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中国临床药理学与治疗学 ›› 2021, Vol. 26 ›› Issue (12): 1426-1429.doi: 10.12092/j.issn.1009-2501.2021.12.013

• 综述与讲座 • 上一篇    下一篇

基于口服吸收生理药动学模型的创新药早期临床食物影响研究探索

张苗,刘倩,么雪婷,刘东阳   

  1. 北京大学第三医院药物临床试验机构,北京 100191
  • 收稿日期:2021-10-18 修回日期:2021-11-24 出版日期:2021-12-26 发布日期:2022-01-07
  • 通讯作者: 刘东阳,通信作者,男,博士,副研究员,研究方向:临床药理学、定量药理学。 Tel: 010-82266456 E-mail: liudongyang@vip.sina.com
  • 作者简介:张苗,女,博士生,研究方向:临床药理学、定量药理学。 Tel: 010-82265509 E-mail: zz_mm_zz@163.com
  • 基金资助:
    十三五国家科技重大专项项目(2017ZX09101001-002-001);北京大学第三医院临床重点项目资助(BYSY2018063)

Exploration of early food effect study of innovative drugs based on physiologically-based pharmacokinetic absorption model

ZHANG Miao, LIU Qian, YAO Xueting, LIU Dongyang   

  1. Drug Clinical Trial Center, Peking University Third Hospital, Beijing 100191, China
  • Received:2021-10-18 Revised:2021-11-24 Online:2021-12-26 Published:2022-01-07

摘要: 食物对药物暴露的影响可能增加对创新药安全性和有效性评价失误的风险,因此通常创新药早期临床开发中应在多次给药剂量递增(MAD)试验前完成探索性食物影响研究。随着口服吸收生理药动学模型对食物影响预测能力的提升,本研究室提出基于口服吸收生理药动学模型的探索性食物影响的研究新路径,借助口服吸收生理药动学模型的准确预测,将符合条件的创新药探索性食物影响研究内容嵌套于MAD试验中,拟取代早期独立的食物影响研究,以降低药物开发成本和节约上市时间,并为我国早期食物影响临床研究提供参考。

关键词: 食物影响, 口服吸收生理药动学模型, 临床试验设计 

Abstract: Since the impact of food on innovative drugs exposure will increase the risk of evaluation failures for safety and effectiveness, food effect study is routinely completed before multiple ascending dose (MAD) trials for innovative drugs. The prediction performance of physiologically-based pharmacokinetic absorption model (absorption PBPK model) in the application of food effect prediction has improved, we proposed a new strategy to explore food effect based on the absorption PBPK model. Based on the accurate prediction by absorption PBPK model, the food effect studies for qualified innovative drugs would be nested in MAD clinical trials to intend replacing the early independent food effect study. That would be promising to reduce costs and time for drug development, and also to provide the template for early food effect study in China.

Key words: food effect, physiologically-based pharmacokinetic absorption model, clinical trial design

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