Mathematical modeling of bacterial kinetics to predict the impact of antibiotic colonic exposure and treatment duration on the amount of resistant enterobacteria excreted

Fecal excretion of antibiotics and resistant bacteria in the environment are major public health threats associated with extensive farming and modern medical care. Innovative strategies that can reduce the intestinal antibiotic concentrations during treatments are in development. However, the effect...

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Published in:PLoS computational biology Vol. 10; no. 9; p. e1003840
Main Authors: Nguyen, Thu Thuy, Guedj, Jeremie, Chachaty, Elisabeth, de Gunzburg, Jean, Andremont, Antoine, Mentré, France
Format: Journal Article
Language:English
Published: United States Public Library of Science 01-09-2014
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Summary:Fecal excretion of antibiotics and resistant bacteria in the environment are major public health threats associated with extensive farming and modern medical care. Innovative strategies that can reduce the intestinal antibiotic concentrations during treatments are in development. However, the effect of lower exposure on the amount of resistant enterobacteria excreted has not been quantified, making it difficult to anticipate the impact of these strategies. Here, we introduce a bacterial kinetic model to capture the complex relationships between drug exposure, loss of susceptible enterobacteria and growth of resistant strains in the feces of piglets receiving placebo, 1.5 or 15 mg/kg/day ciprofloxacin, a fluoroquinolone, for 5 days. The model could well describe the kinetics of drug susceptible and resistant enterobacteria observed during treatment, and up to 22 days after treatment cessation. Next, the model was used to predict the expected amount of resistant enterobacteria excreted over an average piglet's lifetime (150 days) when varying drug exposure and treatment duration. For the clinically relevant dose of 15 mg/kg/day for 5 days, the total amount of resistant enterobacteria excreted was predicted to be reduced by 75% and 98% when reducing treatment duration to 3 and 1 day treatment, respectively. Alternatively, for a fixed 5-days treatment, the level of resistance excreted could be reduced by 18%, 33%, 57.5% and 97% if 3, 5, 10 and 30 times lower levels of colonic drug concentrations were achieved, respectively. This characterization on in vivo data of the dynamics of resistance to antibiotics in the colonic flora could provide new insights into the mechanism of dissemination of resistance and can be used to design strategies aiming to reduce it.
Bibliography:PMCID: PMC4161292
Analyzed the data: TTN JG. Contributed reagents/materials/analysis tools: TTN JG EC JdG AA FM. Wrote the paper: TTN JG EC JdG AA FM.
We have read the journal's policy and have the following conflicts: Thu Thuy Nguyen performed statistical work for the Da Volterra Company through a contract with UMR 738 INSERM and University Paris Diderot. Elisabeth Chachaty is a consultant for the Da Volterra Company. Antoine Andremont is a scientific adviser of the Da Volterra Company within the framework of the French law on Innovation and Research. France Mentré is a consultant for the Da Volterra Company.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1003840