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替代致癌性评估策略:基于体外致突变和细胞转化试验的高效简化方法。

Alternative strategies for carcinogenicity assessment: an efficient and simplified approach based on in vitro mutagenicity and cell transformation assays.

机构信息

Environment and Health Department, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy.

出版信息

Mutagenesis. 2011 May;26(3):455-60. doi: 10.1093/mutage/ger004. Epub 2011 Mar 11.

Abstract

The need for tools able to predict chemical carcinogens in less time and at a lower cost in terms of animal lives and money is still a research priority, even after several decades of effort in that direction. Now, new regulatory requirements (e.g. the Registration, Evaluation, Authorisation and Restriction of Chemical substances recently implemented in Europe) have even increased the pressure to develop new tools in this field. Drawbacks of the present testing strategies have come to light again recently especially in view of new requirements in worldwide regulations. Among these are (i) the lack of assays able to identify non-genotoxic carcinogens, (ii) the exaggerated rate of misleading (false) positive results of the in vitro mammalian cell-based short-term mutagenicity tests and (iii) the extremely low sensitivity of in vivo short-term mutagenicity tests. Within this perspective, we analyse the contribution of cell transformation assays (CTAs), and we show that they are a valid complement to tools able to detect DNA-reactive carcinogens. We also show that a tiered strategy, with inexpensive and fast tests in Tier 1 (e.g. the Ames test or structural alerts) and the Syrian hamster embryo CTA in Tier 2, is able to identify up to 90% of carcinogens.

摘要

在需要能够以更少的时间和更少的动物生命和金钱成本来预测化学致癌物的工具方面,这仍然是一个研究重点,尽管在这方面已经努力了几十年。现在,新的监管要求(例如,最近在欧洲实施的《化学物质注册、评估、授权和限制》)甚至增加了在这一领域开发新工具的压力。最近,尤其是在全球法规的新要求下,目前测试策略的缺点再次凸显出来。其中包括 (i) 缺乏能够识别非遗传毒性致癌物的检测方法,(ii) 体外哺乳动物细胞短期致突变性测试中假阳性结果的比例过高,以及 (iii) 体内短期致突变性测试的灵敏度极低。在此背景下,我们分析了细胞转化检测(CTA)的作用,并表明它们是能够检测 DNA 反应性致癌物的工具的有效补充。我们还表明,采用分层策略,在第 1 层(例如,Ames 测试或结构警报)和第 2 层的叙利亚仓鼠胚胎 CTA 中使用廉价且快速的测试,能够识别高达 90%的致癌物。

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