Drug Metabolism and Pharmacokinetics, Takeda Pharmaceuticals International, Co., 35 Landsdowne Street, Cambridge, Massachusetts, USA.
Quantitative Clinical Pharmacology, Takeda Pharmaceuticals International, Co., 35 Landsdowne Street, Cambridge, Massachusetts, USA.
AAPS J. 2020 Apr 14;22(3):66. doi: 10.1208/s12248-020-00448-x.
Bortezomib is a potent 20S proteasome inhibitor approved for the treatment of multiple myeloma and mantle cell lymphoma. Despite the extensive clinical use of bortezomib, the mechanism of the complex time-dependent pharmacokinetics of bortezomib has not been fully investigated in context of its pharmacodynamics (PD) and drug-drug interaction (DDI) profiles. Here, we aimed to develop a mechanistic physiologically based (PB) PK/PD model to project PK, blood target inhibition and DDI of bortezomib in patients. A minimal PBPK/PD model consisting of six compartments was constructed using a bottom-up approach with pre-clinical data and human physiological parameters. Specifically, the target-mediated drug disposition (TMDD) of bortezomib in red blood cells (RBC), which determines target inhibition in blood, was characterized by incorporating the proteasome binding affinity of bortezomib and the proteasome concentration in RBC. The hepatic clearance and fraction metabolized by different CYP isoforms were estimated from in vitro metabolism and phenotyping experiments. The established model adequately characterized the multi-exponential and time-dependent plasma pharmacokinetics, target binding and blood proteasome inhibition of bortezomib. Further, the model was able to accurately predict the impact of a strong CYP3A inducer (rifampicin) and inhibitor (ketoconazole) on bortezomib exposure. In conclusion, the mechanistic PBPK/PD model successfully described the complex pharmacokinetics, target inhibition and DDIs of bortezomib in patients. This study illustrates the importance of incorporating target biology, drug-target interactions and in vitro clearance parameters into mechanistic PBPK/PD models and the utility of such models for pharmacokinetic, pharmacodynamic and DDI predictions.
硼替佐米是一种强效的 20S 蛋白酶体抑制剂,已被批准用于治疗多发性骨髓瘤和套细胞淋巴瘤。尽管硼替佐米广泛应用于临床,但在其药效学(PD)和药物相互作用(DDI)特征方面,其复杂的时变药代动力学的机制尚未得到充分研究。在此,我们旨在开发一种基于机制的生理药代动力学/药效学(PB)模型,以预测患者中硼替佐米的 PK、血液靶标抑制和 DDI。采用自下而上的方法,使用临床前数据和人体生理参数构建了一个包含六个隔室的最小 PB-PK/PD 模型。具体来说,通过纳入硼替佐米与红细胞(RBC)中蛋白酶体的结合亲和力以及 RBC 中蛋白酶体的浓度,对硼替佐米在 RBC 中的靶介导药物处置(TMDD)进行了特征描述,该处置决定了血液中的靶标抑制。通过体外代谢和表型实验估算了不同 CYP 同工酶的肝清除率和代谢分数。所建立的模型充分描述了硼替佐米的多指数和时变血浆药代动力学、靶标结合和血液蛋白酶体抑制作用。此外,该模型还能够准确预测强 CYP3A 诱导剂(利福平)和抑制剂(酮康唑)对硼替佐米暴露的影响。总之,该机制 PB-PK/PD 模型成功描述了患者中硼替佐米的复杂药代动力学、靶标抑制和 DDI。该研究说明了将靶标生物学、药物-靶标相互作用和体外清除参数纳入机制 PB-PK/PD 模型的重要性,以及此类模型在药代动力学、药效学和 DDI 预测方面的实用性。