Literature DB >> 25014875

Application of mass balance models and the chemical activity concept to facilitate the use of in vitro toxicity data for risk assessment.

James M Armitage1, Frank Wania, Jon A Arnot.   

Abstract

Practical, financial, and ethical considerations related to conducting extensive animal testing have resulted in various initiatives to promote and expand the use of in vitro testing data for chemical evaluations. Nominal concentrations in the aqueous phase corresponding to an effect (or biological activity) are commonly reported and used to characterize toxicity (or biological response). However, the true concentration in the aqueous phase can be substantially different from the nominal. To support in vitro test design and aid the interpretation of in vitro toxicity data, we developed a mass balance model that can be parametrized and applied to represent typical in vitro test systems. The model calculates the mass distribution, freely dissolved concentrations, and cell/tissue concentrations corresponding to the initial nominal concentration and experimental conditions specified by the user. Chemical activity, a metric which can be used to assess the potential for baseline toxicity to occur, is also calculated. The model is first applied to a set of hypothetical chemicals to illustrate the degree to which test conditions (e.g., presence or absence of serum) influence the distribution of the chemical in the test system. The model is then applied to set of 1194 real substances (predominantly from the ToxCast chemical database) to calculate the potential range of concentrations and chemical activities under assumed test conditions. The model demonstrates how both concentrations and chemical activities can vary by orders of magnitude for the same nominal concentration.

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Year:  2014        PMID: 25014875     DOI: 10.1021/es501955g

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  35 in total

1.  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 2.  In vitro to in vivo extrapolation for high throughput prioritization and decision making.

Authors:  Shannon M Bell; Xiaoqing Chang; John F Wambaugh; David G Allen; Mike Bartels; Kim L R Brouwer; Warren M Casey; Neepa Choksi; Stephen S Ferguson; Grazyna Fraczkiewicz; Annie M Jarabek; Alice Ke; Annie Lumen; Scott G Lynn; Alicia Paini; Paul S Price; Caroline Ring; Ted W Simon; Nisha S Sipes; Catherine S Sprankle; Judy Strickland; John Troutman; Barbara A Wetmore; Nicole C Kleinstreuer
Journal:  Toxicol In Vitro       Date:  2017-12-05       Impact factor: 3.500

3.  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

4.  Rapid experimental measurements of physicochemical properties to inform models and testing.

Authors:  Chantel I Nicolas; Kamel Mansouri; Katherine A Phillips; Christopher M Grulke; Ann M Richard; Antony J Williams; James Rabinowitz; Kristin K Isaacs; Alice Yau; John F Wambaugh
Journal:  Sci Total Environ       Date:  2018-05-02       Impact factor: 7.963

5.  Assessing Toxicokinetic Uncertainty and Variability in Risk Prioritization.

Authors:  John F Wambaugh; Barbara A Wetmore; Caroline L Ring; Chantel I Nicolas; Robert G Pearce; Gregory S Honda; Roger Dinallo; Derek Angus; Jon Gilbert; Teresa Sierra; Akshay Badrinarayanan; Bradley Snodgrass; Adam Brockman; Chris Strock; R Woodrow Setzer; Russell S Thomas
Journal:  Toxicol Sci       Date:  2019-12-01       Impact factor: 4.849

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.  Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.

Authors:  Rory B Conolly; Gerald T Ankley; WanYun Cheng; Michael L Mayo; David H Miller; Edward J Perkins; Daniel L Villeneuve; Karen H Watanabe
Journal:  Environ Sci Technol       Date:  2017-04-07       Impact factor: 9.028

8.  Atropselective Partitioning of Polychlorinated Biphenyls in a HepG2 Cell Culture System: Experimental and Modeling Results.

Authors:  Chun-Yun Zhang; Susanne Flor; Gabriele Ludewig; Hans-Joachim Lehmler
Journal:  Environ Sci Technol       Date:  2020-10-15       Impact factor: 9.028

9.  Thorough QT/QTc in a Dish: An In Vitro Human Model That Accurately Predicts Clinical Concentration-QTc Relationships.

Authors:  Alexander D Blanchette; Fabian A Grimm; Chimeddulam Dalaijamts; Nan-Hung Hsieh; Kyle Ferguson; Yu-Syuan Luo; Ivan Rusyn; Weihsueh A Chiu
Journal:  Clin Pharmacol Ther       Date:  2018-12-02       Impact factor: 6.875

10.  Benchmark Concentrations for Untargeted Metabolomics Versus Transcriptomics for Liver Injury Compounds in In Vitro Liver Models.

Authors:  David M Crizer; Sreenivasa C Ramaiahgari; Stephen S Ferguson; Julie R Rice; Paul E Dunlap; Nisha S Sipes; Scott S Auerbach; Bruce Alex Merrick; Michael J DeVito
Journal:  Toxicol Sci       Date:  2021-05-27       Impact factor: 4.849

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