Advances in applications of physiologically-based pharmacokinetic models in drug-drug interactions among special populations
10.3867/j.issn.1000-3002.2024.11.008
- VernacularTitle:生理药动学模型在特殊人群药物相互作用研究中的应用进展
- Author:
Yongchun CHANG
1
;
Li SHENG
Author Information
1. 中国医学科学院&北京协和医学院药物研究所,北京 100050
- Keywords:
physiologically-based pharmacokinetic model;
drug-drug interactions;
special popula-tions;
gene polymorphisms;
first-pass effect
- From:
Chinese Journal of Pharmacology and Toxicology
2024;38(11):872-879
- CountryChina
- Language:Chinese
-
Abstract:
Special populations such as the elderly,pregnant women,children,and patients with impaired liver and kidney function have different physiological characteristics and drug processes from other patients.As a result during medication,these populations are vulnerable to drug-drug interactions in case of combined medications,which makes it more difficult of optimize drug treatment and develop new drugs.The physiologically based pharmacokinetic(PBPK)model can predict drug-drug interaction in special populations by altering metabolism-related physiological parameters such as metabolic enzymes,transporter activity and clearance.Gene polymorphisms,intestinal metabolism and other factors also affect the accuracy of model results.This review aims to to optimize clinical regimens for special populations and provide references for new drug development.
