Literature DB >> 32184342

Serum biomarkers in myelin oligodendrocyte glycoprotein antibody-associated disease.

Hyunjin Kim1, Eun-Jae Lee1, Seungmi Kim1, Lyn-Kyung Choi1, Keonwoo Kim1, Hye Weon Kim1, Kwang-Kuk Kim1, Young-Min Lim2.   

Abstract

OBJECTIVE: To test the hypothesis that the pattern of serum biomarkers of disease activity and disability in myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) will be different from those in neuromyelitis optica spectrum disorder (NMOSD) with anti-aquaporin-4 antibodies (AQP4-Abs).
METHODS: Using ultrasensitive single-molecule array assays, we measured neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), and tau in the sera of consecutive patients with MOGAD (n = 16) and NMOSD with AQP4-Ab (n = 33). Serum biomarker levels were compared between patients in relapse and remission states, and correlations between the levels of these biomarkers and Expanded Disability Status Scale (EDSS) scores were analyzed within each group.
RESULTS: In the MOGAD group, the serum tau level was higher in a relapse state than in a remission state (relapse vs remission: 0.5 [0.4-0.5] vs 0.2 [0.1-0.3] pg/mL, p = 0.027). Both serum levels of NfL and tau correlated with the EDSS score (NfL: r = 0.684, p = 0.003; tau: r = 0.524, p = 0.045). Meanwhile, in the NMOSD group, serum NfL and GFAP levels were higher in a relapse state than in a remission state (relapse vs remission: NfL, 34.8 [12.2-62.3] vs 13.0 [11.3-20.0] pg/mL, p = 0.010; GFAP, 253.8 [150.6-303.0] vs 104.4 [93.9-127.9] pg/mL, p = 0.016). Only the serum GFAP level correlated with the EDSS score (r = 0.485, p = 0.012).
CONCLUSION: The pattern of serum biomarkers of disease activity and disability in MOGAD showed a distinct feature from those in NMOSD with AQP4-Ab, which implicates different pathogeneses between the 2 diseases.
Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

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Year:  2020        PMID: 32184342      PMCID: PMC7136043          DOI: 10.1212/NXI.0000000000000708

Source DB:  PubMed          Journal:  Neurol Neuroimmunol Neuroinflamm        ISSN: 2332-7812


Myelin oligodendrocyte glycoprotein (MOG) is expressed at the surfaces of myelin sheaths and oligodendrocytes.[1] Anti-MOG antibodies (MOG-Abs) were initially reported in a subgroup of seronegative neuromyelitis optica spectrum disorder (NMOSD).[2] However, neuropathologic findings of MOG-Abs cases showed confluent demyelination with oligodendrocytopathy, distinct from those of NMOSD with anti–aquaporin-4 antibodies (AQP4-Abs), known as astrocytopathy.[1,3] MOG-Ab–associated disease (MOGAD) was recently proposed as a distinct CNS demyelinating disease rather than a subgroup of seronegative NMOSD.[4] Serum biomarkers for MOGAD have rarely been investigated. Because of distinct pathogenesis of the 2 diseases, we hypothesized that the pattern of serum biomarkers of disease activity and disability in MOGAD would be different from those in NMOSD with AQP4-Abs. To test this hypothesis, we investigated serum levels of neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), and tau in patients with MOGAD and NMOSD.

Methods

We prospectively recruited consecutive patients with MOGAD, CNS demyelinating syndromes associated with MOG-Abs,[2,3] and those with NMOSD with AQP4-Abs, according to international consensus criteria (2015). Patients visited Asan Medical Center (Seoul, South Korea) between July 2018 and February 2019; AQP4-Abs and MOG-Abs were confirmed twice (>1:40 titer) by a commercial fixed cell-based assay (Euroimmun, Lübeck, Germany). Patients were simultaneously enrolled and sampled when they visited the hospital during the study period, regardless of the presence of clinical events. The Expanded Disability Status Scale (EDSS) score was evaluated at the enrollment. We only included patients who experienced clinical relapses in the 2 preceding years, so we could balance the patients' clinical statuses between the 2 diseases. We defined the relapse state as the presence of clinical relapse 2 months before enrollment/sampling. Serum biomarker levels were compared between patients with and without relapse to examine whether the biomarkers reflected recent disease activity. Serum concentrations of NfL, GFAP, and tau (total tau) were measured in duplicate using a Simoa HD-1 Analyzer (Quanterix, Billerica, MA) by an investigator blinded to the clinical information. Analysis of covariance was conducted for serum biomarker comparisons after age and EDSS score adjustments. Receiver operating characteristic (ROC) curve analysis to determine the cutoff value for differentiating relapse state in each disease was performed. Pearson correlation coefficients were calculated to describe correlations between the log-transformed serum biomarker levels and clinical variables (age and EDSS score) within each disease. Variables with 2-tailed p < 0.05 were considered significant. All statistical analyses were performed with SPSS version 21.0 software. This study was approved by the institutional review board, and written informed consent was obtained from all participants.

