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Differentiated pattern of complement system activation between MOG-IgG-associated disease and AQP4-IgG-positive neuromyelitis optica spectrum disorderopen access

Authors
Cho, Eun BinMin, Ju-HongWaters, PatrickJeon, MiyoungJu, Eun-SeonKim, Ho JinKim, Su-HyunShin, Ha YoungKang, Sa-YoonLim, Young-MinOh, Sun-YoungLee, Hye LimSohn, EunheeLee, Sang-SooOh, JeeyoungKim, SunyoungHuh, So-YoungCho, Joong-YangSeok, Jin MyoungKim, Byung-JoKim, Byoung Joon
Issue Date
Mar-2024
Publisher
Frontiers Media SA
Keywords
alternative complement activity; classical complement cascade; complement; myelin oligodendrocyte glycoprotein; neuromyelitis optica spectrum disorder; terminal complement complex (sC5b-9)
Citation
Frontiers in Immunology, v.15
Indexed
SCIE
SCOPUS
Journal Title
Frontiers in Immunology
Volume
15
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/70291
DOI
10.3389/fimmu.2024.1320094
ISSN
1664-3224
1664-3224
Abstract
Background: Myelin oligodendrocyte glycoprotein antibody (MOG) immunoglobulin G (IgG)-associated disease (MOGAD) has clinical and pathophysiological features that are similar to but distinct from those of aquaporin-4 antibody (AQP4-IgG)-positive neuromyelitis optica spectrum disorders (AQP4-NMOSD). MOG-IgG and AQP4-IgG, mostly of the IgG1 subtype, can both activate the complement system. Therefore, we investigated whether the levels of serum complement components, regulators, and activation products differ between MOGAD and AQP4-NMOSD, and if complement analytes can be utilized to differentiate between these diseases. Methods: The sera of patients with MOGAD (from during an attack and remission; N=19 and N=9, respectively) and AQP4-NMOSD (N=35 and N=17), and healthy controls (N=38) were analyzed for C1q-binding circulating immune complex (CIC-C1q), C1 inhibitor (C1-INH), factor H (FH), C3, iC3b, and soluble terminal complement complex (sC5b-9). Results: In attack samples, the levels of C1-INH, FH, and iC3b were higher in the MOGAD group than in the NMOSD group (all, p<0.001), while the level of sC5b-9 was increased only in the NMOSD group. In MOGAD, there were no differences in the concentrations of complement analytes based on disease status. However, within AQP4-NMOSD, remission samples indicated a higher C1-INH level than attack samples (p=0.003). Notably, AQP4-NMOSD patients on medications during attack showed lower levels of iC3b (p<0.001) and higher levels of C3 (p=0.008), C1-INH (p=0.004), and sC5b-9 (p<0.001) compared to those not on medication. Among patients not on medication at the time of attack sampling, serum MOG-IgG cell-based assay (CBA) score had a positive correlation with iC3b and C1-INH levels (rho=0.764 and p=0.010, and rho=0.629 and p=0.049, respectively), and AQP4-IgG CBA score had a positive correlation with C1-INH level (rho=0.836, p=0.003). Conclusions: This study indicates a higher prominence of complement pathway activation and subsequent C3 degradation in MOGAD compared to AQP4-NMOSD. On the other hand, the production of terminal complement complexes (TCC) was found to be more substantial in AQP4-NMOSD than in MOGAD. These findings suggest a strong regulation of the complement system, implying its potential involvement in the pathogenesis of MOGAD through mechanisms that extend beyond TCC formation. Copyright © 2024 Cho, Min, Waters, Jeon, Ju, Kim, Kim, Shin, Kang, Lim, Oh, Lee, Sohn, Lee, Oh, Kim, Huh, Cho, Seok, Kim and Kim.
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