Title |
Potential for rapid antibody detection to identify tuberculous cattle with non-reactive tuberculin skin test results
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Published in |
BMC Veterinary Research, June 2017
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DOI | 10.1186/s12917-017-1085-5 |
Pubmed ID | |
Authors |
W. Ray Waters, H. Martin Vordermeier, Shelley Rhodes, Bhagwati Khatri, Mitchell V. Palmer, Mayara F. Maggioli, Tyler C. Thacker, Jeffrey T. Nelson, Bruce V. Thomsen, Suelee Robbe-Austerman, Doris M. Bravo Garcia, Mark A. Schoenbaum, Mark S. Camacho, Jean S. Ray, Javan Esfandiari, Paul Lambotte, Rena Greenwald, Adrian Grandison, Alina Sikar-Gang, Konstantin P. Lyashchenko |
Abstract |
Bovine tuberculosis (TB) control programs generally rely on the tuberculin skin test (TST) for ante-mortem detection of Mycobacterium bovis-infected cattle. Present findings demonstrate that a rapid antibody test based on Dual-Path Platform (DPP(®)) technology, when applied 1-3 weeks after TST, detected 9 of 11 and 34 of 52 TST non-reactive yet M. bovis-infected cattle from the US and GB, respectively. The specificity of the assay ranged from 98.9% (n = 92, US) to 96.0% (n = 50, GB) with samples from TB-free herds. Multi-antigen print immunoassay (MAPIA) revealed the presence of antibodies to multiple antigens of M. bovis in sera from TST non-reactors diagnosed with TB. Thus, use of serologic assays in series with TST can identify a significant number of TST non-reactive tuberculous cattle for more efficient removal from TB-affected herds. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 2% |
Unknown | 41 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 7 | 17% |
Student > Master | 6 | 14% |
Student > Doctoral Student | 4 | 10% |
Student > Bachelor | 4 | 10% |
Student > Ph. D. Student | 4 | 10% |
Other | 6 | 14% |
Unknown | 11 | 26% |
Readers by discipline | Count | As % |
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Veterinary Science and Veterinary Medicine | 14 | 33% |
Agricultural and Biological Sciences | 5 | 12% |
Immunology and Microbiology | 4 | 10% |
Social Sciences | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 4 | 10% |
Unknown | 12 | 29% |