Houck Keith A, Kavlock Robert J
National Center for Computational Toxicology, Office Research and Development, United Stated Environmental Protection Agency, Research Triangle Park, NC 27711, USA.
Toxicol Appl Pharmacol. 2008 Mar 1;227(2):163-78. doi: 10.1016/j.taap.2007.10.022. Epub 2007 Nov 4.
Toxicology continues to rely heavily on use of animal testing for prediction of potential for toxicity in humans. Where mechanisms of toxicity have been elucidated, for example endocrine disruption by xenoestrogens binding to the estrogen receptor, in vitro assays have been developed as surrogate assays for toxicity prediction. This mechanistic information can be combined with other data such as exposure levels to inform a risk assessment for the chemical. However, there remains a paucity of such mechanistic assays due at least in part to lack of methods to determine specific mechanisms of toxicity for many toxicants. A means to address this deficiency lies in utilization of a vast repertoire of tools developed by the drug discovery industry for interrogating the bioactivity of chemicals. This review describes the application of high-throughput screening assays as experimental tools for profiling chemicals for potential for toxicity and understanding underlying mechanisms. The accessibility of broad panels of assays covering an array of protein families permits evaluation of chemicals for their ability to directly modulate many potential targets of toxicity. In addition, advances in cell-based screening have yielded tools capable of reporting the effects of chemicals on numerous critical cell signaling pathways and cell health parameters. Novel, more complex cellular systems are being used to model mammalian tissues and the consequences of compound treatment. Finally, high-throughput technology is being applied to model organism screens to understand mechanisms of toxicity. However, a number of formidable challenges to these methods remain to be overcome before they are widely applicable. Integration of successful approaches will contribute towards building a systems approach to toxicology that will provide mechanistic understanding of the effects of chemicals on biological systems and aid in rationale risk assessments.
毒理学在很大程度上仍依赖动物试验来预测人类的潜在毒性。在毒性机制已被阐明的情况下,例如外源性雌激素与雌激素受体结合导致的内分泌干扰,体外试验已被开发出来作为毒性预测的替代试验。这种机制信息可与其他数据(如接触水平)相结合,以对化学品进行风险评估。然而,此类机制试验仍然匮乏,至少部分原因是缺乏确定许多有毒物质特定毒性机制的方法。解决这一缺陷的一个方法是利用药物研发行业开发的大量工具来研究化学品的生物活性。本综述描述了高通量筛选试验作为实验工具在分析化学品潜在毒性和理解潜在机制方面的应用。涵盖一系列蛋白质家族的广泛试验组合的可及性使得能够评估化学品直接调节许多潜在毒性靶点的能力。此外,基于细胞的筛选技术的进步产生了能够报告化学品对众多关键细胞信号通路和细胞健康参数影响的工具。新型、更复杂的细胞系统正被用于模拟哺乳动物组织以及化合物处理的后果。最后,高通量技术正被应用于模式生物筛选以了解毒性机制。然而,在这些方法被广泛应用之前,仍有许多艰巨的挑战有待克服。成功方法的整合将有助于构建一种系统毒理学方法,该方法将提供对化学品对生物系统影响的机制理解,并有助于进行合理的风险评估。