Multiscale modelling of drug transport and metabolism in liver spheroids



Leedale, JA ORCID: 0000-0001-9010-4126, Kyffin, Jonathan, Harding, Amy, Colley, Helen, Murdoch, Craig, Sharma, Parveen ORCID: 0000-0002-5534-2417, Williams, Dominic ORCID: 0000-0002-0758-3152, Webb, Steven and Bearon, Rachel ORCID: 0000-0001-8461-0823
(2020) Multiscale modelling of drug transport and metabolism in liver spheroids. Interface Focus, 10 (2).

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Abstract

In early preclinical drug development, potential candidates are tested in the laboratory using isolated cells. These in vitro experiments traditionally involve cells cultured in a two-dimensional monolayer environment. However, cells cultured in three-dimensional spheroid systems have been shown to more closely resemble the functionality and morphology of cells in vivo. While the increasing usage of hepatic spheroid cultures allows for more relevant experimentation in a more realistic biological environment, the underlying physical processes of drug transport, uptake and metabolism contributing to the spatial distribution of drugs in these spheroids remain poorly understood. The development of a multiscale mathematical modelling framework describing the spatio-temporal dynamics of drugs in multicellular environments enables mechanistic insight into the behaviour of these systems. Here, our analysis of cell membrane permeation and porosity throughout the spheroid reveals the impact of these properties on drug penetration, with maximal disparity between zonal metabolism rates occurring for drugs of intermediate lipophilicity. Our research shows how mathematical models can be used to simulate the activity and transport of drugs in hepatic spheroids and in principle any organoid, with the ultimate aim of better informing experimentalists on how to regulate dosing and culture conditions to more effectively optimize drug delivery.

Item Type: Article
Uncontrolled Keywords: speroid, hepatocytes, mathematical modelling, drug transport, systems pharmacology, organoid, systems biology, computational biology, biomathematics
Depositing User: Symplectic Admin
Date Deposited: 03 Mar 2020 11:31
Last Modified: 30 Dec 2021 11:10
DOI: 10.1098/rsfs.2019.0041
Open Access URL: https://doi.org/10.1098/rsfs.2019.0041
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3077573

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