1
|
Redenbaugh V, Fryer JP, Cacciaguerra L, Chen JJ, Greenwood TM, Gilligan M, Thakolwiboon S, Majed M, Chia NH, McKeon A, Mills JR, Lopez Chiriboga AS, Tillema JM, Yang B, Abdulrahman Y, Guo K, Vorasoot N, Sanchez CV, Tajfirouz DA, Toledano M, Zekeridou A, Dubey D, Gombolay GY, Caparó-Zamalloa C, Kister I, Pittock SJ, Flanagan EP. Diagnostic Utility of MOG Antibody Testing in Cerebrospinal Fluid. Ann Neurol 2024; 96:34-45. [PMID: 38591875 PMCID: PMC11186718 DOI: 10.1002/ana.26931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 03/09/2024] [Accepted: 03/15/2024] [Indexed: 04/10/2024]
Abstract
OBJECTIVE The aim of this study was to assess the diagnostic utility of cerebrospinal fluid (CSF) myelin oligodendrocyte glycoprotein antibodies (MOG-IgG) testing. METHODS We retrospectively identified patients for CSF MOG-IgG testing from January 1, 1996, to May 1, 2023, at Mayo Clinic and other medical centers that sent CSF MOG-IgG for testing including: controls, 282; serum MOG-IgG positive MOG antibody-associated disease (MOGAD), 74; serum MOG-IgG negative high-risk phenotypes, 73; serum false positive MOG-IgG with alternative diagnoses, 18. A live cell-based assay assessed CSF MOG-IgG positivity (IgG-binding-index [IBI], ≥2.5) using multiple anti-human secondary antibodies and end-titers were calculated if sufficient sample volume. Correlation of CSF MOG-IgG IBI and titer was assessed. RESULTS The pan-IgG Fc-specific secondary was optimal, yielding CSF MOG-IgG sensitivity of 90% and specificity of 98% (Youden's index 0.88). CSF MOG-IgG was positive in: 4/282 (1.4%) controls; 66/74 (89%) serum MOG-IgG positive MOGAD patients; and 9/73 (12%) serum MOG-IgG negative patients with high-risk phenotypes. Serum negative but CSF positive MOG-IgG accounted for 9/83 (11%) MOGAD patients, and all fulfilled 2023 MOGAD diagnostic criteria. Subgroup analysis of serum MOG-IgG low-positives revealed CSF MOG-IgG positivity more in MOGAD (13/16[81%]) than other diseases with false positive serum MOG-IgG (3/15[20%]) (p = 0.01). CSF MOG-IgG IBI and CSF MOG-IgG titer (both available in 29 samples) were correlated (Spearman's r = 0.64, p < 0.001). INTERPRETATION CSF MOG-IgG testing has diagnostic utility in patients with a suspicious phenotype but negative serum MOG-IgG, and those with low positive serum MOG-IgG results and diagnostic uncertainty. These findings support a role for CSF MOG-IgG testing in the appropriate clinical setting. ANN NEUROL 2024;96:34-45.
Collapse
Affiliation(s)
- Vyanka Redenbaugh
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - James P. Fryer
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Laura Cacciaguerra
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - John J. Chen
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Ophthalmology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Tammy M. Greenwood
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Michael Gilligan
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Neurology, St Vincent’s University Hospital, Dublin, Ireland
| | - Smathorn Thakolwiboon
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Masoud Majed
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Nicholas H Chia
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Andrew McKeon
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - John R. Mills
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | | | - Jan-Mendelt Tillema
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Binxia Yang
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Yahya Abdulrahman
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Kai Guo
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Nisa Vorasoot
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Division of Neurology, Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | | | - Deena A. Tajfirouz
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Ophthalmology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Michel Toledano
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Anastasia Zekeridou
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Divyanshu Dubey
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Grace Y Gombolay
- Emory University, Children’s Healthcare of Atlanta: Pediatrics Institute, USA
| | - César Caparó-Zamalloa
- Basic Research Center in Dementia and Central Nervous System Demyelinating Diseases, Instituto Nacional de Ciencias Neurológicas, Lima, Peru
| | - Ilya Kister
- Department of Neurology, Comprehensive MS Center, NYU Grossman School of Medicine, New York, USA
| | - Sean J. Pittock
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Eoin P. Flanagan
- Department of Neurology and Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine, Rochester, MN, USA
| |
Collapse
|
2
|
