Integrated molecular response of exposure to traffic-related pollutants in the US trucking industry

• Published in: Environment international 2022-01, Vol.158, p.106957-106957, Article 106957
• Main Authors: Walker, Douglas I., Hart, Jaime E., Patel, Chirag J., Rudel, Ruthann, Chu, Jen-hwa, Garshick, Eric, Pennell, Kurt D., Laden, Francine, Jones, Dean P.
• Format: Article
• Language: English
• Subjects: Air Pollutants - analysis; Air Pollutants - toxicity; Air Pollution - analysis; Diesel exhaust; Exposomics; High-resolution mass spectrometry; Humans; Male; Metabolomics; Multi-omics; Particulate Matter - analysis; Particulate Matter - toxicity; Traffic-related pollutants; Traffic-Related Pollution; Vehicle Emissions - analysis; Vehicle Emissions - toxicity
• ISSN: 0160-4120; 1873-6750
• DOI: 10.1016/j.envint.2021.106957

[Display omitted] •Diesel exhaust pollutants were evaluated for workers in the US trucking industry.•Metabolomic alterations were associated with elemental carbon and organic carbon.•No metabolites were associated with PM2.5 exposure.•Exposure-associated metabolites were related to oxidative stress and nitric oxide production.•Gene and metabolite networks support associations with cardiopulmonary disease. Exposure to traffic-related pollutants, including diesel exhaust, is associated with increased risk of cardiopulmonary disease and mortality; however, the precise biochemical pathways underlying these effects are not known. To investigate biological response mechanisms underlying exposure to traffic related pollutants, we used an integrated molecular response approach that included high-resolution metabolomic profiling and peripheral blood gene expression to identify biological responses to diesel exhaust exposure. Plasma samples were collected from 73 non-smoking males employed in the US trucking industry between February 2009 and October 2010, and analyzed using untargeted high-resolution metabolomics to characterize metabolite associations with shift- and week-averaged levels of elemental carbon (EC), organic carbon (OC) and particulate matter with diameter ≤ 2.5 μm (PM2.5). Metabolic associations with EC, OC and PM2.5 were evaluated for biochemical processes known to be associated with disease risk. Annotated metabolites associated with exposure were then tested for relationships with the peripheral blood transcriptome using multivariate selection and network correlation. Week-averaged EC and OC levels, which were averaged across multiple shifts during the workweek, resulted in the greatest exposure-associated metabolic alterations compared to shift-averaged exposure levels. Metabolic changes associated with EC exposure suggest increased lipid peroxidation products, biomarkers of oxidative stress, thrombotic signaling lipids, and metabolites associated with endothelial dysfunction from altered nitric oxide metabolism, while OC exposures were associated with antioxidants, oxidative stress biomarkers and critical intermediates in nitric oxide production. Correlation with whole blood RNA gene expression provided additional evidence of changes in processes related to endothelial function, immune response, inflammation, and oxidative stress. We did not detect metabolic associations with PM2.5. This study provides an integrated molecular assessment of human