Associations between air pollution and biomarkers of oxidative stress and lung damage in a large population-based sample of non-smoking adults in northern France

被引:0
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作者
Raphaël Bentegeac [1 ]
Djamal Achour [2 ]
Céline Grare [3 ]
Manon Muntaner [4 ]
Victoria Gauthier [2 ]
Philippe Amouyel [3 ]
Regis Matran [5 ]
Farid Zerimech [2 ]
Jean-Marc Lo Guidice [3 ]
Luc Dauchet [5 ]
机构
[1] INSERM,U1167
[2] Institut Pasteur de Lille, RID
[3] Lille University Hospital Center,AGE
[4] Lille University,ULR 4483 – IMPECS
[5] Lille University,undefined
关键词
Air pollution; Biomonitoring; Health studies; Population-based study; Transformation products/metabolites;
D O I
10.1007/s10653-025-02472-2
中图分类号
学科分类号
摘要
Air pollution is an environmental risk factor associated with lung and cardiovascular disease that may be mediated by physiological pathways such as oxidative stress. Previous studies have identified associations between air pollution and biomarkers of oxidative stress (8-OHdG, 4-HNE, and fluorescent oxidation products (FOPs)), as well as lung health marker CC16, in younger and asthmatic populations. The objective of this study of a large population-based sample of non-smoking adults was to explore the relationship between long-term and short-term atmospheric pollution exposures and plasma or urine levels of these biomarkers. Our study was a post-hoc analysis of the cross-sectional ELISABET study from 2011 to 2013. We included non-smoking inhabitants of Lille, France from the ELISABET study. We assessed mean pluri-annual residential and short-term exposures to atmospheric pollution components (PM10, NO2, and O3) and collected several biomarkers (CC16, 8-OHdG, 4-HNE, and fluorescent oxidation products (FOPs)). We searched for associations between pollutants and biomarkers using log-linear robust multivariate regressions. Our work did not show any association between short- or long-term exposure to air pollution components and CC16, 8-OHdG, 4-HNE or FOP in a large (980 subjects) sample of Lille’s general population, despite having sufficient statistical power to replicate previous findings of associations between air pollution and these biomarkers found in younger or asthmatic populations.
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