Proteomics and bioinformatics investigations to improve serological diagnosis of canine brucellosis
Purpose: Brucella canis is pathogenic for dogs and humans. Serological diagnosis is a cost‐effective approach for disease surveillance, but a major drawback of current serological tests is the cross‐reactivity with other bacteria that results in false positive reactions. Development of indirect tests with improved sensitivity and specificity that use selected B. canis proteins instead of the whole antigen remain a priority. Experimental Design: A western blotting assay was developed to define the serum antibody patterns associated to infection using a panel of positive and negative dog sera. B. canis positive sera recognized immunogenic bands ranging from 7 to 30 kDa that were then submitted to ESI–LC‐MS/MS and analyzed by bioinformatics tools. Results: A total of 398 B. canis proteins were identified. Bioinformatics tools identified 16 non cytoplasmic immunogenic proteins predicted as non‐homologous with the most important Brucella cross‐reactive bacteria and nine B. canis proteins non‐homologous to B. ovis; among the latter, one resulted non‐homologous to B. melitensis. Data are available via ProteomeXchange with identifier PXD042682. Conclusions and Clinical Relevance: The western blotting test developed was able to distinguish between infected and non‐infected animals and may serve as a confirmatory test for the serological diagnosis of B. canis. The mass spectrometry and in silico results lead to the identification of specific candidate antigens that pave the way for the development of more accurate indirect diagnostic tests.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Proteomics and bioinformatics investigations to improve serological diagnosis of canine brucellosis ; day:02 ; month:08 ; year:2023 ; extent:10
Proteomics / Clinical applications. Clinical applications ; (02.08.2023) (gesamt 10)
- Creator
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Luciani, Mirella
Krasteva, Ivanka
Di Febo, Tiziana
Perletta, Fabrizia
D'Onofrio, Federica
De Massis, Fabrizio
D'Alterio, Nicola
Sacchini, Flavio
Tittarelli, Manuela
- DOI
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10.1002/prca.202200116
- URN
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urn:nbn:de:101:1-2023080315044546518752
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:02 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Luciani, Mirella
- Krasteva, Ivanka
- Di Febo, Tiziana
- Perletta, Fabrizia
- D'Onofrio, Federica
- De Massis, Fabrizio
- D'Alterio, Nicola
- Sacchini, Flavio
- Tittarelli, Manuela