Data availability

Anonymized data will be available on requests.

Results

Baseline characteristics

Among 418 patients who underwent MOG and APQ4-Ab testing, 19 showed positive results for MOG-Abs, and 63 were positive for AQP4-Abs. We excluded 3 and 30 patients in each respective group who had experienced relapses more than 2 years previously. Finally, 16 patients in the MOGAD group and 33 in the NMOSD group were included (figure e-1, links.lww.com/NXI/A228). The number of days from the last relapse to blood sampling was comparable between the 2 groups (median [interquartile range], MOGAD: 90 [11.75–189.25] vs NMOSD: 128 [37.5–402] days, p = 0.117). Baseline characteristics are presented in table 1.
Table 1

Baseline characteristics of patients with MOGAD and NMOSD with AQP4-Abs

Baseline characteristics of patients with MOGAD and NMOSD with AQP4-Abs

Serum biomarker levels

Serum NfL and tau levels were comparable in patients with MOGAD and NMOSD (MOGAD vs NMOSD: NfL, 10.7 [7.7–17.5] vs 15.2 [12.1–24.8] pg/mL, p = 0.363; tau, 0.4 [0.2–0.5] vs 0.5 [0.4–0.8] pg/mL, p = 0.066; figure 1, A and E), whereas the serum GFAP level was significantly lower in patients with MOGAD (MOGAD vs NMOSD: 90.2 [59.9–116.1] vs 123.1 [95.3–234.1] pg/mL, p = 0.020; figure 1C). In subgroup analysis, according to their clinical status, the trend of higher GFAP levels in the NMOSD group than in the MOGAD group was also observed in both relapse and remission state (table e-1, links.lww.com/NXI/A229).
Figure 1

Comparison of serum biomarkers in patients with MOGAD and NMOSD with AQP4-Ab

(A and B) Serum NfL levels, (C and D) serum GFAP levels, and (E and F) serum tau levels were compared between patients with MOGAD and NMOSD with AQP4-Abs. In panels A, C, and E, all samples from each group were included. In panels B, D, and F, each group was subdivided into relapse and remission states. The line in the center represents the median. The whiskers indicate the interquartile range. The p values were obtained via analysis of covariance, adjusted for age and Expanded Disability Status Scale score. *p < 0.05. AQP4-Abs = anti-aquaporin-4 antibodies; GFAP = glial fibrillary acidic protein; MOGAD = myelin oligodendrocyte glycoprotein antibody–associated disease; NfL = neurofilament light chain; NMOSD = neuromyelitis optica spectrum disorder.

Comparison of serum biomarkers in patients with MOGAD and NMOSD with AQP4-Ab

(A and B) Serum NfL levels, (C and D) serum GFAP levels, and (E and F) serum tau levels were compared between patients with MOGAD and NMOSD with AQP4-Abs. In panels A, C, and E, all samples from each group were included. In panels B, D, and F, each group was subdivided into relapse and remission states. The line in the center represents the median. The whiskers indicate the interquartile range. The p values were obtained via analysis of covariance, adjusted for age and Expanded Disability Status Scale score. *p < 0.05. AQP4-Abs = anti-aquaporin-4 antibodies; GFAP = glial fibrillary acidic protein; MOGAD = myelin oligodendrocyte glycoprotein antibody–associated disease; NfL = neurofilament light chain; NMOSD = neuromyelitis optica spectrum disorder.

