Lessigiarska Iglika, Worth Andrew P, Netzeva Tatiana I, Dearden John C, Cronin Mark T D
European Chemicals Bureau, Institute for Health and Consumer Protection, Joint Research Centre, European Commission, 21020 Ispra (VA), Italy.
Chemosphere. 2006 Dec;65(10):1878-87. doi: 10.1016/j.chemosphere.2006.03.067. Epub 2006 May 22.
Acute toxicity in different biological systems, including humans and rodents in vivo, and human and rodent cell lines in vitro, was investigated. The data were taken from the MEIC (Multicentre Evaluation of In Vitro Cytotoxicity) programme. Quantitative structure-activity-activity relationship (QSAAR) models were developed for the in vivo human and rodent toxicity including a combination of toxicity endpoint and structural descriptors as predictor variables. The human peak blood/serum LC(50) concentrations were most strongly related to human liver cell toxicity, while the in vivo oral human lethal doses were most closely related to the in vivo rodent LD(50) values. The QSAARs included structural descriptors encoding electronic/reactivity properties, presence of H-bond donors, compound aromaticity, and size/shape properties. Quantitative structure-activity relationships (QSARs) were derived by using structural descriptors accounting for molecular hydrophobicity, size and shape, and electronic properties. These models have the potential to provide useful insights in the development of non-animal (in vitro and in silico) methods for predicting human and mammalian toxicity.
研究了不同生物系统中的急性毒性,包括体内的人类和啮齿动物,以及体外的人类和啮齿动物细胞系。数据取自MEIC(体外细胞毒性多中心评估)项目。针对体内人类和啮齿动物毒性建立了定量构效关系(QSAAR)模型,将毒性终点和结构描述符的组合作为预测变量。人类血液/血清LC(50)峰值浓度与人类肝细胞毒性相关性最强,而体内口服人类致死剂量与体内啮齿动物LD(50)值关系最为密切。QSAARs包括编码电子/反应性特性、氢键供体的存在、化合物芳香性以及大小/形状特性的结构描述符。通过使用考虑分子疏水性、大小和形状以及电子特性的结构描述符得出定量构效关系(QSARs)。这些模型有可能为开发预测人类和哺乳动物毒性的非动物(体外和计算机模拟)方法提供有用的见解。