Literature DB >> 18063003

Understanding mechanisms of toxicity: insights from drug discovery research.

Keith A Houck1, Robert J Kavlock.   

Abstract

Toxicology continues to rely heavily on use of animal testing for prediction of potential for toxicity in humans. Where mechanisms of toxicity have been elucidated, for example endocrine disruption by xenoestrogens binding to the estrogen receptor, in vitro assays have been developed as surrogate assays for toxicity prediction. This mechanistic information can be combined with other data such as exposure levels to inform a risk assessment for the chemical. However, there remains a paucity of such mechanistic assays due at least in part to lack of methods to determine specific mechanisms of toxicity for many toxicants. A means to address this deficiency lies in utilization of a vast repertoire of tools developed by the drug discovery industry for interrogating the bioactivity of chemicals. This review describes the application of high-throughput screening assays as experimental tools for profiling chemicals for potential for toxicity and understanding underlying mechanisms. The accessibility of broad panels of assays covering an array of protein families permits evaluation of chemicals for their ability to directly modulate many potential targets of toxicity. In addition, advances in cell-based screening have yielded tools capable of reporting the effects of chemicals on numerous critical cell signaling pathways and cell health parameters. Novel, more complex cellular systems are being used to model mammalian tissues and the consequences of compound treatment. Finally, high-throughput technology is being applied to model organism screens to understand mechanisms of toxicity. However, a number of formidable challenges to these methods remain to be overcome before they are widely applicable. Integration of successful approaches will contribute towards building a systems approach to toxicology that will provide mechanistic understanding of the effects of chemicals on biological systems and aid in rationale risk assessments.

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Year:  2007        PMID: 18063003     DOI: 10.1016/j.taap.2007.10.022

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  14 in total

1.  Defining desirable central nervous system drug space through the alignment of molecular properties, in vitro ADME, and safety attributes.

Authors:  Travis T Wager; Ramalakshmi Y Chandrasekaran; Xinjun Hou; Matthew D Troutman; Patrick R Verhoest; Anabella Villalobos; Yvonne Will
Journal:  ACS Chem Neurosci       Date:  2010-03-25       Impact factor: 4.418

2.  Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms.

Authors:  Nicole C Kleinstreuer; Jian Yang; Ellen L Berg; Thomas B Knudsen; Ann M Richard; Matthew T Martin; David M Reif; Richard S Judson; Mark Polokoff; David J Dix; Robert J Kavlock; Keith A Houck
Journal:  Nat Biotechnol       Date:  2014-05-18       Impact factor: 54.908

3.  A high-throughput respirometric assay for mitochondrial biogenesis and toxicity.

Authors:  Craig C Beeson; Gyda C Beeson; Rick G Schnellmann
Journal:  Anal Biochem       Date:  2010-05-11       Impact factor: 3.365

4.  A review on cullin neddylation and strategies to identify its inhibitors for cancer therapy.

Authors:  Iqra Bano; Moolchand Malhi; Min Zhao; Liviu Giurgiulescu; Hira Sajjad; Marek Kieliszek
Journal:  3 Biotech       Date:  2022-03-29       Impact factor: 2.406

5.  Real-time bioluminescent tracking of cellular population dynamics.

Authors:  Dan Close; Tingting Xu; Steven Ripp; Gary Sayler
Journal:  Methods Mol Biol       Date:  2014

Review 6.  Organotypic liver culture models: meeting current challenges in toxicity testing.

Authors:  Edward L LeCluyse; Rafal P Witek; Melvin E Andersen; Mark J Powers
Journal:  Crit Rev Toxicol       Date:  2012-05-15       Impact factor: 5.635

Review 7.  Survey of public domain software for docking simulations and virtual screening.

Authors:  Jacek Biesiada; Aleksey Porollo; Prakash Velayutham; Michal Kouril; Jaroslaw Meller
Journal:  Hum Genomics       Date:  2011-07       Impact factor: 4.639

8.  Computational toxicology: realizing the promise of the toxicity testing in the 21st century.

Authors:  Ivan Rusyn; George P Daston
Journal:  Environ Health Perspect       Date:  2010-05-18       Impact factor: 9.031

9.  Use of in vitro HTS-derived concentration-response data as biological descriptors improves the accuracy of QSAR models of in vivo toxicity.

Authors:  Alexander Sedykh; Hao Zhu; Hao Tang; Liying Zhang; Ann Richard; Ivan Rusyn; Alexander Tropsha
Journal:  Environ Health Perspect       Date:  2010-10-27       Impact factor: 9.031

Review 10.  In vitro testing of basal cytotoxicity: Establishment of an adverse outcome pathway from chemical insult to cell death.

Authors:  Mathieu Vinken; Bas J Blaauboer
Journal:  Toxicol In Vitro       Date:  2016-12-07       Impact factor: 3.500

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