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基于生理的药代动力学模型对监管审评和产品标签的影响:在肿瘤学领域的频繁应用。

Impact of physiologically based pharmacokinetic models on regulatory reviews and product labels: Frequent utilization in the field of oncology.

作者信息

Yoshida K, Budha N, Jin J Y

机构信息

Department of Clinical Pharmacology, Genentech Research and Early Development, South San Francisco, California, USA.

出版信息

Clin Pharmacol Ther. 2017 May;101(5):597-602. doi: 10.1002/cpt.622. Epub 2017 Mar 15.

Abstract

Physiologically based pharmacokinetic (PBPK) modeling can be used to predict drug pharmacokinetics in virtual populations using models that integrate understanding of physiological systems. PBPK models have been widely utilized for predicting pharmacokinetics in clinically untested scenarios during drug applications and regulatory reviews in recent years. Here, we provide a comprehensive review of the application of PBPK in new drug application (NDA) review documents from the US Food and Drug Administration (FDA) in the past 4 years.

摘要

基于生理的药代动力学(PBPK)建模可用于使用整合了对生理系统理解的模型来预测虚拟人群中的药物药代动力学。近年来,PBPK模型已广泛用于在药物应用和监管审查期间预测临床未测试场景中的药代动力学。在此,我们全面回顾了过去4年美国食品药品监督管理局(FDA)新药申请(NDA)审查文件中PBPK的应用情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/591b/5414891/26268fa78ac9/CPT-101-597-g001.jpg

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