Association of fine particulate matter constituents with chronic obstructive pulmonary disease and the effect modification of genetic susceptibility

IF 8.5 1区地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES

npj Climate and Atmospheric Science Pub Date : 2025-03-05 DOI:10.1038/s41612-025-00967-4

Meiqi Xing, Feipeng Cui, Lei Zheng, Yudiyang Ma, Jianing Wang, Linxi Tang, Ning Chen, Xinru Zhao, Yaohua Tian, Binbin Su

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Abstract

This study investigated the link between long-term exposure to PM_2.5 components and the risk of developing chronic obstructive pulmonary disease (COPD) using UK Biobank data. The exposure dataset, derived from the European Monitoring and Evaluation Program (EMEP) model, included elemental carbon (EC), organic matter (OM), ammonium (NH₄⁺), nitrate (NO₃⁻), and sulfate (SO₄²⁻). The risk of COPD was assessed using the Cox proportional hazards model, and the contribution of each component was evaluated with quantile g-computation. A polygenic risk score for COPD was used to explore genetic interactions with PM_2.5 constituents. Adjusted hazard ratios showed an increased risk for each component and the mixed exposure, with SO₄²⁻ (40.8%) contributing the most. We observed synergistic effects between genetic risk and exposure to PM_2.5, EC, NH₄⁺, and SO₄²⁻, accounting for 10–18% of total COPD risk. Prolonged exposure to PM_2.5, especially SO₄²⁻, increased the risk of COPD, with genetic factors modifying the effect.

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细颗粒物成分与慢性阻塞性肺疾病的关系及遗传易感性的影响修饰

这项研究利用英国生物银行的数据调查了长期暴露于PM2.5成分与患慢性阻塞性肺疾病（COPD）风险之间的联系。暴露数据集来自欧洲监测和评估计划（EMEP）模型，包括元素碳（EC）、有机物（OM）、铵（NH4+）、硝酸盐（NO3−）和硫酸盐（SO42−）。使用Cox比例风险模型评估COPD风险，并使用分位数g计算评估各成分的贡献。COPD的多基因风险评分用于探索PM2.5成分与基因的相互作用。调整后的风险比显示，每种成分和混合暴露的风险增加，其中SO42−(40.8%)贡献最大。我们观察到遗传风险与暴露于PM2.5、EC、NH4+和SO42−之间存在协同效应，占总COPD风险的10-18%。长时间暴露于PM2.5，尤其是SO42−，会增加COPD的风险，遗传因素会改变这种影响。

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来源期刊

npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science

CiteScore

8.80

自引率

3.30%

发文量

审稿时长

21 weeks

期刊介绍： npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols. The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.