Disease activity

In patients with MOGAD, the serum tau level was higher in relapse than in remission (relapse vs remission: 0.5 [0.4–0.5] vs 0.2 [0.1–0.3] pg/mL, p = 0.027; figure 1F), but the serum NfL and GFAP levels were comparable (NfL, 10.2 [7.4–22.9] vs 10.9 [7.7–16.3] pg/mL, p = 0.836; GFAP, 102.5 [87.1–142.0] vs 68.4 [58.9–115.0] pg/mL, p = 0.260; figure 1, B and D). In patients with NMOSD, the serum NfL and GFAP levels were higher in a relapse than remission state (NfL, 34.8 [12.2–62.3] vs 13.0 [11.3–20.0] pg/mL, p = 0.010; GFAP, 253.8 [150.6–303.0] vs 104.4 [93.9–127.9] pg/mL, p = 0.016; figure 1, B and D), but serum tau levels were comparable (0.5 [0.1–1.0] vs 0.5 [0.4–0.8] pg/mL, p = 0.563; figure 1F). The ROC analysis revealed an area under the curve of 0.813 for serum GFAP in patients with NMOSD and 0.875 for serum tau in patients with MOGAD. Serum GFAP levels ≥128.55 pg/mL suggested a relapse state in the NMOSD group (sensitivity: 75.0%, specificity: 77.8%), whereas serum tau levels ≥0.37 pg/mL suggested a relapse state in the MOGAD group (sensitivity: 85.7%, specificity: 87.5%).

Disease disability

We evaluated correlations between serum biomarkers and clinical variables (age and EDSS score). In the MOGAD group, no biomarkers showed significant correlations with age (NfL: r = 0.068, p = 0.802; GFAP: r = −0.097, p = 0.720; tau: r = −0.194, p = 0.489; figure 2, A–C). Serum NfL and tau levels correlated with the EDSS score (NfL: r = 0.684, p = 0.003; tau: r = 0.524, p = 0.045; figure 2, D and F), but the serum GFAP level did not (r = 0.107, p = 0.693; figure 2E).
Figure 2

Correlation of serum biomarkers with age and EDSS score

Correlation between age and serum levels of (A) NfL, (B) GFAP, and (C) tau in patients with MOGAD or NMOSD with anti–aquaporin-4 antibodies (AQP4-Abs). Correlation of the serum level with (D) NfL, (E) GFAP, and (F) tau with the EDSS score in patients with MOGAD or NMOSD with AQP4-Abs. The dotted lines indicate 95% CIs. EDSS = Expanded Disability Status Scale; GFAP = glial fibrillary acidic protein; MOGAD = myelin oligodendrocyte glycoprotein antibody–associated disease; NfL = neurofilament light chain; NMOSD = neuromyelitis optica spectrum disorder.

Correlation of serum biomarkers with age and EDSS score

Correlation between age and serum levels of (A) NfL, (B) GFAP, and (C) tau in patients with MOGAD or NMOSD with anti–aquaporin-4 antibodies (AQP4-Abs). Correlation of the serum level with (D) NfL, (E) GFAP, and (F) tau with the EDSS score in patients with MOGAD or NMOSD with AQP4-Abs. The dotted lines indicate 95% CIs. EDSS = Expanded Disability Status Scale; GFAP = glial fibrillary acidic protein; MOGAD = myelin oligodendrocyte glycoprotein antibody–associated disease; NfL = neurofilament light chain; NMOSD = neuromyelitis optica spectrum disorder. In the NMOSD group, only serum NfL levels correlated with age (NfL: r = 0.504, p = 0.004; GFAP: r = 0.251, p = 0.217; tau: r = −0.192, p = 0.300; figure 2, A–C). The serum GFAP levels significantly increased with the EDSS score (r = 0.485, p = 0.012; figure 2E), but the serum NfL and tau levels did not correlate with the EDSS score (NfL: r = 0.220, p = 0.234; tau: r = 0.068, p = 0.716; figure 2, D and F). The adjustment for sex and treatment status did not affect the statistical significance of these correlations (tables e-2 and e-3, links.lww.com/NXI/A229).

