The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
MOG cell-based assay detects non-MS patients with inflammatory neurologic disease
Open accessAbstract
OBJECTIVE: To optimize sensitivity and disease specificity of a myelin oligodendrocyte glycoprotein (MOG) antibody assay. METHODS: Consecutive sera (n = 1,109) sent for aquaporin-4 (AQP4) antibody testing were screened for MOG antibodies (Abs) by cell-based assays using either full-length human MOG (FL-MOG) or the short-length form (SL-MOG). The Abs were initially detected by Alexa Fluor goat anti-human IgG (H + L) and subsequently by Alexa Fluor mouse antibodies to human IgG1. RESULTS: When tested at 1:20 dilution, 40/1,109 sera were positive for AQP4-Abs, 21 for SL-MOG, and 180 for FL-MOG. Only one of the 40 AQP4-Ab-positive sera was positive for SL-MOG-Abs, but 10 (25%) were positive for FL-MOG-Abs (p = 0.0069). Of equal concern, 48% (42/88) of sera from controls (patients with epilepsy) were positive by FL-MOG assay. However, using an IgG1-specific secondary antibody, only 65/1,109 (5.8%) sera were positive on FL-MOG, and AQP4-Ab- positive and control sera were negative. IgM reactivity accounted for the remaining anti-human IgG (H + L) positivity toward FL-MOG. The clinical diagnoses were obtained in 33 FL-MOG-positive patients, blinded to the antibody data. IgG1-Abs to FL-MOG were associated with optic neuritis (n = 11), AQP4-seronegative neuromyelitis optica spectrum disorder (n = 4), and acute disseminated encephalomyelitis (n = 1). All 7 patients with probable multiple sclerosis (MS) were MOG-IgG1 negative. CONCLUSIONS: The limited disease specificity of FL-MOG-Abs identified using Alexa Fluor goat anti-human IgG (H + L) is due in part to detection of IgM-Abs. Use of the FL-MOG and restricting to IgG1-Abs substantially improves specificity for non-MS demyelinating diseases. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that the presence of serum IgG1- MOG-Abs in AQP4-Ab-negative patients distinguishes non-MS CNS demyelinating disorders from MS (sensitivity 24%, 95% confidence interval [CI] 9%-45%; specificity 100%, 95% CI 88%-100%).
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Cites
Distinction between MOG antibody-positive and AQP4 antibody-positive NMO spectrum disorders
Sato, D. K., Callegaro, D., Lana-Peixoto, M. A., Waters, P. J., Jorge, F. M. D. H., Takahashi, T., Nakashima, I., Apostolos-Pereira, S. L., Talim, N., Simm, R. F., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000101 · Cited by 850
Serologic diagnosis of NMO: A multicenter comparison of aquaporin-4-IgG assays
Waters, P. J., McKeon, A., Leite, M. I., Rajasekharan, S., Lennon, V. A., Villalobos, A., Palace, J., Mandrekar, J. N., Vincent, A., Bar-Or, A., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e318248dec1 · Cited by 526
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Cited by
Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria
Thompson, A. J., Banwell, B. L., Barkhof, F., Carroll, W. M., Coetzee, T., Comi, G., Correale, J., Fazekas, F., Filippi, M., Freedman, M. S., et al. (2018) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30470-2 · Cited by 8,167
Self-citationFilippi, M., Bar-Or, A., Piehl, F., Preziosa, P., Solari, A., Vukusic, S., & Rocca, M. A. (2018) · Nature Reviews Disease Primers · doi:10.1038/s41572-018-0041-4 · Cited by 1,562
MOG encephalomyelitis: international recommendations on diagnosis and antibody testing
Jarius, S., Paul, F., Aktas, O., Asgari, N., Dale, R. C., de Seze, J., Franciotta, D., Fujihara, K., Jacob, A., Kim, H. J., et al. (2018) · Journal of Neuroinflammation · doi:10.1186/s12974-018-1144-2 · Cited by 747
Self-citationClinical spectrum and prognostic value of CNS MOG autoimmunity in adults: The MOGADOR study
Cobo-Calvo, A., Ruiz, A., Maillart, E., Audoin, B., Zephir, H., Bourre, B., Ciron, J., Collongues, N., Brassat, D., Cotton, F., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005560 · Cited by 538
in cooperation with the Neuromyelitis Optica Study Group (NEMOS), Jarius, S., Ruprecht, K., Kleiter, I., Borisow, N., Asgari, N., Pitarokoili, K., Pache, F., Stich, O., Beume, L.-A., et al. (2016) · Journal of Neuroinflammation · doi:10.1186/s12974-016-0717-1 · Cited by 429
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Metadata
- Authors
- Waters, P., Woodhall, M., O'Connor, K. C., Reindl, M., Lang, B., Sato, D. K., Juryńczyk, M., Tackley, G., Rocha, J., Takahashi, T., Misu, T., Nakashima, I., Palace, J., Fujihara, K., Leite, M. I., & Vincent, A.
- Venue
- Neurology Neuroimmunology & Neuroinflammation
- Published
- 2015-06
- Volume
- 2
- Issue
- 3
- Pages
- e89-e89
- ISSN
- 2332-7812 (ISSN-L)
- OpenAlex
- W2106131489
- Cited by
- 390
- References
- 2
- FWCI
- 28.68
- Type
- journal article
- Language
- en
- Open access
- gold
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- Waters, P., Woodhall, M., O'Connor, K. C., Reindl, M., Lang, B., Sato, D. K., Juryńczyk, M., Tackley, G., Rocha, J., Takahashi, T., Misu, T., Nakashima, I., Palace, J., Fujihara, K., Leite, M. I., & Vincent, A. (2015). MOG cell-based assay detects non-MS patients with inflammatory neurologic disease. Neurology Neuroimmunology & Neuroinflammation. https://doi.org/10.1212/nxi.0000000000000089
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