Pharmaceutical Metabolism in Fish: Using a 3-D Hepatic In Vitro Model to Assess Clearance

PLoS One. 2017 Jan 3;12(1):e0168837. doi: 10.1371/journal.pone.0168837. eCollection 2017.

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.

MeSH terms

  • Animals
  • Atenolol / pharmacology
  • Biotransformation
  • Carbamazepine / pharmacology
  • Diazepam / pharmacology
  • Diclofenac / pharmacology
  • Drug Evaluation, Preclinical*
  • Female
  • Kinetics
  • Liver / drug effects*
  • Liver / metabolism
  • Metoprolol / pharmacology
  • Models, Animal
  • Oncorhynchus mykiss / metabolism*
  • Phenylbutazone / pharmacology
  • Propranolol / pharmacology
  • Tandem Mass Spectrometry
  • Water Pollutants, Chemical / analysis*
  • Xenobiotics / pharmacology

Substances

  • Water Pollutants, Chemical
  • Xenobiotics
  • Diclofenac
  • Carbamazepine
  • Atenolol
  • Propranolol
  • Metoprolol
  • Phenylbutazone
  • Diazepam

Grants and funding

This work was funded by a Biotechnology and Biological Sciences Research Council (BBSRC) Research Grant (BB/H53903/1) and IPA (BB/L01016X/1), co-funded by the AstraZeneca Global Safety, Health and Environment research programme, to ANJ and SKJ supporting MGJB. KSM was supported by an AstraZeneca Global Safety, Health and Environment research programme scholarship. SFO is an employee of AstraZeneca; and MJH was also an AstraZeneca employee. AstraZeneca provided support in the form of salaries for authors SFO and MJH and grant to ANJ and SKJ supporting MGJB and KSM, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. This work represents an AstraZeneca contribution in kind to the Innovative Medicines Initiative (IMI) under grant agreement no.115735—iPiE: Intelligent led assessment of Pharmaceuticals in the Environment; resources of which are composed of financial contribution from the European Union's Seventh Framework Programme (FP7/2015-2018) and European Federation of Pharmaceutical Industries and Associations (EFPIA) companies' in kind contribution.