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The aim of this study was to develop a pharmacokinetic (PK)/pharmacodynamic (PD) model of a bicyclolide, modithromycin, to explain its concentration-dependent bactericidal activity based on the drug-bacterium interaction model that we developed. We have already reported the applicability of model to the time-dependent activity of β-lactams, and we further applied the model to the concentration-dependent activity in this study. In vitro time-kill data of modithromycin, telithromycin, and clarithromycin against Staphylococcus aureus, Haemophilus influenzae, and Streptococcus pneumoniae were used for the modeling. An effect compartment model was incorporated into our original model to explain the time lag between PK and PD profiles. Also, a turnover model for reversible reduction of efficacy was incorporated to explain the regrowth. The developed model well described the time-kill profiles for each drug-bacterium combination. The estimated parameter related to efficacy strongly correlated with minimum inhibitory concentration (MIC), and the simulated bacterial counts at 24 h strongly correlated with both the ratio of the area under the concentration-time curve to MIC (AUC/MIC) and the ratio of the maximum concentration to MIC (Cmax /MIC). These results suggested that the proposed model can be applied to both concentration-dependent and time-dependent bactericidal kinetics, and would be useful for predicting the bactericidal activity of modithromycin.

The aim of this study was to obtain information on effective dosage regimens of doripenem by a modeling and simulation approach based on pharmacokinetic (PK)/pharmacodynamic (PD) theory. The PK/PD model we have already developed was modified to explain in vitro bactericidal kinetics of doripenem for several Pseudomonas aeruginosa strains. Time-course profiles of bacterial counts in patients infected with P. aeruginosa were simulated for typical clinical dosage regimens in Japan considering the variability of PK and the patients' backgrounds by a Monte Carlo simulation. Moreover, time-course profiles of probability achieving the criterion (log(CFU/mL) < 0) were predicted for the evaluation of antibacterial efficacy by renal function. The in vitro bacterial profiles at various dosage regimens could be well explained by the PK/PD model. The simulations suggested the dependence of antibacterial efficacy on the frequency of administration, indicating time-dependent antibacterial activity. It was also suggested that 500 mg t.i.d. showed significant bacterial reduction in patients for any degree of renal function and any severities in 2 weeks after the start of treatment. Our approach to simulate time-course profiles of bacterial counts should be useful for determining and examining effective dosage regimens, including the treatment period, in drug development.

A pharmacokinetic (PK)/pharmacodynamic (PD) modeling strategy to explain the data from an in vitro dynamic model is proposed. Two carbapenem antibiotics, doripenem and meropenem, and three Pseudomonas aeruginosa strains were used as example drugs and strains. The PD model we originally developed to explain the in vitro time-kill data was modified by incorporating bactericidal activities and simulated in vivo PK profiles of the drugs. By employing only one parameter regarding the bactericidal activity from the data at a certain dosage regimen, the bacterial profiles at various dosage regimens could be well simulated for both antibiotics by the PK/PD model. Moreover, simulated bacterial counts for various dosage regimens correlated with time above minimum inhibitory concentration derived from free drug concentrations (fT > MIC) for doripenem. The predicted fT > MIC values to achieve PK/PD endpoints for three strains (static effect: 25.0%, 23.9%, and 39.8%, 2-log killing effect: 28.1%, 29.5%, and 49.6%, 90% maximum killing effect: 36.5%, 46.8%, and 80.7%) were similar to those estimated from free drug concentrations in animal infection models. The proposed in vitro PK/PD model would be useful for simulating bactericidal kinetics in the dynamic model and predicting the human therapeutic target for PK/PD indices estimated from animal infection models.

A pharmacokinetic (PK)/pharmacodynamic (PD) modeling strategy to simulate in vivo bactericidal effects for three carbapenem antibiotics, doripenem (DRPM), meropenem (MEPM)/cilastatin (CS), and imipenem (IPM)/CS, against a Pseudomonas aeruginosa (P. aeruginosa) strain is proposed. The PD model we have already developed to explain in vitro time-kill profiles was modified to incorporate the growth rate, bactericidal activities, and PK profiles in murine lung infection models. Plasma concentration data and bacterial time-kill data for each antibiotic consist of six and eight time points, respectively, at one dose regimen (four or five mouse/point). In vivo time-kill curves could be well simulated for each antibiotic by the PK/PD model. Simulated bacterial counts at 24 h and PK/PD indices derived from total drug concentrations (time above the minimum inhibitory concentration (MIC) (T > MIC), C(max)/MIC, and AUC/MIC) for various dose regimens were examined for MEPM/CS and IPM/CS. Simulated bacterial counts correlated only with T > MIC (correlation coefficient: 0.951 for MEPM/CS, 0.982 for IPM/CS) and T > MIC values to achieve a bacteriostatic effect and a 2-log killing effect for both antibiotics were estimated to be approximately 15 and 20%, respectively, which are similar to previously reported results. These findings suggested that the proposed PK/PD model is a good tool for predicting in vivo bactericidal effects.