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Metabolic Profiling as Well as Stable Isotope Assisted Metabolic and Proteomic Analysis of RAW 264.7 Macrophages Exposed to Ship Engine Aerosol Emissions: Different Effects of Heavy Fuel Oil and Refined Diesel Fuel

Sapcariu, Sean C.; Kanashova, Tamara; Dilger, Marco 1; Diabaté, Silvia 1; Oeder, Sebastian; Passig, Johannes; Radischat, Christian; Buters, Jeroen; Sippula, Olli; Streibel, Thorsten; Paur, Hanns-Rudolf 2; Schlager, Christoph 2; Mülhopt, Sonja ORCID iD icon 2; Stengel, Benjamin; Rabe, Rom; Harndorf, Horst; Krebs, Tobias; Karg, Erwin; Gröger, Thomas; ... mehr

Abstract:

Exposure to air pollution resulting from fossil fuel combustion has been linked to multiple short-term and long term health effects. In a previous study, exposure of lung epithelial cells to engine exhaust from heavy fuel oil (HFO) and diesel fuel (DF), two of the main fuels used in marine engines, led to an increased regulation of several pathways associated with adverse cellular effects, including pro-inflammatory pathways. In addition, DF exhaust exposure was shown to have a wider response on multiple cellular regulatory levels compared to HFO emissions, suggesting a potentially higher toxicity of DF emissions over HFO. In order to further understand these effects, as well as to validate these findings in another cell line, we investigated macrophages under the same conditions as a more inflammationrelevant model. An air-liquid interface aerosol exposure system was used to provide a more biologically relevant exposure system compared to submerged experiments, with cells exposed to either the complete aerosol (particle and gas phase), or the gas phase only (with particles filtered out). Data from cytotoxicity assays were integrated with metabolomics and proteomics analyses, including stable isotope-assisted metabolomics, in order to uncover pathways affected by combustion aerosol exposure in macrophages. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000059339
Originalveröffentlichung
DOI: 10.1371/journal.pone.0157964
Scopus
Zitationen: 30
Dimensions
Zitationen: 32
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Chemie (ITC)
Institut für Toxikologie und Genetik (ITG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2016
Sprache Englisch
Identifikator ISSN: 1932-6203
urn:nbn:de:swb:90-593391
KITopen-ID: 1000059339
HGF-Programm 47.01.01 (POF III, LK 01) Biol.Netzwerke u.Synth.Regulat. ITG+ITC
Erschienen in PLoS one
Verlag Public Library of Science (PLoS)
Band 11
Heft 6
Seiten e0157964
Vorab online veröffentlicht am 27.06.2016
Nachgewiesen in Web of Science
Dimensions
Scopus
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