Bioconcentration Assessment in Fish Based on In Vitro Intrinsic Clearance: Predictivity of an Empirical Model Compared to In Vitro–In Vivo Extrapolation Models

Laue, Heike; Hostettler, Lu; Jenner, Karen J.; Sanders, Gordon; Natsch, Andreas

doi:10.1021/acs.est.3c02216

Cited by 1 publication

(1 citation statement)

References 48 publications

(153 reference statements)

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“…In addition, a better understanding of the in vitro clearance capabilities of each of these species may allow for more global, harmonized protocols. Data generated in such a manner can also be used build databases to provide critical support for a variety of bioaccumulation modeling tools including those recently published by Laue et al (2023).…”

Section: Introductionmentioning

confidence: 99%

A Comparison of In Vitro Metabolic Clearance of Various Regulatory Fish Species Using Hepatic S9 Fractions

Zercher,

Coral,

Nabb

et al. 2024

Enviro Toxic and Chemistry

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Bioaccumulation predictions can be substantially improved by combining in vitro metabolic rate measurements derived from rainbow trout hepatocytes and/or hepatic S9 fractions with quantitative structure–activity relationship (QSAR) modeling approaches. Compared with in vivo testing guidelines Organisation for Economic Co‐operation and Development (OECD) 305 and Office of Chemical Safety and Pollution Prevention (OCSPP; an office of the US Environmental Protection Agency) 850.1730, the recently adopted OECD test guidelines 319A and 319B are in vitro approaches that have the potential to provide a time‐ and cost‐efficient, humane solution, reducing animal use while addressing uncertainties in bioaccumulation across species. The present study compares the hepatic clearance of the S9 subcellular fraction of rainbow trout, bluegill, common carp, fathead minnow, and largemouth bass, discerning potential differences in metabolism between different warm‐ and cold‐water species. With refinements to the in vitro metabolic S9 assay for high‐throughput analysis, we measured in vitro clearance rates of seven chemicals crossing multiple classes of chemistry and modes of action. We confirmed that data from rainbow trout liver S9 fraction metabolic rates can be utilized to predict rainbow trout bioconcentration factors using an in vitro to in vivo extrapolation model, as intended in the OECD 319B applicability domain per the bioaccumulation prediction. Also, we determined that OECD 319B can be applied to other species, modified according to their habitat, adaptations to feeding behavior, and environmental conditions (e.g., temperature). Once toxicokinetics for each species is better understood and appropriate models are developed, this method can be an excellent tool to determine hepatic clearance and potential bioaccumulation across species. The present study could be leveraged prior to or in place of initiating in vivo bioconcentration studies, thus optimizing selection of appropriate fish species. Environ Toxicol Chem 2024;00:1–16. © 2024 SETAC

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Section: Introductionmentioning

confidence: 99%