van de Weijer Margot P, Liu Shu, Thijssen Anaïs B, Wootton Robyn E, Túnez Adrià, Vermeulen Jentien M, van Wingen Guido, Smit Dirk J A, Munafò Marcus, Verweij Karin J H, Treur Jorien L
Department of Psychiatry, https://ror.org/03t4gr691Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Amsterdam, the Netherlands.
Psychol Med. 2025 Jun 24;55:e171. doi: 10.1017/S0033291725100561.
There is growing evidence that smoking increases the risk of developing psychiatric disorders, but the underlying mechanisms are largely unknown. We examine brain structure as a potential pathway between smoking and psychiatric disease liability.
We test associations between smoking (initiation, cigarettes per day, cessation, lifetime use) and depression, bipolar disorder, and schizophrenia, with and without correcting for volume of the amygdala, hippocampus, lateral and medial orbitofrontal cortex, superior frontal context, and cortical thickness and surface area. We use three methods that use summary statistics of genome-wide association studies to investigate genome-wide and local genetic overlap (genomic structural equation modeling, local analysis of (co)variant association), as well as causal associations (Mendelian randomization).
While we find causal effects of smoking on brain volume in different brain areas, and with psychiatric disorders, brain volume did not seem to mediate the effect of smoking on psychiatric disorders.
While these findings are limited by characteristics of the included summary statistics (e.g. sample size), we conclude that brain volume of these areas is unlikely to explain a substantial part of any effect of smoking on psychiatric disorders. Nevertheless, genetic methods are valuable tools for exploring other potential mechanisms, such as brain functional connectivity, foregoing the need to collect all phenotypes in one dataset.
越来越多的证据表明,吸烟会增加患精神疾病的风险,但其潜在机制很大程度上尚不清楚。我们将脑结构作为吸烟与精神疾病易感性之间的潜在途径进行研究。
我们测试吸烟(开始吸烟、每日吸烟量、戒烟、终生吸烟情况)与抑郁症、双相情感障碍和精神分裂症之间的关联,同时校正杏仁核、海马体、外侧和内侧眶额皮质、额上叶以及皮质厚度和表面积的体积。我们使用三种方法,利用全基因组关联研究的汇总统计数据来研究全基因组和局部遗传重叠(基因组结构方程建模、(协)变量关联的局部分析)以及因果关联(孟德尔随机化)。
虽然我们发现吸烟对不同脑区的脑容量以及精神疾病有因果效应,但脑容量似乎并未介导吸烟对精神疾病的影响。
虽然这些发现受到所纳入汇总统计数据特征(如样本量)的限制,但我们得出结论,这些区域的脑容量不太可能解释吸烟对精神疾病影响的很大一部分。然而,遗传方法是探索其他潜在机制(如脑功能连接性)的有价值工具,无需在一个数据集中收集所有表型。