Literature DB >> 19567883

Cellular stress response pathway system as a sentinel ensemble in toxicological screening.

Steven O Simmons1, Chun-Yang Fan, Ram Ramabhadran.   

Abstract

High costs, long test times, and societal concerns related to animal use have required the development of in vitro assays for the rapid and cost-effective toxicological evaluation and characterization of compounds in both the pharmaceutical and environmental arenas. Although the pharmaceutical industry has developed very effective, high-throughput in vitro assays for determining the therapeutic potential of compounds, the application of this approach to toxicological screening has been limited. A primary reason for this is that while drug candidate screens are directed to a specific target/mechanism, xenobiotics can cause toxicity through any of a myriad of undefined interactions with cellular components and processes. Given that it is not practical to design assays that can interrogate each potential toxicological target, an integrative approach is required if there is to be a rapid and low-cost toxicological evaluation of chemicals. Cellular stress response pathways offer a viable solution to the creation of a set of integrative assays as there is a limited and hence manageable set (a small ensemble of 10 or less) of major cellular stress response pathways through which cells mount a homoeostatic response to toxicants and which also participate in cell fate/death decisions. Further, over the past decades, these pathways have been well characterized at a molecular level thereby enabling the development of high-throughput cell-based assays using the components of the pathways. Utilization of the set of cellular stress response pathway-based assays as indicators of toxic interactions of chemicals with basic cellular machinery will potentially permit the clustering of chemicals based on biological response profiles of common mode of action (MOA) and also the inference of the specific MOA of a toxicant. This article reviews the biochemical characteristics of the stress response pathways, their common architecture that enables rapid activation during stress, their participation in cell fate decisions, the essential nature of these pathways to the organism, and the biochemical basis of their cross-talk that permits an assay ensemble screening approach. Subsequent sections describe how the stress pathway ensemble assay approach could be applied to screening potentially toxic compounds and discuss how this approach may be used to derive toxicant MOA from the biological activity profiles that the ensemble strategy provides. The article concludes with a review of the application of the stress assay concept to noninvasive in vivo assessments of chemical toxicants.

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Year:  2009        PMID: 19567883     DOI: 10.1093/toxsci/kfp140

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  74 in total

1.  Organotellurium and organoselenium compounds attenuate Mn-induced toxicity in Caenorhabditis elegans by preventing oxidative stress.

Authors:  Daiana Silva Avila; Alexandre Benedetto; Catherine Au; Flávia Manarin; Keith Erikson; Felix Antunes Soares; João Batista Teixeira Rocha; Michael Aschner
Journal:  Free Radic Biol Med       Date:  2012-03-08       Impact factor: 7.376

2.  Identification and characterization of adverse effects in 21st century toxicology.

Authors:  Douglas A Keller; Daland R Juberg; Natasha Catlin; William H Farland; Frederick G Hess; Douglas C Wolf; Nancy G Doerrer
Journal:  Toxicol Sci       Date:  2012-01-19       Impact factor: 4.849

Review 3.  Towards molecular mechanisms regulating the expression of galectins in cancer cells under microenvironmental stress conditions.

Authors:  Alexander V Timoshenko
Journal:  Cell Mol Life Sci       Date:  2015-08-06       Impact factor: 9.261

4.  Extracellular stress stimuli alter galectin expression profiles and adhesion characteristics of HL-60 cells.

Authors:  A V Timoshenko; J Lanteigne; K Kozak
Journal:  Mol Cell Biochem       Date:  2016-01-06       Impact factor: 3.396

5.  Analysis of Biomarkers of DNA Damage and Mutagenicity in Mice Exposed to Acrylonitrile.

Authors:  Vernon E Walker; Dale M Walker; Burhan I Ghanayem; George R Douglas
Journal:  Chem Res Toxicol       Date:  2020-06-28       Impact factor: 3.739

Review 6.  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

Review 7.  From the exposome to mechanistic understanding of chemical-induced adverse effects.

Authors:  Beate I Escher; Jörg Hackermüller; Tobias Polte; Stefan Scholz; Achim Aigner; Rolf Altenburger; Alexander Böhme; Stephanie K Bopp; Werner Brack; Wibke Busch; Marc Chadeau-Hyam; Adrian Covaci; Adolf Eisenträger; James J Galligan; Natalia Garcia-Reyero; Thomas Hartung; Michaela Hein; Gunda Herberth; Annika Jahnke; Jos Kleinjans; Nils Klüver; Martin Krauss; Marja Lamoree; Irina Lehmann; Till Luckenbach; Gary W Miller; Andrea Müller; David H Phillips; Thorsten Reemtsma; Ulrike Rolle-Kampczyk; Gerrit Schüürmann; Benno Schwikowski; Yu-Mei Tan; Saskia Trump; Susanne Walter-Rohde; John F Wambaugh
Journal:  Environ Int       Date:  2016-12-08       Impact factor: 9.621

8.  Development of stable HSPA1A promoter-driven luciferase reporter HepG2 cells for assessing the toxicity of organic pollutants present in air.

Authors:  Lili Xin; Xiaohai Li; Huaxin Deng; Dan Kuang; Xiayun Dai; Suli Huang; Feng Wang; Meian He; R William Currie; Tangchun Wu
Journal:  Cell Stress Chaperones       Date:  2012-02-26       Impact factor: 3.667

9.  An approach to investigate intracellular protein network responses.

Authors:  Holly N Currie; Julie A Vrana; Alice A Han; Giovanni Scardoni; Nate Boggs; Jonathan W Boyd
Journal:  Chem Res Toxicol       Date:  2014-01-03       Impact factor: 3.739

Review 10.  Zebrafish: an in vivo model for nano EHS studies.

Authors:  Sijie Lin; Yan Zhao; André E Nel; Shuo Lin
Journal:  Small       Date:  2012-12-03       Impact factor: 13.281

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