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Ahmad Fauzi N, Muhd-Syafi AB, Rosli AH, Wan Mahmud Sabri WMN, Jabbari AJ. Bilateral Pediatric Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease (MOGAD) Optic Neuritis: A Case Report. Cureus 2024; 16:e74883. [PMID: 39741598 PMCID: PMC11688165 DOI: 10.7759/cureus.74883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/30/2024] [Indexed: 01/03/2025] Open
Abstract
Optic neuritis (ON) is defined as an acquired disorder of the optic nerve that may be associated with demyelinating diseases or infectious or inflammatory processes. In children, the manifestation of this condition differs from that in adults, where it typically presents with bilateral papillitis subsequent to a preceding viral illness. Nonetheless, the main concern for practitioners is the possibility of its conversion to multiple sclerosis (MS). In recent years, there has been increased awareness regarding differentiating MS from other demyelinating ON phenotypes, namely, neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). Despite the clinical similarities among these three entities, they vary in terms of pathophysiology, clinical course, treatment approaches, and prognostication. In this paper, we highlight the case of a child with MOGAD ON who was clinically severe at presentation and has typical features of ON and the appropriate investigation and treatment done to achieve complete visual recovery.
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Affiliation(s)
| | | | - Abdul Hadi Rosli
- Ophthalmology, International Islamic University Malaysia, Kuantan, MYS
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Geraldes R, Arrambide G, Banwell B, Rovira À, Cortese R, Lassmann H, Messina S, Rocca MA, Waters P, Chard D, Gasperini C, Hacohen Y, Mariano R, Paul F, DeLuca GC, Enzinger C, Kappos L, Leite MI, Sastre-Garriga J, Yousry T, Ciccarelli O, Filippi M, Barkhof F, Palace J. The influence of MOGAD on diagnosis of multiple sclerosis using MRI. Nat Rev Neurol 2024; 20:620-635. [PMID: 39227463 DOI: 10.1038/s41582-024-01005-2] [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: 07/26/2024] [Indexed: 09/05/2024]
Abstract
Myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD) is an immune-mediated demyelinating disease that is challenging to differentiate from multiple sclerosis (MS), as the clinical phenotypes overlap, and people with MOGAD can fulfil the current MRI-based diagnostic criteria for MS. In addition, the MOG antibody assays that are an essential component of MOGAD diagnosis are not standardized. Accurate diagnosis of MOGAD is crucial because the treatments and long-term prognosis differ from those for MS. This Expert Recommendation summarizes the outcomes from a Magnetic Resonance Imaging in MS workshop held in Oxford, UK in May 2022, in which MS and MOGAD experts reflected on the pathology and clinical features of these disorders, the contributions of MRI to their diagnosis and the clinical use of the MOG antibody assay. We also critically reviewed the literature to assess the validity of distinctive imaging features in the current MS and MOGAD criteria. We conclude that dedicated orbital and spinal cord imaging (with axial slices) can inform MOGAD diagnosis and also illuminate differential diagnoses. We provide practical guidance to neurologists and neuroradiologists on how to navigate the current MOGAD and MS criteria. We suggest a strategy that includes useful imaging discriminators on standard clinical MRI and discuss imaging features detected by non-conventional MRI sequences that demonstrate promise in differentiating these two disorders.
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Affiliation(s)
- Ruth Geraldes
- NMO Service, Department of Neurology, Oxford University Hospitals, Oxford, UK.
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK.
- Wexham Park Hospital, Frimley Health Foundation Trust, Slough, UK.
