabeled ofatumumab and ocrelizumab in humanized-CD20 (huCD20) transgenic mice following subcutaneous (SC) and intravenous (IV) administration. For distribution analysis, huCD20 and wildtype mice (n = 5 per group) were imaged by single-photon emission computed tomography (SPECT)/CT 72 h after SC/IV administration of ofatumumab or SC/IV administration of ocrelizumab, radiolabeled with Indium-111 (111In-ofatumumab or 111In-ocrelizumab; 5 µg, 5 MBq). For efficacy analysis, huCD20 mice with focal delayed-type hypersensitivity lesions and associated tertiary lymphoid structures (DTH-TLS) were administered SC/IV ofatumumab or SC/IV ocrelizumab (7.5 mg/kg, n = 10 per group) on Days 63, 70 and 75 post lesion induction. Treatment impact on the number of CD19+ cells in select tissues and the evolution of DTH-TLS lesions in the brain were assessed. Uptake of an 111In-labelled anti-CD19 antibody in cervical and axillary lymph nodes was also assessed before and 18 days after treatment initiation as a measure of B-cell depletion. SPECT/CT image quantification revealed similar tissue distribution, albeit with large differences in blood signal, of 111In-ofatumumab and 111In-ocrelizumab following SC and IV administration; however, an increase in both mAbs was observed in the axillary and inguinal lymph nodes following SC versus IV administration. In the DTH-TLS model of MS, both treatments significantly reduced the 111In-anti-CD19 signal and number of CD19+ cells in select tissues, where no differences between the route of administration or mAb were observed. Both treatments significantly decreased the extent of glial activation, as well as the number of B- and T-cells in the lesion following SC and IV administration, although this was mostly achieved to a greater extent with ofatumumab versus ocrelizumab. These findings suggest that there may be more direct access to the lymph nodes through the lymphatic system with SC versus IV administration. Furthermore, preliminary findings suggest that ofatumumab may be more effective than ocrelizumab at controlling MS-like pathology in the brain.
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Affiliation(s)
| | - Jay Roodselaar
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | - Megan Sealey
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | | | - Marc Bigaud
- Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - Rainer Kneuer
- Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - David Leppert
- Department of Neurology, University Hospital Basel, Basel, Switzerland
| | | | - Bart Cornelissen
- Department of Oncology, University of Oxford, Oxford, United Kingdom
| | - Daniel C. Anthony
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom
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44
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Collongues N, Becker G, Jolivel V, Ayme-Dietrich E, de Seze J, Binamé F, Patte-Mensah C, Monassier L, Mensah-Nyagan AG. A Narrative Review on Axonal Neuroprotection in Multiple Sclerosis. Neurol Ther 2022; 11:981-1042. [PMID: 35610531 PMCID: PMC9338208 DOI: 10.1007/s40120-022-00363-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/03/2022] [Indexed: 01/08/2023] Open
Abstract
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) resulting in demyelination and neurodegeneration. The therapeutic strategy is now largely based on reducing inflammation with immunosuppressive drugs. Unfortunately, when disease progression is observed, no drug offers neuroprotection apart from its anti-inflammatory effect. In this review, we explore current knowledge on the assessment of neurodegeneration in MS and look at putative targets that might prove useful in protecting the axon from degeneration. Among them, Bruton's tyrosine kinase inhibitors, anti-apoptotic and antioxidant agents, sex hormones, statins, channel blockers, growth factors, and molecules preventing glutamate excitotoxicity have already been studied. Some of them have reached phase III clinical trials and carry a great message of hope for our patients with MS.
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Affiliation(s)
- Nicolas Collongues
- Department of Neurology, University Hospital of Strasbourg, Strasbourg, France. .,Center for Clinical Investigation, INSERM U1434, Strasbourg, France. .,Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France. .,University Department of Pharmacology, Addictology, Toxicology and Therapeutic, Strasbourg University, Strasbourg, France.
| | - Guillaume Becker
- University Department of Pharmacology, Addictology, Toxicology and Therapeutic, Strasbourg University, Strasbourg, France.,NeuroCardiovascular Pharmacology and Toxicology Laboratory, UR7296, University Hospital of Strasbourg, Strasbourg, France
| | - Valérie Jolivel
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
| | - Estelle Ayme-Dietrich
- University Department of Pharmacology, Addictology, Toxicology and Therapeutic, Strasbourg University, Strasbourg, France.,NeuroCardiovascular Pharmacology and Toxicology Laboratory, UR7296, University Hospital of Strasbourg, Strasbourg, France
| | - Jérôme de Seze
- Department of Neurology, University Hospital of Strasbourg, Strasbourg, France.,Center for Clinical Investigation, INSERM U1434, Strasbourg, France.,Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
| | - Fabien Binamé
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
| | - Christine Patte-Mensah
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
| | - Laurent Monassier
- University Department of Pharmacology, Addictology, Toxicology and Therapeutic, Strasbourg University, Strasbourg, France.,NeuroCardiovascular Pharmacology and Toxicology Laboratory, UR7296, University Hospital of Strasbourg, Strasbourg, France
| | - Ayikoé Guy Mensah-Nyagan
- Biopathology of Myelin, Neuroprotection and Therapeutic Strategy, INSERM U1119, Strasbourg, France
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45
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Schneider R, Oh J. Bruton's Tyrosine Kinase Inhibition in Multiple Sclerosis. Curr Neurol Neurosci Rep 2022; 22:721-734. [PMID: 36301434 PMCID: PMC9607648 DOI: 10.1007/s11910-022-01229-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE OF REVIEW Multiple sclerosis (MS) is an inflammatory disease of the central nervous system (CNS) with a chronic and often progressive disease course. The current disease-modifying treatments (DMTs) limit disease progression primarily by dampening immune cell activity in the peripheral blood or hindering their migration from the periphery into the CNS. New therapies are needed to target CNS immunopathology, which is a key driver of disability progression in MS. This article reviews Bruton's Tyrosine Kinase Inhibitors (BTKIs), a new class of experimental therapy that is being intensely evaluated in MS. We focus on the potential peripheral and central mechanisms of action of BTKIs and their use in recent clinical trials in MS. RECENT FINDINGS There is evidence that some BTKIs cross the blood-brain barrier and may be superior to currently available DMTs at dampening the chronic neuroinflammatory processes compartmentalized within the CNS that contribute to progressive worsening in people withMS (pwMS). Recently, evobrutinib and tolebrutinib have shown efficacy in phase II clinical trials, and there are numerous ongoing phase III clinical trials of various BTKIs in relapsing and progressive forms of MS. Results from these clinical trials will be essential to understand the efficacy and safety of BTKIs across the spectrum of MS and keydifferences between specific BTKIs when treating pwMS. Inhibition of BTK has emerged as an attractive strategy to target cells of the adaptive and innate immune system outside and within the CNS. BTKIs carry great therapeutic potential across the MS spectrum, where key pathobiology aspects seem confined to the CNS compartment.
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Affiliation(s)
- Raphael Schneider
- Division of Neurology, Department of Medicine, St Michael’s Hospital, Unity Health, University of Toronto, 30 Bond St, PGT 17-742, Toronto, ON M5B 1W8 Canada ,Institute of Medical Science, University of Toronto, Toronto, ON Canada
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, St Michael’s Hospital, Unity Health, University of Toronto, 30 Bond St, PGT 17-742, Toronto, ON M5B 1W8 Canada ,Institute of Medical Science, University of Toronto, Toronto, ON Canada
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