Literature DB >> 24907440

Quantitative in vitro-to-in vivo extrapolation in a high-throughput environment.

Barbara A Wetmore1.   

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.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  High-throughput screening; Quantitative in vitro-to-in vivo extrapolation; Reverse dosimetry

Mesh:

Year:  2014        PMID: 24907440     DOI: 10.1016/j.tox.2014.05.012

Source DB:  PubMed          Journal:  Toxicology        ISSN: 0300-483X            Impact factor:   4.221


  42 in total

1.  Predicting tubular reabsorption with a human kidney proximal tubule tissue-on-a-chip and physiologically-based modeling.

Authors:  Courtney Sakolish; Zunwei Chen; Chimeddulam Dalaijamts; Kusumica Mitra; Yina Liu; Tracy Fulton; Terry L Wade; Edward J Kelly; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicol In Vitro       Date:  2019-12-17       Impact factor: 3.500

2.  An Intuitive Approach for Predicting Potential Human Health Risk with the Tox21 10k Library.

Authors:  Nisha S Sipes; John F Wambaugh; Robert Pearce; Scott S Auerbach; Barbara A Wetmore; Jui-Hua Hsieh; Andrew J Shapiro; Daniel Svoboda; Michael J DeVito; Stephen S Ferguson
Journal:  Environ Sci Technol       Date:  2017-09-06       Impact factor: 9.028

Review 3.  The Impact of Novel Assessment Methodologies in Toxicology on Green Chemistry and Chemical Alternatives.

Authors:  Ivan Rusyn; Nigel Greene
Journal:  Toxicol Sci       Date:  2018-02-01       Impact factor: 4.849

4.  Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics.

Authors:  John F Wambaugh; Michael F Hughes; Caroline L Ring; Denise K MacMillan; Jermaine Ford; Timothy R Fennell; Sherry R Black; Rodney W Snyder; Nisha S Sipes; Barbara A Wetmore; Joost Westerhout; R Woodrow Setzer; Robert G Pearce; Jane Ellen Simmons; Russell S Thomas
Journal:  Toxicol Sci       Date:  2018-05-01       Impact factor: 4.849

5.  Advancing chemical risk assessment decision-making with population variability data: challenges and opportunities.

Authors:  Weihsueh A Chiu; Ivan Rusyn
Journal:  Mamm Genome       Date:  2018-01-03       Impact factor: 2.957

6.  Aggregate Exposure Pathways in Support of Risk Assessment.

Authors:  Yu-Mei Tan; Jeremy A Leonard; Stephen Edwards; Justin Teeguarden; Alicia Paini; Peter Egeghy
Journal:  Curr Opin Toxicol       Date:  2018-03-29

7.  In vitro screening for population variability in toxicity of pesticide-containing mixtures.

Authors:  Nour Abdo; Barbara A Wetmore; Grace A Chappell; Damian Shea; Fred A Wright; Ivan Rusyn
Journal:  Environ Int       Date:  2015-09-19       Impact factor: 9.621

Review 8.  A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study.

Authors:  Katie Paul Friedman; Sabitha Papineni; M Sue Marty; Kun Don Yi; Amber K Goetz; Reza J Rasoulpour; Pat Kwiatkowski; Douglas C Wolf; Ann M Blacker; Richard C Peffer
Journal:  Crit Rev Toxicol       Date:  2016-06-27       Impact factor: 5.635

9.  In Vitro Bioavailability of the Hydrocarbon Fractions of Dimethyl Sulfoxide Extracts of Petroleum Substances.

Authors:  Yu-Syuan Luo; Kyle C Ferguson; Ivan Rusyn; Weihsueh A Chiu
Journal:  Toxicol Sci       Date:  2020-04-01       Impact factor: 4.849

10.  httk: R Package for High-Throughput Toxicokinetics.

Authors:  Robert G Pearce; R Woodrow Setzer; Cory L Strope; John F Wambaugh; Nisha S Sipes
Journal:  J Stat Softw       Date:  2017-07-17       Impact factor: 6.440

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