氧化与COVID-19风险之间的关联:孟德尔的随机化研究
Jing Cao1, Haibo Xu, Zixiao Chen
1The First Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Hebei Key Laboratory of Respiratory Critical Care Medicine, Hebei Institute of Respiratory Diseases, Shijiazhuang, Hebei, China.
Medicine
|December 2, 2025
概括
空气污染,特别是氧化 (NOx) 和二氧化 (NO2),可能会导致COVID-19住院的风险增加. 控制空气污染可能有助于减轻严重的COVID-19进展.
科学领域:
- 环境流行病学环境流行病学
- 公共卫生 公共卫生
- 遗传学 是一个遗传学.
背景情况:
- 横截面研究表明,氧化 (NOx) 与COVID-19严重程度之间存在联系.
- 之前的研究没有利用孟德尔随机化 (MR) 来确定因果关系.
研究的目的:
- 调查氧化物 (NOx) 暴露与2019年冠状病毒疾病 (COVID-19) 风险之间的潜在因果关系.
- 用遗传数据区分NOx和二氧化 (NO2) 对COVID-19风险的影响.
主要方法:
- 两个样本的孟德尔随机化 (MR) 分析使用集成的英国生物库和IEU GWAS数据.
- 采用逆变量加权和强大的调整配置文件得分方法.
- 使用散射图,漏斗图和留出一个漏洞分析进行验证.
主要成果:
- MR发现NOx空气污染和COVID-19住院治疗之间存在显著的关联 (OR=3.76,P=0.0166).
- 二氧化 (NO2) 空气污染也与COVID-19住院治疗有显著的关联 (OR=2.95,P=0.0326).
- 在NO2/NOx暴露和非常严重的呼吸系统确诊的COVID-19之间没有发现显著的关联.
结论:
- 门德尔随机分析表明,NO2和NOx暴露与COVID-19风险增加之间存在潜在的因果关系.
- 减少空气污染可能是减缓COVID-19进展和预防不良结果的策略.
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