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Benchmark dose approaches in chemical health risk assessment in relation to number and distress of laboratory animals
Affiliation:1. School of Electronics and Information Technology, Shanghai Jiao Tong University, Shanghai 200240, China;2. School of Engineering, Vanderbilt University, Nashville, TN 37235, USA;3. School of Computer and Information Science, Southwest University, Chongqing 400715, China;1. Department of Earth Sciences, College of Sciences, Shiraz University, Shiraz, 71454, Iran;2. Medical Geology Center of Shiraz University, Iran;1. School of Resources and Safety Engineering, Central South University, No.932 South Lushan Road, Changsha, Hunan, 410083, PR China;2. School of Mechanical and Transportation Engineering, China University of Petroleum(Beijing), No.18 Fuxue Road, Changping, Beijing, 102249, PR China;1. Centre for Rural Development and Technology, Indian Institute of Technology, New Delhi 110016, India;2. School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110067, India;3. University School of Environment Management, Guru Gobind Singh Indraprastha University, Delhi 110078, India
Abstract:Use of benchmark dose (BMD) approaches is expected to increase substantially, with growing awareness among researchers and inclusion in regulatory testing guidance documents such as REACH. The BMD approach has clear advantages over the No-Observed-Adverse-Effect-Level (NOAEL) approach in defining toxicological thresholds, risk levels, and points of departure as the basis for setting guidance and limit values. Several aspects of the BMD may increase the use of laboratory animals; the optimal number of dose groups for BMD calculation is between five and ten, rather than the current standard of four; also, experiments with more animals will result in narrow confidence intervals. However, this paper presents several counterarguments suggesting that design of experiments suited for BMD analyses might be used to decrease the distress and use of laboratory animals. If experiments are performed with unequal group size, with fewer animals in the high response dose groups and more animals close to toxicological threshold, the aggregated distress might be reduced. In addition, there is a need to evaluate how the total number of animals affects the quality of BMD (e.g. in terms of confidence intervals). Development of strategies for optimal design of experiments requires tools which evaluate experimental designs from an ethical perspective; a concept of distress-adjusted number of animals is suggested.
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