Qi Shile, Fu Zening, Wu Lei, Calhoun Vince D, Zhang Daoqiang, Daughters Stacey B, Hsu Ping-Ching, Jiang Rongtao, Vergara Victor M, Sui Jing, Addicott Merideth A
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States.
Front Neurosci. 2022 Jul 27;16:923065. doi: 10.3389/fnins.2022.923065. eCollection 2022.
Cigarette smoking and smoking cessation are associated with changes in cognition and DNA methylation; however, the neurobiological correlates of these effects have not been fully elucidated, especially in long-term cessation. Cognitive performance, percent methylation of the aryl hydrocarbon receptor repressor () gene, and abstinence duration were used as references to supervise a multimodal fusion analysis of functional, structural, and diffusion magnetic resonance imaging (MRI) data, in order to identify associated brain networks in smokers and ex-smokers. Correlations among these networks and with smoking-related measures were performed. Cognition-, methylation-, and abstinence duration-associated networks discriminated between smokers and ex-smokers and correlated with differences in fractional amplitude of low frequency fluctuations (fALFF) values, gray matter volume (GMV), and fractional anisotropy (FA) values. Long-term smoking cessation was associated with more accurate cognitive performance, as well as lower fALFF and more GMV in the hippocampus complex. The methylation- and abstinence duration-associated networks positively correlated with smoking-related measures of abstinence duration and percent methylation, respectively, suggesting they are complementary measures. This analysis revealed structural and functional co-alterations linked to smoking abstinence and cognitive performance in brain regions including the insula, frontal gyri, and lingual gyri. Furthermore, methylation, a promising epigenetic biomarker of smoking recency, may provide an important complement to self-reported abstinence duration.
吸烟与戒烟均与认知及DNA甲基化变化相关;然而,这些效应的神经生物学关联尚未完全阐明,尤其是在长期戒烟的情况下。认知表现、芳烃受体阻遏物()基因的甲基化百分比以及戒烟时长被用作参考,以监督功能、结构和扩散磁共振成像(MRI)数据的多模态融合分析,从而识别吸烟者和已戒烟者中相关的脑网络。对这些网络之间以及与吸烟相关指标之间的相关性进行了分析。与认知、甲基化和戒烟时长相关的网络能够区分吸烟者和已戒烟者,并与低频波动分数振幅(fALFF)值、灰质体积(GMV)和分数各向异性(FA)值的差异相关。长期戒烟与更准确的认知表现相关,同时海马复合体中的fALFF更低且GMV更多。与甲基化和戒烟时长相关的网络分别与戒烟时长和甲基化百分比的吸烟相关指标呈正相关,表明它们是互补的指标。该分析揭示了与脑岛、额回和舌回等脑区的戒烟及认知表现相关的结构和功能共同改变。此外,甲基化作为近期吸烟的一种有前景的表观遗传生物标志物,可能为自我报告的戒烟时长提供重要补充。