Literature DB >> 25798445

Myelin oligodendrocyte glycoprotein antibodies are associated with a non-MS course in children.

Yael Hacohen1, Michael Absoud1, Kumaran Deiva1, Cheryl Hemingway1, Petra Nytrova1, Mark Woodhall1, Jacqueline Palace1, Evangeline Wassmer1, Marc Tardieu1, Angela Vincent1, Ming Lim1, Patrick Waters1.   

Abstract

OBJECTIVE: To determine whether myelin oligodendrocyte glycoprotein antibodies (MOG-Abs) were predictive of a demyelination phenotype in children presenting with acquired demyelinating syndrome (ADS).
METHOD: Sixty-five children with a first episode of ADS (12 acute disseminated encephalomyelitis, 24 optic neuritis, 18 transverse myelitis, 11 other clinically isolated syndrome) were identified from 2 national demyelination programs in the United Kingdom and France. Acute serum samples were tested for MOG-Abs by cell-based assay. Antibodies were used to predict diagnosis of multiple sclerosis (MS) at 1 year.
RESULTS: Twenty-three of 65 (35%) children had MOG-Abs. Antibody-positive and antibody-negative patients were not clinically different at presentation, but identification of MOG-Abs predicted a non-MS course at 1-year follow-up: only 2/23 (9%) MOG-Ab-positive patients were diagnosed with MS compared to 16/42 (38%) MOG-Ab-negative patients (p = 0.019, Fisher exact test). Antibody positivity at outset was a useful predictor for a non-MS disease course, with a positive predictive value of 91% (95% confidence interval [CI] 72-99), negative predictive value of 38% (95% CI 24-54), positive likelihood ratio of 4.02 (CI 1.0-15.4), and odds ratio of 6.5 (CI 1.3-31.3).
CONCLUSIONS: MOG-Abs are found at presentation in 35% of patients with childhood ADS, across a range of demyelinating disorders. Antibody positivity can be useful in predicting a non-MS disease course at onset.

Entities:  

Year:  2015        PMID: 25798445      PMCID: PMC4360800          DOI: 10.1212/NXI.0000000000000081

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


Myelin oligodendrocyte glycoprotein (MOG) is exclusively expressed in the CNS. Although only a minor component (0.05%) of myelin, its location on the outermost lamellae of the myelin sheath[1] makes it available for antibody binding and a potential target for autoantibody-mediated disease. MOG antibodies (MOG-Abs) have previously been shown to induce or contribute to demyelination in in vitro cultures and animal models.[2,3] However, earlier ELISA and Western blot studies that identified antibodies to linear epitopes of the denatured MOG protein reported inconsistent results and positivity in healthy controls.[1,4] More recent assays to detect antibodies that bind to conformational epitopes are more informative.[3] MOG-Abs have been found in children with CNS demyelination, such as acute disseminated encephalomyelitis (ADEM), clinically isolated syndrome (CIS), multiple sclerosis (MS),[5] and other recurrent forms of acquired demyelinating syndromes (ADS), more often than in adults.[3,5] Techniques vary among laboratories, and there are conflicting reports of associations between various neurologic diseases and MOG-Abs. A cell-based assay (CBA) using only the extracellular and transmembrane domains of MOG identified binding to conformational MOG epitopes and seemed to be specific for non-MS demyelinating diseases,[6] but when both we and others[3] used the full-length protein, the sensitivity was higher but only specific when the serum was tested at a dilution of 1:160.[3] Here we evaluated a pediatric cohort with a first episode of demyelination for the presence of MOG-Abs using the full-length MOG CBA. We reviewed the clinical and imaging phenotype of the patients and compared the antibody-positive and antibody-negative patients to determine whether MOG-Ab–positive children have a distinguishable phenotype, as has been reported in adults.[6]

METHODS

Patients.

Sixty-five consecutive children younger than 16 years with a first episode of ADS (12 ADEM, 24 optic neuritis [ON], 18 transverse myelitis [TM], 11 CIS) were identified from 2 established national demyelination programs in the UK[7] (n = 49) and France (n = 16).[8] Children presenting between September 2009 and October 2011 in whom a serum sample was available for testing were tested for MOG-Abs. Demographic and clinical data, including sex, age at onset, CSF analysis, and acute-onset first presentation MRI findings, were reviewed for each patient at presentation and at 1-year follow-up. MRI scans were reviewed blinded to clinical features. A standardized form was completed utilizing previously described nomenclature.[8,9] Relapses, both clinical and radiologic, were defined by the reporting clinicians. Demyelinating phenotypes at onset and at 1-year follow-up were classified by a panel of pediatric neurologists within the respective programs based on International Pediatric Multiple Sclerosis Study Group criteria.[10] Two groups were used as controls: adult patients with MS (n = 100) and aquaporin-4 (AQP4) antibody–positive adult patients (n = 100).

