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Updated: Aug 5, 2025

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
Published on: January 31, 2022
Use of In Vivo Imaging and Physiologically-Based Kinetic Modelling to Predict Hepatic Transporter Mediated Drug-Drug
Nicola Melillo1,2, Daniel Scotcher1, J Gerry Kenna3
1Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Science, The University of Manchester, Manchester M13 9PL, UK.
This study used dynamic contrast-enhanced MRI and PBPK modeling in rats to assess how drug interactions affect the contrast agent gadoxetate. Physiologically-based pharmacokinetic modeling accurately predicted changes in gadoxetate levels due to transporter inhibition.
Area of Science:
- Pharmacology
- Biophysics
- Medical Imaging
Background:
- Gadoxetate is an MRI contrast agent and a substrate for OATP1B1 and MRP2 transporters.
- Drug-drug interactions (DDIs) involving transporter inhibition can alter drug pharmacokinetics.
- Assessing these DDIs is crucial for patient safety and effective drug therapy.
Purpose of the Study:
- To evaluate dynamic contrast-enhanced MRI biomarkers for assessing transporter inhibition in rats.
- To prospectively predict changes in gadoxetate pharmacokinetics using physiologically-based pharmacokinetic (PBPK) modeling.
- To quantify hepatic transporter-mediated DDIs.
Main Methods:
- Six drugs with varying transporter inhibition potentials were administered to rats.
- Gadoxetate-enhanced MRI was used to assess changes in gadoxetate pharmacokinetics.
- PBPK modeling and tracer-kinetic models were employed to estimate rate constants (khe, kbh) and predict pharmacokinetic changes.
Main Results:
- Ciclosporin and rifampicin significantly decreased gadoxetate liver AUC (3.8- and 1.5-fold, respectively).
- PBPK modeling accurately predicted systemic gadoxetate AUCR changes but underpredicted liver AUC decreases.
- Observed decreases in hepatic uptake rate constant (khe) correlated well with PBPK-predicted transporter inhibition.
Conclusions:
- The study demonstrates a framework integrating liver imaging, PBPK, and tracer-kinetic models for DDI assessment.
- This approach allows for prospective quantification of hepatic transporter-mediated DDIs.
- The findings highlight the utility of dynamic contrast-enhanced MRI biomarkers in DDI studies.
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