TY - JOUR
T1 - Association of air pollution sources and aldehydes with biomarkers of blood coagulation, pulmonary inflammation, and systemic oxidative stress
AU - Altemose, Brent
AU - Robson, Mark G.
AU - Kipen, Howard M.
AU - Strickland, Pamela Ohman
AU - Meng, Qingyu
AU - Gong, Jicheng
AU - Huang, Wei
AU - Wang, Guangfa
AU - Rich, David Q.
AU - Zhu, Tong
AU - Zhang, Junfeng
N1 - Funding Information: We thank the HEART study team for their effort in sample and data collection and previous data analyses. The HEART study was originally funded in part by a grant from HEI (#4760-RPFA05-3) and a grant from NIEHS (#1R01 ES0158640), as well NIEHS P30 Center Grant ES005022. Dr. Zhu was partly funded by Beijing EPA (OITCG08026056). However, the opinions expressed in this manuscript are solely of the authors and do not necessarily reflects those of the funding agencies. Publisher Copyright: © 2017 Nature America, Inc., part of Springer Nature. All rights reserved.
PY - 2017/5/1
Y1 - 2017/5/1
N2 - 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.
AB - 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.
KW - Air pollution
KW - Aldehydes
KW - Cardiorespiratory biomarkers
KW - Olympics
KW - Pollutant sources
KW - Principal component analysis
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U2 - https://doi.org/10.1038/jes.2016.38
DO - https://doi.org/10.1038/jes.2016.38
M3 - Article
C2 - 27436693
VL - 27
SP - 244
EP - 250
JO - Journal of Exposure Science and Environmental Epidemiology
JF - Journal of Exposure Science and Environmental Epidemiology
SN - 1559-0631
IS - 3
ER -