s-013420 and Haemophilus-Infections

s-013420 has been researched along with Haemophilus-Infections* in 1 studies

Other Studies

1 other study(ies) available for s-013420 and Haemophilus-Infections

ArticleYear
Pharmacokinetic/pharmacodynamic modeling for concentration-dependent bactericidal activity of a bicyclolide, modithromycin.
    Journal of pharmaceutical sciences, 2014, Volume: 103, Issue:4

    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.

    Topics: Anti-Bacterial Agents; Area Under Curve; Bridged-Ring Compounds; Haemophilus Infections; Haemophilus influenzae; Humans; Macrolides; Microbial Sensitivity Tests; Models, Biological; Pneumococcal Infections; Staphylococcal Infections; Staphylococcus aureus; Streptococcus pneumoniae

2014