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A Bottom-up Approach for Mutant and Wild Type Collies Using Physiologically Based Pharmacokinetic (PBPK) Modeling: A
Charlotte Cross1, Marilyn N Martinez2, Devendra Pade1
1Certara UK Ltd., Certara Predictive Technologies, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
A new physiologically based pharmacokinetic (PBPK) model accurately predicts loperamide drug levels in Collies. This model accounts for genetic variations in the multidrug resistance 1 (Mdr1) gene, improving drug safety predictions in this breed.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Veterinary Pharmacology
- Computational Biology
Background:
- Loperamide is a substrate for P-glycoprotein (P-gp), encoded by the multidrug resistance 1 (Mdr1) gene.
- Genetic variations in the Mdr1 gene, such as in the Collie breed, can significantly alter drug pharmacokinetics.
- Accurate prediction of drug behavior in specific canine breeds is crucial for safe and effective therapeutic use.
Purpose of the Study:
- To develop a bottom-up physiologically based pharmacokinetic (PBPK) model for predicting loperamide pharmacokinetics in Collies.
- To incorporate in vitro-to-in vivo extrapolation (IVIVE) techniques for predicting in vivo drug exposure.
- To evaluate the model's performance in both wild-type (WT) and Mdr1-deficient (Mu, Δ-Mdr1) Collies.
Main Methods:
- Development of a breed-specific whole-body PBPK model for Collies using published physiological data.
- Application of in vitro-to-in vivo extrapolation (IVIVE) to predict loperamide absorption, distribution, metabolism, and elimination (ADME).
- Utilized the Simcyp Animal Simulator for loperamide IVIVE-PBPK modeling and simulation.
Main Results:
- The developed PBPK model successfully captured observed plasma concentration-versus-time profiles for loperamide in both WT and Mu Collies.
- Model predictions for Area Under the Curve (AUC) and maximal plasma concentration (Cmax) showed good agreement with observed values.
- Predicted Cmax values were within ±25% of observed values for 67% of WT dog doses, and AUC predictions were within 50% for all Mu dog doses.
Conclusions:
- This study presents the first systematic approach for developing a Collie-specific PBPK model to predict loperamide pharmacokinetics.
- The model effectively illustrates the impact of the canine Mdr1 genetic variation on drug disposition.
- The established IVIVE-PBPK framework provides a general workflow for predicting in vivo drug behavior in specific canine breeds.
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