Literature DB >> 15541748

Can mode of action predict mixture toxicity for risk assessment?

Christopher J Borgert1, Terry F Quill, Lynn S McCarty, Ann M Mason.   

Abstract

Recent regulatory guidance for mixture risk assessments and for regulating pesticide chemicals recommends using information about the "mode" or "mechanism" of action of individual chemicals to predict dose response characteristics of mixtures. Dose addition is assumed for mixtures of chemicals that have similar mechanisms and response addition for those with dissimilar mechanisms. Three different sets of criteria have been formulated to guide the selection of an appropriate data set for characterizing a chemical's mode of action, but the sufficiency of those criteria to predict dose addition for a mixture has not been validated experimentally. Several examples from the pharmacological and toxicological literature challenge the premise that dose response characteristics of a mixture can be predicted from the modes of action of its components. Detoxification pathways may need to be understood before dose addition in the observable effect range can be extrapolated to mixture concentrations below the no observable effect levels of the mixture components. Because elucidating discreet mechanisms of action may be possible only for chemicals that exhibit a high degree of biological specificity and dose sensitivity, practical limitations on the approach must be defined. To reduce the large uncertainties inherent in the recommended approach, future research should be focused on defining the mechanistic features that predict dose additive toxicity in mixtures. A detailed characterization of pharmacodynamics, pharmacokinetics, and slope of dose response curves may be necessary to evaluate whether the toxicity of a mixture can be predicted by the mode of action of its component chemicals.

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Year:  2004        PMID: 15541748     DOI: 10.1016/j.taap.2004.05.005

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


  16 in total

1.  Personal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA data.

Authors:  Stuart Batterman; Feng-Chiao Su; Shi Li; Bhramar Mukherjee; Chunrong Jia
Journal:  Res Rep Health Eff Inst       Date:  2014-06

2.  Evaluation of an asymmetry parameter for curve-fitting in single-chemical and mixture toxicity assessment.

Authors:  Douglas A Dawson; Nicole Genco; Heather M Bensinger; Daphne Guinn; Zachary J Il'giovine; T Wayne Schultz; Gerald Pöch
Journal:  Toxicology       Date:  2011-12-19       Impact factor: 4.221

3.  Modeling and analysis of personal exposures to VOC mixtures using copulas.

Authors:  Feng-Chiao Su; Bhramar Mukherjee; Stuart Batterman
Journal:  Environ Int       Date:  2013-12-12       Impact factor: 9.621

Review 4.  Gene expression profiling as an initial approach for mechanistic studies of toxicity and tumorigenicity of herbal plants and herbal dietary supplements.

Authors:  Lei Guo; Nan Mei; Qingsu Xia; Tao Chen; Po-Chuen Chan; Peter P Fu
Journal:  J Environ Sci Health C Environ Carcinog Ecotoxicol Rev       Date:  2010-01       Impact factor: 3.781

5.  Mixture toxicity of S(N)2-reactive soft electrophiles: 2-evaluation of mixtures containing ethyl α-halogenated acetates.

Authors:  D A Dawson; T Mooneyham; J Jeyaratnam; T W Schultz; G Pöch
Journal:  Arch Environ Contam Toxicol       Date:  2011-03-31       Impact factor: 2.804

Review 6.  A review of toxicity and mechanisms of individual and mixtures of heavy metals in the environment.

Authors:  Xiangyang Wu; Samuel J Cobbina; Guanghua Mao; Hai Xu; Zhen Zhang; Liuqing Yang
Journal:  Environ Sci Pollut Res Int       Date:  2016-03-11       Impact factor: 4.223

7.  Extreme value analyses of VOC exposures and risks: A comparison of RIOPA and NHANES datasets.

Authors:  Feng-Chiao Su; Chunrong Jia; Stuart Batterman
Journal:  Atmos Environ (1994)       Date:  2012-12-01       Impact factor: 4.798

8.  Mixture toxicity of SN2-reactive soft electrophiles: 1. Evaluation of mixtures containing α-halogenated acetonitriles.

Authors:  D A Dawson; J Jeyaratnam; T Mooneyham; G Pöch; T W Schultz
Journal:  Arch Environ Contam Toxicol       Date:  2010-04-20       Impact factor: 2.804

9.  The combined toxicity assessment of carp (Cyprinus carpio) acetylcholinesterase activity by binary mixtures of chlorpyrifos and four other insecticides.

Authors:  Chen Chen; Yanhua Wang; Xueping Zhao; Qiang Wang; Yongzhong Qian
Journal:  Ecotoxicology       Date:  2013-12-23       Impact factor: 2.823

10.  Contrasting theories of interaction in epidemiology and toxicology.

Authors:  Gregory J Howard; Thomas F Webster
Journal:  Environ Health Perspect       Date:  2012-09-26       Impact factor: 9.031

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