| Literature DB >> 24341485 |
Ashutosh Wadhwa, Rachel E Johnson, Colin G Mackintosh, J Frank T Griffin, W Ray Waters, John P Bannantine, Shigetoshi Eda1.
Abstract
BACKGROUND: 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).Entities:
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Year: 2013 PMID: 24341485 PMCID: PMC3878491 DOI: 10.1186/1746-6148-9-256
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Figure 1Diagnostic performance of EVELISA. Antibody binding was tested using 45 red deer serum samples, without (A) and with (B) absorption of cross reactive antibodies against MAP. The samples were divided in 3 groups (Uninfected (n = 15); Infected with M. bovis (n = 15); Infected with MAP (n = 15)). Each marker represents an average of duplicate measurements. To estimate tentative diagnostic sensitivity and specificity of the EVELISA test, cut-off value of 0.065 (horizontal line) was used (B).
Figure 2Two-graph receiver operating characteristic analysis of the EVELISA data for determination of a cut-off value. The data shown in Figure 2 were plotted on a graph having cut-off values on the X-axis and sensitivity (triangle)/specificity (circle) on the Y-axis. The dotted line indicates the selected cut-off value (0.065).