Chloe Burke, Gemma Taylor, Tom P. Freeman, Hannah Sallis, Robyn E. Wootton, Marcus R. Munafò, Christina Dardani, Jasmine Khouja
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We used Mendelian randomisation (MR) to measure the independent effect of nicotine on depression, by adjusting the effect of circulating nicotine exposure [via nicotine metabolite ratio (NMR)] for the overall effect of smoking heaviness [via cigarettes per day (CPD)] to account for the non-nicotine constituents of tobacco smoke.</p>\n </section>\n \n <section>\n \n <h3> Design</h3>\n \n <p>Univariable MR and multivariable MR (MVMR) were used to measure the total and independent effects of genetic liability to NMR and CPD on major depressive disorder (MDD). Our primary method was inverse variance weighted (IVW) regression, with other methods as sensitivity analyses.</p>\n </section>\n \n <section>\n \n <h3> Setting and participants</h3>\n \n <p>For the exposures, we used genome-wide association study (GWAS) summary statistics among European ancestry individuals for CPD (<i>n</i> = 143 210) and NMR (<i>n</i> = 5185). For the outcome, a GWAS of MDD stratified by smoking status was conducted using individual-level data from UK Biobank (<i>n</i> = 35 871–194 881).</p>\n </section>\n \n <section>\n \n <h3> Measurements</h3>\n \n <p>Genetic variants associated with NMR (<i>n</i> = 6) and CPD (<i>n</i> = 53).</p>\n </section>\n \n <section>\n \n <h3> Findings</h3>\n \n <p>Univariable MR-IVW indicated a causal effect of CPD on MDD [odds ratio (OR) = 1.13, 95% confidence interval (CI) = 1.04–1.23, <i>P</i> = 0.003] but no clear evidence for an effect of NMR on MDD (OR = 0.98, 95% CI = 0.97–1.00, <i>P</i> = 0.134). MVMR indicated a causal effect of CPD on MDD when accounting for NMR (IVW: OR = 1.19, 95% CI = 1.03–1.37, <i>P</i> = 0.017; Egger: OR = 1.13, 95% CI = 0.89–1.43, <i>P</i> = 0.300) and weak evidence of a small effect of NMR on MDD when accounting for CPD (IVW: OR = 0.98, 95% CI = 0.96–1.00, <i>P</i> = 0.057; Egger: OR = 0.98, 95% CI = 0.96–1.00, <i>P</i> = 0.038).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The role of nicotine exposure in risk of depression cannot be entirely dismissed. However, the causal effect of tobacco smoking increasing depression risk appears to be largely independent of circulating nicotine exposure, which implies the role of alternative causal pathways.</p>\n </section>\n </div>","PeriodicalId":109,"journal":{"name":"Addiction","volume":"120 6","pages":"1240-1252"},"PeriodicalIF":5.2000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/add.70001","citationCount":"0","resultStr":"{\"title\":\"Disentangling the effects of nicotine versus non-nicotine constituents of tobacco smoke on major depressive disorder: A multivariable Mendelian randomisation study\",\"authors\":\"Chloe Burke, Gemma Taylor, Tom P. Freeman, Hannah Sallis, Robyn E. Wootton, Marcus R. 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引用次数: 0
摘要
背景和目的:越来越多的证据表明吸烟会导致抑郁症,但尚不清楚烟草烟雾中的哪些成分(如尼古丁、一氧化碳)可能是罪魁祸首。我们使用孟德尔随机化(MR)来测量尼古丁对抑郁症的独立影响,通过调整循环尼古丁暴露(通过尼古丁代谢物比率(NMR))对吸烟严重程度(通过每天吸烟(CPD))的总体影响,以解释烟草烟雾中的非尼古丁成分。设计:单变量核磁共振和多变量核磁共振(MVMR)用于测量核磁共振和CPD遗传倾向对重度抑郁症(MDD)的总体和独立影响。我们的主要方法是逆方差加权(IVW)回归,其他方法为敏感性分析。环境和参与者:对于暴露,我们使用全基因组关联研究(GWAS)对欧洲血统的CPD个体(n = 143,210)和NMR (n = 5185)进行汇总统计。对于结果,使用英国生物银行(UK Biobank)的个人水平数据(n = 35 871-194 881)对吸烟状况进行重度抑郁症的GWAS分层。测量:与NMR (n = 6)和CPD (n = 53)相关的遗传变异。结果:单变量MR-IVW提示CPD对MDD有因果影响[比值比(OR) = 1.13, 95%可信区间(CI) = 1.04-1.23, P = 0.003],但没有明确证据表明NMR对MDD有影响(OR = 0.98, 95% CI = 0.97-1.00, P = 0.134)。当考虑核磁共振时,MVMR表明CPD对MDD有因果关系(IVW: OR = 1.19, 95% CI = 1.03-1.37, P = 0.017;Egger: OR = 1.13, 95% CI = 0.89-1.43, P = 0.300),当考虑到CPD时,弱证据表明NMR对MDD的影响较小(IVW: OR = 0.98, 95% CI = 0.96-1.00, P = 0.057;Egger: OR = 0.98, 95% CI = 0.96-1.00, P = 0.038)。结论:尼古丁暴露在抑郁症风险中的作用不能完全被忽视。然而,吸烟增加抑郁风险的因果效应似乎在很大程度上独立于循环尼古丁暴露,这意味着其他因果途径的作用。
