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1000 Titel
  • Detection of virus-specific T cells via ELISpot corroborates early diagnosis in human Borna disease virus 1 (BoDV-1) encephalitis
1000 Autor/in
  1. Bauswein, Markus |
  2. Eid, Ehab |
  3. Eidenschink, Lisa |
  4. Schmidt, Barbara |
  5. Gessner, André |
  6. Tappe, Dennis |
  7. Cadar, Dániel |
  8. Böhmer, Merle M. |
  9. Jockel, Laura |
  10. van Wickeren, Nora |
  11. Garibashvili, Tamara |
  12. Wiesinger, Isabel |
  13. Wendl, Christina |
  14. Heckmann, Josef G. |
  15. Angstwurm, Klemens |
  16. Freyer, Martin |
1000 Verlag Springer Berlin Heidelberg
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-04-12
1000 Erschienen in
1000 Quellenangabe
  • 52(5):1663-1670
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s15010-024-02246-5 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11499394/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Within endemic regions in southern and eastern Germany, Borna disease virus 1 (BoDV-1) causes rare zoonotic spill-over infections in humans, leading to encephalitis with a high case-fatality risk. So far, <jats:italic>intra-vitam</jats:italic> diagnosis has mainly been based on RT-qPCR from cerebrospinal fluid (CSF) and serology, both being associated with diagnostic challenges. Whilst low RNA copy numbers in CSF limit the sensitivity of RT-qPCR from this material, seroconversion often occurs late during the course of the disease.</jats:p> </jats:sec><jats:sec> <jats:title>Case presentation</jats:title> <jats:p>Here, we report the new case of a 40 − 50 year-old patient in whom the detection of virus-specific T cells via ELISpot corroborated the diagnosis of BoDV-1 infection. The patient showed a typical course of the disease with prodromal symptoms like fever and headaches 2.5 weeks prior to hospital admission, required mechanical ventilation from day three after hospitalisation and remained in deep coma until death ten days after admission.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Infection was first detected by positive RT-qPCR from a CSF sample drawn four days after admission (viral load 890 copies/mL). A positive ELISpot result was obtained from peripheral blood collected on day seven, when virus-specific IgG antibodies were not detectable in serum, possibly due to previous immune adsorption for suspected autoimmune-mediated encephalitis.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>This case demonstrates that BoDV-1 ELISpot serves as additional diagnostic tool even in the first week after hospitalisation of patients with BoDV-1 encephalitis.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Borna disease virus/immunology [MeSH]
lokal Zoonosis
lokal T-Lymphocytes/immunology [MeSH]
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal ELISpot
lokal Encephalitis, Viral/immunology [MeSH]
lokal Borna Disease/diagnosis [MeSH]
lokal Borna disease virus 1 (BoDV-1)
lokal Enzyme-Linked Immunospot Assay/methods [MeSH]
lokal Encephalitis, Viral/diagnosis [MeSH]
lokal Middle Aged [MeSH]
lokal Encephalitis, Viral/virology [MeSH]
lokal Indirect immune fluorescence assay (iIFA)
lokal Male [MeSH]
lokal Fatal Outcome [MeSH]
lokal Germany [MeSH]
lokal Encephalitis
lokal Borna Disease/immunology [MeSH]
lokal Early Diagnosis [MeSH]
lokal Case Report
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Label
1000 Förderer
  1. University Hospital Regensburg, Germany |
  2. German Federal Ministry of Education and Research |
  3. Bavarian State Ministry of Health and Care |
  4. German Ministry of Education and Research |
  5. Universitätsklinikum Regensburg |
1000 Fördernummer
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1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer University Hospital Regensburg, Germany |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer German Federal Ministry of Education and Research |
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  3. 1000 joinedFunding-child
    1000 Förderer Bavarian State Ministry of Health and Care |
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  4. 1000 joinedFunding-child
    1000 Förderer German Ministry of Education and Research |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer Universitätsklinikum Regensburg |
    1000 Förderprogramm -
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1000 Erstellt am 2025-07-05T17:27:59.810+0200
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