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基于生理的药代动力学建模,以预测索替司他作为CYP诱导和抑制的受影响药物以及作为CYP和P-糖蛋白抑制的引发药物时的药物相互作用。

Physiologically Based Pharmacokinetic Modeling to Predict Drug-Drug Interactions of Soticlestat as a Victim of CYP Induction and Inhibition, and as a Perpetrator of CYP and P-Glycoprotein Inhibition.

作者信息

Jia Hongxia, Ballard T Eric, Zhang Liming, Cohen Lawrence, Bergagnini-Kolev Mackenzie C, Templeton Ian E, Jones Hannah M, Yin Wei

机构信息

Takeda Pharmaceutical Company Limited, Cambridge, MA, USA.

Simcyp Division, Certara UK Ltd, Sheffield, UK.

出版信息

Clin Pharmacol Drug Dev. 2025 May;14(5):368-381. doi: 10.1002/cpdd.1526. Epub 2025 Mar 27.

Abstract

Soticlestat (TAK-935) is a cholesterol 24-hydroxylase inhibitor. A physiologically-based pharmacokinetic model has been developed to predict potential soticlestat drug-drug interactions (DDIs) using the Simcyp v20 Population-based Simulator and verified with data from single-/multiple-rising-dose and clinical DDI studies. Simulated area under the plasma concentration-time curve from 0 to infinity (AUC) and maximal drug concentration (C) based on the model were generally within 2-fold of observed values for all soticlestat doses. Model-simulated versus observed AUC and C geometric mean ratios (GMRs) for soticlestat with/without itraconazole (potent cytochrome P450 [CYP] 3A inhibitor), and mefenamic acid (potent UDP glucuronosyltransferase [UGT] 1A9 inhibitor) were ≤1.10-fold. As soticlestat is primarily metabolized by UGT enzymes and Simulator v20 incorporates rifampin's induction of CYP3A only, the model underpredicted soticlestat's DDI with rifampin. However, with user-defined rifampin UGT induction, the predicted AUC GMR was within 1.5-fold of the observed value, meeting the 2-fold acceptance criteria. Hence, the model was appropriate for evaluating DDIs with CYP3A inhibitors and inducers not evaluated in clinical DDI studies; all predicted DDIs were low/not clinically relevant (<50% impact on exposure). Furthermore, no clinically significant DDIs were predicted following coadministration of soticlestat with sensitive CYP2C8, CYP2C9, CYP2C19, CYP3A4, and P-glycoprotein substrates.

摘要

索替司他(TAK-935)是一种胆固醇24-羟化酶抑制剂。已开发出一种基于生理学的药代动力学模型,使用Simcyp v20群体模拟器预测索替司他潜在的药物-药物相互作用(DDIs),并通过单剂量/多剂量递增和临床DDI研究的数据进行验证。基于该模型模拟的0至无穷大血浆浓度-时间曲线下面积(AUC)和最大药物浓度(C),对于所有索替司他剂量,通常在观察值的2倍以内。索替司他与伊曲康唑(强效细胞色素P450 [CYP] 3A抑制剂)和甲芬那酸(强效尿苷二磷酸葡萄糖醛酸基转移酶 [UGT] 1A9抑制剂)联合使用时,模型模拟的与观察到的AUC和C几何平均比值(GMRs)≤1.10倍。由于索替司他主要由UGT酶代谢,且模拟器v20仅纳入了利福平对CYP3A的诱导作用,该模型低估了索替司他与利福平的DDI。然而,通过用户定义的利福平UGT诱导作用,预测的AUC GMR在观察值的1.5倍以内,符合2倍的可接受标准。因此,该模型适用于评估与临床DDI研究中未评估的CYP3A抑制剂和诱导剂的DDIs;所有预测的DDIs均较低/无临床相关性(对暴露的影响<50%)。此外,索替司他与敏感的CYP2C8、CYP2C9、CYP2C19、CYP3A4和P-糖蛋白底物联合给药后,未预测到具有临床意义的DDIs。

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