Literature DB >> 32473415

Evaluation of the Dual Path Platform (DPP) VetTB assay for the detection of Mycobacterium bovis infection in badgers.

Roland T Ashford1, Paul Anderson2, Laura Waring3, Dipesh Davé2, Freya Smith3, Richard J Delahay3, Eamonn Gormley4, Mark A Chambers5, Jason Sawyer2, Sandrine Lesellier6.   

Abstract

Bovine tuberculosis (bTB), caused by Mycobacterium bovis, represents a major animal health issue. In the United Kingdom and the Republic of Ireland, European badgers (Meles meles) have been shown to act as a reservoir of M. bovis infection, hindering the eradication of bTB in livestock. The availability of suitable diagnostic assays, particularly those that may be applied in a "trap-side" setting, would facilitate the implementation of a wider range of disease control strategies. Here we evaluate the Dual Path Platform (DPP) VetTB assay, a lateral-flow type test for detecting antibodies to M. bovis antigens (MPB83 and ESAT-6/CFP-10). Both serum and whole blood were evaluated as diagnostic samples. Additionally, two methods were evaluated for interpretation of test results (qualitative interpretation by eye and quantitative measurement using an optical reader). The antibody response to MPB83 detected by the DPP VetTB assay increased significantly following experimental M. bovis infection of badgers, whilst the response to ESAT-6/CFP-10 showed no significant change. In sera from TB-free captive and naturally M. bovis infected wild badgers the MPB83 response exhibited a sensitivity of 55 % by eye and quantitative reader (95 % CI: 40-71 and 38-71, respectively), with slightly lower specificity when read by eye (93 % compared to 98 %; 95 % CI: 85-100 and 90-100, respectively). In whole blood, the DPP VetTB assay MPB83 response exhibited a sensitivity of 65 % (95 % CI: 50-80) when interpreted by eye and 53 % (95 % CI: 36-69) using quantitative values, whilst the specificity was 94 % and 98 % respectively (95 % CI: 88-100 and 90-100). Comparison with contemporaneous diagnostic test results from putatively naturally infected and TB-free badgers demonstrated varying levels of agreement. Using sera from naturally M. bovis infected and TB-free badgers, with post mortem confirmation of disease status, the DPP VetTB assay exhibited a sensitivity of 60 % (95 % CI: 41-77) when interpreted using quantitative values (specificity 95 %; 95 % CI: 76-100), and 67 % (95 % CI: 50-84) when read by eye (specificity 95 %; 95 % CI: 86-100). Further work is required to robustly characterize the DPP VetTB assay's performance in a wider selection of samples, and in the practical and epidemiological contexts in which it may be applied. Crown
Copyright © 2020. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Badgers; Bovine tuberculosis; Diagnosis; Mycobacterium bovis; Sensitivity; Specificity

Mesh:

Substances:

Year:  2020        PMID: 32473415     DOI: 10.1016/j.prevetmed.2020.105005

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  3 in total

1.  A Bayesian analysis of a Test and Vaccinate or Remove study to control bovine tuberculosis in badgers (Meles meles).

Authors:  Mark E Arnold; Emily A Courcier; Lesley A Stringer; Carl M McCormick; Ana V Pascual-Linaza; Shane F Collins; Nigel A Trimble; Tom Ford; Suzan Thompson; David Corbett; Fraser D Menzies
Journal:  PLoS One       Date:  2021-01-28       Impact factor: 3.240

2.  Experimental Infection of Captive Red Foxes (Vulpes vulpes) with Mycobacterium bovis.

Authors:  Céline Richomme; Sandrine Lesellier; Francisco Javier Salguero; Jacques Laurent Barrat; Jean-Marc Boucher; Jennifer Danaidae Reyes-Reyes; Sylvie Hénault; Krystel De Cruz; Jennifer Tambosco; Lorraine Michelet; Justine Boutet; Rubyat Elahi; Konstantin P Lyashchenko; Conor O'Halloran; Ana Balseiro; Maria Laura Boschiroli
Journal:  Microorganisms       Date:  2022-02-06

Review 3.  Review of Methods Used for Diagnosing Tuberculosis in Captive and Free-Ranging Non-Bovid Species (2012-2020).

Authors:  Rebecca Thomas; Mark Chambers
Journal:  Pathogens       Date:  2021-05-11
  3 in total

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