文章摘要
诸铭轩,吉晨,朱夏,庞官连,朱兆鹏,李樵,王国庆,葛文静,朱猛.空气污染物对肺功能变化的影响:一项基于英国生物银行的人群关联研究[J].中华流行病学杂志,2024,45(8):1059-1065
空气污染物对肺功能变化的影响:一项基于英国生物银行的人群关联研究
The effect of air pollution on lung function changes: a population-based association study from United Kingdom Biobank
收稿日期:2024-03-07  出版日期:2024-08-22
DOI:10.3760/cma.j.cn112338-20240307-00106
中文关键词: 空气污染物  肺功能变化  遗传因素  关联分析
英文关键词: Air pollution  Lung function changes  Genetic factors  Association analysis
基金项目:江苏省优秀青年基金(BK20220100)
作者单位E-mail
诸铭轩 南京医科大学公共卫生学院流行病学系, 南京 211166  
吉晨 南京医科大学公共卫生学院流行病学系, 南京 211166  
朱夏 南京医科大学公共卫生学院流行病学系, 南京 211166  
庞官连 南京医科大学公共卫生学院流行病学系, 南京 211166  
朱兆鹏 南京医科大学公共卫生学院流行病学系, 南京 211166  
李樵 南京医科大学公共卫生学院流行病学系, 南京 211166  
王国庆 南京医科大学公共卫生学院流行病学系, 南京 211166  
葛文静 南京医科大学公共卫生学院流行病学系, 南京 211166  
朱猛 南京医科大学公共卫生学院流行病学系, 南京 211166
南京医科大学省部共建肿瘤个体化医学协同创新中心, 南京 211166 
zhmnjmu@njmu.edu.cn 
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中文摘要:
      目的 探讨空气污染物对肺功能动态变化的影响,探索遗传因素在肺功能及其变化中的作用。方法 基于英国生物银行中14 506名拥有基线和随访2次完整肺功能测试数据的参与者,采用土地利用回归模型估算颗粒物[包括空气动力学直径≤2.5 μm和≤10 μm的可吸入颗粒物(PM2.5和PM10)]、二氧化氮(NO2)和氮氧化物(NOx)浓度,利用基线和随访的肺功能测试结果计算肺功能年均变化值,使用遗传变异构建肺功能[第一秒用力呼气容积(FEV1)、用力肺活量(FVC)、一秒率(FEV1/FVC)]相关多基因风险评分(PRS),通过多元线性回归模型分析空气污染物浓度与肺功能变化的关联,并分析遗传因素对肺功能及其变化的影响。结果 PM2.5、PM10、NO2和NOx与FVC变化均呈负相关[PM2.5:-6.66(95%CI:-9.92~-3.40)ml/年;PM10:-0.40(95%CI:-0.77~-0.03)ml/年;NO2:-1.84(95%CI:-2.60~-1.07)ml/年;NOx:-1.37(95%CI:-2.27~-0.46)ml/年],且PM2.5、PM10、NO2与FEV1变化呈负相关[PM2.5:-3.19(95%CI:-5.79~-0.59)ml/年;PM10:-3.00(95%CI:-5.92~-0.08)ml/年;NO2:-0.95(95%CI:-1.56~-0.34)ml/年]。肺功能PRS与基线肺功能(FVC、FEV1和FEV1/FVC)及肺功能变化均呈正相关(均β>0,均P<0.001)。在不同PRS分层分析中,空气污染物对肺功能变化的影响效应依旧显著,且不存在明显异质性。结论 肺功能遗传评分与基线肺功能和肺功能变化显著相关,长期暴露于空气污染物会加速FVC、FEV1等肺功能指标下降,在不同遗传风险评分的个体中空气污染物的效应一致。
英文摘要:
      Objective To investigate the impact of air pollution on dynamic changes in lung function and further explore the association between genetic factors and lung function and its changes. Methods Research data were from 14 506 participants in the United Kingdom Biobank with two complete baseline and follow-up lung function tests. Particulate matter [including particulate matter with aerodynamic diameter ≤2.5 μm and ≤10 μm (PM2.5 and PM10)], nitrogen dioxide (NO2), and nitrogen oxides (NOx) concentrations were estimated using land-use regression models. Annual changes in lung function were calculated based on baseline and follow-up lung function tests. Polygenic risk scores (PRS) of lung function [forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), and the ratio of FEV1 to FVC (FEV1/FVC)] were constructed by genetic variations. The association between air pollution concentrations and lung function changes was analyzed by multiple linear regression models, and the impact of genetic factors on lung function and its changes was also assessed. Results PM2.5, PM10, NO2, and NOx showed a negative correlation with FVC changes [PM2.5: -6.66 (95%CI: -9.92- -3.40) ml/year; PM10: -0.40 (95%CI: -0.77- -0.03) ml/year; NO2: -1.84 (95%CI: -2.60- -1.07) ml/year; NOx: -1.37 (95%CI: -2.27- -0.46) ml/year]. Additionally, PM2.5, PM10and NO2 were also negatively correlated with changes in FEV1 [PM2.5: -3.19 (95%CI: -5.79- -0.59) ml/year; PM10: -3.00 (95%CI: -5.92- -0.08) ml/year; NO2: -0.95 (95%CI: -1.56- -0.34) ml/year]. PRS of lung function were positively correlated with baseline lung function (FVC, FEV1, and FEV1/FVC) and lung function changes (all β>0, all P<0.001). In different PRS stratification analyses, the effect of air pollution on lung function changes remained significant, and there was no apparent heterogeneity. Conclusions PRS of lung function are significantly associated with baseline and lung function changes. Long-term exposure to air pollution accelerates the decline of lung function indicators such as FVC and FEV1. The effects of air pollution are consistent in individuals with different genetic risk scores.
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