Discussion

In the MOGAD group, the serum tau level was higher in relapse than in remission; the serum NfL and tau levels correlated with the EDSS score. In the NMOSD group, the serum NfL and GFAP levels were higher in relapse than in remission; the serum GFAP level correlated with the EDSS score. Tau is an abundant microtubule-associated protein in neurons.[5] In addition to NfL, tau has been proposed as another axonal damage biomarker. However, the results of tau as a biomarker for MS are disputable.[6,7] In this study, we showed serum tau acted as a MOGAD biomarker. Because tau is also located in oligodendrocytes, playing crucial roles in oligodendrocyte process extension and myelination,[5] we assumed that MOG-Abs targeted the MOG at the oligodendrocyte process and released tau from the process itself. The neuropathologic findings of MOGAD, which showed relative preservation of axons and astrocytes, supported the finding of stable NfL and GFAP following relapses.[1,3] NfL and GFAP are considered to represent neuroaxonal and astrocyte damage, respectively. Previous studies reported that serum NfL increased with the EDSS score in patients with MS, NMOSD, and MOGAD.[8-10] We confirmed that serum NfL correlated with the EDSS score of patients with MOGAD and showed a tendency to increase alongside the EDSS score of patients with NMOSD; however, we could not achieve statistical significance, likely due to the small number of patients in our study. We also confirmed that the serum GFAP level reflected recent disease activity and correlated with the EDSS score of patients with NMOSD.[10] Our biomarker analysis reinforced the pathophysiology of MOGAD and NMOSD. Serum tau and GFAP reflected oligodendrocytopathy by MOG-Ab and astrocytopathy by AQP4-Ab in each of the 2 diseases, respectively. NfL reflected secondary axonal injury and, as such, acted as a common biomarker for both diseases. Several limitations should be noted. We assessed patients of a single ethnicity from a single center, which implies a lack of generalizability. Longitudinal follow-up data to verify the clinical value of these biomarkers are also lacking. The results should be interpreted cautiously because the number of included patients was small. The pattern of serum biomarkers of disease activity and disability in MOGAD showed a distinct feature from those in NMOSD with AQP4-Ab, which implicates different pathogeneses between the 2 diseases. Furthermore, our study indicated that the serum tau level may play a role as a biomarker in patients with MOGAD.
  10 in total

Review 1.  Myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease: practical considerations.

Authors:  Maciej Juryńczyk; Anu Jacob; Kazuo Fujihara; Jacqueline Palace
Journal:  Pract Neurol       Date:  2018-12-08

2.  Neurofilament light chain serum levels reflect disease severity in MOG-Ab associated disorders.

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Journal:  J Neurol Neurosurg Psychiatry       Date:  2019-04-05       Impact factor: 10.154

3.  Serum GFAP and neurofilament light as biomarkers of disease activity and disability in NMOSD.

Authors:  Mitsuru Watanabe; Yuri Nakamura; Zuzanna Michalak; Noriko Isobe; Christian Barro; David Leppert; Takuya Matsushita; Fumie Hayashi; Ryo Yamasaki; Jens Kuhle; Jun-Ichi Kira
Journal:  Neurology       Date:  2019-08-30       Impact factor: 9.910

4.  Tau protein seems not to be a useful routine clinical marker of axonal damage in multiple sclerosis.

Authors:  I Guimarães; M I Cardoso; M J Sá
Journal:  Mult Scler       Date:  2006-06       Impact factor: 6.312

5.  BDNF and Tau as biomarkers of severity in multiple sclerosis.

Authors:  Azul Islas-Hernandez; Hugo Seacatl Aguilar-Talamantes; Brenda Bertado-Cortes; Georgina de Jesus Mejia-delCastillo; Raul Carrera-Pineda; Carlos Fredy Cuevas-Garcia; Paola Garcia-delaTorre
Journal:  Biomark Med       Date:  2018-06-05       Impact factor: 2.851

Review 6.  Myelin oligodendrocyte glycoprotein antibodies in neurological disease.

Authors:  Markus Reindl; Patrick Waters
Journal:  Nat Rev Neurol       Date:  2019-02       Impact factor: 42.937

Review 7.  Myelin Oligodendrocyte Glycoprotein: Deciphering a Target in Inflammatory Demyelinating Diseases.

Authors:  Patrick Peschl; Monika Bradl; Romana Höftberger; Thomas Berger; Markus Reindl
Journal:  Front Immunol       Date:  2017-05-08       Impact factor: 7.561

Review 8.  MOG-IgG-Associated Optic Neuritis, Encephalitis, and Myelitis: Lessons Learned From Neuromyelitis Optica Spectrum Disorder.

Authors:  Giordani Rodrigues Dos Passos; Luana Michelli Oliveira; Bruna Klein da Costa; Samira Luisa Apostolos-Pereira; Dagoberto Callegaro; Kazuo Fujihara; Douglas Kazutoshi Sato
Journal:  Front Neurol       Date:  2018-04-04       Impact factor: 4.003

Review 9.  Tau in Oligodendrocytes Takes Neurons in Sickness and in Health.

