Revealing Oral Microbiota Composition and Functionality Associated with Heavy Cigarette Smoking.
Abstract Background: Heavy tobacco smoking, a hallmark feature of lung cancer is drastically predominant in Middle Eastern populations. The precise links between nicotine dependence and the functional contribution of the oral microbiota remain unknown in these populations. Methods: We evaluated the functional capabilities of the oral microbiota with relation to cigarette smoking in 105 adults through shotgun metagenomics. Results: The four major enterotypes initially described in westernized cohorts were retrieved in this population. Differential relative abundance testing unveiled relative abundance of Streptobacillus hongkongensis (Log2FoldChange 4.78, P. adjusted value < 0.00004), Fusobacterium massiliense (Log2FoldChange 4.63, P. adjusted value < 0.00000004), Prevotella bivia (Log2FoldChange 2.46, P. adjusted value < 0.00024) in high nicotine dependent compared to low nicotine dependent profiles based on Fagerström test for Nicotine Dependence. Functional profiling showed marked differences between smokers and non-smokers controls with an enrichment of Tricarballylate utilization (Log2FoldChange 2.52, P. adjusted value < 0.0013) and Lactate racemization (Log2FoldChange 1.003, P. adjusted value < 0.0001) among others in smokers vs . non-smokers group. According to nicotine dependence, we detected enrichment of Xanthosine utilization (Log2FoldChange 3.38, P. adjusted value < 0.00007), p-Aminobenzoyl-Glutamate utilization (Log2FoldChange 1.33, P. adjusted value < 0.00056), and Multidrug efflux pump in Campylobacter jejuni (Log2FoldChange 1.14, P. adjusted value < 0.00007) biosynthesis modules in the high nicotine dependent group. Conclusions: These differences provide a critical insight on how variations in the oral microbiota may predispose to smoke cessation relapse, serious respiratory illnesses, and lung cancer in heavy cigarette smokers. The observed enrichment of Fusobacterium and Prevotella suggest an intriguing linkage to lung and gut cancers. This information may eventually lead to the development of screening biomarkers to predict early cancer development.