Li T, Chen X, Jing Y, Wang H, Zhang T, Zhang L, Ding H, Xie M, He L. Diagnostic Value of Multiparameter MRI-Based Radiomics in Pediatric Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disorders. AJNR Am J Neuroradiol 2023; 44:1425-1431. [PMID: 37973182 PMCID: PMC10714848 DOI: 10.3174/ajnr.a8045] [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: 07/06/2023] [Accepted: 09/28/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND AND PURPOSE Myelin oligodendrocyte glycoprotein antibody-associated disorders (MOGAD) have a higher prevalence among children. For children undergoing the initial manifestation of MOGAD, prompt diagnosis has paramount importance. This study assessed the performance of multiparameter MRI-based radiomics in distinguishing patients with and without MOGAD with idiopathic inflammatory demyelinating diseases. MATERIALS AND METHODS We enrolled a cohort of 121 patients diagnosed with idiopathic inflammatory demyelinating diseases, including 68 children with MOGAD and 53 children without MOGAD. Radiomics models (T1WI, T2WI, FLAIR, and compound model) using features extracted from demyelinating lesions within the brain parenchyma were developed in the training set. The performance of these models underwent validation within the internal testing set. Additionally, we gathered clinical factors and MRI features of brain parenchymal lesions at their initial presentation. Subsequently, these variables were used in the construction of a clinical prediction model through multivariate logistic regression analysis. RESULTS The areas under the curve for the radiomics models (T1WI, T2WI, FLAIR, and the compound model) in the training set were 0.781 (95% CI, 0.689-0.864), 0.959 (95% CI, 0.924-0.987), 0.939 (95% CI, 0.898-0.979), and 0.989 (95% CI, 0.976-0.999), respectively. The areas under the curve for the radiomics models (T1WI, T2WI, FLAIR, and the compound model) in the testing set were 0.500 (95% CI, 0.304-0.652), 0.833 (95% CI, 0.697-0.944), 0.804 (95% CI, 0.664-0.918), and 0.905 (95% CI, 0.803-0.979), respectively. The areas under the curve of the clinical prediction model in the training set and testing set were 0.700 and 0.289, respectively. CONCLUSIONS Multiparameter MRI-based radiomics helps distinguish MOGAD from non-MOGAD in patients with idiopathic inflammatory demyelinating diseases.
Collapse
Affiliation(s)
- Ting Li
- From the Department of Radiology (T.L., X.C., H.W., T.Z., L.Z., H.D., M.X., L.H.), Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Xin Chen
- From the Department of Radiology (T.L., X.C., H.W., T.Z., L.Z., H.D., M.X., L.H.), Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Yang Jing
- Huiying Medical Technology Co (Y.J.), Dongsheng Science and Technology Park, Beijing, China
| | - Haoru Wang
- From the Department of Radiology (T.L., X.C., H.W., T.Z., L.Z., H.D., M.X., L.H.), Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Ting Zhang
- From the Department of Radiology (T.L., X.C., H.W., T.Z., L.Z., H.D., M.X., L.H.), Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Li Zhang
- From the Department of Radiology (T.L., X.C., H.W., T.Z., L.Z., H.D., M.X., L.H.), Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Hao Ding
- From the Department of Radiology (T.L., X.C., H.W., T.Z., L.Z., H.D., M.X., L.H.), Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Mingye Xie
- From the Department of Radiology (T.L., X.C., H.W., T.Z., L.Z., H.D., M.X., L.H.), Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Ling He
- From the Department of Radiology (T.L., X.C., H.W., T.Z., L.Z., H.D., M.X., L.H.), Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| |
Collapse
|
3
|
Hor JY, Fujihara K. Epidemiology of myelin oligodendrocyte glycoprotein antibody-associated disease: a review of prevalence and incidence worldwide. Front Neurol 2023; 14:1260358. [PMID: 37789888 PMCID: PMC10542411 DOI: 10.3389/fneur.2023.1260358] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 08/15/2023] [Indexed: 10/05/2023] Open
Abstract
Myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD) is an inflammatory demyelinating disease of the central nervous system (CNS) with the presence of conformation-sensitive antibodies against MOG. The spectrum of MOGAD includes monophasic/relapsing optic neuritis, myelitis, neuromyelitis optica spectrum disorder (NMOSD) phenotype without aquaporin 4 (AQP4) antibodies, acute/multiphasic demyelinating encephalomyelitis (ADEM/MDEM)-like presentation, and brainstem and cerebral cortical encephalitis. There is no apparent female preponderance in MOGAD, and MOGAD can onset in all age groups (age at onset is approximately 30 years on average, and approximately 30% of cases are in the pediatric age group). While prevalence and incidence data have been available for AQP4+ NMOSD globally, such data are only beginning to accumulate for MOGAD. We reviewed the currently available data from population-based MOGAD studies conducted around the world: three studies in Europe, three in Asia, and one joint study in the Americas. The prevalence of MOGAD is approximately 1.3-2.5/100,000, and the annual incidence is approximately 3.4-4.8 per million. Among White people, the prevalence of MOGAD appears to be slightly higher than that of AQP4+ NMOSD. No obvious latitude gradient was observed in the Japanese nationwide survey. The data available so far showed no obvious racial preponderance or strong HLA associations in MOGAD. However, precedent infection was reported in approximately 20-40% of MOGAD cases, and this is worthy of further investigation. Co-existing autoimmune disorders are less common in MOGAD than in AQP4+ NMOSD, but NMDAR antibodies may occasionally be positive in patients with MOGAD. More population-based studies in different populations and regions are useful to further inform the epidemiology of this disease.
