Association of short-term air pollution with systemic inflammatory biomarkers in routine blood test: a longitudinal study

被引:4
|
作者
Di, Niu [1 ]
He, Weiliang [2 ]
Zhang, Kaihua [2 ,3 ]
Cui, Jian [4 ,5 ]
Chen, Jiang [6 ]
Cheng, Jinming [2 ]
Chu, Bao [2 ]
Li, Shanshan [7 ]
Xie, Yinyu [1 ]
Xiang, Hao [1 ]
Wang, Hebo [2 ,3 ]
Chen, Gongbo [1 ]
Guo, Yuming [7 ]
机构
[1] Wuhan Univ, Sch Hlth Sci, Dept Global Hlth, Wuhan, Hubei, Peoples R China
[2] Hebei Gen Hosp, Dept Neurol, Shijiazhuang, Hebei, Peoples R China
[3] Hebei Med Univ, Shijiazhuang, Hebei, Peoples R China
[4] Chinese Acad Med Sci, Beijing Hosp, Natl Ctr Gerontol, Dept Gen Surg, Beijing, Peoples R China
[5] Chinese Acad Med Sci, Inst Geriatr Med, Beijing, Peoples R China
[6] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan, Hubei, Peoples R China
[7] Monash Univ, Sch Publ Hlth & Prevent Med, Dept Epidemiol & Prevent Med, Melbourne, Vic, Australia
基金
中国国家自然科学基金; 英国医学研究理事会; 澳大利亚国家健康与医学研究理事会;
关键词
air pollution; inflammatory biomarkers; constrained distributed lag model; PARTICULATE MATTER; CIRCULATING BIOMARKERS; LUNG-FUNCTION; CELL COUNT; EXPOSURE; MARKERS; MORTALITY; PULMONARY; POLLUTANTS; OZONE;
D O I
10.1088/1748-9326/abd9f3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The biological mechanisms behind health effects of air pollution have not been well known. Inflammation plays an important role in occurrence and development of a wide range of diseases. In this study, we assessed the effects of short-term exposure to ambient air pollution on systemic inflammatory biomarkers among 12 508 participants who underwent routine physical examination annually at the Hebei General Hospital in Shijiazhuang, China. For each participant, white blood cell count (WBC), lymphocytes, neutrophils and eosinophils were measured for two or three times during September 2016 to December 2018. Daily concentrations of nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O-3) and particulate matter less than 2.5 mu m in aerodynamic diameter (PM2.5) were interpolated to each district, where the participants worked. The linear mixed-effects regression with a constrained distributed lag model was applied to examine the associations between air pollution and inflammatory biomarkers during lag 0-14 d. It was observed that WBC, neutrophils and eosinophils [percent change (%Delta) and 95% confidence interval (95%CI)] significantly decreased by -0.07 (-0.11, -0.04), -0.08 (-0.12, -0.03) and -0.15 (-0.25, -0.05) at lag 14 d, associated with per 10 mu g m(-3) increase in O-3. WBC, lymphocytes and eosinophils (%Delta and 95%CI) significantly elevated by 0.08 (0.04, 0.12), 0.16 (0.11, 0.21) and 0.22 (0.10, 0.35) at lag 0 d, associated with per 10 mu g m(-3) increase in PM2.5. This study reveals short-term effects of air pollution on systemic inflammatory biomarkers in routine blood test, which is helpful for further study to explore the biological mechanisms.
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页数:10
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