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The identification of autoantibodies in central nervous system (CNS) inflammatory disorders improves diagnostic accuracy and the identification of patients with a relapsing disease. Usual methods to detect autoantibodies are usually divided into 3 categories: tissue-based assays, protein-based assays and cell-based assays (CBA). Tissue-based assays are commonly used for initial identification of autoantibodies based on staining patterns and co-localization. Once the antigen is known, autoantibodies can be detected using other antigen-specific methods based on recombinant proteins and CBA using transfected cells expressing the protein in their cell membranes. Compared to traditional methods using recombinant proteins such as ELISA and western blot, the CBA have advantage of detecting conformational sensitive antibodies using natively folded proteins in the cell membrane. This article reviews the utility of CBA into the clinical practice., Competing Interests: Declaration of Competing Interest The authors declare that this research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. RDM has received a scholarship from CAPES/Brazil. LPC has nothing to disclosure. APBS has received a scholarship from CNPq/Brazil. LDSG has received a scholarship from CAPES/Brazil. BKC has received a scholarship from CNPq/Brazil and speaker honoraria from Libbs. DCM has nothing to disclosure. DKS has received a scholarship from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan; a Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (KAKENHI 15K19472); research support from CNPq/Brazil (425331/2016-4), FAPERGS/MS/CNPq/SESRS (17/2551-0001391-3) PPSUS/Brazil, TEVA (research grant for EMOCEMP Investigator Initiated Study), and Euroimmun AG (Neuroimmunological Complications associated with Arboviruses); and speaker honoraria from Biogen, Novartis, Genzyme, TEVA, Merck-Serono, Roche, and Bayer and has participated in advisory boards for Shire, Roche, TEVA, Merck-Serono and Quest/Athena Diagnostics., (Copyright © 2019 Elsevier B.V. All rights reserved.)