Toward improved models for predicting bioconcentration of well-metabolized compounds by rainbow trout using measured rates of in vitro intrinsic clearance

John W. Nichols, Duane B. Huggett, Jon A. Arnot, Patrick N. Fitzsimmons, Christina E. Cowan-Ellsberry

Research output: Contribution to journalArticle

63 Scopus citations

Abstract

Models were developed to predict the bioconcentration of well-metabolized chemicals by rainbow trout. The models employ intrinsic clearance data from in vitro studies with liver S9 fractions or isolated hepatocytes to estimate a liver clearance rate, which is extrapolated to a whole-body biotransformation rate constant (kMET). Estimated kMET values are then used as inputs to a mass-balance bioconcentration prediction model. An updated algorithm based on measured binding values in trout is used to predict unbound chemical fractions in blood, while other model parameters are designed to be representative of small fish typically used in whole-animal bioconcentration testing efforts. Overall model behavior was shown to be strongly dependent on the relative hydrophobicity of the test compound and assumed rate of in vitro activity. The results of a restricted sensitivity analysis highlight critical research needs and provide guidance on the use of in vitro biotransformation data in a tiered approach to bioaccumulation assessment. Environ Toxicol Chem 2013;32:1611-1622.

Original languageEnglish (US)
Pages (from-to)1611-1622
Number of pages12
JournalEnvironmental Toxicology and Chemistry
Volume32
Issue number7
DOIs
StatePublished - Jul 1 2013

Keywords

  • Bioaccumulation
  • Bioconcentration
  • Biotransformation
  • Fish
  • In vitro-in vivo extrapolation

Fingerprint Dive into the research topics of 'Toward improved models for predicting bioconcentration of well-metabolized compounds by rainbow trout using measured rates of in vitro intrinsic clearance'. Together they form a unique fingerprint.

  • Cite this