Collapse
Affiliation(s)
- Jyh Yung Hor
- Department of Neurology, Penang General Hospital, Penang, Malaysia
| | - Kazuo Fujihara
- Department of Multiple Sclerosis Therapeutics, Fukushima Medical University School of Medicine, Koriyama, Japan
- Multiple Sclerosis and Neuromyelitis Optica Center, Southern TOHOKU Research Institute for Neuroscience, Koriyama, Japan
| |
Collapse
|
4
|
Li X, Wu W, Hou C, Zeng Y, Wu W, Chen L, Liao Y, Zhu H, Tian Y, Peng B, Zheng K, Shi K, Li Y, Gao Y, Zhang Y, Lin H, Chen WX. Pediatric myelin oligodendrocyte glycoprotein antibody-associated disease in southern China: analysis of 93 cases. Front Immunol 2023; 14:1162647. [PMID: 37342342 PMCID: PMC10277863 DOI: 10.3389/fimmu.2023.1162647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 05/22/2023] [Indexed: 06/22/2023] Open
Abstract
Objective To study the clinical features of children diagnosed with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) in southern China. Methods Clinical data of children diagnosed with MOGAD from April 2014 to September 2021 were analyzed. Results A total of 93 children (M/F=45/48; median onset age=6.0 y) with MOGAD were involved. Seizures or limb paralysis was the most common onset or course symptom, respectively. The most common lesion locations in brain MRI, orbital MRI, and spinal cord MRI were basal ganglia and subcortical white matter, the orbital segment of the optic nerve, and the cervical segment, respectively. ADEM (58.10%) was the most common clinical phenotype. The relapse rate was 24.7%. Compared with the patients without relapse, relapsed patients had a longer interval from onset to diagnosis (median: 19 days VS 20 days) and higher MOG antibody titer at onset (median: 1:32 VS 1:100) with longer positively persistent (median: 3 months VS 24 months). All patients received IVMP plus IVIG at the acute phase, and 96.8% of patients achieved remission after one to three courses of treatment. MMF, monthly IVIG, and maintaining a low dose of oral prednisone were used alone or in combination as maintenance immunotherapy for relapsed patients and effectively reduced relapse. It transpired 41.9% of patients had neurological sequelae, with movement disorder being the most common. Compared with patients without sequelae, patients with sequelae had higher MOG antibody titer at onset (median: 1:32 VS 1:100) with longer persistence (median: 3 months VS 6 months) and higher disease relapse rate (14.8% VS 38.5%). Conclusions Results showed the following about pediatric MOGAD in southern China: the median onset age was 6.0 years, with no obvious sex distribution difference; seizure or limb paralysis, respectively, are the most common onset or course symptom; the lesions of basal ganglia, subcortical white matter, the orbital segment of the optic nerve, and cervical segment were commonly involved in the CNS MRI; ADEM was the most common clinical phenotype; most had a good response to immunotherapy; although the relapse rate was relatively high, MMF, monthly IVIG and a low dose of oral prednisone might effectively reduce relapse; neurological sequelae were common, and possibly associated with MOG antibody status and disease relapse.
Collapse
|
5
|
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: 352] [Impact Index Per Article: 352.0] [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.
Collapse
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
| |
Collapse
|
6
|
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.
