Project description:Atmospheric fine particulate matter (PM2.5) causes severe haze in China and is regarded as a threat to human health. The health effects of PM2.5 vary location by location due to the variation in size distribution, chemical com position, and sources. In this study, the cytotoxicity effect, oxidative stress, and gene expression regulation of PM2.5 in Chengdu and Chongqing, two typical urban areas in southern China, were evaluated. Urban PM2.5 in summer and winter significantly inhibited cell viability and increased reactive oxygen species (ROS) levels in A549 cells. Notably, PM2.5 in winter exhibited higher cytotoxicity and ROS level than summer. Moreover, in this study, PM2.5 commonly induced cancer-related gene expression such as cell adhesion molecule 1(PECAM1), interleukin 24 (IL24), and cytochrome P450 (CYP1A1); meanwhile, PM2.5 commonly acted on cancer-related biological functions such as cell-substrate junction, cell-cell junction, and focal adhesion. In partic ular, PM2.5 in Chengdu in summer had the highest carcinogenic potential among PM2.5 at the two sites in summer and winter. Importantly, cancer-related genes were uniquely targeted by PM2.5, such as epithelial splicing regu latory protein 1 (ESRP1) and membrane-associated ring-CH-type finger 1 (1-Mar) by Chengdu summer PM2.5; collagen type IX alpha 3 chain (COL9A3) by Chengdu winter PM2.5; SH2 domain-containing 1B (SH2D1B) by Chongqing summer PM2.5; and interleukin 1 receptor-like 1 (IL1RL1) and zinc finger protein 42 (ZNF423) by Chongqing winter PM2.5. Meanwhile, important cancer-related biological functions were specially induced by PM2.5, such as cell cycle checkpoint by Chengdu summer PM2.5; macromolecule methylation by Chengdu win ter PM2.5; endoplasmic reticulum-Golgi intermediate compartment membrane by Chongqing summer PM2.5;and cellular lipid catabolic process by Chongqing winter PM2.5. Conclusively, in the typical urban areas of southern China, both summer and winter PM2.5 illustrated significant gene regulation effects. This study contrib utes to evaluating the adverse health effects of PM2.5 in southern China and providing public health suggestions for policymakers.
Project description:Forty-six percent of the world's population resides in rural areas, the majority of whom belong to vulnerable and low-income groups. They mainly use cheap solid fuels for cooking and heating, which release a large amount of PM2.5 and cause adverse effects to human health. PM2.5 exhibits urban-rural differences in its health risk to the respiratory system. However, the majority of research on this issue has focused on respiratory diseases induced by atmospheric PM2.5 in urban areas, while rural areas have been ignored for a long time, especially the pathogenesis of respiratory diseases. This is not helpful for promoting environmental equity to aid low-income and vulnerable groups under PM2.5 pollution. Thus, this study focuses on rural atmospheric PM2.5 in terms of its chemical components, toxicological effects, respiratory disease types, and pathogenesis, represented by PM2.5 from rural areas in the Sichuan Basin, China (Rural SC-PM2.5). In this study, organic carbon is the most significant component of Rural SC-PM2.5. Rural SC-PM2.5 significantly induces cytotoxicity, oxidative stress, and inflammatory response. Based on multiomics, bioinformatics, and molecular biology, Rural SC-PM2.5 inhibits ribonucleotide reductase regulatory subunit M2 (RRM2) to disrupt the cell cycle, impede DNA replication, and ultimately inhibit lung cell proliferation. Furthermore, this study supplements and supports the epidemic investigation. Through an analysis of the transcriptome and human disease database, it is found that Rural SC-PM2.5 may mainly involve pulmonary hypertension, sarcoidosis, and interstitial lung diseases; in particular, congenital diseases may be ignored by epidemiological surveys in rural areas, including tracheoesophageal fistula, submucous cleft of the hard palate, and congenital hypoplasia of the lung. This study contributes to a greater scientific understanding of the health risks posed by rural PM2.5, elucidates the pathogenesis of respiratory diseases, clarifies the types of respiratory diseases, and promotes environmental equity.
Project description:Expression profile of E. coli BW25113 grown under standard laboratory atmosphere with a fine particulate matter (PM2.5) concentration of 17 mg m-3, under urban polluted atmosphere with a PM2.5 of 230 mg m-3 or under diesel exhaust atmosphere with a PM2.5 of 613 mg m-3. Expression profile of the diesel exhaust atmosphere-adapted E. coli strain T56-1 grown under diesel exhaust atmosphere.
Project description:Epidemiological studies have demonstrated that exposure to particulate matter (PM) ambient pollution has adverse effects on lung health, exacerbated by cigarette smoking. Fine airborne particles <2.5 µm (PM2.5) are the most harmful of the urban pollutants, and the most closely linked to respiratory disease. Based on the knowledge that the small airway epithelium (SAE) plays a central role in pathogenesis of smoking-related lung disease, we hypothesized that elevated PM2.5 levels are associated with dysregulation of SAE gene expression.
