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- W2935797649 abstract "Ambient fine particle is a crucial indicator of air pollution brought into the air by sundry natural and public events. However, a comprehensive understanding of the PM2.5-induced cytotoxicity especially the contribution of bioaerosol part is still undiscovered. Herein, an ALI microfluidics system integrated multi-omics (iTRAQ & RNA-seq) was successfully utilized to recognize the molecular mechanisms induced by microorganisms carried bioaerosol in human lung epithelial cells. The cells viability was above 98% within 21 days on this system. Moreover, the results showed that eight microorganisms-related pathways (e.g., Salmonella, amoebiasis, HTLV-1) were activated after exposure to PM2.5 for 24 h, which played a certain proportion in contributing to inflammation reaction. In addition, multi-omics demonstrated that three inflammation-related signal transduction cascades including MAPK signaling pathway, TNF signaling pathway, and TGF signaling pathway were triggered by fine particles, ultimately leading to apoptosis-related process disorder by associated cytokines like TNF, IL6, and TGF-β. Furthermore, flow cytometry analysis showed that the cell apoptosis rate increased from 3.8% to 66.7% between the cells exposed to PM2.5 (10 μg/cm2) for 24 h and untreated control cells, which indicated that the fine particles had the ability to activate apoptosis-related signal cascades and result in apoptosis. ELISA assay and western blot indicated that HO-1, JNK, IL6, TNF, NF-κB, and FGF14 were significantly increased after exposure to PM2.5 while Casp3 and FGFR were decreased, which were consistent with the multi-omics. Moreover, PM2.5 components (OC, EC, 16PAHs, As, Cu, Mn, Cl−, and NO3−) were significantly correlated to the inflammation related proteins and cytokines, which played a vital role in the inflammation and apoptosis related signaling pathways. These findings pointed to strong links among microorganisms infection, inflammation, and apoptosis in cell response to PM2.5 carried microorganisms. It also provided a new approach for understanding PM2.5-induced cytotoxicity and health risks." @default.
- W2935797649 created "2019-04-25" @default.
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- W2935797649 date "2019-08-01" @default.
- W2935797649 modified "2023-10-18" @default.
- W2935797649 title "Cytotoxicity analysis of ambient fine particle in BEAS-2B cells on an air-liquid interface (ALI) microfluidics system" @default.
- W2935797649 cites W1540345902 @default.
- W2935797649 cites W1600472471 @default.
- W2935797649 cites W1614117239 @default.
- W2935797649 cites W1845034210 @default.
- W2935797649 cites W1878399872 @default.
- W2935797649 cites W1902650061 @default.
- W2935797649 cites W1952022109 @default.
- W2935797649 cites W1975151442 @default.
- W2935797649 cites W1976295398 @default.
- W2935797649 cites W2005846870 @default.
- W2935797649 cites W2011211995 @default.
- W2935797649 cites W2011411661 @default.
- W2935797649 cites W2011567765 @default.
- W2935797649 cites W2013362232 @default.
- W2935797649 cites W2018035230 @default.
- W2935797649 cites W2024355140 @default.
- W2935797649 cites W2024844272 @default.
- W2935797649 cites W2025128734 @default.
- W2935797649 cites W2026679068 @default.
- W2935797649 cites W2035396256 @default.
- W2935797649 cites W2058611314 @default.
- W2935797649 cites W2083911670 @default.
- W2935797649 cites W2085679263 @default.
- W2935797649 cites W2087473058 @default.
- W2935797649 cites W2094835614 @default.
- W2935797649 cites W2096709242 @default.
- W2935797649 cites W2102353819 @default.
- W2935797649 cites W2111267544 @default.
- W2935797649 cites W2117326659 @default.
- W2935797649 cites W2118334417 @default.
- W2935797649 cites W2124272550 @default.
- W2935797649 cites W2130042267 @default.
- W2935797649 cites W2145866317 @default.
- W2935797649 cites W2145932816 @default.
- W2935797649 cites W2146852295 @default.
- W2935797649 cites W2148074532 @default.
- W2935797649 cites W2150106856 @default.
- W2935797649 cites W2160921718 @default.
- W2935797649 cites W2163966171 @default.
- W2935797649 cites W2171708674 @default.
- W2935797649 cites W2181798172 @default.
- W2935797649 cites W2194393313 @default.
- W2935797649 cites W2235767352 @default.
- W2935797649 cites W2236270374 @default.
- W2935797649 cites W2237475923 @default.
- W2935797649 cites W2256103742 @default.
- W2935797649 cites W2256963343 @default.
- W2935797649 cites W2262314662 @default.
- W2935797649 cites W2297872258 @default.
- W2935797649 cites W2297927800 @default.
- W2935797649 cites W2400757806 @default.
- W2935797649 cites W2468200101 @default.
- W2935797649 cites W2471828796 @default.
- W2935797649 cites W2509103617 @default.
- W2935797649 cites W2510697483 @default.
- W2935797649 cites W2551025035 @default.
- W2935797649 cites W2597759568 @default.
- W2935797649 cites W2605775809 @default.
- W2935797649 cites W2610078984 @default.
- W2935797649 cites W2611116657 @default.
- W2935797649 cites W2618596117 @default.
- W2935797649 cites W2739405852 @default.
- W2935797649 cites W2743506403 @default.
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- W2935797649 cites W2903865283 @default.
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- W2935797649 doi "https://doi.org/10.1016/j.scitotenv.2019.04.203" @default.
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