4.7 Article

Short-term exposure to air pollution and its interaction effects with two ABO SNPs on blood lipid levels in northern China: A family-based study

Journal

CHEMOSPHERE
Volume 249, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2020.126120

Keywords

Ambient particulate matters; Blood lipid level; Gene-environment interaction

Funding

  1. National Natural Science Foundation of China [81230066, 81473043]

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We examined the main effects of ambient particulate matters, as well as whether single-nucleotide polymorphisms (SNPs), located within ABO gene would modify the relationship. Data were collected from a family-based study conducted in Northern China. A generalized additive model with a Gaussian link and with each family as a stratum was applied to estimate the percentage change in blood lipid levels following a 10 mu g/m(3) increase in ambient particulate matter concentrations. Interaction analyses were conducted by including a cross-product term of PM2.5 or PM10 by SNP. Results showed that a 10 mu g/m(3) increase in Particulate matter with aerodynamic diameter <2.5 mu m (PM2.5) concentrations corresponded to the highest 0.010% (95% CI: 0.002%-0.018%), 0.018% (95% CI: 0.006%-0.029%), 0.019% (95% CI: 0.010%-0.029%) increase in total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C), respectively and 0.005% (95% CI: 0.002%-0.008%) decrease in high density lipoprotein cholesterol (HDL-C)-to-LDL-C ratio. As for the PM10, similar results were observed. Furthermore, our finding showed an interaction effect of PM10 and rs505922/rs579459 C allele on TG. Specifically, individuals carrying the rs505922 and rs579459 T allele have higher TG concentrations following PM10 exposure, with a 10 mu g/m(3) increase in PM10 concentrations corresponding to the highest 0.028% and 0.034% increase in TG, respectively. In conclusion, short-term exposures to ambient particulate matters are associated with a higher blood lipid level, which can be modified by ABO polymorphism. The findings may be useful in identifying vulnerable population according to genetic background. (C) 2020 Elsevier Ltd. All rights reserved.

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