Literature DB >> 15686868

Dose-response modeling in reproductive toxicology in the systems biology era.

Melvin E Andersen1, Russell S Thomas, Kevin W Gaido, Rory B Conolly.   

Abstract

Systems biology approaches for modeling cellular signaling networks affected by chemical exposures should soon produce integrated methodologies capable of predicting dose-response relationships for developmental toxicants and for other toxic responses. This paper outlines an emerging strategy for systems biology approaches in dose-response modeling. Genome-wide functional screens, bioinformatic tools, and network mapping technologies together can provide directed graph representations of the cellular signaling networks. The graphical representations can be converted into mathematical models that permit predicting the shapes of dose-response curves for altered cell signaling by test compounds during development. Systems biology approaches require interdisciplinary teams with expertise in reproduction, cell biology, signal transduction, mathematical/biomedical modeling, and risk assessment. In addition to outlining a systems approach for dose-response research, this paper discusses initial stages of application of this strategy to examine inhibition of steroidogenesis in testes by phthalate esters.

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Year:  2005        PMID: 15686868     DOI: 10.1016/j.reprotox.2004.12.004

Source DB:  PubMed          Journal:  Reprod Toxicol        ISSN: 0890-6238            Impact factor:   3.143


  9 in total

1.  Mice lacking Mrp1 have reduced testicular steroid hormone levels and alterations in steroid biosynthetic enzymes.

Authors:  Jeffrey C Sivils; Iven Gonzalez; Lisa J Bain
Journal:  Gen Comp Endocrinol       Date:  2010-02-21       Impact factor: 2.822

2.  Small is useful in endocrine disrupter assessment--four key recommendations for aquatic invertebrate research.

Authors:  Thomas H Hutchinson
Journal:  Ecotoxicology       Date:  2007-02       Impact factor: 2.823

3.  Toxicity testing in the 21st century: a vision and a strategy.

Authors:  Daniel Krewski; Daniel Acosta; Melvin Andersen; Henry Anderson; John C Bailar; Kim Boekelheide; Robert Brent; Gail Charnley; Vivian G Cheung; Sidney Green; Karl T Kelsey; Nancy I Kerkvliet; Abby A Li; Lawrence McCray; Otto Meyer; Reid D Patterson; William Pennie; Robert A Scala; Gina M Solomon; Martin Stephens; James Yager; Lauren Zeise
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2010-02       Impact factor: 6.393

4.  Modeling Dose-response at Low Dose: A Systems Biology Approach for Ionization Radiation.

Authors:  Yuchao Zhao; Paolo F Ricci
Journal:  Dose Response       Date:  2010-03-18       Impact factor: 2.658

5.  Repeated small perturbation approach reveals transcriptomic steady states.

Authors:  Ching-Lung Huang; Wun-Yi Shu; Min-Lung Tsai; Chi-Shiun Chiang; Cheng-Wei Chang; Chiu-Ting Chang; Ian C Hsu
Journal:  PLoS One       Date:  2011-12-15       Impact factor: 3.240

Review 6.  Animal-Free Chemical Safety Assessment.

Authors:  George D Loizou
Journal:  Front Pharmacol       Date:  2016-07-21       Impact factor: 5.810

7.  A computational model to predict rat ovarian steroid secretion from in vitro experiments with endocrine disruptors.

Authors:  Nadia Quignot; Frédéric Y Bois
Journal:  PLoS One       Date:  2013-01-11       Impact factor: 3.240

8.  Direct effects, compensation, and recovery in female fathead minnows exposed to a model aromatase inhibitor.

Authors:  Daniel L Villeneuve; Nathaniel D Mueller; Dalma Martinović; Elizabeth A Makynen; Michael D Kahl; Kathleen M Jensen; Elizabeth J Durhan; Jenna E Cavallin; David Bencic; Gerald T Ankley
Journal:  Environ Health Perspect       Date:  2008-12-12       Impact factor: 9.031

Review 9.  A systems-based computational model of alcohol's toxic effects on brain development.

Authors:  Julia M Gohlke; Susanne Hiller-Sturmhöfel; Elaine M Faustman
Journal:  Alcohol Res Health       Date:  2008
  9 in total

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