Literature DB >> 30835285

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

Russell S Thomas1, Tina Bahadori2, Timothy J Buckley3, John Cowden1, Chad Deisenroth1, Kathie L Dionisio3, Jeffrey B Frithsen4, Christopher M Grulke1, Maureen R Gwinn1, Joshua A Harrill1, Mark Higuchi5, Keith A Houck1, Michael F Hughes5, E Sidney Hunter5, Kristin K Isaacs3, Richard S Judson1, Thomas B Knudsen1, Jason C Lambert6, Monica Linnenbrink1, Todd M Martin7, Seth R Newton3, Stephanie Padilla5, Grace Patlewicz1, Katie Paul-Friedman1, Katherine A Phillips3, Ann M Richard1, Reeder Sams1, Timothy J Shafer5, R Woodrow Setzer1, Imran Shah1, Jane E Simmons5, Steven O Simmons1, Amar Singh1, Jon R Sobus3, Mark Strynar3, Adam Swank3, Rogelio Tornero-Valez3, Elin M Ulrich3, Daniel L Villeneuve8, John F Wambaugh1, Barbara A Wetmore3, Antony J Williams1.   

Abstract

The U.S. Environmental Protection Agency (EPA) is faced with the challenge of efficiently and credibly evaluating chemical safety often with limited or no available toxicity data. The expanding number of chemicals found in commerce and the environment, coupled with time and resource requirements for traditional toxicity testing and exposure characterization, continue to underscore the need for new approaches. In 2005, EPA charted a new course to address this challenge by embracing computational toxicology (CompTox) and investing in the technologies and capabilities to push the field forward. The return on this investment has been demonstrated through results and applications across a range of human and environmental health problems, as well as initial application to regulatory decision-making within programs such as the EPA's Endocrine Disruptor Screening Program. The CompTox initiative at EPA is more than a decade old. This manuscript presents a blueprint to guide the strategic and operational direction over the next 5 years. The primary goal is to obtain broader acceptance of the CompTox approaches for application to higher tier regulatory decisions, such as chemical assessments. To achieve this goal, the blueprint expands and refines the use of high-throughput and computational modeling approaches to transform the components in chemical risk assessment, while systematically addressing key challenges that have hindered progress. In addition, the blueprint outlines additional investments in cross-cutting efforts to characterize uncertainty and variability, develop software and information technology tools, provide outreach and training, and establish scientific confidence for application to different public health and environmental regulatory decisions. Published by Oxford University Press on behalf of the Society of Toxicology 2019.

Entities:  

Keywords:  ExpoCast; Tox21; ToxCast; cheminformatics; computational toxicology; exposure; high-throughput assays; predictive toxicology; risk assessment; toxicokinetics

Mesh:

Year:  2019        PMID: 30835285      PMCID: PMC6542711          DOI: 10.1093/toxsci/kfz058

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


  112 in total

1.  The ToxCast program for prioritizing toxicity testing of environmental chemicals.

Authors:  David J Dix; Keith A Houck; Matthew T Martin; Ann M Richard; R Woodrow Setzer; Robert J Kavlock
Journal:  Toxicol Sci       Date:  2006-09-08       Impact factor: 4.849

2.  Toxicokinetic Triage for Environmental Chemicals.

Authors:  John F Wambaugh; Barbara A Wetmore; Robert Pearce; Cory Strope; Rocky Goldsmith; James P Sluka; Alexander Sedykh; Alex Tropsha; Sieto Bosgra; Imran Shah; Richard Judson; Russell S Thomas; R Woodrow Setzer
Journal:  Toxicol Sci       Date:  2015-06-16       Impact factor: 4.849

3.  Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms.

Authors:  Nicole C Kleinstreuer; Jian Yang; Ellen L Berg; Thomas B Knudsen; Ann M Richard; Matthew T Martin; David M Reif; Richard S Judson; Mark Polokoff; David J Dix; Robert J Kavlock; Keith A Houck
Journal:  Nat Biotechnol       Date:  2014-05-18       Impact factor: 54.908

4.  ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology.

Authors:  Ann M Richard; Richard S Judson; Keith A Houck; Christopher M Grulke; Patra Volarath; Inthirany Thillainadarajah; Chihae Yang; James Rathman; Matthew T Martin; John F Wambaugh; Thomas B Knudsen; Jayaram Kancherla; Kamel Mansouri; Grace Patlewicz; Antony J Williams; Stephen B Little; Kevin M Crofton; Russell S Thomas
Journal:  Chem Res Toxicol       Date:  2016-07-20       Impact factor: 3.739

5.  Predicting hepatotoxicity using ToxCast in vitro bioactivity and chemical structure.

Authors:  Jie Liu; Kamel Mansouri; Richard S Judson; Matthew T Martin; Huixiao Hong; Minjun Chen; Xiaowei Xu; Russell S Thomas; Imran Shah
Journal:  Chem Res Toxicol       Date:  2015-03-09       Impact factor: 3.739

6.  Profiling the activity of environmental chemicals in prenatal developmental toxicity studies using the U.S. EPA's ToxRefDB.

Authors:  Thomas B Knudsen; Matthew T Martin; Robert J Kavlock; Richard S Judson; David J Dix; Amar V Singh
Journal:  Reprod Toxicol       Date:  2009-04-10       Impact factor: 3.143

7.  Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes.

