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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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Borrelli S, Guisset F, Vanden Bulcke C, Stölting A, Bugli C, Lolli V, Du Pasquier R, van Pesch V, Absinta M, Pasi M, Maggi P. Enlarged perivascular spaces are associated with brain microangiopathy and aging in multiple sclerosis. Mult Scler 2024; 30:983-993. [PMID: 38850029 DOI: 10.1177/13524585241256881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
BACKGROUND Growing evidence links brain-MRI enlarged perivascular spaces (EPVS) and multiple sclerosis (MS), but their role remains unclear. OBJECTIVE This study aimed to investigate the cross-sectional associations of EPVS with several neuroinflammatory and neurodegenerative features in a large multicentric-MS cohort. METHODS In total, 207 patients underwent 3T axial-T2-weighted brain-MRI for EPVS assessment (EPVS dichotomized into high/low according to ⩾ 2/< 2 rating categories). MRI biomarkers included brain-predicted age and brain-predicted age difference (brain-PAD), central vein sign (CVS)-positive lesion percentage (CVS%), paramagnetic rim and cortical lesions, T2-lesion load, and brain volumetry. The variable relative importance for EPVS-category prediction was explored using a classification random forest approach. RESULTS High EPVS patients were older (49 vs 44 years, p = 0.003), had ⩾ 1 vascular risk factors (VRFs; p = 0.005), lower CVS% (67% vs 78%, p < 0.001), reduced brain volumes (whole brain: 0.63 vs 0.73, p = 0.01; gray matter: 0.36 vs 0.40; p = 0.002), and older brain-predicted age (58 vs 50 years, p < 0.001). No differences were found for neuroinflammatory markers. After adjusting for age and VFRs (multivariate analyses), the high EPVS category correlated with lower CVS% (odds ratio (OR) = 0.98, 95% confidence interval (CI) = 0.96-0.99; p = 0.02), lower whole brain (OR = 0.01, 95% CI = 0.0003-0.5; p = 0.02), gray matter (OR = 0.0004, 95% CI = 0.0000004-0.4; p = 0.03) volumes, and higher brain-PAD (OR = 1.05, 95% CI = 1.01-1.09; p = 0.02). Random forest identified brain-PAD as the most important predictor of high EPVS. CONCLUSION EPVS in MS likely reflect microangiopathic disease rather than neuroinflammation, potentially contributing to accelerated neurodegeneration.
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Affiliation(s)
- Serena Borrelli
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium/Department of Neurology, Hôpital Erasme, Hôpital Universitaire de Bruxelles, Université Libre de Brussels, Brussels, Belgium
| | - François Guisset
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium
| | - Colin Vanden Bulcke
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium/ICTEAM Institute, Université catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Anna Stölting
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium
| | - Céline Bugli
- Plateforme technologique de Support en Méthodologie et Calcul Statistique, Université catholique de Louvain, Brussels, Belgium
| | - Valentina Lolli
- Department of Radiology, Hôpital Erasme, Hôpital Universitaire de Bruxelles, Université Libre de Brussels, Brussels, Belgium
| | - Renaud Du Pasquier
- Neurology Service, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland
| | - Vincent van Pesch
- Department of Neurology, Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
| | - Martina Absinta
- Vita-Salute San Raffaele University, Milan, Italy/Translational Neuropathology Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marco Pasi
- Stroke Unit, Department of Neurology, CIC-IT 1415, CHRU de Tours, INSERM 1253 iBrain, Tours, France
| | - Pietro Maggi
- Neuroinflammation Imaging Lab (NIL), Institute of NeuroScience, Université catholique de Louvain, Brussels, Belgium/Neurology Service, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, University of Lausanne, Lausanne, Switzerland/Department of Neurology, Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
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3
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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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4
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Menascu S, Halusková S, Pollak A, Ryska P, Angelucci F, Magalashvili D, Guber D, Yosef A, Kalron A, Valis M, Gurevich M. Clinical correlation between disease progression and central vein sign in pediatric onset multiple sclerosis: A binational study. Eur J Paediatr Neurol 2024; 50:81-85. [PMID: 38705014 DOI: 10.1016/j.ejpn.2024.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 03/23/2024] [Accepted: 04/17/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND The central vein sign (CVS) has been proposed as a novel MRI biomarker to improve diagnosis of pediatric-onset MS (POMS). However, the role of CVS in POMS progression has yet to be discovered. OBJECTIVES To investigate the appearance of CVS and its correlation with POMS disease progression. METHODS One hundred fifty-six POMS from two MS centers in Israel and Czech Republic MS centers were followed for five years. Patient assessment was performed by the Expanded Disability Status Scale (EDSS) and Annual Relapse Rate (ARR). Patients in whom at least 40 % of brain MRI lesions had CVS ("rule of 40") were determined as CVS-positive. RESULTS The total group of POMS consisted of 96 CVS-negative (61.5 %), aged 14.6 ± 1.9 years, EDSS 2.0, 75 % Interquartile Range (IQR) 1.0-3.0, disease duration (DD) 6.28 ± 0.38 years, and 60 CVS-positive (38.5 %), aged 15.1 ± 0.3 years, EDSS 2.0, IQR 1.5-3.0, DD 5.62 ± 0.13 years, were analyzed. After a three and five-year follow-up, the CVS-positive patients had higher EDSS scores than those who were CVS-negative, 2.0, IQR 1.0-2.5, vs 1.0, IQR 1.0-2.0, (p = 0.009) and 2.0, IQR 1.0-3.25 vs 1.0, IQR 1.0-2.0, (p = 0.0003), respectively. Patients with CVS-positive POMS were characterized by a significantly higher ARR (0.78 ± 0.08 vs 0.57 ± 0.04, p = 0.002). These results were confirmed in subgroups of Disease Modifying Treatments (DMT) untreated and treated patients. CONCLUSION CVS-positive POMS is characterized by higher disability progression than CVS-negative, indicating the importance of CVS in disease pathogenesis.
