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Related Concept Videos

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

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Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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Related Experiment Video

Updated: Aug 23, 2025

Visualization and Analysis of Blood Flow and Oxygen Consumption in Hepatic Microcirculation: Application to an Acute Hepatitis Model
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Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling.

S J Chidlow1, L E Randle2, R A Kelly1,3

  • 1School of Computer Science and Mathematics, Liverpool John Moores University, Liverpool, United Kingdom.

Plos One
|November 2, 2022
PubMed
Summary
This summary is machine-generated.

Mathematical modeling suggests a 5mm precision cut liver slice can achieve a physiologically relevant oxygen gradient (35-65mmHg). This finding optimizes ex vivo liver research conditions, improving drug-induced liver injury studies.

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Area of Science:

  • Hepatology
  • Biomedical Engineering
  • Computational Biology

Background:

  • Precision cut liver slices offer a physiologically relevant ex vivo model for studying liver disease and drug-induced liver injury.
  • Challenges include limited healthy human tissue availability and experimental variability.
  • Internal oxygen levels and media composition critically impact slice viability during culture.

Purpose of the Study:

  • To determine if a mathematical model can predict the generation of a physiologically relevant oxygen gradient (35-65mmHg) across precision cut liver slices.
  • To identify optimal conditions for achieving this gradient in vitro.

Main Methods:

  • Utilized mathematical modeling and computational simulations.
  • Investigated the influence of slice diameter, well position, and external incubator oxygen concentration on internal oxygen levels.
  • Focused on simulating oxygen diffusion within the liver tissue slices.

Main Results:

  • The model predicts that a 5mm diameter precision cut liver slice can achieve the target 35-65mmHg oxygen gradient.
  • Optimal results were predicted at atmospheric oxygen concentrations when slices are positioned at a specific height within a 12-well plate.
  • Slice diameter and position significantly affect internal oxygen distribution.

Conclusions:

  • Mathematical modeling demonstrates the feasibility of creating a physiologically relevant oxygen gradient in precision cut liver slices.
  • This approach can help standardize ex vivo liver slice culture, enhancing their utility in disease and toxicology research.
  • Optimized oxygen gradients are crucial for maintaining slice viability and improving the predictive power of these models.