• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

采用梯级方法,利用 PBPK 模型和临床数据评估沃诺拉赞的 CYP3A 受者和施者药物相互作用的潜在风险,并为标签提供信息。

Tiered approach to evaluate the CYP3A victim and perpetrator drug-drug interaction potential for vonoprazan using PBPK modeling and clinical data to inform labeling.

机构信息

Phathom Pharmaceuticals, Inc., Buffalo Grove, Illinois, USA.

Takeda Pharmaceuticals, Cambridge, Massachusetts, USA.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2023 Apr;12(4):532-544. doi: 10.1002/psp4.12939. Epub 2023 Mar 10.

DOI:10.1002/psp4.12939
PMID:36896795
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10088082/
Abstract

Vonoprazan is metabolized extensively through CYP3A and is an in vitro time-dependent inhibitor of CYP3A. A tiered approach was applied to understand the CYP3A victim and perpetrator drug-drug interaction (DDI) potential for vonoprazan. Mechanistic static modeling suggested vonoprazan is a potential clinically relevant CYP3A inhibitor. Thus, a clinical study was conducted to evaluate the impact of vonoprazan on the exposure of oral midazolam, an index substrate for CYP3A. A physiologically-based pharmacokinetic (PBPK) model for vonoprazan was also developed using in vitro data, drug- and system-specific parameters, and clinical data and observations from a [ C] human absorption, distribution, metabolism, and excretion study. The PBPK model was refined and verified using data from a clinical DDI study with the strong CYP3A inhibitor, clarithromycin, to confirm the fraction metabolized by CYP3A, and the oral midazolam clinical DDI data assessing vonoprazan as a time-dependent inhibitor of CYP3A. The verified PBPK model was applied to simulate the anticipated changes in vonoprazan exposure due to moderate and strong CYP3A inducers (efavirenz and rifampin, respectively). The clinical midazolam DDI study indicated weak inhibition of CYP3A, with a less than twofold increase in midazolam exposure. PBPK simulations projected a 50% to 80% reduction in vonoprazan exposure when administered concomitantly with moderate or strong CYP3A inducers. Based on these results, the vonoprazan label was revised and states that lower doses of sensitive CYP3A substrates with a narrow therapeutic index should be used when administered concomitantly with vonoprazan, and co-administration with moderate and strong CYP3A inducers should be avoided.

摘要

伏诺拉生主要通过 CYP3A 代谢,是一种体外时间依赖性的 CYP3A 抑制剂。采用分层方法来了解伏诺拉生作为 CYP3A 被代谢药物和引发药物-药物相互作用(DDI)的潜力。机制静态模型表明伏诺拉生可能是一种具有临床相关性的 CYP3A 抑制剂。因此,进行了一项临床研究,以评估伏诺拉生对口服咪达唑仑(CYP3A 的指标底物)暴露的影响。还使用体外数据、药物和系统特异性参数以及来自[C]人吸收、分布、代谢和排泄研究的临床数据和观察结果,开发了伏诺拉生的基于生理学的药代动力学(PBPK)模型。使用与强 CYP3A 抑制剂克拉霉素的临床 DDI 研究数据,对 PBPK 模型进行了细化和验证,以确认 CYP3A 代谢的分数,以及评估伏诺拉生作为 CYP3A 时间依赖性抑制剂的口服咪达唑仑临床 DDI 数据。验证后的 PBPK 模型用于模拟由于中度和强 CYP3A 诱导剂(分别为依非韦伦和利福平)而导致的伏诺拉生暴露的预期变化。咪达唑仑临床 DDI 研究表明对 CYP3A 的抑制作用较弱,咪达唑仑暴露增加不到两倍。PBPK 模拟预测,当与中度或强 CYP3A 诱导剂同时给药时,伏诺拉生的暴露量将减少 50%至 80%。基于这些结果,修订了伏诺拉生的标签,并指出当与伏诺拉生同时给药时,具有较窄治疗指数的敏感 CYP3A 底物应使用较低剂量,并且应避免与中度和强 CYP3A 诱导剂同时给药。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9e5/10088082/ea4324f8b89f/PSP4-12-532-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9e5/10088082/7bb4d2b9ccce/PSP4-12-532-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9e5/10088082/6b1035a56583/PSP4-12-532-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9e5/10088082/ea4324f8b89f/PSP4-12-532-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9e5/10088082/7bb4d2b9ccce/PSP4-12-532-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9e5/10088082/6b1035a56583/PSP4-12-532-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a9e5/10088082/ea4324f8b89f/PSP4-12-532-g001.jpg

