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Effects of CYP3A4 Polymorphisms on Drug Addiction Risk Among the Chinese Han Population

Background: Cytochrome P450 3A4 (CYP3A4) regulates pharmacokinetic and pharmacodynamic interactions during the process of drug absorption and metabolism, suggesting CYP3A4 plays an important role in drug addiction. However, the association between CYP3A4 polymorphisms and drug addiction risk is stil...

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Autores principales: Wang, Li, Bai, Mei, Jin, Tianbo, Zheng, Jianwen, Wang, Yuhe, He, Yongjun, Yuan, Dongya, He, Xue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6878905/
https://www.ncbi.nlm.nih.gov/pubmed/31799230
http://dx.doi.org/10.3389/fpubh.2019.00315
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author Wang, Li
Bai, Mei
Jin, Tianbo
Zheng, Jianwen
Wang, Yuhe
He, Yongjun
Yuan, Dongya
He, Xue
author_facet Wang, Li
Bai, Mei
Jin, Tianbo
Zheng, Jianwen
Wang, Yuhe
He, Yongjun
Yuan, Dongya
He, Xue
author_sort Wang, Li
collection PubMed
description Background: Cytochrome P450 3A4 (CYP3A4) regulates pharmacokinetic and pharmacodynamic interactions during the process of drug absorption and metabolism, suggesting CYP3A4 plays an important role in drug addiction. However, the association between CYP3A4 polymorphisms and drug addiction risk is still not clear. Methods: This case-control study included 504 drug addicts and 501 healthy controls from Xi'an, China. Four single nucleotide polymorphisms (SNP) in CYP3A4 (rs3735451, rs4646440, rs35564277, and rs4646437) were genotyped by Agena MassARRAY platform. After adjusting by age and gender, we calculated odd ratios (OR) and 95% confidence intervals (CI) by logistic regression to estimate the association between CYP3A4 polymorphisms and drug addiction risk. Results: We found rs4646440 and rs4646437 were associated with decreased risk of drug addiction in codominant (rs4646440: OR = 0.41, 95%CI = 0.19–0.92, p = 0.030; rs4646437: OR = 0.19, 95%CI = 0.04–0.87, p = 0.032) and recessive (rs4646440: OR = 0.41, 95%CI = 0.19–0.91, p = 0.028; rs4646437: OR = 0.20, 95%CI = 0.04–0.90, p = 0.036) models. Rs3735451 and rs4646437 were associated with drug addiction risk in the subgroup of middle-aged people (44 < age ≤ 59) and elderly people (age ≥ 60), individually. For men, rs3735451, rs4646440, and rs4646437 had strong relationship with decreased risk of drug addiction (p < 0.05). The effects of rs3735451 on drug addiction risk were related to drug-using time (p < 0.05). We also observed one block (rs4646440 and rs35564277) in haplotype analysis. Conclusion: CYP3A4 polymorphisms were associated with drug addiction risk among the Chinese Han population.
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spelling pubmed-68789052019-12-03 Effects of CYP3A4 Polymorphisms on Drug Addiction Risk Among the Chinese Han Population Wang, Li Bai, Mei Jin, Tianbo Zheng, Jianwen Wang, Yuhe He, Yongjun Yuan, Dongya He, Xue Front Public Health Public Health Background: Cytochrome P450 3A4 (CYP3A4) regulates pharmacokinetic and pharmacodynamic interactions during the process of drug absorption and metabolism, suggesting CYP3A4 plays an important role in drug addiction. However, the association between CYP3A4 polymorphisms and drug addiction risk is still not clear. Methods: This case-control study included 504 drug addicts and 501 healthy controls from Xi'an, China. Four single nucleotide polymorphisms (SNP) in CYP3A4 (rs3735451, rs4646440, rs35564277, and rs4646437) were genotyped by Agena MassARRAY platform. After adjusting by age and gender, we calculated odd ratios (OR) and 95% confidence intervals (CI) by logistic regression to estimate the association between CYP3A4 polymorphisms and drug addiction risk. Results: We found rs4646440 and rs4646437 were associated with decreased risk of drug addiction in codominant (rs4646440: OR = 0.41, 95%CI = 0.19–0.92, p = 0.030; rs4646437: OR = 0.19, 95%CI = 0.04–0.87, p = 0.032) and recessive (rs4646440: OR = 0.41, 95%CI = 0.19–0.91, p = 0.028; rs4646437: OR = 0.20, 95%CI = 0.04–0.90, p = 0.036) models. Rs3735451 and rs4646437 were associated with drug addiction risk in the subgroup of middle-aged people (44 < age ≤ 59) and elderly people (age ≥ 60), individually. For men, rs3735451, rs4646440, and rs4646437 had strong relationship with decreased risk of drug addiction (p < 0.05). The effects of rs3735451 on drug addiction risk were related to drug-using time (p < 0.05). We also observed one block (rs4646440 and rs35564277) in haplotype analysis. Conclusion: CYP3A4 polymorphisms were associated with drug addiction risk among the Chinese Han population. Frontiers Media S.A. 2019-11-19 /pmc/articles/PMC6878905/ /pubmed/31799230 http://dx.doi.org/10.3389/fpubh.2019.00315 Text en Copyright © 2019 Wang, Bai, Jin, Zheng, Wang, He, Yuan and He. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Wang, Li
Bai, Mei
Jin, Tianbo
Zheng, Jianwen
Wang, Yuhe
He, Yongjun
Yuan, Dongya
He, Xue
Effects of CYP3A4 Polymorphisms on Drug Addiction Risk Among the Chinese Han Population
title Effects of CYP3A4 Polymorphisms on Drug Addiction Risk Among the Chinese Han Population
title_full Effects of CYP3A4 Polymorphisms on Drug Addiction Risk Among the Chinese Han Population
title_fullStr Effects of CYP3A4 Polymorphisms on Drug Addiction Risk Among the Chinese Han Population
title_full_unstemmed Effects of CYP3A4 Polymorphisms on Drug Addiction Risk Among the Chinese Han Population
title_short Effects of CYP3A4 Polymorphisms on Drug Addiction Risk Among the Chinese Han Population
title_sort effects of cyp3a4 polymorphisms on drug addiction risk among the chinese han population
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6878905/
https://www.ncbi.nlm.nih.gov/pubmed/31799230
http://dx.doi.org/10.3389/fpubh.2019.00315
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