Association of IL-6 with PM_{plus-plus">2.5} Components: Importance of Characterizing Filter-Based PM_{plus-plus">2.5} Following Extraction

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• 作者：Courtney Roper ; Lauren G. Chubb ; Leah Cambal ; Brett Tunno…
• 关键词：Filter ; based particulate matter ; Particulate matter toxicity ; Filter extraction ; Toxicity bias
• 刊名：Water, Air, & Soil Pollution
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：228
• 期：1
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment, general; Water Quality/Water Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Soil Science & Conservation; Hydrogeology; Climate Change/Climate Change Impacts;
• 出版者：Springer International Publishing
• ISSN：1573-2932
• 卷排序：228

文摘

Filter-based toxicology studies are conducted to establish the biological plausibility of the well-established health impacts associated with fine particulate matter (PM_2.5) exposure. Ambient PM_2.5 collected on filters is extracted into solution for toxicology applications, but frequently, characterization is nonexistent or only performed on filter-based PM_2.5, without consideration of compositional differences that occur during the extraction processes. To date, the impact of making associations to measured components in ambient instead of extracted PM_2.5 has not been investigated. Filter-based PM_2.5 was collected at locations (n = 5) and detailed characterization of both ambient and extracted PM_2.5 was performed. Alveolar macrophages (AMJ2-C11) were exposed (3, 24, and 48 h) to PM_2.5 and the pro-inflammatory cytokine interleukin (IL)-6 was measured. IL-6 release differed significantly between PM_2.5 collected from different locations; surprisingly, IL-6 release was highest following treatment with PM_2.5 from the lowest ambient concentration location. IL-6 was negatively correlated with the sum of ambient metals analyzed, as well as with concentrations of specific constituents which have been previously associated with respiratory health effects. However, positive correlations of IL-6 with extracted concentrations indicated that the negative associations between IL-6 and ambient concentrations do not accurately represent the relationship between inflammation and PM_2.5 exposure. Additionally, seven organic compounds had significant associations with IL-6 release when considering ambient concentrations, but they were not detected in the extracted solution. Basing inflammatory associations on ambient concentrations that are not necessarily representative of in vitro exposures creates misleading results; this study highlights the importance of characterizing extraction solutions to conduct accurate health impact research.