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The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data

Antimicrobial drugs administered systemically may cause the emergence and dissemination of antimicrobial resistance among enteric bacteria. To develop logical, research-based recommendations for food animal veterinarians, we must understand how to maximize antimicrobial drug efficacy while minimizin...

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Autores principales: Erwin, Samantha, Foster, Derek M., Jacob, Megan E., Papich, Mark G., Lanzas, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6993981/
https://www.ncbi.nlm.nih.gov/pubmed/32004337
http://dx.doi.org/10.1371/journal.pone.0228138
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author Erwin, Samantha
Foster, Derek M.
Jacob, Megan E.
Papich, Mark G.
Lanzas, Cristina
author_facet Erwin, Samantha
Foster, Derek M.
Jacob, Megan E.
Papich, Mark G.
Lanzas, Cristina
author_sort Erwin, Samantha
collection PubMed
description Antimicrobial drugs administered systemically may cause the emergence and dissemination of antimicrobial resistance among enteric bacteria. To develop logical, research-based recommendations for food animal veterinarians, we must understand how to maximize antimicrobial drug efficacy while minimizing risk of antimicrobial resistance. Our objective is to evaluate the effect of two approved dosing regimens of enrofloxacin (a single high dose or three low doses) on Escherichia coli in cattle. We look specifically at bacteria above and below the epidemiological cutoff (ECOFF), above which the bacteria are likely to have an acquired or mutational resistance to enrofloxacin. We developed a differential equation model for the antimicrobial drug concentrations in plasma and colon, and bacteria populations in the feces. The model was fit to animal data of drug concentrations in the plasma and colon obtained using ultrafiltration probes. Fecal E. coli counts and minimum inhibitory concentrations were measured for the week after receiving the antimicrobial drug. We predict that the antimicrobial susceptibility of the bacteria above the ECOFF pre-treatment strongly affects the composition of the bacteria following treatment. Faster removal of the antimicrobial drugs from the colon throughout the study leads to improved clearance of bacteria above the ECOFF in the low dose regimen. If we assume a fitness cost is associated with bacteria above the ECOFF, the increased fitness costs leads to reduction of bacteria above the ECOFF in the low dose study. These results suggest the initial E. coli susceptibility is a strong indicator of how steers respond to antimicrobial drug treatment.
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spelling pubmed-69939812020-02-20 The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data Erwin, Samantha Foster, Derek M. Jacob, Megan E. Papich, Mark G. Lanzas, Cristina PLoS One Research Article Antimicrobial drugs administered systemically may cause the emergence and dissemination of antimicrobial resistance among enteric bacteria. To develop logical, research-based recommendations for food animal veterinarians, we must understand how to maximize antimicrobial drug efficacy while minimizing risk of antimicrobial resistance. Our objective is to evaluate the effect of two approved dosing regimens of enrofloxacin (a single high dose or three low doses) on Escherichia coli in cattle. We look specifically at bacteria above and below the epidemiological cutoff (ECOFF), above which the bacteria are likely to have an acquired or mutational resistance to enrofloxacin. We developed a differential equation model for the antimicrobial drug concentrations in plasma and colon, and bacteria populations in the feces. The model was fit to animal data of drug concentrations in the plasma and colon obtained using ultrafiltration probes. Fecal E. coli counts and minimum inhibitory concentrations were measured for the week after receiving the antimicrobial drug. We predict that the antimicrobial susceptibility of the bacteria above the ECOFF pre-treatment strongly affects the composition of the bacteria following treatment. Faster removal of the antimicrobial drugs from the colon throughout the study leads to improved clearance of bacteria above the ECOFF in the low dose regimen. If we assume a fitness cost is associated with bacteria above the ECOFF, the increased fitness costs leads to reduction of bacteria above the ECOFF in the low dose study. These results suggest the initial E. coli susceptibility is a strong indicator of how steers respond to antimicrobial drug treatment. Public Library of Science 2020-01-31 /pmc/articles/PMC6993981/ /pubmed/32004337 http://dx.doi.org/10.1371/journal.pone.0228138 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Erwin, Samantha
Foster, Derek M.
Jacob, Megan E.
Papich, Mark G.
Lanzas, Cristina
The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data
title The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data
title_full The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data
title_fullStr The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data
title_full_unstemmed The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data
title_short The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data
title_sort effect of enrofloxacin on enteric escherichia coli: fitting a mathematical model to in vivo data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6993981/
https://www.ncbi.nlm.nih.gov/pubmed/32004337
http://dx.doi.org/10.1371/journal.pone.0228138
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