Literature DB >> 21948869

Integration of dosimetry, exposure, and high-throughput screening data in chemical toxicity assessment.

Barbara A Wetmore1, John F Wambaugh, Stephen S Ferguson, Mark A Sochaski, Daniel M Rotroff, Kimberly Freeman, Harvey J Clewell, David J Dix, Melvin E Andersen, Keith A Houck, Brittany Allen, Richard S Judson, Reetu Singh, Robert J Kavlock, Ann M Richard, Russell S Thomas.   

Abstract

High-throughput in vitro toxicity screening can provide an efficient way to identify potential biological targets for chemicals. However, relying on nominal assay concentrations may misrepresent potential in vivo effects of these chemicals due to differences in bioavailability, clearance, and exposure. Hepatic metabolic clearance and plasma protein binding were experimentally measured for 239 ToxCast Phase I chemicals. The experimental data were used in a population-based in vitro-to-in vivo extrapolation model to estimate the daily human oral dose, called the oral equivalent dose, necessary to produce steady-state in vivo blood concentrations equivalent to in vitro AC(50) (concentration at 50% of maximum activity) or lowest effective concentration values across more than 500 in vitro assays. The estimated steady-state oral equivalent doses associated with the in vitro assays were compared with chronic aggregate human oral exposure estimates to assess whether in vitro bioactivity would be expected at the dose-equivalent level of human exposure. A total of 18 (9.9%) chemicals for which human oral exposure estimates were available had oral equivalent doses at levels equal to or less than the highest estimated U.S. population exposures. Ranking the chemicals by nominal assay concentrations would have resulted in different chemicals being prioritized. The in vitro assay endpoints with oral equivalent doses lower than the human exposure estimates included cell growth kinetics, cytokine and cytochrome P450 expression, and cytochrome P450 inhibition. The incorporation of dosimetry and exposure provide necessary context for interpretation of in vitro toxicity screening data and are important considerations in determining chemical testing priorities.

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Year:  2011        PMID: 21948869     DOI: 10.1093/toxsci/kfr254

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  117 in total

1.  Criteria for environmentally associated autoimmune diseases.

Authors:  Frederick W Miller; K Michael Pollard; Christine G Parks; Dori R Germolec; Patrick S C Leung; Carlo Selmi; Michael C Humble; Noel R Rose
Journal:  J Autoimmun       Date:  2012-07-06       Impact factor: 7.094

2.  Disposition and metabolism of N-butylbenzenesulfonamide in Sprague Dawley rats and B6C3F1/N mice and in vitro in hepatocytes from rats, mice, and humans.

Authors:  Suramya Waidyanatha; Sherry R Black; Purvi R Patel; Cynthia V Rider; Scott L Watson; Rodney W Snyder; Timothy R Fennell
Journal:  Toxicol Lett       Date:  2019-11-21       Impact factor: 4.372

3.  Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor.

Authors:  Richard S Judson; Felicia Maria Magpantay; Vijay Chickarmane; Cymra Haskell; Nessy Tania; Jean Taylor; Menghang Xia; Ruili Huang; Daniel M Rotroff; Dayne L Filer; Keith A Houck; Matthew T Martin; Nisha Sipes; Ann M Richard; Kamel Mansouri; R Woodrow Setzer; Thomas B Knudsen; Kevin M Crofton; Russell S Thomas
Journal:  Toxicol Sci       Date:  2015-08-13       Impact factor: 4.849

Review 4.  QSAR without borders.

Authors:  Eugene N Muratov; Jürgen Bajorath; Robert P Sheridan; Igor V Tetko; Dmitry Filimonov; Vladimir Poroikov; Tudor I Oprea; Igor I Baskin; Alexandre Varnek; Adrian Roitberg; Olexandr Isayev; Stefano Curtarolo; Denis Fourches; Yoram Cohen; Alan Aspuru-Guzik; David A Winkler; Dimitris Agrafiotis; Artem Cherkasov; Alexander Tropsha
Journal:  Chem Soc Rev       Date:  2020-05-01       Impact factor: 54.564

5.  FutureTox: building the road for 21st century toxicology and risk assessment practices.

Authors:  J Craig Rowlands; Miriam Sander; James S Bus
Journal:  Toxicol Sci       Date:  2013-11-07       Impact factor: 4.849

6.  A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources.

Authors:  Li Li; John N Westgate; Lauren Hughes; Xianming Zhang; Babak Givehchi; Liisa Toose; James M Armitage; Frank Wania; Peter Egeghy; Jon A Arnot
Journal:  Environ Sci Technol       Date:  2018-11-27       Impact factor: 9.028

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

8.  Conceptual Framework To Extend Life Cycle Assessment Using Near-Field Human Exposure Modeling and High-Throughput Tools for Chemicals.

Authors:  Susan A Csiszar; David E Meyer; Kathie L Dionisio; Peter Egeghy; Kristin K Isaacs; Paul S Price; Kelly A Scanlon; Yu-Mei Tan; Kent Thomas; Daniel Vallero; Jane C Bare
Journal:  Environ Sci Technol       Date:  2016-10-18       Impact factor: 9.028

9.  High-throughput exposure modeling to support prioritization of chemicals in personal care products.

Authors:  Susan A Csiszar; Alexi S Ernstoff; Peter Fantke; David E Meyer; Olivier Jolliet
Journal:  Chemosphere       Date:  2016-08-24       Impact factor: 7.086

10.  A Systematic Review of Carcinogenic Outcomes and Potential Mechanisms from Exposure to 2,4-D and MCPA in the Environment.

Authors:  Katherine von Stackelberg
Journal:  J Toxicol       Date:  2013-02-26
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