MOG-IgG cell-based immunofluorescence assay.

Acute samples taken within 3 months of presentation were tested (Y.H., P.W.) using CBAs in routine clinical use, as previously described (serum dilution 1:160).[11] Here the binding of serum IgG to the surface of human embryonic kidney cells transfected with cDNA encoding the full-length MOG protein (courtesy of M. Reindl, Innsbruck, Austria) was visualized using a fluorescence-labeled secondary antibody. The observers were blinded to the clinical details. Positive serum samples were further diluted to determine their endpoint titers. A proportion of the UK children had been tested for MOG-Abs previously using the truncated MOG construct[12] and were reanalyzed here using the full-length MOG construct alongside the remaining patients.

Statistical analysis.

Statistical analysis was performed using commercially available software (IBM SPSS, release 18.0 [IBM Corporation, Armonk, NY] or GraphPad Prism 6 [GraphPad Software Inc., La Jolla, CA]). Nonparametric statistical tests (Mann-Whitney tests) were used for continuous distributions, and χ2 or Fisher exact tests were used for nominal data. A regression decision tree analysis was used to create a tree-based classification model to aid in predicting risk of MS from first presentation. The classification tree χ2 Automatic Interaction Detector (CHAID) method builds segments and provides a final predictive model based on the best combination of predictor variables. The following predictor variables were used to grow the tree: MOG-Abs (positive/negative), age, intrathecal oligoclonal bands (OCBs) at onset (positive/negative), ADS phenotype at onset (ADEM, ON, TM, other CIS), anatomical distribution of radiologic features (cortical gray, periventricular, juxtacortical, deep white, intracallosal, basal ganglia/thalamus, brainstem, and cerebellar), and lesion characteristics (well-demarcated, diffuse, size, T1 hypointensity, and contrast enhancement).

Standard protocol approvals, registrations, and patient consents.

Ethical approval was obtained from the UK Multicentre Research Ethics Committee (09/H1202/92) and local research ethics committee in Paris (PP 12-024) for the respective national demyelination programs, and ethical approval for further antibody testing on referred samples was obtained from the Oxfordshire Regional Ethical Committee A (07/Q1604/28).

RESULTS

Of the 65 children with ADS tested, 23 were MOG-Ab positive (>1:160; 35%; median age 9.9 years, range 3.0–15.8 years, titers from 1:540 to 1:4,860) and 42 were MOG-Ab negative (65%; median age 13.1 years, range 1.3–15.5 years). None of the control patients were positive for MOG-Abs. All patients with ADS were confirmed to be AQP4-Ab negative. MOG-Abs were identified across all ADS phenotypes (see the table for clinical data). MOG-Abs were detected in pediatric patients with ADEM (4/12; range 1:540–4,860, median 1:1,620), ON (12/24; range 1:540–4,860, median 1:1,620), TM (4/18; range 1:540–1,680, median 1:1,080), and other CIS (3/11; range 1:1,620–4,860. median 1:1,620) but not in AQP4-Ab–positive patients with neuromyelitis optica (NMO) or adults with MS (figure 1A). There was a trend to more MOG-Ab–positive patients with ON and fewer with TM, but the titers did not vary between the phenotypes (figure 1A) and there was no correlation between antibody titer and age at presentation (figure 1B). No significant differences between the antibody-positive and antibody-negative groups were observed in the presence of T2 abnormal brain and spine MRI, lesion characteristics (well-demarcated, diffuse, size, T1 hypointensity, and contrast enhancement), or both McDonald 2010 dissemination in space and dissemination in time criteria at onset for CIS cases. However, stratified to the anatomical involvement, MOG-Ab–positive patients were less likely to have intracallosal (1/23 vs 15/40, p = 0.006, Fisher exact test), deep white (5/23 vs 23/40, p = 0.008, Fisher exact test), periventricular (3/23 vs 17/40, p = 0.02, Fisher exact test), and cerebellar (3/23 vs 16/42, p = 0.05, Fisher exact test) lesions (see the table).
Table

