Literature DB >> 26139166

Acute Toxicity Prediction in Multiple Species by Leveraging Mechanistic ToxCast Mitochondrial Inhibition Data and Simulation of Oral Bioavailability.

Barun Bhhatarai1, Daniel M Wilson2, Michael J Bartels2, Shubhra Chaudhuri2, Paul S Price2, Edward W Carney2.   

Abstract

There is great interest in assessing the in vivo toxicity of chemicals using nonanimal alternatives. However, acute mammalian toxicity is not adequately predicted by current in silico or in vitro approaches. Mechanisms of acute toxicity are likely conserved across invertebrate, aquatic, and mammalian species, suggesting that dose-response concordance would be high and in vitro mechanistic data could predict responses in multiple species under conditions of similar bioavailability. We tested this hypothesis by comparing acute toxicity between rat, daphnia, and fish and by comparing their respective acute data to inhibition of mitochondria membrane potential (MMP) using U.S. Environmental Protection Agency ToxCast in vitro high-throughput screening data. Logarithmic scatter plots of acute toxicity data showed a clear relationship between fish, daphnia, and intravenous rat but not oral rat data. Similar plots versus MMP showed a well-delineated upper boundary for fish, daphnia, and intravenous data but were scattered without an upper boundary for rat oral data. Adjustments of acute oral rat toxicity values by simulating fractional absorption and CYP-based metabolism as well as removing compounds with hydrolyzable linkages or flagged as substrates for glucuronidation delineated an upper boundary for rat oral toxicity versus MMP. Mitochondrial inhibition at low concentrations predicted highly acutely toxic chemicals for fish and daphnia but not the rat where toxicity was often attenuated. This use of a single high-throughput screening assay to predict acute toxicity in multiple species represents a milestone and highlights the promise of such approaches but also the need for refined tools to address systemic bioavailability and the impact of limited absorption and first pass metabolism.
© The Author 2015. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Keywords:  QSAR; acute; bioavailability; biotransformation and toxicokinetics; in vitro and alternatives; mechanisms; predictive toxicology; safety evaluation; systems toxicology, toxicity

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Year:  2015        PMID: 26139166     DOI: 10.1093/toxsci/kfv135

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


  5 in total

Review 1.  Alternative approaches for identifying acute systemic toxicity: Moving from research to regulatory testing.

Authors:  Jon Hamm; Kristie Sullivan; Amy J Clippinger; Judy Strickland; Shannon Bell; Barun Bhhatarai; Bas Blaauboer; Warren Casey; David Dorman; Anna Forsby; Natàlia Garcia-Reyero; Sean Gehen; Rabea Graepel; Jon Hotchkiss; Anna Lowit; Joanna Matheson; Elissa Reaves; Louis Scarano; Catherine Sprankle; Jay Tunkel; Dan Wilson; Menghang Xia; Hao Zhu; David Allen
Journal:  Toxicol In Vitro       Date:  2017-01-06       Impact factor: 3.500

2.  The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency.

Authors:  Russell S Thomas; Tina Bahadori; Timothy J Buckley; John Cowden; Chad Deisenroth; Kathie L Dionisio; Jeffrey B Frithsen; Christopher M Grulke; Maureen R Gwinn; Joshua A Harrill; Mark Higuchi; Keith A Houck; Michael F Hughes; E Sidney Hunter; Kristin K Isaacs; Richard S Judson; Thomas B Knudsen; Jason C Lambert; Monica Linnenbrink; Todd M Martin; Seth R Newton; Stephanie Padilla; Grace Patlewicz; Katie Paul-Friedman; Katherine A Phillips; Ann M Richard; Reeder Sams; Timothy J Shafer; R Woodrow Setzer; Imran Shah; Jane E Simmons; Steven O Simmons; Amar Singh; Jon R Sobus; Mark Strynar; Adam Swank; Rogelio Tornero-Valez; Elin M Ulrich; Daniel L Villeneuve; John F Wambaugh; Barbara A Wetmore; Antony J Williams
Journal:  Toxicol Sci       Date:  2019-06-01       Impact factor: 4.849

3.  The virtual cell based assay: Current status and future perspectives.

Authors:  Rabea Graepel; Lara Lamon; David Asturiol; Elisabet Berggren; Elisabeth Joossens; Alicia Paini; Pilar Prieto; Maurice Whelan; Andrew Worth
Journal:  Toxicol In Vitro       Date:  2017-01-18       Impact factor: 3.500

4.  Comprehensive Analyses and Prioritization of Tox21 10K Chemicals Affecting Mitochondrial Function by in-Depth Mechanistic Studies.

Authors:  Menghang Xia; Ruili Huang; Qiang Shi; Windy A Boyd; Jinghua Zhao; Nuo Sun; Julie R Rice; Paul E Dunlap; Amber J Hackstadt; Matt F Bridge; Marjolein V Smith; Sheng Dai; Wei Zheng; Pei-Hsuan Chu; David Gerhold; Kristine L Witt; Michael DeVito; Jonathan H Freedman; Christopher P Austin; Keith A Houck; Russell S Thomas; Richard S Paules; Raymond R Tice; Anton Simeonov
Journal:  Environ Health Perspect       Date:  2018-07-26       Impact factor: 9.031

5.  Nonanimal Models for Acute Toxicity Evaluations: Applying Data-Driven Profiling and Read-Across.

Authors:  Daniel P Russo; Judy Strickland; Agnes L Karmaus; Wenyi Wang; Sunil Shende; Thomas Hartung; Lauren M Aleksunes; Hao Zhu
Journal:  Environ Health Perspect       Date:  2019-04       Impact factor: 9.031

  5 in total

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