Correlation of In Vivo Versus In Vitro Benchmark Doses (BMDs) Derived From Micronucleus Test Data: A Proof of Concept Study

Toxicol Sci. 2015 Dec;148(2):355-67. doi: 10.1093/toxsci/kfv189. Epub 2015 Oct 5.

Abstract

In this study, we explored the applicability of using in vitro micronucleus (MN) data from human lymphoblastoid TK6 cells to derive in vivo genotoxicity potency information. Nineteen chemicals covering a broad spectrum of genotoxic modes of action were tested in an in vitro MN test using TK6 cells using the same study protocol. Several of these chemicals were considered to need metabolic activation, and these were administered in the presence of S9. The Benchmark dose (BMD) approach was applied using the dose-response modeling program PROAST to estimate the genotoxic potency from the in vitro data. The resulting in vitro BMDs were compared with previously derived BMDs from in vivo MN and carcinogenicity studies. A proportional correlation was observed between the BMDs from the in vitro MN and the BMDs from the in vivo MN assays. Further, a clear correlation was found between the BMDs from in vitro MN and the associated BMDs for malignant tumors. Although these results are based on only 19 compounds, they show that genotoxicity potencies estimated from in vitro tests may result in useful information regarding in vivo genotoxic potency, as well as expected cancer potency. Extension of the number of compounds and further investigation of metabolic activation (S9) and of other toxicokinetic factors would be needed to validate our initial conclusions. However, this initial work suggests that this approach could be used for in vitro to in vivo extrapolations which would support the reduction of animals used in research (3Rs: replacement, reduction, and refinement).

Keywords: TK6 cells, benchmark dose approach; genotoxic potency; in vitro micronucleus.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animal Testing Alternatives / standards*
  • Animals
  • Benchmarking / standards*
  • Cell Line
  • Dose-Response Relationship, Drug
  • Humans
  • Lymphocytes / drug effects*
  • Lymphocytes / pathology
  • Micronuclei, Chromosome-Defective / chemically induced*
  • Micronucleus Tests / standards*
  • Models, Biological*
  • Reproducibility of Results
  • Risk Assessment