The short- and long-term associations of particulate matter with inflammation and blood coagulation markers: A meta-analysis

被引:61
作者
Tang, Hong [1 ,2 ]
Cheng, Zilu [3 ]
Li, Na [1 ,2 ]
Mao, Shuyuan [1 ,2 ]
Ma, Runxue [1 ]
He, Haijun [1 ]
Niu, Zhiping [1 ,2 ]
Chen, Xiaolu [1 ,2 ]
Xiang, Hao [1 ,2 ]
机构
[1] Wuhan Univ, Sch Hlth Sci, Dept Global Hlth, 115 Donghu Rd, Wuhan, Peoples R China
[2] Wuhan Univ, Global Hlth Inst, 115 Donghu Rd, Wuhan, Peoples R China
[3] Wuhan Univ Technol, Sch Chem Chem Engn & Life Sci, 122 Luoshi Rd, Wuhan, Peoples R China
基金
比尔及梅琳达.盖茨基金会;
关键词
Particulate matter; Inflammation; Blood coagulation; Meta-analysis; AMBIENT AIR-POLLUTION; SUDDEN CARDIAC DEATH; SYSTEMIC INFLAMMATION; MYOCARDIAL-INFARCTION; CIRCULATING BIOMARKERS; PLASMA-FIBRINOGEN; BLACK CARBON; SOURCE APPORTIONMENT; PERSONAL EXPOSURE; OXIDATIVE STRESS;
D O I
10.1016/j.envpol.2020.115630
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Inflammation and the coagulation cascade are considered to be the potential mechanisms of ambient particulate matter (PM) exposure-induced adverse cardiovascular events. Tumor necrosis factor-alpha (TNF-alpha), interleukin-6 (IL-6), interleukin-8 (IL-8), and fibrinogen are arguably the four most commonly assayed markers to reflect the relationships of PM with inflammation and blood coagulation. This review summarized and quantitatively analyzed the existing studies reporting short- and long-term associations of PM2.5(PM with an aerodynamic diameter <= 2.5 mu m)/PM10 (PM with an aerodynamic diameter <= 10 mu m) with important inflammation and blood coagulation markers (TNF-alpha, IL-6, IL-8, fibrinogen). We reviewed relevant studies published up to July 2020, using three English databases (PubMed, Web of Science, Embase) and two Chinese databases (Wang-Fang, China National Knowledge Infrastructure). The OHAT tool, with some modification, was applied to evaluate risk of bias. Meta-analyses were conducted with random-effects models for calculating the pooled estimate of markers. To assess the potential effect modifiers and the source of heterogeneity, we conducted subgroup analyses and meta-regression analyses where appropriate. The assessment and correction of publication bias were based on Begg's and Egger's test and "trim-and-fill" analysis. We identified 44 eligible studies. For short-term PM exposure, the percent change of a 10 mu g/m(3) PM2.5 increase on TNF-alpha and fibrinogen was 3.51% (95% confidence interval (CI): 1.21%, 5.81%) and 0.54% (95% confidence interval (CI): 0.21%, 0.86%) respectively. We also found a significant short-term association between PM10 and fibrinogen (percent change = 0.17%, 95% CI: 0.04%, 0.29%). Overall analysis showed that long-term associations of fibrinogen with PM2.5 and PM10 were not significant. Subgroup analysis showed that long-term associations of fibrinogen with PM2.5 and PM10 were significant only found in studies conducted in Asia. Our findings support significant short-term associations of PM with TNF-alpha and fibrinogen. Future epidemiological studies should address the role long-term PM exposure plays in inflammation and blood coagulation markers level change. (C) 2020 The Author(s). Published by Elsevier Ltd.
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页数:18
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