Reconsidering sufficient and optimal test design in acute toxicity testing
- 382 Downloads
In dose–response analysis, regression analysis and hypothesis testing are the main tools of choice. These methods, however, have specific requirements for the design of acute toxicity experiments. To produce meaningful results, both approaches require a constant exposure concentration over the duration of the test, and regression analysis makes an additional demand for at least two doses with partial mortality at the end of the test. These requirements, however, result from the limitations of the statistical techniques, which only use the observations at the end of the test. In practice, most standard protocols for acute testing prescribe that observations are made at several points in time (often daily). In this contribution, I demonstrate how dynamic modelling can make use of this information to produce robust estimates of LC50 as function of time, with confidence intervals, from data sets that violate the requirements for standard dose–response analysis. This form of modelling invites an entirely different, more flexible, view on experimental design, which could lead to a more efficient use of test animals and, at the same time, a stronger support for environmental risk assessment as well as the science of ecotoxicology.
KeywordsTKTD modelling Survival Experimental design GUTS LC50
This research has been financially supported by the European Union under the 7th Framework Programme (project acronym CREAM, contract number PITN-GA-2009-238148).
- Ashauer R, Agatz A, Albert C, Ducrot V, Galic N, Hendriks J, Jager T, Kretschmann A, O’Connor I, Rubach MN, Nyman AM, Schmitt W, Stadnicka J, Van den Brink PJ, Preuss TG (2011a) Toxicokinetic–toxicodynamic modeling of quantal and graded sublethal endpoints: a brief discussion of concepts. Environ Toxicol Chem 30:2519–2524CrossRefGoogle Scholar
- Geiger DL, Northcott CE, Call DJ, Brooke LT (1985) Acute toxicities of organic chemicals to fathead minnows (Pimephales promelas), vol 2. University of Wisconsin-Superior, Superior, WIGoogle Scholar
- Geiger DL, Call DJ, Brooke LT (1988) Acute toxicities of organic chemicals to fathead 323 minnow (Pimephales promelas), vol 4. Center for Lake Superior Environmental 324 Studies, University of Wisconsin-Superior, Superior, WIGoogle Scholar
- Newman MC, McCloskey JT (2000) The individual tolerance concept is not the sole explanation for the probit dose-effect model. Environ Toxicol Chem 19:520–526Google Scholar
- OECD (2006) Current approaches in the statistical analysis of ecotoxicity data: a guidance to application, series on testing and assessment, no. 54. Organisation for Economic Cooperation and Development (OECD), ParisGoogle Scholar