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Development of an Interspecies Nested Dose-Response Model for Mycobacterium avium subspecies paratuberculosis
Kirk J Breuninger1, Mark H Weir1
1Department of Public Health, Temple University, Philadelphia, PA, USA.
Abstract:
Mycobacterium avium subspecies paratuberculosis (MAP) causes chronic inflammation of the intestines in humans, ruminants, and other species. It is the causative agent of Johne's disease in cattle, and has been implicated as the causative agent of Crohn's disease in humans. To date, no quantitative microbial risk assessment (QMRA) for MAP utilizing a dose-response function exists. The objective of this study is to develop a nested dose-response model for infection from oral exposure to MAP utilizing data from the peer-reviewed literature. Four studies amenable to dose-response modeling were identified in the literature search and optimized to the one-parameter exponential or two-parameter beta-Poisson dose-response models. A nesting analysis was performed on all permutations of the candidate data sets to determine the acceptability of pooling data sets across host species. Three of four data sets exhibited goodness of fit to at least one model. All three data sets exhibited good fit to the beta-Poisson model, and one data set exhibited goodness of fit, and best fit, to the exponential model. Two data sets were successfully nested using the beta-Poisson model with parameters α = 0.0978 and N50 = 2.70 × 10(2) CFU. These data sets were derived from sheep and red deer host species, indicating successful interspecies nesting, and demonstrate the highly infective nature of MAP. The nested dose-response model described should be used for future QMRA research regarding oral exposure to MAP.
Insights
Mycobacterium avium subspecies paratuberculosis (MAP) infection risk can now be quantified. A new nested dose-response model, developed from existing studies, accurately predicts MAP infection probability following oral exposure.
Area of Science:
- Microbiology
- Veterinary Medicine
- Epidemiology
Background:
- Mycobacterium avium subspecies paratuberculosis (MAP) causes Johne's disease in cattle and is linked to Crohn's disease in humans.
- Quantitative microbial risk assessments (QMRA) for MAP have been limited by the absence of dose-response functions.
- Understanding MAP's infectivity is crucial for public health and animal health risk management.
Purpose of the Study:
- To develop a nested dose-response model for MAP infection following oral exposure.
- To establish a quantitative framework for assessing the risk of MAP infection.
- To enable more accurate QMRA for MAP.
Main Methods:
- Literature search to identify studies suitable for dose-response modeling.
- Optimization of data to one-parameter exponential or two-parameter beta-Poisson models.
- Nesting analysis to assess the pooling of data across different host species.
Main Results:
- Three of four datasets showed good fit to at least one dose-response model.
- The beta-Poisson model provided a good fit for three datasets.
- Two datasets from sheep and red deer were successfully nested using the beta-Poisson model (α = 0.0978, N50 = 2.70 × 10^2 CFU), demonstrating interspecies applicability and MAP's high infectivity.
Conclusions:
- A robust nested dose-response model for MAP oral exposure has been developed.
- The model demonstrates successful interspecies data nesting, highlighting MAP's infectivity.
- This model is recommended for future QMRA research on MAP infection risk.
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