Disentangling the effects of nicotine versus non-nicotine constituents of tobacco smoke on major depressive disorder: A multivariable Mendelian randomisation study
Background and aims
There is growing evidence that tobacco smoking causes depression, but it is unclear which constituents of tobacco smoke (e.g. nicotine, carbon monoxide) may be responsible. We used Mendelian randomisation (MR) to measure the independent effect of nicotine on depression, by adjusting the effect of circulating nicotine exposure [via nicotine metabolite ratio (NMR)] for the overall effect of smoking heaviness [via cigarettes per day (CPD)] to account for the non-nicotine constituents of tobacco smoke.
Design
Univariable MR and multivariable MR (MVMR) were used to measure the total and independent effects of genetic liability to NMR and CPD on major depressive disorder (MDD). Our primary method was inverse variance weighted (IVW) regression, with other methods as sensitivity analyses.
Setting and participants
For the exposures, we used genome-wide association study (GWAS) summary statistics among European ancestry individuals for CPD (n = 143 210) and NMR (n = 5185). For the outcome, a GWAS of MDD stratified by smoking status was conducted using individual-level data from UK Biobank (n = 35 871–194 881).
Measurements
Genetic variants associated with NMR (n = 6) and CPD (n = 53).
Findings
Univariable MR-IVW indicated a causal effect of CPD on MDD [odds ratio (OR) = 1.13, 95% confidence interval (CI) = 1.04–1.23, P = 0.003] but no clear evidence for an effect of NMR on MDD (OR = 0.98, 95% CI = 0.97–1.00, P = 0.134). MVMR indicated a causal effect of CPD on MDD when accounting for NMR (IVW: OR = 1.19, 95% CI = 1.03–1.37, P = 0.017; Egger: OR = 1.13, 95% CI = 0.89–1.43, P = 0.300) and weak evidence of a small effect of NMR on MDD when accounting for CPD (IVW: OR = 0.98, 95% CI = 0.96–1.00, P = 0.057; Egger: OR = 0.98, 95% CI = 0.96–1.00, P = 0.038).
Conclusions
The role of nicotine exposure in risk of depression cannot be entirely dismissed. However, the causal effect of tobacco smoking increasing depression risk appears to be largely independent of circulating nicotine exposure, which implies the role of alternative causal pathways.
期刊介绍:
Addiction publishes peer-reviewed research reports on pharmacological and behavioural addictions, bringing together research conducted within many different disciplines.
Its goal is to serve international and interdisciplinary scientific and clinical communication, to strengthen links between science and policy, and to stimulate and enhance the quality of debate. We seek submissions that are not only technically competent but are also original and contain information or ideas of fresh interest to our international readership. We seek to serve low- and middle-income (LAMI) countries as well as more economically developed countries.
Addiction’s scope spans human experimental, epidemiological, social science, historical, clinical and policy research relating to addiction, primarily but not exclusively in the areas of psychoactive substance use and/or gambling. In addition to original research, the journal features editorials, commentaries, reviews, letters, and book reviews.