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Environ Int. 2019 Apr 10;127:503-513. doi: 10.1016/j.envint.2019.04.003. [Epub ahead of print]

Perturbations of the arginine metabolome following exposures to traffic-related air pollution in a panel of commuters with and without asthma.

Author information

1
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA. Electronic address: donghai.liang@emory.edu.
2
Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA.
3
Department of Public Health, Ben-Gurion University of the Negev, Beer Sheva, Israel.
4
Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, USA.
5
Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York, USA.
6
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, USA.
7
Division of Environmental Health, Georgia State University School of Public Health, Atlanta, USA.
8
Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, USA.
9
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, USA.

Abstract

BACKGROUND:

Mechanisms underlying the effects of traffic-related air pollution on people with asthma remain largely unknown, despite the abundance of observational and controlled studies reporting associations between traffic sources and asthma exacerbation and hospitalizations.

OBJECTIVES:

To identify molecular pathways perturbed following traffic pollution exposures, we analyzed data as part of the Atlanta Commuters Exposure (ACE-2) study, a crossover panel of commuters with and without asthma.

METHODS:

We measured 27 air pollutants and conducted high-resolution metabolomics profiling on blood samples from 45 commuters before and after each exposure session. We evaluated metabolite and metabolic pathway perturbations using an untargeted metabolome-wide association study framework with pathway analyses and chemical annotation.

RESULTS:

Most of the measured pollutants were elevated in highway commutes (p < 0.05). From both negative and positive ionization modes, 17,586 and 9087 metabolic features were extracted from plasma, respectively. 494 and 220 unique features were associated with at least 3 of the 27 exposures, respectively (p < 0.05), after controlling confounders and false discovery rates. Pathway analysis indicated alteration of several inflammatory and oxidative stress related metabolic pathways, including leukotriene, vitamin E, cytochrome P450, and tryptophan metabolism. We identified and annotated 45 unique metabolites enriched in these pathways, including arginine, histidine, and methionine. Most of these metabolites were not only associated with multiple pollutants, but also differentially expressed between participants with and without asthma. The analysis indicated that these metabolites collectively participated in an interrelated molecular network centering on arginine metabolism, underlying the impact of traffic-related pollutants on individuals with asthma.

CONCLUSIONS:

We detected numerous significant metabolic perturbations associated with in-vehicle exposures during commuting and validated metabolites that were closely linked to several inflammatory and redox pathways, elucidating the potential molecular mechanisms of traffic-related air pollution toxicity. These results support future studies of metabolic markers of traffic exposures and the corresponding molecular mechanisms.

KEYWORDS:

Asthma; Environmentally mediated responses; High-resolution metabolomics; Metabolomics-wide association study; Traffic-related air pollution

PMID:
30981021
DOI:
10.1016/j.envint.2019.04.003
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