从相关性到因果关系:将队列与混合物毒理学实验研究相结合
Ahmed Elagali1, Joëlle Rüegg2, Nicolò Caporale3
1Minderoo Foundation, Perth, WA 6009, Australia; School of Biological Sciences, The University of Western Australia, Perth, WA 6009, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC 3052, Australia.
环境健康研究面临的挑战是将化学混合物与健康联系起来. 新的综合方法旨在确定因果关系,以便预测和预防不良影响.
科学领域:
- 环境健康 环境健康
- 毒理学 毒理学 毒理学
- 流行病学 流行病学
背景情况:
- 有害的化学混合物普遍存在,但由于复杂的相关性和无处不在的合成化学物质,传统研究难以将暴露与健康结果联系起来.
- 建立因果关系是困难的,因为高维暴露,复杂的分子途径,以及缺乏未暴露的对照组.
研究的目的:
- 引入新的方法来了解化学混合物,并超越相关性到因果关系.
- 提出一个综合性框架,用于预测和预防与化学混合物相关的健康影响.
主要方法:
- 将流行病学和实验研究与分子技术和计算建模方面的进展相结合.
- 四种新的方法:hMIX (人类参考混合物和实验证据),SMACH (人口风险转换的类似混合方法),混合流行病学 (桥梁实验和人口数据) 和反事实干预 (评估减少暴露的健康益处).
主要成果:
- 拟议的框架结合了四种不同的方法来应对化学混合物研究的挑战.
- 这些方法旨在将研究领域从相关性发现转向建立因果关系.
结论:
- 提出了一个结合hMIX,SMACH,混合流行病学和反事实干预的综合框架.
- 这一框架对于推动化学混合物研究向因果关系发展至关重要,能够更好地预测和预防不良健康影响.
更多相关视频
08:59An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
Published on: December 3, 2020
08:39Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies
Published on: August 25, 2018
相关概念视频
Correlation and Causation
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlations
Correlation of Experimental Data
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
Mixtures of Acids
A Mixture of a Strong Acid and a Weak Acid
In a mixture of a strong acid and a weak acid, the strong acid dissociates completely and becomes a source of almost all the hydronium ions...
Mixtures of Acids
In a strong and weak acid mixture, the strong acid dissociates completely and becomes a source of almost all the hydronium ions present in the solution. In contrast, the weak acid shows...
Correlation
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