Demographics, clinical and paraclinical features, and outcome of MOG-Ab–positive and MOG-Ab–negative patients

Figure 1

Full-length MOG cell-based assay using a serum dilution of 1:160 as a cutoff for positivity (red line in both plots)

(A) Myelin olidgodendrocyte glycoprotein antibodies (MOG-Abs) were detected in a range of childhood demyelination syndromes but not in aquaporin-4 (AQP4)-Ab–positive neuromyelitis optica patients (0/100) or adults with multiple sclerosis (MS) (0/100). There was no correlation between MOG-Ab titer at onset and acquired demyelinating syndrome phenotype (A) or patient age (B). ADEM = acute disseminated encephalomyelitis; CIS = clinically isolated syndrome; ON = optic neuritis; TM = transverse myelitis.

Demographics, clinical and paraclinical features, and outcome of MOG-Ab–positive and MOG-Ab–negative patients

Full-length MOG cell-based assay using a serum dilution of 1:160 as a cutoff for positivity (red line in both plots)

(A) Myelin olidgodendrocyte glycoprotein antibodies (MOG-Abs) were detected in a range of childhood demyelination syndromes but not in aquaporin-4 (AQP4)-Ab–positive neuromyelitis optica patients (0/100) or adults with multiple sclerosis (MS) (0/100). There was no correlation between MOG-Ab titer at onset and acquired demyelinating syndrome phenotype (A) or patient age (B). ADEM = acute disseminated encephalomyelitis; CIS = clinically isolated syndrome; ON = optic neuritis; TM = transverse myelitis. CSF OCBs at disease onset were very rare in the MOG-Ab–positive group compared to the MOG-Ab–negative group (1/16 vs 14/35, p = 0.019, Fisher exact test). Considering the 51 patients who were tested for both OCBs and MOG-Abs, only 1/16 MOG-Ab–positive patients developed MS, compared with 14/35 MOG-Ab–negative patients. MOG-Ab status was additionally informative to OCB testing. Eleven of 15 OCB+ patients developed MS (73%), whereas 11 of 14 OCB+ and MOG-Ab− patients developed MS (79%; see figure 2).
Figure 2

Summary of the utility of MOG-Abs and OCB testing in predicting pediatric disease course at onset compared to clinical follow-up at 1 year

Following testing with either myelin olidgodendrocyte glycoprotein antibody (MOG-Ab) or oligoclonal blands (OCBs), the additional testing of the respective other is represented by arrows to the respective outcomes. A MOG-Ab–positive test predicted a non–multiple sclerosis (MS) diagnosis, whereas OCB positivity was highly predictive of MS. Eleven of 15 OCB- positive patients developed MS (73%), whereas 11 of 14 OCB-positive and MOG-Abs–negative patients developed MS (79%). The one MOG-Ab–positive and OCB-positive patient did not have MS, and all MOG-Ab–positive and OCB-negative cases had a non-MS course, compared to 91% if only OCB was negative. Of the 14 patients not tested for intrathecal OCBs, 7 patients tested positive for MOG-Ab; 2 patients from the antibody-positive and 2 from the antibody-negative groups had a diagnosis of MS at 1-year follow-up. ADEM = acute disseminated encephalomyelitis; CIS = clinically isolated syndrome; N/D = not done; ON = optic neuritis; TM = transverse myelitis.

Summary of the utility of MOG-Abs and OCB testing in predicting pediatric disease course at onset compared to clinical follow-up at 1 year

Following testing with either myelin olidgodendrocyte glycoprotein antibody (MOG-Ab) or oligoclonal blands (OCBs), the additional testing of the respective other is represented by arrows to the respective outcomes. A MOG-Ab–positive test predicted a non–multiple sclerosis (MS) diagnosis, whereas OCB positivity was highly predictive of MS. Eleven of 15 OCB- positive patients developed MS (73%), whereas 11 of 14 OCB-positive and MOG-Abs–negative patients developed MS (79%). The one MOG-Ab–positive and OCB-positive patient did not have MS, and all MOG-Ab–positive and OCB-negative cases had a non-MS course, compared to 91% if only OCB was negative. Of the 14 patients not tested for intrathecal OCBs, 7 patients tested positive for MOG-Ab; 2 patients from the antibody-positive and 2 from the antibody-negative groups had a diagnosis of MS at 1-year follow-up. ADEM = acute disseminated encephalomyelitis; CIS = clinically isolated syndrome; N/D = not done; ON = optic neuritis; TM = transverse myelitis. At 1-year follow-up, 16/42 MOG-Ab–negative patients were diagnosed with MS (15 clinical, 1 radiologic), compared to only 2/23 MOG-Ab–positive patients (p = 0.019, Fisher exact test; see the table and figure 3). MOG-Abs were found in 2/18 patients with MS compared to 21/47 in the non-MS group (p = 0.02, Fisher exact test).
Figure 3

