Chepelev Nikolai L, Moffat Ivy D, Labib Sarah, Bourdon-Lacombe Julie, Kuo Byron, Buick Julie K, Lemieux France, Malik Amal I, Halappanavar Sabina, Williams Andrew, Yauk Carole L
Environmental Health Science and Research Bureau, Health Canada , Ottawa, ON , Canada.
Crit Rev Toxicol. 2015 Jan;45(1):44-52. doi: 10.3109/10408444.2014.973935.
The use of short-term toxicogenomic tests to predict cancer (or other health effects) offers considerable advantages relative to traditional toxicity testing methods. The advantages include increased throughput, increased mechanistic data, and significantly reduced costs. However, precisely how toxicogenomics data can be used to support human health risk assessment (RA) is unclear. In a companion paper ( Moffat et al. 2014 ), we present a case study evaluating the utility of toxicogenomics in the RA of benzo[a]pyrene (BaP), a known human carcinogen. The case study is meant as a proof-of-principle exercise using a well-established mode of action (MOA) that impacts multiple tissues, which should provide a best case example. We found that toxicogenomics provided rich mechanistic data applicable to hazard identification, dose-response analysis, and quantitative RA of BaP. Based on this work, here we share some useful lessons for both research and RA, and outline our perspective on how toxicogenomics can benefit RA in the short- and long-term. Specifically, we focus on (1) obtaining biologically relevant data that are readily suitable for establishing an MOA for toxicants, (2) examining the human relevance of an MOA from animal testing, and (3) proposing appropriate quantitative values for RA. We describe our envisioned strategy on how toxicogenomics can become a tool in RA, especially when anchored to other short-term toxicity tests (apical endpoints) to increase confidence in the proposed MOA, and emphasize the need for additional studies on other MOAs to define the best practices in the application of toxicogenomics in RA.
使用短期毒理基因组学测试来预测癌症(或其他健康影响)相对于传统毒性测试方法具有相当多的优势。这些优势包括提高通量、增加机制数据以及显著降低成本。然而,毒理基因组学数据究竟如何用于支持人类健康风险评估(RA)尚不清楚。在一篇配套论文(莫法特等人,2014年)中,我们展示了一个案例研究,评估毒理基因组学在已知人类致癌物苯并[a]芘(BaP)的风险评估中的效用。该案例研究旨在作为一项原理验证练习,使用一种已确立的影响多个组织的作用模式(MOA),这应该能提供一个最佳案例。我们发现毒理基因组学提供了丰富的机制数据,适用于BaP的危害识别、剂量反应分析和定量风险评估。基于这项工作,在此我们分享一些对研究和风险评估都有用的经验教训,并概述我们对毒理基因组学如何在短期和长期内使风险评估受益的观点。具体而言,我们关注(1)获取易于适用于为毒物建立作用模式的生物学相关数据,(2)从动物试验中检验作用模式与人类的相关性,以及(3)为风险评估提出适当的定量值。我们描述了我们设想的毒理基因组学如何成为风险评估工具的策略,特别是当它与其他短期毒性测试(顶端终点)相结合以增加对所提出作用模式的信心时,并强调需要对其他作用模式进行更多研究,以确定毒理基因组学在风险评估中应用的最佳实践。