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Affiliation(s)
- Shay Menascu
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel; Faculty of Medical and Health Sciences, Tel-Aviv University, Israel.
| | - Simona Halusková
- Charles University, Faculty of Medicine in Hradec Králové, Hradec Králové, Czech Republic. Department of Neurology, Faculty of Health Studies, Pardubice University and Pardubice Hospital, Pardubice, Czech Republic.
| | - Amir Pollak
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel; Faculty of Medical and Health Sciences, Tel-Aviv University, Israel.
| | - Pavel Ryska
- Department of Radiology, University Hospital Hradec Králové, Hradec Králové, Czech Republic.
| | - Francesco Angelucci
- Department of Neurology, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, Prague, Czech Republic and International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic.
| | - David Magalashvili
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel; Faculty of Medical and Health Sciences, Tel-Aviv University, Israel.
| | - Diana Guber
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel; Faculty of Medical and Health Sciences, Tel-Aviv University, Israel.
| | - Arthur Yosef
- Tel Aviv-Yaffo Academic College, Tel-Aviv, Israel.
| | - Alon Kalron
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel; Faculty of Medical and Health Sciences, Tel-Aviv University, Israel.
| | - Martin Valis
- Research Institute for Biomedical Science, Hradec Králové, Czech Republic. International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic.
| | - Michael Gurevich
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel; Faculty of Medical and Health Sciences, Tel-Aviv University, Israel.
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Nguyen P, Rempe T, Forghani R. Multiple Sclerosis: Clinical Update and Clinically-Oriented Radiologic Reporting. Magn Reson Imaging Clin N Am 2024; 32:363-374. [PMID: 38555146 DOI: 10.1016/j.mric.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Multiple sclerosis (MS) is a chronic inflammatory disease of the nervous system. MR imaging findings play an integral part in establishing diagnostic hallmarks of the disease during initial diagnosis and evaluating disease status. Multiple iterations of diagnostic criteria and consensus guidelines are put forth by various expert groups incorporating imaging of the brain and spine, and efforts have been made to standardize imaging protocols for MS. Emerging ancillary imaging findings have also attracted increasing interests and should be sought for on radiologic examination. In this paper, the authors review the clinical guidelines and approach to imaging of MS and related disorders, focusing on clinically impactful image interpretation and MR imaging reporting.
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Affiliation(s)
- Phuong Nguyen
- Department of Radiology, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL 32610-0374, USA
| | - Torge Rempe
- Department of Neurology, University of Florida College of Medicine, Norman Fixel Institute for Neurological Diseases, 3009 SW Williston Road, Gainesville, FL 32608, USA
| | - Reza Forghani
- Department of Radiology, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL 32610-0374, USA; Division of Movement Disorders, Department of Neurology, University of Florida College of Medicine, Norman Fixel Institute for Neurological Diseases, 3009 SW Williston Road, Gainesville, FL 32608, USA; Division of Medical Physics, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, FL 32610-0374, USA; Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, Room 221.1, 3011 SW Williston Road, Gainesville, FL 32608, USA.
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6
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Luchicchi A, Muñoz‐Gonzalez G, Halperin ST, Strijbis E, van Dijk LHM, Foutiadou C, Uriac F, Bouman PM, Schouten MAN, Plemel J, 't Hart BA, Geurts JJG, Schenk GJ. Micro-diffusely abnormal white matter: An early multiple sclerosis lesion phase with intensified myelin blistering. Ann Clin Transl Neurol 2024; 11:973-988. [PMID: 38425098 PMCID: PMC11021636 DOI: 10.1002/acn3.52015] [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: 11/20/2023] [Revised: 01/03/2024] [Accepted: 01/25/2024] [Indexed: 03/02/2024] Open
Abstract
OBJECTIVE Multiple sclerosis (MS) is a chronic central nervous system disease whose white matter lesion origin remains debated. Recently, we reported subtle changes in the MS normal appearing white matter (NAWM), presenting with an increase in myelin blisters and myelin protein citrullination, which may recapitulate some of the prodromal degenerative processes involved in MS pathogenesis. Here, to clarify the relevance of these changes for subsequent MS myelin degeneration we explored their prevalence in WM regions characterized by subtly reduced myelination (dubbed as micro-diffusely abnormal white matter, mDAWM). METHODS We used an in-depth (immuno)histochemistry approach in 27 MS donors with histological presence of mDAWM and 5 controls. An antibody panel against degenerative markers was combined and the presence of myelin/axonal aberrations was analyzed and compared with the NAWM from the same cases/slices/regions. RESULTS mDAWM-defined areas exhibit ill-defined borders, no signs of Wallerian degeneration, and they associate with visible veins. Remarkably, such areas present with augmented myelin blister frequency, enhanced prevalence of polar myelin phospholipids, citrullination, and degradation of myelin basic protein (MBP) when compared with the NAWM. Furthermore, enhanced reactivity of microglia/macrophages against citrullinated MBP was also observed in this tissue. INTERPRETATION We report a new histologically defined early phase in MS lesion formation, namely mDAWM, which lacks signs of Wallerian pathology. These results support the prelesional nature of the mDAWM. We conceptualize that evolution to pathologically evident lesions comprises the previously documented imbalance of axo-myelinic units (myelin blistering) leading to their degeneration and immune system activation by released myelin components.
