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Title: | Pharmaceutical metabolism in fish: Using a 3-D Hepatic in Vitro model to assess clearance |
Authors: | Baron, MG Mintram, KS Owen, SF Hetheridge, MJ Moody, AJ Purcell, WM Jackson, SK Jha, AN |
Keywords: | drug metabolism;fish physiology;trout;xenobiotic metabolism;enzyme metabolism;enzymes;metabolic pathways;fish biology |
Issue Date: | 3-Jan-2017 |
Publisher: | PLOS |
Citation: | Baron, M.G. et al. (2017) 'Pharmaceutical metabolism in fish: Using a 3-D Hepatic in Vitro model to assess clearance', PLoS ONE, 12 (1), e0168837, pp. 1 - 13. doi: 10.1371/journal.pone.0168837. |
Abstract: | At high internal doses, pharmaceuticals have the potential for inducing biological/pharmacological effects in fish. One particular concern for the environment is their potential to bioaccumulate and reach pharmacological levels; the study of these implications for environmental risk assessment has therefore gained increasing attention. To avoid unnecessary testing on animals, in vitro methods for assessment of xenobiotic metabolism could aid in the ecotoxicological evaluation. Here we report the use of a 3-D in vitro liver organoid culture system (spheroids) derived from rainbow trout to measure the metabolism of seven pharmaceuticals using a substrate depletion assay. Of the pharmaceuticals tested, propranolol, diclofenac and phenylbutazone were metabolised by trout liver spheroids; atenolol, metoprolol, diazepam and carbamazepine were not. Substrate depletion kinetics data was used to estimate intrinsic hepatic clearance by this spheroid model, which was similar for diclofenac and approximately 5 fold higher for propranolol when compared to trout liver microsomal fraction (S9) data. These results suggest that liver spheroids could be used as a relevant and metabolically competent in vitro model with which to measure the biotransformation of pharmaceuticals in fish; and propranolol acts as a reproducible positive control. |
Description: | Supporting Information: Supplemental data containing pharmaceutical concentrations is available online at: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0168837#sec013 . |
URI: | https://bura.brunel.ac.uk/handle/2438/30840 |
DOI: | https://doi.org/10.1371/journal.pone.0168837 |
Other Identifiers: | ORCiD: Kate S Mintram https://orcid.org/0000-0001-7180-9200 e0168837 |
Appears in Collections: | Dept of Computer Science Research Papers |
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FullText.pdf | Copyright: © 2017 Baron et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | 1.44 MB | Adobe PDF | View/Open |
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