对与交通有关的空气污染暴露的代谢风险评分的制定:一项多队列研究
Susan-S Hoffman1, Andrea-N Lane2, Audrey-J Gaskins3
1Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.
Environmental research
|October 18, 2024
概括
这项研究开发了代谢风险评分 (metRS) 来评估与交通有关的空气污染 (TRAP) 暴露. 虽然这些方法在统计学上很强大,但现实数据显示了零关联,突出了对标准化分析和更大的样本大小的需求.
科学领域:
- 环境健康科学 环境健康科学
- 代谢学 代谢学 代谢学
- 生物标志物发现发现
背景情况:
- 奥米克领域使用环境暴露生物标志物的风险评分.
- 将风险评分分析扩展到代谢数据是非常有益的.
- 与交通有关的空气污染 (TRAP) 对健康构成重大风险.
研究的目的:
- 开发和评估对TRAP暴露的代谢风险评分 (metRS) 方法.
- 为了比较不同metRS方法在模拟和现实世界队列中的性能.
- 评估metRS选择相关代谢物和预测TRAP暴露的能力.
主要方法:
- 对比了三种metRS方法:弹性净回归和两个值方法.
- 基于代谢物选择准确性和风险评分预测能力的评估性能.
- 在模拟中计算功率和错误发现率 (FDR).
- 将metRS应用于两个真实群体 (CHDWB和EARTH).
主要成果:
- 弹性净回归在各种样本大小的模拟中显示了膨胀的FDR.
- 所有方法都显示出高功率 (>0.8) 来检测正确的代谢物.
- 现实世界的数据应用显示metRS和TRAP之间的关联在很大程度上为零.
- 选择的代谢物被丰富在与TRAP相关的途径中.
结论:
- 某些metRS构建方法在统计学上是可靠和有效的.
- 标准化代谢分析和更大的样本大小对于可靠的研究结果至关重要.
- 需要进一步的研究来完善metRS用于环境暴露评估.
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