4.7 Article

Oxidative potential of particulate matter 2.5 as predictive indicator of cellular stress*

期刊

ENVIRONMENTAL POLLUTION
卷 230, 期 -, 页码 125-133

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2017.06.051

关键词

Diesel exhaust particles; NCI-H292; Interleukin-6; PAH; Air pollution

资金

  1. French Environment and Energy Management Agency (ADEME) [1262C0037]

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Particulate air pollution being recognized to be responsible for short and long term health effects, regulations for particulate matter with an aerodynamic diameter less than 2.5 (PM2.5) are more and more restrictive. PM2.5 regulation is based on mass without taking into account PM2.5 composition that drives toxicity. Measurement of the oxidative potential (OP) of PM could be an additional PM indicator that would encompass the PM components involved in oxidative stress, the main mechanism of PM toxicity. We compared different methods to evaluate the intrinsic oxidative potential of PM2.5 sampled in Paris and their ability to reflect the oxidative and inflammatory response in bronchial epithelial cells used as relevant target organ cells. The dithiothreitol depletion assay, the antioxidant (ascorbic acid and glutathione) depletion assay (OPAO), the plasmid scission assay and the dichlorofluorescein (DCFH) oxidation assay used to characterize the OP of PM2.5 (10-100 mu g/mL) provided positive results of different magnitude with all the PM2.5 samples used with significant correlation with different metals such as Cu and Zn as well as total polyarotnatic hydrocarbons and the soluble organic fraction. The OPAO assay showed the best correlation with the production of intracellular reactive oxygen species by NCI -H292 cell line assessed by DCFH oxidation and with the expression of anti -oxidant genes (superoxide dismutase 2, heme-oxygenase-1) as well as the proinflammatory response (Interleukin 6) when exposed from 1 to 10 mu g/cm(2). The OPAO assay appears as the most prone to predict the biological effect driven by PM2.5 and related to oxidative stress. (C) 2017 Elsevier Ltd. All rights reserved.

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