A bespoke microfluidic pharmacokinetic compartment model for drug absorption using artificial cell membranes
Jaime L Korner1, Elanna B Stephenson, Katherine S Elvira
1Department of Chemistry, University of Victoria, Victoria, BC, Canada. kelvira@uvic.ca.
A new pharmacokinetic model using microfluidic droplets and artificial cells improves intestinal drug absorption prediction threefold over current methods. This biomimetic approach offers more accurate insights into drug behavior in the jejunum.
Area of Science:
- Pharmacokinetics
- Drug Delivery
- Biomimetic Modeling
Background:
- Accurate prediction of oral drug absorption is crucial for efficient drug development.
- Current in vitro methods like parallel artificial membrane permeability assays (PAMPA) have limitations in predicting intestinal absorption.
- There is a need for improved in vitro models that better mimic the intestinal environment.
Purpose of the Study:
- To develop and validate a novel pharmacokinetic compartment model for enhanced prediction of intestinal drug absorption.
- To compare the performance of the new model against the current state-of-the-art PAMPA technique.
- To quantify key pharmacokinetic parameters using the developed microfluidic platform.
Main Methods:
- Utilized a three-stage pharmacokinetic compartment model based on microfluidic droplets.
- Employed bespoke, biomimetic artificial cells with membranes composed of l-α-phosphatidylcholine (PC) and l-α-phosphatidylethanolamine (PE).
- Modeled drug proxy transport from the intestinal space into an enterocyte, mimicking blood entry.
Main Results:
- The new model demonstrated a threefold improvement in predicting molecular absorption in the jejunum compared to PAMPA.
- The apparent permeability coefficient (Papp) determined by the model closely resembles that of actual intestinal tissue.
- PAMPA was found to overestimate the apparent permeability coefficient by a factor of 20.
Conclusions:
- The developed microfluidic pharmacokinetic compartment model offers a significant advancement in predicting intestinal drug absorption.
- This biomimetic approach provides more accurate in vitro data relevant to in vivo drug behavior.
- The platform enables precise quantification of pharmacokinetic parameters like half-life, flux, and Papp.
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