國家衛生研究院 NHRI:Item 3990099045/11064
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/11064


    Title: Comprehensive approaches for investigating the pulmonary inflammopathology of exposure to nickel oxide nanoparticles in mice
    Authors: Chuang, HC;Chuang, KJ;Chen, JK;Hua, HE;Shen, YL;Liao, WN;Lee, CH;Chen, KY;Lee, KY;Hsiao, TC;Pan, CH
    Contributors: Institute of Biomedical Engineering and Nanomedicine
    Abstract: In the present study, we investigated the effects of nickel oxide NPs (NiONPs) on the pulmonary inflammopathology using comprehensive approaches. NiONPs were intratracheally installed into mice at various concentrations (10, 20, 50, and 100 μg/mouse), and lung injury and inflammation were evaluated at various time points between 1 and 28 d. Pulmonary injury and inflammation in the BALF and oxidative stress and caspase-3 levels in lung tissues were determined at 1 and 28 d. SPECT was used to evaluate the inflammatory response in lungs at 24 h of exposure. Chest CT was used to observe abnormalities in lung structures at 0, 1, 7, and 28 days. iTRAQ with LC-MS/MS was used to identify lung protein expressions and the underlying pathways at 1 and 28 days. NiONPs caused significant increases in LDH, total protein, and IL-6 and a decrease in IL-8 in the BALF and increases in 8-OHdG) and caspase-3 in lung tissues at 24 h (p < 0.05). Airway inflammation was present in a dose-dependent manner from the upper to lower airways as analyzed by SPECT. Lung parenchyma inflammation and small airway inflammation were observed by CT after NiONP exposure. 8-OHdG (p < 0.05) in lung tissues had increased with formation of fibrosis at 28 days. Focal adhesion was identified as an important pathway at 24 h, whereas glutathione metabolism was identified at 28 days. Our results demonstrated the pulmonary inflammopathology caused by NiONPs based on comprehensive approaches.
    Date: 2017-10-20
    Relation: Toxicology Letters. 2017 Oct 20;280(Suppl. 1):S142.
    Link to: http://dx.doi.org/10.1016/j.toxlet.2017.07.396
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0378-4274&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000425486700334
    Appears in Collections:[Jen-Kun Chen] Conference Papers/Meeting Abstract

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