Association between the oral microbiome and brain resting state connectivity in smokers

• Authors: Dongdong Lin, Mind Research Network; Kent E. Hutchison, University of Colorado Boulder; Salvador Portillo, University of Colorado Boulder; Victor Vegara, Mind Research Network; Jarrod M. Ellingson, University of Colorado Boulder; Jingyu Liu, Mind Research Network; Kenneth S. Krauter, University of Colorado Boulder; Amanda Carroll-Portillo, University of New Mexico; Vince D. Calhoun, Emory University
• Journal Title: NeuroImage
• Volume: Volume 200
• Publisher: Elsevier | 2019-10-15, Pages 121-131
• Type of Work: Article | Post-print: After Peer Review
• Publisher DOI: http://doi.org/10.1016/j.neuroimage.2019.06.023
• Subjects: Biology, Neuroscience; Health Sciences, Radiology; Health Sciences, Public Health
• Keywords: Functional connectivity; Microbiome; Neuroimaging; Saliva; Smoking; Adult; Cerebral Cortex; Connectome; Dysbiosis; Female; Humans; Magnetic Resonance Imaging; Male; Microbiota; Middle Aged; Mouth; Nerve Net; Pilot Projects; Saliva; Signal Transduction; Smoking; Young Adult

Abstract

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 × 10−3) 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.