| Literature DB >> 26121261 |
Anita L Michel1, Claire Geoghegan2, Tiny Hlokwe3, Keneilwe Raseleka3, Wayne M Getz4, Tanguy Marcotty5.
Abstract
BACKGROUND: Unpasteurised fresh and souring dairy products form an essential component of household diets throughout many rural communities in southern Africa. The presence of milk-borne zoonotic pathogens such as Mycobacterium bovis (M. bovis), the causative agent of bovine tuberculosis and zoonotic tuberculosis in humans, constitute a public health threat, especially in remote areas with poor disease surveillance in livestock and highly compromised human health due to HIV/AIDS.Entities:
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Year: 2015 PMID: 26121261 PMCID: PMC4488074 DOI: 10.1371/journal.pone.0129926
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Survival of M. bovis over time with regard to spiking dose and storage temperature.
| Storage temperature | 20°C | 33°C | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| 102 CFU/ML | 102 CFU/ML | ||||||||||||||||||
|
| 0 | 1 | 3 | 5 | 8 | 15 | 22 | 29 | 36 | 43 | 0 | 1 | 3 | 5 | 8 | 15 | 22 | 29 | 36 | 43 |
|
| 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | NA | 6 | 5 | 6 | 0 | 0 | 1 | 6 | 6 | 6 |
|
| 3 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | NA | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 3 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | NA | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | NA | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 104 CFU/ML | 104 CFU/ML | ||||||||||||||||||
|
| 0 | 1 | 3 | 5 | 8 | 15 | 22 | 29 | 36 | 43 | 0 | 1 | 3 | 5 | 8 | 15 | 22 | 29 | 36 | 43 |
|
| 5 | 6 | 6 | 6 | 5 | 5 | 6 | 6 | 6 | 6 | NA | 6 | 6 | 6 | 2 | 0 | 6 | 6 | 6 | 6 |
|
| 4 | 6 | 6 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | NA | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 3 | 3 | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | NA | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 3 | 2 | 2 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | NA | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 107 CFU/ML | 107 CFU/ML | ||||||||||||||||||
|
| 0 | 1 | 3 | 5 | 8 | 15 | 22 | 29 | 36 | 43 | 0 | 1 | 3 | 5 | 8 | 15 | 22 | 29 | 36 | 43 |
|
| 6 | 6 | 6 | 6 | 5 | 6 | 6 | 6 | 6 | 6 | NA | 6 | 3 | 3 | 0 | 0 | 6 | 6 | 6 | 6 |
|
| 6 | 6 | 5 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | NA | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 3 | 4 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | NA | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 3 | 3 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | NA | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 0 CFU/ML | 0 CFU/ML | ||||||||||||||||||
|
| 0 | 1 | 3 | 5 | 8 | 15 | 22 | 29 | 36 | 43 | 0 | 1 | 3 | 5 | 8 | 15 | 22 | 29 | 36 | 43 |
|
| 6 | 6 | 6 | 6 | 0 | 6 | 6 | 6 | 6 | 6 | NA | 6 | 6 | 6 | 0 | 0 | 6 | 6 | 6 | 6 |
|
| 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Survival of M. bovis was measured as the number of medium slopes yielding at least one colony of M. bovis and tested by ZN staining and PCR.
TSI: time since M. bovis inoculation
*M. fortuitum was isolated
(S) Spoiled culture result
Fig 1Results of Ziehl-Neelsen staining and PCR amplification of M. bovis isolated from milk spiked with different doses and stored at 20°C.
The left column presents the results using outcome of ZN staining as response variable, whereas a serial combination of microscopy and PCR was used in the right column. Graphs include raw data (◊), estimated means (▬) and the 95% confidence intervals (─). Graphs were truncated on the right because no AFB positive cultures were observed after day 30.
Calculation of M. bovis survival and half-life time (and 95% confidence intervals) using the estimators of two separate logistic regressions applied on ZN and PCR data.
|
|
| |
|---|---|---|
|
| -0.37 (-0.51, -0.23) | -0.31 (-0.43, -0.18) |
|
| -0.62 (-0.94, -0.3) | -0.47 (-0.76, -0.18) |
|
| 0.59 (0.32, 0.86) | 0.65 (0.27, 1.03) |
|
| 3.93 (2.1, 7.34) | 4.46 (1.86, 10.71) |
|
| 25 (13, 47) | 22 (9, 53) |
|
| 75 (87, 53) | 78 (91, 47) |
|
| 12.14 (8.34, 22.29) | 11.11 (7.01, 26.75) |
* Confidence intervals calculated using a non-linear combination of estimators