健康年轻人对2008年北京奥运会前后剧烈空气质量变化的心肺生物标志物反应

Junfeng Zhang, Tong Zhu, Howard Kipen, Guangfa Wang, Wei Huang, David Rich, Ping Zhu, Yuedan Wang, Shou-En Lu, Pamela Ohman-Strickland, Scott Diehl, Min Hu, Jian Tong, Jicheng Gong, Duncan Thomas
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To test the hypothesis that changes in air pollution levels are associated with changes in biomarker levels reflecting inflammation, hemostasis, oxidative stress, and autonomic tone, we recruited and retained 125 nonsmoking adults (19 to 33 years old) free of cardiorespiratory and other chronic diseases. Using the combination of a quasi-experimental design and a panel-study approach, we measured biomarkers of autonomic dysfunction (heart rate [HR*] and heart rate variability [HRV]), of systemic inflammation and oxidative stress (plasma C-reactive protein [CRP], fibrinogen, blood cell counts and differentials, and urinary 8-hydroxy-2'-deoxyguanosine [8-OHdG]), of pulmonary inflammation and oxidative stress (fractional exhaled nitric oxide [FeNO], exhaled breath condensate [EBC] pH, EBC nitrate, EBC nitrite, EBC nitrite+nitrate [sum of the concentrations of nitrite and nitrate], and EBC 8-isoprostane), of hemostasis (platelet activation [plasma sCD62P and sCD40L], platelet aggregation, and von Willebrand factor [vWF]), and of blood pressure (systolic blood pressure [SBP] and diastolic blood pressure [DBP]). These biomarkers were measured on each subject twice before, twice during, and twice after the Beijing Olympics. For each subject, repeated measurements were separated by at least one week to avoid potential residual effects from a prior measurement. We measured a large suite of air pollutants (PM2.5 [particulate matter < or = 2.5 microm in aerodynamic diameter] and constituents, sulfur dioxide [SO2], carbon monoxide [CO], nitrogen dioxide [NO2], and ozone [O3]) throughout the study at a central Beijing site near the residences and workplaces of the subjects on a daily basis. Total particle number (TPN) was also measured at a separate site. We used a time-series analysis to assess changes in pollutant concentration by period (pre-, during-, and post-Olympics periods). We used mixed-effects models to assess changes in biomarker levels by period and to estimate changes associated with increases in pollutant concentrations, controlling for ambient temperature, relative humidity (RH), sex, and the day of the week of the biomarker measurements. We conducted sensitivity analyses to assess the impact of potential temporal confounding and exposure misclassification. We observed reductions in mean concentrations for all measured pollutants except O3 from the pre-Olympics period to the during-Olympics period. On average, elemental carbon (EC) changed by -36%, TPN by -22%, SO2 by -60%, CO by -48%, and NO2 by -43% (P < 0.05 for all these pollutants). Reductions were observed in mean concentrations of PM2.5 (by -27%), sulfate (SO4(2-)) (by -13%), and organic carbon (OC) (by -23%); however, these values were not statistically significant. Both 24-hour averages and 1-hour maximums of O3 increased (by 20% and 17%, respectively) from the pre-Olympics to the during-Olympics period. In the post-Olympics period after the pollution control measures were relaxed, mean concentrations of most pollutants (with the exception of SO4(2-) and O3) increased to levels similar