Literature DB >> 27490202

Multiparametric serological testing in autoimmune encephalitis using computer-aided immunofluorescence microscopy (CAIFM).

Johanna Fraune1, Stefan Gerlach1, Kristin Rentzsch1, Bianca Teegen1, Sabine Lederer1, Kai Affeldt1, Kai Fechner1, Maick Danckwardt1, Jörn Voigt1, Christian Probst1, Lars Komorowski1, Winfried Stöcker2.   

Abstract

Autoantibodies against neuronal cell surface antigens are tightly associated with immunotherapy-responsive autoimmune encephalitis, and a considerable number of corresponding autoantigens has been identified in recent years. Most patients initially present with overlapping symptoms, and a broad range of autoantibodies has to be considered to establish the correct diagnosis and initiate treatment as soon as possible to prevent irreversible and sometimes even life-threatening damage to the brain. Recombinant cell-based immunofluorescence allows to authentically present fragile membrane-associated surface antigens and, in combination with multiparametric analysis in the form of biochip mosaics, has turned out to be highly beneficial for parallel and prompt determination of anti-neuronal autoantibodies and comprehensive differential diagnostics. For the evaluation of recombinant cell-based IIFT, a semi-automated novel function was introduced into an established platform for computer-aided immunofluorescence microscopy. The system facilitates the microscopic analysis of the tests and supports the laboratory personnel in the rapid issuance of diagnostic findings, which is of major importance for autoimmune encephalitis patients since timely initiation of treatment may lead to their full recovery.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Anti-neuronal autoantibody; Autoimmune encephalitis; Computer-aided immunofluorescence microscopy (CAIFM); Recombinant cell-based assay

Mesh:

Substances:

Year:  2016        PMID: 27490202     DOI: 10.1016/j.autrev.2016.07.024

Source DB:  PubMed          Journal:  Autoimmun Rev        ISSN: 1568-9972            Impact factor:   9.754


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