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Affiliation(s)
- Antonio Luchicchi
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
- MS Centrum Amsterdam, Amsterdam University Medical Centers, location VU Medical CenterAmsterdamthe Netherlands
| | - Gema Muñoz‐Gonzalez
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
- MS Centrum Amsterdam, Amsterdam University Medical Centers, location VU Medical CenterAmsterdamthe Netherlands
| | - Saar T. Halperin
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
- MS Centrum Amsterdam, Amsterdam University Medical Centers, location VU Medical CenterAmsterdamthe Netherlands
| | - Eva Strijbis
- MS Centrum Amsterdam, Amsterdam University Medical Centers, location VU Medical CenterAmsterdamthe Netherlands
- Department of NeurologyAmsterdam University Medical Centers, location VU Medical CenterAmsterdamthe Netherlands
| | - Laura H. M. van Dijk
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Chrisa Foutiadou
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Florence Uriac
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
| | - Piet M. Bouman
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
- MS Centrum Amsterdam, Amsterdam University Medical Centers, location VU Medical CenterAmsterdamthe Netherlands
| | - Maxime A. N. Schouten
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
- MS Centrum Amsterdam, Amsterdam University Medical Centers, location VU Medical CenterAmsterdamthe Netherlands
| | - Jason Plemel
- Department of NeuroscienceUniversity of AlbertaEdmontonAlbertaCanada
| | - Bert A. 't Hart
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
- MS Centrum Amsterdam, Amsterdam University Medical Centers, location VU Medical CenterAmsterdamthe Netherlands
| | - Jeroen J. G. Geurts
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
- MS Centrum Amsterdam, Amsterdam University Medical Centers, location VU Medical CenterAmsterdamthe Netherlands
| | - Geert J. Schenk
- Department of Anatomy and NeurosciencesAmsterdam University Medical Centers, location VU Medical Center, Amsterdam NeuroscienceAmsterdamthe Netherlands
- MS Centrum Amsterdam, Amsterdam University Medical Centers, location VU Medical CenterAmsterdamthe Netherlands
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7
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van den Bosch AMR, van der Poel M, Fransen NL, Vincenten MCJ, Bobeldijk AM, Jongejan A, Engelenburg HJ, Moerland PD, Smolders J, Huitinga I, Hamann J. Profiling of microglia nodules in multiple sclerosis reveals propensity for lesion formation. Nat Commun 2024; 15:1667. [PMID: 38396116 PMCID: PMC10891081 DOI: 10.1038/s41467-024-46068-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
Microglia nodules (HLA-DR+ cell clusters) are associated with brain pathology. In this post-mortem study, we investigated whether they represent the first stage of multiple sclerosis (MS) lesion formation. We show that microglia nodules are associated with more severe MS pathology. Compared to microglia nodules in stroke, those in MS show enhanced expression of genes previously found upregulated in MS lesions. Furthermore, genes associated with lipid metabolism, presence of T and B cells, production of immunoglobulins and cytokines, activation of the complement cascade, and metabolic stress are upregulated in microglia nodules in MS. Compared to stroke, they more frequently phagocytose oxidized phospholipids and possess a more tubular mitochondrial network. Strikingly, in MS, some microglia nodules encapsulate partially demyelinated axons. Taken together, we propose that activation of microglia nodules in MS by cytokines and immunoglobulins, together with phagocytosis of oxidized phospholipids, may lead to a microglia phenotype prone to MS lesion formation.
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Affiliation(s)
- Aletta M R van den Bosch
- Neuroimmunology Research Group, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.
| | - Marlijn van der Poel
- Neuroimmunology Research Group, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Nina L Fransen
- Neuroimmunology Research Group, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Maria C J Vincenten
- Neuroimmunology Research Group, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Anneleen M Bobeldijk
- Neuroimmunology Research Group, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Aldo Jongejan
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Hendrik J Engelenburg
- Neuroimmunology Research Group, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Perry D Moerland
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Joost Smolders
- Neuroimmunology Research Group, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- MS Center ErasMS, Department of Neurology and Immunology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Inge Huitinga
- Neuroimmunology Research Group, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.
| | - Jörg Hamann
- Neuroimmunology Research Group, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands.
- Department of Experimental Immunology, Amsterdam Institute for Infection and Immunity, Amsterdam University Medical Center, Amsterdam, The Netherlands.
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Chertcoff A, Schneider R, Azevedo CJ, Sicotte N, Oh J. Recent Advances in Diagnostic, Prognostic, and Disease-Monitoring Biomarkers in Multiple Sclerosis. Neurol Clin 2024; 42:15-38. [PMID: 37980112 DOI: 10.1016/j.ncl.2023.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2023]
Abstract
Multiple sclerosis (MS) is a highly heterogeneous disease. Currently, a combination of clinical features, MRI, and cerebrospinal fluid markers are used in clinical practice for diagnosis and treatment decisions. In recent years, there has been considerable effort to develop novel biomarkers that better reflect the pathologic substrates of the disease to aid in diagnosis and early prognosis, evaluation of ongoing inflammatory activity, detection and monitoring of disease progression, prediction of treatment response, and monitoring of disease-modifying treatment safety. In this review, the authors provide an overview of promising recent developments in diagnostic, prognostic, and disease-monitoring/treatment-response biomarkers in MS.
