Literature DB >> 22104386

The exposure data landscape for manufactured chemicals.

Peter P Egeghy1, Richard Judson, Sumit Gangwal, Shad Mosher, Doris Smith, James Vail, Elaine A Cohen Hubal.   

Abstract

The U.S. Environmental Protection Agency is developing chemical screening and prioritization programs to evaluate environmental chemicals for potential risk to human health in a rapid and efficient manner. As part of these efforts, it is important to catalog available information on chemical toxicity and exposure from widely dispersed sources. The main objective of this analysis is to define important aspects of the exposure space and to catalog the available exposure information for chemicals being considered for analysis as part of the U.S. EPA ToxCast™ screening and prioritization program. Publicly available exposure data have been extracted into ACToR (Aggregated Computational Toxicology Resource), which combines information for hundreds of thousands of chemicals from >600 public sources. We use data from ACToR to assess the exposure data landscape for environmental chemicals. Of the roughly 100,000 chemicals that have at least limited toxicity information available, less than one-fifth also have exposure information - and for most of these the information is of limited utility (e.g., production volume). Readily accessible data on concentrations in exposure-related media are only available for a much smaller fraction. Among these, the largest number of chemicals is measured in water with over 1150 unique compounds, followed by 788 substances measured in soil, and 670 in air. These small numbers clearly reflect a focus of resources on those substances previously identified as possibly posing a hazard to human health. Exposure to a much broader number of chemicals will need to be measured in order to fully realize the envisioned goal of using exposure information to guide toxicity testing. Published by Elsevier B.V.

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Year:  2011        PMID: 22104386     DOI: 10.1016/j.scitotenv.2011.10.046

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  57 in total

Review 1.  Developing novel in vitro methods for the risk assessment of developmental and placental toxicants in the environment.

Authors:  Rebecca C Fry; Jacqueline Bangma; John Szilagyi; Julia E Rager
Journal:  Toxicol Appl Pharmacol       Date:  2019-06-22       Impact factor: 4.219

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.  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

5.  FutureTox III: Bridges for Translation.

Authors:  Daland R Juberg; Thomas B Knudsen; Miriam Sander; Nancy B Beck; Elaine M Faustman; Donna L Mendrick; John R Fowle; Thomas Hartung; Raymond R Tice; Emmanuel Lemazurier; Richard A Becker; Suzanne Compton Fitzpatrick; George P Daston; Alison Harrill; Ronald N Hines; Douglas A Keller; John C Lipscomb; David Watson; Tina Bahadori; Kevin M Crofton
Journal:  Toxicol Sci       Date:  2016-10-25       Impact factor: 4.849

6.  Predicting chemically-induced skin reactions. Part I: QSAR models of skin sensitization and their application to identify potentially hazardous compounds.

Authors:  Vinicius M Alves; Eugene Muratov; Denis Fourches; Judy Strickland; Nicole Kleinstreuer; Carolina H Andrade; Alexander Tropsha
Journal:  Toxicol Appl Pharmacol       Date:  2015-01-03       Impact factor: 4.219

Review 7.  Molecular mechanisms of the preventable causes of cancer in the United States.

Authors:  Erica A Golemis; Paul Scheet; Tim N Beck; Eward M Scolnick; David J Hunter; Ernest Hawk; Nancy Hopkins
Journal:  Genes Dev       Date:  2018-06-26       Impact factor: 11.361

Review 8.  Review of the environmental prenatal exposome and its relationship to maternal and fetal health.

Authors:  Julia E Rager; Jacqueline Bangma; Celeste Carberry; Alex Chao; Jarod Grossman; Kun Lu; Tracy A Manuck; Jon R Sobus; John Szilagyi; Rebecca C Fry
Journal:  Reprod Toxicol       Date:  2020-02-23       Impact factor: 3.143

9.  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

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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