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DEB 理论在评估混合物毒性效应中的应用综述。

A review of DEB theory in assessing toxic effects of mixtures.

机构信息

Vrije Universiteit of Amsterdam, Department of Theoretical Biology, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands.

出版信息

Sci Total Environ. 2010 Aug 15;408(18):3740-5. doi: 10.1016/j.scitotenv.2009.09.037. Epub 2009 Oct 21.

Abstract

In this manuscript we review the use of mechanistic models to interpret effects of mixtures of compounds within the framework of the Dynamic Energy Budget (DEB) theory. Within this approach the effect of a mixture is built up from the effects of the individual components making up the mixture. Understanding effects of mixtures is essential as it is impossible to assess effects of all possible mixtures experimentally. In contrast to the more classical way of interpreting effects of mixtures with concentration addition or effect addition models, DEB theory offers a single consistent framework to understand effects of mixtures on growth, reproduction and survival in an integrated, way. It systematically incorporates exposure time and biology of the organisms, including the natural links between the processes of feeding, maintenance, growth, development and reproduction. We also give directions for an experimental setup to interpret the results within the DEB framework. The DEB framework was successfully applied to assess effects of complex mixtures on survival and binary mixtures on sub-lethal endpoints. It gives the possibility to explain observed interactions by the underlying biological mechanisms or pinpoint interactions. We expect this approach to help in identifying key mechanisms and enable to focus further research in cooperation with modelers and experimentalists to improve our understanding of the mechanisms underlying mixture toxicity.

摘要

在本文中,我们回顾了在动态能量预算(DEB)理论框架内使用机械模型来解释化合物混合物效应的方法。在这种方法中,混合物的效应是由组成混合物的各个成分的效应构建而成的。理解混合物的效应是至关重要的,因为不可能通过实验来评估所有可能的混合物的效应。与浓度加和或效应加和模型更经典的解释混合物效应的方法不同,DEB 理论提供了一个单一的一致框架,以综合的方式理解混合物对生长、繁殖和生存的影响。它系统地纳入了暴露时间和生物体的生物学特性,包括摄食、维持、生长、发育和繁殖过程之间的自然联系。我们还为实验设置提供了方向,以便在 DEB 框架内解释结果。DEB 框架成功地应用于评估复杂混合物对生存的影响和二元混合物对亚致死终点的影响。它可以通过潜在的生物学机制来解释观察到的相互作用,或者确定相互作用的位置。我们期望这种方法有助于识别关键机制,并能够与建模者和实验者合作,进一步开展研究,以提高我们对混合物毒性潜在机制的理解。

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