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采用基于生理的药代动力学建模方法评估布加替尼的药物相互作用潜力。

Evaluation of the drug-drug interaction potential of brigatinib using a physiologically-based pharmacokinetic modeling approach.

机构信息

Clinical Pharmacology, Takeda Development Center Americas, Inc., Lexington, Massachusetts, USA.

Simcyp Division, Certara UK Limited, Sheffield, South Yorkshire, UK.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2024 Apr;13(4):624-637. doi: 10.1002/psp4.13106. Epub 2024 Jan 30.

Abstract

Brigatinib is an oral anaplastic lymphoma kinase (ALK) inhibitor approved for the treatment of ALK-positive metastatic non-small cell lung cancer. In vitro studies indicated that brigatinib is primarily metabolized by CYP2C8 and CYP3A4 and inhibits P-gp, BCRP, OCT1, MATE1, and MATE2K. Clinical drug-drug interaction (DDI) studies with the strong CYP3A inhibitor itraconazole or the strong CYP3A inducer rifampin demonstrated that CYP3A-mediated metabolism was the primary contributor to overall brigatinib clearance in humans. A physiologically-based pharmacokinetic (PBPK) model for brigatinib was developed to predict potential DDIs, including the effect of moderate CYP3A inhibitors or inducers on brigatinib pharmacokinetics (PK) and the effect of brigatinib on the PK of transporter substrates. The developed model was able to predict clinical DDIs with itraconazole (area under the plasma concentration-time curve from time 0 to infinity [AUC] ratio [with/without itraconazole]: predicted 1.86; observed 2.01) and rifampin (AUC ratio [with/without rifampin]: predicted 0.16; observed 0.20). Simulations using the developed model predicted that moderate CYP3A inhibitors (e.g., verapamil and diltiazem) may increase brigatinib AUC by ~40%, whereas moderate CYP3A inducers (e.g., efavirenz) may decrease brigatinib AUC by ~50%. Simulations of potential transporter-mediated DDIs predicted that brigatinib may increase systemic exposures (AUC) of P-gp substrates (e.g., digoxin and dabigatran) by 15%-43% and MATE1 substrates (e.g., metformin) by up to 29%; however, negligible effects were predicted on BCRP-mediated efflux and OCT1-mediated uptake. The PBPK analysis results informed dosing recommendations for patients receiving moderate CYP3A inhibitors (40% brigatinib dose reduction) or inducers (up to 100% increase in brigatinib dose) during treatment, as reflected in the brigatinib prescribing information.

摘要

布加替尼是一种口服间变性淋巴瘤激酶(ALK)抑制剂,适用于治疗 ALK 阳性转移性非小细胞肺癌。体外研究表明,布加替尼主要通过 CYP2C8 和 CYP3A4 代谢,并抑制 P-糖蛋白、BCRP、OCT1、MATE1 和 MATE2K。与强 CYP3A 抑制剂酮康唑或强 CYP3A 诱导剂利福平的临床药物相互作用(DDI)研究表明,CYP3A 介导的代谢是布加替尼在人体内总清除率的主要贡献者。建立了布加替尼的基于生理学的药代动力学(PBPK)模型,以预测潜在的药物相互作用,包括中等 CYP3A 抑制剂或诱导剂对布加替尼药代动力学(PK)的影响,以及布加替尼对转运体底物 PK 的影响。该模型能够预测酮康唑(0 至无穷时血浆浓度-时间曲线下面积比[酮康唑/无酮康唑]:预测 1.86;观察 2.01)和利福平(AUC 比[利福平/无利福平]:预测 0.16;观察 0.20)的临床 DDI。使用该模型进行的模拟预测,中等 CYP3A 抑制剂(如维拉帕米和地尔硫卓)可能会使布加替尼 AUC 增加约 40%,而中等 CYP3A 诱导剂(如依法韦仑)可能会使布加替尼 AUC 减少约 50%。潜在的转运体介导的药物相互作用模拟预测,布加替尼可能会使 P-糖蛋白底物(如地高辛和达比加群)的全身暴露(AUC)增加 15%-43%,MATE1 底物(如二甲双胍)增加高达 29%;然而,对 BCRP 介导的外排和 OCT1 介导的摄取几乎没有影响。这些 PBPK 分析结果为接受中等 CYP3A 抑制剂(布加替尼剂量减少 40%)或诱导剂(布加替尼剂量增加高达 100%)治疗的患者提供了剂量建议,这反映在布加替尼的处方信息中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61d2/11015081/8c97c93cd7ee/PSP4-13-624-g002.jpg

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