Literature DB >> 21309635

Critical analysis of literature on low-dose synergy for use in screening chemical mixtures for risk assessment.

Alan Boobis1, Robert Budinsky, Shanna Collie, Kevin Crofton, Michelle Embry, Susan Felter, Richard Hertzberg, David Kopp, Gary Mihlan, Moiz Mumtaz, Paul Price, Keith Solomon, Linda Teuschler, Raymond Yang, Rosemary Zaleski.   

Abstract

There is increasing interest in the use of tiered approaches in risk assessment of mixtures or co-exposures to chemicals for prioritization. One possible screening-level risk assessment approach is the threshold of toxicological concern (TTC). To date, default assumptions of dose or response additivity have been used to characterize the toxicity of chemical mixtures. Before a screening-level approach could be used, it is essential to know whether synergistic interactions can occur at low, environmentally relevant exposure levels. Studies demonstrating synergism in mammalian test systems were identified from the literature, with emphasis on studies performed at doses close to the points of departure (PODs) for individual chemicals. This search identified 90 studies on mixtures. Few included quantitative estimates of low-dose synergy; calculations of the magnitude of interaction were included in only 11 papers. Quantitative methodology varied across studies in terms of the null hypothesis, response measured, POD used to test for synergy, and consideration of the slope of the dose-response curve. It was concluded that consistent approaches should be applied for quantification of synergy, including that synergy be defined in terms of departure from dose additivity; uniform procedures be developed for assessing synergy at low exposures; and the method for determining the POD for calculating synergy be standardized. After evaluation of the six studies that provided useful quantitative estimates of synergy, the magnitude of synergy at low doses did not exceed the levels predicted by additive models by more than a factor of 4.

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Year:  2011        PMID: 21309635     DOI: 10.3109/10408444.2010.543655

Source DB:  PubMed          Journal:  Crit Rev Toxicol        ISSN: 1040-8444            Impact factor:   5.635


  24 in total

1.  Characterizing Risk for Cumulative Risk Assessments.

Authors:  Margaret M MacDonell; Richard C Hertzberg; Glenn E Rice; J Michael Wright; Linda K Teuschler
Journal:  Risk Anal       Date:  2017-11-23       Impact factor: 4.000

2.  Mixtures research at NIEHS: an evolving program.

Authors:  Cynthia V Rider; Danielle J Carlin; Micheal J Devito; Claudia L Thompson; Nigel J Walker
Journal:  Toxicology       Date:  2012-11-09       Impact factor: 4.221

3.  Dose Addition Models Based on Biologically Relevant Reductions in Fetal Testosterone Accurately Predict Postnatal Reproductive Tract Alterations by a Phthalate Mixture in Rats.

Authors:  Kembra L Howdeshell; Cynthia V Rider; Vickie S Wilson; Johnathan R Furr; Christy R Lambright; L Earl Gray
Journal:  Toxicol Sci       Date:  2015-09-08       Impact factor: 4.849

4.  Cumulative Risk Assessment (CRA): transforming the way we assess health risks.

Authors:  Pamela R D Williams; G Scott Dotson; Andrew Maier
Journal:  Environ Sci Technol       Date:  2012-09-11       Impact factor: 9.028

5.  Mixture Math: Deciding What to Add in a Cumulative Risk Assessment.

Authors:  Cynthia V Rider
Journal:  Curr Opin Toxicol       Date:  2022-06-09

Review 6.  Tracking complex mixtures of chemicals in our changing environment.

Authors:  Beate I Escher; Heather M Stapleton; Emma L Schymanski
Journal:  Science       Date:  2020-01-24       Impact factor: 47.728

7.  Interference of heavy metals on the photosynthetic response from a Cr(VI)-resistant Dictyosphaerium chlorelloides strain.

Authors:  A D'ors; A A Cortés; A Sánchez-Fortún; M C Bartolomé; S Sánchez-Fortún
Journal:  Ecotoxicology       Date:  2015-10-12       Impact factor: 2.823

8.  Organizing mechanism-related information on chemical interactions using a framework based on the aggregate exposure and adverse outcome pathways.

Authors:  Paul S Price; Annie M Jarabek; Lyle D Burgoon
Journal:  Environ Int       Date:  2020-03-24       Impact factor: 9.621

Review 9.  Non-genomic effects of xenoestrogen mixtures.

Authors:  René Viñas; Yow-Jiun Jeng; Cheryl S Watson
Journal:  Int J Environ Res Public Health       Date:  2012-07-31       Impact factor: 3.390

10.  Characterization of the interaction between cadmium and chlorpyrifos with integrative techniques in incurring synergistic hepatoxicity.

Authors:  Liqun Chen; Guangbo Qu; Xue Sun; Shuping Zhang; Lei Wang; Nan Sang; Yuguo Du; Jun Liu; Sijin Liu
Journal:  PLoS One       Date:  2013-03-14       Impact factor: 3.240

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