Clinical characteristics of myelin oligodendrocyte glycoprotein antibody-associated disease according to their epitopes
- 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
- autoantibodies; central nervous system demyelinating diseases; epitopes; immunoassay; myelin 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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