Modelling the invasion of human small intestinal epithelial‐like cells by Salmonella enterica Typhimurium and Listeria monocytogenes using Bayesian inference. (1st August 2022)
- Record Type:
- Journal Article
- Title:
- Modelling the invasion of human small intestinal epithelial‐like cells by Salmonella enterica Typhimurium and Listeria monocytogenes using Bayesian inference. (1st August 2022)
- Main Title:
- Modelling the invasion of human small intestinal epithelial‐like cells by Salmonella enterica Typhimurium and Listeria monocytogenes using Bayesian inference
- Authors:
- Takahashi, Y.
Abe, H.
Koyama, K.
Koseki, S. - Abstract:
- Abstract: To develop a mechanistic bacterial dose–response model, based on the concept of Key Events Dose–Response Framework (KEDRF), this study aimed to investigate the invasion of intestinal model cells (Caco‐2) by Salmonella Typhimurium and Listeria monocytogenes and described the behaviour of both pathogens as a mathematical model using Bayesian inference. Monolayer‐cultured Caco‐2 cells (approximately 10 5 cells) were co‐cultured with various concentrations (10 3 –10 7 colony forming unit [CFU] ml −1 ) of Salm. Typhimurium and L. monocytogenes for up to 9 h to investigate the invasion of the pathogens into the Caco‐2 cells. While an exposure of ≥10 3 CFU ml −1 of Salm. Typhimurium initiated the invasion of Caco‐2 cells within 3 h, much less exposure (10 2 CFU ml −1 ) of L. monocytogenes was sufficient for invasion within the same period. Furthermore, while the maximum number of invading Salm. Typhimurium cells reached by approximately 10 3 CFU cm −2 for 6‐h exposure, the invading maximum numbers of L. monocytogenes cells increased by approximately 10 6 CFU cm −2 for the same exposure period. The invasion kinetics of both the pathogens was successfully described as an asymptotic exponential mathematical model using Bayesian inference. The developed pathogen invasion model allowed the estimation of probability of Salm. Typhimurium and L. monocytogenes infection, based on the physiological natures of digestion process, which was comparable to the published dose–responseAbstract: To develop a mechanistic bacterial dose–response model, based on the concept of Key Events Dose–Response Framework (KEDRF), this study aimed to investigate the invasion of intestinal model cells (Caco‐2) by Salmonella Typhimurium and Listeria monocytogenes and described the behaviour of both pathogens as a mathematical model using Bayesian inference. Monolayer‐cultured Caco‐2 cells (approximately 10 5 cells) were co‐cultured with various concentrations (10 3 –10 7 colony forming unit [CFU] ml −1 ) of Salm. Typhimurium and L. monocytogenes for up to 9 h to investigate the invasion of the pathogens into the Caco‐2 cells. While an exposure of ≥10 3 CFU ml −1 of Salm. Typhimurium initiated the invasion of Caco‐2 cells within 3 h, much less exposure (10 2 CFU ml −1 ) of L. monocytogenes was sufficient for invasion within the same period. Furthermore, while the maximum number of invading Salm. Typhimurium cells reached by approximately 10 3 CFU cm −2 for 6‐h exposure, the invading maximum numbers of L. monocytogenes cells increased by approximately 10 6 CFU cm −2 for the same exposure period. The invasion kinetics of both the pathogens was successfully described as an asymptotic exponential mathematical model using Bayesian inference. The developed pathogen invasion model allowed the estimation of probability of Salm. Typhimurium and L. monocytogenes infection, based on the physiological natures of digestion process, which was comparable to the published dose–response relationship. The invasion models developed in the present study will play a key role in the development of an alternative pathogen dose–response model based on KEDRF concept. Abstract: Significance and Impact of the Study: This study described the invasion of small intestinal epithelial‐like cells by Salmonella Typhimurium and Listeria monocytogenes using a mathematical model and statistical variation using Bayesian inference. The invasion model enabled the estimation of infection probability based on the assumptions of human digestion process. The infection probability of Salm. Typhimurium, estimated from the invasion model, was comparable to the results reported in literature. Both invasion model and the calculation procedure for infection probability would contribute to the development of an alternative mechanistic dose–response model based on the concept of Key Events Dose–Response Framework for the two pathogens. … (more)
- Is Part Of:
- Letters in applied microbiology. Volume 75:Number 2(2022)
- Journal:
- Letters in applied microbiology
- Issue:
- Volume 75:Number 2(2022)
- Issue Display:
- Volume 75, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 75
- Issue:
- 2
- Issue Sort Value:
- 2022-0075-0002-0000
- Page Start:
- 388
- Page End:
- 395
- Publication Date:
- 2022-08-01
- Subjects:
- dose–response -- intestinal epithelial‐like cells -- Listeria monocytogenes -- mathematical model -- Salmonella Typhimurium
Microbiology -- Periodicals
660.62 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1472-765X ↗
https://academic.oup.com/lambio ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/lam.13738 ↗
- Languages:
- English
- ISSNs:
- 0266-8254
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5185.126700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 25157.xml