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Affiliation(s)
- Anibal Chertcoff
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, 30 Bond Street, PGT 17-742, Toronto, Ontario M5B 1W8, Canada
| | - Raphael Schneider
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, 30 Bond Street, PGT 17-742, Toronto, Ontario M5B 1W8, Canada
| | - Christina J Azevedo
- Department of Neurology, Keck School of Medicine, University of Southern California, HCT 1520 San Pablo Street, Health Sciences Campus, Los Angeles, CA 90033, USA
| | - Nancy Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, 127 S San Vicente Boulevard, 6th floor, Suite A6600, Los Angeles, CA 90048, USA
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, 30 Bond Street, PGT 17-742, Toronto, Ontario M5B 1W8, Canada; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
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9
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Sacco S, Virupakshaiah A, Papinutto N, Schoeps VA, Akula A, Zhao H, Arona J, Stern WA, Chong J, Hart J, Zamvil SS, Sati P, Henry RG, Waubant E. Susceptibility-based imaging aids accurate distinction of pediatric-onset MS from myelin oligodendrocyte glycoprotein antibody-associated disease. Mult Scler 2023; 29:1736-1747. [PMID: 37897254 PMCID: PMC10687802 DOI: 10.1177/13524585231204414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/07/2023] [Accepted: 09/13/2023] [Indexed: 10/30/2023]
Abstract
BACKGROUND Myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD) and pediatric-onset multiple sclerosis (POMS) share clinical and magnetic resonance imaging (MRI) features but differ in prognosis and management. Early POMS diagnosis is essential to avoid disability accumulation. Central vein sign (CVS), paramagnetic rim lesions (PRLs), and central core lesions (CCLs) are susceptibility-based imaging (SbI)-related signs understudied in pediatric populations that may help discerning POMS from MOGAD. METHODS T2-FLAIR and SbI (three-dimensional echoplanar imaging (3D-EPI)/susceptibility-weighted imaging (SWI) or similar) were acquired on 1.5T/3T scanners. Two readers assessed CVS-positive rate (%CVS+), and their average score was used to build a receiver operator curve (ROC) assessing the ability to discriminate disease type. PRLs and CCLs were identified using a consensual approach. RESULTS The %CVS+ distinguished 26 POMS cases (mean age 13.7 years, 63% females, median EDSS 1.5) from 14 MOGAD cases (10.8 years, 35% females, EDSS 1.0) with ROC = 1, p < 0.0001, (cutoff 41%). PRLs were only detectable in POMS participants (mean 2.1±2.3, range 1-10), discriminating the two conditions with a sensitivity of 69% and a specificity of 100%. CCLs were more sensitive (81%) but less specific (71.43%). CONCLUSION The %CVS+ and PRLs are highly specific markers of POMS. After proper validation on larger multicenter cohorts, consideration should be given to including such imaging markers for diagnosing POMS at disease onset.
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Affiliation(s)
- Simone Sacco
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Akash Virupakshaiah
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Nico Papinutto
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Vinicius A Schoeps
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Amit Akula
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Haojun Zhao
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Jennifer Arona
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - William A Stern
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Janet Chong
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Janace Hart
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Scott S Zamvil
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Pascal Sati
- Neuroimaging Program, Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Roland G Henry
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Emmanuelle Waubant
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
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10
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Wakid M, Almeida D, Aouabed Z, Rahimian R, Davoli MA, Yerko V, Leonova-Erko E, Richard V, Zahedi R, Borchers C, Turecki G, Mechawar N. Universal method for the isolation of microvessels from frozen brain tissue: A proof-of-concept multiomic investigation of the neurovasculature. Brain Behav Immun Health 2023; 34:100684. [PMID: 37822873 PMCID: PMC10562768 DOI: 10.1016/j.bbih.2023.100684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/29/2023] [Accepted: 09/06/2023] [Indexed: 10/13/2023] Open
Abstract
The neurovascular unit, comprised of vascular cell types that collectively regulate cerebral blood flow to meet the needs of coupled neurons, is paramount for the proper function of the central nervous system. The neurovascular unit gatekeeps blood-brain barrier properties, which experiences impairment in several central nervous system diseases associated with neuroinflammation and contributes to pathogenesis. To better understand function and dysfunction at the neurovascular unit and how it may confer inflammatory processes within the brain, isolation and characterization of the neurovascular unit is needed. Here, we describe a singular, standardized protocol to enrich and isolate microvessels from archived snap-frozen human and frozen mouse cerebral cortex using mechanical homogenization and centrifugation-separation that preserves the structural integrity and multicellular composition of microvessel fragments. For the first time, microvessels are isolated from postmortem ventromedial prefrontal cortex tissue and are comprehensively investigated as a structural unit using both RNA sequencing and Liquid Chromatography with tandem mass spectrometry (LC-MS/MS). Both the transcriptome and proteome are obtained and compared, demonstrating that the isolated brain microvessel is a robust model for the NVU and can be used to generate highly informative datasets in both physiological and disease contexts.
