Association of systemic inflammation with marked changes in particulate air pollution in Beijing in 2008
Highlights
► During the Games, circulating MCP-1 and IL-6 were increased in the PM2.5 group. ► Macrophages were increased in the lung and visceral fat with increasing PM2.5. ► After the Games, macrophages were elevated in lung, spleen, and adipose by PM2.5. ► After the Games, neutrophils were infiltrated in the spleen by PM2.5 exposure.
Introduction
Many studies from large population cohorts have provided compelling associations between ambient fine particulate matter (PM2.5, particles less than 2.5 μm in aerodynamic diameter) air pollution exposure and increased cardiovascular morbidity and mortality (Miller et al., 2007, Pope et al., 2004), but the biologic mechanisms of these associations and underlying factors remain unclear. Although inflammation appears to play a critical role in this process as demonstrated by numerous investigations (Dandona et al., 2004, Hotamisligil, 2006, Shoelson et al., 2006), the systemic responses in inflammation are yet to be elucidated.
The ambient PM2.5 air pollution in Beijing during the 2008 Olympic and Paralympic Games (from August 8th to September 17th) decreased remarkably as a result of a series of air quality control measurements that were implemented by the Beijing municipal government, including banning the use of more than half of the motor vehicles in Beijing, moving or closing pollution-emitting factories in and around the city, and reducing heavy-duty truck traffic (Wang et al., 2009, Wang et al., 2010). The marked changes of air quality during and after the Olympic Games provided a unique opportunity to investigate the effects of ambient pollutant exposure and the level changes associated with systemic and tissue inflammation. A number of investigations have focused on the effect of air quality improvement on the heart rate variability, asthma and other diseases in human by using this advantage (Li et al., 2010, Liang et al., 2011, Wu et al., 2010, Wu et al., 2011), few studies performed such an investigation on animals. We therefore conducted this study to evaluate the relationship between the PM2.5 exposure and changes in systemic and tissue inflammation in mice exposed to PM2.5 air pollution during and after the Olympic Games. The objectives of this study were also to determine whether reduced PM2.5 air pollution with improved air quality in Beijing during the Olympic Games was associated with a persistent reduction in inflammation.
Section snippets
Animals and diets
Male C57BL/6 mice (8-week-old) were purchased from Animal Center of Peking University (Beijing, China). All groups had access to rodent diet and water ad libitum throughout the study duration. The mice were housed on a 12-h light–dark cycle in a temperature-controlled room at 23 °C. NIH guidelines for the care and use of laboratory animals were strictly followed, and all experiments were approved by the Animal Care and Use Committee at Peking University and the Ohio State University.
Air pollutant exposure
Air
Exposure characterization
As shown in Fig. 1, PM2.5 exposure levels are presented as daily averaged PM2.5 mass concentrations measured from the sampling filter of the exposure chamber. The mean of the individual PM2.5 mass concentrations over the period of the Olympic Games (from August 8th to September 17th, 54.62 ± 5.03 μg/m3) were significantly lower than those of the period after (from September 18th to December 10th, 76.88 ± 7.68 μg/m3, P < 0.05), but still well above the 24-h U.S. National Ambient Air Quality Standard
Discussion
In this study, in view of the significant air quality improvement in Beijing during the 2008 Olympic Games, we assessed real-time, “real world” exposure to PM2.5 during and after the Olympic Games associated with statistically significant differences in exposure levels, and evaluated the relationship between PM2.5 and systemic and tissue inflammation with three major inflammatory cell lineages: neutrophil, monocyte/macrophage, and lymphocyte. The main findings of this investigation were that
Conflict of interest statement
There are no competing interests.
Acknowledgements
This work was supported in part by National Institute of Health grant ES016588, ES017412, ES018900 to Dr. Sun, Ministry of Science and Technology of China grant 2006BAI19B06 and National Science Foundation of China grant 30571534 to Dr. Guo. The authors would like to thank Hong Liu at Beijing University for her technical support.
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Contributed equally.