| | - Georgina Arrambide
- Neurology-Neuroimmunology Department, Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Brenda Banwell
- Division of Child Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Àlex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Rosa Cortese
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Hans Lassmann
- Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Silvia Messina
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
- Wexham Park Hospital, Frimley Health Foundation Trust, Slough, UK
| | - Mara Assunta Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Patrick Waters
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Declan Chard
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research (NIHR) University College London Hospitals (CLH) Biomedical Research Centre, London, UK
| | - Claudio Gasperini
- Multiple Sclerosis Centre, Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Yael Hacohen
- Department of Paediatric Neurology, Great Ormond Street Hospital for Children, London, UK
| | - Romina Mariano
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Gabriele C DeLuca
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Medical University of Graz, Graz, Austria
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience, University Hospital and University, Basel, Switzerland
| | - M Isabel Leite
- NMO Service, Department of Neurology, Oxford University Hospitals, Oxford, UK
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK
| | - Jaume Sastre-Garriga
- Neurology-Neuroimmunology Department, Multiple Sclerosis Centre of Catalonia (Cemcat), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain
| | - Tarek Yousry
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Olga Ciccarelli
- Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square Institute of Neurology, London, UK
- University College London Hospitals (UCLH) National Institute for Health and Research (NIHR) Biomedical Research Centre (BRC), London, UK
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Jacqueline Palace
- NMO Service, Department of Neurology, Oxford University Hospitals, Oxford, UK.
- Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, UK.
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Nair A, Sankhyan N, Sukhija J, Saini AG, Vyas S, Suthar R, Sahu JK, Rawat A. Clinical outcomes and Anti-MOG antibodies in pediatric optic neuritis: A prospective observational study. Eur J Paediatr Neurol 2024; 49:1-5. [PMID: 38271780 DOI: 10.1016/j.ejpn.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 11/04/2023] [Accepted: 01/09/2024] [Indexed: 01/27/2024]
Abstract
OBJECTIVES The objective of this study was to look at the clinical outcomes, and to determine the proportion of children with visual recovery after the first demyelinating event of optic neuritis (ON). METHODOLOGY In this observational study, children with the first clinical event of optic neuritis at an age less than 18 years were evaluated. High-contrast visual acuity, colour vision, Expanded Disability Status Scale (EDSS), Anti-MOG and AQP-4 antibodies were assessed. RESULTS Of the 55 screened, 45 children (77 eyes), median age-98 months, 30 (67%) bilateral were enrolled. Fifty of 77 eyes (67%) had Snellen visual acuity less than 6/60. Twelve children (27%) were MOG seropositive and 3 had AQP-4 positivity. At median follow up of 35 months, 10 (22%) children had one or more relapses. At follow up, the median (IQR) visual acuity improved from nadir of 2.1 (1-2.7) logMAR to 0 (0-0.18) logMAR and 64/77 eyes (83%) had visual recovery. The diagnosis at last follow up was isolated ON in 39/45 (86.6%), relapsing ON (5, 11%), AQP-4 positive NMOSD (3, 7%), MOG antibody associated demyelination (12, 27%), dual seronegative ON (30,67%) and Multiple sclerosis (1, 2%). CONCLUSIONS Most children with first demyelinating event as ON have a monophasic illness. Despite severe acute-phase visual loss, most eyes with ON will recover good visual functions. The risk of AQP-4 disease and multiple sclerosis is low in this group.
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Affiliation(s)
- Abhirami Nair
- Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Naveen Sankhyan
- Pediatric Neurology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Jaspreet Sukhija
- Department of Ophthalmology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Arushi Gahlot Saini
- Pediatric Neurology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Sameer Vyas
- Department of Radiodiagnosis, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Renu Suthar
- Pediatric Neurology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Jitendra Kumar Sahu
- Pediatric Neurology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
| | - Amit Rawat
- Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
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Oertel FC, Hastermann M, Paul F. Delimiting MOGAD as a disease entity using translational imaging. Front Neurol 2023; 14:1216477. [PMID: 38333186 PMCID: PMC10851159 DOI: 10.3389/fneur.2023.1216477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 08/23/2023] [Indexed: 02/10/2024] Open
Abstract
The first formal consensus diagnostic criteria for myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) were recently proposed. Yet, the distinction of MOGAD-defining characteristics from characteristics of its important differential diagnoses such as multiple sclerosis (MS) and aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorder (NMOSD) is still obstructed. In preclinical research, MOG antibody-based animal models were used for decades to derive knowledge about MS. In clinical research, people with MOGAD have been combined into cohorts with other diagnoses. Thus, it remains unclear to which extent the generated knowledge is specifically applicable to MOGAD. Translational research can contribute to identifying MOGAD characteristic features by establishing imaging methods and outcome parameters on proven pathophysiological grounds. This article reviews suitable animal models for translational MOGAD research and the current state and prospect of translational imaging in MOGAD.