Collapse
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
| |
Collapse
|
7
|
Molazadeh N, Bose G, Lotan I, Levy M. Autoimmune diseases and cancers overlapping with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD): A systematic review. Mult Scler J Exp Transl Clin 2022; 8:20552173221128170. [PMID: 36311694 PMCID: PMC9597055 DOI: 10.1177/20552173221128170] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 09/06/2022] [Indexed: 11/24/2022] Open
Abstract
Background Myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) has various similarities with AQP4-IgG-seropositive Neuromyelitis Optica Spectrum Disorder (AQP4-IgG + NMOSD) in terms of clinical presentations, magnetic resonance imaging (MRI) findings, and response to treatment. But unlike AQP4-IgG + NMOSD, which is known to coexist with various autoimmune diseases and cancers, an association of MOGAD with these conditions is less clear. Methods We conducted a systematic search in PubMed, Scopus, Web of Science, and Embase based on the preferred reporting items for systematic reviews and meta-analysis (PRISMA). Duplicates were removed using Mendeley 1.19.8 (USA production) and the citations were uploaded into Covidence systematic review platform for screening. Results The most common autoimmune disease overlapping with MOGAD was anti-N-Methyl-D-Aspartate receptor encephalitis (anti-NMDAR-EN), followed by autoimmune thyroid disorders, and the most common autoantibody was antinuclear antibody (ANA), followed by AQP4-IgG (double-positive MOG-IgG and AQP4-IgG). A few sporadic cases of cancers and MOG-IgG-associated paraneoplastic encephalomyelitis were found. Conclusion Unlike AQP4-IgG + NMOSD, MOGAD lacks clustering of autoimmune diseases and autoantibodies associated with systemic and organ-specific autoimmunity. Other than anti-NMDAR-EN and perhaps AQP4-IgG + NMOSD, the evidence thus far does not support the need for routine screening of overlapping autoimmunity and neoplasms in patients with MOGAD.
Collapse
Affiliation(s)
- Negar Molazadeh
- Negar Molazadeh, Neuromyelitis Optica
Research Laboratory, Division of Neuroimmunology & Neuroinfectious Disease,
Department of Neurology, Massachusetts General Hospital, Building 114, 16th St,
Room 3150, Charlestown, MA 02129, USA.
Twitter: http://twitter.com/NegarMowlazadeh
| | - Gauruv Bose
- Department of Neurology, Massachusetts General
Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Itay Lotan
- Department of Neurology, Massachusetts General
Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Michael Levy
- Department of Neurology, Massachusetts General
Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| |
Collapse
|
8
|
Liu R, Du S, Zhao L, Jain S, Sahay K, Rizvanov A, Lezhnyova V, Khaibullin T, Martynova E, Khaiboullina S, Baranwal M. Autoreactive lymphocytes in multiple sclerosis: Pathogenesis and treatment target. Front Immunol 2022; 13:996469. [PMID: 36211343 PMCID: PMC9539795 DOI: 10.3389/fimmu.2022.996469] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 09/08/2022] [Indexed: 11/13/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) characterized by destruction of the myelin sheath structure. The loss of myelin leads to damage of a neuron’s axon and cell body, which is identified as brain lesions on magnetic resonance image (MRI). The pathogenesis of MS remains largely unknown. However, immune mechanisms, especially those linked to the aberrant lymphocyte activity, are mainly responsible for neuronal damage. Th1 and Th17 populations of lymphocytes were primarily associated with MS pathogenesis. These lymphocytes are essential for differentiation of encephalitogenic CD8+ T cell and Th17 lymphocyte crossing the blood brain barrier and targeting myelin sheath in the CNS. B-lymphocytes could also contribute to MS pathogenesis by producing anti-myelin basic protein antibodies. In later studies, aberrant function of Treg and Th9 cells was identified as contributing to MS. This review summarizes the aberrant function and count of lymphocyte, and the contributions of these cell to the mechanisms of MS. Additionally, we have outlined the novel MS therapeutics aimed to amend the aberrant function or counts of these lymphocytes.
