Literature DB >> 29600706

Accelerating the Pace of Chemical Risk Assessment.

Robert J Kavlock1, Tina Bahadori1, Tara S Barton-Maclaren2, Maureen R Gwinn1, Mike Rasenberg3, Russell S Thomas4.   

Abstract

Changes in chemical regulations worldwide have increased the demand for new data on chemical safety. New approach methodologies (NAMs) are defined broadly here as including in silico approaches and in chemico and in vitro assays, as well as the inclusion of information from the exposure of chemicals in the context of hazard [European Chemicals Agency, " New Approach Methodologies in Regulatory Science ", 2016]. NAMs for toxicity testing, including alternatives to animal testing approaches, have shown promise to provide a large amount of data to fill information gaps in both hazard and exposure. In order to increase experience with the new data and to advance the applications of NAM data to evaluate the safety of data-poor chemicals, demonstration case studies have to be developed to build confidence in their usability. Case studies can be used to explore the domains of applicability of the NAM data and identify areas that would benefit from further research, development, and application. To ensure that this science evolves with direct input from and engagement by risk managers and regulatory decision makers, a workshop was convened among senior leaders from international regulatory agencies to identify common barriers for using NAMs and to propose next steps to address them. Central to the workshop were a series of collaborative case studies designed to explore areas where the benefits of NAM data could be demonstrated. These included use of in vitro bioassays data in combination with exposure estimates to derive a quantitative assessment of risk, use of NAMs for updating chemical categorizations, and use of NAMs to increase understanding of exposure and human health toxicity of various chemicals. The case study approach proved effective in building collaborations and engagement with regulatory decision makers and to promote the importance of data and knowledge sharing among international regulatory agencies. The case studies will be continued to explore new ways of describing hazard (i.e., pathway perturbations as a measure of adversity) and new ways of describing risk (i.e., using NAMs to identify protective levels without necessarily being predictive of a specific hazard). Importantly, the case studies also highlighted the need for increased training and communication across the various communities including the risk assessors, regulators, stakeholders (e.g., industry, non-governmental organizations), and the general public. The development and application of NAMs will play an increasing role in filling important data gaps on the safety of chemicals, but confidence in NAMs will only come with learning by doing and sharing in the experience.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29600706      PMCID: PMC6666390          DOI: 10.1021/acs.chemrestox.7b00339

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  32 in total

1.  Homology models of mouse and rat estrogen receptor-α ligand-binding domain created by in silico mutagenesis of a human template: molecular docking with 17ß-estradiol, diethylstilbestrol, and paraben analogs.

Authors:  Thomas L Gonzalez; James M Rae; Justin A Colacino; Rudy J Richardson
Journal:  Comput Toxicol       Date:  2018-11-28

Review 2.  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

3.  Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways.

Authors:  Caroline L Ring; Jon A Arnot; Deborah H Bennett; Peter P Egeghy; Peter Fantke; Lei Huang; Kristin K Isaacs; Olivier Jolliet; Katherine A Phillips; Paul S Price; Hyeong-Moo Shin; John N Westgate; R Woodrow Setzer; John F Wambaugh
Journal:  Environ Sci Technol       Date:  2018-12-24       Impact factor: 9.028

4.  Predicting estrogen receptor activation by a group of substituted phenols: An integrated approach to testing and assessment case study.

Authors:  Francina Webster; Matthew Gagné; Grace Patlewicz; Prachi Pradeep; Nicholas Trefiak; Richard S Judson; Tara S Barton-Maclaren
Journal:  Regul Toxicol Pharmacol       Date:  2019-05-20       Impact factor: 3.271

5.  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

6.  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

7.  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

8.  Considerations for Strategic Use of High-Throughput Transcriptomics Chemical Screening Data in Regulatory Decisions.

Authors:  Joshua Harrill; Imran Shah; R Woodrow Setzer; Derik Haggard; Scott Auerbach; Richard Judson; Russell S Thomas
Journal:  Curr Opin Toxicol       Date:  2019

9.  Utility of In Vitro Bioactivity as a Lower Bound Estimate of In Vivo Adverse Effect Levels and in Risk-Based Prioritization.

Authors:  Katie Paul Friedman; Matthew Gagne; Lit-Hsin Loo; Panagiotis Karamertzanis; Tatiana Netzeva; Tomasz Sobanski; Jill A Franzosa; Ann M Richard; Ryan R Lougee; Andrea Gissi; Jia-Ying Joey Lee; Michelle Angrish; Jean Lou Dorne; Stiven Foster; Kathleen Raffaele; Tina Bahadori; Maureen R Gwinn; Jason Lambert; Maurice Whelan; Mike Rasenberg; Tara Barton-Maclaren; Russell S Thomas
Journal:  Toxicol Sci       Date:  2020-01-01       Impact factor: 4.849

Review 10.  Assessing Human Exposure to SVOCs in Materials, Products, and Articles: A Modular Mechanistic Framework.

Authors:  Clara M A Eichler; Elaine A Cohen Hubal; Ying Xu; Jianping Cao; Chenyang Bi; Charles J Weschler; Tunga Salthammer; Glenn C Morrison; Antti Joonas Koivisto; Yinping Zhang; Corinne Mandin; Wenjuan Wei; Patrice Blondeau; Dustin Poppendieck; Xiaoyu Liu; Christiaan J E Delmaar; Peter Fantke; Olivier Jolliet; Hyeong-Moo Shin; Miriam L Diamond; Manabu Shiraiwa; Andreas Zuend; Philip K Hopke; Natalie von Goetz; Markku Kulmala; John C Little
Journal:  Environ Sci Technol       Date:  2020-12-15       Impact factor: 9.028

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.