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

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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, Soren Saxmose.

I: B M C Microbiology, Bind 16, 118, 23.06.2016.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Ahmad, A, Zachariasen, C, Christiansen, LE, Græsbøll, K, Toft, N, Matthews, L, Olsen, JE & Nielsen, SS 2016, 'Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment', B M C Microbiology, bind 16, 118. https://doi.org/10.1186/s12866-016-0724-5

APA

Ahmad, A., Zachariasen, C., Christiansen, L. E., Græsbøll, K., Toft, N., Matthews, L., Olsen, J. E., & Nielsen, S. S. (2016). Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment. B M C Microbiology, 16, [118]. https://doi.org/10.1186/s12866-016-0724-5

Vancouver

Ahmad A, Zachariasen C, Christiansen LE, Græsbøll K, Toft N, Matthews L o.a. Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment. B M C Microbiology. 2016 jun. 23;16. 118. https://doi.org/10.1186/s12866-016-0724-5

Author

Ahmad, Amais ; Zachariasen, Camilla ; Christiansen, Lasse Engbo ; Græsbøll, Kaare ; Toft, Nils ; Matthews, Louise ; Olsen, John Elmerdahl ; Nielsen, Soren Saxmose. / Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment. I: B M C Microbiology. 2016 ; Bind 16.

Bibtex

@article{125c4273e5df421e824f194681ba018d,
title = "Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment",
abstract = "BackgroundCombination 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.ResultsSimulation 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.ConclusionSequential 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.",
keywords = "Antimicrobial resistance, Ampicillin, Tetracycline, Pharmacodynamic, Dosing strategies, Pig, Bacterial growth",
author = "Amais Ahmad and Camilla Zachariasen and Christiansen, {Lasse Engbo} and Kaare Gr{\ae}sb{\o}ll and Nils Toft and Louise Matthews and Olsen, {John Elmerdahl} and Nielsen, {Soren Saxmose}",
year = "2016",
month = jun,
day = "23",
doi = "10.1186/s12866-016-0724-5",
language = "English",
volume = "16",
journal = "BMC Microbiology",
issn = "1471-2180",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment

AU - Ahmad, Amais

AU - Zachariasen, Camilla

AU - Christiansen, Lasse Engbo

AU - Græsbøll, Kaare

AU - Toft, Nils

AU - Matthews, Louise

AU - Olsen, John Elmerdahl

AU - Nielsen, Soren Saxmose

PY - 2016/6/23

Y1 - 2016/6/23

N2 - BackgroundCombination 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.ResultsSimulation 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.ConclusionSequential 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.

AB - BackgroundCombination 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.ResultsSimulation 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.ConclusionSequential 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.

KW - Antimicrobial resistance

KW - Ampicillin

KW - Tetracycline

KW - Pharmacodynamic

KW - Dosing strategies

KW - Pig

KW - Bacterial growth

U2 - 10.1186/s12866-016-0724-5

DO - 10.1186/s12866-016-0724-5

M3 - Journal article

C2 - 27338861

VL - 16

JO - BMC Microbiology

JF - BMC Microbiology

SN - 1471-2180

M1 - 118

ER -

ID: 164109957