to or higher than pre-Olympics levels. Concomitantly and consistent with the hypothesis, we observed, from the pre-Olympics to the during-Olympics period, statistically significant (P < or = 0.05) or marginally significant (0.05 < P < 0.1) decreases in HR (-1 bpm or -1.7% [95% CI, -3.4 to -0.1]), SBP (-1.6 mmHg or -1.8% [95% CI, -3.9 to 0.4]), 8-OHdG (-58.3% [95% CI, -72.5 to -36.7]), FeNO (-60.3% [95% CI, -66.0 to -53.6]), EBC nitrite (-30.0% [95% CI, -39.3 to -19.3]), EBC nitrate (-21.5% [95% CI, -35.5 to -4.5]), EBC nitrite+nitrate (-17.6% [95% CI, -28.4 to -5.1]), EBC hydrogen ions (-46% [calculated from EBC pH], or +3.5% in EBC pH [95% CI, 2.2 to 4.9]), sCD62P (-34% [95% CI, -38.4 to -29.2]), sCD40L (-5.7% [95% CI, -10.5 to -0.7]), and vWF (-13.1% [95% CI, -18.6 to -7.5]). Moreover, the percentages of above-detection values out of all observations were significantly lower for plasma CRP and EBC 8-isoprostane in the during-Olympics period compared with the pre-Olympics period. In the post-Olympics period, the levels of the following biomarkers reversed (increased, either with or without statistical significance) from those in the during-Olympics period: SBP (10.7% [95% CI, 2.8 to 18.6]), fibrinogen (4.3% [95% CI, -1.7 to 10.2), neutrophil count (4.7% [95% CI, -7.7 to 17.0]), 8-OHdG (315% [95% CI, 62.0 to 962]), FeNO (130% [95% CI, 62.5 to 225]), EBC nitrite (159% [95% CI, 71.8 to 292]), EBC nitrate (161% [95% CI, 48.0 to 362]), EBC nitrite+nitrate (124% [95% CI, 50.9 to 233]), EBC hydrogen ions (146% [calculated from EBC pH] or -4.8% in EBC pH [95% CI, -9.4 to -0.21), sCD62P (33.7% [95% CI, 17.7 to 51.8]), and sCD40L (9.1% [95% CI, -3.7 to 23.5]). Furthermore, these biomarkers also showed statistically significant associations with multiple pollutants across different lags after adjusting for meteorologic parameters. The associations were in the directions hypothesized and were consistent with the findings from the comparisons between periods, providing further evidence that the period effects were due to changes in air quality, independent of season and meteorologic conditions or other potential confounders. Contrary to our hypothesis, however, we observed increases in platelet aggregation, red blood cells (RBCs) and white blood cells (WBCs) associated with the during-Olympics period, as well as significant negative associations of these biomarkers with pollutant concentrations. We did not observe significant changes in any of the HRV indices and DBP by period. However, we observed associations between a few HRV indices and pollutant concentrations. Changes in air pollution levels during the Beijing Olympics were associated with acute changes in biomarkers of pulmonary and systemic inflammation, oxidative stress, and hemostasis and in measures of cardiovascular physiology (HR and SBP) in healthy, young adults. 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Using the combination of a quasi-experimental design and a panel-study approach, we measured biomarkers of autonomic dysfunction (heart rate [HR*] and heart rate variability [HRV]), of systemic inflammation and oxidative stress (plasma C-reactive protein [CRP], fibrinogen, blood cell counts and differentials, and urinary 8-hydroxy-2'-deoxyguanosine [8-OHdG]), of pulmonary inflammation and oxidative stress (fractional exhaled nitric oxide [FeNO], exhaled breath condensate [EBC] pH, EBC nitrate, EBC nitrite, EBC nitrite+nitrate [sum of the concentrations of nitrite and nitrate], and EBC 8-isoprostane), of hemostasis (platelet activation [plasma sCD62P and sCD40L], platelet aggregation, and von Willebrand factor [vWF]), and of blood pressure (systolic blood pressure [SBP] and diastolic blood pressure [DBP]). These biomarkers were measured on each subject twice before, twice during, and twice after the Beijing Olympics. For each subject, repeated measurements were separated by at least one week to avoid potential residual effects from a prior measurement. We measured a large suite of air pollutants (PM2.5 [particulate matter < or = 2.5 microm in aerodynamic diameter] and constituents, sulfur dioxide [SO2], carbon monoxide [CO], nitrogen dioxide [NO2], and ozone [O3]) throughout the study at a central Beijing site near the residences and workplaces of the subjects on a daily basis. Total particle number (TPN) was also measured at a separate site. We used a time-series analysis to assess changes in pollutant concentration by period (pre-, during-, and post-Olympics periods). We used mixed-effects models to assess changes in biomarker levels by period and to estimate changes associated with increases in pollutant concentrations, controlling for ambient temperature, relative humidity (RH), sex, and the day of the week of the biomarker measurements. We conducted sensitivity analyses to assess the impact of potential temporal confounding and exposure misclassification. We observed reductions in mean concentrations for all measured pollutants except O3 from the pre-Olympics period to the during-Olympics period. On average, elemental carbon (EC) changed by -36%, TPN by -22%, SO2 by -60%, CO by -48%, and NO2 by -43% (P < 0.05 for all these pollutants). Reductions were observed in mean concentrations of PM2.5 (by -27%), sulfate (SO4(2-)) (by -13%), and organic carbon (OC) (by -23%); however, these values were not statistically significant. Both 24-hour averages and 1-hour maximums of O3 increased (by 20% and 17%, respectively) from the pre-Olympics to the during-Olympics period. In the post-Olympics period after the pollution control measures were relaxed, mean concentrations of most pollutants (with the exception of SO4(2-) and O3) increased to levels similar to or higher than pre-Olympics levels. Concomitantly and consistent with the hypothesis, we observed, from the pre-Olympics to the during-Olympics period, statistically significant (P < or = 0.05) or marginally significant (0.05 < P < 0.1) decreases in HR (-1 bpm or -1.7% [95% CI, -3.4 to -0.1]), SBP (-1.6 mmHg or -1.8% [95% CI, -3.9 to 0.4]), 8-OHdG (-58.3% [95% CI, -72.5 to -36.7]), FeNO (-60.3% [95% CI, -66.0 to -53.6]), EBC nitrite (-30.0% [95% CI, -39.3 to -19.3]), EBC nitrate (-21.5% [95% CI, -35.5 to -4.5]), EBC nitrite+nitrate (-17.6% [95% CI, -28.4 to -5.1]), EBC hydrogen ions (-46% [calculated from EBC pH], or +3.5% in EBC pH [95% CI, 2.2 to 4.9]), sCD62P (-34% [95% CI, -38.4 to -29.2]), sCD40L (-5.7% [95% CI, -10.5 to -0.7]), and vWF (-13.1% [95% CI, -18.6 to -7.5]). Moreover, the percentages of above-detection values out of all observations were significantly lower for plasma CRP and EBC 8-isoprostane in the during-Olympics period compared with the pre-Olympics period. In the post-Olympics period, the levels of the following biomarkers