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Affiliation(s)
- Frederike Cosima Oertel
- Experimental and Clinical Research Center, Max-Delbrück-Centrum für Molekulare Medizin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Neuroscience Clinical Research Center, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Department of Neurology, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Maria Hastermann
- Experimental and Clinical Research Center, Max-Delbrück-Centrum für Molekulare Medizin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Neuroscience Clinical Research Center, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max-Delbrück-Centrum für Molekulare Medizin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Neuroscience Clinical Research Center, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Department of Neurology, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charité – Universitätsmedizin Berlin, Berlin, Germany
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Song H, Chuai Y, Yang M, Zhou H, Sun M, Xu Q, Wei S. Glial autoantibody prevalence in Chinese optic neuritis with onset after age 45: clinical factors for diagnosis. Front Immunol 2023; 14:1181908. [PMID: 37705973 PMCID: PMC10495982 DOI: 10.3389/fimmu.2023.1181908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 08/08/2023] [Indexed: 09/15/2023] Open
Abstract
Purpose As glial autoantibody testing is not yet available in some areas of the world, an alternative approach is to use clinical indicators to predict which subtypes of middle-aged and elderly-onset optic neuritis (ON) have manifested. Method This study was a single-center hospital-based retrospective cohort study. Middle-aged and elderly-onset ON patients (age > 45 years) who had experienced the first episode of ON were included in this cohort. Single- and multi-parametric diagnostic factors for middle-aged and elderly-onset myelin oligodendrocyte glycoprotein immunoglobulin-associated ON (MOG-ON) and aquaporin-4 immunoglobulin-related ON (AQP4-ON) were calculated. Results From January 2016 to January 2020, there were 81 patients with middle-aged and elderly-onset ON, including 32 (39.5%) AQP4-ON cases, 19 (23.5%) MOG-ON cases, and 30 (37.0%) Seronegative-ON cases. Bilateral involvement (47.4%, P = 0.025) was most common in the MOG-ON group. The presence of other concomitant autoimmune antibodies (65.6%, P = 0.014) and prior neurological history (37.5%, P = 0.001) were more common in the AQP4-ON group. The MOG-ON group had the best follow-up best-corrected visual acuity (BCVA) (89.5% ≤ 1.0 LogMAR, P = 0.001). The most sensitive diagnostic factors for middle-aged and elderly-onset MOG-ON were 'follow-up VA ≤ 0.1 logMAR' (sensitivity 0.89), 'bilateral involvement or follow-up VA ≤ 0.1 logMAR' (sensitivity 0.95), 'bilateral involvement or without neurological history' (sensitivity 1.00), and 'follow-up VA ≤ 0.1 logMAR or without neurological history' (sensitivity 1.00), and the most specific factor was 'bilateral involvement' (specificity 0.81). The most sensitive diagnostic factors for middle-aged and elderly-onset AQP4-ON were 'unilateral involvement' (sensitivity 0.88), 'unilateral involvement or neurological history' (sensitivity 0.91), and 'unilateral involvement or other autoimmune antibodies' (sensitivity 1.00), and the most specific factor was neurological history (specificity 0.98). Conclusion Based on our cohort study of middle-aged and elderly-onset ON, MOG-ON is less prevalent than AQP4-ON and Seronegative-ON. Using multiple combined parameters improves the sensitivity and negative predictive value for diagnosing middle-aged and elderly-onset MOG-ON and AQP4-ON. These combined parameters can help physicians identify and treat middle-aged and elderly-onset ON early when glial autoantibody status is not available.
