Application of Physiologically Based Pharmacokinetic Modeling of Novel Drugs Approved by the U.S. Food and Drug Administration.

FDA Model-informed drug development Modeling and simulation Novel drugs PBPK

Journal

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
ISSN: 1879-0720
Titre abrégé: Eur J Pharm Sci
Pays: Netherlands
ID NLM: 9317982

Informations de publication

Date de publication:
01 Jul 2024
Historique:
received: 30 10 2023
revised: 05 05 2024
accepted: 18 06 2024
medline: 4 7 2024
pubmed: 4 7 2024
entrez: 3 7 2024
Statut: aheadofprint

Résumé

Physiologically based pharmacokinetic (PBPK) models which can leverage preclinical data to predict the pharmacokinetic properties of drugs rapidly became an essential tool to improve the efficiency and quality of novel drug development. In this review, by searching the Application Review Files in Drugs@FDA, we analyzed the current application of PBPK models in novel drugs approved by the U.S. Food and Drug Administration (FDA) in the past five years. According to the results, 243 novel drugs were approved by the FDA from 2019 to 2023. During this period, 74 Application Review Files of novel drugs approved by the FDA that used PBPK models. PBPK models were used in various areas, including drug-drug interactions (DDI), organ impairment (OI) patients, pediatrics, drug-gene interaction (DGI), disease impact, and food effects. DDI was the most widely used area of PBPK models for novel drugs, accounting for 74.2% of the total. Software platforms with graphical user interfaces (GUI) have reduced the difficulty of PBPK modeling, and Simcyp was the most popular software platform among applicants, with a usage rate of 80.5%. Despite its challenges, PBPK has demonstrated its potential in novel drug development, and a growing number of successful cases provide experience learned for researchers in the industry.

Identifiants

pubmed: 38960205
pii: S0928-0987(24)00150-7
doi: 10.1016/j.ejps.2024.106838
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

106838

Informations de copyright

Copyright © 2024. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no conflicts of interest that are directly relevant to the content of this article.

Auteurs

Zexu Sun (Z)

Institute of Clinical Pharmacology, Peking University, Beijing 100191, China; Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410013, China; Department of Pharmacy, Peking University First Hospital, Beijing, 100034, China.

Nan Zhao (N)

Drug Clinical Trial institution, Peking University First Hospital, Beijing, 100009, China.

Xia Zhao (X)

Drug Clinical Trial institution, Peking University First Hospital, Beijing, 100009, China.

Ziyang Wang (Z)

Drug Clinical Trial institution, Peking University First Hospital, Beijing, 100009, China.

Zhaoqian Liu (Z)

Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410013, China; Department of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics, and National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China; Institute of Clinical Pharmacology, Engineering Research Center for applied Technology of Pharmacogenomics of Ministry of Education, Central South University, Changsha, 410078, China. Electronic address: zqliu@csu.edu.cn.

Yimin Cui (Y)

Institute of Clinical Pharmacology, Peking University, Beijing 100191, China; Department of Pharmacy, Peking University First Hospital, Beijing, 100034, China; Department of Pharmaceutical Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, 100191, China. Electronic address: cui.pharm@pkufh.com.

Classifications MeSH