一个网络毒理学方法,用于机械模型纳米材料的危险和不良结果
Giusy Del Giudice1,2, Angela Serra1,2,3, Alisa Pavel1
1Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE), Faculty of Medicine and Health Technology, Tampere University, Tampere, 33520, Finland.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|June 26, 2024
概括
这项研究引入了基于网络的危险评估方法,揭示了生物系统,而不仅仅是化学物质暴露,驱动毒理反应. 这种系统毒理学方法将分子数据与不良结果联系起来.
科学领域:
- 系统毒理学 系统毒理学
- 计算毒理学计算毒理学
- 纳米材料的安全性
背景情况:
- 传统的危害评估往往忽视了生物系统在化学毒性中的作用.
- 系统毒理学强调,生物系统的特性显著影响观察到的毒理反应.
- 基于网络的模型越来越多地用于表示复杂的生物系统.
研究的目的:
- 开发一种基于网络的方法,用于在生物系统环境中表征毒理反应.
- 直接将分子变化 (omics数据) 与不良结果途径 (AOP) 框架和毒理事件联系起来.
- 证明生物系统在观察到的毒性中的驱动作用.
主要方法:
- 开发基于网络的框架,以推断系统特定的生物网络.
- 将omics数据与不良结果路径 (AOP) 框架集成.
- 在体外和体外模型中对31种工程纳米材料的数据集的应用.
主要成果:
- 该研究成功地通过推断系统特定网络来表征毒理反应.
- 在分子变化,AOP和表型结果之间建立了直接联系.
- 证明生物系统是观察到纳米材料毒理反应的主要驱动因素.
结论:
- 基于网络的方法从系统生物学角度显著提高了对毒理学机制的理解.
- 这种方法为纳米材料和先进材料提供了改进的危险评估.
- 强调数据驱动方法和系统层面的思维在毒理学中的重要性.
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