RT info:eu-repo/semantics/article
T1 Traffic density exposure, oxidative stress biomarkers and plasma metabolomics in a population-based sample: The Hortega study
A1 Sanchez Rodriguez, Laura
A1 Galvez Fernandez, Marta
A1 Rojas Benedicto, Ayelén
A1 Domingo Relloso, Arce
A1 Amigo, Nuria
A1 Redon, Josep
A1 Monleon Salvado, Daniel
A1 Saez Tormo, Guillermo
A1 Tellez Plaza, Maria
A1 Martín Escudero, Juan Carlos
A1 Ramis, Rebeca
K1 Traffic density
K1 Tráfico
K1 Metabolomics
K1 Air - Pollution
K1 Aire - Contaminacion
K1 Oxidative stress
K1 Estrés oxidativo
K1 Metabolites
K1 Aire - Contaminación - España
K1 Public health
K1 2509.02 Contaminación Atmosférica
K1 32 Ciencias Médicas
K1 3212 Salud Publica
AB Exposure 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.
PB MDPI
SN 2076-3921
YR 2023
FD 2023
LK https://uvadoc.uva.es/handle/10324/67178
UL https://uvadoc.uva.es/handle/10324/67178
LA eng
NO Antioxidants, 2023, Vol. 12, Nº. 12, 2122
NO Producción Científica
DS UVaDOC
RD 12-jul-2024