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Affiliation(s)
- Honglu Song
- Department of Ophthalmology, The First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China
- Department of Ophthalmology, Bethune International Peace Hospital, Shijiazhuang, Hebei, China
| | - Yucai Chuai
- Department of Special Medical Services, Bethune International Peace Hospital, Shijiazhuang, Hebei, China
| | - Mo Yang
- Department of Neuro-ophthalmology, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Huanfen Zhou
- Department of Ophthalmology, The First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China
| | - Mingming Sun
- Department of Ophthalmology, The First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China
| | - Quangang Xu
- Department of Ophthalmology, The First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China
| | - Shihui Wei
- Department of Ophthalmology, The First Medical Center of the Chinese People's Liberation Army General Hospital, Beijing, China
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Khoshnood MM, Santoro JD. Myelin Oligodendrocyte Glycoprotein (MOG) Associated Diseases: Updates in Pediatric Practice. Semin Pediatr Neurol 2023; 46:101056. [PMID: 37451753 DOI: 10.1016/j.spen.2023.101056] [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: 02/06/2023] [Revised: 05/07/2023] [Accepted: 05/07/2023] [Indexed: 07/18/2023]
Abstract
Myelin oligodendrocyte glycoprotein (MOG) is a membrane bound protein found on the surface of oligodendrocyte cells and the outermost surface of myelin sheaths. MOG is posited to play a role as a cell surface receptor or cell adhesion molecule, though there is no definitive answer to its exact function at this time. In the last few decades, there has been a recognition of anti-MOG-antibodies (MOG-Abs) in association with a variety of neurologic conditions, though primarily demyelinating and white matter disorders. In addition, MOG associated disease (MOGAD) appears to have a predilection for pediatric populations and in some patients may have a relapsing course. There has been considerable debate as to whether MOG-Abs are truly directly pathogenic or a disease biomarker associated with neuorinflammatory disease. In this manuscript we will review the current literature surrounding MOGAD, review new clinical phenotypes, discuss treatment and prognosis, and provide insight into potential future directions that studies may focus on.
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Affiliation(s)
- Mellad M Khoshnood
- Division of Neurology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA
| | - Jonathan D Santoro
- Division of Neurology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA; Department of Neurology, Keck School of Medicine at the University of Southern California, Los Angeles, CA.
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Banwell B, Bennett JL, Marignier R, Kim HJ, Brilot F, Flanagan EP, Ramanathan S, Waters P, Tenembaum S, Graves JS, Chitnis T, Brandt AU, Hemingway C, Neuteboom R, Pandit L, Reindl M, Saiz A, Sato DK, Rostasy K, Paul F, Pittock SJ, Fujihara K, Palace J. Diagnosis of myelin oligodendrocyte glycoprotein antibody-associated disease: International MOGAD Panel proposed criteria. Lancet Neurol 2023; 22:268-282. [PMID: 36706773 DOI: 10.1016/s1474-4422(22)00431-8] [Citation(s) in RCA: 434] [Impact Index Per Article: 217.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 09/07/2022] [Accepted: 10/13/2022] [Indexed: 01/26/2023]
Abstract
Serum antibodies directed against myelin oligodendrocyte glycoprotein (MOG) are found in patients with acquired CNS demyelinating syndromes that are distinct from multiple sclerosis and aquaporin-4-seropositive neuromyelitis optica spectrum disorder. Based on an extensive literature review and a structured consensus process, we propose diagnostic criteria for MOG antibody-associated disease (MOGAD) in which the presence of MOG-IgG is a core criterion. According to our proposed criteria, MOGAD is typically associated with acute disseminated encephalomyelitis, optic neuritis, or transverse myelitis, and is less commonly associated with cerebral cortical encephalitis, brainstem presentations, or cerebellar presentations. MOGAD can present as either a monophasic or relapsing disease course, and MOG-IgG cell-based assays are important for diagnostic accuracy. Diagnoses such as multiple sclerosis need to be excluded, but not all patients with multiple sclerosis should undergo screening for MOG-IgG. These proposed diagnostic criteria require validation but have the potential to improve identification of individuals with MOGAD, which is essential to define long-term clinical outcomes, refine inclusion criteria for clinical trials, and identify predictors of a relapsing versus a monophasic disease course.