reversed (increased, either with or without statistical significance) from those in the during-Olympics period: SBP (10.7% [95% CI, 2.8 to 18.6]), fibrinogen (4.3% [95% CI, -1.7 to 10.2), neutrophil count (4.7% [95% CI, -7.7 to 17.0]), 8-OHdG (315% [95% CI, 62.0 to 962]), FeNO (130% [95% CI, 62.5 to 225]), EBC nitrite (159% [95% CI, 71.8 to 292]), EBC nitrate (161% [95% CI, 48.0 to 362]), EBC nitrite+nitrate (124% [95% CI, 50.9 to 233]), EBC hydrogen ions (146% [calculated from EBC pH] or -4.8% in EBC pH [95% CI, -9.4 to -0.21), sCD62P (33.7% [95% CI, 17.7 to 51.8]), and sCD40L (9.1% [95% CI, -3.7 to 23.5]). Furthermore, these biomarkers also showed statistically significant associations with multiple pollutants across different lags after adjusting for meteorologic parameters. 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引用次数: 0

摘要

空气污染与心肺疾病死亡率和发病率之间的关联已经确立,但支持这些关联背后的生物学机制的数据有限。我们设计了这项研究,通过在生物标志物水平上评估北京居民对2008年北京奥运会期间实施的前所未有的空气污染控制措施所带来的空气质量急剧变化的生物反应,来检验几种显著的假设机制。为了验证空气污染水平的变化与反映炎症、止血、氧化应激和自主神经张力的生物标志物水平的变化相关的假设,我们招募并保留了125名无心肺和其他慢性疾病的非吸烟成年人(19至33岁)。采用准实验设计和小组研究相结合的方法,我们测量了自主神经功能障碍(心率[HR*]和心率变异性[HRV])、全身炎症和氧化应激(血浆c -反应蛋白[CRP]、纤维蛋白原、血细胞计数和差异、尿8-羟基-2'-脱氧鸟苷[8-OHdG])、肺部炎症和氧化应激(呼出一氧化氮[FeNO]、呼出冷凝水[EBC] pH、EBC硝酸盐、EBC亚硝酸盐、EBC亚硝酸盐+硝酸盐[亚硝酸盐和硝酸盐浓度之和]和EBC 8-异前列腺素)、止血(血小板活化[血浆sCD62P和sCD40L]、血小板聚集和血管性血友病因子[vWF])和血压(收缩压[SBP]和舒张压[DBP])。这些生物标志物在北京奥运会之前、期间和之后分别对每个受试者进行了两次测量。对于每个受试者,重复测量间隔至少一周,以避免先前测量的潜在残留效应。在整个研究过程中,我们每天在北京市中心靠近受试者住所和工作场所的地点测量大量空气污染物(PM2.5[空气动力学直径<或= 2.5微米的颗粒物]及其成分,二氧化硫[SO2],一氧化碳[CO],二氧化氮[NO2]和臭氧[O3])。总颗粒数(TPN)也在一个单独的地点测量。我们使用时间序列分析来评估不同时期(奥运会前、奥运会期间和奥运会后)污染物浓度的变化。我们使用混合效应模型来评估不同时期生物标志物水平的变化,并在控制环境温度、相对湿度(RH)、性别和生物标志物测量的星期几的情况下,估计与污染物浓度增加相关的变化。我们进行敏感性分析以评估潜在的时间混淆和暴露错误分类的影响。我们观察到,从奥运会前到奥运会期间,除O3外,所有测量到的污染物的平均浓度都有所下降。元素碳(EC)平均变化幅度为-36%,TPN变化幅度为-22%,SO2变化幅度为-60%,CO变化幅度为-48%,NO2变化幅度为-43% (P < 0.05)。PM2.5的平均浓度下降了27%,硫酸盐(SO4(2-))下降了13%,有机碳(OC)下降了23%;然而,这些值没有统计学意义。从奥运会前到奥运会期间,O3的24小时平均值和1小时最大值分别增加了20%和17%。在污染控制措施放松后的奥运后时期,大多数污染物(SO4(2-)和O3除外)的平均浓度增加到与奥运前水平相似或更高的水平。与此同时符合这一假说,我们观察到,从奥运会到during-Olympics时期,具有统计学意义(P < = 0.05)或近乎显著(0.05 < P < 0.1)降低人力资源(1 bpm或-1.7% (95% CI, -3.4 - -0.1)), SBP (-1.6 mmHg或-1.8% (95% CI, -3.9 - 0.4)), 8-OHdG (-58.3% (95% CI, -72.5 - -36.7)), FeNO (-60.3% (95% CI, -66.0 - -53.6)), EBC亚硝酸盐(-30.0% (95% CI, -39.3 - -19.3)), EBC硝酸(-21.5% (95% CI, -35.5 - -4.5)),EBC亚硝酸盐+硝酸盐(-17.6% [95% CI, -28.4至-5.1]),EBC氢离子(-46%[由EBC pH计算],或EBC pH +3.5% [95% CI, 2.2至4.9]),sCD62P (-34% [95% CI, -38.4至-29.2]),sCD40L (-5.7% [95% CI, -10.5至-0.7])和vWF (-13.1% [95% CI, -18.6至-7.5])。此外,与奥运会前相比,奥运会期间血浆CRP和EBC 8-异前列腺素高于所有观测值的百分比显着降低。在奥运会后,与奥运会期间相比,以下生物标志物的水平发生逆转(增加,有或无统计学意义):SBP (10.7% [95% CI, 2.8至18.6])、纤维蛋白原(4.3% [95% CI, -1.7至10.2)、中性粒细胞计数(4.7% [95% CI, -7.7至17.0])、8-OHdG (315% [95% CI, 62.0至962])、FeNO (130% [95% CI, 62.5至225])、EBC亚硝酸盐(159% [95% CI, 71)。 8至292]),EBC硝酸盐(161% [95% CI, 48.0至362]),EBC亚硝酸盐+硝酸盐(124% [95% CI, 50.9至233]),EBC氢离子(146%[从EBC pH计算]或EBC pH的-4.8% [95% CI, -9.4至-0.21]),sCD62P (33.7% [95% CI, 17.7至51.8])和sCD40L (9.1% [95% CI, -3.7至23.5])。此外,在调整气象参数后,这些生物标志物还显示出与不同滞后的多种污染物的统计显著相关性。这些关联与假设的方向一致,与不同时期的比较结果一致,进一步证明了时期效应是由空气质量的变化引起的,与季节和气象条件或其他潜在的混杂因素无关。然而,与我们的假设相反,我们观察到与奥运会期间相关的血小板聚集、红细胞(rbc)和白细胞(wbc)的增加,以及这些生物标志物与污染物浓度的显著负相关。我们没有观察到任何HRV指数和舒张压随时间的显著变化。然而,我们观察到一些HRV指数与污染物浓度之间存在关联。北京奥运会期间空气污染水平的变化与健康年轻人肺部和全身炎症、氧化应激和止血的生物标志物以及心血管生理学(HR和收缩压)的急性变化有关。这些变化支持了空气污染对心肺影响的重要假设机制途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cardiorespiratory biomarker responses in healthy young adults to drastic air quality changes surrounding the 2008 Beijing Olympics.

