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Transmission and dose–response experiments for social animals: a reappraisal of the colonization biology of Campylobacter jejuni in chickens

Dose–response experiments characterize the relationship between infectious agents and their hosts. These experiments are routinely used to estimate the minimum effective infectious dose for an infectious agent, which is most commonly characterized by the dose at which 50 per cent of challenged hosts...

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Autores principales: Conlan, Andrew J. K., Line, John E., Hiett, Kelli, Coward, Chris, Van Diemen, Pauline M., Stevens, Mark P., Jones, Michael A., Gog, Julia R., Maskell, Duncan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203482/
https://www.ncbi.nlm.nih.gov/pubmed/21593028
http://dx.doi.org/10.1098/rsif.2011.0125
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author Conlan, Andrew J. K.
Line, John E.
Hiett, Kelli
Coward, Chris
Van Diemen, Pauline M.
Stevens, Mark P.
Jones, Michael A.
Gog, Julia R.
Maskell, Duncan J.
author_facet Conlan, Andrew J. K.
Line, John E.
Hiett, Kelli
Coward, Chris
Van Diemen, Pauline M.
Stevens, Mark P.
Jones, Michael A.
Gog, Julia R.
Maskell, Duncan J.
author_sort Conlan, Andrew J. K.
collection PubMed
description Dose–response experiments characterize the relationship between infectious agents and their hosts. These experiments are routinely used to estimate the minimum effective infectious dose for an infectious agent, which is most commonly characterized by the dose at which 50 per cent of challenged hosts become infected—the ID(50). In turn, the ID(50) is often used to compare between different agents and quantify the effect of treatment regimes. The statistical analysis of dose–response data typically makes the assumption that hosts within a given dose group are independent. For social animals, in particular avian species, hosts are routinely housed together in groups during experimental studies. For experiments with non-infectious agents, this poses no practical or theoretical problems. However, transmission of infectious agents between co-housed animals will modify the observed dose–response relationship with implications for the estimation of the ID(50) and the comparison between different agents and treatments. We derive a simple correction to the likelihood for standard dose–response models that allows us to estimate dose–response and transmission parameters simultaneously. We use this model to show that: transmission between co-housed animals reduces the apparent value of the ID(50) and increases the variability between replicates leading to a distinctive all-or-nothing response; in terms of the total number of animals used, individual housing is always the most efficient experimental design for ascertaining dose–response relationships; estimates of transmission from previously published experimental data for Campylobacter spp. in chickens suggest that considerable transmission occurred, greatly increasing the uncertainty in the estimates of dose–response parameters reported in the literature. Furthermore, we demonstrate that accounting for transmission in the analysis of dose–response data for Campylobacter spp. challenges our current understanding of the differing response of chickens with respect to host-age and in vivo passage of bacteria. Our findings suggest that the age-dependence of transmissibility between hosts—rather than their susceptibility to colonization—is the mechanism behind the ‘lag-phase’ reported in commercial flocks, which are typically found to be Campylobacter free for the first 14–21 days of life.
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spelling pubmed-32034822011-11-10 Transmission and dose–response experiments for social animals: a reappraisal of the colonization biology of Campylobacter jejuni in chickens Conlan, Andrew J. K. Line, John E. Hiett, Kelli Coward, Chris Van Diemen, Pauline M. Stevens, Mark P. Jones, Michael A. Gog, Julia R. Maskell, Duncan J. J R Soc Interface Research Articles Dose–response experiments characterize the relationship between infectious agents and their hosts. These experiments are routinely used to estimate the minimum effective infectious dose for an infectious agent, which is most commonly characterized by the dose at which 50 per cent of challenged hosts become infected—the ID(50). In turn, the ID(50) is often used to compare between different agents and quantify the effect of treatment regimes. The statistical analysis of dose–response data typically makes the assumption that hosts within a given dose group are independent. For social animals, in particular avian species, hosts are routinely housed together in groups during experimental studies. For experiments with non-infectious agents, this poses no practical or theoretical problems. However, transmission of infectious agents between co-housed animals will modify the observed dose–response relationship with implications for the estimation of the ID(50) and the comparison between different agents and treatments. We derive a simple correction to the likelihood for standard dose–response models that allows us to estimate dose–response and transmission parameters simultaneously. We use this model to show that: transmission between co-housed animals reduces the apparent value of the ID(50) and increases the variability between replicates leading to a distinctive all-or-nothing response; in terms of the total number of animals used, individual housing is always the most efficient experimental design for ascertaining dose–response relationships; estimates of transmission from previously published experimental data for Campylobacter spp. in chickens suggest that considerable transmission occurred, greatly increasing the uncertainty in the estimates of dose–response parameters reported in the literature. Furthermore, we demonstrate that accounting for transmission in the analysis of dose–response data for Campylobacter spp. challenges our current understanding of the differing response of chickens with respect to host-age and in vivo passage of bacteria. Our findings suggest that the age-dependence of transmissibility between hosts—rather than their susceptibility to colonization—is the mechanism behind the ‘lag-phase’ reported in commercial flocks, which are typically found to be Campylobacter free for the first 14–21 days of life. The Royal Society 2011-12-07 2011-05-18 /pmc/articles/PMC3203482/ /pubmed/21593028 http://dx.doi.org/10.1098/rsif.2011.0125 Text en This journal is © 2011 The Royal Society http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Conlan, Andrew J. K.
Line, John E.
Hiett, Kelli
Coward, Chris
Van Diemen, Pauline M.
Stevens, Mark P.
Jones, Michael A.
Gog, Julia R.
Maskell, Duncan J.
Transmission and dose–response experiments for social animals: a reappraisal of the colonization biology of Campylobacter jejuni in chickens
title Transmission and dose–response experiments for social animals: a reappraisal of the colonization biology of Campylobacter jejuni in chickens
title_full Transmission and dose–response experiments for social animals: a reappraisal of the colonization biology of Campylobacter jejuni in chickens
title_fullStr Transmission and dose–response experiments for social animals: a reappraisal of the colonization biology of Campylobacter jejuni in chickens
title_full_unstemmed Transmission and dose–response experiments for social animals: a reappraisal of the colonization biology of Campylobacter jejuni in chickens
title_short Transmission and dose–response experiments for social animals: a reappraisal of the colonization biology of Campylobacter jejuni in chickens
title_sort transmission and dose–response experiments for social animals: a reappraisal of the colonization biology of campylobacter jejuni in chickens
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3203482/
https://www.ncbi.nlm.nih.gov/pubmed/21593028
http://dx.doi.org/10.1098/rsif.2011.0125
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