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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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Detalles Bibliográficos
Autores principales: Chidlow, S. J., Randle, L. E., Kelly, R. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629643/
https://www.ncbi.nlm.nih.gov/pubmed/36322567
http://dx.doi.org/10.1371/journal.pone.0275788
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author Chidlow, S. J.
Randle, L. E.
Kelly, R. A.
author_facet Chidlow, S. J.
Randle, L. E.
Kelly, R. A.
author_sort Chidlow, S. J.
collection PubMed
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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spelling pubmed-96296432022-11-03 Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling Chidlow, S. J. Randle, L. E. Kelly, R. A. PLoS One Research Article 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. Public Library of Science 2022-11-02 /pmc/articles/PMC9629643/ /pubmed/36322567 http://dx.doi.org/10.1371/journal.pone.0275788 Text en © 2022 Chidlow et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chidlow, S. J.
Randle, L. E.
Kelly, R. A.
Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling
title Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling
title_full Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling
title_fullStr Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling
title_full_unstemmed Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling
title_short Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling
title_sort predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9629643/
https://www.ncbi.nlm.nih.gov/pubmed/36322567
http://dx.doi.org/10.1371/journal.pone.0275788
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