Literature DB >> 22519603

Update on EPA's ToxCast program: providing high throughput decision support tools for chemical risk management.

Robert Kavlock1, Kelly Chandler, Keith Houck, Sid Hunter, Richard Judson, Nicole Kleinstreuer, Thomas Knudsen, Matt Martin, Stephanie Padilla, David Reif, Ann Richard, Daniel Rotroff, Nisha Sipes, David Dix.   

Abstract

The field of toxicology is on the cusp of a major transformation in how the safety and hazard of chemicals are evaluated for potential effects on human health and the environment. Brought on by the recognition of the limitations of the current paradigm in terms of cost, time, and throughput, combined with the ever increasing power of modern biological tools to probe mechanisms of chemical-biological interactions at finer and finer resolutions, 21st century toxicology is rapidly taking shape. A key element of the new approach is a focus on the molecular and cellular pathways that are the targets of chemical interactions. By understanding toxicity in this manner, we begin to learn how chemicals cause toxicity, as opposed to merely what diseases or health effects they might cause. This deeper understanding leads to increasing confidence in identifying which populations might be at risk, significant susceptibility factors, and key influences on the shape of the dose-response curve. The U. S. Environmental Protection Agency (EPA) initiated the ToxCast, or "toxicity forecaster", program 5 years ago to gain understanding of the strengths and limitations of the new approach by starting to test relatively large numbers (hundreds) of chemicals against an equally large number of biological assays. Using computational approaches, the EPA is building decision support tools based on ToxCast in vitro screening results to help prioritize chemicals for further investigation, as well as developing predictive models for a number of health outcomes. This perspective provides a summary of the initial, proof of concept, Phase I of ToxCast that has laid the groundwork for the next phases and future directions of the program.

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Year:  2012        PMID: 22519603     DOI: 10.1021/tx3000939

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


  157 in total

1.  Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor.

Authors:  Richard S Judson; Felicia Maria Magpantay; Vijay Chickarmane; Cymra Haskell; Nessy Tania; Jean Taylor; Menghang Xia; Ruili Huang; Daniel M Rotroff; Dayne L Filer; Keith A Houck; Matthew T Martin; Nisha Sipes; Ann M Richard; Kamel Mansouri; R Woodrow Setzer; Thomas B Knudsen; Kevin M Crofton; Russell S Thomas
Journal:  Toxicol Sci       Date:  2015-08-13       Impact factor: 4.849

Review 2.  Applying evolutionary genetics to developmental toxicology and risk assessment.

Authors:  Maxwell C K Leung; Andrew C Procter; Jared V Goldstone; Jonathan Foox; Robert DeSalle; Carolyn J Mattingly; Mark E Siddall; Alicia R Timme-Laragy
Journal:  Reprod Toxicol       Date:  2017-03-04       Impact factor: 3.143

3.  QSAR modeling: where have you been? Where are you going to?

Authors:  Artem Cherkasov; Eugene N Muratov; Denis Fourches; Alexandre Varnek; Igor I Baskin; Mark Cronin; John Dearden; Paola Gramatica; Yvonne C Martin; Roberto Todeschini; Viviana Consonni; Victor E Kuz'min; Richard Cramer; Romualdo Benigni; Chihae Yang; James Rathman; Lothar Terfloth; Johann Gasteiger; Ann Richard; Alexander Tropsha
Journal:  J Med Chem       Date:  2014-01-06       Impact factor: 7.446

4.  High-Content Analysis Provides Mechanistic Insights into the Testicular Toxicity of Bisphenol A and Selected Analogues in Mouse Spermatogonial Cells.

Authors:  Shenxuan Liang; Lei Yin; Kevin Shengyang Yu; Marie-Claude Hofmann; Xiaozhong Yu
Journal:  Toxicol Sci       Date:  2016-09-14       Impact factor: 4.849

Review 5.  Chemical compounds from anthropogenic environment and immune evasion mechanisms: potential interactions.

Authors:  Julia Kravchenko; Emanuela Corsini; Marc A Williams; William Decker; Masoud H Manjili; Takemi Otsuki; Neetu Singh; Faha Al-Mulla; Rabeah Al-Temaimi; Amedeo Amedei; Anna Maria Colacci; Monica Vaccari; Chiara Mondello; A Ivana Scovassi; Jayadev Raju; Roslida A Hamid; Lorenzo Memeo; Stefano Forte; Rabindra Roy; Jordan Woodrick; Hosni K Salem; Elizabeth P Ryan; Dustin G Brown; William H Bisson; Leroy Lowe; H Kim Lyerly
Journal:  Carcinogenesis       Date:  2015-05-22       Impact factor: 4.944

6.  FutureTox II: in vitro data and in silico models for predictive toxicology.

Authors:  Thomas B Knudsen; Douglas A Keller; Miriam Sander; Edward W Carney; Nancy G Doerrer; David L Eaton; Suzanne Compton Fitzpatrick; Kenneth L Hastings; Donna L Mendrick; Raymond R Tice; Paul B Watkins; Maurice Whelan
Journal:  Toxicol Sci       Date:  2015-02       Impact factor: 4.849

7.  Predicting the future: opportunities and challenges for the chemical industry to apply 21st-century toxicity testing.

Authors:  Raja S Settivari; Nicholas Ball; Lynea Murphy; Reza Rasoulpour; Darrell R Boverhof; Edward W Carney
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-03       Impact factor: 1.232

8.  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

9.  Evidence for Cross Species Extrapolation of Mammalian-Based High-Throughput Screening Assay Results.

Authors:  Carlie A LaLone; Daniel L Villeneuve; Jon A Doering; Brett R Blackwell; Thomas R Transue; Cody W Simmons; Joe Swintek; Sigmund J Degitz; Antony J Williams; Gerald T Ankley
Journal:  Environ Sci Technol       Date:  2018-11-13       Impact factor: 9.028

10.  High-throughput exposure modeling to support prioritization of chemicals in personal care products.

Authors:  Susan A Csiszar; Alexi S Ernstoff; Peter Fantke; David E Meyer; Olivier Jolliet
Journal:  Chemosphere       Date:  2016-08-24       Impact factor: 7.086

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