Literature DB >> 20963850

Species extrapolation for the 21st century.

Malin C Celander1, Jared V Goldstone, Nancy D Denslow, Taisen Iguchi, Peter Kille, Roger D Meyerhoff, Ben A Smith, Thomas H Hutchinson, James R Wheeler.   

Abstract

Safety factors are used in ecological risk assessments to extrapolate from the toxic responses of laboratory test species to all species representing that group in the environment. More accurate extrapolation of species responses is important. Advances in understanding the mechanistic basis for toxicological responses and identifying molecular response pathways can provide a basis for extrapolation across species and, in part, an explanation for the variability in whole organism responses to toxicants. We highlight potential short- and medium-term development goals to meet our long-term aspiration of truly predictive in silico extrapolation across wildlife species' response to toxicants. A conceptual approach for considering cross-species extrapolation is presented. Critical information is required to establish evidence-based species extrapolation, including identification of critical molecular pathways and regulatory networks that are linked to the biological mode of action and species' homologies. A case study is presented that examines steroidogenesis inhibition in fish after exposure to fadrozole or prochloraz. Similar effects for each compound among fathead minnow, medaka, and zebrafish were attributed to similar inhibitor pharmacokinetic/pharmacodynamic distributions and sequences of cytochrome P45019A1/2 (CYP19A1/2). Rapid advances in homology modeling allow the prediction of interactions of chemicals with enzymes, for example, CYP19 aromatase, which would eventually allow a prediction of potential aromatase toxicity of new compounds across a range of species. Eventually, predictive models will be developed to extrapolate across species, although substantial research is still required. Knowledge gaps requiring research include defining differences in life histories (e.g., reproductive strategies), understanding tissue-specific gene expression, and defining the role of metabolism on toxic responses and how these collectively affect the power of interspecies extrapolation methods.
© 2010 SETAC.

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Year:  2011        PMID: 20963850     DOI: 10.1002/etc.382

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  15 in total

1.  Adverse outcome pathway development II: best practices.

Authors:  Daniel L Villeneuve; Doug Crump; Natàlia Garcia-Reyero; Markus Hecker; Thomas H Hutchinson; Carlie A LaLone; Brigitte Landesmann; Teresa Lettieri; Sharon Munn; Malgorzata Nepelska; Mary Ann Ottinger; Lucia Vergauwen; Maurice Whelan
Journal:  Toxicol Sci       Date:  2014-12       Impact factor: 4.849

2.  Gene Expression Thresholds Derived From Short-term Exposures Identify Rat Liver Tumorigens.

Authors:  Thomas Hill; John Rooney; Jaleh Abedini; Hisham El-Masri; Charles E Wood; J Christopher Corton
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

3.  Environmental contaminants activate human and polar bear (Ursus maritimus) pregnane X receptors (PXR, NR1I2) differently.

Authors:  Roger Lille-Langøy; Jared V Goldstone; Marte Rusten; Matthew R Milnes; Rune Male; John J Stegeman; Bruce Blumberg; Anders Goksøyr
Journal:  Toxicol Appl Pharmacol       Date:  2015-02-10       Impact factor: 4.219

Review 4.  Comparative metabolism as a key driver of wildlife species sensitivity to human and veterinary pharmaceuticals.

Authors:  Thomas H Hutchinson; Judith C Madden; Vinny Naidoo; Colin H Walker
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-11-19       Impact factor: 6.237

Review 5.  Stem cell-derived hepatocytes as a predictive model for drug-induced liver injury: are we there yet?

Authors:  Richard Kia; Rowena L C Sison; James Heslop; Neil R Kitteringham; Neil Hanley; John S Mills; B Kevin Park; Chris E P Goldring
Journal:  Br J Clin Pharmacol       Date:  2013-04       Impact factor: 4.335

6.  Assessing effects of aromatase inhibition on fishes with group-synchronous oocyte development using western mosquitofish (Gambusia affinis) as a model.

Authors:  Jon A Doering; Daniel L Villeneuve; Charlene B Tilton; Ashley R Kittelson; Brett R Blackwell; Michael D Kahl; Kathleen M Jensen; Shane T Poole; Jenna E Cavallin; Alexander R Cole; Kendra N Dean; Carlie A LaLone; Gerald T Ankley
Journal:  Aquat Toxicol       Date:  2021-01-05       Impact factor: 5.202

7.  Assessing the exposure risk and impacts of pharmaceuticals in the environment on individuals and ecosystems.

Authors:  Kathryn E Arnold; Alistair B A Boxall; A Ross Brown; Richard J Cuthbert; Sally Gaw; Thomas H Hutchinson; Susan Jobling; Judith C Madden; Chris D Metcalfe; Vinny Naidoo; Richard F Shore; Judit E Smits; Mark A Taggart; Helen M Thompson
Journal:  Biol Lett       Date:  2013-06-26       Impact factor: 3.703

8.  Quantitative cross-species extrapolation between humans and fish: the case of the anti-depressant fluoxetine.

Authors:  Luigi Margiotta-Casaluci; Stewart F Owen; Rob I Cumming; Anna de Polo; Matthew J Winter; Grace H Panter; Mariann Rand-Weaver; John P Sumpter
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

Review 9.  The Role of Omics in the Application of Adverse Outcome Pathways for Chemical Risk Assessment.

Authors:  Erica K Brockmeier; Geoff Hodges; Thomas H Hutchinson; Emma Butler; Markus Hecker; Knut Erik Tollefsen; Natalia Garcia-Reyero; Peter Kille; Dörthe Becker; Kevin Chipman; John Colbourne; Timothy W Collette; Andrew Cossins; Mark Cronin; Peter Graystock; Steve Gutsell; Dries Knapen; Ioanna Katsiadaki; Anke Lange; Stuart Marshall; Stewart F Owen; Edward J Perkins; Stewart Plaistow; Anthony Schroeder; Daisy Taylor; Mark Viant; Gerald Ankley; Francesco Falciani
Journal:  Toxicol Sci       Date:  2017-08-01       Impact factor: 4.849

10.  Interactions between chemical and climate stressors: a role for mechanistic toxicology in assessing climate change risks.

Authors:  Michael J Hooper; Gerald T Ankley; Daniel A Cristol; Lindley A Maryoung; Pamela D Noyes; Kent E Pinkerton
Journal:  Environ Toxicol Chem       Date:  2013-01       Impact factor: 3.742

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