Quantitative in vitro-to-in vivo extrapolation in a high-throughput environment
- PMID: 24907440
- DOI: 10.1016/j.tox.2014.05.012
Quantitative in vitro-to-in vivo extrapolation in a high-throughput environment
Abstract
High-throughput in vitro toxicity screening provides an efficient way to identify potential biological targets for environmental and industrial chemicals while conserving limited testing resources. However, reliance on the nominal chemical concentrations in these in vitro assays as an indicator of bioactivity may misrepresent potential in vivo effects of these chemicals due to differences in clearance, protein binding, bioavailability, and other pharmacokinetic factors. Development of high-throughput in vitro hepatic clearance and protein binding assays and refinement of quantitative in vitro-to-in vivo extrapolation (QIVIVE) methods have provided key tools to predict xenobiotic steady state pharmacokinetics. Using a process known as reverse dosimetry, knowledge of the chemical steady state behavior can be incorporated with HTS data to determine the external in vivo oral exposure needed to achieve internal blood concentrations equivalent to those eliciting bioactivity in the assays. These daily oral doses, known as oral equivalents, can be compared to chronic human exposure estimates to assess whether in vitro bioactivity would be expected at the dose-equivalent level of human exposure. This review will describe the use of QIVIVE methods in a high-throughput environment and the promise they hold in shaping chemical testing priorities and, potentially, high-throughput risk assessment strategies.
Keywords: High-throughput screening; Quantitative in vitro-to-in vivo extrapolation; Reverse dosimetry.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
Similar articles
-
Integration of dosimetry, exposure, and high-throughput screening data in chemical toxicity assessment.Toxicol Sci. 2012 Jan;125(1):157-74. doi: 10.1093/toxsci/kfr254. Epub 2011 Sep 26. Toxicol Sci. 2012. PMID: 21948869
-
Incorporating population variability and susceptible subpopulations into dosimetry for high-throughput toxicity testing.Toxicol Sci. 2014 Nov;142(1):210-24. doi: 10.1093/toxsci/kfu169. Epub 2014 Aug 21. Toxicol Sci. 2014. PMID: 25145659
-
Implementing Toxicity Testing in the 21st Century (TT21C): Making safety decisions using toxicity pathways, and progress in a prototype risk assessment.Toxicology. 2015 Jun 5;332:102-11. doi: 10.1016/j.tox.2014.02.007. Epub 2014 Feb 25. Toxicology. 2015. PMID: 24582757
-
Gaining acceptance for the use of in vitro toxicity assays and QIVIVE in regulatory risk assessment.Toxicology. 2015 Jun 5;332:112-23. doi: 10.1016/j.tox.2015.01.010. Epub 2015 Jan 15. Toxicology. 2015. PMID: 25598226 Review.
-
The long and winding road of progress in the use of in vitro data for risk assessment purposes: From "carnation test" to integrated testing strategies.Toxicology. 2015 Jun 5;332:4-7. doi: 10.1016/j.tox.2014.04.004. Epub 2014 Apr 24. Toxicology. 2015. PMID: 24769060 Review.
Cited by
-
Assessing Chemical-Induced Liver Injury In Vivo From In Vitro Gene Expression Data in the Rat: The Case of Thioacetamide Toxicity.Front Genet. 2019 Nov 26;10:1233. doi: 10.3389/fgene.2019.01233. eCollection 2019. Front Genet. 2019. PMID: 31850077 Free PMC article.
-
A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species.Toxics. 2023 Jan 20;11(2):98. doi: 10.3390/toxics11020098. Toxics. 2023. PMID: 36850973 Free PMC article.
-
Using ToxCast™ Data to Reconstruct Dynamic Cell State Trajectories and Estimate Toxicological Points of Departure.Environ Health Perspect. 2016 Jul;124(7):910-9. doi: 10.1289/ehp.1409029. Epub 2015 Oct 16. Environ Health Perspect. 2016. PMID: 26473631 Free PMC article.
-
A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study.Crit Rev Toxicol. 2016 Oct;46(9):785-833. doi: 10.1080/10408444.2016.1193722. Epub 2016 Jun 27. Crit Rev Toxicol. 2016. PMID: 27347635 Free PMC article. Review.
-
TOXRIC: a comprehensive database of toxicological data and benchmarks.Nucleic Acids Res. 2023 Jan 6;51(D1):D1432-D1445. doi: 10.1093/nar/gkac1074. Nucleic Acids Res. 2023. PMID: 36400569 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical