Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling

Precision cut liver slices represent an encouraging ex vivo method to understand the pathogenesis of liver disease alongside drug induced liver injury. Despite being more physiologically relevant compared to in vitro models, precision cut liver slices are limited by the availability of healthy human...

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Published in:PloS one 2022-11, Vol.17 (11), p.e0275788
Main Authors: Chidlow, S J, Randle, L E, Kelly, R A
Format: Article
Language:English
Subjects:
Artificial intelligence
Atmospheric models
Atmospheric oxygen
Care and treatment
Chemical and Drug Induced Liver Injury - pathology
Concentration gradient
Development and progression
Diagnosis
Eigenvalues
Health aspects
Human tissues
Humans
Liver
Liver - pathology
Liver diseases
Mathematical analysis
Mathematical models
Modelling
Oxygen
Oxygen equipment (Medical care)
Pathogenesis
Physiology
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description Precision cut liver slices represent an encouraging ex vivo method to understand the pathogenesis of liver disease alongside drug induced liver injury. Despite being more physiologically relevant compared to in vitro models, precision cut liver slices are limited by the availability of healthy human tissue and experimental variability. Internal oxygen concentration and media composition govern the longevity and viability of the slices during the culture period and as such, a variety of approaches have been taken to maximise the appropriateness of the internal oxygen concentrations across the slice. The aim of this study was to predict whether it is possible to generate a physiologically relevant oxygen gradient of 35-65mmHg across a precision cut liver slice using mathematical modelling. Simulations explore how the internal oxygen concentration changes as a function of the diameter of the slice, the position inside the well and the external incubator oxygen concentration. The model predicts that the desired oxygen gradient may be achieved using a 5mm diameter slice at atmospheric oxygen concentrations, provided that the slice is positioned at a certain height within the well of a 12-well plate.
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subjects Artificial intelligence
Atmospheric models
Atmospheric oxygen
Care and treatment
Chemical and Drug Induced Liver Injury - pathology
Concentration gradient
Development and progression
Diagnosis
Eigenvalues
Health aspects
Human tissues
Humans
Liver
Liver - pathology
Liver diseases
Mathematical analysis
Mathematical models
Modelling
Oxygen
Oxygen equipment (Medical care)
Pathogenesis
Physiology
title Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling
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