Evidence map›Paper›PMID 38663995›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2024

Identification of DAGLA as an autoantibody target in cerebellar ataxia.

Ramona Miske, Madeleine Scharf, Kathrin Borowski, Ina Specht, Merle Corty, Monika-Johanna Loritz, Frederik Rombach, Guy Laureys, Nadine Rochow, Christiane Radzimski and 17 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 12 institutions in 4 countries.

Ramona MiskeInstitute for Experimental Immunology, affiliated with EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560 Luebeck, Germany.ORCID 0000-0002-9424-4676
Madeleine ScharfInstitute for Experimental Immunology, affiliated with EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560 Luebeck, Germany.
Kathrin BorowskiClinical Immunological Laboratory Prof. h.c. (RCH) Dr. med. Winfried Stöcker, Lübeck, Germany.
Ina SpechtAgaplesion Diakonieklinikum Rotenburg, Rotenburg, Germany.
Merle CortyClinical Immunological Laboratory Prof. h.c. (RCH) Dr. med. Winfried Stöcker, Lübeck, Germany.
Monika-Johanna LoritzStädtisches Klinikum Karlsruhe, Karlsruhe, Germany.
Frederik RombachStädtisches Klinikum Karlsruhe, Karlsruhe, Germany.
Guy LaureysDepartment of Neurology, Ghent University Hospital, Gent, Belgium.
Nadine RochowInstitute for Experimental Immunology, affiliated with EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560 Luebeck, Germany.
Christiane RadzimskiInstitute for Experimental Immunology, affiliated with EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560 Luebeck, Germany.
Linda SchnitterInstitute for Experimental Immunology, affiliated with EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560 Luebeck, Germany.
Dominica RatusznyDepartment of Neurology, Hannover Medical School, Hannover, Germany.
Thomas SkripuletzDepartment of Neurology, Hannover Medical School, Hannover, Germany.ORCID 0000-0001-8550-335X
Mike P WattjesDepartment of Neuroradiology, Hannover Medical School, Hannover, Germany.ORCID 0000-0001-9298-2897
Stefanie HahnInstitute for Experimental Immunology, affiliated with EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560 Luebeck, Germany.
Yvonne DennoInstitute for Experimental Immunology, affiliated with EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560 Luebeck, Germany.
Khadija GuertiDepartment of Clinical Chemistry, Antwerp University Hospital, Edegem, Belgium.
Matthijs OyaertDepartment of Laboratory Medicine, Ghent University Hospitals, Gent, Belgium.
Farid BenkhadraDepartment of Clinical Biology, Centre Hospitalier de Luxembourg, Luxembourg City, Luxembourg.
Corinna Ines BienLaboratory Krone, Bad Salzuflen, Bad Salzuflen, Germany.
Sophie NitschDivision of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.
Klaus-Peter WandingerInstitute of Clinical Chemistry, University Hospital Schleswig-Holstein, Kiel/Lübeck, Germany.
Vincent van PeschDepartment of Neurology, Cliniques universitaires Saint-Luc, Université catholique de Louvain (UCLouvain), Brussels, Belgium.
Christian ProbstInstitute for Experimental Immunology, affiliated with EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560 Luebeck, Germany.
Bianca TeegenClinical Immunological Laboratory Prof. h.c. (RCH) Dr. med. Winfried Stöcker, Lübeck, Germany.
Lars KomorowskiInstitute for Experimental Immunology, affiliated with EUROIMMUN Medizinische Labordiagnostika AG, Seekamp 31, 23560 Luebeck, Germany.
Kurt-Wolfram SühsDepartment of Neurology, Hannover Medical School, Hannover, Germany Suehs.Kurt-Wolfram@mh-hannover.de.
Euroimmun Medizinische Labordiagnostika (Germany) · DEMedizinische Hochschule Hannover · DEUniversity of Lübeck · DEGhent University Hospital · BEStädtisches Klinikum Karlsruhe · DEAgaplesion Diakonieklinikum Rotenburg · DEAntwerp University Hospital · BECentre Hospitalier de Luxembourg · LUCliniques Universitaires Saint-Luc · BELaboratory Krone · DEMedical University of Vienna · ATUniversity Hospital Schleswig-Holstein · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to investigate the clinical, imaging and fluid biomarker characteristics in patients with antidiacylglycerol lipase alpha (DAGLA)-autoantibody-associated cerebellitis.

methodsSerum and cerebrospinal fliud (CSF) samples from four index patients were subjected to comprehensive autoantibody screening by indirect immunofluorescence assay (IIFA). Immunoprecipitation, mass spectrometry and recombinant protein assays were used to identify the autoantigen. Sera from 101 patients with various neurological symptoms and a similar tissue staining pattern as the index patient samples, and 102 healthy donors were analysed in recombinant cell-based IIFA (RC-IIFA) with the identified protein. Epitope characterisation of all positive samples was performed via ELISA, immunoblot, immunoprecipitation and RC-IIFA using different DAGLA fragments.

resultsAll index patients were relatively young (age: 18-34) and suffered from pronounced gait ataxia, dysarthria and visual impairments. Paraclinical hallmarks in early-stage disease were inflammatory CSF changes and cerebellar cortex hyperintensity in MRI. Severe cerebellar atrophy developed in three of four patients within 6 months. All patient samples showed the same unclassified IgG reactivity with the cerebellar molecular layer. DAGLA was identified as the target antigen and confirmed by competitive inhibition experiments and DAGLA-specific RC-IIFA. In RC-IIFA, serum reactivity against DAGLA was also found in 17/101 disease controls, including patients with different clinical phenotypes than the one of the index patients, and in 1/102 healthy donors. Epitope characterisation revealed that 17/18 anti-DAGLA-positive control sera reacted with a C-terminal intracellular DAGLA 583-1042 fragment, while the CSF samples of the index patients targeted a conformational epitope between amino acid 1 and 157.

conclusionsWe propose that anti-DAGLA autoantibodies detected in CSF, with a characteristic tissue IIFA pattern, represent novel biomarkers for rapidly progressive cerebellitis.

Indexed as

AutoantibodiesCerebellar AtaxiaAdolescentAdultAutoantigensBiomarkersEpitopesFemaleFluorescent Antibody Technique, IndirectHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultAutoantibodiesAutoantigensBiomarkersEpitopescerebellar ataxiaCSFmovement disordersneuroimmunology

Identifiers

PMID38663995
PMCPMC11503208
OpenAlexW4395478776

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.