Associations between air pollution and cardiorespiratory mortality and morbidity have been well established, but data to support biologic mechanisms underlying these associations are limited. We designed this study to examine several prominently hypothesized mechanisms by assessing Beijing residents' biologic responses, at the biomarker level, to drastic changes in air quality brought about by unprecedented air pollution control measures implemented during the 2008 Beijing Olympics. To test the hypothesis that changes in air pollution levels are associated with changes in biomarker levels reflecting inflammation, hemostasis, oxidative stress, and autonomic tone, we recruited and retained 125 nonsmoking adults (19 to 33 years old) free of cardiorespiratory and other chronic diseases. Using the combination of a quasi-experimental design and a panel-study approach, we measured biomarkers of autonomic dysfunction (heart rate [HR*] and heart rate variability [HRV]), of systemic inflammation and oxidative stress (plasma C-reactive protein [CRP], fibrinogen, blood cell counts and differentials, and urinary 8-hydroxy-2'-deoxyguanosine [8-OHdG]), of pulmonary inflammation and oxidative stress (fractional exhaled nitric oxide [FeNO], exhaled breath condensate [EBC] pH, EBC nitrate, EBC nitrite, EBC nitrite+nitrate [sum of the concentrations of nitrite and nitrate], and EBC 8-isoprostane), of hemostasis (platelet activation [plasma sCD62P and sCD40L], platelet aggregation, and von Willebrand factor [vWF]), and of blood pressure (systolic blood pressure [SBP] and diastolic blood pressure [DBP]). These biomarkers were measured on each subject twice before, twice during, and twice after the Beijing Olympics. For each subject, repeated measurements were separated by at least one week to avoid potential residual effects from a prior measurement. We measured a large suite of air pollutants (PM2.5 [particulate matter < or = 2.5 microm in aerodynamic diameter] and constituents, sulfur dioxide [SO2], carbon monoxide [CO], nitrogen dioxide [NO2], and ozone [O3]) throughout the study at a central Beijing site near the residences and workplaces of the subjects on a daily basis. Total particle number (TPN) was also measured at a separate site. We used a time-series analysis to assess changes in pollutant concentration by period (pre-, during-, and post-Olympics periods). We used mixed-effects models to assess changes in biomarker levels by period and to estimate changes associated with increases in pollutant concentrations, controlling for ambient temperature, relative humidity (RH), sex, and the day of the week of the biomarker measurements. We conducted sensitivity analyses to assess the impact of potential temporal confounding and exposure misclassification. We observed reductions in mean concentrations for all measured pollutants except O3 from the pre-Olympics period to the during-Olympics period. On average, elemental carbon (EC) changed by -36%, TPN by -22%, SO2 by -60%, CO by -48%, and NO2 by -43% (P < 0.05 for all these pollutants). Reductions were observed in mean concentrations of PM2.5 (by -27%), sulfate (SO4(2-)) (by -13%), and organic carbon (OC) (by -23%); however, these values were not statistically