Literature DB >> 16002478

An integrated addition and interaction model for assessing toxicity of chemical mixtures.

Cynthia V Rider1, Gerald A LeBlanc.   

Abstract

The high propensity for simultaneous exposure to multiple environmental chemicals necessitates the development and use of models that provide insight into the toxicity of chemical mixtures. In this study, we developed a mathematical model that combines concepts of concentration addition, response addition, and toxicokinetic chemical interaction to assess toxicity of chemical mixtures. A ternary mixture of acetylcholinesterase inhibiting organophosphates (malathion and parathion) and the P450 inhibitor piperonyl butoxide was used to model toxicity. Concentration-response curves were generated for individual chemicals as well as for mixtures of the chemicals using acute toxicity tests with Daphnia magna. The toxicity of binary combinations of malathion and parathion adhered to the principles of concentration addition. The contribution of piperonyl butoxide to mixture toxicity was integrated using a model for response addition. Piperonyl butoxide also modified the toxicity of the organophosphates by inhibiting their metabolic activation. The antagonistic effects of piperonyl butoxide towards the organophosphates were quantified as coefficients of interactions (K-functions) and incorporated into the mixture model. Finally, toxicity of the ternary mixture was modeled at 30 different mixture formulations using three additive models that assumed no interaction (concentration addition, response addition, and integrated addition) and using the integrated addition and interaction (IAI) model. Toxicity of the 30 mixtures was then experimentally determined and compared to model results. Only the IAI model accurately predicted the toxicity of the mixtures. The IAI model holds promise as a means for assessing hazard of complex chemical mixtures.

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Year:  2005        PMID: 16002478     DOI: 10.1093/toxsci/kfi247

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  31 in total

1.  Generalized Concentration Addition Model Predicts Glucocorticoid Activity Bioassay Responses to Environmentally Detected Receptor-Ligand Mixtures.

Authors:  Elizabeth Medlock Kakaley; Mary C Cardon; L Earl Gray; Phillip C Hartig; Vickie S Wilson
Journal:  Toxicol Sci       Date:  2019-03-01       Impact factor: 4.849

Review 2.  Cumulative effects of antiandrogenic chemical mixtures and their relevance to human health risk assessment.

Authors:  Kembra L Howdeshell; Andrew K Hotchkiss; L Earl Gray
Journal:  Int J Hyg Environ Health       Date:  2016-11-19       Impact factor: 5.840

Review 3.  Cumulative effects of in utero administration of mixtures of reproductive toxicants that disrupt common target tissues via diverse mechanisms of toxicity.

Authors:  C V Rider; J R Furr; V S Wilson; L E Gray
Journal:  Int J Androl       Date:  2010-04

4.  Environmental Risk Assessment of Pharmaceutical Mixtures: Demands, Gaps, and Possible Bridges.

Authors:  Thomas Backhaus
Journal:  AAPS J       Date:  2016-04-04       Impact factor: 4.009

5.  A Demonstration of the Uncertainty in Predicting the Estrogenic Activity of Individual Chemicals and Mixtures From an In Vitro Estrogen Receptor Transcriptional Activation Assay (T47D-KBluc) to the In Vivo Uterotrophic Assay Using Oral Exposure.

Authors:  Justin M Conley; Bethany R Hannas; Johnathan R Furr; Vickie S Wilson; L Earl Gray
Journal:  Toxicol Sci       Date:  2016-07-29       Impact factor: 4.849

6.  The HR96 activator, atrazine, reduces sensitivity of D. magna to triclosan and DHA.

Authors:  Namrata Sengupta; Elizabeth J Litoff; William S Baldwin
Journal:  Chemosphere       Date:  2015-03-03       Impact factor: 7.086

7.  Linear regression model for predicting interactive mixture toxicity of pesticide and ionic liquid.

Authors:  Li-Tang Qin; Jie Wu; Ling-Yun Mo; Hong-Hu Zeng; Yan-Peng Liang
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-02       Impact factor: 4.223

8.  Coexposure to phytoestrogens and bisphenol a mimics estrogenic effects in an additive manner.

Authors:  Anne Katchy; Caroline Pinto; Philip Jonsson; Trang Nguyen-Vu; Marchela Pandelova; Anne Riu; Karl-Werner Schramm; Daniel Samarov; Jan-Åke Gustafsson; Maria Bondesson; Cecilia Williams
Journal:  Toxicol Sci       Date:  2013-11-27       Impact factor: 4.849

9.  Investigating the relationship between synergistic effects and diversity of four widely used agricultural pesticides by using bacterial species in liquid culture medium.

Authors:  Mohammad Reza Zare; Mansooreh Dehghani; Atefeh Fakhraei Fard
Journal:  Environ Monit Assess       Date:  2020-02-15       Impact factor: 2.513

10.  The environmental estrogen, nonylphenol, activates the constitutive androstane receptor.

Authors:  Juan P Hernandez; Wendong Huang; Laura M Chapman; Steven Chua; David D Moore; William S Baldwin
Journal:  Toxicol Sci       Date:  2007-05-05       Impact factor: 4.849

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