کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8853953 | 1618907 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Ultrafine particle libraries for exploring mechanisms of PM2.5-induced toxicity in human cells
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم محیط زیست
شیمی زیست محیطی
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Air pollution worldwide, especially in China and India, has caused serious health issues. Because PM2.5 particles consist of solid particles of diverse properties with payloads of inorganic, organic and biological pollutants, it is still not known what the major toxic components are and how these components induce toxicities. To explore this complex issue, we apply reductionism principle and an ultrafine particle library approach in this work. From investigation of 63 diversely functionalized ultrafine particles (FUPs) with adsorbed key pollutants, our findings indicate that 1) only certain pollutants in the payloads of PM2.5 are responsible for causing cellular oxidative stress, cell apoptosis, and cytotoxicity while the particle carriers are much less toxic; 2) pollutant-induced cellular oxidative stress and oxidative stress-triggered apoptosis are identified as one of the dominant mechanisms for PM2.5-induced cytotoxicity; 3) each specific toxic component on PM2.5 (such as As, Pb, Cr or BaP) mainly affects its specific target organ(s) and, adding together, these pollutants may cause synergistic or just additive effects. Our findings demonstrate that reductionism concept and model PM2.5 particle library approach are very effective in our endeavor to search for a better understanding of PM2.5-induced health effects.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecotoxicology and Environmental Safety - Volume 157, 15 August 2018, Pages 380-387
Journal: Ecotoxicology and Environmental Safety - Volume 157, 15 August 2018, Pages 380-387
نویسندگان
Xue Bai, Yin Liu, Shenqing Wang, Chang Liu, Fang Liu, Gaoxing Su, Xiaowu Peng, Chungang Yuan, Yiguo Jiang, Bing Yan,