Zheng Songmao, Matzneller Peter, Zeitlinger Markus, Schmidt Stephan
Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, Florida, USA.
Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
Antimicrob Agents Chemother. 2014 Nov;58(11):6675-84. doi: 10.1128/AAC.02904-14. Epub 2014 Aug 25.
Recent clinical trials indicate that the use of azithromycin is associated with the emergence of macrolide resistance. The objective of our study was to simultaneously characterize free target site concentrations and correlate them with the MIC90s of clinically relevant pathogens. Azithromycin (500 mg once daily [QD]) was administered orally to 6 healthy male volunteers for 3 days. The free concentrations in the interstitial space fluid (ISF) of muscle and subcutaneous fat tissue as well as the total concentrations in plasma and polymorphonuclear leukocytes (PMLs) were determined on days 1, 3, 5, and 10. All concentrations were modeled simultaneously in NONMEM 7.2 using a tissue distribution model that accounts for nonlinear protein binding and ionization state at physiological pH. The model performance and parameter estimates were evaluated via goodness-of-fit plots and nonparametric bootstrap analysis. The model we developed described the concentrations at all sampling sites reasonably well and showed that the overall pharmacokinetics of azithromycin is driven by the release of the drug from acidic cell/tissue compartments. The model-predicted unionized azithromycin (AZM) concentrations in the cytosol of PMLs (6.0 ± 1.2 ng/ml) were comparable to the measured ISF concentrations in the muscle (8.7 ± 2.9 ng/ml) and subcutis (4.1 ± 2.4 ng/ml) on day 10, whereas the total PML concentrations were >1,000-fold higher (14,217 ± 2,810 ng/ml). The total plasma and free ISF concentrations were insufficient to exceed the MIC90s of the skin pathogens at all times. Our results indicate that the slow release of azithromycin from low pH tissue/cell compartments is responsible for the long terminal half-life of the drug and thus the extended period of time during which free concentrations reside at subinhibitory concentrations.
近期临床试验表明,使用阿奇霉素与大环内酯类耐药性的出现有关。我们研究的目的是同时表征游离靶位浓度,并将其与临床相关病原体的MIC90进行关联。对6名健康男性志愿者口服阿奇霉素(500mg,每日1次[QD]),持续3天。在第1、3、5和10天测定肌肉和皮下脂肪组织间质液(ISF)中的游离浓度以及血浆和多形核白细胞(PML)中的总浓度。使用考虑了生理pH下非线性蛋白结合和离子化状态的组织分布模型,在NONMEM 7.2中对所有浓度进行同步建模。通过拟合优度图和非参数自举分析评估模型性能和参数估计。我们开发的模型对所有采样点的浓度描述得相当好,表明阿奇霉素的总体药代动力学是由药物从酸性细胞/组织隔室的释放所驱动的。模型预测的PML胞质溶胶中未离子化阿奇霉素(AZM)浓度(6.0±1.2ng/ml)与第10天肌肉(8.7±2.9ng/ml)和皮下组织(4.1±2.4ng/ml)中测得的ISF浓度相当,而PML总浓度则高出>1000倍(14217±2810ng/ml)。血浆总浓度和游离ISF浓度在任何时候都不足以超过皮肤病原体的MIC90。我们的结果表明,阿奇霉素从低pH组织/细胞隔室的缓慢释放是药物长末端半衰期的原因,因此也是游离浓度处于亚抑制浓度的延长时间段的原因。