ArticleActa veterinaria Scandinavica2015
Pharmacodynamic modelling of in vitro activity of tetracycline against a representative, naturally occurring population of porcine Escherichia coli.
Article in Acta veterinaria Scandinavica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Effect of Tetracycline Dose and Treatment Mode on Selection of Resistant Coliform Bacteria in Nursery Pigs.Applied and environmental microbiology · 2017Trial
- Whole-cell modeling of E. coli colonies enables quantification of single-cell heterogeneity in antibiotic responses.PLoS computational biology · 2023Article
- Effect of Different Tolerable Levels of ConstitutiveMicrobiology spectrum · 2022Article
- Modelling the antimicrobial pharmacodynamics for bacterial strains with versus without acquired resistance to fluoroquinolones or cephalosporins.Journal of global antimicrobial resistance · 2022Article
- PathogenicAntibiotics (Basel, Switzerland) · 2020Article
- Highly Elastic and Water Stable Zein Microfibers as a Potential Drug Delivery System for Wound Healing.Pharmaceutics · 2020Article
- Insight into synergetic mechanisms of tetracycline and the selective serotonin reuptake inhibitor, sertraline, in a tetracycline-resistant strain of Escherichia coli.The Journal of antibiotics · 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
- Limitations of MIC as sole metric of pharmacodynamic response across the range of antimicrobial susceptibilities within a single bacterial species.Scientific reports · 2016Article
- 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
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe complex relationship between drug concentrations and bacterial growth rates require not only the minimum inhibitory concentration but also other parameters to capture the dynamic nature of the relationship. To analyse this relationship between tetracycline concentration and growth of Escherichia coli representative of those found in the Danish pig population, we compared the growth of 50 randomly selected strains. The observed net growth rates were used to describe the in vitro pharmacodynamic relationship between drug concentration and net growth rate based on E max model with three parameters: maximum net growth rate (amax); concentration for a half-maximal response (E max); and the Hill coefficient (γ).
resultsThe net growth rate in the absence of antibiotic did not differ between susceptible and resistant isolates (P = 0.97). The net growth rate decreased with increasing tetracycline concentrations, and this decline was greater in susceptible strains than resistant strains. The lag phase, defined as the time needed for the strain to reach an OD600 value of 0.01, increased exponentially with increasing tetracycline concentration. The pharmacodynamic parameters confirmed that the αmax between susceptible and resistant strains in the absence of a drug was not different. EC 50 increased linearly with MIC on a log-log scale, and γ was different between susceptible and resistant strains.
conclusionsThe in vitro model parameters described the inhibition effect of tetracycline on E. coli when strains were exposed to a wide range of tetracycline concentrations. These parameters, along with in vivo pharmacokinetic data, may be useful in mathematical models to predict in vivo competitive growth of many different strains and for development of optimal dosing regimens for preventing selection of resistance.
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