Institute for Medical Informatics, Biometrics and Epidemiology, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany; Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany.
Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology, Neuherberg, Germany.
Int J Hyg Environ Health. 2018 Apr;221(3):510-518. doi: 10.1016/j.ijheh.2018.01.016. Epub 2018 Jan 31.
Long-term exposure to ambient air pollution contributes to the global burden of disease by particularly affecting cardiovascular (CV) causes of death. We investigated the association between particle number concentration (PNC), a marker for ultrafine particles, and other air pollutants and high sensitivity C-reactive protein (hs-CRP) as a potential link between air pollution and CV disease.
We cross-sectionally analysed data from the second follow up (2013 and 2014) of the German KORA baseline survey which was conducted in 1999-2001. Residential long-term exposure to PNC and various other size fractions of particulate matter (PM with size of <10 μm in aerodynamic diameter, PM 2.5-10 μm or PM < 2.5 μm, respectively), soot (PMabs: absorbance of PM), nitrogen oxides (nitrogen dioxide NO or oxides NO, respectively) and ozone (O) were estimated by land-use regression models. Associations between annual air pollution concentrations and hs-CRP were modeled in 2252 participants using linear regression models adjusted for several confounders. Potential effect-modifiers were examined by interaction terms and two-pollutant models were calculated for pollutants with Spearman inter-correlation <0.70.
Single pollutant models for PNC, PM, PM, PMabs, NO and NO showed positive but non-significant associations with hs-CRP. For PNC, an interquartile range (2000 particles/cm) increase was associated with a 3.6% (95% CI: -0.9%, 8.3%) increase in hs-CRP. A null association was found for PM. Effect estimates were higher for women, non-obese participants, for participants without diabetes and without a history of cardiovascular disease whereas ex-smokers showed lower estimates compared to smokers or non-smokers. For O, the dose-response function suggested a non-linear relationship. In two-pollutant models, adjustment for PM strengthened the effect estimates for PNC and PM (6.3% increase per 2000 particles/cm [95% CI: 0.4%; 12.5%] and 7.3% per 16.5 μg/m [95% CI: 0.4%; 14.8%], respectively).
This study adds to a scarce but growing body of literature showing associations between long-term exposure to ultrafine particles and hs-CRP, one of the most intensely studied blood biomarkers for cardiovascular health. Our results highlight the role of ultrafine particles within the complex mixture of ambient air pollution and their inflammatory potential.
长期暴露于环境空气污染会通过特别影响心血管(CV)死亡原因来对全球疾病负担产生影响。我们研究了颗粒物数浓度(PNC)作为超细颗粒的标志物与其他空气污染物与高敏 C 反应蛋白(hs-CRP)之间的关系,hs-CRP 是空气污染与心血管疾病之间的潜在联系。
我们对德国 KORA 基础研究的第二次随访(2013 年和 2014 年)的数据进行了横断面分析,该研究于 1999-2001 年进行。通过使用土地利用回归模型,估算了 PNC 以及各种其他粒径的颗粒物(空气动力学直径<10μm 的颗粒物,PM2.5-10μm 或 PM<2.5μm,分别为 PMabs:颗粒物的吸收率)、黑碳(PMabs:颗粒物的吸收率)、氮氧化物(二氧化氮 NO 或氮氧化物 NO,分别为 O)的长期居住暴露。使用线性回归模型,在 2252 名参与者中,根据多种混杂因素对每年的空气污染浓度与 hs-CRP 之间的关系进行了建模。通过交互项检查了潜在的效应修饰剂,并为具有 Spearman 相关性<0.70 的污染物计算了双污染物模型。
单污染物模型显示,PNC、PM、PM、PMabs、NO 和 NO 与 hs-CRP 呈正相关,但无统计学意义。对于 PNC,每增加一个四分位距(2000 个粒子/cm),hs-CRP 增加 3.6%(95%CI:-0.9%,8.3%)。对于 PM,未发现关联。对于女性、非肥胖参与者、无糖尿病和心血管疾病史的参与者,效应估计值较高,而与吸烟者或非吸烟者相比,戒烟者的估计值较低。对于 O,剂量反应函数表明存在非线性关系。在双污染物模型中,调整 PM 会增强 PNC 和 PM 的效应估计值(每增加 2000 个粒子/cm,hs-CRP 增加 6.3%[95%CI:0.4%;12.5%],每增加 16.5μg/m,hs-CRP 增加 7.3%[95%CI:0.4%;14.8%])。
这项研究增加了越来越多的关于长期暴露于超细颗粒与 hs-CRP 之间关联的文献,hs-CRP 是心血管健康最受研究的血液生物标志物之一。我们的结果突出了超细颗粒在环境空气污染复杂混合物及其炎症潜力中的作用。