Title |
Use of ethanol extract of Mycobacterium bovis for detection of specific antibodies in sera of farmed red deer (Cervus elaphus) with bovine tuberculosis
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Published in |
BMC Veterinary Research, December 2013
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DOI | 10.1186/1746-6148-9-256 |
Pubmed ID | |
Authors |
Ashutosh Wadhwa, Rachel E Johnson, Colin G Mackintosh, J Frank T Griffin, W Ray Waters, John P Bannantine, Shigetoshi Eda |
Abstract |
Bovine tuberculosis (bTB) in wildlife species poses a threat to domestic livestock in many situations. Control programs for bTB in livestock depend on testing and slaughtering the positive animals; however, the currently available diagnostic tests often have poor specificity. In our previous study, we developed a specific and sensitive enzyme linked immunosorbent assay (ELISA) for another mycobacterial disease - Johne's disease, using surface antigens of Mycobacterium avium ssp. paratuberculosis (MAP) extracted by briefly agitating the bacilli in 80% ethanol solution. The ELISA test was named ethanol vortex ELISA (EVELISA). The objective of this study is to examine whether EVELISA technique could be used to specifically detect anti-Mycobacterium bovis (M. bovis) antibodies in the serum of M. bovis-infected farmed red deer (Cervus elaphus). We tested a total of 45 red deer serum samples, divided in 3 groups - uninfected animals (n = 15), experimentally infected with M. bovis (n = 15) and experimentally infected with MAP (n = 15). |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 3% |
Unknown | 34 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 8 | 23% |
Researcher | 4 | 11% |
Student > Master | 4 | 11% |
Professor > Associate Professor | 3 | 9% |
Student > Bachelor | 2 | 6% |
Other | 6 | 17% |
Unknown | 8 | 23% |
Readers by discipline | Count | As % |
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Veterinary Science and Veterinary Medicine | 9 | 26% |
Agricultural and Biological Sciences | 9 | 26% |
Immunology and Microbiology | 2 | 6% |
Philosophy | 1 | 3% |
Nursing and Health Professions | 1 | 3% |
Other | 3 | 9% |
Unknown | 10 | 29% |