Genetic susceptibility to airway inflammation and exposure to short-term outdoor air pollution.

Autor: Bouma F; Department of Occupational and Environmental Health, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 16A, BOX 414, 40530, Gothenburg, Sweden., Nyberg F; School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg University, Gothenburg, Sweden., Olin AC; Department of Occupational and Environmental Health, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 16A, BOX 414, 40530, Gothenburg, Sweden., Carlsen HK; Department of Occupational and Environmental Health, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 16A, BOX 414, 40530, Gothenburg, Sweden. Hanne.krage.carlsen@amm.gu.se.
Jazyk: angličtina
Zdroj: Environmental health : a global access science source [Environ Health] 2023 Jun 29; Vol. 22 (1), pp. 50. Date of Electronic Publication: 2023 Jun 29.
DOI: 10.1186/s12940-023-00996-7
Abstrakt: Background: Air pollution is a large environmental health hazard whose exposure and health effects are unequally distributed among individuals. This is, at least in part, due to gene-environment interactions, but few studies exist. Thus, the current study aimed to explore genetic susceptibility to airway inflammation from short-term air pollution exposure through mechanisms of gene-environment interaction involving the SFTPA, GST and NOS genes.
Methods: Five thousand seven hundred two adults were included. The outcome measure was fraction of exhaled nitric oxide (FeNO), at 50 and 270 ml/s. Exposures were ozone (O 3 ), particulate matter < 10 µm (PM 10 ), and nitrogen dioxide (NO 2 ) 3, 24, or 120-h prior to FeNO measurement. In the SFTPA, GST and NOS genes, 24 single nucleotide polymorphisms (SNPs) were analyzed for interaction effects. The data were analyzed using quantile regression in both single-and multipollutant models.
Results: Significant interactions between SNPs and air pollution were found for six SNPs (p < 0.05): rs4253527 (SFTPA1) with O 3 and NO x , rs2266637 (GSTT1) with NO 2 , rs4795051 (NOS2) with PM 10 , NO 2 and NO x , rs4796017 (NOS2) with PM 10 , rs2248814 (NOS2) with PM 10 and rs7830 (NOS3) with NO 2 . The marginal effects on FeNO for three of these SNPs were significant (per increase of 10 µg/m 3 ):rs4253527 (SFTPA1) with O 3 (β: 0.155, 95%CI: 0.013-0.297), rs4795051 (NOS2) with PM 10 (β: 0.073, 95%CI: 0.00-0.147 (single pollutant), β: 0.081, 95%CI: 0.004-0.159 (multipollutant)) and NO 2 (β: -0.084, 95%CI: -0.147; -0.020 (3 h), β: -0.188, 95%CI: -0.359; -0.018 (120 h)) and rs4796017 (NOS2) with PM 10 (β: 0.396, 95%CI: 0.003-0.790).
Conclusions: Increased inflammatory response from air pollution exposure was observed among subjects with polymorphisms in SFTPA1, GSTT1, and NOS genes, where O 3 interacted with SFTPA1 and PM10 and NO 2 /NO x with the GSTT1 and NOS genes. This provides a basis for the further exploration of biological mechanisms as well as the identification of individuals susceptible to the effects of outdoor air pollution.
(© 2023. The Author(s).)
Databáze: MEDLINE
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