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Tytuł pozycji:

Association of IL-6 with PM 2.5 Components: Importance of Characterizing Filter-Based PM 2.5 Following Extraction.

Tytuł :
Association of IL-6 with PM 2.5 Components: Importance of Characterizing Filter-Based PM 2.5 Following Extraction.
Autorzy :
Roper C; Department of Environmental and Occupational Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Chubb LG; Department of Environmental and Occupational Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA, Office of Mine Safety and Health Research, National Institute for Occupational Safety and Health, Pittsburgh, PA, USA.
Cambal L; Department of Environmental and Occupational Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Tunno B; Department of Environmental and Occupational Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Clougherty JE; Department of Environmental and Occupational Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Fattman C; Department of Environmental and Occupational Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA.
Mischler SE; Department of Environmental and Occupational Health, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA, Office of Mine Safety and Health Research, National Institute for Occupational Safety and Health, Pittsburgh, PA, USA.
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Źródło :
Water, air, and soil pollution [Water Air Soil Pollut] 2017 Jan; Vol. 228. Date of Electronic Publication: 2016 Dec 28.
Typ publikacji :
Journal Article
Język :
English
Imprint Name(s) :
Publication: <2000->: Dordrecht, The Netherlands ; Norwell, MA : Kluwer Academic Publishers
Original Publication: Dordrecht, Holland, Reidel.
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Grant Information :
CC999999 United States Intramural CDC HHS
Contributed Indexing :
Keywords: Filter extraction; Filter-based particulate matter; Particulate matter toxicity; Toxicity bias
Entry Date(s) :
Date Created: 20171010 Latest Revision: 20191120
Update Code :
20210623
PubMed Central ID :
PMC5628506
DOI :
10.1007/s11270-016-3219-y
PMID :
28989204
Czasopismo naukowe
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.

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