Suppr超能文献

血清素受体基因多态性 rs1985242 和 rs1062613、电子烟使用与个性。

Serotonin Receptor Gene Polymorphisms rs1985242 and rs1062613, E-Cigarette Use and Personality.

机构信息

Independent Laboratory of Health Promotion, Pomeranian Medical University in Szczecin, 11 Chlapowskiego St., 70-204 Szczecin, Poland.

Department of Hygiene and Epidemiology, Collegium Medicum, University of Zielona Góra, Zyty 28 St., 65-046 Zielona Gora, Poland.

出版信息

Int J Environ Res Public Health. 2022 Apr 14;19(8):4746. doi: 10.3390/ijerph19084746.

Abstract

We nowadays record growing numbers of e-cigarette users. The development of nicotine dependence is a result of many factors, including genetics and personality. In this study we analyzed two polymorphisms-rs1985242 and rs1062613-in the serotonin receptor gene in a group of e-cigarette users ( = 135) and controls ( = 106). Personality traits were measured using the NEO Five-Factor Inventory. The comparison of e-cigarette users with the control group indicates that the former showed significantly higher scores on the neuroticism scale and lower scores on the scales of extraversion and conscientiousness of the NEO-FFI. Homozygote variants of rs1985242 were more frequent in the study group. The results of the 2 × 3 factorial ANOVA for e-cigarette users and the control group as well as interaction between the rs1985242 variants were found for the NEO-FFI conscientiousness scale. These results allow us to conclude that the combination of psychological factors and genetic data creates a possibility for making more complete models of substance use disorders.

摘要

如今,我们记录到越来越多的电子烟使用者。尼古丁依赖的发展是许多因素的结果,包括遗传和个性。在这项研究中,我们分析了一组电子烟使用者(n = 135)和对照组(n = 106)中的两个 5-羟色胺受体基因的多态性 rs1985242 和 rs1062613。个性特征使用 NEO 五因素量表进行测量。与对照组相比,电子烟使用者的结果表明,前者在神经质量表上的得分明显更高,而在外向性和尽责性量表上的得分更低。rs1985242 的纯合变体在研究组中更为频繁。对于电子烟使用者和对照组的 2 × 3 因子方差分析以及 rs1985242 变体之间的相互作用的结果,对于 NEO-FFI 的尽责性量表来说都是如此。这些结果使我们能够得出结论,即心理因素和遗传数据的结合为物质使用障碍的更完整模型创造了可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a284/9029000/f4f12641b3c2/ijerph-19-04746-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验