Authors:  Patrizia LoPresti
Journal:  Int J Mol Sci       Date:  2018-08-15       Impact factor: 5.923

10.  Blood neurofilament light chain as a biomarker of MS disease activity and treatment response.

Authors:  Jens Kuhle; Harald Kropshofer; Dieter A Haering; Uma Kundu; Rolf Meinert; Christian Barro; Frank Dahlke; Davorka Tomic; David Leppert; Ludwig Kappos
Journal:  Neurology       Date:  2019-02-08       Impact factor: 9.910

  10 in total
  17 in total

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Authors:  Cristina Valencia-Sanchez; Dean M Wingerchuk
Journal:  BioDrugs       Date:  2020-12-10       Impact factor: 5.807

2.  Contemporary management challenges in seropositive NMOSD.

Authors:  Fiona Costello; Jodie M Burton
Journal:  J Neurol       Date:  2022-07-11       Impact factor: 6.682

Review 3.  Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease (MOGAD): A Review of Clinical and MRI Features, Diagnosis, and Management.

Authors:  Elia Sechi; Laura Cacciaguerra; John J Chen; Sara Mariotto; Giulia Fadda; Alessandro Dinoto; A Sebastian Lopez-Chiriboga; Sean J Pittock; Eoin P Flanagan
Journal:  Front Neurol       Date:  2022-06-17       Impact factor: 4.086

Review 4.  A window into the future? MRI for evaluation of neuromyelitis optica spectrum disorder throughout the disease course.

Authors:  Jacqueline M Solomon; Friedemann Paul; Claudia Chien; Jiwon Oh; Dalia L Rotstein
Journal:  Ther Adv Neurol Disord       Date:  2021-05-09       Impact factor: 6.570

Review 5.  Blood GFAP as an emerging biomarker in brain and spinal cord disorders.

Authors:  Ahmed Abdelhak; Matteo Foschi; Samir Abu-Rumeileh; John K Yue; Lucio D'Anna; Andre Huss; Patrick Oeckl; Albert C Ludolph; Jens Kuhle; Axel Petzold; Geoffrey T Manley; Ari J Green; Markus Otto; Hayrettin Tumani
Journal:  Nat Rev Neurol       Date:  2022-02-03       Impact factor: 44.711

6.  Clinical implication of serum biomarkers and patient age in inflammatory demyelinating diseases.

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Journal:  Ann Clin Transl Neurol       Date:  2020-06-04       Impact factor: 4.511

Review 7.  [Differential diagnostics of autoimmune inflammatory spinal cord diseases].

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Journal:  Nervenarzt       Date:  2021-03-25       Impact factor: 1.214

8.  Serum GFAP and NfL as disease severity and prognostic biomarkers in patients with aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder.

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Journal:  J Neuroinflammation       Date:  2021-05-01       Impact factor: 8.322

9.  Difference in the Source of Anti-AQP4-IgG and Anti-MOG-IgG Antibodies in CSF in Patients With Neuromyelitis Optica Spectrum Disorder.

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10.  Astrocytic outer retinal layer thinning is not a feature in AQP4-IgG seropositive neuromyelitis optica spectrum disorders.

Authors:  Alexander U Brandt; Frederike Cosima Oertel; Angelo Lu; Hanna G Zimmermann; Svenja Specovius; Seyedamirhosein Motamedi; Claudia Chien; Charlotte Bereuter; Marco A Lana-Peixoto; Mariana Andrade Fontenelle; Fereshteh Ashtari; Rahele Kafieh; Alireza Dehghani; Mohsen Pourazizi; Lekha Pandit; Anitha D'Cunha; Ho Jin Kim; Jae-Won Hyun; Su-Kyung Jung; Letizia Leocani; Marco Pisa; Marta Radaelli; Sasitorn Siritho; Eugene F May; Caryl Tongco; Jérôme De Sèze; Thomas Senger; Jacqueline Palace; Adriana Roca-Fernández; Maria Isabel Leite; Srilakshmi M Sharma; Hadas Stiebel-Kalish; Nasrin Asgari; Kerstin Kathrine Soelberg; Elena H Martinez-Lapiscina; Joachim Havla; Yang Mao-Draayer; Zoe Rimler; Allyson Reid; Romain Marignier; Alvaro Cobo-Calvo; Ayse Altintas; Uygur Tanriverdi; Rengin Yildirim; Orhan Aktas; Marius Ringelstein; Philipp Albrecht; Ivan Maynart Tavares; Denis Bernardi Bichuetti; Anu Jacob; Saif Huda; Ibis Soto de Castillo; Axel Petzold; Ari J Green; Michael R Yeaman; Terry J Smith; Lawrence Cook; Friedemann Paul
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