Types of tobacco consumption and the oral microbiome in the United Arab Emirates Healthy Future (UAEHFS) Pilot Study

Vallès, Yvonne; Inman, Claire K.; Peters, Brandilyn A.; Ali, Raghib; Wareth, Laila Abdel; Abdulle, Abdishakur; Alsafar, Habiba; Anouti, Fatme Al; Dhaheri, Ayesha S. Al; Galani, Divya; Haji, Muna Abdalla Mohamed; Hamiz, Aisha Al; Hosani, Ayesha Al; Al-Houqani, Mohammed; Junaibi, Abdulla Al; Kazim, Marina; Kirchhoff, Tomas; Mahmeed, Wael Al; Al-Maskari, Fatma; Alnaeemi, Abdullah; Oumeziane, Naima; Ramasamy, Ravichandran; Schmidt, Ann Marie; Weitzman, Michael; Zaabi, Eiman Al; Sherman, Scott E.; Hayes, Richard B.; Ahn, Jiyoung

doi:10.1038/s41598-018-29730-x

Cited by 54 publications

(85 citation statements)

References 57 publications

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“…Consistent with previous several reports, we detected a signi cant taxonomic difference between smoker and nonsmoker groups, but no signi cant differences in terms of microbial diversity and richness as shown in gure S3 [25][26][27]. Interestingly, a previous study conducted in the UAE determined only marginal signi cance of the overall oral microbial differences in smokers compared with non-smokers, underscoring the geographic and ethnic contribution [15]. However, our nding was not consistent with other groups reporting signi cant change in richness and diversity [28,29].…”

Section: Discussionsupporting

confidence: 91%

“…Furthermore, smoking contributes to the alteration in the oxygen tension of the oral and upper gastrointestinal microenvironment that encourages persistence of microaerophilic bacteria replacing the commensal bene cial species [12,13]. Previous studies have shown an increased prevalence of the genera Atopobium, Campylobacter, and Prevotella among smokers and selective depletion of certain phyla including Proteobacteria [12,[14][15][16] .Thus, tobacco smoking creates a unique dysbiotic environment in the oral cavity in uencing the microbiota composition that has a far reaching consequences in the local and systemic health of the host [8]. In this study, we intend to decipher our understanding of the oral microbiota's composition and its alteration due to tobacco smoking and smoking severity (nicotine dependence level).…”

Section: Introductionmentioning

confidence: 99%

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Revealing Oral Microbiota Composition and Functionality Associated with Heavy Cigarette Smoking.

Bataineh

Dash

Elkhazendar

et al. 2020

Preprint

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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.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Revealing Oral Microbiota Composition and Functionality Associated with Heavy Cigarette Smoking.

Bataineh

Dash

Elkhazendar

et al. 2020

Preprint

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“…On the other hand, and in line with the results of A. T. M. Saeb et al (13), in our study, Gammaproteobacteria abundance was higher but not significant in the healthy individuals, whereas Betaproteobacteria was significantly higher in the diabetes group (p=0.03). An interesting result was that the TG5 genus, belonging to the Synergistia class, the only one that showed significant differences between groups, has been related to periodontitis (19), failed implants (33) and smoking habits (34, 35). In our findings, unexpectedly, this taxon was found in 72% of the healthy samples against only 9% of diabetes individuals.…”

Section: Discussionmentioning

confidence: 99%

Characterization of the oral microbiome of medically controlled type-2 diabetes patients

