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细颗粒物化学成分与气道炎症之间的关联:一项针对中国健康成年人的队列研究。

Association between fine particulate matter chemical constituents and airway inflammation: A panel study among healthy adults in China.

作者信息

Shi Jingjin, Chen Renjie, Yang Changyuan, Lin Zhijing, Cai Jing, Xia Yongjie, Wang Cuicui, Li Huichu, Johnson Natalie, Xu Xiaohui, Zhao Zhuohui, Kan Haidong

机构信息

School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China.

School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai 200032, China.

出版信息

Environ Res. 2016 Oct;150:264-268. doi: 10.1016/j.envres.2016.06.022. Epub 2016 Jun 21.

Abstract

BACKGROUND

Ambient fine particulate matter (PM2.5) air pollution has been associated with increased airway inflammation, but the roles of various PM2.5 constituents remain to be determined.

OBJECTIVES

To investigate the acute effects of PM2.5 constituents on fractional exhaled nitric oxide (FeNO), a well-established biomarker of respiratory inflammation.

METHODS

A longitudinal panel study was performed among 32 healthy young adults in Shanghai, China from January 12th to February 6th, 2015. FeNO was repeatedly measured, 6-8 times per subject. Real-time mass concentration of ambient PM2.5 and chemical constituents were obtained from a nearby monitoring station. Linear mixed-effect models were applied to evaluate the association between FeNO and PM2.5 constituents, with the adjustment of age, gender, body mass index, temperature, relative humidity and day of week. The robustness of constituents' effects was also evaluated.

RESULTS

A total of 234 effective measurements of FeNO were obtained with a geometric mean of 13.1 ppb. The PM2.5-FeNO associations were strongest at lags of 0-6h and diminished at lags longer than 12h. An interquartile range increase in PM2.5 constituents (NH4(+), NO3(-), K(+), SO4(2-) and elemental carbon) at lags of 0-6h were significantly associated with increments in FeNO by 12.3%, 11.3%, 11.1%, 9.6% and 10.7%, respectively. After controlling for PM2.5 total mass and the colinearity, only elemental carbon remained significant.

CONCLUSION

Several chemical constituents of PM2.5 may impact FeNO following acute exposure. Elemental carbon in particular may be the primary component responsible for increased airway inflammation.

摘要

背景

环境细颗粒物(PM2.5)空气污染与气道炎症增加有关,但各种PM2.5成分的作用仍有待确定。

目的

研究PM2.5成分对呼出一氧化氮分数(FeNO)的急性影响,FeNO是一种公认的呼吸道炎症生物标志物。

方法

2015年1月12日至2月6日,在中国上海对32名健康年轻成年人进行了一项纵向队列研究。每位受试者重复测量FeNO,共6 - 8次。从附近监测站获取环境PM2.5及其化学成分的实时质量浓度。应用线性混合效应模型评估FeNO与PM2.5成分之间的关联,并对年龄、性别、体重指数、温度、相对湿度和星期几进行了调整。还评估了成分效应的稳健性。

结果

共获得234次有效的FeNO测量值,几何平均值为13.1 ppb。PM2.5与FeNO的关联在滞后0 - 6小时时最强,在滞后超过12小时时减弱。在滞后0 - 6小时时,PM2.5成分(NH4(+)、NO3(-)、K(+)、SO4(2-)和元素碳)的四分位数间距增加分别与FeNO增加12.3%、11.3%、11.1%、9.6%和10.7%显著相关。在控制了PM2.5总质量和共线性后,只有元素碳仍然显著。

结论

急性暴露后,PM2.5的几种化学成分可能会影响FeNO。特别是元素碳可能是导致气道炎症增加的主要成分。

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