The relationship between cigarette smoking and the tongue microbiome in an East Asian population

Sato, Noriaki; Kakuta, Masanori; Uchino, Eiichiro; Hasegawa, Takanori; Kojima, Ryosuke; Kobayashi, Wataru; Sawada, Kaori; Tamura, Yoshihiro; Tokuda, Itoyo; Imoto, Seiya; Nakaji, Shigeyuki; Murashita, Koichi; Okuno, Yasushi

doi:10.1080/20002297.2020.1742527

Cited by 24 publications

(29 citation statements)

References 44 publications

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“…This observation was in accordance with previous studies (Wu et al, 2016;Yang et al, 2019). At the genus level, most of the differentially abundant taxa that we identified were consistent with those observed in previous studies (Camelo-Castillo et al, 2015;Wu et al, 2016;Yang et al, 2019;Sato et al, 2020b;Wirth et al, 2020), except for Moryella, Bulleidia, and Moraxella. The previous 16S rRNA gene sequences on cigarette smoking and oral microbiota have been less thoroughly investigated at the species level.…”

Section: Discussionsupporting

confidence: 93%

“…Yang et al investigated cigarette smoking in relation to the oral microbiota of mouth rinse samples in low-income and African-American populations, and they observed that changes in oral microbiota caused by cigarette smoking were recovered after smoking cessation (Yang et al, 2019). Sato et al observed in East Asians that tongue microbiota and related metagenomic pathways of current smokers differ from those of never smokers (Sato et al, 2020b).…”

Section: Introductionmentioning

confidence: 99%

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Association Between Oral Microbiota and Cigarette Smoking in the Chinese Population

Jia

Liao

et al. 2021

Front. Cell. Infect. Microbiol.

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The oral microbiota has been observed to be influenced by cigarette smoking and linked to several human diseases. However, research on the effect of cigarette smoking on the oral microbiota has not been systematically conducted in the Chinese population. We profiled the oral microbiota of 316 healthy subjects in the Chinese population by 16S rRNA gene sequencing. The alpha diversity of oral microbiota was different between never smokers and smokers (P = 0.002). Several bacterial taxa were first reported to be associated with cigarette smoking by LEfSe analysis, including Moryella (q = 1.56E-04), Bulleidia (q = 1.65E-06), and Moraxella (q = 3.52E-02) at the genus level and Rothia dentocariosa (q = 1.55E-02), Prevotella melaninogenica (q = 8.48E-08), Prevotella pallens (q = 4.13E-03), Bulleidia moorei (q = 1.79E-06), Rothia aeria (q = 3.83E-06), Actinobacillus parahaemolyticus (q = 2.28E-04), and Haemophilus parainfluenzae (q = 4.82E-02) at the species level. Two nitrite-producing bacteria that can increase the acidity of the oral cavity, Actinomyces and Veillonella, were also enriched in smokers with FDR-adjusted q-values of 3.62E-06 and 1.10E-06, respectively. Notably, we observed that two acid production-related pathways, amino acid-related enzymes (q = 6.19E-05) and amino sugar and nucleotide sugar metabolism (q = 2.63E-06), were increased in smokers by PICRUSt analysis. Finally, the co-occurrence analysis demonstrated that smoker-enriched bacteria were significantly positively associated with each other and were negatively correlated with the bacteria decreased in smokers. Our results suggested that cigarette smoking may affect oral health by creating a different environment by altering bacterial abundance, connections among oral microbiota, and the microbiota and their metabolic function.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Association Between Oral Microbiota and Cigarette Smoking in the Chinese Population

Jia

Liao

et al. 2021

Front. Cell. Infect. Microbiol.

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“…To our knowledge, this is the first study investigating the effect of ST on tongue microbiome. Only two studies used a comparable approach, in order to assess the effect of smoking on tongue microbiome using 16S [29] or metagenome sequencing [30]. Interestingly, both showed Streptococci to be enriched in the current smokers, which is consistent with our findings.…”

Section: Discussionsupporting

confidence: 88%

Tongue microbiome of smokeless tobacco users

et al. 2020

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Background: The possibility that smokeless tobacco may contribute to oral carcinogenesis by influencing the oral microbiome has not been explored. This preliminary cross-sectional study sought to assess the effect of using shammah, a form of smokeless tobacco prevalent in Arabia, on the tongue microbiome. Tongue scarping samples were obtained from 29 shammah users (SU; 27.34 ± 6.9 years) and 23 shammah non-users (SNU; 27.7 ± 7.19 years) and analyzed with 16S rRNA gene sequencing (V1-V3). Species-level taxonomy assignment of the high-quality, merged reads was obtained using a previously described BLASTn-based algorithm. Downstream analyses were performed with QIIME, LEfSe, and R. Results: A total of 178 species, belonging to 62 genera and 8 phyla were identified. Genera Streptococcus, Leptotrichia, Actinomyces, Veillonella, Haemophilus, Prevotella and Neisseria accounted for more than 60% of the average microbiome. There were no differences between the two groups in species richness and alpha-diversity, but PCoA showed significant separation (P = 0.015, ANOSIM). LEfSe analysis identified 22 species to be differentially abundant between the SU and SNU. However, only 7 species maintained a false discovery rate of ≤0.2 and could cluster the two groups separately: Rothia mucilaginosa, Streptococcus sp. oral taxon 66, Actinomyces meyeri, Streptococcus vestibularis Streptococcus sanguinis and a potentially novel Veillonella species in association with SU, and Oribacterium asaccharolyticum with SNU. Conclusion: These preliminary results indicate that shammah use induces tongue microbiome changes including enrichment of several species with high acetaldehyde production potential, which warrants further investigation.

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“…Investigating the association between the abundance of enzymes from bacterial communities and related diseases is one of the most important goals of microbiome studies [ 31 , 32 ]. Here, the MetGEMs toolbox with Core-Function was used to detect differentially abundant enzyme functions between healthy and disease groups.…”

Section: Resultsmentioning

confidence: 99%

MetGEMs Toolbox: Metagenome-scale models as integrative toolbox for uncovering metabolic functions and routes of human gut microbiome

et al. 2021

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Investigating metabolic functional capability of a human gut microbiome enables the quantification of microbiome changes, which can cause a phenotypic change of host physiology and disease. One possible way to estimate the functional capability of a microbial community is through inferring metagenomic content from 16S rRNA gene sequences. Genome-scale models (GEMs) can be used as scaffold for functional estimation analysis at a systematic level, however up to date, there is no integrative toolbox based on GEMs for uncovering metabolic functions. Here, we developed the MetGEMs (metagenome-scale models) toolbox, an open-source application for inferring metabolic functions from 16S rRNA gene sequences to facilitate the study of the human gut microbiome by the wider scientific community. The developed toolbox was validated using shotgun metagenomic data and shown to be superior in predicting functional composition in human clinical samples compared to existing state-of-the-art tools. Therefore, the MetGEMs toolbox was subsequently applied for annotating putative enzyme functions and metabolic routes related in human disease using atopic dermatitis as a case study.

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The relationship between cigarette smoking and the tongue microbiome in an East Asian population

Cited by 24 publications

References 44 publications

Association Between Oral Microbiota and Cigarette Smoking in the Chinese Population

Association Between Oral Microbiota and Cigarette Smoking in the Chinese Population

Tongue microbiome of smokeless tobacco users

MetGEMs Toolbox: Metagenome-scale models as integrative toolbox for uncovering metabolic functions and routes of human gut microbiome

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