4.7 Article

Influence on serum asymmetric dimethylarginine (ADMA) concentrations of human paraoxonase 1 polymorphism (Q192R) and exposure to polycyclic aromatic hydrocarbons (PAHs) in Mexican women, a gene-environment interaction

Journal

CHEMOSPHERE
Volume 186, Issue -, Pages 770-779

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2017.08.055

Keywords

1-Hydroxypyrene; Asymmetric dimethylarginine; Cardiovascular diseases; Polycyclic aromatic hydrocarbons; PON1 polymorphism; Gene-environment interaction

Funding

  1. CONACyT [CONACyT- PDCPN2015-1558]
  2. CONACyT (Fondo Sectorial) [SEMARNAT-CONACYT-249421]

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It has been demonstrated that Cardiovascular Diseases (CVD) are a consequence of the combination of genetic and environmental factors and/or the interaction between them. Therefore, the aim of this study was to evaluate the impact of polycyclic aromatic hydrocarbon (PAHs) exposure and PON1 Q192R polymorphism (genetic susceptibility) on serum asymmetric dimethylarginine (ADMA) levels in Mexican women (n = 206). Urinary 1-hydroxypyrene concentrations (1-OHP; exposure biomarker for PAHs) were quantified using a high-performance liquid chromatography technique, PON1 Q192R polymorphism was genotyped using TaqMan probes and serum ADMA concentrations were evaluated using a commercially available ELISA kit. Urinary 1-OHP levels detected in this study ranged from 0.07 to 937 mu mol/mol of creatinine (0.13-18.0 mu g/g of creatinine). Regarding allele frequency (PON1 Q192R polymorphism), the 192Q-allele frequency was 0.43 and for the 192R-allele it was 0.57. In relation to serum ADMA levels, the levels ranged from 0.06 to 1.46 mu mol/L Moreover, multiple linear regression analysis was performed and associations between urinary 1-OHP levels (beta = 0.05, p = 0.002), PON1 Q192R polymorphism (beta = 0.04, p = 0.003) and serum ADMA concentrations were found. Besides, an interaction (gene-environment interaction) of both independent variables (1-OHP and PON1 polymorphism) on serum ADMA levels was found (beta = 0.04, p = 0.02) in the constructed multiple linear model. Therefore, according to the significance of this research, it is necessary to execute health programs to reduce cardiovascular risk in the assessed population. (C) 2017 Elsevier Ltd. All rights reserved.

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