Project description:We reported the gene expression profile of T47D cells treated with the organic extract of Particulate matter 2.5 (PM2.5) sampled next to the municipal solid waste incineration plant of Bologna city. Based on a air pollution distribution model that takes the incinaration plant as point source of emission, two sites were chosen to sample particulate matter near incineration plant: "FrulloEst" representing the maximum effect of the incineration plant, "Calamosco" representing the negative control of "FrulloEst" (minimun effect of incineration plant, same effect of other air pollution fonts). Another site, "Giardini Margherita", is chosen to sample the urban background air pollution. for each site sample collection was performed in winter and in summer season.
Project description:Over the last years, evidence has grown that exposure to air pollution, in addition to impairing lung function and health in individuals of all age, can be linked to negative effects in newborn when present during pregnancy. Data suggests that intrauterine exposure of fetuses (exposure of the mother to air pollution during pregnancy) in fact exerts a negative impact on lung development. However, the means by which exposure during pregnancy affects lung development, have not been studied in depth yet. In this study, we investigated alterations of the transcriptome of the developing lung in a mouse model of gestational and early-life postnatal exposure to urban PM2.5 (from Sao Paulo, Brazil).
Project description:Bronchial epithelial cells, which line the airway of the respiratory tract, undergo genome-wide level changes in gene expression and DNA methylation particularly when exposed to fine (< 2.5 µm) PM (PM2.5). Although some of these changes have been reported in other studies, a comparison of how different doses and duration of exposure affect both the gene transcriptome and DNA methylome has not been done. We exposed BEAS-2B, a bronchial epithelial cell line, to a single exposure of high (30 µg/cm2) or low (1 µg/cm2) dose of PM2.5 (obtained from Beijing, China in 2015) for 24 hours. We also exposed BEAS-2B cells to repeated exposures of low dose (1 µg/cm2) PM2.5 every day for seven days. We then examined the transcriptomic changes (by RNA-Seq) and DNA methylomic changes (by enhanced reduced representation bisulfite sequencing). Widespread changes in gene expression occurred after cells were exposed to a single, high dose (30 µg/cm2) exposure of PM2.5 for 24 h. These genes were enriched in pathways regulating MAPK signaling, PI3K-Akt signaling, cytokine interactions, IL6, and P53. DNA methylomic analysis showed that nearly half of the differentially expressed genes were found to also have DNA methylation changes. Cells exposed to a lower dose (1 µg/cm2) of PM2.5 demonstrated a similar, but more attenuated change in gene expression. Cells exposed to repeated doses of PM2.5 for seven days, however, demonstrated a different set of genes that were differentially expressed compared to a single exposure. The DNA methylation changes that occurred with repeated, low dose exposure were also different from single high dose exposures and skewed towards overall hypomethylation. This hypomethylation corresponded with an increase in expression of ten-eleven translocation enzymes. Overall, these data demonstrate how variations in dose and duration of PM2.5 exposure induce distinct differences in the transcriptomic and DNA methylomic profile of bronchial epithelial cells.
Project description:Bronchial epithelial cells, which line the airway of the respiratory tract, undergo genome-wide level changes in gene expression and DNA methylation particularly when exposed to fine (< 2.5 µm) PM (PM2.5). Although some of these changes have been reported in other studies, a comparison of how different doses and duration of exposure affect both the gene transcriptome and DNA methylome has not been done. We exposed BEAS-2B, a bronchial epithelial cell line, to a single exposure of high (30 µg/cm2) or low (1 µg/cm2) dose of PM2.5 (obtained from Beijing, China in 2015) for 24 hours. We also exposed BEAS-2B cells to repeated exposures of low dose (1 µg/cm2) PM2.5 every day for seven days. We then examined the transcriptomic changes (by RNA-Seq) and DNA methylomic changes (by enhanced reduced representation bisulfite sequencing). Widespread changes in gene expression occurred after cells were exposed to a single, high dose (30 µg/cm2) exposure of PM2.5 for 24 h. These genes were enriched in pathways regulating MAPK signaling, PI3K-Akt signaling, cytokine interactions, IL6, and P53. DNA methylomic analysis showed that nearly half of the differentially expressed genes were found to also have DNA methylation changes. Cells exposed to a lower dose (1 µg/cm2) of PM2.5 demonstrated a similar, but more attenuated change in gene expression. Cells exposed to repeated doses of PM2.5 for seven days, however, demonstrated a different set of genes that were differentially expressed compared to a single exposure. The DNA methylation changes that occurred with repeated, low dose exposure were also different from single high dose exposures and skewed towards overall hypomethylation. This hypomethylation corresponded with an increase in expression of ten-eleven translocation enzymes. Overall, these data demonstrate how variations in dose and duration of PM2.5 exposure induce distinct differences in the transcriptomic and DNA methylomic profile of bronchial epithelial cells.