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Computer-aided prediction of macrolide antibiotic concentrations in human circulating polymorphonuclear leucocytes
M J Bouvier d'Yvoire1, I A Dresco, P M Tulkens
1Hoechst Marion Roussel Medical Development, Paris, France.
The Journal of Antimicrobial Chemotherapy
|May 14, 1998
Summary
In vitro studies do not accurately predict intracellular macrolide concentrations. A new model shows roxithromycin and azithromycin achieve higher phagocyte levels than erythromycin in simulated clinical conditions.
Area of Science:
- Pharmacology
- Microbiology
- Drug Discovery
Background:
- In vitro studies using fixed extracellular concentrations may not reflect in vivo intracellular drug levels.
- Macrolide antibiotic penetration and accumulation in phagocytes vary significantly.
- Accurate prediction of intracellular drug concentrations is crucial for effective treatment.
Purpose of the Study:
- To develop a predictive model for intracellular macrolide concentrations in phagocytes.
- To compare the in vivo intracellular concentrations of roxithromycin, azithromycin, and erythromycin.
- To inform rational antibiotic treatment strategies.
Main Methods:
- Developed a pharmacokinetic model incorporating free plasma concentrations and accumulation characteristics.
- Simulated clinical administration conditions for roxithromycin, azithromycin, and erythromycin.
- Focused on intracellular concentrations within human polymorphonuclear leucocytes.
Main Results:
- Roxithromycin and azithromycin demonstrated comparable intracellular concentrations in simulated clinical settings.
- Erythromycin exhibited lower intracellular concentrations compared to roxithromycin and azithromycin.
- The model highlights discrepancies between in vitro and in vivo intracellular drug behavior.
Conclusions:
- Standard in vitro assays are insufficient for predicting intracellular macrolide efficacy.
- A pharmacokinetic modeling approach offers a more accurate method for predicting drug behavior in phagocytes.
- This approach can guide the development of optimized antibiotic dosing regimens and drug selection.