Ambient Air Pollutants and Traffic Factors Were Associated with Blood and Urine Biomarkers and Asthma Risk
Ambient Air Pollutants and Traffic Factors Were Associated with Blood and Urine Biomarkers and Asthma Risk
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环境空气污染物和交通因素与血液和尿液生物标志物以及哮喘风险相关
DOI：
10.1021/acs.est.1c06916
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发表时间：
2022
影响因子：
11.4
通讯作者：
Ke Hao
中科院分区：
文献类型：
--
作者：
Haoxiang Cheng;Antonio Di Narzo;Daniel Howell;Kateryna Yevdokimova;Jushan Zhang;Xingmin Zhang;Qi Pan;Zhongyang Zhang;Linda Rogers;Ke Hao
英国生物库（UKBB）是一个大型的基于人群的队列，提供了一个独特的机会来研究环境暴露和生物标志物之间的关联，并确定生物标志物作为评估暴露剂量，健康损害和疾病风险的潜在工具。在462063名欧洲血统的参与者中，我们描述了38种疾病相关生物标志物、哮喘诊断、环境污染、交通因素和遗传背景之间的关系。UKBB队列的空气污染物暴露相当低（例如，平均PM2.5浓度为10.0 μg/m3）。然而，30种生物标志物与至少一种环境因素相关;例如，C反应蛋白水平与NO（padj= 2.99 × 10-4）、NO2（padj= 4.15 × 10-4）和PM2.5（padj= 1.92 × 10-6）呈正相关。哮喘诊断与四种污染物（NO，NO2，PM2.5和PM10）相关。在PM2.5中观察到最大的效应量，其中暴露量增加5 μg/m3与哮喘诊断增加1.52相关（p= 4.41 × 10-13）。此外，在加性模型中，环境暴露和遗传易感性影响生物标志物水平和哮喘诊断。在这项研究中确定的生物标志物协会可以作为环境暴露引起的健康损害的潜在指标。我们的研究结果还揭示了环境暴露影响致病生物标志物并进而增加疾病风险的可能机制。
The UK Biobank (UKBB) is a large population-based cohort that provides a unique opportunity to study the association between environmental exposure and biomarkers and to identify biomarkers as potential instruments for assessing exposure dose, health damage, and disease risks. On 462 063 participants of European ancestry, we characterized the relationship of 38 disease-relevant biomarkers, asthma diagnosis, ambient pollution, traffic factors, and genetic background. The air pollutant exposure on the UKBB cohort was fairly low (e.g., mean PM2.5concentration at 10.0 μg/m3). Nevertheless, 30 biomarkers were in association with at least one environmental factor; e.g., C-reactive protein levels were positively associated with NO (padj= 2.99 × 10–4), NO2(padj= 4.15 × 10–4), and PM2.5(padj= 1.92 × 10–6) even after multiple testing adjustment. Asthma diagnosis was associated with four pollutants (NO, NO2, PM2.5, and PM10). The largest effect size was observed in PM2.5, where a 5 μg/m3increment of exposure was associated with a 1.52 increase in asthma diagnosis (p= 4.41 × 10–13). Further, environmental exposure and genetic predisposition influenced biomarker levels and asthma diagnosis in an additive model. The exposure–biomarker associations identified in this study could serve as potential indicators for environmental exposure induced health damages. Our results also shed light on possible mechanisms whereby environmental exposure influences disease-causing biomarkers and in turn increases disease risk.