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Sci Rep ; 14(1): 11706, 2024 05 22.
Article in English | MEDLINE | ID: mdl-38778123

ABSTRACT

Co-administering a low dose of colistin (CST) with ciprofloxacin (CIP) may improve the antibacterial effect against resistant Escherichia coli, offering an acceptable benefit-risk balance. This study aimed to quantify the interaction between ciprofloxacin and colistin in an in silico pharmacokinetic-pharmacodynamic model from in vitro static time-kill experiments (using strains with minimum inhibitory concentrations, MICCIP 0.023-1 mg/L and MICCST 0.5-0.75 mg/L). It was also sought to demonstrate an approach of simulating concentrations at the site of infection with population pharmacokinetic and whole-body physiologically based pharmacokinetic models to explore the clinical value of the combination when facing more resistant strains (using extrapolated strains with lower susceptibility). The combined effect in the final model was described as the sum of individual drug effects with a change in drug potency: for ciprofloxacin, concentration at half maximum killing rate (EC50) in combination was 160% of the EC50 in monodrug experiments, while for colistin, the change in EC50 was strain-dependent from 54.1% to 119%. The benefit of co-administrating a lower-than-commonly-administrated colistin dose with ciprofloxacin in terms of drug effect in comparison to either monotherapy was predicted in simulated bloodstream infections and pyelonephritis. The study illustrates the value of pharmacokinetic-pharmacodynamic modelling and simulation in streamlining rational development of antibiotic combinations.


Subject(s)
Anti-Bacterial Agents , Ciprofloxacin , Colistin , Computer Simulation , Escherichia coli , Microbial Sensitivity Tests , Ciprofloxacin/pharmacokinetics , Ciprofloxacin/pharmacology , Colistin/pharmacokinetics , Colistin/pharmacology , Escherichia coli/drug effects , Anti-Bacterial Agents/pharmacokinetics , Anti-Bacterial Agents/pharmacology , Humans , Escherichia coli Infections/drug therapy , Escherichia coli Infections/microbiology , Drug Therapy, Combination , Models, Biological
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