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Volumetric Brain Loss Correlates With a Relapsing MOGAD Disease Course
BACKGROUND: Myelin oligodendrocyte glycoprotein antibody disorders (MOGAD) have evolved as a distinct group of inflammatory, demyelinating diseases of the CNS. MOGAD can present with a monophasic or relapsing disease course with distinct clinical manifestations.However, data on the disease course an...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987978/ https://www.ncbi.nlm.nih.gov/pubmed/35401390 http://dx.doi.org/10.3389/fneur.2022.867190 |
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author | Rechtman, Ariel Brill, Livnat Zveik, Omri Uliel, Benjamin Haham, Nitzan Bick, Atira S. Levin, Netta Vaknin-Dembinsky, Adi |
author_facet | Rechtman, Ariel Brill, Livnat Zveik, Omri Uliel, Benjamin Haham, Nitzan Bick, Atira S. Levin, Netta Vaknin-Dembinsky, Adi |
author_sort | Rechtman, Ariel |
collection | PubMed |
description | BACKGROUND: Myelin oligodendrocyte glycoprotein antibody disorders (MOGAD) have evolved as a distinct group of inflammatory, demyelinating diseases of the CNS. MOGAD can present with a monophasic or relapsing disease course with distinct clinical manifestations.However, data on the disease course and disability outcomes of these patients are scarce. We aim to compare brain volumetric changes for MOGAD patients with different disease phenotypes and HCs. METHODS: Brain magnetic resonance imaging (MRI) scans and clinical data were obtained for 22 MOGAD patients and 22 HCs. Volumetric brain information was determined using volBrain and MDbrain platforms. RESULTS: We found decreased brain volume in MOGAD patients compared to HCs, as identified in volume of total brain, gray matter, white matter and deep gray matter (DGM) structures. In addition, we found significantly different volumetric changes between patients with relapsing and monophasic disease course, with significantly decreased volume of total brain and DGM, cerebellum and hippocampus in relapsing patients during the first year of diagnosis. A significant negative correlation was found between EDSS and volume of thalamus. CONCLUSIONS: Brain MRI analyses revealed volumetric differences between MOGAD patients and HCs, and between patients with different disease phenotypes. Decreased gray matter volume during the first year of diagnosis, especially in the cerebrum and hippocampus of MOGAD patients was associated with relapsing disease course. |
format | Online Article Text |
id | pubmed-8987978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89879782022-04-08 Volumetric Brain Loss Correlates With a Relapsing MOGAD Disease Course Rechtman, Ariel Brill, Livnat Zveik, Omri Uliel, Benjamin Haham, Nitzan Bick, Atira S. Levin, Netta Vaknin-Dembinsky, Adi Front Neurol Neurology BACKGROUND: Myelin oligodendrocyte glycoprotein antibody disorders (MOGAD) have evolved as a distinct group of inflammatory, demyelinating diseases of the CNS. MOGAD can present with a monophasic or relapsing disease course with distinct clinical manifestations.However, data on the disease course and disability outcomes of these patients are scarce. We aim to compare brain volumetric changes for MOGAD patients with different disease phenotypes and HCs. METHODS: Brain magnetic resonance imaging (MRI) scans and clinical data were obtained for 22 MOGAD patients and 22 HCs. Volumetric brain information was determined using volBrain and MDbrain platforms. RESULTS: We found decreased brain volume in MOGAD patients compared to HCs, as identified in volume of total brain, gray matter, white matter and deep gray matter (DGM) structures. In addition, we found significantly different volumetric changes between patients with relapsing and monophasic disease course, with significantly decreased volume of total brain and DGM, cerebellum and hippocampus in relapsing patients during the first year of diagnosis. A significant negative correlation was found between EDSS and volume of thalamus. CONCLUSIONS: Brain MRI analyses revealed volumetric differences between MOGAD patients and HCs, and between patients with different disease phenotypes. Decreased gray matter volume during the first year of diagnosis, especially in the cerebrum and hippocampus of MOGAD patients was associated with relapsing disease course. Frontiers Media S.A. 2022-03-24 /pmc/articles/PMC8987978/ /pubmed/35401390 http://dx.doi.org/10.3389/fneur.2022.867190 Text en Copyright © 2022 Rechtman, Brill, Zveik, Uliel, Haham, Bick, Levin and Vaknin-Dembinsky. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Rechtman, Ariel Brill, Livnat Zveik, Omri Uliel, Benjamin Haham, Nitzan Bick, Atira S. Levin, Netta Vaknin-Dembinsky, Adi Volumetric Brain Loss Correlates With a Relapsing MOGAD Disease Course |
title | Volumetric Brain Loss Correlates With a Relapsing MOGAD Disease Course |
title_full | Volumetric Brain Loss Correlates With a Relapsing MOGAD Disease Course |
title_fullStr | Volumetric Brain Loss Correlates With a Relapsing MOGAD Disease Course |
title_full_unstemmed | Volumetric Brain Loss Correlates With a Relapsing MOGAD Disease Course |
title_short | Volumetric Brain Loss Correlates With a Relapsing MOGAD Disease Course |
title_sort | volumetric brain loss correlates with a relapsing mogad disease course |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987978/ https://www.ncbi.nlm.nih.gov/pubmed/35401390 http://dx.doi.org/10.3389/fneur.2022.867190 |
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