The Mind Research Network, Albuquerque, NM, 87106, USA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], Atlanta, GA, 30303, USA.
Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, 80309, USA.
Neuroimage. 2019 Oct 15;200:121-131. doi: 10.1016/j.neuroimage.2019.06.023. Epub 2019 Jun 13.
Recent studies have shown a critical role of the gastrointestinal microbiome in brain and behavior via the complex gut-microbiome-brain axis. However, the influence of the oral microbiome in neurological processes is much less studied, especially in response to the stimuli, such as smoking, within the oral microenvironment. Additionally, given the complex structural and functional networks in brain, our knowledge about the relationship between microbiome and brain function through specific brain circuits is still very limited. In this pilot study, we leveraged next generation sequencing for microbiome and functional neuroimaging technique to enable the delineation of microbiome-brain network links as well as their relationship to cigarette smoking. Thirty smokers and 30 age- and sex-matched nonsmokers were recruited for 16S sequencing of their oral microbial community. Among them, 56 subjects were scanned by resting-state functional magnetic resonance imaging to derive brain functional networks. Statistical analyses were performed to demonstrate the influence of smoking on the oral microbial composition, functional network connectivity, and the associations between microbial shifts and functional network connectivity alternations. Compared to nonsmokers, we found a significant decrease of beta diversity (P = 6 × 10) in smokers and identified several classes (Betaproteobacteria, Spirochaetia, Synergistia, and Mollicutes) with significant alterations in microbial abundance. Pathway analysis on the predicted KEGG pathways shows that the microbiota with altered abundance are mainly involved in pathways related to cell processes, DNA repair, immune system, and neurotransmitters signaling. One brain functional network connectivity component was identified to have a significant difference between smokers and nonsmokers (P = 0.032), mainly including connectivity between brain default network and other task-positive networks. This brain functional component was also significantly associated with smoking related microbiota, suggesting a correlated cross-individual pattern between smoking-induced oral microbiome dysbiosis and brain functional connectivity alternation, possibly involving immunological and neurotransmitter signaling pathways. This work is the first attempt to link oral microbiome and brain functional networks, and provides support for future work in characterizing the role of oral microbiome in mediating smoking effects on brain activity.
最近的研究表明,胃肠道微生物组通过复杂的肠道微生物组-大脑轴在大脑和行为中起着关键作用。然而,口腔微生物组在神经过程中的影响研究得要少得多,特别是在口腔微环境中对吸烟等刺激的反应。此外,鉴于大脑中复杂的结构和功能网络,我们对通过特定大脑回路微生物组与大脑功能之间关系的了解仍然非常有限。在这项初步研究中,我们利用下一代测序技术对微生物组和功能神经影像学技术进行了利用,以描绘微生物组-大脑网络连接及其与吸烟的关系。招募了 30 名吸烟者和 30 名年龄和性别匹配的不吸烟者进行口腔微生物群落的 16S 测序。其中,56 名受试者接受静息态功能磁共振成像扫描,以得出大脑功能网络。进行统计分析以证明吸烟对口腔微生物组成、功能网络连通性以及微生物变化与功能网络连通性变化之间的关联的影响。与不吸烟者相比,我们发现吸烟者的 beta 多样性显著下降(P=6×10),并确定了几个类(β变形菌门、螺旋体门、共生菌门和柔膜菌门)的微生物丰度发生了显著变化。对预测的 KEGG 途径进行途径分析表明,丰度发生变化的微生物主要参与与细胞过程、DNA 修复、免疫系统和神经递质信号转导相关的途径。确定了一个大脑功能网络连通性成分在吸烟者和不吸烟者之间存在显著差异(P=0.032),主要包括大脑默认网络与其他任务正网络之间的连通性。这个大脑功能成分还与与吸烟相关的微生物群显著相关,表明吸烟引起的口腔微生物组失调与大脑功能连通性改变之间存在相关的个体间模式,可能涉及免疫和神经递质信号转导途径。这项工作是首次尝试将口腔微生物组和大脑功能网络联系起来,并为未来描述口腔微生物组在介导吸烟对大脑活动的影响中的作用提供了支持。
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