相似文献

1
Tiered approach to evaluate the CYP3A victim and perpetrator drug-drug interaction potential for vonoprazan using PBPK modeling and clinical data to inform labeling.采用梯级方法,利用 PBPK 模型和临床数据评估沃诺拉赞的 CYP3A 受者和施者药物相互作用的潜在风险,并为标签提供信息。
CPT Pharmacometrics Syst Pharmacol. 2023 Apr;12(4):532-544. doi: 10.1002/psp4.12939. Epub 2023 Mar 10.
2
Drug-Drug Interaction Risk Assessment of Esaxerenone as a Perpetrator by In Vitro Studies and Static and Physiologically Based Pharmacokinetic Models.依体外研究与静态及生理为基础之药动学模型评估 esaxerenone 作为药物交互作用之肇因者的风险。
Drug Metab Dispos. 2020 Sep;48(9):769-777. doi: 10.1124/dmd.120.090928. Epub 2020 Jul 2.
3
Physiologically based pharmacokinetic modeling to assess metabolic drug-drug interaction risks and inform the drug label for fedratinib.基于生理的药代动力学建模,用于评估代谢性药物相互作用风险并为fedratinib的药品说明书提供依据。
Cancer Chemother Pharmacol. 2020 Oct;86(4):461-473. doi: 10.1007/s00280-020-04131-y. Epub 2020 Sep 4.
4
Comprehensive PBPK model to predict drug interaction potential of Zanubrutinib as a victim or perpetrator.全面的 PBPK 模型预测 Zanubrutinib 作为受动剂或活性剂的药物相互作用潜力。
CPT Pharmacometrics Syst Pharmacol. 2021 May;10(5):441-454. doi: 10.1002/psp4.12605. Epub 2021 May 2.
5
Drug Interactions for Low-Dose Inhaled Nemiralisib: A Case Study Integrating Modeling, In Vitro, and Clinical Investigations.低剂量尼拉利昔布的药物相互作用:整合建模、体外和临床研究的案例研究。
Drug Metab Dispos. 2020 Apr;48(4):307-316. doi: 10.1124/dmd.119.089003. Epub 2020 Feb 2.
6
Physiologically based pharmacokinetic modeling and simulation to predict drug-drug interactions of ivosidenib with CYP3A perpetrators in patients with acute myeloid leukemia.基于生理学的药代动力学模型和模拟预测ivosidenib 与急性髓系白血病患者中 CYP3A 诱导剂的药物相互作用。
Cancer Chemother Pharmacol. 2020 Nov;86(5):619-632. doi: 10.1007/s00280-020-04148-3. Epub 2020 Sep 25.
7
Human Pharmacokinetic and CYP3A Drug-Drug Interaction Prediction of GDC-2394 Using Physiologically Based Pharmacokinetic Modeling and Biomarker Assessment.基于生理的药代动力学模型和生物标志物评估预测 GDC-2394 的人体药代动力学和 CYP3A 药物相互作用。
Drug Metab Dispos. 2024 Jul 16;52(8):765-774. doi: 10.1124/dmd.123.001633.
8
Critical Impact of Drug-Drug Interactions via Intestinal CYP3A in the Risk Assessment of Weak Perpetrators Using Physiologically Based Pharmacokinetic Models.基于生理的药代动力学模型评估弱作用药物相互作用的风险:肠道 CYP3A 介导的药物相互作用的关键影响
Drug Metab Dispos. 2020 Apr;48(4):288-296. doi: 10.1124/dmd.119.089599. Epub 2020 Jan 29.
9
Physiologically Based Pharmacokinetic Modeling for Maribavir to Inform Dosing in Drug-Drug Interaction Scenarios with CYP3A4 Inducers and Inhibitors.基于生理的马拉维若药代动力学模型用于指导与 CYP3A4 诱导剂和抑制剂的药物相互作用情况下的剂量调整。
J Clin Pharmacol. 2024 May;64(5):590-600. doi: 10.1002/jcph.2385. Epub 2023 Dec 14.
10
Evaluation of Cytochrome P450 3A4-Mediated Drug-Drug Interaction Potential for Cobimetinib Using Physiologically Based Pharmacokinetic Modeling and Simulation.使用基于生理的药代动力学建模与模拟评估考比替尼的细胞色素P450 3A4介导的药物相互作用潜力。
Clin Pharmacokinet. 2016 Nov;55(11):1435-1445. doi: 10.1007/s40262-016-0412-5.

