Altemose Brent, Robson Mark G, Kipen Howard M, Ohman Strickland Pamela, Meng Qingyu, Gong Jicheng, Huang Wei, Wang Guangfa, Rich David Q, Zhu Tong, Zhang Junfeng
School of Public Health, Rutgers University, Piscataway, New Jersey, USA.
School of Environmental and Biological Sciences, Rutgers University, New Brunswick, New Jersey, USA.
J Expo Sci Environ Epidemiol. 2017 May;27(3):244-250. doi: 10.1038/jes.2016.38. Epub 2016 Jul 20.
Using data collected before, during, and after the 2008 Summer Olympic Games in Beijing, this study examines associations between biomarkers of blood coagulation (vWF, sCD62P and sCD40L), pulmonary inflammation (EBC pH, EBC nitrite, and eNO), and systemic oxidative stress (urinary 8-OHdG) with sources of air pollution identified utilizing principal component analysis and with concentrations of three aldehydes of health concern. Associations between the biomarkers and the air pollution source types and aldehydes were examined using a linear mixed effects model, regressing through seven lag days and controlling for ambient temperature, relative humidity, gender, and day of week for the biomarker measurements. The biomarkers for pulmonary inflammation, particularly EBC pH and eNO, were most consistently associated with vehicle and industrial combustion, oil combustion, and vegetative burning. The biomarkers for blood coagulation, particularly vWF and sCD62p, were most consistently associated with oil combustion. Systemic oxidative stress biomarker (8-OHdG) was most consistently associated with vehicle and industrial combustion. The associations of the biomarkers were generally not significant or consistent with secondary formation of pollutants and with the aldehydes. The findings support policies to control anthropogenic pollution sources rather than natural soil or road dust from a cardio-respiratory health standpoint.
本研究利用在北京举行的2008年夏季奥运会之前、期间和之后收集的数据，考察了凝血生物标志物（血管性血友病因子、可溶性P选择素和可溶性CD40配体）、肺部炎症生物标志物（呼出气冷凝液pH值、呼出气冷凝液亚硝酸盐和呼出一氧化氮）以及全身氧化应激生物标志物（尿8-羟基脱氧鸟苷）与利用主成分分析确定的空气污染来源以及三种具有健康风险的醛类浓度之间的关联。使用线性混合效应模型检验生物标志物与空气污染来源类型和醛类之间的关联，对生物标志物测量值进行长达7天的滞后回归，并控制环境温度、相对湿度、性别和星期几。肺部炎症生物标志物，特别是呼出气冷凝液pH值和呼出一氧化氮，与车辆和工业燃烧、燃油燃烧以及植被燃烧的关联性最为一致。凝血生物标志物，特别是血管性血友病因子和可溶性P选择素，与燃油燃烧的关联性最为一致。全身氧化应激生物标志物（8-羟基脱氧鸟苷）与车辆和工业燃烧的关联性最为一致。生物标志物与污染物二次形成以及醛类之间的关联通常不显著或不一致。从心肺健康角度来看，这些发现支持控制人为污染源而非天然土壤或道路扬尘的政策。