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Affiliation(s)
- Brenda Banwell
- Division of Child Neurology, Children's Hospital of Philadelphia, Department of Neurology and Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, PA, USA.
| | - Jeffrey L Bennett
- Departments of Neurology and Ophthalmology, Programs in Neuroscience and Immunology, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA
| | - Romain Marignier
- Service de neurologie, sclérose en plaques, pathologies de la myéline et neuro-inflammation, and Centre de Référence des Maladies Inflammatoires Rares du Cerveau et de la Moelle, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, France; Centre de Recherche en Neurosciences de Lyon, Lyon, France; Université Claude Bernard Lyon, Lyon, France
| | - Ho Jin Kim
- Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, South Korea
| | - Fabienne Brilot
- Brain Autoimmunity Group, Kids Neuroscience Centre, Kids Research at the Children's Hospital at Westmead, Sydney, Australia; School of Medical Sciences, Faculty of Medicine and Health and Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Eoin P Flanagan
- Departments of Neurology, Laboratory Medicine and Pathology and Center MS and Autoimmune Neurology, Mayo Clinic, Rochester, MN, USA
| | - Sudarshini Ramanathan
- Department of Neurology, Concord Hospital, Translational Neuroimmunology Group, Kids Neuroscience Centre, Children's Hospital at Westmead, Sydney, Australia; Brain and Mind Centre and Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Patrick Waters
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Silvia Tenembaum
- Paediatric Neuroimmunology Clinic, Department of Neurology, National Paediatric Hospital Dr J P Garrahan, Ciudad de Buenos Aires, Argentina
| | - Jennifer S Graves
- Department of Neurosciences, University of California, San Diego, CA, USA
| | - Tanuja Chitnis
- Department of Pediatric Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Cheryl Hemingway
- Department of Paediatric Neurology, Great Ormond Street Hospital, London, UK; Institute of Neurology, UCL, London, UK
| | - Rinze Neuteboom
- Department of Neurology, MS Center ErasMS, Sophia Children's Hospital, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Lekha Pandit
- Center for Advanced Neurological Research, Nitte University Mangalore, Mangalore, India
| | - Markus Reindl
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Albert Saiz
- Neuroimmunology and Multiple Sclerosis Unit, Service of Neurology, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Barcelona, Spain; Facultat de Medicina i Ciencies de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Douglas Kazutoshi Sato
- School of Medicine and Institute for Geriatrics and Gerontology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Kevin Rostasy
- Department of Paediatric Neurology, Children'sHospital Datteln, University Witten and Herdecke, Datteln, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Sean J Pittock
- Departments of Neurology, Laboratory Medicine, and Pathology and Center MS and Autoimmune Neurology, Mayo Clinic, Rochester, MN, USA
| | - Kazuo Fujihara
- Department of Multiple Sclerosis Therapeutics, Fukushima Medical University School of Medicine, Fukushima, Japan; Multiple Sclerosis and Neuromyelitis Optica Center, Southern TOHOKU Research Institute for Neuroscience, Koriyama, Japan
| | - Jacqueline Palace
- Department of Neurology John Radcliffe Hospital Oxford and Nuffield Department of Clinical Neurosciences Oxford University, Oxford, UK
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Belova AN, Sheiko GE, Rakhmanova EM, Boyko AN. [Clinical features and modern diagnostic criteria of the disease associated with myelin oligodendrocyte glycoprotein antibody disease]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:47-56. [PMID: 37994888 DOI: 10.17116/jnevro202312311147] [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: 11/24/2023]
Abstract
Demyelinating disease of the central nervous system associated with antibodies to myelin oligodendrocyte glycoprotein (MOGAD) has been proposed to be distinguished from neuromyelitis optica spectrum disorders (NMOSD) into a separate nosological form. The basis for the recognition of nosological independence was the presence of clinical features of this disease and the detection of a specific biomarker in the blood serum of patients - IgG class antibodies to MOG. The article summarizes the current data on the clinical and radiological phenotypes of MOGAD in children and adults and the features of the course of the disease. The requirements for the laboratory diagnosis of the disease and diagnostic criteria for MOGAD proposed by an international group of experts in 2023 are given.
