Sou Tomás, Soukarieh Fadi, Williams Paul, Stocks Michael J, Cámara Miguel, Bergström Christel A S
Molecular Pharmaceutics, Department of Pharmacy, Uppsala University, SE-751 23 Uppsala, Sweden.
Pharmacometrics, Department of Pharmacy, Uppsala University, SE-751 23 Uppsala, Sweden.
ACS Omega. 2020 Sep 22;5(40):25733-25746. doi: 10.1021/acsomega.0c03004. eCollection 2020 Oct 13.
For respiratory conditions, targeted drug delivery to the lungs could produce higher local concentrations with reduced risk of adverse events compared to systemic administration. Despite the increasing interest in pulmonary delivery, the pharmacokinetics (PK) of drugs following pulmonary administration remains to be elucidated. In this context, the application of modeling and simulation methodologies to characterize PK properties of compounds following pulmonary administration remains a scarcity. (PA) lung infections are resistant to many of the current antibiotic therapies. Targeted treatments for pulmonary delivery could be particularly beneficial for these local conditions. In this study, we report the application of biopharmaceutical pharmacometrics (BPMX) for the analysis of PK data from three investigational antimicrobial agents following pulmonary administration of a suspension formulation. The observed drug concentration-time profiles in lungs and plasma of the compound series were combined for simultaneous analysis and modeling. The developed model describes the PK data, taking into account formulation properties, and provides a mechanism to predict dissolved drug concentrations in the lungs available for activity. The model was then used to evaluate formulation effects and the impact of variability on total and dissolved drug concentrations in lungs and plasma. The predictions suggest that these therapies for lung delivery should ideally be delivered in a sustained release formulation with high solubility for maximum local exposure in lungs for efficacy, with rapid systemic clearance in plasma for reduced risk of unwanted systemic adverse effects. This work shows the potential benefits of BPMX and the role it can play to support drug discovery and development in pulmonary delivery.
对于呼吸系统疾病,与全身给药相比,将药物靶向递送至肺部可产生更高的局部浓度,同时降低不良事件风险。尽管人们对肺部给药的兴趣日益增加,但肺部给药后药物的药代动力学(PK)仍有待阐明。在此背景下,应用建模和模拟方法来表征肺部给药后化合物的PK特性仍然很少见。肺部感染对许多当前的抗生素治疗具有抗性。肺部给药的靶向治疗对于这些局部病症可能特别有益。在本研究中,我们报告了生物制药药物计量学(BPMX)在分析三种研究用抗菌药物肺部给药悬浮液制剂后的PK数据中的应用。将化合物系列在肺部和血浆中观察到的药物浓度-时间曲线进行合并,以进行同步分析和建模。所开发的模型描述了PK数据,考虑了制剂特性,并提供了一种机制来预测肺部可用于发挥活性的溶解药物浓度。然后使用该模型评估制剂效果以及变异性对肺部和血浆中总药物浓度和溶解药物浓度的影响。预测结果表明,这些肺部给药疗法理想情况下应以高溶解度的缓释制剂给药,以在肺部实现最大局部暴露从而提高疗效,同时在血浆中具有快速的全身清除率,以降低出现不良全身副作用的风险。这项工作展示了BPMX的潜在益处及其在支持肺部给药药物研发中所起的作用。