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Models and Methods to Evaluate Transport of Drug Delivery Systems Across Cellular Barriers
Published on: October 17, 2013
Is It Time to Use Modeling of Cellular Transporter Homeostasis to Inform Drug-Drug Interaction Studies: Theoretical
Roberto A Abbiati1,2, M Guillaume Wientjes1,3, Jessie L-S Au4,5,6,7
1Institute of Quantitative Systems Pharmacology, Carlsbad, California, 92008, USA.
Mathematical modeling predicts drug-drug interactions (DDIs) by simulating transporter homeostasis disruption. Perturbing transporter internalization or recycling significantly impacts victim drug concentrations, aiding drug development.
Area of Science:
- Pharmacology
- Computational Biology
- Drug Development
Background:
- Mathematical modeling is crucial for pharmaceutical research and drug development efficiency.
- Previous work applied a multiscale model to nanoparticle disposition.
- This study focuses on intracellular processes and drug-drug interactions (DDIs).
Purpose of the Study:
- To demonstrate how disruption of transporter homeostasis can lead to DDIs.
- To identify key factors influencing DDI detection using a 4-scale model.
- To support model-informed drug development strategies.
Main Methods:
- Utilized a 4-scale model (cell membrane, intracellular organelles, spatial location, time).
- Integrated literature data on intracellular processing of membrane receptors and transporters.
- Developed computational components for transporter homeostasis, pharmacokinetics, and pharmacodynamics.
Main Results:
- Disruption of transporter internalization or recycling showed the highest incidence of DDIs.
- Minor DDIs were observed with perturbations in transporter synthesis and endosome trafficking.
- Spatial transporter distribution, co-incubation time, and extracellular concentrations determined DDI detection.
Conclusions:
- Mathematical modeling is valuable for generating hypotheses and designing experiments to identify potential DDIs.
- Simulations revealed that transporter internalization and recycling are critical pathways for DDI.
- The findings align with the FDA's model-informed drug development paradigm.
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