Paraoxonase 1 (PON1) Q192R genotypes and their interaction with smoking strongly increase atherogenicity and the Framingham risk score

Arch Endocrinol Metab. 2016 Oct;60(5):426-435. doi: 10.1590/2359-3997000000184. Epub 2016 Aug 25.

Abstract

Objective: Paraoxonase 1 (PON1) polymorphisms are associated with an increased susceptibility to cardiovascular disease. PON1 Q192R polymorphism (rs662) partially determine PON1 hydrolytic activity and protect against oxidation of LDL and HDL. This study aimed to delineate the association of PON1 status (functional 192 genotype and plasma activity levels) and atherogenicity in urbans residents aged 40 years or more.

Materials and methods: Anthropometric data, lipid profiles, the atherogenic index of the plasma (AIP) and Framingham score risk were measured. Three kinetic assays were conducted to assay PON1 status using phenylacetate and 4-(chloromethyl)phenyl acetate as substrates.

Results: Smoking per se did not significantly impact the AIP but the interaction PON1 genotype by smoking significantly increased the AIP. In subjects with the RR genotype smoking increased the AIP index from (estimated mean ± SEM) -0.038 ± 0.039 to 0.224 ± 0.094. The QR genotype increased the Framingham risk index by around 1.3 points. Smoking by RR genotype carriers significantly increased the Framingham risk score (17.23 ± 2.04) as compared to smoking (13.00 ± 1.06) and non-smoking (7.79 ± 0.70) by QQ+QR genotype carriers. The interaction RR genotype by smoking was a more important predictor (odds ratio = 7.90) of an increased Framingham risk score (> 20) than smoking per se (odds ratio = 2.73). The interaction smoking by RR genotype carriers significantly increased triglycerides and lowered HDL cholesterol.

Conclusion: Smoking per se has no (AIP) or a mild (Framingham risk score) effect on atherogenicity, while the interaction smoking by PON1 RR genotype has a clinically highly significant impact on atherogenicity.

MeSH terms

  • Adult
  • Aged
  • Aryldialkylphosphatase / blood
  • Aryldialkylphosphatase / genetics*
  • Atherosclerosis / genetics*
  • Cholesterol, HDL / blood
  • Cholesterol, LDL / blood
  • Cross-Sectional Studies
  • Female
  • Gene-Environment Interaction
  • Genetic Association Studies
  • Genotype*
  • Humans
  • Hydrolysis
  • Logistic Models
  • Male
  • Middle Aged
  • Polymorphism, Genetic*
  • Reference Values
  • Risk Assessment / methods*
  • Risk Factors
  • Sex Factors
  • Smoking / adverse effects
  • Triglycerides / blood

Substances

  • Cholesterol, HDL
  • Cholesterol, LDL
  • Triglycerides
  • Aryldialkylphosphatase

Grants and funding

Acknowledgment of grant support: this work was supported by SETI/Fundação Araucária (PPSUS 200/210). André de Souza-Nogueira received a Master fellowhip from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes). Estefania Gastaldello Moreira and Décio Sabbatini Barbosa are senior research fellows from SETI/Fundação Araucária. Michael Maes is supported by a Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) PVE fellowship at the Health Sciences Graduation Program, Londrina State University (UEL)