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Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment

BACKGROUND: Combination treatment is increasingly used to fight infections caused by bacteria resistant to two or more antimicrobials. While multiple studies have evaluated treatment strategies to minimize the emergence of resistant strains for single antimicrobial treatment, fewer studies have cons...

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Autores principales: Ahmad, Amais, Zachariasen, Camilla, Christiansen, Lasse Engbo, Græsbøll, Kaare, Toft, Nils, Matthews, Louise, Olsen, John Elmerdahl, Nielsen, Søren Saxmose
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917987/
https://www.ncbi.nlm.nih.gov/pubmed/27338861
http://dx.doi.org/10.1186/s12866-016-0724-5
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author Ahmad, Amais
Zachariasen, Camilla
Christiansen, Lasse Engbo
Græsbøll, Kaare
Toft, Nils
Matthews, Louise
Olsen, John Elmerdahl
Nielsen, Søren Saxmose
author_facet Ahmad, Amais
Zachariasen, Camilla
Christiansen, Lasse Engbo
Græsbøll, Kaare
Toft, Nils
Matthews, Louise
Olsen, John Elmerdahl
Nielsen, Søren Saxmose
author_sort Ahmad, Amais
collection PubMed
description BACKGROUND: Combination treatment is increasingly used to fight infections caused by bacteria resistant to two or more antimicrobials. While multiple studies have evaluated treatment strategies to minimize the emergence of resistant strains for single antimicrobial treatment, fewer studies have considered combination treatments. The current study modeled bacterial growth in the intestine of pigs after intramuscular combination treatment (i.e. using two antibiotics simultaneously) and sequential treatments (i.e. alternating between two antibiotics) in order to identify the factors that favor the sensitive fraction of the commensal flora. Growth parameters for competing bacterial strains were estimated from the combined in vitro pharmacodynamic effect of two antimicrobials using the relationship between concentration and net bacterial growth rate. Predictions of in vivo bacterial growth were generated by a mathematical model of the competitive growth of multiple strains of Escherichia coli. RESULTS: Simulation studies showed that sequential use of tetracycline and ampicillin reduced the level of double resistance, when compared to the combination treatment. The effect of the cycling frequency (how frequently antibiotics are alternated in a sequential treatment) of the two drugs was dependent upon the order in which the two drugs were used. CONCLUSION: Sequential treatment was more effective in preventing the growth of resistant strains when compared to the combination treatment. The cycling frequency did not play a role in suppressing the growth of resistant strains, but the specific order of the two antimicrobials did. Predictions made from the study could be used to redesign multidrug treatment strategies not only for intramuscular treatment in pigs, but also for other dosing routes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12866-016-0724-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-49179872016-06-24 Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment Ahmad, Amais Zachariasen, Camilla Christiansen, Lasse Engbo Græsbøll, Kaare Toft, Nils Matthews, Louise Olsen, John Elmerdahl Nielsen, Søren Saxmose BMC Microbiol Research Article BACKGROUND: Combination treatment is increasingly used to fight infections caused by bacteria resistant to two or more antimicrobials. While multiple studies have evaluated treatment strategies to minimize the emergence of resistant strains for single antimicrobial treatment, fewer studies have considered combination treatments. The current study modeled bacterial growth in the intestine of pigs after intramuscular combination treatment (i.e. using two antibiotics simultaneously) and sequential treatments (i.e. alternating between two antibiotics) in order to identify the factors that favor the sensitive fraction of the commensal flora. Growth parameters for competing bacterial strains were estimated from the combined in vitro pharmacodynamic effect of two antimicrobials using the relationship between concentration and net bacterial growth rate. Predictions of in vivo bacterial growth were generated by a mathematical model of the competitive growth of multiple strains of Escherichia coli. RESULTS: Simulation studies showed that sequential use of tetracycline and ampicillin reduced the level of double resistance, when compared to the combination treatment. The effect of the cycling frequency (how frequently antibiotics are alternated in a sequential treatment) of the two drugs was dependent upon the order in which the two drugs were used. CONCLUSION: Sequential treatment was more effective in preventing the growth of resistant strains when compared to the combination treatment. The cycling frequency did not play a role in suppressing the growth of resistant strains, but the specific order of the two antimicrobials did. Predictions made from the study could be used to redesign multidrug treatment strategies not only for intramuscular treatment in pigs, but also for other dosing routes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12866-016-0724-5) contains supplementary material, which is available to authorized users. BioMed Central 2016-06-23 /pmc/articles/PMC4917987/ /pubmed/27338861 http://dx.doi.org/10.1186/s12866-016-0724-5 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ahmad, Amais
Zachariasen, Camilla
Christiansen, Lasse Engbo
Græsbøll, Kaare
Toft, Nils
Matthews, Louise
Olsen, John Elmerdahl
Nielsen, Søren Saxmose
Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment
title Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment
title_full Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment
title_fullStr Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment
title_full_unstemmed Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment
title_short Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment
title_sort multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4917987/
https://www.ncbi.nlm.nih.gov/pubmed/27338861
http://dx.doi.org/10.1186/s12866-016-0724-5
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