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使用基于生理的药代动力学模型评估 JP-1366 与塞来昔布之间的药物相互作用潜力。

Evaluation of drug-drug interaction potentials between JP-1366 and celecoxib using physiologically based pharmacokinetic modeling.

作者信息

Choi Seung Chan, Kim John, Lim Hyeong-Seok

机构信息

Department of Clinical Pharmacology and Therapeutics, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea.

Onconic Therapeutics, Ltd., Seoul 06236, Korea.

出版信息

Transl Clin Pharmacol. 2025 Jun;33(2):90-99. doi: 10.12793/tcp.2025.33.e10. Epub 2025 Jun 27.

Abstract

Zastaprazan (JP-1366) is a new potassium-competitive acid blocker being developed for treating gastrointestinal reflux disease. It is an orally administered small molecule that inhibits gastric H+ and K+-ATPases differently from proton pump inhibitors, which act quickly and have dose-dependent effects on acid secretion. Celecoxib, a selective cyclooxygenase 2 inhibitor, will likely be used with zastaprazan in clinical settings and trials. The objective of current physiologically based pharmacokinetic (PBPK) modeling study is to predict drug-drug interaction (DDI) risk between zastaprazan (perpetrator) and celecoxib (victim). A human PBPK model for zastaprazan was built using experimental physicochemical properties and predictions. The model was optimized with clinical pharmacokinetic (PK) data from a phase 1 study (Protocol No. JP-1366-105). The PBPK model for celecoxib was constructed using the data from previous studies and predictions. The final PBPK model encompassing zastaprazan and celecoxib was used to quantitatively predicted DDI risks in humans. The final PBPK models accurately predicted zastaprazan's PK profiles after single dose in human, and it also well predicted plasma celecoxib concentrations over time. At doses of 20 mg of zastaprazan citrate (JAQBO tablet) and 200 mg of celecoxib, multiple oral doses of zastaprazan every 24 hours for 7 days did not increase celecoxib's area under the curve (AUC) and maximum plasma concentration (C), with ratios of 1 in both AUC and C, indicating no effect of zastaprazan on celecoxib's PK. The PBPK modeling approach provides scientific predictions of DDIs between zastaprazan and celecoxib, guiding future clinical development.

摘要

扎斯塔普拉赞(JP - 1366)是一种正在研发用于治疗胃食管反流病的新型钾竞争性酸阻滞剂。它是一种口服小分子药物,与质子泵抑制剂不同,能抑制胃H⁺和K⁺ - ATP酶,起效迅速且对胃酸分泌有剂量依赖性作用。塞来昔布是一种选择性环氧化酶2抑制剂,可能会在临床环境和试验中与扎斯塔普拉赞联合使用。当前基于生理药代动力学(PBPK)建模研究的目的是预测扎斯塔普拉赞(作用药)和塞来昔布(受影响药)之间的药物 - 药物相互作用(DDI)风险。利用实验性物理化学性质和预测构建了扎斯塔普拉赞的人体PBPK模型。该模型用1期研究(方案编号JP - 1366 - 105)的临床药代动力学(PK)数据进行了优化。塞来昔布的PBPK模型是根据先前研究的数据和预测构建的。包含扎斯塔普拉赞和塞来昔布的最终PBPK模型用于定量预测人体中的DDI风险。最终的PBPK模型准确预测了扎斯塔普拉赞单次给药后在人体中的PK概况,并且也很好地预测了塞来昔布随时间的血浆浓度。在给予20毫克柠檬酸扎斯塔普拉赞(JAQBO片剂)和200毫克塞来昔布的剂量下,每24小时多次口服扎斯塔普拉赞,持续7天,并未增加塞来昔布的曲线下面积(AUC)和最大血浆浓度(C),AUC和C的比值均为1,表明扎斯塔普拉赞对塞来昔布的PK没有影响。PBPK建模方法为扎斯塔普拉赞和塞来昔布之间的DDIs提供了科学预测,指导未来的临床开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c055/12242391/eb20e06699ca/tcp-33-90-g001.jpg

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