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基于生理的药代动力学模型在临床药理学与治疗学中的应用:综述

Utilization of Physiologically Based Pharmacokinetic Modeling in Clinical Pharmacology and Therapeutics: an Overview.

作者信息

Perry Courtney, Davis Grace, Conner Todd M, Zhang Tao

机构信息

School of Pharmacy, Husson University, Bangor, ME 04401 USA.

出版信息

Curr Pharmacol Rep. 2020;6(3):71-84. doi: 10.1007/s40495-020-00212-x. Epub 2020 May 12.

Abstract

The purpose of this review was to assess the advancement of applications for physiologically based pharmacokinetic (PBPK) modeling in various therapeutic areas. We conducted a PubMed search, and 166 articles published between 2012 and 2018 on FDA-approved drug products were selected for further review. Qualifying publications were summarized according to therapeutic area, medication(s) studied, pharmacokinetic model type utilized, simulator program used, and the applications of that modeling. The results showed a 13-fold increase in the number of papers published from 2012 to 2018, with the largest proportion of articles dedicated to the areas of infectious diseases, oncology, and neurology, and application extensions including prediction of drug-drug interactions due to metabolism and/or transporter-mediated effects and understanding drug kinetics in special populations. In addition, we profiled several high-impact studies whose results were used to guide package insert information and formulate dose recommendations. These results show that while utilization of PBPK modeling has drastically increased over the past several years, regulatory support, lack of easy-to-use systems for clinicians, and challenges with model validation remain major challenges for the widespread adoption of this practice in institutional and ambulatory settings. However, PBPK modeling will continue to be a useful tool in the future to assess therapeutic drug monitoring and the growing field of personalized medicine.

摘要

本综述的目的是评估基于生理的药代动力学(PBPK)模型在各个治疗领域的应用进展。我们进行了PubMed搜索,并选取了2012年至2018年间发表的166篇关于FDA批准药品的文章进行进一步综述。符合条件的出版物根据治疗领域、所研究的药物、所使用的药代动力学模型类型、模拟器程序以及该模型的应用进行了总结。结果显示,2012年至2018年发表的论文数量增长了13倍,其中最大比例的文章致力于传染病、肿瘤学和神经学领域,应用扩展包括预测由于代谢和/或转运体介导的效应引起的药物相互作用以及了解特殊人群的药物动力学。此外,我们介绍了几项具有重大影响的研究,其结果被用于指导药品说明书信息并制定剂量建议。这些结果表明,虽然在过去几年中PBPK模型的应用大幅增加,但监管支持、缺乏便于临床医生使用的系统以及模型验证方面所面临的挑战仍然是该方法在机构和门诊环境中广泛应用的主要障碍。然而,PBPK模型在未来仍将是评估治疗药物监测和日益发展的个性化医学领域的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/585e/7214223/046059150b5a/40495_2020_212_Fig1_HTML.jpg

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