Polycyclic aromatic hydrocarbons (PAHs) are considered as an external factor that induces atherosclerotic cardiovascular disease. Although miR‐155 is known to be involved in cardiovascular disease, whether it is involved in PAH‐induced arteriosclerosis remains unclear. We evaluated the effects of PAHs on vascularization, permeability, and miR‐155 expression in HUVECs. We found that PAHs‐induced sclerosis of HUVECs was characterized by increasing permeability, decreasing proliferation, and vascular lumen number. The expression of miR‐155 was upregulated by PAHs treatment, and transfection with miR‐155 inhibitor could reverse above effect of PAHs‐induced sclerosis. Meanwhile, transcriptome sequencing revealed that 63 genes were downregulated in the group of PAHs treatment alone, and were then upregulated in the miR‐155 inhibitor group. These genes were mainly involved in complement and coagulation cascades, cytokine‐cytokine receptor interaction, TNF signaling pathway, and NF‐kappa B signaling pathway. Among these 63 genes, SERPIND1 was directly targeted and regulated by miR‐155. Further in vivo experiments in ApoE−/− mice confirmed that PAH accelerates the development of arteriosclerosis by promoting the expression of miR‐155 to downregulate the SERPIND1. Therefore, PAH exaggerates atherosclerosis by activating miR‐155‐dependent endothelial injury. This study provides a fundamental insight on the miR‐155 mechanism for PAHs enhancing atherosclerosis and miR‐155 potentially serving as a novel drug target.

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With the progress of air pollution control in China, the concentration of particulate matter has decreased, but the concentration of ozone has increased, the problem of complex air pollution has become more severe, posing a serious threat to public health. However, there is less study on the health effects of complex air pollution in China. Instead of introducing pollutant concentrations directly, we converted them into a set of predictors to prevent collinearity and other problems will occur when the concentrations of multiple correlated pollutants are introduced in general multi-pollution models. Based on different combinations of PM2.5, NO2, and O3 concentration levels, air pollutant constituent condition is divided into eight types, including three single-pollutant types and four multi-pollutant types. The health effects of different pollution types on mortality in eight typical Chinese cities from 2013 to 2016 were evaluated using a generalized additive model. The results from eight cities collectively indicate that multi-pollutant type leads to a higher impact on mortality risk than single-pollutant type. Type 7 with higher PM2.5, O3, and NO2 and type 4 with higher PM2.5 and NO2 have a greater relative risk among them. In most northern cities, the multi-pollutant type has a higher mortality effect in the warm season, but the single-pollutant type with high PM2.5 has a higher effect in the cold season. In southeastern cities, the multi-pollutant type had a higher mortality effect in both seasons. The results also showed that the excess risk of multi-pollutants was less than the simple sum of individual air pollutants effects, partially false conclusions would have been reached by ignoring the presence of interactions between air pollutants. The result further highlights the urgency and necessity of moving towards a multi-pollutant approach in air pollution health research under the background of atmospheric emission reduction and global warming.

Based on GIS (Geographic Information System) software, applied the black carbon (BC)and ne particulate matter (PM 2.5 )concentration ratio method, this paper analyzed and calculated the national BC concentration distribution from 2015 to 2017, and evaluated the national human exposure of BC. The results show that from 2015 to 2017, 2/3 of the national land and nearly half of the population were exposed to the concentration range of 1-3 ug/m 3 , and the area and population exposed to the concentration below 2 ug/m 3 increased year by year, while the area and population exposed to the concentration above 9 ug/m 3 decreased year by year. The estimated results of economic loss show that 77.3% of the targeted districts or counties claimed a loss per square kilometer of 50 million RMB or less From the perspective of annual changes, districts and counties in Beijing-Tianjin-Hebei and Hunan with annual losses between 50 and 500 million RMB show an increasing trend. Meanwhile, the BC ratio (the proportion of black carbon economic loss to GDP) of Beijing-Tianjin-Hebei and Hunan also shows an increasing trend year by year.