Authors:  Mark-Anthony Bray; Shantanu Singh; Han Han; Chadwick T Davis; Blake Borgeson; Cathy Hartland; Maria Kost-Alimova; Sigrun M Gustafsdottir; Christopher C Gibson; Anne E Carpenter
Journal:  Nat Protoc       Date:  2016-08-25       Impact factor: 13.491

8.  Computational modeling and simulation of genital tubercle development.

Authors:  Maxwell C K Leung; M Shane Hutson; Ashley W Seifert; Richard M Spencer; Thomas B Knudsen
Journal:  Reprod Toxicol       Date:  2016-05-11       Impact factor: 3.143

9.  Use of in vitro HTS-derived concentration-response data as biological descriptors improves the accuracy of QSAR models of in vivo toxicity.

Authors:  Alexander Sedykh; Hao Zhu; Hao Tang; Liying Zhang; Ann Richard; Ivan Rusyn; Alexander Tropsha
Journal:  Environ Health Perspect       Date:  2010-10-27       Impact factor: 9.031

10.  Identifying Chemical Groups for Biomonitoring.

Authors:  Gail Krowech; Sara Hoover; Laurel Plummer; Martha Sandy; Lauren Zeise; Gina Solomon
Journal:  Environ Health Perspect       Date:  2016-12-01       Impact factor: 9.031

View more
  68 in total

1.  Embracing Systems Toxicology at Single-Cell Resolution.

Authors:  Qiang Zhang; W Michael Caudle; Jingbo Pi; Sudin Bhattacharya; Melvin E Andersen; Norbert E Kaminski; Rory B Conolly
Journal:  Curr Opin Toxicol       Date:  2019-04-19

2.  Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens.

Authors:  Thomas Hill; John Rooney; Jaleh Abedini; Hisham El-Masri; Charles E Wood; J Christopher Corton
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

3.  Enhancing life cycle chemical exposure assessment through ontology modeling.

Authors:  David E Meyer; Sidney C Bailin; Daniel Vallero; Peter P Egeghy; Shi V Liu; Elaine A Cohen Hubal
Journal:  Sci Total Environ       Date:  2019-12-27       Impact factor: 7.963

4.  Application of the hard and soft, acids and bases (HSAB) theory as a method to predict cumulative neurotoxicity.

Authors:  Fjodor Melnikov; Brian C Geohagen; Terrence Gavin; Richard M LoPachin; Paul T Anastas; Phillip Coish; David W Herr
Journal:  Neurotoxicology       Date:  2020-05-05       Impact factor: 4.294

5.  Development of an In Vitro Human Thyroid Microtissue Model for Chemical Screening.

Authors:  Chad Deisenroth; Valerie Y Soldatow; Jermaine Ford; Wendy Stewart; Cassandra Brinkman; Edward L LeCluyse; Denise K MacMillan; Russell S Thomas
Journal:  Toxicol Sci       Date:  2020-03-01       Impact factor: 4.849

6.  Evaluation of potential sodium-iodide symporter (NIS) inhibitors using a secondary Fischer rat thyroid follicular cell (FRTL-5) radioactive iodide uptake (RAIU) assay.

Authors:  Angela R Buckalew; Jun Wang; Ashley S Murr; Chad Deisenroth; Wendy M Stewart; Tammy E Stoker; Susan C Laws
Journal:  Arch Toxicol       Date:  2020-02-17       Impact factor: 5.153

7.  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

8.  Examining NTA performance and potential using fortified and reference house dust as part of EPA's Non-Targeted Analysis Collaborative Trial (ENTACT).

Authors:  Seth R Newton; Jon R Sobus; Elin M Ulrich; Randolph R Singh; Alex Chao; James McCord; Sarah Laughlin-Toth; Mark Strynar
Journal:  Anal Bioanal Chem       Date:  2020-04-25       Impact factor: 4.142

Review 9.  FutureTox IV Workshop Summary: Predictive Toxicology for Healthy Children.

Authors:  Thomas B Knudsen; Suzanne Compton Fitzpatrick; K Nadira De Abrew; Linda S Birnbaum; Anne Chappelle; George P Daston; Dana C Dolinoy; Alison Elder; Susan Euling; Elaine M Faustman; Kristi Pullen Fedinick; Jill A Franzosa; Derik E Haggard; Laurie Haws; Nicole C Kleinstreuer; Germaine M Buck Louis; Donna L Mendrick; Ruthann Rudel; Katerine S Saili; Thaddeus T Schug; Robyn L Tanguay; Alexandra E Turley; Barbara A Wetmore; Kimberly W White; Todd J Zurlinden
Journal:  Toxicol Sci       Date:  2021-04-12       Impact factor: 4.849

10.  In vitro screening for chemical inhibition of the iodide recycling enzyme, iodotyrosine deiodinase.

Authors:  Jennifer H Olker; Joseph J Korte; Jeffrey S Denny; Jonathan T Haselman; Phillip C Hartig; Mary C Cardon; Michael W Hornung; Sigmund J Degitz
Journal:  Toxicol In Vitro       Date:  2020-12-29       Impact factor: 3.500

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.