Two of 23 MOG-Ab–positive patients were diagnosed with MS compared to 16/42 MOG-Ab–negative patients (p = 0.02, Fisher exact test)

As myelin oligodendrocyte glycoprotein antibodies (MOG-Abs) were only tested retrospectively, identification of the antibodies did not influence the final diagnosis. One hundred adult patients with multiple sclerosis (MS) and 100 adults with aquaporin-4 (AQP4)-Ab–positive neuromyelitis optica were all MOG-Ab negative. ADEM = acute disseminated encephalomyelitis; CIS = clinically isolated syndrome; ON = optic neuritis; TM = transverse myelitis.

Two of 23 MOG-Ab–positive patients were diagnosed with MS compared to 16/42 MOG-Ab–negative patients (p = 0.02, Fisher exact test)

As myelin oligodendrocyte glycoprotein antibodies (MOG-Abs) were only tested retrospectively, identification of the antibodies did not influence the final diagnosis. One hundred adult patients with multiple sclerosis (MS) and 100 adults with aquaporin-4 (AQP4)-Ab–positive neuromyelitis optica were all MOG-Ab negative. ADEM = acute disseminated encephalomyelitis; CIS = clinically isolated syndrome; ON = optic neuritis; TM = transverse myelitis. Presence of MOG-Abs at disease outset was a useful predictor for non-MS disease course, with a positive predictive value of 91% (95% confidence interval [CI] 72–99), negative predictive value of 38% (95% CI 24–54), positive likelihood ratio of 4.02 (CI 1.0–15.4), and odds ratio (OR) of 6.5 (CI 1.3–31.3). In MOG-positive patients, 1/6 with asymptomatic brain lesions had MS vs 1/13 without asymptomatic brain lesions (OR 2.4, 95% CI 0.12–46, p = 0.6). In MOG-negative patients, 14/22 with asymptomatic brain lesions had MS vs 2/12 without asymptomatic brain lesions (OR 8.8, 95% CI 1.5–50, p = 0.02). At follow-up, there was no difference in the disabilities of patients between both groups (see table). A regression tree analysis generated with clinical and paraclinical features (including MOG-Ab testing) to predict probability of MS diagnosis at 1 year had an overall 94% accuracy (1 MS and 3 non-MS cases incorrectly predicted; figure e-1 at Neurology.org/nn). Neither MOG-Ab nor OCB had significant added utility over the established clinical (demyelinating phenotype) and imaging predictors of the subsequent demyelination course. In MOG-Ab–positive patients, however, the demyelinating syndrome (ADEM/ON/TM) had additional utility in predicting a non-MS course. In MOG-Ab–negative patients, lesion location (periventricular and deep gray), gadolinium enhancement, and demyelination syndrome contributed to the prediction model (detailed in figure e-1).

