Sanchez-Rodriguez Laura, Galvez-Fernandez Marta, Rojas-Benedicto Ayelén, Domingo-Relloso Arce, Amigo Nuria, Redon Josep, Monleon Daniel, Saez Guillermo, Tellez-Plaza Maria, Martin-Escudero Juan Carlos, Ramis Rebeca
Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, 28029 Madrid, Spain.
Joint Research Institute-National School of Health (IMIENS), National Distance Education University, 28029 Madrid, Spain.
Antioxidants (Basel). 2023 Dec 15;12(12):2122. doi: 10.3390/antiox12122122.
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 CHCHCO 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.
暴露于交通相关空气污染(TRAP)会产生氧化应激,并在代谢水平产生下游效应。然而,关于交通密度与代谢组学标志物的人体研究却很少。本研究的主要目的是评估居住街道的交通密度与氧化应激以及从西班牙基于人群的样本中测得的代谢组学特征之间的横断面关联。我们还通过计算机模拟探索了这些发现的潜在生物学意义。其次,我们评估了氧化应激对交通密度暴露与血浆代谢物水平变化之间关联的贡献。交通密度定义为参与者住所周围50米缓冲区内一整年的平均每日交通流量。分别通过核磁共振光谱法和高效液相色谱法对1181名奥尔特加研究参与者的样本进行血浆代谢组学特征和尿液氧化应激生物标志物的测量。交通密度与49种血浆代谢物中的7种相关,包括氨基酸、脂肪酸、细菌和能量代谢产物以及体液平衡代谢物。关于尿液氧化应激生物标志物,交通密度与谷胱甘肽氧化还原电位(GSSG/GSH%)呈正相关,与丙二醛(MDA)呈负相关。共有12条京都基因与基因组百科全书(KEGG)通路与交通相关代谢物相关。在一个由过度表达通路中包含的基因和63个氧化还原相关候选基因组成的蛋白质网络中,我们观察到了谷胱甘肽循环中的相关蛋白质。GSSG/GSH%和MDA分别占异丁酸和CHCHCO脂肪酸部分变化的14.6%和12.2%,这可归因于交通暴露。在人群水平上,暴露于交通密度与特定的尿液氧化应激和血浆代谢物相关。尽管我们的结果支持氧化应激作为交通相关代谢改变的生物学中介的作用,对细菌和脂质代谢可能有影响,但仍需要更多的机制研究和前瞻性研究来证实我们的发现。