Pharmacokinetic and Pharmacodynamic Drug–Drug Interactions: Research Methods and Applications

Because of the high research and development cost of new drugs, the long development process of new drugs, and the high failure rate at later stages, combining past drugs has gradually become a more economical and attractive alternative. However, the ensuing problem of drug–drug interactions (DDIs)...

Full description

Saved in:
Bibliographic Details
Published in:Metabolites 2023-07, Vol.13 (8), p.897
Main Authors: Sun, Lei, Mi, Kun, Hou, Yixuan, Hui, Tianyi, Zhang, Lan, Tao, Yanfei, Liu, Zhenli, Huang, Lingli
Format: Article
Language:English
Subjects:
Analysis
Clinical significance
cocktail
Complications and side effects
Cytochrome
drug combination
Drug development
Drug dosages
Drug interaction
Drug interactions
Drug therapy, Combination
drug–drug interaction (DDI)
Enzymes
Liver
Machine learning
mathematical model
Metabolism
Patient outcomes
pharmacodynamic interaction
Pharmacodynamics
pharmacokinetic interaction
Pharmacokinetics
Prescription drugs
Research methodology
Review
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Because of the high research and development cost of new drugs, the long development process of new drugs, and the high failure rate at later stages, combining past drugs has gradually become a more economical and attractive alternative. However, the ensuing problem of drug–drug interactions (DDIs) urgently need to be solved, and combination has attracted a lot of attention from pharmaceutical researchers. At present, DDI is often evaluated and investigated from two perspectives: pharmacodynamics and pharmacokinetics. However, in some special cases, DDI cannot be accurately evaluated from a single perspective. Therefore, this review describes and compares the current DDI evaluation methods based on two aspects: pharmacokinetic interaction and pharmacodynamic interaction. The methods summarized in this paper mainly include probe drug cocktail methods, liver microsome and hepatocyte models, static models, physiologically based pharmacokinetic models, machine learning models, in vivo comparative efficacy studies, and in vitro static and dynamic tests. This review aims to serve as a useful guide for interested researchers to promote more scientific accuracy and clinical practical use of DDI studies.
ISSN:2218-1989
2218-1989
DOI:10.3390/metabo13080897