Barratt M D
Unilever Environmental Safety Laboratory, Sharnbrook, Bedford, United Kingdom.
Environ Health Perspect. 1998 Apr;106 Suppl 2(Suppl 2):459-65. doi: 10.1289/ehp.98106459.
The principles of quantitative structure-activity relationships (QSAR) are based on the premise that the properties of a chemical are implicit in its molecular structure. Therefore, if a mechanistic hypothesis can be proposed linking a group of related chemicals with a particular toxic end point, the hypothesis can be used to define relevant parameters to establish a QSAR. Ways in which QSAR and in vitro toxicology can complement each other in development of alternatives to live animal experiments are described and illustrated by examples from acute toxicological end points. Integration of QSAR and in vitro methods is examined in the context of assessing mechanistic competence and improving the design of in vitro assays and the development of prediction models. The nature of biological variability is explored together with its implications for the selection of sets of chemicals for test development, optimization, and validation. Methods are described to support the use of data from in vivo tests that do not meet today's stringent requirements of acceptability. Integration of QSAR and in vitro methods into strategic approaches for the replacement, reduction, and refinement of the use of animals is described with examples.
定量构效关系(QSAR)的原理基于这样一个前提,即化学品的性质隐含在其分子结构中。因此,如果能够提出一个将一组相关化学品与特定毒性终点联系起来的作用机制假说,那么该假说可用于定义相关参数以建立QSAR。本文描述了QSAR和体外毒理学在开发替代活体动物实验方法方面如何相互补充,并通过急性毒理学终点的实例进行说明。在评估作用机制能力、改进体外试验设计和预测模型开发的背景下,探讨了QSAR与体外方法的整合。研究了生物变异性的本质及其对选择用于试验开发、优化和验证的化学品集的影响。介绍了一些方法,以支持使用不符合当今严格可接受性要求的体内试验数据。文中举例说明了如何将QSAR和体外方法整合到替代、减少和优化动物使用的战略方法中。