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Related Experiment Video

Updated: May 8, 2026

An All-Human Hepatic Culture System for Drug Development Applications

An All-Human Hepatic Culture System for Drug Development Applications

Published on: October 20, 2023

A physiologically-based flow network model for hepatic drug elimination II: variable lattice lobule models.

Vahid Rezania¹, Rebeccah Marsh, Dennis Coombe

¹Department of Physics and Experimental Oncology, University of Alberta, Edmonton, AB T6G 2J1, Canada. jackt@ualberta.ca.

Theoretical Biology & Medical Modelling

|September 7, 2013

Summary

This study models drug transport and metabolism in the liver lobule, accounting for structural variations. Results highlight how liver zonation and disease-related changes impact drug distribution and liver function.

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Published on: December 3, 2020

Area of Science:

Pharmacokinetics and Drug Metabolism
Computational Biology
Liver Physiology

Background:

Drug transport and metabolism are crucial for liver function.
Liver lobule structure significantly influences physiological processes.
Understanding structural variability is key to predicting drug behavior.

Purpose of the Study:

To extend a physiologically-based lattice model for drug transport and metabolism.
To incorporate structural and spatial variability within the liver lobule.
To analyze the impact of liver zonation and disease on drug disposition.

Main Methods:

Physiologically-based lattice modeling of drug transport and metabolism.
Simulation of drug concentration gradients within the liver lobule.
Inclusion of liver zonation and structural inhomogeneity in models.

Main Results:

Predicted drug concentrations exiting the lobule were compared with internal distributions.
The influence of structural variation on drug concentration profiles was identified.
Liver zonation was shown to play a significant role in drug metabolism.

Conclusions:

Structural variations in the liver lobule significantly affect drug transport and metabolism.
Liver zonation is a critical factor in drug disposition.
The model provides insights into how liver disease impacts drug efficacy and toxicity.