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

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.
AuthorsJohanna Fraune, Stefan Gerlach, Kristin Rentzsch, Bianca Teegen, Sabine Lederer, Kai Affeldt, Kai Fechner, Maick Danckwardt, Jörn Voigt, Christian Probst, Lars Komorowski, Winfried Stöcker
JournalAutoimmunity reviews (Autoimmun Rev) Vol. 15 Issue 10 Pg. 937-42 (Oct 2016) ISSN: 1873-0183 [Electronic] Netherlands
PMID27490202 (Publication Type: Journal Article, Review)
CopyrightCopyright © 2016. Published by Elsevier B.V.
Chemical References
  • Autoantibodies
Topics
  • Autoantibodies (blood)
  • Brain (pathology)
  • Encephalitis (blood, diagnosis)
  • Hashimoto Disease (blood, diagnosis)
  • Humans
  • Image Interpretation, Computer-Assisted
  • Microscopy, Fluorescence

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