Quantification of Salmonella Survival and Infection in an In vitro Model of the Human Intestinal Tract as Proxy for Foodborne Pathogens
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 stati...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-06-01
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| Series: | Frontiers in Microbiology |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fmicb.2017.01139/full |
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| author | Lucas M. Wijnands Peter F. M. Teunis Peter F. M. Teunis Angelina F. A. Kuijpers Ellen H. M. Delfgou-Van Asch Annemarie Pielaat |
| author_facet | Lucas M. Wijnands Peter F. M. Teunis Peter F. M. Teunis Angelina F. A. Kuijpers Ellen H. M. Delfgou-Van Asch Annemarie Pielaat |
| author_sort | Lucas M. Wijnands |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T06:14:47Z |
| format | Article |
| id | doaj.art-4e5570a8af5a4654a0b8887ff493f717 |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-04-14T06:14:47Z |
| publishDate | 2017-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-4e5570a8af5a4654a0b8887ff493f7172022-12-22T02:08:14ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2017-06-01810.3389/fmicb.2017.01139264776Quantification of Salmonella Survival and Infection in an In vitro Model of the Human Intestinal Tract as Proxy for Foodborne PathogensLucas M. Wijnands0Peter F. M. Teunis1Peter F. M. Teunis2Angelina F. A. Kuijpers3Ellen H. M. Delfgou-Van Asch4Annemarie Pielaat5National Institute of Public Health and the EnvironmentBilthoven, NetherlandsNational Institute of Public Health and the EnvironmentBilthoven, NetherlandsRollins School of Public Health, Emory UniversityAtlanta, GA, United StatesNational Institute of Public Health and the EnvironmentBilthoven, NetherlandsNational Institute of Public Health and the EnvironmentBilthoven, NetherlandsNational Institute of Public Health and the EnvironmentBilthoven, NetherlandsDifferent 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.http://journal.frontiersin.org/article/10.3389/fmicb.2017.01139/fullmodel-systemGI-tractinfectionfoodborne pathogensBayesianquantification |
| spellingShingle | Lucas M. Wijnands Peter F. M. Teunis Peter F. M. Teunis Angelina F. A. Kuijpers Ellen H. M. Delfgou-Van Asch Annemarie Pielaat Quantification of Salmonella Survival and Infection in an In vitro Model of the Human Intestinal Tract as Proxy for Foodborne Pathogens Frontiers in Microbiology model-system GI-tract infection foodborne pathogens Bayesian quantification |
| title | Quantification of Salmonella Survival and Infection in an In vitro Model of the Human Intestinal Tract as Proxy for Foodborne Pathogens |
| title_full | Quantification of Salmonella Survival and Infection in an In vitro Model of the Human Intestinal Tract as Proxy for Foodborne Pathogens |
| title_fullStr | Quantification of Salmonella Survival and Infection in an In vitro Model of the Human Intestinal Tract as Proxy for Foodborne Pathogens |
| title_full_unstemmed | Quantification of Salmonella Survival and Infection in an In vitro Model of the Human Intestinal Tract as Proxy for Foodborne Pathogens |
| title_short | Quantification of Salmonella Survival and Infection in an In vitro Model of the Human Intestinal Tract as Proxy for Foodborne Pathogens |
| title_sort | quantification of salmonella survival and infection in an in vitro model of the human intestinal tract as proxy for foodborne pathogens |
| topic | model-system GI-tract infection foodborne pathogens Bayesian quantification |
| url | http://journal.frontiersin.org/article/10.3389/fmicb.2017.01139/full |
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