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Affiliation(s)
- Marina Wakid
- McGill Group for Suicide Studies, Douglas Research Centre, Montréal, Quebec, Canada
- Integrated Program in Neuroscience, McGill University, Montréal, Quebec, Canada
| | - Daniel Almeida
- McGill Group for Suicide Studies, Douglas Research Centre, Montréal, Quebec, Canada
- Integrated Program in Neuroscience, McGill University, Montréal, Quebec, Canada
| | - Zahia Aouabed
- McGill Group for Suicide Studies, Douglas Research Centre, Montréal, Quebec, Canada
| | - Reza Rahimian
- McGill Group for Suicide Studies, Douglas Research Centre, Montréal, Quebec, Canada
| | | | - Volodymyr Yerko
- McGill Group for Suicide Studies, Douglas Research Centre, Montréal, Quebec, Canada
| | - Elena Leonova-Erko
- McGill Group for Suicide Studies, Douglas Research Centre, Montréal, Quebec, Canada
| | - Vincent Richard
- Segal Cancer Proteomics Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, Quebec, Canada
| | - René Zahedi
- Segal Cancer Proteomics Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, Quebec, Canada
| | - Christoph Borchers
- Segal Cancer Proteomics Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, Quebec, Canada
| | - Gustavo Turecki
- McGill Group for Suicide Studies, Douglas Research Centre, Montréal, Quebec, Canada
- Integrated Program in Neuroscience, McGill University, Montréal, Quebec, Canada
- Department of Psychiatry, McGill University, Montréal, Quebec, Canada
| | - Naguib Mechawar
- McGill Group for Suicide Studies, Douglas Research Centre, Montréal, Quebec, Canada
- Integrated Program in Neuroscience, McGill University, Montréal, Quebec, Canada
- Department of Psychiatry, McGill University, Montréal, Quebec, Canada
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11
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Pontillo G, Cocozza S. The rising role of magnetic resonance imaging biomarkers in diagnosing multiple sclerosis. Eur Radiol 2023; 33:8043-8045. [PMID: 37191920 DOI: 10.1007/s00330-023-09738-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/03/2023] [Accepted: 05/08/2023] [Indexed: 05/17/2023]
Affiliation(s)
- Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University "Federico II", Naples, Italy
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University "Federico II", Naples, Italy.
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12
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Lin JP, Brake A, Donadieu M, Lee A, Kawaguchi R, Sati P, Geschwind DH, Jacobson S, Schafer DP, Reich DS. A 4D transcriptomic map for the evolution of multiple sclerosis-like lesions in the marmoset brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.25.559371. [PMID: 37808784 PMCID: PMC10557631 DOI: 10.1101/2023.09.25.559371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Single-time-point histopathological studies on postmortem multiple sclerosis (MS) tissue fail to capture lesion evolution dynamics, posing challenges for therapy development targeting development and repair of focal inflammatory demyelination. To close this gap, we studied experimental autoimmune encephalitis (EAE) in the common marmoset, the most faithful animal model of these processes. Using MRI-informed RNA profiling, we analyzed ~600,000 single-nucleus and ~55,000 spatial transcriptomes, comparing them against EAE inoculation status, longitudinal radiological signals, and histopathological features. We categorized 5 groups of microenvironments pertinent to neural function, immune and glial responses, tissue destruction and repair, and regulatory network at brain borders. Exploring perilesional microenvironment diversity, we uncovered central roles of EAE-associated astrocytes, oligodendrocyte precursor cells, and ependyma in lesion formation and resolution. We pinpointed imaging and molecular features capturing the pathological trajectory of WM, offering potential for assessing treatment outcomes using marmoset as a platform.
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Affiliation(s)
- Jing-Ping Lin
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Alexis Brake
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Maxime Donadieu
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Amanda Lee
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Riki Kawaguchi
- Departments of Neurology and Human Genetics, University of California, Los Angeles, Los Angeles, CA
| | - Pascal Sati
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
- Department of Neurology, Cedars Sinai Medical Center, Los Angeles, CA
| | - Daniel H Geschwind
- Departments of Neurology and Human Genetics, University of California, Los Angeles, Los Angeles, CA
- Psychiatry, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Steven Jacobson
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
| | - Dorothy P Schafer
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD
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13
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Abou Mrad T, Naja K, Khoury SJ, Hannoun S. Central vein sign and paramagnetic rim sign: From radiologically isolated syndrome to multiple sclerosis. Eur J Neurol 2023; 30:2912-2918. [PMID: 37350369 DOI: 10.1111/ene.15922] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 06/02/2023] [Accepted: 06/07/2023] [Indexed: 06/24/2023]
Abstract
The widespread use of magnetic resonance imaging (MRI) has led to an increase in incidental findings in the central nervous system. Radiologically isolated syndrome (RIS) is a condition where imaging reveals lesions suggestive of demyelinating disease without any clinical episodes consistent with multiple sclerosis (MS). The prognosis for RIS patients is uncertain, with some remaining asymptomatic while others progress to MS. Several risk factors for disease progression have been identified, including male sex, younger age at diagnosis, and spinal cord lesions. This article reviews two promising biomarkers, the central vein sign (CVS) and the paramagnetic rim sign (PRS), and their potential role in the diagnosis and prognosis of MS and RIS. Both CVS and PRS have been shown to be accurate diagnostic markers in MS, with high sensitivity and specificity, and have been useful in distinguishing MS from other disorders. Further research is needed to validate these findings and determine the clinical utility of these biomarkers in routine practice.
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Affiliation(s)
- Tatiana Abou Mrad
- Faculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | - Kim Naja
- Faculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | - Samia J Khoury
- Nehme and Therese Tohme Multiple Sclerosis Center, Faculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon
| | - Salem Hannoun
- Medical Imaging Sciences Program, Division of Health Professions, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
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14
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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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15
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Abdel-Mannan O, Ciccarelli O. Is the central vein sign a useful diagnostic marker for paediatric-onset multiple sclerosis? Mult Scler 2023; 29:479-480. [PMID: 36514269 PMCID: PMC9972230 DOI: 10.1177/13524585221142318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Omar Abdel-Mannan
- Queen Square MS Centre, UCL Queen Square
Institute of Neurology, Faculty of Brain Sciences, University College
London, London, UK/Department of Neurology, Great Ormond Street Hospital NHS
Trust, London, UK
| | - Olga Ciccarelli
- O Ciccarelli Queen Square MS Centre, UCL
Queen Square Institute of Neurology, Faculty of Brain Sciences, University
College London, London, WC1N 3BG, UK.
