Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, NJ, 08854, USA.
Translational Development and Clinical Pharmacology, Celgene Corporation, NJ, 07920, USA.
Biopharm Drug Dispos. 2020 Apr;41(4-5):192-205. doi: 10.1002/bdd.2229. Epub 2020 May 16.
The aim of the study was to develop a physiologically-based pharmacokinetic (PBPK) model to describe and predict whole-body disposition of doxorubicin following intravenous administration. The PBPK model was established using previously published data in mice and included 10 tissue compartments: lungs, heart, brain, muscle, kidneys, pancreas, intestine, liver, spleen, adipose tissue, and plasma. Individual tissues were described by either perfusion-limited or permeability-limited models. All parameters were simultaneously estimated and the final model was able to describe murine data with good precision. The model was used for predicting doxorubicin disposition in rats, rabbits, dogs, and humans using interspecies scaling approaches and was qualified using plasma and tissue observed data. Reasonable prediction of the plasma pharmacokinetics and tissue distribution was achieved across all species. In conclusion, the PBPK model developed based on a rich dataset obtained from mice, was able to reasonably predict the disposition of doxorubicin in other preclinical species and humans. Applicability of the model for special populations, such as patients with hepatic impairment, was also demonstrated. The proposed model will be a valuable tool for optimization of exposure profiles of doxorubicin in human patients.
本研究旨在开发一种基于生理学的药代动力学(PBPK)模型,以描述和预测多柔比星静脉给药后的全身分布。该 PBPK 模型使用先前在小鼠中发表的数据建立,包括 10 个组织隔室:肺、心脏、大脑、肌肉、肾脏、胰腺、肠、肝脏、脾脏、脂肪组织和血浆。各组织分别采用灌注受限或渗透受限模型进行描述。所有参数均同时进行估计,最终模型能够很好地描述小鼠数据。该模型使用种间比例缩放方法预测了大鼠、兔、狗和人体内多柔比星的处置情况,并使用血浆和组织观察数据进行了验证。该模型在所有物种中均能合理预测多柔比星的药代动力学和组织分布。总之,该 PBPK 模型基于从小鼠中获得的丰富数据集进行开发,能够合理预测多柔比星在其他临床前物种和人体内的处置情况。还证明了该模型在特殊人群(如肝损伤患者)中的适用性。该模型将成为优化人类患者多柔比星暴露情况的有价值工具。