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An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
Published on: December 3, 2020
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A new gastro-intestinal mathematical model to study drug bioavailability
Marcello Pompa1, Mauro Capocelli2, Vincenzo Piemonte1
1Unit of Chemical-physics Fundamentals in Chemical Engineering, Department of Engineering, University Campus Bio-Medico di Roma, via Álvaro del Portillo 21, 00128 Rome, Italy.
Medical Engineering & Physics
|October 1, 2019
Summary
A new mathematical model simulates drug absorption and food interactions, impacting bioavailability. The model accurately predicts drug concentrations and absorption times, with and without food, validated by in vivo data.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Mathematical Modeling in Pharmacology
- Bioavailability Studies
Background:
- Drug bioavailability is significantly influenced by gastro-intestinal absorption and food interactions.
- Understanding these interactions is crucial for optimizing drug efficacy and safety.
- Existing models may not fully capture the complex dynamics of drug absorption with food.
Purpose of the Study:
- To develop and validate a novel mathematical model for gastro-intestinal drug absorption.
- To investigate the impact of food interactions on drug bioavailability using this model.
- To predict drug pharmacokinetic profiles under various conditions.
Main Methods:
- A five-compartment model simulating the gastro-intestinal tract (stomach, duodenum, jejunum, intestine, blood).
- Utilized Michaelis-Menten kinetics to describe enzymatic reactions within the system.
- Validated the model against in vivo pharmacokinetic data for paracetamol and ketoprofen, with and without food.
Main Results:
- The model accurately predicted maximum blood concentrations and time to reach them for paracetamol and ketoprofen.
- Simulations showed reduced maximum concentrations and delayed absorption times when drugs were taken with food.
- Model predictions aligned with literature data, demonstrating its predictive capacity for drug absorption dynamics.
Conclusions:
- The developed mathematical model effectively describes drug absorption and food interactions.
- The model provides valuable insights into how food affects drug bioavailability and pharmacokinetic profiles.
- This tool can aid in predicting drug behavior and optimizing therapeutic strategies.
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