Literature DB >> 20143881

Impact of environmental chemicals on key transcription regulators and correlation to toxicity end points within EPA's ToxCast program.

Matthew T Martin1, David J Dix, Richard S Judson, Robert J Kavlock, David M Reif, Ann M Richard, Daniel M Rotroff, Sergei Romanov, Alexander Medvedev, Natalia Poltoratskaya, Maria Gambarian, Matt Moeser, Sergei S Makarov, Keith A Houck.   

Abstract

Exposure to environmental chemicals adds to the burden of disease in humans and wildlife to a degree that is difficult to estimate and, thus, mitigate. The ability to assess the impact of existing chemicals for which little to no toxicity data are available or to foresee such effects during early stages of chemical development and use, and before potential exposure occurs, is a pressing need. However, the capacity of the current toxicity evaluation approaches to meet this demand is limited by low throughput and high costs. In the context of EPA's ToxCast project, we have evaluated a novel cellular biosensor system (Factorial (1) ) that enables rapid, high-content assessment of a compound's impact on gene regulatory networks. The Factorial biosensors combined libraries of cis- and trans-regulated transcription factor reporter constructs with a highly homogeneous method of detection enabling simultaneous evaluation of multiplexed transcription factor activities. Here, we demonstrate the application of the technology toward determining bioactivity profiles by quantitatively evaluating the effects of 309 environmental chemicals on 25 nuclear receptors and 48 transcription factor response elements. We demonstrate coherent transcription factor activity across nuclear receptors and their response elements and that Nrf2 activity, a marker of oxidative stress, is highly correlated to the overall promiscuity of a chemical. Additionally, as part of the ToxCast program, we identify molecular targets that associate with in vivo end points and represent modes of action that can serve as potential toxicity pathway biomarkers and inputs for predictive modeling of in vivo toxicity.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20143881     DOI: 10.1021/tx900325g

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


  57 in total

1.  Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data.

Authors:  Ivan Rusyn; Alexander Sedykh; Yen Low; Kathryn Z Guyton; Alexander Tropsha
Journal:  Toxicol Sci       Date:  2012-03-02       Impact factor: 4.849

2.  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

3.  Inhibitory effects of azole-type fungicides on interleukin-17 gene expression via retinoic acid receptor-related orphan receptors α and γ.

Authors:  Hiroyuki Kojima; Ryuta Muromoto; Miki Takahashi; Shinji Takeuchi; Yukimasa Takeda; Anton M Jetten; Tadashi Matsuda
Journal:  Toxicol Appl Pharmacol       Date:  2012-01-24       Impact factor: 4.219

4.  Identification of Environmental Quaternary Ammonium Compounds as Direct Inhibitors of Cholesterol Biosynthesis.

Authors:  Josi Herron; Rosalyn C Reese; Keri A Tallman; Rohini Narayanaswamy; Ned A Porter; Libin Xu
Journal:  Toxicol Sci       Date:  2016-02-26       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.  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

7.  Screening the ToxCast Phase 1, Phase 2, and e1k Chemical Libraries for Inhibitors of Iodothyronine Deiodinases.

Authors:  Jennifer H Olker; Joseph J Korte; Jeffrey S Denny; Phillip C Hartig; Mary C Cardon; Carsten N Knutsen; Paige M Kent; Jessica P Christensen; Sigmund J Degitz; Michael W Hornung
Journal:  Toxicol Sci       Date:  2019-04-01       Impact factor: 4.849

8.  Quantitative high-throughput screening for chemical toxicity in a population-based in vitro model.

Authors:  Eric F Lock; Nour Abdo; Ruili Huang; Menghang Xia; Oksana Kosyk; Shannon H O'Shea; Yi-Hui Zhou; Alexander Sedykh; Alexander Tropsha; Christopher P Austin; Raymond R Tice; Fred A Wright; Ivan Rusyn
Journal:  Toxicol Sci       Date:  2012-01-19       Impact factor: 4.849

9.  Therapeutic suppression of pulmonary neutrophilia and allergic airway hyperresponsiveness by a RORγt inverse agonist.

Authors:  Gregory S Whitehead; Hong Soon Kang; Seddon Y Thomas; Alexander Medvedev; Tadeusz P Karcz; Gentaro Izumi; Keiko Nakano; Sergei S Makarov; Hideki Nakano; Anton M Jetten; Donald N Cook
Journal:  JCI Insight       Date:  2019-06-11

10.  How similar is similar enough? A sufficient similarity case study with Ginkgo biloba extract.

Authors:  Natasha R Catlin; Bradley J Collins; Scott S Auerbach; Stephen S Ferguson; James M Harnly; Chris Gennings; Suramya Waidyanatha; Glenn E Rice; Stephanie L Smith-Roe; Kristine L Witt; Cynthia V Rider
Journal:  Food Chem Toxicol       Date:  2018-05-09       Impact factor: 6.023

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.