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16
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Lashch NY, Pavlicov AE. [Changes in venous circulation in patients with multiple sclerosis]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:22-28. [PMID: 37560830 DOI: 10.17116/jnevro202312307222] [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: 08/11/2023]
Abstract
Multiple sclerosis (MS) is a common neurological disease, especially among people of young working age, and the number of MS cases registered in the world and in the Russian Federation tends to increase. The pathogenesis of MS is based on the theory of damage to its own myelin sheath as a result of activation of autoreactive T cells, which also leads to damage to both oligodendrocytes and axons. In addition, the role of vascular factor in the pathogenesis of MS is discussed in the literature periodically and several areas of research of vascular dysfunction in patients are identified. This article provides a retrospective analysis of the available literature dating from the 19th century to the present time in order to find the relationship between MS and changes in venous circulation.
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Affiliation(s)
- N Y Lashch
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - A E Pavlicov
- Pirogov Russian National Research Medical University, Moscow, Russia
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17
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Kuhlmann T, Moccia M, Coetzee T, Cohen JA, Correale J, Graves J, Marrie RA, Montalban X, Yong VW, Thompson AJ, Reich DS. Multiple sclerosis progression: time for a new mechanism-driven framework. Lancet Neurol 2023; 22:78-88. [PMID: 36410373 PMCID: PMC10463558 DOI: 10.1016/s1474-4422(22)00289-7] [Citation(s) in RCA: 163] [Impact Index Per Article: 163.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 05/29/2022] [Accepted: 06/29/2022] [Indexed: 11/20/2022]
Abstract
Traditionally, multiple sclerosis has been categorised by distinct clinical descriptors-relapsing-remitting, secondary progressive, and primary progressive-for patient care, research, and regulatory approval of medications. Accumulating evidence suggests that the clinical course of multiple sclerosis is better considered as a continuum, with contributions from concurrent pathophysiological processes that vary across individuals and over time. The apparent evolution to a progressive course reflects a partial shift from predominantly localised acute injury to widespread inflammation and neurodegeneration, coupled with failure of compensatory mechanisms, such as neuroplasticity and remyelination. Ageing increases neural susceptibility to injury and decreases resilience. These observations encourage a new consideration of the course of multiple sclerosis as a spectrum defined by the relative contributions of overlapping pathological and reparative or compensatory processes. New understanding of key mechanisms underlying progression and measures to quantify progressive pathology will potentially have important and beneficial implications for clinical care, treatment targets, and regulatory decision-making.
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Affiliation(s)
- Tanja Kuhlmann
- Institute of Neuropathology, University Hospital Münster, Münster, Germany; Neuroimmunology Unit, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
| | - Marcello Moccia
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neurosciences, Federico II University of Naples, Naples, Italy
| | - Timothy Coetzee
- National Multiple Sclerosis Society (USA), New York, NY, USA
| | - Jeffrey A Cohen
- Department of Neurology, Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jorge Correale
- Fleni, Department of Neurology, Buenos Aires, Argentina; Institute of Biological Chemistry and Biophysics (IQUIFIB), CONICET/UBA, Buenos Aires, Argentina
| | - Jennifer Graves
- Department of Neurosciences, University of California, San Diego, CA, USA
| | - Ruth Ann Marrie
- Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Xavier Montalban
- Multiple Sclerosis Centre of Catalonia and Department of Neurology-Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - V Wee Yong
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Alan J Thompson
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, NIHR University College London Hospitals Biomedical Research Centre, Faculty of Brain Sciences, University College London, London, UK
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
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18
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Daboul L, O'Donnell CM, Cao Q, Amin M, Rodrigues P, Derbyshire J, Azevedo C, Bar-Or A, Caverzasi E, Calabresi P, Cree BAC, Freeman L, Henry RG, Longbrake EE, Nakamura K, Oh J, Papinutto N, Pelletier D, Samudralwar RD, Suthiphosuwan S, Schindler MK, Sotirchos ES, Sicotte NL, Solomon AJ, Shinohara RT, Reich DS, Ontaneda D, Sati P. Effect of GBCA Use on Detection and Diagnostic Performance of the Central Vein Sign: Evaluation Using a 3-T FLAIR* Sequence in Patients With Suspected Multiple Sclerosis. AJR Am J Roentgenol 2023; 220:115-125. [PMID: 35975888 PMCID: PMC10016223 DOI: 10.2214/ajr.22.27731] [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] [Indexed: 12/30/2022]
Abstract