DISCUSSION

Defining biomarkers that will help identify children with MS at presentation is an important aim. We tested serum samples taken at presentation from 65 children with ADS for MOG-Ab 1 year after onset when a diagnosis had been made, and MOG-Ab positivity identified acutely at first presentation of ADS was predictive of patients not following an MS course. Furthermore, these children were less likely to have CSF OCB positivity and MRI lesion distributions characteristic of MS, parameters previously reported to be useful in distinguishing MS from other demyelinating syndromes at onset.[9,13] Identification of differences in MRI lesion distributions between MOG-Ab–positive and MOG-Ab–negative patients reflects the higher rate of MS in the MOG-Ab–negative group, particularly in patients with abnormal MRI. Similar findings were recently reported in a large cohort of MOG-Ab patients with ADEM,[14] but as patients with MS only rarely present with ADEM, the negative predictive value of the antibody cannot be determined from this study. Nevertheless, MOG-Ab–positive children were more likely to have radiologic lesion resolution and had a better outcome.[14] The association between intrathecal OCBs and MS is well-established,[15] and children with OCBs identified at presentation of a first demyelinating episode were significantly more likely to be diagnosed with MS,[15] as also found here. On reviewing recent studies of pediatric patients with MOG-Ab, OCBs were found in only 4/17 (23%) children presenting with ON,[11] in none of the 7 children presenting with ADEM followed by recurrent or monophasic ON,[16] and in none of the 3 children with NMO spectrum disorders (NMOSD).[17] Surprisingly, there were no differences in the age at onset or patient demographics between the antibody-positive and antibody-negative groups, and antibody titers did not correlate with age, as previously reported.[18] Although the age at onset is a known predictor of disease course in children with an initial demyelinating event, it was not a useful marker in our predictive model either in isolation or in combination with other prognostic factors such as abnormal MRI. MOG-Abs have been identified in 4/27 (15%) adults[6] and in 3/6 (50%)[17] children with AQP4-Ab–negative NMOSD, but none of the children, nor any in this cohort, currently fulfill the diagnostic criteria for NMO.[19] None of our MOG-Ab–positive patients had received long-term immunosuppression, and only 3 had a clinical relapse (of which 2 have MS and are currently being evaluated for treatment). It remains unclear whether these patients should be treated similarly to patients with AQP4-positive NMO[20] or whether MOG-positive patients with a restricted form of demyelination (recurrent ON and TM) should be considered as having NMOSD, a diagnosis currently unified by the detection of AQP4-Ab.[20] This is important, as several conventional MS drugs such as interferon[21] and natalizumab[22] have been associated with disease worsening in patients with NMO (both AQP4-Ab positive and AQP4-Ab negative), so their use in other antibody-mediated demyelinating diseases needs to be cautiously evaluated. A limitation of our study is the short follow-up period. A longer follow-up would allow for more certainty of the course of the demyelination syndrome[23]; however, in a large Canadian cohort, the median time to a second clinical event or change on brain MRI for children with MS was 127 days (interquartile range 91–222).[13] As all our patients were treated empirically with corticosteroids and/or IV immunoglobulin (IVIg) (none received plasma exchange), some may have had MOG-Ab testing following treatment, potentially confounding the results. Reports of low antibody positivity (typically for multiple antigens) following treatment with IVIg are unlikely to be the cause of the very high titers seen in our antibody-positive patients. Another limitation of the study is that MOG-Ab–positive patients, including the 3 relapsing ones, did not have a repeat sample taken (neither interval nor at the time of relapse), so we cannot say whether the persistence of MOG-Abs predicted a relapsing course, as has been previously reported.[17,18,24] Recently, in a study of adult patients with NMO and suspected limited forms of the disease, MOG-Ab titers could not aid in differentiating between the different clinical phenotypes, including monophasic and relapsing diseases. Moreover, decrease of MOG-Ab titers was not associated with a monophasic course or better outcome, and persistence of antibodies for several years was reported in patients with clinical symptom resurgence.[25] The phenotypic similarities between the different demyelinating syndromes at onset remain a significant clinical challenge when trying to identify children with MS. Here we identified MOG-Ab as an early predictor of the subsequent course of demyelination, a finding that requires replication in other and preferably larger cohorts. Detecting MOG-Abs and determining their significance in various demyelinating syndromes remains an evolving field of investigation. The absence of MRI and CSF features typically seen in both adults and children with MS further supports the idea that MOG-Ab positivity indicates a different disease phenotype from MS. Ultimately, the presence of MOG-Abs cannot replace the other previously validated factors (clinical, OCB, and MRI) that predict MS risk but may prove useful either as an adjunct when the previously validated factors are already strongly predictive of MS (CIS, OCB-positive, and MRI changes) or as a conjunct when some of these factors are less striking or have not been performed.
  26 in total

1.  Anti-myelin oligodendrocyte glycoprotein antibodies in pediatric patients with optic neuritis.

Authors:  Kevin Rostasy; Simone Mader; Kathrin Schanda; Peter Huppke; Jutta Gärtner; Verena Kraus; Michael Karenfort; Daniel Tibussek; Astrid Blaschek; Barbara Bajer-Kornek; Steffen Leitz; Mareike Schimmel; Franziska Di Pauli; Thomas Berger; Markus Reindl
Journal:  Arch Neurol       Date:  2012-06

