Literature DB >> 26812473

Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring.

Julia E Rager1, Mark J Strynar2, Shuang Liang1, Rebecca L McMahen1, Ann M Richard3, Christopher M Grulke4, John F Wambaugh3, Kristin K Isaacs2, Richard Judson3, Antony J Williams3, Jon R Sobus5.   

Abstract

There is a growing need in the field of exposure science for monitoring methods that rapidly screen environmental media for suspect contaminants. Measurement and analysis platforms, based on high resolution mass spectrometry (HRMS), now exist to meet this need. Here we describe results of a study that links HRMS data with exposure predictions from the U.S. EPA's ExpoCast™ program and in vitro bioassay data from the U.S. interagency Tox21 consortium. Vacuum dust samples were collected from 56 households across the U.S. as part of the American Healthy Homes Survey (AHHS). Sample extracts were analyzed using liquid chromatography time-of-flight mass spectrometry (LC-TOF/MS) with electrospray ionization. On average, approximately 2000 molecular features were identified per sample (based on accurate mass) in negative ion mode, and 3000 in positive ion mode. Exact mass, isotope distribution, and isotope spacing were used to match molecular features with a unique listing of chemical formulas extracted from EPA's Distributed Structure-Searchable Toxicity (DSSTox) database. A total of 978 DSSTox formulas were consistent with the dust LC-TOF/molecular feature data (match score≥90); these formulas mapped to 3228 possible chemicals in the database. Correct assignment of a unique chemical to a given formula required additional validation steps. Each suspect chemical was prioritized for follow-up confirmation using abundance and detection frequency results, along with exposure and bioactivity estimates from ExpoCast and Tox21, respectively. Chemicals with elevated exposure and/or toxicity potential were further examined using a mixture of 100 chemical standards. A total of 33 chemicals were confirmed present in the dust samples by formula and retention time match; nearly half of these do not appear to have been associated with house dust in the published literature. Chemical matches found in at least 10 of the 56 dust samples include Piperine, N,N-Diethyl-m-toluamide (DEET), Triclocarban, Diethyl phthalate (DEP), Propylparaben, Methylparaben, Tris(1,3-dichloro-2-propyl)phosphate (TDCPP), and Nicotine. This study demonstrates a novel suspect screening methodology to prioritize chemicals of interest for subsequent targeted analysis. The methods described here rely on strategic integration of available public resources and should be considered in future non-targeted and suspect screening assessments of environmental and biological media. Published by Elsevier Ltd.

Entities:  

Keywords:  Dust; ExpoCast; Exposome; Non-targeted; Suspect screening; ToxCast

Mesh:

Substances:

Year:  2016        PMID: 26812473     DOI: 10.1016/j.envint.2015.12.008

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  55 in total

1.  EPA's non-targeted analysis collaborative trial (ENTACT): genesis, design, and initial findings.

Authors:  Elin M Ulrich; Jon R Sobus; Christopher M Grulke; Ann M Richard; Seth R Newton; Mark J Strynar; Kamel Mansouri; Antony J Williams
Journal:  Anal Bioanal Chem       Date:  2018-12-06       Impact factor: 4.142

2.  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

3.  High-throughput screening of chemicals as functional substitutes using structure-based classification models.

Authors:  Katherine A Phillips; John F Wambaugh; Christopher M Grulke; Kathie L Dionisio; Kristin K Isaacs
Journal:  Green Chem       Date:  2017       Impact factor: 10.182

4.  Use of high-throughput in vitro toxicity screening data in cancer hazard evaluations by IARC Monograph Working Groups.

Authors:  Weihsueh A Chiu; Kathryn Z Guyton; Matthew T Martin; David M Reif; Ivan Rusyn
Journal:  ALTEX       Date:  2017-07-24       Impact factor: 6.043

5.  Identifying populations sensitive to environmental chemicals by simulating toxicokinetic variability.

Authors:  Caroline L Ring; Robert G Pearce; R Woodrow Setzer; Barbara A Wetmore; John F Wambaugh
Journal:  Environ Int       Date:  2017-06-16       Impact factor: 9.621

6.  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

7.  Risk Characterization of Environmental Samples Using In Vitro Bioactivity and Polycyclic Aromatic Hydrocarbon Concentrations Data.

Authors:  Zunwei Chen; Dillon Lloyd; Yi-Hui Zhou; Weihsueh A Chiu; Fred A Wright; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2021-01-06       Impact factor: 4.849

8.  High-throughput dietary exposure predictions for chemical migrants from food contact substances for use in chemical prioritization.

Authors:  Derya Biryol; Chantel I Nicolas; John Wambaugh; Katherine Phillips; Kristin Isaacs
Journal:  Environ Int       Date:  2017-08-31       Impact factor: 9.621

Review 9.  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

10.  Fluorinated Compounds in U.S. Fast Food Packaging.

Authors:  Laurel A Schaider; Simona A Balan; Arlene Blum; David Q Andrews; Mark J Strynar; Margaret E Dickinson; David M Lunderberg; Johnsie R Lang; Graham F Peaslee
Journal:  Environ Sci Technol Lett       Date:  2017
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