significant. Both 24-hour averages and 1-hour maximums of O3 increased (by 20% and 17%, respectively) from the pre-Olympics to the during-Olympics period. In the post-Olympics period after the pollution control measures were relaxed, mean concentrations of most pollutants (with the exception of SO4(2-) and O3) increased to levels similar to or higher than pre-Olympics levels. Concomitantly and consistent with the hypothesis, we observed, from the pre-Olympics to the during-Olympics period, statistically significant (P < or = 0.05) or marginally significant (0.05 < P < 0.1) decreases in HR (-1 bpm or -1.7% [95% CI, -3.4 to -0.1]), SBP (-1.6 mmHg or -1.8% [95% CI, -3.9 to 0.4]), 8-OHdG (-58.3% [95% CI, -72.5 to -36.7]), FeNO (-60.3% [95% CI, -66.0 to -53.6]), EBC nitrite (-30.0% [95% CI, -39.3 to -19.3]), EBC nitrate (-21.5% [95% CI, -35.5 to -4.5]), EBC nitrite+nitrate (-17.6% [95% CI, -28.4 to -5.1]), EBC hydrogen ions (-46% [calculated from EBC pH], or +3.5% in EBC pH [95% CI, 2.2 to 4.9]), sCD62P (-34% [95% CI, -38.4 to -29.2]), sCD40L (-5.7% [95% CI, -10.5 to -0.7]), and vWF (-13.1% [95% CI, -18.6 to -7.5]). Moreover, the percentages of above-detection values out of all observations were significantly lower for plasma CRP and EBC 8-isoprostane in the during-Olympics period compared with the pre-Olympics period. In the post-Olympics period, the levels of the following biomarkers reversed (increased, either with or without statistical significance) from those in the during-Olympics period: SBP (10.7% [95% CI, 2.8 to 18.6]), fibrinogen (4.3% [95% CI, -1.7 to 10.2), neutrophil count (4.7% [95% CI, -7.7 to 17.0]), 8-OHdG (315% [95% CI, 62.0 to 962]), FeNO (130% [95% CI, 62.5 to 225]), EBC nitrite (159% [95% CI, 71.8 to 292]), EBC nitrate (161% [95% CI, 48.0 to 362]), EBC nitrite+nitrate (124% [95% CI, 50.9 to 233]), EBC hydrogen ions (146% [calculated from EBC pH] or -4.8% in EBC pH [95% CI, -9.4 to -0.21), sCD62P (33.7% [95% CI, 17.7 to 51.8]), and sCD40L (9.1% [95% CI, -3.7 to 23.5]). Furthermore, these biomarkers also showed statistically significant associations with multiple pollutants across different lags after adjusting for meteorologic parameters. The associations were in the directions hypothesized and were consistent with the findings from the comparisons between periods, providing further evidence that the period effects were due to changes in air quality, independent of season and meteorologic conditions or other potential confounders. Contrary to our hypothesis, however, we observed increases in platelet aggregation, red blood cells (RBCs) and white blood cells (WBCs) associated with the during-Olympics period, as well as significant negative associations of these biomarkers with pollutant concentrations. We did not observe significant changes in any of the HRV indices and DBP by period. However, we observed associations between a few HRV indices and pollutant concentrations. Changes in air pollution levels during the Beijing Olympics were associated with acute changes in biomarkers of pulmonary and systemic inflammation, oxidative stress, and hemostasis and in measures of cardiovascular physiology (HR and SBP) in healthy, young adults. These changes support the prominently hypothesized mechanistic pathways underlying the cardiorespiratory effects of air pollution.

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