1. Tuberculosis in the wild boar: Frequentist and Bayesian estimations of diagnostic test parameters when Mycobacterium bovis is present in wild boars but at low prevalence
- Author
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Richomme, Céline, Courcoul, Aurélie, Reveillaud, Édouard, Boschiroli, Maria Laura, Line Richomme, Cé, Moyen, Jean-Louis, Douard Reveillaud, É, Maestrini, Oscar, De Cruz, Krystel, Drapeau, Antoine, Laura, Maria, Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Université Paris-Est (UPE), Unit of Coordination and Support to Surveillance, Laboratoire Départemental d'Analyse et de Recherche de Dordogne, Laboratoire de Recherches sur le Développement de l'Elevage (LRDE), and Institut National de la Recherche Agronomique (INRA)
- Subjects
Bacterial Diseases ,Veterinary medicine ,Microbiological culture ,Swine ,[SDV]Life Sciences [q-bio] ,Sus scrofa ,Artificial Gene Amplification and Extension ,MICROTI ,Pathology and Laboratory Medicine ,Polymerase Chain Reaction ,Mycobacterium Bovis ,Serology ,0403 veterinary science ,Zoonoses ,INFECTION ,Medicine and Health Sciences ,Prevalence ,EPIDEMIOLOGY ,PIGS ,Bovine Tuberculosis ,Swine Diseases ,0303 health sciences ,Mycobacterium bovis ,Multidisciplinary ,biology ,04 agricultural and veterinary sciences ,3. Good health ,Actinobacteria ,Infectious Diseases ,Tuberculosis Diagnosis and Management ,Medicine ,Research Article ,Tuberculosis ,040301 veterinary sciences ,Science ,Animals, Wild ,Enzyme-Linked Immunosorbent Assay ,Research and Analysis Methods ,Microbiology ,Mycobacterium tuberculosis ,03 medical and health sciences ,Tuberculosis diagnosis ,Wild boar ,Diagnostic Medicine ,biology.animal ,SURVEILLANCE ,medicine ,Animals ,SUS-SCROFA ,Molecular Biology Techniques ,Molecular Biology ,COMPLEX ,Bacteria ,030306 microbiology ,Organisms ,Biology and Life Sciences ,Bacteriology ,Bayes Theorem ,Gold standard (test) ,biology.organism_classification ,medicine.disease ,Tropical Diseases ,ANTIBODIES ,PATTERNS ,RESERVOIR ,Mycobacterium Tuberculosis - Abstract
International audience; The Eurasian wild boar (Sus scrofa) is increasingly considered as a relevant actor in the epidemiology of animal tuberculosis (TB). Therefore, monitoring TB in this species is key when establishing comprehensive control schemes for this disease still present in Europe. No data are available on direct and indirect TB diagnostic methods in wild boars in epidemiological contexts where TB is endemic in cattle and detected in wild boars at low prevalence. We aimed to estimate and compare sensitivity and specificity values for bacterial culture, PCR and three commercial ELISAs, i.e. the TB ELISA-VK (using the bPPD antigen), INgezim TB Porcine and IDEXX M. bovis Ab Test (both using the MPB83 and MPB70 antigens), under field conditions in France. We used frequentist methods, with bacteriology as the gold standard, and a Bayesian formulation of the latent class analysis (LCA), without using a gold standard. Submandibular lymph nodes and sera from 495 wild boars hunter-harvested in three endemic areas (Aquitaine region, Côte d’Or region, and Corsica region) were collected between 2014 and 2016. Only eight individuals were positive for M. bovis by bacteriology (1.61%; CI95% 0.70–3.51%). The LCA method provided high specificities (99.2%; CI95% 98.2–99.8% for INgezim TB Porcine and 99.7%; CI95% 98.8–100% for IDEXX M. bovis Ab Test) and sensitivities (78.5%; CI95% 65.1–88.8% for INgezim TB Porcine and 83.9%; CI95% 58.9–97.2% for IDEXX M. bovis Ab Test) for both ELISAs using the MPB83 and MPB70 antigens. Bacterial culture showed limited sensitivity (42.8%; CI95% 19.0–70.6%), estimated as the probability of a positive result in an animal exposed to M. bovis. PCR and ELISA using the bPPD antigens demonstrated high specificities, and sensitivities intermediates between culture and the ELISAs using the MPB83 and MPB70 antigens. These results suggest that ELISA tests using the MPB83 and MPB70 antigens are useful to detect and monitor TB exposure of wild boar populations in field conditions in France.
- Published
- 2019
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