通过机器学习探索从早儿时期的先孕期到早儿时期的亚托皮性湿疹,鼻炎和喘息发育的暴露体
Yizhi Dong1, Hui Xing Lau2, Noor Hidayatul Aini Suaini2
1Saw Swee Hock School of Public Health, National University Health System, National University of Singapore, Singapore.
Environmental research
|February 21, 2024
概括
孕产妇的预孕和怀孕暴露,包括酒精使用和抑郁症,可以编程儿童湿疹和鼻炎. 早期儿童喘息可能会受到特定的母亲和儿童血液标记物的保护. 未来的研究应该考虑预设的环境因素.
科学领域:
- 环境流行病学环境流行病学
- 健康和疾病的发育起源.
- 机器学习在公共卫生中的应用
背景情况:
- 在以前对儿童过敏疾病的环境流行病学研究中,风险因素的范围有限.
- 使用机器学习方法,从预设阶段开始探索exposome.
- 专注于儿童时期的亚托皮性湿疹,鼻炎和喘息.
研究的目的:
- 调查预孕和怀孕暴露基因在儿童过敏疾病编程中的作用.
- 确定影响疾病发展的关键环境暴露和生物机制.
- 告知儿童早期过敏症的预防策略.
主要方法:
- 对两个大型亚洲出生队伍 (GUSTO和S-PRESTO) 的综合分析.
- 机器学习模型 (XGBoost,遗传算法,逻辑回归) 来识别重要的暴露变量.
- 一般化结构方程建模以探索潜在的炎症和代谢途径.
主要成果:
- 怀孕前的酒精消费和怀孕期间母亲的抑郁症状与疹和鼻炎风险增加有关.
- 孕产妇的纽波特林和儿童的二甲基甘氨酸水平与保护儿童早期喘息有关.
- 产后早期感染成为亚托皮性湿疹和鼻炎发展的重要因素.
结论:
- 在怀孕前和怀孕期间的暴露体在子宫内对儿童过敏疾病的编程中起着至关重要的作用.
- 减少母亲的酒精摄入量,并在怀孕期间支持心理健康,可以预防湿疹和鼻炎.
- 将孕前环境暴露纳入研究对于了解和对抗早期疾病前体至关重要.
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