与接触半挥发性有机化合物相关的乳头甲状腺癌和结节性风风险:基于机器学习算法的多污染物评估
Fei Wang1, Yuanxin Lin1, Jianing Xu2
1Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, China; Guangxi Key Laboratory on Precise Prevention and Treatment for Thyroid Tumor, The Second Affiliated Hospital, Guangxi University of Science and Technology, Liuzhou, Guangxi, China.
The Science of the total environment
|January 14, 2024
概括
机器学习确定了与甲状腺结节相关的半挥发性有机化合物 (SVOC). 混合的SVOC暴露,特别是来自fluazifop-butyl和fenpropathrin,增加了乳头甲状腺癌和结节性的风险.
科学领域:
- 环境流行病学环境流行病学
- 毒理学 毒理学 毒理学
- 计算生物学是一种计算生物学.
背景情况:
- 暴露于半挥发性有机化合物 (SVOCs) 可能与甲状腺结节风险有关.
- 对混合SVOC暴露效应的研究是有限的.
- 传统方法难以处理复杂的暴露数据,突出了机器学习 (ML) 的需要.
研究的目的:
- 使用各种ML算法,探索混合SVOC暴露与甲状腺结节风险之间的关系.
- 为了确定有助于甲状腺结节发展的特定SVOCs.
- 评估SVOC混合物对甲状腺结节发病率的综合影响.
主要方法:
- 一个1:1:1匹配的病例对照研究涉及150名参与者 (50名乳头甲状腺癌,50名结节,50名对照).
- 测量了96个血清SVOCs,根据检测率,43个被选择用于分析.
- 应用ML技术 (随机森林,AdaBoost) 来进行变量选择和WQS/BKMR回归来评估混合效应.
主要成果:
- ML算法始终确定了与甲状腺结节相关的SVOC.
- 弗卢阿齐福普-丁和芬普拉林显示出与乳头甲状腺癌和结节性肠的积极关联.
- WQS回归表明,混合的SVOC暴露,主要是propathrin和fluazifop-butyl,增加了这些疾病的风险.
结论:
- 在复杂,高维的环境数据中,ML方法可用于变量选择.
- 混合的SVOC暴露与乳头甲状腺癌和结节性肠的风险增加有关.
- 弗卢阿齐福普-丁和芬普拉特林是导致甲状腺结节风险增加的关键因素.
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