Umukoro Peter E, Wong Jason Y Y, Cavallari Jennifer M, Fang Shona C, Lu Chensheng, Lin Xihong, Mittleman Murray A, Schmidt Georg, Christiani David C
Department of Environmental Health (Dr Umukoro, Dr Wong, Dr Cavallari, Dr Fang, Dr Lu, Dr Christiani); Department of Epidemiology (Dr Wong, Dr Mittleman, Dr Christiani); Department of Biostatistics (Dr Lin); Department of Medicine, Stanford University, California (Dr Wong); Department of Community Medicine and Health Care, University of Connecticut Health Center, Farmington (Dr Cavallari); Cardiovascular Epidemiology Research Unit, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, Massachusetts (Dr Mittleman); Medical Department, Munich University of Technology (Dr Schmidt); DZHK (German Centre for Cardiovascular Research) Partner site Munich Heart Alliance, Germany (Dr Schmidt); and Pulmonary and Critical Care Unit, Massachusetts General Hospital/Harvard Medical School, Boston (Dr Christiani).
J Occup Environ Med. 2016 Mar;58(3):232-7. doi: 10.1097/JOM.0000000000000674.
The aim of this study was to investigate whether associations of acceleration capacity (AC) and deceleration capacity (DC) with metal-PM2.5 are mediated by inflammation.
We obtained PM2.5, C-reactive protein, interleukin (IL)-6, 8, and 10, and electrocardiograms to compute AC and DC, from 45 male welders. Mediation analyses were performed using linear mixed models to assess associations between PM2.5 exposure, inflammatory mediator, and AC or DC, controlling for covariates.
The proportion of total effect of PM2.5 on AC or DC (indirect effect) mediated through IL-6 on AC was 4% at most. Controlling for IL-6 (direct effect), a 1 mg/m increase of PM2.5 was associated with a decrease of 2.16 (95% confidence interval -0.36 to 4.69) msec in AC and a decrease of 2.51 (95% confidence interval -0.90 to 5.93) msec in DC.
IL-6 may be mediating the effect of metal particulates on AC.
本研究旨在调查加速能力（AC）和减速能力（DC）与金属细颗粒物（PM2.5）之间的关联是否由炎症介导。
我们从45名男性焊工中获取了PM2.5、C反应蛋白、白细胞介素（IL）-6、8和10以及心电图，以计算AC和DC。使用线性混合模型进行中介分析，以评估PM2.5暴露、炎症介质与AC或DC之间的关联，并对协变量进行控制。
PM2.5对AC或DC的总效应（间接效应）中，通过IL-6介导的对AC的影响最多为4%。在控制IL-6（直接效应）的情况下，PM2.5每增加1毫克/立方米，AC降低2.16（95%置信区间-0.36至4.69）毫秒，DC降低2.51（95%置信区间-0.90至5.93）毫秒。
IL-6可能介导金属颗粒物对AC的影响。
