编辑趋势:不良结果途径 (AOP) 和计算策略 - - 向生态毒理学的新视角迈进
Damien Baudiffier1, Karine Audouze2, Olivier Armant3
1Fondation evertéa, 3 rue Henry Chalamet, 26000, Valence, France. d.baudiffier@fondationevertea.org.
Environmental science and pollution research international
|November 15, 2023
概括
在毒理学中有用的不良结果途径 (AOP) 框架被用于生态毒理学. 应用in silico策略可以加速AOP的开发,并识别环境风险评估中的数据缺口.
科学领域:
- 环境毒理学环境毒理学
- 计算毒理学计算毒理学
- 系统生物学 系统生物学
背景情况:
- 2010年建立的不良结果途径 (AOP) 框架将分子事件与不良结果联系起来,帮助毒理学研究和风险评估.
- 系统生物学和人工智能的最新进展引入了创新的in silico策略,以阐明毒理学中的作用机制和AOP.
- 目前,这些先进的in silico策略尚未应用于生态毒理学领域.
研究的目的:
- 讨论在生态毒理学中应用先进的in silico策略用于AOP开发的相关性和可行性.
- 确定挑战,例如定义生态毒理学AOPs在人口/社区层面的相关不良结果.
- 突出这些策略对生态毒理学的潜在好处,包括快速数据识别和差距分析.
主要方法:
- 概念讨论和文献评论.
- 探索in silico AOP开发策略的可转移性,从毒理学到生态毒理学.
- 确定生态毒理学应用的潜在挑战和优势.
主要成果:
- 在生态毒理学中应用in silico策略被认为是相关和可行的,为AOP开发提供了新的视角.
- 关键的挑战包括为生态毒理学中的不良结果 (例如,人口/社区层面) 定义适当的生物组织水平.
- 显著的优势包括快速识别现有数据和关键数据缺口,可能克服时间限制.
结论:
- 将先进的in silico AOP开发策略转移到生态毒理学是提高环境风险评估的有希望的途径.
- 解决与生态组织层面相关的挑战对于成功实施至关重要.
- 这种方法为加速研究和提高生态毒理学研究效率带来了巨大的好处.
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