SpringerOpen Newsletter

Receive periodic news and updates relating to SpringerOpen.

Open Access Research

A decision tree for assessing effects from exposures to multiple substances

Paul Price1*, Ellen Dhein2, Mick Hamer3, Xianglu Han1, Marjoke Heneweer4, Marion Junghans5, Petra Kunz5, Csilla Magyar1, Holger Penning6 and Carlos Rodriguez7

Author Affiliations

1 The Dow Chemical Company, Toxicology and Environmental Research and Consulting, 1803 Building, Midland MI 48674, USA

2 Bayer Aktiengesellschaft, Corporate Centre, BAG-E&S-SER, Leverkusen, K 9, Germany

3 Syngenta, Jealott’s Hill International Research Centre, Bracknell, Berkshire, RG42 6EY, United Kingdom

4 Shell International BV, PO Box 162, 2501 AN, The Hague, The Netherlands

5 Ecototox Centre, Oekotoxzentrum Eawag/-EPFL, Swiss Centre for Applied Ecotoxicology, Überlandstrasse 133, Postfach 611 CH-8600, Dübendorf, Switzerland

6 BASF, SE, Speyerer Str. 2, 67117, Limburgerhof, Germany

7 Procter and Gamble, Temselaan 100, 1853, Strombeek-Bever, Belgium

For all author emails, please log on.

Environmental Sciences Europe 2012, 24:26  doi:10.1186/2190-4715-24-26

Published: 4 October 2012

Abstract

Background

The Cefic Mixtures Industry Ad-hoc Team (MIAT) has investigated how risks from combined exposures can be effectively identified and managed using concepts proposed in recent regulatory guidance, new advances in risk assessment, and lessons learned from a Cefic-sponsored case study of mixture exposures.

Results

A series of tools were created that include: a decision tree, a system for grouping exposures, and a graphical tool (the MCR-HI plot). The decision tree allows the division of combined exposures into different groups, exposures where one or more individual components are a concern, exposures that are of low concern, and exposures that are a concern for combined effects but not for the effects of individual chemicals. These tools efficiently use available data, identify critical data gaps for combined assessments, and prioritize which chemicals require detailed toxicity information. The tools can be used to address multiple human health endpoints and ecological effects.

Conclusion

The tools provide a useful approach for assessing risks associated with combined exposures to multiple chemicals.

Keywords:
Combined exposures; Cumulative exposures; Mixtures; Maximum cumulative ratio; Human health; Ecotoxicity