Parmar Keyur R, Lukka Pradeep B, Wagh Santosh, Temrikar Zaid H, Liu Jiuyu, Lee Richard E, Braunstein Miriam, Hickey Anthony J, Robertson Gregory T, Gonzalez-Juarrero Mercedes, Edginton Andrea, Meibohm Bernd
Department of Pharmaceutical Sciences, College of Pharmacy, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Department of Chemical Biology, St. Jude Children's Hospital, Memphis, TN 38105, USA.
Pharmaceutics. 2023 Jun 17;15(6):1759. doi: 10.3390/pharmaceutics15061759.
Spectinamides 1599 and 1810 are lead spectinamide compounds currently under preclinical development to treat multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis. These compounds have previously been tested at various combinations of dose level, dosing frequency, and route of administration in mouse models of () infection and in healthy animals. Physiologically based pharmacokinetic (PBPK) modeling allows the prediction of the pharmacokinetics of candidate drugs in organs/tissues of interest and extrapolation of their disposition across different species. Here, we have built, qualified, and refined a minimalistic PBPK model that can describe and predict the pharmacokinetics of spectinamides in various tissues, especially those relevant to infection. The model was expanded and qualified for multiple dose levels, dosing regimens, routes of administration, and various species. The model predictions in mice (healthy and infected) and rats were in reasonable agreement with experimental data, and all predicted AUCs in plasma and tissues met the two-fold acceptance criteria relative to observations. To further explore the distribution of spectinamide 1599 within granuloma substructures as encountered in tuberculosis, we utilized the Simcyp granuloma model combined with model predictions in our PBPK model. Simulation results suggest substantial exposure in all lesion substructures, with particularly high exposure in the rim area and macrophages. The developed model may be leveraged as an effective tool in identifying optimal dose levels and dosing regimens of spectinamides for further preclinical and clinical development.
氨甲环酸酰胺1599和1810是目前正处于临床前开发阶段的先导氨甲环酸酰胺化合物,用于治疗耐多药(MDR)和广泛耐药(XDR)结核病。这些化合物此前已在()感染小鼠模型和健康动物中,以不同的剂量水平、给药频率和给药途径组合进行了测试。基于生理的药代动力学(PBPK)建模能够预测候选药物在感兴趣的器官/组织中的药代动力学,并推断其在不同物种中的处置情况。在此,我们构建、验证并完善了一个简约的PBPK模型,该模型可以描述和预测氨甲环酸酰胺在各种组织中的药代动力学,尤其是与()感染相关的组织。该模型针对多个剂量水平、给药方案、给药途径和不同物种进行了扩展和验证。在小鼠(健康和感染)和大鼠中的模型预测与实验数据合理吻合,血浆和组织中的所有预测AUC相对于观察值均符合两倍的接受标准。为了进一步探究氨甲环酸酰胺1599在结核病肉芽肿亚结构中的分布情况,我们在PBPK模型中利用了Simcyp肉芽肿模型并结合模型预测。模拟结果表明,在所有病变亚结构中均有大量暴露,在边缘区域和巨噬细胞中的暴露尤其高。所开发的模型可作为一种有效工具,用于确定氨甲环酸酰胺的最佳剂量水平和给药方案,以进行进一步的临床前和临床开发。