引用本文的文献

1
Clinical pharmacokinetics of potassium competitive acid blockers: a systematic review and meta-analysis.钾离子竞争性酸阻滞剂的临床药代动力学:系统评价与荟萃分析。
Front Pharmacol. 2025 Jul 8;16:1580969. doi: 10.3389/fphar.2025.1580969. eCollection 2025.
2
Comparative Efficacy of Potassium-Competitive Acid Blocker-Based Triple Therapy with Tegoprazan versus Vonoprazan for Eradication: A Randomized, Double-Blind, Active-Controlled Pilot Study.基于钾竞争性酸阻滞剂的替戈拉赞与沃克帕唑三联疗法根除幽门螺杆菌的疗效比较:一项随机、双盲、活性对照的前瞻性研究
Gut Liver. 2025 Sep 15;19(5):696-705. doi: 10.5009/gnl250067. Epub 2025 Jun 4.
3

本文引用的文献

1
Alternatives to rifampicin: A review and perspectives on the choice of strong CYP3A inducers for clinical drug-drug interaction studies.利福平替代品:对临床药物相互作用研究中选择强 CYP3A 诱导剂的回顾与展望。
Clin Transl Sci. 2022 Sep;15(9):2075-2095. doi: 10.1111/cts.13357. Epub 2022 Jul 25.
2
Rifampin Drug-Drug-Interaction Studies: Reflections on the Nitrosamine Impurities Issue.利福平药物相互作用研究:关于亚硝胺杂质问题的思考。
Clin Pharmacol Ther. 2023 Apr;113(4):816-821. doi: 10.1002/cpt.2652. Epub 2022 Jun 22.
3
Prediction of CYP-mediated DDIs involving inhibition: Approaches to address the requirements for system qualification of the Simcyp Simulator.
Building Confidence in Physiologically Based Pharmacokinetic Modeling of CYP3A Induction Mediated by Rifampin: An Industry Perspective.
建立对利福平介导的CYP3A诱导的基于生理学的药代动力学模型的信心:行业视角。
Clin Pharmacol Ther. 2025 Feb;117(2):403-420. doi: 10.1002/cpt.3477. Epub 2024 Oct 18.
4
Potassium-competitive Acid Blockers: Current Clinical Use and Future Developments.钾离子竞争型酸阻断剂:当前临床应用与未来发展。
Curr Gastroenterol Rep. 2024 Nov;26(11):273-293. doi: 10.1007/s11894-024-00939-3. Epub 2024 Aug 15.
5
Pharmacokinetics-Pharmacodynamics Modeling for Evaluating Drug-Drug Interactions in Polypharmacy: Development and Challenges.多药治疗中药物-药物相互作用的药代动力学-药效学建模:开发与挑战。
Clin Pharmacokinet. 2024 Jul;63(7):919-944. doi: 10.1007/s40262-024-01391-2. Epub 2024 Jun 18.
涉及抑制的 CYP 介导的药物相互作用的预测:满足 Simcyp 模拟器系统鉴定要求的方法。
CPT Pharmacometrics Syst Pharmacol. 2022 Jul;11(7):822-832. doi: 10.1002/psp4.12794. Epub 2022 Apr 28.
4
