ArticleAntimicrobial agents and chemotherapy2015
Pharmacokinetic-pharmacodynamic model to evaluate intramuscular tetracycline treatment protocols to prevent antimicrobial resistance in pigs.
Article in Antimicrobial agents and chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Effect of Tetracycline Dose and Treatment Mode on Selection of Resistant Coliform Bacteria in Nursery Pigs.Applied and environmental microbiology · 2017Trial
- Mathematical Models of Plasmid Population Dynamics.Frontiers in microbiology · 2021Review
- Design of Multiplex Lateral Flow Tests: A Case Study for Simultaneous Detection of Three Antibiotics.Biosensors · 2020Article
- The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data.PloS one · 2020Article
- Expanding behavior pattern sensitivity analysis with model selection and survival analysis.BMC veterinary research · 2018Article
- Development of Immunochromatographic Assay for Determination of Tetracycline in Human Serum.Antibiotics (Basel, Switzerland) · 2018Article
- Models of antimicrobial pressure on intestinal bacteria of the treated host populations.Epidemiology and infection · 2017Article
- Genotype variation and genetic relationship among Escherichia coli from nursery pigs located in different pens in the same farm.BMC microbiology · 2017Article
- Monte Carlo Simulations Suggest Current Chlortetracycline Drug-Residue Based Withdrawal Periods Would Not Control Antimicrobial Resistance Dissemination from Feedlot to Slaughterhouse.Frontiers in microbiology · 2017Article
- Modeling the growth dynamics of multiple Escherichia coli strains in the pig intestine following intramuscular ampicillin treatment.BMC microbiology · 2016Article
- Multistrain models predict sequential multidrug treatment strategies to result in less antimicrobial resistance than combination treatment.BMC microbiology · 2016Article
- Complex Interplay of Physiology and Selection in the Emergence of Antibiotic Resistance.Current biology : CB · 2016Article
- Pharmacodynamic modelling of in vitro activity of tetracycline against a representative, naturally occurring population of porcine Escherichia coli.Acta veterinaria Scandinavica · 2015Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High instances of antimicrobial resistance are linked to both routine and excessive antimicrobial use, but excessive or inappropriate use represents an unnecessary risk. The competitive growth advantages of resistant bacteria may be amplified by the strain dynamics; in particular, the extent to which resistant strains outcompete susceptible strains under antimicrobial pressure may depend not only on the antimicrobial treatment strategies but also on the epidemiological parameters, such as the composition of the bacterial strains in a pig. This study evaluated how variation in the dosing protocol for intramuscular administration of tetracycline and the composition of bacterial strains in a pig affect the level of resistance in the intestine of a pig. Predictions were generated by a mathematical model of competitive growth of Escherichia coli strains in pigs under specified plasma concentration profiles of tetracycline. All dosing regimens result in a clear growth advantage for resistant strains. Short treatment duration was found to be preferable, since it allowed less time for resistant strains to outcompete the susceptible ones. Dosing frequency appeared to be ineffective at reducing the resistance levels. The number of competing strains had no apparent effect on the resistance level during treatment, but possession of fewer strains reduced the time to reach equilibrium after the end of treatment. To sum up, epidemiological parameters may have more profound influence on growth dynamics than dosing regimens and should be considered when designing improved treatment protocols.
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