体外评估激酶抑制剂对 CYP2C9、3A 和 1A2 的抑制作用:预测与华法林和直接口服抗凝剂的药物相互作用风险。

IF 4.3 3区 医学 Q1 PHARMACOLOGY & PHARMACY European Journal of Pharmaceutical Sciences Pub Date : 2024-08-30 DOI:10.1016/j.ejps.2024.106884
Shasha Jin , Marie-Noëlle Paludetto , Mika Kurkela , Helinä Kahma , Mikko Neuvonen , Xiaoqiang Xiang , Weimin Cai , Janne T. Backman
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引用次数: 0

摘要

研究目的本研究旨在评估激酶抑制剂与华法林和直接口服抗凝药(DOACs)之间由细胞色素P450(CYP)介导的药物相互作用(DDI)潜力:方法:采用体外CYP探针底物鸡尾酒试验研究15种激酶抑制剂对CYP2C9、3A和1A2的抑制作用。然后,利用机理静态模型和基于生理学的药代动力学(PBPK)模型进行了DDI预测:结果:来西替尼、马西替尼、瑞戈非尼、托唑塞替、曲美替尼和伐他拉尼被确定为竞争性CYP2C9抑制剂(Ki分别为1.4、1.0、1.1、3.8、0.5和0.1 μM)。马西替尼和vatalanib是竞争性的CYP3A抑制剂(Ki = 1.3和0.2 μM),vatalanib是非竞争性的CYP1A2抑制剂(Ki = 2.0 μM)。此外,林西替尼和托伐替尼是 CYP3A 时间依赖性抑制剂(KI = 26.5 和 400.3 μM,kinact = 0.060 和 0.026 min-1)。只有林西替尼显示出对 CYP1A2 的时间依赖性抑制(KI = 13.9 μM,kinact = 0.018 min-1)。机理静态模型确定了林西替尼和伐他替尼与(S)-/(R)-华法林以及马西替尼与(S)-华法林可能存在的DDI风险。PBPK模拟进一步证实,vatalanib可能会使(S)-和(R)-华法林的暴露量分别增加4.37倍和1.80倍,而linsitinib可能会使(R)-华法林的暴露量增加3.10倍。根据机理静态模型预测,激酶抑制剂与阿哌沙班或利伐沙班之间发生 DDI 的风险较小。据预测,厄洛替尼与阿哌沙班和利伐沙班联用时的 AUC 升高幅度最大(1.50-1.74)。据预测,林西替尼、马西替尼和瓦塔拉尼对阿哌沙班和利伐沙班AUC的影响较小(AUCR为1.22-1.53)。预计没有激酶抑制剂会增加依多沙班的暴露量:我们的研究结果表明,包括瓦他拉尼和林西替尼在内的几种激酶抑制剂可导致CYP介导的与华法林的药物相互作用,其次是与阿哌沙班和利伐沙班的药物相互作用。这项研究从机理上揭示了激酶抑制剂与抗凝药之间的DDI风险,可用于避免临床中可预防的DDI。
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In vitro assessment of inhibitory effects of kinase inhibitors on CYP2C9, 3A and 1A2: Prediction of drug-drug interaction risk with warfarin and direct oral anticoagulants

Objective

This study aimed to evaluate the cytochrome P450 (CYP)-mediated drug-drug interaction (DDI) potential of kinase inhibitors with warfarin and direct oral anticoagulants (DOACs).

Methods

An in vitro CYP probe substrate cocktail assay was used to study the inhibitory effects of fifteen kinase inhibitors on CYP2C9, 3A, and 1A2. Then, DDI predictions were performed using both mechanistic static and physiologically-based pharmacokinetic (PBPK) models.

Results

Linsitinib, masitinib, regorafenib, tozasertib, trametinib, and vatalanib were identified as competitive CYP2C9 inhibitors (Ki = 1.4, 1.0, 1.1, 3.8, 0.5, and 0.1 μM, respectively). Masitinib and vatalanib were competitive CYP3A inhibitors (Ki = 1.3 and 0.2 μM), and vatalanib noncompetitively inhibited CYP1A2 (Ki = 2.0 μM). Moreover, linsitinib and tozasertib were CYP3A time-dependent inhibitors (KI = 26.5 and 400.3 μM, kinact = 0.060 and 0.026 min−1, respectively). Only linsitinib showed time-dependent inhibition of CYP1A2 (KI = 13.9 μM, kinact = 0.018 min−1). Mechanistic static models identified possible DDI risks for linsitinib and vatalanib with (S)-/(R)-warfarin, and for masitinib with (S)-warfarin. PBPK simulations further confirmed that vatalanib may increase (S)- and (R)-warfarin exposure by 4.37- and 1.80-fold, respectively, and that linsitinib may increase (R)-warfarin exposure by 3.10-fold. Mechanistic static models predicted a smaller risk of DDIs between kinase inhibitors and apixaban or rivaroxaban. The greatest AUC increases (1.50–1.74) were predicted for erlotinib in combination with apixaban and rivaroxaban. Linsitinib, masitinib, and vatalanib were predicted to have a smaller effect on apixaban and rivaroxaban AUCs (AUCR 1.22–1.53). No kinase inhibitor was predicted to increase edoxaban exposure.

Conclusions

Our results suggest that several kinase inhibitors, including vatalanib and linsitinib, can cause CYP-mediated drug-drug interactions with warfarin and, to a lesser extent, with apixaban and rivaroxaban. The work provides mechanistic insights into the risk of DDIs between kinase inhibitors and anticoagulants, which can be used to avoid preventable DDIs in the clinic.

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期刊介绍: The journal publishes research articles, review articles and scientific commentaries on all aspects of the pharmaceutical sciences with emphasis on conceptual novelty and scientific quality. The Editors welcome articles in this multidisciplinary field, with a focus on topics relevant for drug discovery and development. More specifically, the Journal publishes reports on medicinal chemistry, pharmacology, drug absorption and metabolism, pharmacokinetics and pharmacodynamics, pharmaceutical and biomedical analysis, drug delivery (including gene delivery), drug targeting, pharmaceutical technology, pharmaceutical biotechnology and clinical drug evaluation. The journal will typically not give priority to manuscripts focusing primarily on organic synthesis, natural products, adaptation of analytical approaches, or discussions pertaining to drug policy making. Scientific commentaries and review articles are generally by invitation only or by consent of the Editors. Proceedings of scientific meetings may be published as special issues or supplements to the Journal.
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