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Affiliation(s)
- A N Belova
- Volga Research Medical University, Nizhny Novgorod, Russia
| | - G E Sheiko
- Volga Research Medical University, Nizhny Novgorod, Russia
| | - E M Rakhmanova
- Volga Research Medical University, Nizhny Novgorod, Russia
| | - A N Boyko
- Pirogov Russian National Research Medical University, Moscow, Russia
- Federal Center of Brain and Neurotechnologies of the Federal Medical Biological Agency, Moscow, Russia
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9
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Song H, Yang M, Zhou H, Li Z, Wei S. MOG antibody prevalence in adult optic neuritis and clinical predictive factors for diagnosis: A Chinese cohort study. Mult Scler Relat Disord 2022; 68:104248. [PMID: 36544312 DOI: 10.1016/j.msard.2022.104248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 10/13/2022] [Accepted: 10/15/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVE Because AQP4/MOG antibody testing is not available in some parts of the world and there are often delays in obtaining results, it is particularly important to use clinical factors to predict the subtypes of adult optic neuritis (ON). METHODS This was a single-center retrospective cohort study. RESULTS The final analysis included 249 adult patients presenting with the first ON attack during January 2016 to January 2020. These included 109 (43.8%) AQP4-ON cases, 49 (19.7%) MOG-ON cases, and 91 (36.5%) Seronegative-ON cases. The proportion of optic disk swelling (ODS) and bilateral involvement in MOG-ON group was significantly higher than in the other two subgroups (P = 0.029, 0.001). The MOG-ON group had the best follow-up BCVA (P = 0.003). To predict adult AQP4-ON, unilateral involvement (sensitivity 0.88, NPV 0.77) was the most sensitivity predictors, while neurological history (specificity 0.96, PPV 0.65) and concomitant other autoimmune antibodies (specificity 0.76, PPV 0.65) were the most specific predictors. Using the parallel test 'unilateral or other autoimmune antibodies' increased sensitivity to 0.95, with an optimal NPV of 0.88. To predict adult MOG-ON, the most sensitive clinical characteristics were ODS (sensitivity 0.79, NPV 0.88), and follow-up VA ≤0.1logMAR (sensitivity 0.78, NPV 0.92), whereas the most specific values were prior neurological history or bilateral involvement, with specificities of 0.92 and 0.82, respectively. The sensitivity increased to 0.94, 0.97, and 0.97 when using the parallel clinical factors of 'bilateral or ODS or relapse', 'bilateral or ODS or follow-up VA ≤0.1logMAR', and 'ODS or follow-up VA ≤0.1logMAR', and the corresponding NPV (0.94, 0.97 vs 0.98). CONCLUSION The proportion of MOG-ON (19.7%) was less than that of AQP4-ON and Seronegative-ON. Moreover, MOG-ON had a better prognosis and was more likely to be associated with ODS or bilateral involvement. The use of parallel clinical parameters improved the sensitivity for the diagnosis of adult MOG-ON and AQP4-ON.
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Affiliation(s)
- Honglu Song
- Senior Department of Ophthalmology, The Chinese People's Liberation Army General Hospital, Beijing, China; Department of Ophthalmology, the 980th Hospital of the Chinese PLA Joint Logistics Support Force, Shijiazhuang, Hebei, China
| | - Mo Yang
- Department of Neuro-ophthalmology, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Huanfen Zhou
- Senior Department of Ophthalmology, The Chinese People's Liberation Army General Hospital, Beijing, China
| | - Zhaohui Li
- Senior Department of Ophthalmology, The Chinese People's Liberation Army General Hospital, Beijing, China.
| | - Shihui Wei
- Senior Department of Ophthalmology, The Chinese People's Liberation Army General Hospital, Beijing, China.
