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A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms

The ecological and human health impact of antibiotic use and the related antimicrobial resistance (AMR) in animal husbandry is poorly understood. In many countries, there has been considerable pressure to reduce overall antibiotic use in agriculture or to cease or minimise use of human critical anti...

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Autores principales: Lanyon, Christopher W., King, John R., Stekel, Dov J., Gomes, Rachel L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921080/
https://www.ncbi.nlm.nih.gov/pubmed/33646415
http://dx.doi.org/10.1007/s11538-021-00865-9
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author Lanyon, Christopher W.
King, John R.
Stekel, Dov J.
Gomes, Rachel L.
author_facet Lanyon, Christopher W.
King, John R.
Stekel, Dov J.
Gomes, Rachel L.
author_sort Lanyon, Christopher W.
collection PubMed
description The ecological and human health impact of antibiotic use and the related antimicrobial resistance (AMR) in animal husbandry is poorly understood. In many countries, there has been considerable pressure to reduce overall antibiotic use in agriculture or to cease or minimise use of human critical antibiotics. However, a more nuanced approach would consider the differential impact of use of different antibiotic classes; for example, it is not known whether reduced use of bacteriostatic or bacteriolytic classes of antibiotics would be of greater value. We have developed an ordinary differential equation model to investigate the effects of farm practice on the spread and persistence of AMR in the dairy slurry tank environment. We model the chemical fate of bacteriolytic and bacteriostatic antibiotics within the slurry and their effect on a population of bacteria, which are capable of resistance to both types of antibiotic. Through our analysis, we find that changing the rate at which a slurry tank is emptied may delay the proliferation of multidrug-resistant bacteria by up to five years depending on conditions. This finding has implications for farming practice and the policies that influence waste management practices. We also find that, within our model, the development of multidrug resistance is particularly sensitive to the use of bacteriolytic antibiotics, rather than bacteriostatic antibiotics, and this may be cause for controlling the usage of bacteriolytic antibiotics in agriculture.
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spelling pubmed-79210802021-03-19 A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms Lanyon, Christopher W. King, John R. Stekel, Dov J. Gomes, Rachel L. Bull Math Biol Original Article The ecological and human health impact of antibiotic use and the related antimicrobial resistance (AMR) in animal husbandry is poorly understood. In many countries, there has been considerable pressure to reduce overall antibiotic use in agriculture or to cease or minimise use of human critical antibiotics. However, a more nuanced approach would consider the differential impact of use of different antibiotic classes; for example, it is not known whether reduced use of bacteriostatic or bacteriolytic classes of antibiotics would be of greater value. We have developed an ordinary differential equation model to investigate the effects of farm practice on the spread and persistence of AMR in the dairy slurry tank environment. We model the chemical fate of bacteriolytic and bacteriostatic antibiotics within the slurry and their effect on a population of bacteria, which are capable of resistance to both types of antibiotic. Through our analysis, we find that changing the rate at which a slurry tank is emptied may delay the proliferation of multidrug-resistant bacteria by up to five years depending on conditions. This finding has implications for farming practice and the policies that influence waste management practices. We also find that, within our model, the development of multidrug resistance is particularly sensitive to the use of bacteriolytic antibiotics, rather than bacteriostatic antibiotics, and this may be cause for controlling the usage of bacteriolytic antibiotics in agriculture. Springer US 2021-03-01 2021 /pmc/articles/PMC7921080/ /pubmed/33646415 http://dx.doi.org/10.1007/s11538-021-00865-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Lanyon, Christopher W.
King, John R.
Stekel, Dov J.
Gomes, Rachel L.
A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms
title A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms
title_full A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms
title_fullStr A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms
title_full_unstemmed A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms
title_short A Model to Investigate the Impact of Farm Practice on Antimicrobial Resistance in UK Dairy Farms
title_sort model to investigate the impact of farm practice on antimicrobial resistance in uk dairy farms
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921080/
https://www.ncbi.nlm.nih.gov/pubmed/33646415
http://dx.doi.org/10.1007/s11538-021-00865-9
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