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Clinical characteristics of myelin oligodendrocyte glycoprotein antibody-associated disease according to their epitopes

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Abstract
Background: The detection of myelin oligodendrocyte glycoprotein autoantibodies (MOG-Ab) is essential for the diagnosis of MOG-Ab-associated disease (MOGAD). The clinical implications of different epitopes recognized by MOG-Ab are largely unknown. In this study, we established an in-house cell-based immunoassay for detecting MOG-Ab epitopes and examined the clinical characteristics of patients with MOG-Ab according to their epitopes.

Methods: We conducted a retrospective review of patients with MOG-Ab-associated disease (MOGAD) in our single center registry, and collected serum samples from enrolled patients. Human MOG variants were generated to detect epitopes recognized by MOG-Ab. The differences in clinical characteristics according to the presence of reactivity to MOG Proline42 (P42) were evaluated.

Results: Fifty five patients with MOGAD were enrolled. Optic neuritis was the most common presenting syndrome. The P42 position of MOG was a major epitope of MOG-Ab. The patients with a monophasic clinical course and childhood-onset patients were only observed in the group that showed reactivity to the P42 epitope.

Conclusion: We developed an in-house cell-based immunoassay to analyze the epitopes of MOG-Ab. The P42 position of MOG is the primary target of MOG-Ab in Korean patients with MOGAD. Further studies are needed to determine the predictive value of MOG-Ab and its epitopes.
All Author(s)
Jin Myoung Seok ; Mi Young Jeon ; Yeon Hak Chung ; Hyunjin Ju ; Hye Lim Lee ; Soonwook Kwon ; Ju-Hong Min ; Eun-Suk Kang ; Byoung Joon Kim
Issued Date
2023
Type
Article
Keyword
autoantibodiescentral nervous system demyelinating diseasesepitopesimmunoassaymyelin oligodendrocyte glycoprotein
Publisher
Frontiers Research Foundation
ISSN
1664-2295
Citation Title
Frontiers in neurology
Citation Volume
14
Citation Start Page
1200961
Citation End Page
1200961
Language(ISO)
eng
DOI
10.3389/fneur.2023.1200961
URI
http://schca-ir.schmc.ac.kr/handle/2022.oak/3397
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