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Background <p>Nicotine metabolism significantly influences the levels of harmful nicotine metabolites in smokers. CYP2A13, a key enzyme in nicotine and xenobiotic metabolism, is implicated in tobacco smoke-related lung cancer.</p> Aim <p>This study investigated the association between CYP2A13 genetic polymorphism and nicotine metabolism in male smokers in Medan, Indonesia.</p> Materials and methods <p>This cross-sectional study included 66 male smokers (aged 20–65&#xa0;years) who met pre-defined inclusion and exclusion criteria. Nicotine metabolite levels were quantified in urine samples using high-performance liquid chromatography (HPLC). CYP2A13 polymorphism was determined using polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) analysis of venous blood samples. Logistic regression analysis (Epi Info-7) assessed the association between CYP2A13 genotype and nicotine metabolism.</p> Results <p>No significant association (<i>p</i> &gt; 0.05) was found between CYP2A13 genotype and nicotine metabolism. The CC genotype was most prevalent. The majority of participants exhibited rapid nicotine metabolism.</p> Conclusion <p>Further research with larger sample sizes and diverse populations is needed to elucidate the relationship between CYP2A13 genetic polymorphism and nicotine metabolism.</p>

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Unraveling relationship between the genetic polymorphism CYP2A13 and nicotine metabolism of male smokers in Medan, Indonesia

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月8日

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  • Noni Novisari Soeroso,
  • Rozaimah Zain-Hamid,
  • Syamsul Bihar,
  • Chaliza Soliha,
  • Fannie Rizki Ananda,
  • Aida

摘要

Background

Nicotine metabolism significantly influences the levels of harmful nicotine metabolites in smokers. CYP2A13, a key enzyme in nicotine and xenobiotic metabolism, is implicated in tobacco smoke-related lung cancer.

Aim

This study investigated the association between CYP2A13 genetic polymorphism and nicotine metabolism in male smokers in Medan, Indonesia.

Materials and methods

This cross-sectional study included 66 male smokers (aged 20–65 years) who met pre-defined inclusion and exclusion criteria. Nicotine metabolite levels were quantified in urine samples using high-performance liquid chromatography (HPLC). CYP2A13 polymorphism was determined using polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) analysis of venous blood samples. Logistic regression analysis (Epi Info-7) assessed the association between CYP2A13 genotype and nicotine metabolism.

Results

No significant association (p > 0.05) was found between CYP2A13 genotype and nicotine metabolism. The CC genotype was most prevalent. The majority of participants exhibited rapid nicotine metabolism.

Conclusion

Further research with larger sample sizes and diverse populations is needed to elucidate the relationship between CYP2A13 genetic polymorphism and nicotine metabolism.