Literature DB >> 26505644

Analysis of the ToxCast Chemical-Assay Space Using the Comparative Toxicogenomics Database.

Bingjie Hu1, Eric Gifford1, Huijun Wang2, Wendy Bailey3, Timothy Johnson3.   

Abstract

Many studies have attempted to predict in vivo hazards based on the ToxCast in vitro assay results with the goal of using these predictions to prioritize compounds for conventional toxicity testing. Most of these conventional studies rely on in vivo end points observed using preclinical species (e.g., mice and rats). Although the preclinical animal studies provide valuable insights, there can often be significant disconnects between these studies and safety concerns in humans. One way to address these concerns, for an admittedly more limited set of compounds, is to explore relationships between the in vitro data from human cell lines and observations from human related studies. The Comparative Toxicogenomics Database (CTD; http://ctdbase.org ) is a rich source of data linking chemicals to human diseases/adverse events and pathways. In this study we explored the relationships between ToxCast chemicals, their ToxCast in vitro test results, and their annotations of human disease/adverse event end points as captured in the CTD database. We mined these associations to identify potentially interesting, statistically significant in vitro assay and in vivo toxicity correlations. To the best of our knowledge, this is one of the first studies analyzing the relationships between the ToxCast in vitro assays results and the CTD disease/adverse event end point annotations. The in vitro profiles identified in this analysis may prove useful for prioritizing compounds for toxicity testing, suggesting mechanisms of toxicity, and forecasting potential in vivo human drug induced injury.

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Year:  2015        PMID: 26505644     DOI: 10.1021/acs.chemrestox.5b00369

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


  3 in total

1.  Advancing Exposure Science through Chemical Data Curation and Integration in the Comparative Toxicogenomics Database.

Authors:  Cynthia J Grondin; Allan Peter Davis; Thomas C Wiegers; Benjamin L King; Jolene A Wiegers; David M Reif; Jane A Hoppin; Carolyn J Mattingly
Journal:  Environ Health Perspect       Date:  2016-05-12       Impact factor: 9.031

2.  Cytotoxicity Burst? Differentiating Specific from Nonspecific Effects in Tox21 in Vitro Reporter Gene Assays.

Authors:  Beate I Escher; Luise Henneberger; Maria König; Rita Schlichting; Fabian C Fischer
Journal:  Environ Health Perspect       Date:  2020-07-23       Impact factor: 9.031

3.  T1000: a reduced gene set prioritized for toxicogenomic studies.

Authors:  Othman Soufan; Jessica Ewald; Charles Viau; Doug Crump; Markus Hecker; Niladri Basu; Jianguo Xia
Journal:  PeerJ       Date:  2019-10-29       Impact factor: 2.984

  3 in total

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