Pharmacodynamics and Pharmacokinetics of the Potassium-Competitive Acid Blocker Vonoprazan and the Proton Pump Inhibitor Lansoprazole in US Subjects.美国受试者中钾竞争性酸阻滞剂 vonoprazan 和质子泵抑制剂兰索拉唑的药效学和药代动力学。
Am J Gastroenterol. 2022 Jul 1;117(7):1158-1161. doi: 10.14309/ajg.0000000000001735. Epub 2022 Mar 16.
5
Current Practices, Gap Analysis, and Proposed Workflows for PBPK Modeling of Cytochrome P450 Induction: An Industry Perspective.基于行业视角的细胞色素 P450 诱导的 PBPK 建模的当前实践、差距分析和拟议工作流程。
Clin Pharmacol Ther. 2022 Oct;112(4):770-781. doi: 10.1002/cpt.2503. Epub 2021 Dec 24.
6
Predictive In Vitro-In Vivo Extrapolation for Time Dependent Inhibition of CYP1A2, CYP2C8, CYP2C9, CYP2C19, and CYP2D6 Using Pooled Human Hepatocytes, Human Liver Microsomes, and a Simple Mechanistic Static Model.基于人源肝细胞、人肝微粒体和简单的机制静态模型预测时间依赖性 CYP1A2、CYP2C8、CYP2C9、CYP2C19 和 CYP2D6 抑制的体外-体内外推。
Drug Metab Dispos. 2022 Feb;50(2):114-127. doi: 10.1124/dmd.121.000718. Epub 2021 Nov 17.
7
Unraveling pleiotropic effects of rifampicin by using physiologically based pharmacokinetic modeling: Assessing the induction magnitude of P-glycoprotein-cytochrome P450 3A4 dual substrates.运用基于生理学的药代动力学模型揭示利福平的多效性:评估 P-糖蛋白-细胞色素 P450 3A4 双重底物的诱导幅度。
CPT Pharmacometrics Syst Pharmacol. 2021 Dec;10(12):1485-1496. doi: 10.1002/psp4.12717. Epub 2021 Nov 2.
8
The Effect of Food on the Pharmacokinetics of the Potassium-Competitive Acid Blocker Vonoprazan.食物对钾离子竞争性酸阻滞剂沃诺拉赞药代动力学的影响。
Clin Pharmacol Drug Dev. 2022 Feb;11(2):278-284. doi: 10.1002/cpdd.1009. Epub 2021 Aug 24.
9
Static and Dynamic Projections of Drug-Drug Interactions Caused by Cytochrome P450 3A Time-Dependent Inhibitors Measured in Human Liver Microsomes and Hepatocytes.在人肝微粒体和肝细胞中测量的细胞色素 P450 3A 时间依赖性抑制剂引起的药物-药物相互作用的静态和动态预测。
Drug Metab Dispos. 2021 Oct;49(10):947-960. doi: 10.1124/dmd.121.000497. Epub 2021 Jul 29.
10
PBPK modeling to predict drug-drug interactions of ivosidenib as a perpetrator in cancer patients and qualification of the Simcyp platform for CYP3A4 induction.采用生理药代动力学(PBPK)模型预测癌症患者中作为肇事药物的艾伏尼布的药物相互作用以及对Simcyp平台进行CYP3A4诱导的鉴定。
CPT Pharmacometrics Syst Pharmacol. 2021 Jun;10(6):577-588. doi: 10.1002/psp4.12619. Epub 2021 May 1.