2.  Revised diagnostic criteria for neuromyelitis optica.

Authors:  D M Wingerchuk; V A Lennon; S J Pittock; C F Lucchinetti; B G Weinshenker
Journal:  Neurology       Date:  2006-05-23       Impact factor: 9.910

3.  Self-antigen tetramers discriminate between myelin autoantibodies to native or denatured protein.

Authors:  Kevin C O'Connor; Katherine A McLaughlin; Philip L De Jager; Tanuja Chitnis; Estelle Bettelli; Chenqi Xu; William H Robinson; Sunil V Cherry; Amit Bar-Or; Brenda Banwell; Hikoaki Fukaura; Toshiyuki Fukazawa; Silvia Tenembaum; Susan J Wong; Norma P Tavakoli; Zhannat Idrissova; Vissia Viglietta; Kevin Rostasy; Daniela Pohl; Russell C Dale; Mark Freedman; Lawrence Steinman; Guy J Buckle; Vijay K Kuchroo; David A Hafler; Kai W Wucherpfennig
Journal:  Nat Med       Date:  2007-01-12       Impact factor: 53.440

4.  Persisting myelin oligodendrocyte glycoprotein antibodies in aquaporin-4 antibody negative pediatric neuromyelitis optica.

Authors:  K Rostásy; S Mader; E M Hennes; K Schanda; V Gredler; A Guenther; A Blaschek; C Korenke; M Pritsch; D Pohl; O Maier; G Kuchukhidze; M Brunner-Krainz; T Berger; M Reindl
Journal:  Mult Scler       Date:  2012-12-20       Impact factor: 6.312

5.  Catastrophic brain relapse in seronegative NMO after a single dose of natalizumab.

Authors:  Joanna Kitley; Nikos Evangelou; Wilhelm Küker; Anu Jacob; M Isabel Leite; Jackie Palace
Journal:  J Neurol Sci       Date:  2014-02-04       Impact factor: 3.181

6.  Neuromyelitis optica-IgG in childhood inflammatory demyelinating CNS disorders.

Authors:  B Banwell; S Tenembaum; V A Lennon; E Ursell; J Kennedy; A Bar-Or; B G Weinshenker; C F Lucchinetti; S J Pittock
Journal:  Neurology       Date:  2007-12-19       Impact factor: 9.910

Review 7.  Role of autoantibodies in acquired inflammatory demyelinating diseases of the central nervous system in children.

Authors:  Kevin Rostasy; Markus Reindl
Journal:  Neuropediatrics       Date:  2013-10-28       Impact factor: 1.947

8.  Antibodies to MOG and AQP4 in adults with neuromyelitis optica and suspected limited forms of the disease.

Authors:  Romana Höftberger; María Sepulveda; Thaís Armangue; Yolanda Blanco; Kevin Rostásy; Alvaro Cobo Calvo; Javier Olascoaga; Lluís Ramió-Torrentà; Markus Reindl; Julián Benito-León; Bonaventura Casanova; Georgina Arrambide; Lidia Sabater; Francesc Graus; Josep Dalmau; Albert Saiz
Journal:  Mult Scler       Date:  2014-10-24       Impact factor: 6.312

9.  Paediatric acquired demyelinating syndromes: incidence, clinical and magnetic resonance imaging features.

Authors:  Michael Absoud; Ming J Lim; Wui K Chong; Christian G De Goede; Katharine Foster; Roxana Gunny; Cheryl Hemingway; Philip E Jardine; Rachel Kneen; Marcus Likeman; Ken K Nischal; Michael G Pike; Naomi A Sibtain; William P Whitehouse; Carole Cummins; Evangeline Wassmer
Journal:  Mult Scler       Date:  2012-04-19       Impact factor: 6.312

10.  Functional identification of pathogenic autoantibody responses in patients with multiple sclerosis.

Authors:  Christina Elliott; Maren Lindner; Ariel Arthur; Kathryn Brennan; Sven Jarius; John Hussey; Andrew Chan; Anke Stroet; Tomas Olsson; Hugh Willison; Susan C Barnett; Edgar Meinl; Christopher Linington
Journal:  Brain       Date:  2012-05-04       Impact factor: 13.501

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  43 in total

1.  Disease Course and Treatment Responses in Children With Relapsing Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease.

