Metabolomics: A tool for early detection of toxicological effects and an opportunity for biology based grouping of chemicals鈥擣rom QSAR to QBAR

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• 作者：B. van Ravenzwaay^a ; ^{bennard.ravenzwaay@basf.com} ; M. Herold^b ; H. Kamp^a ; M.D. Kapp^a ; E. Fabian^a ; R. Looser^b ; G. Krennrich^c ; W. Mellert^a ; A. Prokoudine^b ; V. Strauss^a ; T. Walk^b ; J. Wiemer^b
• 关键词：Metabolomics ; Metabolite profiling ; Mode of action ; Chemical grouping ; QBAR
• 刊名：Mutation Research/Genetic Toxicology and Environmental Mutagenesis
• 出版年：2012
• 期刊代码：31_13835718
• 类别：pha
• 出版时间：15 August, 2012
• 卷：746
• 期：2
• 页码：144-150
• 文件大小：294 K

摘要

BASF has developed a Metabolomics database (MetaMap^庐 Tox) containing approximately 500 data rich chemicals, agrochemicals and drugs. This metabolome-database has been built based upon 28-day studies in rats (adapted to OECD 407 guideline) with blood sampling and metabolic profiling after 7, 14 and 28 days of test substance treatment. Numerous metabolome patterns have been established for different toxicological targets (liver, kidney, thyroid, testes, blood, nervous system and endocrine system) which are specific for different toxicological modes of action. With these patterns early detection of toxicological effects and the underlying mechanism can now be obtained from routine studies. Early recognition of toxicological mode of action will help to develop new compounds with a more favourable toxicological profile and will also help to reduce the number of animal studies necessary to do so. Thus this technology contributes to animal welfare by means of reduction through refinement (2R), but also has potential as a replacement method by analyzing samples from in vitro studies.

With respect to the REACH legislation for which a large number of animal studies will need to be performed, one of the most promising methods to reduce the number of animal experiments is grouping of chemicals and read-across to those which are data rich. So far mostly chemical similarity or QSAR models are driving the selection process of chemical grouping. However, 鈥渙mics鈥?technologies such as metabolomics may help to optimize the chemical grouping process by providing biologically based criteria for toxicological equivalence. 鈥淔rom QSAR to QBAR鈥?(quantitative biological activity relationship).