推进PFAS风险评估:使用基于代理物的建模和基于生理学的动力学环境和健康安全的综合方法
Martina Iulini1, Giulia Russo2, Elena Crispino3
1Università degli Studi di Milano, Department of Pharmacology and Biomolecular Sciences 'Rodolfo Paoletti', Milan, Italy.
Computational and structural biotechnology journal
|July 25, 2024
概括
和多基基物质 (PFAS) 由于其持久性,造成健康风险. 使用UISS和PBK等计算模型来了解PFAS对免疫系统和人类健康的影响.
科学领域:
- 环境科学 环境科学
- 毒理学 毒理学 毒理学
- 计算生物学 计算生物学
背景情况:
- 和多基基物质 (PFAS) 是广泛存在的环境污染物,具有已知的健康风险.
- PFAS表现出持久性,流动性和生物积累,导致人类的半衰期较长.
- 有关PFAS诱导的免疫毒性存在担忧,特别是婴儿疫苗接种抗体反应的降低.
研究的目的:
- 调查PFAS诱导的免疫毒性背后的分子机制.
- 增强对PFAS生物动力学及其对人体免疫系统的影响的理解.
- 利用计算工具来改善PFAS的化学风险评估.
主要方法:
- 利用基于代理的模型 (ABM) 普遍免疫系统模拟器 (UISS) 来模拟免疫系统的反应.
- 使用生理基动力学 (PBK) 模型来确定PFAS吸收,分布,新陈代谢和排泄 (ADME).
- 集成的UISS和PBK模型开发时间度概况,并预测不同剂量和寿命的健康影响.
主要成果:
- 综合计算方法为复杂的PFAS机制提供了更深入的见解.
- 确定了PFAS与生物系统相互作用的意外动态.
- 弥补了PFAS毒理学和风险评估中的现有数据缺口.
结论:
- 联合使用UISS和PBK模型为PFAS风险评估提供了一个有希望的方法.
- 这种创新方法可以支持更明智的监管决策和降低风险的策略.
- 利用这些计算框架进行进一步的研究可以增强用于管理PFAS暴露的科学证据.
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