The research focuses on the temporal and spatial variation of PM2.5 health burden of Henan Province from 2014 to 2021. The Global Exposure Mortality Model was used to estimate the health burden attributed to PM2.5. The results are as follows: The concentration of PM2.5 showed a significant downward trend, with a spatial distribution pattern of higher in the north and the east but lower in the south and the west. The exposed population showed a decreasing trend. The overall frequency of PM2.5 concentration decrease was 0.13 μg·m-3/a. The number of PM2.5 – attributable mortality decreased from 86,297 in 2014 to 82,667 in 2021. Ischemic heart disease had the highest number of attributable mortality, with an average of 55,072 deaths per year. Chronic obstructive pulmonary disease and lung cancer had relatively high numbers, while respiratory tract infections were lower, with an average of 4,034 deaths per year.
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Particulate pollution has become one of the major issues in the mega-cities of Pakistan. As with the increase in rapid urbanization, poor air quality, climate change, and health-related issues are increasing gradually in Lahore. Therefore, the implications for the variability of air pollution need to be better understood for the improvement of air quality. So, in this article, we used aerosol robotic network (AERONET) and moderate resolution imaging spectroradiometer (MODIS) datasets along with the variability of different meteorological parameters (temperature, wind speed, relative humidity, dew point, and sea level pressure) over Lahore during 2006 to 2022. Moreover, the multi-linear regression model is used to analyse the linear relation of AERONET-retrieved aerosol optical depth (AOD) and particulate matter (PM2.5) with MODIS-retrieved AOD during the time period. Both AOD and PM2.5 increase gradually throughout the time period. AERONET-retrieved AOD showed a significant variability during the time period where each meteorological parameter gives a significant value (p < 0.05) except pressure (p > 0.05). The AERONET-retrieved AOD and PM2.5 give a strong positive value (0.78 and 0.63) of the coefficient of correlation. Seasonally, the value of the coefficient of correlation is observed high during summer (0.92) followed by autumn, spring, and winter. Considering the outcomes of this study, different methods like using better quality of fuel, use of public transport, plantation of trees, etc., can be employed to reduce air pollution.
Objectives The aim of the paper is to explore the role of lung microbiome disorder in lung tissue injury induced by exposure to particulate matter with a maximum diameter of 2.5 μm (PM2.5) and the alleviation effect of auricularia auricular-judae polysaccharide (AAP). Material and Methods Sprague Dawley rats were given PM2.5 suspension at a dose of 20 mg/l twice a week for 8 weeks. Then, 100 mg/kg or 200 mg/kg of AAP was administered to the rats after PM2.5 exposure. The bronchoalveolar lavage fluid (BALF) and lung tissue samples were collected at the end of the experiment. The BALF was meant to detect changes in lung microbiome by 16S sequences and cluster analysis, with the application of the principal component analysis and the partial least squares discriminant analysis. The levels of interferon-γ (IFN-γ), and interleukin (IL)-4, IL-8, and IL-10 in lung tissue were detected by the enzyme-linked immunosorbent assay method. The pathological changes in lung tissue were observed by hematoxylin and eosin staining. Results After PM2.5 exposure, the alveolar septum was widened, and the structures of alveolar walls were destroyed. There was inflammatory cells infiltration in the alveolar space and the interstitial space. Alpha diversity in BALF showed that the Chao1, ACE, Simpson, and Shannon values were increased, and the lung microbiome analysis revealed that the relative abundance of Firmicutes and Clostridium increased, while the relative abundance of Bacteroidetes and Akkermansia decreased. The contents of IFN-γ and IL-8 in lung tissue increased while the content of IL-10 decreased. After the administration of AAP, the alveolar structure damage was alleviated, and the interstitial hemorrhage, edema, and inflammatory cells infiltration were reduced. The Chao1 and ACE values decreased, and the taxonomic abundance values of Akkermansia were much higher. Simultaneously, the contents of IFN-γ, IL-4, and IL-8 decreased, and the content of IL-10 increased. Conclusions It was found that PM2.5 resulted in lung microbiome disorder, which might lead to the inflammation of lung tissue. It was also revealed that AAP could alleviate the inflammatory damage of lung tissue induced by PM2.5.
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