Li Suyun, Wang Qiang, Pan Lulu, Li Huijie, Yang Xiaorong, Jiang Fan, Zhang Nan, Han Mingkui, Jia Chongqi
Department of Epidemiology, Shandong University, Jinan, P. R. China.
Hebei Center for Disease Control and Prevention, Hebei, P. R. China.
Am J Addict. 2016 Sep;25(6):493-8. doi: 10.1111/ajad.12421. Epub 2016 Aug 4.
Smoking and smoking cessation are both psychological and physiological traits. We aimed to investigate the interaction between dopamine pathway gene scores and nicotine dependence on smoking cessation in a rural Chinese male population.
Participants were recruited from 17 villages in Shandong, China. DNA was extracted from blood sample of 819 participants. 25 single nucleotide polymorphisms (SNPs) in 8 dopamine (DA) pathway genes were genotyped. Weighted gene score of each gene is used to analyze the whole gene effect. Logistic regression was used to calculate odds ratios (OR) and multivariate-adjusted OR of each gene score for smoking cessation. Multiplicative model interaction was assessed through a cross-product interaction term of gene score by nicotine dependence in a multivariate logistic regression model.
After adjusting for age, occupation, education, marital status, self-rating anxiety score, and disease status, we observed significant negative associations of catechol-O-methyltransferase (COMT), dopamine receptor D2 (DRD2) gene score and smoking cessation, as well as significant positive associations between ankyrin repeat and kinase domain containing 1 (ANKK1), dopamine transporter (SLC6A3), dopamine receptor D4 (DRD4) gene score and smoking cessation. A significant multiplicative model interaction between nicotine dependence and the SLC6A3 gene score on smoking cessation was also observed (p = .03).
There is a significant multiplicative model interaction of SLC6A3 gene score and nicotine dependence on smoking cessation. This finding could help to identify smokers who may be at high risk of relapse, and thus to develop more professional and personalized smoking cessation treatment. (Am J Addict 2016;25:493-498).
吸烟及戒烟均涉及心理和生理特征。我们旨在研究多巴胺通路基因评分与尼古丁依赖在中国农村男性人群戒烟过程中的相互作用。
研究对象来自中国山东的17个村庄。从819名参与者的血样中提取DNA。对8个多巴胺(DA)通路基因中的25个单核苷酸多态性(SNP)进行基因分型。使用每个基因的加权基因评分来分析整个基因的效应。采用逻辑回归计算每个基因评分对戒烟的优势比(OR)和多变量调整后的OR。通过多变量逻辑回归模型中基因评分与尼古丁依赖的交叉乘积交互项评估乘性模型交互作用。
在调整年龄、职业、教育程度、婚姻状况、自评焦虑评分和疾病状态后,我们观察到儿茶酚-O-甲基转移酶(COMT)、多巴胺受体D2(DRD2)基因评分与戒烟之间存在显著负相关,以及锚蛋白重复序列和激酶结构域包含1(ANKK1)、多巴胺转运体(SLC6A3)、多巴胺受体D4(DRD4)基因评分与戒烟之间存在显著正相关。还观察到尼古丁依赖与SLC6A3基因评分在戒烟方面存在显著的乘性模型交互作用(p = 0.03)。
SLC6A3基因评分与尼古丁依赖在戒烟方面存在显著的乘性模型交互作用。这一发现有助于识别可能有高复发风险的吸烟者,从而制定更专业和个性化的戒烟治疗方案。(《美国成瘾杂志》2016年;25:493 - 498)