Literature DB >> 24975545

Listeria monocytogenes dose response revisited--incorporating adjustments for variability in strain virulence and host susceptibility.

Régis Pouillot1, Karin Hoelzer, Yuhuan Chen, Sherri B Dennis.   

Abstract

Evaluations of Listeria monocytogenes dose-response relationships are crucially important for risk assessment and risk management, but are complicated by considerable variability across population subgroups and L. monocytogenes strains. Despite difficulties associated with the collection of adequate data from outbreak investigations or sporadic cases, the limitations of currently available animal models, and the inability to conduct human volunteer studies, some of the available data now allow refinements of the well-established exponential L. monocytogenes dose response to more adequately represent extremely susceptible population subgroups and highly virulent L. monocytogenes strains. Here, a model incorporating adjustments for variability in L. monocytogenes strain virulence and host susceptibility was derived for 11 population subgroups with similar underlying comorbidities using data from multiple sources, including human surveillance and food survey data. In light of the unique inherent properties of L. monocytogenes dose response, a lognormal-Poisson dose-response model was chosen, and proved able to reconcile dose-response relationships developed based on surveillance data with outbreak data. This model was compared to a classical beta-Poisson dose-response model, which was insufficiently flexible for modeling the specific case of L. monocytogenes dose-response relationships, especially in outbreak situations. Overall, the modeling results suggest that most listeriosis cases are linked to the ingestion of food contaminated with medium to high concentrations of L. monocytogenes. While additional data are needed to refine the derived model and to better characterize and quantify the variability in L. monocytogenes strain virulence and individual host susceptibility, the framework derived here represents a promising approach to more adequately characterize the risk of listeriosis in highly susceptible population subgroups.
© 2014 Society for Risk Analysis.

Entities:  

Keywords:  Dose response; Listeria monocytogenes; risk assessment

Mesh:

Year:  2014        PMID: 24975545     DOI: 10.1111/risa.12235

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  14 in total

1.  Infectious Dose of Listeria monocytogenes in Outbreak Linked to Ice Cream, United States, 2015.

Authors:  Régis Pouillot; Karl C Klontz; Yi Chen; Laurel S Burall; Dumitru Macarisin; Matthew Doyle; Kären M Bally; Errol Strain; Atin R Datta; Thomas S Hammack; Jane M Van Doren
Journal:  Emerg Infect Dis       Date:  2016-12       Impact factor: 6.883

2.  Population Genetic Structure of Listeria monocytogenes Strains as Determined by Pulsed-Field Gel Electrophoresis and Multilocus Sequence Typing.

Authors:  Clémentine Henri; Benjamin Félix; Laurent Guillier; Pimlapas Leekitcharoenphon; Damien Michelon; Jean-François Mariet; Frank M Aarestrup; Michel-Yves Mistou; René S Hendriksen; Sophie Roussel
Journal:  Appl Environ Microbiol       Date:  2016-08-30       Impact factor: 4.792

3.  Emerging microbiota during cold storage and temperature abuse of ready-to-eat salad​.

Authors:  Karin Söderqvist; Omneya Ahmed Osman; Cecilia Wolff; Stefan Bertilsson; Ivar Vågsholm; Sofia Boqvist
Journal:  Infect Ecol Epidemiol       Date:  2017-06-06

4.  Unraveling the dose-response puzzle of L. monocytogenes: A mechanistic approach.

Authors:  S M Ashrafur Rahman; Daniel Munther; Aamir Fazil; Ben Smith; Jianhong Wu
Journal:  Infect Dis Model       Date:  2016-09-23

5.  Machine Learning Methods as a Tool for Predicting Risk of Illness Applying Next-Generation Sequencing Data.

Authors:  Patrick Murigu Kamau Njage; Clementine Henri; Pimlapas Leekitcharoenphon; Michel-Yves Mistou; Rene S Hendriksen; Tine Hald
Journal:  Risk Anal       Date:  2018-11-21       Impact factor: 4.000

6.  Persistent and sporadic Listeria monocytogenes strains do not differ when growing at 37 °C, in planktonic state, under different food associated stresses or energy sources.

Authors:  Alexander J Taylor; Matthew J Stasiewicz
Journal:  BMC Microbiol       Date:  2019-11-19       Impact factor: 3.605

7.  Genetic diversity and profiles of genes associated with virulence and stress resistance among isolates from the 2010-2013 interagency Listeria monocytogenes market basket survey.

Authors:  Yi Chen; Yuhuan Chen; Régis Pouillot; Sherri Dennis; Zhihan Xian; John B Luchansky; Anna C S Porto-Fett; James A Lindsay; Thomas S Hammack; Marc Allard; Jane M Van Doren; Eric W Brown
Journal:  PLoS One       Date:  2020-04-30       Impact factor: 3.240

8.  Quantitative Microbial Risk Assessment Based on Whole Genome Sequencing Data: Case of Listeria monocytogenes.

Authors:  Patrick Murigu Kamau Njage; Pimlapas Leekitcharoenphon; Lisbeth Truelstrup Hansen; Rene S Hendriksen; Christel Faes; Marc Aerts; Tine Hald
Journal:  Microorganisms       Date:  2020-11-11

9.  Genomic Characterization Helps Dissecting an Outbreak of Listeriosis in Northern Italy.

Authors:  Francesco Comandatore; Marta Corbella; Giuseppina Andreoli; Erika Scaltriti; Massimo Aguzzi; Stefano Gaiarsa; Bianca Mariani; Marina Morganti; Claudio Bandi; Massimo Fabbi; Piero Marone; Stefano Pongolini; Davide Sassera
Journal:  PLoS Curr       Date:  2017-07-06

10.  Advancing risk assessment: mechanistic dose-response modelling of Listeria monocytogenes infection in human populations.

Authors:  Ashrafur Rahman; Daniel Munther; Aamir Fazil; Ben Smith; Jianhong Wu
Journal:  R Soc Open Sci       Date:  2018-08-01       Impact factor: 2.963

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