Collapse
Affiliation(s)
- Rongzeng Liu
- Department of Immunology, School of Basic Medical Sciences, Henan University of Science and Technology, Luoyang, China
| | - Shushu Du
- Department of Immunology, School of Basic Medical Sciences, Henan University of Science and Technology, Luoyang, China
| | - Lili Zhao
- Department of Immunology, School of Basic Medical Sciences, Henan University of Science and Technology, Luoyang, China
| | - Sahil Jain
- Department of Biochemistry and Molecular Biology, Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel
| | - Kritika Sahay
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
| | - Albert Rizvanov
- Gene and cell Department, Kazan Federal University, Kazan, Russia
| | - Vera Lezhnyova
- Gene and cell Department, Kazan Federal University, Kazan, Russia
| | - Timur Khaibullin
- Neurological Department, Republican Clinical Neurological Center, Kazan, Russia
| | | | - Svetlana Khaiboullina
- Gene and cell Department, Kazan Federal University, Kazan, Russia
- *Correspondence: Svetlana Khaiboullina, ; Manoj Baranwal, ;
| | - Manoj Baranwal
- Department of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India
- *Correspondence: Svetlana Khaiboullina, ; Manoj Baranwal, ;
| |
Collapse
|
9
|
Meta-analysis of effectiveness of steroid-sparing attack prevention in MOG-IgG-associated disorder. Mult Scler Relat Disord 2021; 56:103310. [PMID: 34634625 DOI: 10.1016/j.msard.2021.103310] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/15/2021] [Accepted: 10/02/2021] [Indexed: 12/25/2022]
Abstract
OBJECTIVE To estimate the efficacy of the commonly used long-term immunotherapies in myelin oligodendrocyte glycoprotein IgG associated disorder (MOGAD) METHOD: A comprehensive search of the databases including PubMed/MEDLINE, EMBASE, and Cochrane database was performed for all studies that assessed the efficacy of azathioprine (AZA), mycophenolate mofetil (MMF), rituximab (RTX), and maintenance intravenous immunoglobulin (mIVIG) in MOGAD. The random-effect model is used to estimate the standard mean difference (SMD) of annualized relapse rate (ARR) and expanded disability status scale (EDSS), mean ARR, probabilities of relapse and worsening EDSS during treatment. RESULTS The initial search identified 714 articles, and 21 satisfied eligibility criteria. All immunotherapies significantly reduced ARR in both pediatric and adult populations. Relapse probabilities and pooled mean ARR (SE: standard error) during therapies were as follow: AZA 53.1% [95%CI 37.4% to 68.2%; ARR 0.291 (0.134)], MMF 38.5% [95%CI 19.4% to 62.0%; ARR 0.836 (0.176)], RTX 48.9% [95%CI 37.8% to 60.2%; ARR 0.629(0.162)], and mIVIG 25.3% [95%CI 14.0% to 41.3%; ARR 0.081 (0.058)]. Only RTX significantly improved EDSS, SMD -0.499 (95%CI -0.996 to -0.003). The proportion of worsening EDSS with immunotherapies were 20.7% (95%CI 8.8% to 41.6%), 8.1% (95%CI 1.1% to 41.2%), and 10.8% (95%CI 3.8% to 26.8%) for AZA, MMF, and RTX, respectively. CONCLUSION These commonly used immunotherapies significantly reduced ARR in MOGAD. Only RTX had a significant benefit in EDSS improvement. However, a substantial portion of patients continued to relapse with treatment. Randomized controlled studies are needed to verify these findings and perform head-to-head comparisons among these treatment options.
Collapse
|
10
|
Liu C, Shi M, Zhu M, Chu F, Jin T, Zhu J. Comparisons of clinical phenotype, radiological and laboratory features, and therapy of neuromyelitis optica spectrum disorder by regions: update and challenges. Autoimmun Rev 2021; 21:102921. [PMID: 34384938 DOI: 10.1016/j.autrev.2021.102921] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 08/08/2021] [Indexed: 11/26/2022]
Abstract
Neuromyelitis optica spectrum disorder (NMOSD) is an inflammatory demyelinating disease of the central nervous system (CNS) associated with autoantibody (ab) to aquaporin-4 (AQP4). There is obvious variation between regions and countries in the epidemiology, clinical features and management in NMOSD. Based on published population-based observation and cohort studies, the different clinical pattern of NMOSD has been seen in several geographical regions and some of these patients with NMOSD-like features do not fully meet the current diagnostic criteria, which is needed to consider the value of recently revised diagnostic criteria. At present, all treatments applied in NMOSD have made great progress, however, these treatments failed in AQP4 ab negative and refractory patients. Therefore, it is necessary to turn into an innovative idea and to open a new era of NMOSD treatment to develop novel and diverse targets and effective therapeutic drugs in NMOSD and to conduct the trails in large clinical samples and case-control studies to confirm their therapeutic effects on NMOSD in the future, which still remain a challenge.
Collapse
Affiliation(s)
- Caiyun Liu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
| | - Mingchao Shi
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
| | - Mingqin Zhu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
| | - Fengna Chu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
| | - Tao Jin
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China.
| | - Jie Zhu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China; Department of Neurobiology, Care Sciences & Society, Division of Neurogeriatrcs, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden.
| |
Collapse
|