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Update on glial antibody-mediated optic neuritis. Jpn J Ophthalmol 2022; 66:405-412. [PMID: 35895155 DOI: 10.1007/s10384-022-00932-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/16/2022] [Indexed: 10/16/2022]
Abstract
Optic neuritis (ON) refers to inflammatory demyelinating lesions of the optic nerve, which can cause acute or subacute vision loss and is a major cause of vision loss in young adults. Much of our understanding of typical ON is from the Optic Neuritis Treatment Trial. Glial autoantibodies to aquaporin-4 immunoglobulin (AQP4-IgG) and myelin oligodendrocyte glycoprotein immunoglobulin (MOG-IgG) are recently established biomarkers of ON that have revolutionized our understanding of atypical ON. The detection of glial antibodies is helpful in the diagnosis, treatment, and follow-up of patients with different types of ON. AQP4-IgG and MOG-IgG screening is strongly recommended for patients with atypical ON. Research on the pathogenesis of NMOSD and MOGAD will promote the development and marketing of targeted immunotherapies. The application of new and efficient drugs, such as the selective complement C5 inhibitor, IL-6 receptor inhibitor, B cell-depleting agents, and drugs against other monoclonal antibodies, provides additional medical evidence. This review provides information on the diagnosis and management of glial antibody-mediated ON.
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Vision Prognosis and Associated Factors of Optic Neuritis in Dependence of Glial Autoimmune Antibodies. Am J Ophthalmol 2022; 239:11-25. [PMID: 35081416 DOI: 10.1016/j.ajo.2022.01.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/08/2022] [Accepted: 01/14/2022] [Indexed: 02/05/2023]
Abstract
PURPOSE To assess the visual prognosis of optic neuritis (ON) in dependence of the glial autoimmune antibody status and associated factors. DESIGN Longitudinal observational cohort study. METHODS Patients with ON and measurements of serum concentrations of glial autoantibodies were consecutively and longitudinally examined with a minimal follow-up of 3 months. Patients with multiple sclerosis and double seronegative results were excluded. RESULTS The study included 529 patients (aquaporin-4 immunoglobulin [AQP4-IgG] seropositive, n = 291; myelin oligodendrocyte glycoprotein immunoglobulin [MOG-IgG] seropositive, n = 112; double-seronegative, n = 126) with 1022 ON episodes (AQP4-IgG seropositive, n = 550; MOG-IgG seropositive, n=254; double-seronegative, n = 218). Prevalence of severe vision loss (best-corrected visual acuity [BCVA] ≤20/200 at the end of follow-up) was higher (P < .001) in the AQP4-IgG group (236/550; 42.9%) than in the seronegative group (68/218; 31.2%) and in the MOG-IgG group (15/254; 5.9%). Prevalence of good vision recovery (BCVA≥20/40) was higher (P < .001) in the MOG-IgG group (229/254; 90.2%) than in the seronegative group (111/218; 50.9%) and in the AQP4-IgG group (236/550; 42.9%). In multivariable logistic analysis, higher prevalence of severe vision loss was associated with AQP4-IgG seropositivity (odds ratio [OR] 1.66; 95% CI 1.14, 2.43; P = .008), male sex (OR 1.97, 95% CI 1.33, 2.93; P < .001), age at ON onset >45 years (OR 1.93, 95% CI 1.35, 2.77; P < .001), nadir vision ≤20/200 (OR 14.11, 95% CI 6.54, 36.93; P < .001), and higher number of recurrences (OR 1.35, 95% CI 1.14, 1.61; P = .001). Higher prevalence of good vision outcome was associated with MOG-IgG seropositivity (OR 8.13, 95% CI 4.82, 14.2; P < .001), age at ON onset <18 years (OR 1.78, 95% CI 1.18, 2.71; P = .006), nadir visual acuity ≥20/40 (OR 4.03; 95% CI 1.45, 14.37; P = .015), and lower number of recurrences (OR 0.60; 95% CI 0.50, 0.72; P < .001). CONCLUSION Severe vision loss (prevalence in the AQP4-IgG group, MOG-IgG group, and seronegative group: 42.9%, 5.9%, and 31.2%, respectively) was associated with AQP4-IgG seropositivity, male gender, older age at onset, worse nadir vision, and higher number of recurrences.
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