Traffic Density Exposure, Oxidative Stress Biomarkers and Plasma Metabolomics in a Population-Based Sample: The Hortega Study

dc.contributor.authorSanchez-Rodriguez, Laura
dc.contributor.authorGalvez-Fernandez, Marta
dc.contributor.authorRojas-Benedicto, Ayelén
dc.contributor.authorDomingo-Relloso, Arce
dc.contributor.authorAmigo, Nuria
dc.contributor.authorRedon, Josep
dc.contributor.authorMonleon, Daniel
dc.contributor.authorSaez, Guillermo
dc.contributor.authorTellez-Plaza, Maria
dc.contributor.authorMartin-Escudero, Juan Carlos
dc.contributor.authorRamis, Rebeca
dc.contributor.funderAgencia Estatal de Investigación
dc.contributor.funderStrategic Action for Research in Health Sciences
dc.contributor.funderMinisterio de Economía, Comercio y Empresa
dc.contributor.funderEuropean Regional Development Fund (ERDF/FEDER)
dc.contributor.funderGeneralitat Valenciana
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2026-09-30T15:01:09Z
dc.date.issued2023-12-15
dc.description.abstractExposure to traffic-related air pollution (TRAP) generates oxidative stress, with downstream effects at the metabolic level. Human studies of traffic density and metabolomic markers, however, are rare. The main objective of this study was to evaluate the cross-sectional association between traffic density in the street of residence with oxidative stress and metabolomic profiles measured in a population-based sample from Spain. We also explored in silico the potential biological implications of the findings. Secondarily, we assessed the contribution of oxidative stress to the association between exposure to traffic density and variation in plasma metabolite levels. Traffic density was defined as the average daily traffic volume over an entire year within a buffer of 50 m around the participants’ residence. Plasma metabolomic profiles and urine oxidative stress biomarkers were measured in samples from 1181 Hortega Study participants by nuclear magnetic resonance spectroscopy and high-performance liquid chromatography, respectively. Traffic density was associated with 7 (out of 49) plasma metabolites, including amino acids, fatty acids, products of bacterial and energy metabolism and fluid balance metabolites. Regarding urine oxidative stress biomarkers, traffic associations were positive for GSSG/GSH% and negative for MDA. A total of 12 KEGG pathways were linked to traffic-related metabolites. In a protein network from genes included in over-represented pathways and 63 redox-related candidate genes, we observed relevant proteins from the glutathione cycle. GSSG/GSH% and MDA accounted for 14.6% and 12.2% of changes in isobutyrate and the CH2CH2CO fatty acid moiety, respectively, which is attributable to traffic exposure. At the population level, exposure to traffic density was associated with specific urine oxidative stress and plasma metabolites. Although our results support a role of oxidative stress as a biological intermediary of traffic-related metabolic alterations, with potential implications for the co-bacterial and lipid metabolism, additional mechanistic and prospective studies are needed to confirm our findings.
dc.description.peerreviewedYes
dc.description.sponsorshipThis research was funded by the State Agency for Research (PID2019-108973RB-C21 and C22), by Strategic Action for Research in Health Sciences (PI15/00071 and PI22CIII/00029) from the Spanish Ministry of Economy and Competitiveness and co-funded with European Funds for Regional Development (FEDER), and IDIFEDER/2021/072, CIAICO/2022/181 and INVEST/2023/180 from the Generalitat Valenciana of Spain.
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationSanchez-Rodriguez, L., Galvez-Fernandez, M., Rojas-Benedicto, A., Domingo-Relloso, A., Amigo, N., Redon, J., ... & Ramis, R. (2023). Traffic density exposure, oxidative stress biomarkers and plasma metabolomics in a population-based sample: The Hortega Study. Antioxidants, 12(12), 2122. https://doi.org/10.3390/antiox12122122
dc.identifier.doihttps://doi.org/10.3390/antiox12122122
dc.identifier.issn2076-3921
dc.identifier.officialurlhttps://www.mdpi.com/2076-3921/12/12/2122
dc.identifier.urihttps://hdl.handle.net/20.500.14417/4550
dc.issue.number12
dc.journal.titleAntioxidants
dc.language.isoeng
dc.page.total17
dc.publisherMDPI
dc.relation.entityIE Foundation
dc.relation.projectidPID2019-108973RB-C21
dc.relation.projectidPID2019-108973RB-C22
dc.relation.projectidPI15/00071
dc.relation.projectidPI22CIII/00029
dc.relation.projectidIDIFEDER/2021/072
dc.relation.projectidCIAICO/2022/181
dc.relation.projectidINVEST/2023/180
dc.relation.schoolIE School of Arts & Humanities
dc.rightsAttribution 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.keywordstraffic density
dc.subject.keywordsmetabolomics
dc.subject.keywordsair pollution
dc.subject.keywordspopulation-based
dc.subject.odsODS 3 - Salud y bienestar
dc.subject.odsODS 11 - Ciudades y comunidades sostenibles
dc.subject.unesco24 Ciencias de la Vida
dc.titleTraffic Density Exposure, Oxidative Stress Biomarkers and Plasma Metabolomics in a Population-Based Sample: The Hortega Study
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number12
dspace.entity.typePublication
relation.isAuthorOfPublicationc5bc91d5-efff-4729-b3da-966f9fe64565
relation.isAuthorOfPublication.latestForDiscoveryc5bc91d5-efff-4729-b3da-966f9fe64565

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