Characterizing solute transport across cell layers: Artifact correction and parameter extraction from a simplified
Júlia Tárnoki-Zách1, Imre Boldizsár2, Gábor M Kovács3
1Department of Biological Physics, Eotvos University, Budapest, Hungary.
Summary
Automated epithelial barrier assays can have sampling artifacts. We developed a mathematical correction and a three-compartment model for more accurate drug absorption and bioavailability analysis.
Area of Science:
- Pharmacology and Drug Development
- Biophysical Chemistry
- Computational Biology
Background:
- Epithelial cell layers on transwell inserts are crucial for early drug development, estimating absorption and bioavailability.
- Automated sampling in these assays increases throughput but can introduce artifacts like residual volume and surface adsorption.
- These artifacts distort concentration time series, impacting downstream pharmacokinetic analysis.
Purpose of the Study:
- To develop a mathematical correction for sampling artifacts in transwell assays.
- To implement a three-compartment model for analyzing solute transport across epithelial barriers.
- To enable more accurate characterization of analyte interactions and compound behavior in vitro.
Main Methods:
- Proposed a mathematical correction method to account for sampling artifacts.
- Developed a three-compartment model to capture membrane diffusion, cellular sequestration, and metabolic loss.
- Demonstrated the method using datasets from transwell epithelial barrier transport assays.
Main Results:
- The mathematical correction effectively addresses systematic artifacts in concentration time series.
- The three-compartment model provides mechanistically meaningful parameters compared to apparent permeability (Papp).
- The approach enhances the accuracy of characterizing analyte interactions with epithelial cell layers.
Conclusions:
- The proposed method improves the precision of automated measurements in transwell assays.
- The three-compartment model offers a more robust analysis of solute transport than conventional methods.
- This approach supports better-informed assessments of drug behavior in vitro transport systems.
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