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    Quantification of Salmonella Survival and Infection in an In vitro Model of the Human Intestinal Tract as Proxy for Foodborne Pathogens.

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    Authors
    Wijnands, Lucas M
    Teunis, Peter F M
    Kuijpers, Angelina F A
    Delfgou-Van Asch, Ellen H M
    Pielaat, Annemarie
    Type
    Article
    Language
    en
    
    Metadata
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    Title
    Quantification of Salmonella Survival and Infection in an In vitro Model of the Human Intestinal Tract as Proxy for Foodborne Pathogens.
    Published in
    Front Microbiol 2017, 8:1139
    Publiekssamenvatting
    Different techniques are available for assessing differences in virulence of bacterial foodborne pathogens. The use of animal models or human volunteers is not expedient for various reasons; the use of epidemiological data is often hampered by lack of crucial data. In this paper, we describe a static, sequential gastrointestinal tract (GIT) model system in which foodborne pathogens are exposed to simulated gastric and intestinal contents of the human digestive tract, including the interaction of pathogens with the intestinal epithelium. The system can be employed with any foodborne bacterial pathogens. Five strains of Salmonella Heidelberg and one strain of Salmonella Typhimurium were used to assess the robustness of the system. Four S. Heidelberg strains originated from an outbreak, the fifth S. Heidelberg strain and the S. Typhimurium strain originated from routine meat inspections. Data from plate counts, collected for determining the numbers of surviving bacteria in each stage, were used to quantify both the experimental uncertainty and biological variability of pathogen survival throughout the system. For this, a hierarchical Bayesian framework using Markov chain Monte Carlo (MCMC) was employed. The model system is able to distinguish serovars/strains for in vitro infectivity when accounting for within strain biological variability and experimental uncertainty.
    DOI
    10.3389/fmicb.2017.01139
    PMID
    28713334
    URI
    http://hdl.handle.net/10029/621019
    ae974a485f413a2113503eed53cd6c53
    10.3389/fmicb.2017.01139
    Scopus Count
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