Literature DB >> 24684691

In vitro and modelling approaches to risk assessment from the U.S. Environmental Protection Agency ToxCast programme.

Richard Judson1, Keith Houck, Matt Martin, Thomas Knudsen, Russell S Thomas, Nisha Sipes, Imran Shah, John Wambaugh, Kevin Crofton.   

Abstract

A significant challenge in toxicology is the 'too many chemicals' problem. Human beings and environmental species are exposed to tens of thousands of chemicals, only a small percentage of which have been tested thoroughly using standard in vivo test methods. This study reviews several approaches that are being developed to deal with this problem by the U.S. Environmental Protection Agency, under the umbrella of the ToxCast programme (http://epa.gov/ncct/toxcast/). The overall approach is broken into seven tasks: (i) identifying biological pathways that, when perturbed, can lead to toxicity; (ii) developing high-throughput in vitro assays to test chemical perturbations of these pathways; (iii) identifying the universe of chemicals with likely human or ecological exposure; (iv) testing as many of these chemicals as possible in the relevant in vitro assays; (v) developing hazard models that take the results of these tests and identify chemicals as being potential toxicants; (vi) generating toxicokinetics data on these chemicals to predict the doses at which these hazard pathways would be activated; and (vii) developing exposure models to identify chemicals for which these hazardous dose levels could be achieved. This overall strategy is described and briefly illustrated with recent examples from the ToxCast programme. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.

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Year:  2014        PMID: 24684691     DOI: 10.1111/bcpt.12239

Source DB:  PubMed          Journal:  Basic Clin Pharmacol Toxicol        ISSN: 1742-7835            Impact factor:   4.080


  39 in total

1.  Moving Toward Integrating Gene Expression Profiling Into High-Throughput Testing: A Gene Expression Biomarker Accurately Predicts Estrogen Receptor α Modulation in a Microarray Compendium.

Authors:  Natalia Ryan; Brian Chorley; Raymond R Tice; Richard Judson; J Christopher Corton
Journal:  Toxicol Sci       Date:  2016-02-10       Impact factor: 4.849

2.  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

Review 3.  Progress in data interoperability to support computational toxicology and chemical safety evaluation.

Authors:  Sean Watford; Stephen Edwards; Michelle Angrish; Richard S Judson; Katie Paul Friedman
Journal:  Toxicol Appl Pharmacol       Date:  2019-08-09       Impact factor: 4.219

4.  Determination of chemical-disease risk values to prioritize connections between environmental factors, genetic variants, and human diseases.

Authors:  Marissa B Kosnik; David M Reif
Journal:  Toxicol Appl Pharmacol       Date:  2019-07-16       Impact factor: 4.219

5.  Workflow for defining reference chemicals for assessing performance of in vitro assays.

Authors:  Richard S Judson; Russell S Thomas; Nancy Baker; Anita Simha; Xia Meng Howey; Carmen Marable; Nicole C Kleinstreuer; Keith A Houck
Journal:  ALTEX       Date:  2018-12-17       Impact factor: 6.043

Review 6.  Neural organoids for disease phenotyping, drug screening and developmental biology studies.

Authors:  Brigham J Hartley; Kristen J Brennand
Journal:  Neurochem Int       Date:  2016-10-12       Impact factor: 3.921

7.  Human pluripotent stem cell-derived neural constructs for predicting neural toxicity.

Authors:  Michael P Schwartz; Zhonggang Hou; Nicholas E Propson; Jue Zhang; Collin J Engstrom; Vitor Santos Costa; Peng Jiang; Bao Kim Nguyen; Jennifer M Bolin; William Daly; Yu Wang; Ron Stewart; C David Page; William L Murphy; James A Thomson
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-21       Impact factor: 11.205

8.  Application of a combined aggregate exposure pathway and adverse outcome pathway (AEP-AOP) approach to inform a cumulative risk assessment: A case study with phthalates.

Authors:  Rebecca A Clewell; Jeremy A Leonard; Chantel I Nicolas; Jerry L Campbell; Miyoung Yoon; Alina Y Efremenko; Patrick D McMullen; Melvin E Andersen; Harvey J Clewell; Katherine A Phillips; Yu-Mei Tan
Journal:  Toxicol In Vitro       Date:  2020-04-08       Impact factor: 3.500

9.  Differentiating Pathway-Specific From Nonspecific Effects in High-Throughput Toxicity Data: A Foundation for Prioritizing Adverse Outcome Pathway Development.

Authors:  Kellie A Fay; Daniel L Villeneuve; Joe Swintek; Stephen W Edwards; Mark D Nelms; Brett R Blackwell; Gerald T Ankley
Journal:  Toxicol Sci       Date:  2018-06-01       Impact factor: 4.849

10.  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

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