Authors:  Yael Hacohen; Yu Yi Wong; Christian Lechner; Maciej Jurynczyk; Sukhvir Wright; Bahadir Konuskan; Judith Kalser; Anne Lise Poulat; Helene Maurey; Esther Ganelin-Cohen; Evangeline Wassmer; Chery Hemingway; Rob Forsyth; Eva Maria Hennes; M Isabel Leite; Olga Ciccarelli; Banu Anlar; Rogier Hintzen; Romain Marignier; Jacqueline Palace; Matthias Baumann; Kevin Rostásy; Rinze Neuteboom; Kumaran Deiva; Ming Lim
Journal:  JAMA Neurol       Date:  2018-04-01       Impact factor: 18.302

2.  Seizures and Encephalitis in Myelin Oligodendrocyte Glycoprotein IgG Disease vs Aquaporin 4 IgG Disease.

Authors:  Shahd H M Hamid; Dan Whittam; Mariyam Saviour; Amal Alorainy; Kerry Mutch; Samantha Linaker; Tom Solomon; Maneesh Bhojak; Mark Woodhall; Patrick Waters; Richard Appleton; Martin Duddy; Anu Jacob
Journal:  JAMA Neurol       Date:  2018-01-01       Impact factor: 18.302

Review 3.  Pediatric Optic Neuritis: What Is New.

Authors:  Mark Borchert; Grant T Liu; Stacy Pineles; Amy T Waldman
Journal:  J Neuroophthalmol       Date:  2017-09       Impact factor: 3.042

4.  MRI of the first event in pediatric acquired demyelinating syndromes with antibodies to myelin oligodendrocyte glycoprotein.

Authors:  Matthias Baumann; Astrid Grams; Tanja Djurdjevic; Eva-Maria Wendel; Christian Lechner; Bettina Behring; Astrid Blaschek; Katharina Diepold; Astrid Eisenkölbl; Joel Fluss; Michael Karenfort; Johannes Koch; Bahadir Konuşkan; Steffen Leiz; Andreas Merkenschlager; Daniela Pohl; Mareike Schimmel; Charlotte Thiels; Barbara Kornek; Kathrin Schanda; Markus Reindl; Kevin Rostásy
Journal:  J Neurol       Date:  2018-02-08       Impact factor: 4.849

Review 5.  The current role of MRI in differentiating multiple sclerosis from its imaging mimics.

Authors:  Ruth Geraldes; Olga Ciccarelli; Frederik Barkhof; Nicola De Stefano; Christian Enzinger; Massimo Filippi; Monika Hofer; Friedemann Paul; Paolo Preziosa; Alex Rovira; Gabriele C DeLuca; Ludwig Kappos; Tarek Yousry; Franz Fazekas; Jette Frederiksen; Claudio Gasperini; Jaume Sastre-Garriga; Nikos Evangelou; Jacqueline Palace
Journal:  Nat Rev Neurol       Date:  2018-03-09       Impact factor: 42.937

Review 6.  Acute onset blindness: a case of optic neuritis and review of childhood optic neuritis.

Authors:  Sithara Ramdas; Danny Morrison; Michael Absoud; Ming Lim
Journal:  BMJ Case Rep       Date:  2016-10-04

Review 7.  [Diagnosis of multiple sclerosis: revision of the McDonald criteria 2017].

Authors:  O Aktas; M P Wattjes; M Stangel; H-P Hartung
Journal:  Nervenarzt       Date:  2018-12       Impact factor: 1.214

Review 8.  Seizures and risk of epilepsy in autoimmune and other inflammatory encephalitis.

Authors:  Marianna Spatola; Josep Dalmau
Journal:  Curr Opin Neurol       Date:  2017-06       Impact factor: 5.710

Review 9.  Update on pediatric optic neuritis.

Authors:  Jane H Lock; Nancy J Newman; Valérie Biousse; Jason H Peragallo
Journal:  Curr Opin Ophthalmol       Date:  2019-11       Impact factor: 3.761

Review 10.  B cells in autoimmune and neurodegenerative central nervous system diseases.

Authors:  Joseph J Sabatino; Anne-Katrin Pröbstel; Scott S Zamvil
Journal:  Nat Rev Neurosci       Date:  2019-11-11       Impact factor: 34.870

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