Personal exposure to fine particulate matter, lung function and serum club cell secretory protein (Clara)

Wang, Cuicui; Cai, Jing; Chen, Renjie; Shi, Jingjin; Yang, Changyuan; Li, Huichu; Lin, Zhijing; Meng, Xia; Liu, Cong; Niu, Yue; Xia, Yongde; Zhao, Zhuohui; Li, Weihua; Kan, Haidong

doi:10.1016/j.envpol.2017.02.068

Cited by 65 publications

(44 citation statements)

References 43 publications

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“…The total effect of CAP exposure on abnormality in glucose homeostasis ( X ) was assumed to be decomposed into a direct effect ( Y ) and an indirect effect ( M ) that is mediated by alteration in gut microbiota. [ 25 ] The mediation was then calculated based on two linear mixed effect (LME) models as demonstrated below [ 26 ]: …”

Section: Methodsmentioning

confidence: 99%

Exposure to concentrated ambient PM2.5 alters the composition of gut microbiota in a murine model

et al. 2018

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BackgroundExposure to ambient fine particulate matter (PM2.5) correlates with abnormal glucose homeostasis, but the underlying biological mechanism has not been fully understood. The gut microbiota is an emerging crucial player in the homeostatic regulation of glucose metabolism. Few studies have investigated its role in the PM2.5 exposure-induced abnormalities in glucose homeostasis.MethodsC57Bl/6J mice were exposed to filtered air (FA) or concentrated ambient PM2.5 (CAP) for 12 months using a versatile aerosol concentration enrichment system (VACES) that was modified for long-term whole-body exposures. Their glucose homeostasis and gut microbiota were examined and analysed by correlation and mediation analysis.ResultsIntraperitoneal glucose tolerance test (IPGTT) and insulin tolerance test (ITT) showed that CAP exposure markedly impaired their glucose and insulin tolerance. Faecal microbiota analysis demonstrated that the impairment in glucose homeostasis was coincided with decreased faecal bacterial ACE and Chao-1 estimators (the indexes of community richness), while there was no significant change in all faecal fungal alpha diversity estimators. The Pearson’s correlation analyses showed that the bacterial richness estimators were correlated with glucose and insulin tolerance, and the mediation analyses displayed a significant mediation of CAP exposure-induced glucose intolerance by the alteration in the bacterial Chao-1 estimator. LEfSe analyses revealed 24 bacterial and 21 fungal taxa differential between CAP- and FA-exposed animals. Of these, 14 and 20 bacterial taxa were correlated with IPGTT AUC and ITT AUC, respectively, and 5 fungal taxa were correlated with abnormalities in glucose metabolism.ConclusionsChronic exposure to PM2.5 causes gut dysbiosis and may subsequently contribute to the development of abnormalities in glucose metabolism.

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Section: Methodsmentioning

confidence: 99%

Exposure to concentrated ambient PM2.5 alters the composition of gut microbiota in a murine model

et al. 2018

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“…PM is thought to cause direct damage to the lungs, bronchi and skin 6 , 7 as well as an abnormal inflammatory response and coagulopathy, resulting in various diseases. 8 , 9 PM can have a more harmful impact on patients with pulmonary diseases, such as COPD.…”

Section: Introductionmentioning

confidence: 99%

Harmful impact of air pollution on severe acute exacerbation of chronic obstructive pulmonary disease: particulate matter is hazardous

Choi¹,

Oh²,

Lee³

et al. 2018

COPD

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IntroductionParticulate matter and air pollution in Korea are becoming worse. There is a lack of research regarding the impact of particulate matter on patients with COPD. Therefore, the purpose of this study was to investigate the effects of various air pollution factors, including particulate matter, on the incidence rate of severe acute exacerbations of COPD (AECOPD) events.MethodsWe analyzed the relationship between air pollutants and AECOPD events that required hospitalization at Guro Hospital in Korea from January 1, 2015 to May 31, 2017. We used general linear models with Poisson distribution and log-transformation to obtain adjusted relative risk (RR). We conducted further analysis through the Comprehensive Air-quality Index (CAI) that is used in Korea.ResultsAmong various other air pollutants, particulate matter was identified as a major source of air pollution in Korea. When the CAI score was over 50, the incidence rate of severe AECOPD events was statistically significantly higher [RR 1.612, 95% CI, 1.065–2.440, P=0.024]. Additionally, the particulate matter levels 3 days before hospitalization were statistically significant [RR 1.003, 95% CI, 1.001–1.005, P=0.006].ConclusionParticulate matter and air pollution increase the incidence rate of severe AECOPD events. COPD patients should be cautioned against outdoor activities when particulate matter levels are high.

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“…With rapid economic growth, industrialization and urbanization, China has experienced a severe air pollution problem which has been recognized as a major concern. The concentrations of particulate matter with an aerodynamic diameter of 2.5μm or smaller (PM 2.5 ) have attracted special attention due to the high levels, as well as its associations with adverse effects on human health (Adamkiewicz et al, 2014;Zwozdziak et al, 2016;Wang et al, 2017) and ecosystem (Chen et al, 2014;Zhai et al, 2014;. Therefore, many regulations, standards and monitoring measures have been prioritized to control PM 2.5 emission.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variations and Influencing Factors Analysis of PM2.5 Concentrations in Jilin Province, Northeast China

2018

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High PM 2.5 concentrations and frequent air pollution episodes during late autumn and winter in Jilin Province have attracted attention in recent years. To describe the spatial and temporal variations of PM 2.5 concentrations and identify the decisive influencing factors, a large amount of continuous daily PM 2.5 concentration data collected from 33 monitoring stations over 2-year period from 2015 to 2016 were analyzed. Meanwhile, the relationships were investigated between PM 2.5 concentrations and the land cover, socioeconomic and meteorological factors from the macroscopic perspective using multiple linear regressions (MLR) approach. PM 2.5 concentrations across Jilin Province averaged 49 μg/m 3 , nearly 1.5 times of the Chinese annual average standard, and exhibited seasonal patterns with generally higher levels during late autumn and over the long winter than the other seasons. Jilin Province could be divided into three kinds of sub-regions according to 2-year average PM 2.5 concentration of each city. Most of the spatial variation in PM 2.5 levels could be explained by forest land area, cultivated land area, urban greening rate, coal consumption and soot emissions of cement manufacturing. In addition, daily PM 2.5 concentrations had negative correlation with daily precipitation and positive correlation with air pressure for each city, and the spread and dilution effect of wind speed on PM 2.5 was more obvious at mountainous area in Jilin Province. These results indicated that coal consumption, cement manufacturing and straw burning were the most important emission sources for the high PM 2.5 levels, while afforestation and urban greening could mitigate particulate air pollution. Meanwhile, the individual meteorological factors such as precipitation, air pressure, wind speed and temperature could influence local PM 2.5 concentration indirectly.

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Personal exposure to fine particulate matter, lung function and serum club cell secretory protein (Clara)

Abstract: Acute exposure to PM might induce an immediate decrease in lung function by virtue of the loss of pulmonary epithelium integrity.

Cited by 65 publications

References 43 publications

Exposure to concentrated ambient PM2.5 alters the composition of gut microbiota in a murine model

Exposure to concentrated ambient PM2.5 alters the composition of gut microbiota in a murine model

Harmful impact of air pollution on severe acute exacerbation of chronic obstructive pulmonary disease: particulate matter is hazardous

Spatiotemporal Variations and Influencing Factors Analysis of PM2.5 Concentrations in Jilin Province, Northeast China

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