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Published on: July 16, 2020
Development of a Korean-specific virtual population for physiologically based pharmacokinetic modelling and
Yun Kim1, Oliver Hatley2, Su-Jin Rhee1
1Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, South Korea.
A new Korean virtual population was developed for physiologically based pharmacokinetic (PBPK) modeling. This tool accurately predicts drug concentrations in Koreans, aiding drug development by accounting for ethnic variations.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Computational Biology and Bioinformatics
- Translational Pharmacology
Background:
- Physiologically based pharmacokinetic (PBPK) modeling and simulation are crucial for predicting drug behavior.
- Understanding the impact of covariates like ethnicity on drug pharmacokinetics (PK) is essential for safe and effective drug development.
- Existing PBPK models may require population-specific adaptations to accurately reflect diverse ethnic groups.
Purpose of the Study:
- To develop and validate a Korean-specific virtual population for the SimCYP® Simulator.
- To assess the predictive performance of this population for key drug-metabolizing enzymes and transporters.
- To evaluate the impact of ethnicity on drug PK profiles in a drug development context.
Main Methods:
- Development of a Korean-specific virtual population incorporating 43 parameters, including DME and transporter phenotypes.
- Evaluation using six substrate drugs (midazolam, S-warfarin, metoprolol, omeprazole, lorazepam, rosuvastatin) of five major DMEs and two transporters.
- Comparison of simulated concentration-time profiles with observed data, assessing clearance differences.
Main Results:
- Simulated concentration-time profiles for the selected drugs in the Korean population closely matched observed data, with clearance generally within a 2-fold difference.
- The developed Korean virtual population demonstrates good predictive performance for drug PK.
- Identified areas for improvement in existing SimCYP® drug models, such as incorporating specific genetic variants (ABCG2, UGT2B15).
Conclusions:
- The Korean-specific virtual population in SimCYP® is a valuable tool for predicting drug PK and assessing ethnic influences.
- This population can enhance drug development by providing ethnicity-specific PK predictions.
- Further refinement of drug models within the simulator can improve accuracy for specific drugs and populations.
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