MOG encephalomyelitis: international recommendations on diagnosis and antibody testing

Sven Jarius(University Hospital Heidelberg), Friedemann Paul(Charité - Universitätsmedizin Berlin), Orhan Aktaş(Heinrich Heine University Düsseldorf), Nasrin Asgari(University of Southern Denmark), Russell C. Dale(University of Sydney), J. de Sèze(Hôpital d'Hautepierre), Diego Franciotta(Fondazione Istituto Neurologico Nazionale Casimiro Mondino), Kazuo Fujihara(Tohoku University), A. Jacob(University of Liverpool), Ho Jin Kim(National Cancer Center), Ingo Kleiter(Ruhr University Bochum), Tania Kümpfel(Ludwig-Maximilians-Universität München), Michael Levy(Johns Hopkins Hospital), Jacqueline Palace(John Radcliffe Hospital), Klemens Ruprecht(Charité - Universitätsmedizin Berlin), Albert Saiz(Universitat de Barcelona), Corinna Trebst(Medizinische Hochschule Hannover), Brian G. Weinshenker(Mayo Clinic in Arizona), Brigitte Wildemann(Heidelberg University)
Journal of Neuroinflammation
May 3, 2018
Cited by 738Open Access
Full Text

Abstract

Over the past few years, new-generation cell-based assays have demonstrated a robust association of autoantibodies to full-length human myelin oligodendrocyte glycoprotein (MOG-IgG) with (mostly recurrent) optic neuritis, myelitis and brainstem encephalitis, as well as with acute disseminated encephalomyelitis (ADEM)-like presentations. Most experts now consider MOG-IgG-associated encephalomyelitis (MOG-EM) a disease entity in its own right, immunopathogenetically distinct from both classic multiple sclerosis (MS) and aquaporin-4 (AQP4)-IgG-positive neuromyelitis optica spectrum disorders (NMOSD). Owing to a substantial overlap in clinicoradiological presentation, MOG-EM was often unwittingly misdiagnosed as MS in the past. Accordingly, increasing numbers of patients with suspected or established MS are currently being tested for MOG-IgG. However, screening of large unselected cohorts for rare biomarkers can significantly reduce the positive predictive value of a test. To lessen the hazard of overdiagnosing MOG-EM, which may lead to inappropriate treatment, more selective criteria for MOG-IgG testing are urgently needed. In this paper, we propose indications for MOG-IgG testing based on expert consensus. In addition, we give a list of conditions atypical for MOG-EM ("red flags") that should prompt physicians to challenge a positive MOG-IgG test result. Finally, we provide recommendations regarding assay methodology, specimen sampling and data interpretation.


Related Papers

No related papers found

Powered by citation graph analysis