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Comprehensive PBPK model to predict drug interaction potential of Zanubrutinib as a victim or perpetrator

机译:全面的PBPK模型以预测Zanubrutinib作为受害者或犯罪者的药物相互作用潜力

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摘要

A physiologically based pharmacokinetic (PBPK) model was developed to evaluate and predict (1) the effect of concomitant cytochrome P450 3A (CYP3A) inhibitors or inducers on the exposures of zanubrutinib, (2) the effect of zanubrutinib on the exposures of CYP3A4, CYP2C8, and CYP2B6 substrates, and (3) the impact of gastric pH changes on the pharmacokinetics of zanubrutinib. The model was developed based on physicochemical and in vitro parameters, as well as clinical data, including pharmacokinetic data in patients with B‐cell malignancies and in healthy volunteers from two clinical drug‐drug interaction (DDI) studies of zanubrutinib as a victim of CYP modulators (itraconazole, rifampicin) or a perpetrator (midazolam). This PBPK model was successfully validated to describe the observed plasma concentrations and clinical DDIs of zanubrutinib. Model predictions were generally within 1.5‐fold of the observed clinical data. The PBPK model was used to predict untested clinical scenarios; these simulations indicated that strong, moderate, and mild CYP3A inhibitors may increase zanubrutinib exposures by approximately four‐fold, two‐ to three‐fold, and <1.5‐fold, respectively. Strong and moderate CYP3A inducers may decrease zanubrutinib exposures by two‐ to three‐fold or greater. The PBPK simulations showed that clinically relevant concentrations of zanubrutinib, as a DDI perpetrator, would have no or limited impact on the enzyme activity of CYP2B6 and CYP2C8. Simulations indicated that zanubrutinib exposures are not impacted by acid‐reducing agents. Development of a PBPK model for zanubrutinib as a DDI victim and perpetrator in parallel can increase confidence in PBPK models supporting zanubrutinib label dose recommendations.
机译:开发了一种生理基础的药代动力学(PBPK)模型来评估和预测(1)伴称细胞色素P450 3A(CYP3A)抑制剂或诱导剂对Zanubrutinib曝光的影响,(2)Zanubrutinib对CYP3A4,CYP2C8曝光的影响,和CYP2B6底物,和(3)胃窦改变对Zanubrutinib的药代动力学的影响。该模型是基于物理化学和体外参数,以及临床资料,包括B细胞恶性肿瘤患者的药代动力学数据,以及来自Zanubrutinib的两种临床药物 - 药物相互作用(DDI)研究作为CYP的受害者调节剂(Itraconazole,利福平)或犯罪者(Midazolam)。该PBPK模型已成功验证以描述观察到的血浆浓度和Zanubrutinib的临床DDI。模型预测通常在观察到的临床数据的1.5倍范围内。 PBPK模型用于预测未经测试的临床情景;这些模拟表明,强,中等和轻度CYP3A抑制剂可以分别将Zanubrutinib暴露的曝光量增加大约四倍,两到三倍和<1.5倍。强和中度CYP3A诱导剂可能将Zanubrutinib暴露的曝光率减少2-3倍或更高。 PBPK模拟表明,临床相关浓度的Zanubrutinib作为DDI训练器对CYP2B6和CYP2C8的酶活性没有或有限地影响。模拟表明,Zanubrutinib暴露不会受酸还原剂的影响。发展为Zanubrutinib的PBPK模型作为DDI受害者和肇事者并行地可以增加支持Zanubrutinib标签剂量建议的PBPK模型的信心。

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