BACKGROUND. The central vein sign (CVS) is a proposed MRI biomarker of multiple sclerosis (MS). The impact of gadolinium-based contrast agent (GBCA) administration on CVS evaluation remains poorly investigated. OBJECTIVE. The purpose of this study was to assess the effect of GBCA use on CVS detection and on the diagnostic performance of the CVS for MS using a 3-T FLAIR* sequence. METHODS. This study was a secondary analysis of data from the pilot study for the prospective multicenter Central Vein Sign: A Diagnostic Biomarker in Multiple Sclerosis (CAVS-MS), which recruited adults with suspected MS from April 2018 to February 2020. Participants underwent 3-T brain MRI including FLAIR and precontrast and post-contrast echo-planar imaging T2*-weighted acquisitions. Postprocessing was used to generate combined FLAIR and T2*-weighted images (hereafter, FLAIR*). MS diagnoses were established using the 2017 McDonald criteria. Thirty participants (23 women, seven men; mean age, 45 years) were randomly selected from the CAVS-MS pilot study cohort. White matter lesions (WMLs) were marked using FLAIR* images. A single observer, blinded to clinical data and GBCA use, reviewed marked WMLs on FLAIR* images for the presence of the CVS. RESULTS. Thirteen of 30 participants had MS. Across participants, on precontrast FLAIR* imaging, 218 CVS-positive and 517 CVS-negative WMLs were identified; on post-contrast FLAIR* imaging, 269 CVS-positive and 459 CVS-negative WMLs were identified. The fraction of WMLs that were CVS-positive on precontrast and postcontrast images was 48% and 58% in participants with MS and 7% and 10% in participants without MS, respectively. The median patient-level CVS-positivity rate on precontrast and postcontrast images was 43% and 67% for participants with MS and 4% and 8% for participants without MS, respectively. In a binomial model adjusting for MS diagnoses, GBCA use was associated with an increased likelihood of at least one CVS-positive WML (odds ratio, 1.6; p < .001). At a 40% CVS-positivity threshold, the sensitivity of the CVS for MS increased from 62% on precontrast images to 92% on postcontrast images (p = .046). Specificity was not significantly different between precontrast (88%) and postcontrast (82%) images (p = .32). CONCLUSION. GBCA use increased CVS detection on FLAIR* images, thereby increasing the sensitivity of the CVS for MS diagnoses. CLINICAL IMPACT. The postcontrast FLAIR* sequence should be considered for CVS evaluation in future investigational trials and clinical practice.
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Affiliation(s)
- Lynn Daboul
- Department of Neurology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
- Cleveland Clinic Lerner College of Medicine, Cleveland, OH
| | - Carly M O'Donnell
- Department of Biostatistics, Epidemiology, and Informatics, Penn Statistics in Imaging and Visualization Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Quy Cao
- Department of Biostatistics, Epidemiology, and Informatics, Penn Statistics in Imaging and Visualization Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Moein Amin
- Neurological Institute, Cleveland Clinic, Cleveland, OH
| | | | | | - Christina Azevedo
- Department of Neurology, University of Southern California, Los Angeles, CA
| | - Amit Bar-Or
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Eduardo Caverzasi
- Department of Neurology, University of California at San Francisco, San Francisco, CA
| | - Peter Calabresi
- Department of Neurology, Johns Hopkins University, Baltimore, MD
| | - Bruce A C Cree
- Department of Neurology, University of California at San Francisco, San Francisco, CA
| | - Leorah Freeman
- Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX
| | - Roland G Henry
- Department of Neurology, University of California at San Francisco, San Francisco, CA
| | | | - Kunio Nakamura
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH
| | - Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, ON, Canada
| | - Nico Papinutto
- Department of Neurology, University of California at San Francisco, San Francisco, CA
| | - Daniel Pelletier
- Department of Neurology, University of Southern California, Los Angeles, CA
| | - Rohini D Samudralwar
- Department of Neurology, The University of Texas Health Science Center at Houston, Houston, TX
| | - Suradech Suthiphosuwan
- Department of Medical Imaging, St. Michael's Hospital, University of Toronto, ON, Canada
| | - Matthew K Schindler
- Department of Neurology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | | | - Nancy L Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Andrew J Solomon
- Department of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT
| | - Russell T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, Penn Statistics in Imaging and Visualization Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH
| | - Pascal Sati
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA
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19
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Present and future of the diagnostic work-up of multiple sclerosis: the imaging perspective. J Neurol 2023; 270:1286-1299. [PMID: 36427168 PMCID: PMC9971159 DOI: 10.1007/s00415-022-11488-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 11/09/2022] [Accepted: 11/10/2022] [Indexed: 11/26/2022]
Abstract
In recent years, the use of magnetic resonance imaging (MRI) for the diagnostic work-up of multiple sclerosis (MS) has evolved considerably. The 2017 McDonald criteria show high sensitivity and accuracy in predicting a second clinical attack in patients with a typical clinically isolated syndrome and allow an earlier diagnosis of MS. They have been validated, are evidence-based, simplify the clinical use of MRI criteria and improve MS patients' management. However, to limit the risk of misdiagnosis, they should be applied by expert clinicians only after the careful exclusion of alternative diagnoses. Recently, new MRI markers have been proposed to improve diagnostic specificity for MS and reduce the risk of misdiagnosis. The central vein sign and chronic active lesions (i.e., paramagnetic rim lesions) may increase the specificity of MS diagnostic criteria, but further effort is necessary to validate and standardize their assessment before implementing them in the clinical setting. The feasibility of subpial demyelination assessment and the clinical relevance of leptomeningeal enhancement evaluation in the diagnostic work-up of MS appear more limited. Artificial intelligence tools may capture MRI attributes that are beyond the human perception, and, in the future, artificial intelligence may complement human assessment to further ameliorate the diagnostic work-up and patients' classification. However, guidelines that ensure reliability, interpretability, and validity of findings obtained from artificial intelligence approaches are still needed to implement them in the clinical scenario. This review provides a summary of the most recent updates regarding the application of MRI for the diagnosis of MS.
