在风险评估中使用观测数据时,应用定量不确定性评估来开发可信的毒性值范围:一项案例研究检查了PFOA和PFOS暴露与疫苗反应之间的关联
Daniele S Wikoff1, Melissa J Vincent1, Melissa M Heintz1
1ToxStrategies LLC, Asheville, NC 28801, United States.
概括
从观测数据中开发出毒性值,就像对 perfluorooctanoic acid (PFOA) 和 PFOS一样,存在很大的不确定性. 定量分析至关重要,但单独对因果剂量反应关系来说往往是不够的.
科学领域:
- 环境健康 环境健康
- 毒理学 毒理学 毒理学
- 风险评估 风险评估
背景情况:
- 传统的风险评估依赖于实验数据,但越来越多地使用观察性研究.
- 描述不确定性对于从各种数据源中开发可靠的毒性值至关重要.
研究的目的:
- 探索使用观测数据评估毒性价值发展中的不确定性方法.
- 将这些方法应用于涉及 perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS) 和疫苗反应的案例研究中.
主要方法:
- 对15项观察性研究进行偏见的审查和评估.
- 选择用于剂量反应建模的代表性研究.
- 在毒性价值发展的每个阶段进行数据模拟和定量不确定性分析.
主要成果:
- 确定了研究设计,混和暴露/结果确定方面的重大不确定性.
- 模拟显示PFOA和PFOS的剂量反应大小和方向的不确定性很高.
- 仅仅通过观察数据,就无法对因果关系进行可靠的评估.
结论:
- 在使用观测数据用于毒性值时,定量不确定性分析是必不可少的.
- 需要额外的方法来评估因果关系和剂量反应特异性.
- 在风险评估中依赖关联研究需要强大的不确定性表征.
更多相关视频
00:05In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
13.8K
09:04Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
Published on: April 18, 2019
12.4K
相关概念视频
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
119
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
119
00:59Uncertainty: Overview
511
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
511