Santos

Martins-Mendes

Gayà-Vidal

et al. 2020

Preprint

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28Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease that is becoming a 29 significant global health care problem. Several studies have shown that people with 30 diabetes are more susceptible to oral problems, such as periodontitis and, although the 31 causes are still inconclusive, the oral microbiota seems to be an important factor in this 32 interaction. This study aimed to characterize the oral microbiome of a sample representing 33 T2DM patients from Portugal and exploit potential associations between some 34 microorganisms and variables like teeth brushing, smoking habits, and nutrient intake. 35 By sequencing the hypervariable regions V3-V4 of the 16S rRNA gene in 50 individuals 36 belonging to a group of diabetes patients and a control group, we found a total of 233 37 taxa, from which only 65% were shared between both groups. No differences were found 38 in terms of alpha and beta diversity between groups or habits categories. Also, there were 39 no significant differences in the oral microbiome profiles of control and diabetes patients. 40Only the class Synergistia and the genus TG5, which are related to periodontitis, were 41 statistically more frequent in the control group. This finding can be justified by the fact 42 that these diabetic patients usually have their oral health under close medical control than 43 an average healthy person, which in this study was represented by the control group. 44 45 IMPORTANCE: Diabetes has become a significant global health care issue as its 46 incidence continues to increase exponentially, with type 2 diabetes being responsible for 47 more than 90% of these cases. Portugal is one of the countries with a higher prevalence 48 of diabetes in Europe. It has been reported that diabetic people have an increased risk of 49 developing several health problems such as oral infections mostly caused by opportunistic 50 pathogens. Some studies have pointed out a relationship between diabetes and oral 51 3 microbiome. Therefore, the characterization of the microbial ecosystem of the mouth in 52 reference groups is crucial to provide information to tackle oral health pathogen-borne 53 conditions. In this study, we provide the first characterization of the oral microbiome of 54 type 2 diabetes mellitus patients from Portugal, and therefore, contributing new data and 55 knowledge to elucidate the relationship between diabetes and the oral microbiome. 56 57 58 59 60 61 62 Keywords: oral microbiome, type 2 diabetes mellitus, 16S rRNA gene sequencing, 63 microbiota, Next-Generation Sequencing, Portugal 64 65 67hyperglycemia caused by defects in insulin secretion, which can contribute to the 68 development of resistance to its action (1, 2). T2DM is becoming more common, also in 69 children and adolescents, and therefore, represents a significant global health care 70 problem (3). 71As more studies are focused on the impact of T2DM on the medium-term patients' health, 72 a growing number of studies have been reporting a close association between diabetes 73 and susce...

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“…Several in vitro studies have also demonstrated the strong inhibitory effect of smoking in Neisseria growth [54]. Other genera were enriched in smokers including Bacteroides [55]. Treponema [14].…”

Section: Discussionmentioning

confidence: 99%

“…Treponema [14]. TG5 and Mycoplasma [55]. especially Mycoplasma may be synergize with smoking to produce the pro-inflammatory effects [56].…”

Section: Discussionmentioning

confidence: 99%

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

Lin

Hutchison

Portillo

et al. 2018

Preprint

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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 in the oral microenvironment such as smoking. Additionally, given the complex structural and functional networks in brain system, our knowledge about the relationship between microbiome and brain function in specific brain circuits is still very limited. In this pilot work, we leveraged next generation microbial sequencing with functional neuroimaging techniques 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 non-smokers were recruited for measuring both microbial community and brain functional networks. Statistical analyses were performed to demonstrate the influence of smoking on the abundance of the constituents within the oral microbial community and functional network connectivity among brain regions as well as the associations between microbial shifts and the brain functional network connectivity alternations. Compared to non-smokers, we found a significant decrease in beta diversity (p = 6×10−3) in smokers and identified several classes (Betaproteobacteria, Spirochaetia, Synergistia, and Mollicutes) as having significant alterations in microbial abundance. Taxonomic analyses demonstrate 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 = 0.033), mainly including connectivity between brain default network and other task-positive networks. The brain functional component was also significantly associated with some smoking related oral microbiota, suggesting a potential link between smoking-induced oral microbiome dysbiosis and brain functional connectivity, possibly through 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.

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Types of tobacco consumption and the oral microbiome in the United Arab Emirates Healthy Future (UAEHFS) Pilot Study

Cited by 54 publications

References 57 publications

Revealing Oral Microbiota Composition and Functionality Associated with Heavy Cigarette Smoking.

Revealing Oral Microbiota Composition and Functionality Associated with Heavy Cigarette Smoking.

Characterization of the oral microbiome of medically controlled type-2 diabetes patients

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

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