Anti-sulfatide antibodies in neurological disorders: should we test?

Anti-sulfatide antibodies Autoimmune Neurological disorders Sulfatide

Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
03 Sep 2024
Historique:
received: 03 07 2024
accepted: 26 08 2024
revised: 09 08 2024
medline: 3 9 2024
pubmed: 3 9 2024
entrez: 3 9 2024
Statut: aheadofprint

Résumé

Neurological autoimmune peripheral and central nervous system disorders can be associated with anti-sulfatide antibodies. These antibodies are considered potential diagnostic biomarkers, although their additional diagnostic value in neurological fields has been increasingly questioned. Given the little evidence of anti-sulfatide antibodies' frequency and diagnostic value in neurology, we aimed to fill this knowledge gap by investigating 10 years of data. This retrospective study analyzed the results of the anti-ganglioside dot kits (GA Generic Assays GmbH) from 1318 serum samples and 462 cerebrospinal fluid (CSF) samples for the frequency, sensitivity, and specificity of anti-sulfatide antibodies in neurological disorders. Although anti-sulfatide antibodies are rarely present in neurological autoimmune disorders (serum IgM 2.5%, IgG 4.6%), they are also present in non-autoimmune diseases (serum IgM 1.2%, IgG 2.5%) and lack sensitivity and specificity towards being a diagnostic marker. Furthermore, anti-sulfatide antibodies are rarely found in CSF (e.g., no positive results for IgM), and including so-called borderline results ((+)) increases sensitivity and the false-positive rate in serum and CSF. While anti-sulfatide antibodies appear more frequently in neurological autoimmune diseases, they are rare overall and provide very limited diagnostic value in determining specific neurological diseases and-more importantly-if a neurological disease has a potential autoimmune etiology.

Identifiants

pubmed: 39225745
doi: 10.1007/s00415-024-12668-8
pii: 10.1007/s00415-024-12668-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Medizinischen Fakultät, Eberhard Karls Universität Tübingen
ID : 3037-0-0
Organisme : Medizinischen Fakultät, Eberhard Karls Universität Tübingen
ID : 45800

Informations de copyright

© 2024. The Author(s).

Références

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Auteurs

Benedict Kleiser (B)

Department of Epileptology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tubingen, Germany. Benedict.Kleiser@med.uni-tuebingen.de.
Department of Neural Dynamics and Magnetoencephalography, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany. Benedict.Kleiser@med.uni-tuebingen.de.
MEG-Center, University of Tübingen, Tübingen, Germany. Benedict.Kleiser@med.uni-tuebingen.de.

Niklas Giesche (N)

Department of Epileptology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tubingen, Germany.

Markus C Kowarik (MC)

Department of Neurology and Stroke, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.

Evelyn Dubois (E)

Department of Neurology and Stroke, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.

Marcel Armbruster (M)

Department of Neurology and Stroke, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.

Alexander Grimm (A)

Department of Epileptology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tubingen, Germany.

Justus Marquetand (J)

Department of Epileptology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tubingen, Germany.
Department of Neural Dynamics and Magnetoencephalography, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.
MEG-Center, University of Tübingen, Tübingen, Germany.
Institute for Modelling and Simulation of Biomechanical Systems, Pfaffenwaldring 5a, 70569, Stuttgart, Germany.

Classifications MeSH