ArticleAntimicrobial agents and chemotherapy2013
Bacterial resistance studies using in vitro dynamic models: the predictive power of the mutant prevention and minimum inhibitory antibiotic concentrations.
Article in Antimicrobial agents and chemotherapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- What Antibiotic Exposures Are Required to Suppress the Emergence of Resistance for Gram-Negative Bacteria? A Systematic Review.Clinical pharmacokinetics · 2019Pooled it
- In vitro synergistic effect and mutant prevention concentration of eravacycline alone or in combination with various antibiotics against OXA-48 producing enterobacterales.The Journal of antibiotics · 2025Article
- Comparing the minimum inhibitory and mutant prevention concentrations of selected antibiotics against animal isolates of Pasteurella multocida and Salmonella typhimurium.The Onderstepoort journal of veterinary research · 2022Article
- MPC-Based Prediction of Anti-Mutant Effectiveness of Antibiotic Combinations: In Vitro Model Study with Daptomycin and Gentamicin againstAntibiotics (Basel, Switzerland) · 2021Article
- Time inside the mutant selection window as a predictor of staphylococcal resistance to linezolid.The Journal of antibiotics · 2018Article
- Optimization of Antimicrobial Treatment to Minimize Resistance Selection.Microbiology spectrum · 2018Review
- Predicting drug resistance evolution: insights from antimicrobial peptides and antibiotics.Proceedings. Biological sciences · 2018Article
- Article
- Preventing Data Ambiguity in Infectious Diseases with Four-Dimensional and Personalized Evaluations.PloS one · 2016Article
- Searching for the Optimal Predictor of Ciprofloxacin Resistance in Klebsiella pneumoniae by Using In Vitro Dynamic Models.Antimicrobial agents and chemotherapy · 2015Article
- Antibiotic Development and the Evolving Role of Pharmacodynamics - As Good as It Gets?EBioMedicine · 2015Article
- In vitro resistance studies with bacteria that exhibit low mutation frequencies: prediction of "antimutant" linezolid concentrations using a mixed inoculum containing both susceptible and resistant Staphylococcus aureus.Antimicrobial agents and chemotherapy · 2015Article
- Evaluation of meropenem regimens suppressing emergence of resistance in Acinetobacter baumannii with human simulated exposure in an in vitro intravenous-infusion hollow-fiber infection model.Antimicrobial agents and chemotherapy · 2014Article
- Selection of target mutation in rat gastrointestinal tract E. coli by minute dosage of enrofloxacin.Frontiers in microbiology · 2014Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In light of the concept of the mutant selection window, i.e., the range between the MIC and the mutant prevention concentration (MPC), MPC-related pharmacokinetic indices should be more predictive of bacterial resistance than the respective MIC-related indices. However, experimental evidence of this hypothesis remains limited and contradictory. To examine the predictive power of the ratios of the area under the curve (AUC24) to the MPC and the MIC, the selection of ciprofloxacin-resistant mutants of four Escherichia coli strains with different MPC/MIC ratios was studied. Each organism was exposed to twice-daily ciprofloxacin for 3 days at AUC24/MIC ratios that provide peak antibiotic concentrations close to the MIC, between the MIC and the MPC, and above the MPC. Resistant E. coli was intensively enriched at AUC24/MPCs from 1 to 10 h (AUC24/MIC from 60 to 360 h) but not at the lower or higher AUC24/MPC and AUC24/MIC ratios. AUC24/MPC and AUC24/MIC relationships of the areas under the time courses of ciprofloxacin-resistant E. coli (AUBCM) were bell-shaped. A Gaussian-like function fits the AUBCM-AUC24/MPC and AUBCM-AUC24/MIC data combined for all organisms (r(2) = 0.69 and 0.86, respectively). The predicted anti-mutant AUC24/MPC ratio was 58 ± 35 h, and the respective AUC24/MIC ratio was 1,080 ± 416 h. Although AUC24/MPC was less predictive of strain-independent E. coli resistance than AUC24/MIC, the established anti-mutant AUC24/MPC ratio was closer to values reported for Staphylococcus aureus (60 to 69 h) than the respective AUC24/MIC ratio (1,080 versus 200 to 240 h). This implies that AUC24/MPC might be a better interspecies predictor of bacterial resistance than AUC24/MIC.
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