abstract

• Cardiovascular diseases (CVDs) are the primary cause of death worldwide. However, little is known about how the interaction between risk factors affects CVDs. Therefore, the aim of this study was to evaluate the effect of the gene-environment interaction (arsenic exposure x PON1 Q192R polymorphism) on serum levels of CVDs biomarkers in Mexican women. Urinary arsenic levels (UAs) ranged from 5.50–145 μg/g creatinine. The allele frequency was 0.38 and 0.62 for the Q and R alleles, respectively. Moreover, significant associations (p<0.05) were detected between UAs and CVDs biomarkers (ADMA, FABP4, and miR-155). Comparable data were found when CVDs biomarkers were evaluated through PON1 genotype, significant (p<0.05) higher serum concentrations of CVDs biomarkers were identified in R allele carriers compared to levels found in Q allele carriers. Besides, a gene-environment interaction was documented. The results of this study we believe should be of significant interest to regulatory authorities worldwide. © 2020 Elsevier B.V.

authors

• Araiza-Gamboa Y.
• Carrizalez Yáñez Leticia
• Ochoa-Martinez Á.C.
• Orta-Garcia S.T.
• Pérez Maldonado Iván Nelinho
• Varela-Silva J.A.

publication date

• 2021-01-01

funding provided via

• Secretaría de Educación Pública, SEP  Grant

published in

• Environmental Toxicology and Pharmacology  Journal

keywords

• ADMA; Arsenic; FABP4; Gene-environment (GxE) interaction; miRNAs; Paraoxonase 1 arsenic; aryldialkylphosphatase 1; cholesterol; creatinine; fatty acid binding protein 4; glucose; high density lipoprotein cholesterol; low density lipoprotein cholesterol; microRNA; microRNA 155; n(g),n(g) dimethylarginine; triacylglycerol; adult; allele; Article; body mass; cardiovascular disease; cholesterol blood level; controlled study; creatinine urine level; diastolic blood pressure; disease association; disease marker; female; gender; gene frequency; gene function; genotype; genotype environment interaction; heterozygote; human; Mexican; obesity; PON1 gene; priority journal; protein blood level; real time polymerase chain reaction; systolic blood pressure; triacylglycerol blood level; urine level

Digital Object Identifier (DOI)

• 10.1016/j.etap.2020.103519

PubMed ID

• 33164855

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volume

• 81