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20
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Fournier AP, Tastet O, Charabati M, Hoornaert C, Bourbonnière L, Klement W, Larouche S, Tea F, Wang YC, Larochelle C, Arbour N, Ragoussis J, Zandee S, Prat A. Single-Cell Transcriptomics Identifies Brain Endothelium Inflammatory Networks in Experimental Autoimmune Encephalomyelitis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2022; 10:10/1/e200046. [PMID: 36446612 PMCID: PMC9709715 DOI: 10.1212/nxi.0000000000200046] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 08/31/2022] [Indexed: 12/05/2022]
Abstract
BACKGROUND AND OBJECTIVES Multiple sclerosis (MS) is a neuroinflammatory and neurodegenerative disease characterized by infiltration of immune cells in multifocal areas of the CNS. The specific molecular processes allowing autoreactive immune cells to enter the CNS compartment through the blood-brain barrier remain elusive. METHODS Using endothelial cell (EC) enrichment and single-cell RNA sequencing, we characterized the cells implicated in the neuroinflammatory processes in experimental autoimmune encephalomyelitis, an animal model of MS. Validations on human MS brain sections of the most differentially expressed genes in venous ECs were performed using immunohistochemistry and confocal microscopy. RESULTS We found an upregulation of genes associated with antigen presentation and interferon in most populations of CNS-resident cells, including ECs. Interestingly, instead of transcriptionally distinct profiles, a continuous gradient of gene expression separated the arteriovenous zonation of the brain vasculature. However, differential gene expression analysis presented more transcriptomic alterations on the venous side of the axis, suggesting a prominent role of venous ECs in neuroinflammation. Furthermore, analysis of ligand-receptor interactions identified important potential molecular communications between venous ECs and infiltrated immune populations. To confirm the relevance of our observation in the context of human disease, we validated the protein expression of the most upregulated genes (Ackr1 and Lcn2) in MS lesions. DISCUSSION In this study, we provide a landscape of the cellular heterogeneity associated with neuroinflammation. We also present important molecular insights for further exploration of specific cell processes that promote infiltration of immune cells inside the brain of experimental autoimmune encephalomyelitis mice.
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Affiliation(s)
- Antoine Philippe Fournier
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Olivier Tastet
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Marc Charabati
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Chloé Hoornaert
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Lyne Bourbonnière
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Wendy Klement
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Sandra Larouche
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Fiona Tea
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Yu Chang Wang
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Catherine Larochelle
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Nathalie Arbour
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Jiannis Ragoussis
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Stephanie Zandee
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada
| | - Alexandre Prat
- From the Neuroimmunology Research Laboratory (A.P.F., O.T., M.C., C.H., L.B., W.K., S.L., F.T., C.L., N.A., S.Z., A.P.), Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM); Department of Neurosciences (A.P.F., C.L., N.A., S.Z., A.P.), Faculty of Medicine, Université de Montréal; Multiple Sclerosis Clinic (C.L., A.P.), Division of Neurology, Centre Hospitalier de l'Université de Montréal (CHUM); Department of Human Genetics (J.R.), McGill University, Montréal; and McGill Genome Centre (Y.C.W., J.R.), Montréal, Québec, Canada.
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21
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Al-Louzi O, Manukyan S, Donadieu M, Absinta M, Letchuman V, Calabresi B, Desai P, Beck ES, Roy S, Ohayon J, Pham DL, Thomas A, Jacobson S, Cortese I, Auluck PK, Nair G, Sati P, Reich DS. Lesion size and shape in central vein sign assessment for multiple sclerosis diagnosis: An in vivo and postmortem MRI study. Mult Scler 2022; 28:1891-1902. [PMID: 35674284 DOI: 10.1177/13524585221097560] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The "central vein sign" (CVS), a linear hypointensity on T2*-weighted imaging corresponding to a central vein/venule, is associated with multiple sclerosis (MS) lesions. The effect of lesion-size exclusion criteria on MS diagnostic accuracy has not been extensively studied. OBJECTIVE Investigate the optimal lesion-size exclusion criteria for CVS use in MS diagnosis. METHODS Cross-sectional study of 163 MS and 51 non-MS, and radiological/histopathological correlation of 5 MS and 1 control autopsy cases. The effects of lesion-size exclusion on MS diagnosis using the CVS, and intralesional vein detection on histopathology were evaluated. RESULTS CVS+ lesions were larger compared to CVS- lesions, with effect modification by MS diagnosis (mean difference +7.7 mm3, p = 0.004). CVS percentage-based criteria with no lesion-size exclusion showed the highest diagnostic accuracy in differentiating MS cases. However, a simple count of three or more CVS+ lesions greater than 3.5 mm is highly accurate and can be rapidly implemented (sensitivity 93%; specificity 88%). On magnetic resonance imaging (MRI)-histopathological correlation, the CVS had high specificity for identifying intralesional veins (0/7 false positives). CONCLUSION Lesion-size measures add important information when using CVS+ lesion counts for MS diagnosis. The CVS is a specific biomarker corresponding to intralesional veins on histopathology.
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Affiliation(s)
- Omar Al-Louzi
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Sargis Manukyan
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Maxime Donadieu
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Martina Absinta
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD; USA/IRCCS San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy
| | - Vijay Letchuman
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Brent Calabresi
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Parth Desai
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Erin S Beck
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Snehashis Roy
- Section on Neural Function, National Institute of Mental Health, Bethesda, MD, USA
| | - Joan Ohayon
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Dzung L Pham
- Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Anish Thomas
- Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Steven Jacobson
- Viral Immunology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Irene Cortese
- Neuroimmunology Clinic, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Pavan K Auluck
- Human Brain Collection Core, National Institute of Mental Health, Bethesda, MD, USA
| | - Govind Nair
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Pascal Sati
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, 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, Bethesda, MD, USA
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