Effect of electronic cigarette and tobacco smoking on the human saliva microbial community

Wang, Xue; Mi, Qi-Li; Yang, Jiansheng; Guan, Ying; Zeng, Wei-Bin; Xiang, Hai-Ying; Liu, Xin; Yang, Wenwu; Yang, Guang–Yu; Li, Xuemei; Cui, Yinshan; Gao, Qian

doi:10.1007/s42770-022-00721-5

Cited by 8 publications

(2 citation statements)

References 41 publications

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“…Specifically, higher abundance of specific genera, such as Veillonella, Streptococcus and Rothia, and significantly lower abundance of Neisseria, Haemophilus, Pophyromonas and Actinomyces in smokers compared to exsmokers and never-smokers, was observed (Figure 4.1C, D). In general, these findings are in line with previous studies, which have also identified taxonomic differences in the salivary microbiota in smokers versus non-smokers in different populations, with varying sample size (Wu et al, 2016;Rodrıǵuez-Rabassa et al, 2018;Suzuki et al, 2022;Wang et al, 2022). Thus, our data confirms that smoking to some degree associates with characteristics of the salivary microbiota.…”

Section: Discussionsupporting

confidence: 93%

Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort

Poulsen

Nygaard

Constancias

et al. 2022

Front. Cell. Infect. Microbiol.

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IntroductionPrevious research indicates that the salivary microbiota may be a biomarker of oral as well as systemic disease. However, clarifying the potential bias from general health status and lifestyle-associated factors is a prerequisite of using the salivary microbiota for screening.Materials & MethodsADDDITION-PRO is a nationwide Danish cohort, nested within the Danish arm of the Anglo-Danish-Dutch Study of Intensive treatment in People with Screen-Detected Diabetes in Primary Care. Saliva samples from n=746 individuals from the ADDITION-PRO cohort were characterized using 16s rRNA sequencing. Alpha- and beta diversity as well as relative abundance of genera was examined in relation to general health and lifestyle-associated variables. Permutational multivariate analysis of variance (PERMANOVA) was performed on individual variables and all variables together. Classification models were created using sparse partial-least squares discriminant analysis (sPLSDA) for variables that showed statistically significant differences based on PERMANOVA analysis (p < 0.05).ResultsGlycemic status, hemoglobin-A1c (HbA1c) level, sex, smoking and weekly alcohol intake were found to be significantly associated with salivary microbial composition (individual variables PERMANOVA, p < 0.05). Collectively, these variables were associated with approximately 5.8% of the observed differences in the composition of the salivary microbiota. Smoking status was associated with 3.3% of observed difference, and smoking could be detected with good accuracy based on salivary microbial composition (AUC 0.95, correct classification rate 79.6%).ConclusionsGlycemic status, HbA1c level, sex, smoking and weekly alcohol intake were significantly associated with the composition of the salivary microbiota. Despite smoking only being associated with 3.3% of the difference in overall salivary microbial composition, it was possible to create a model for detection of smoking status with a high correct classification rate. However, the lack of information on the oral health status of participants serves as a limitation in the present study. Further studies in other cohorts are needed to validate the external validity of these findings.

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Section: Discussionsupporting

confidence: 93%

Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort

Poulsen

Nygaard

Constancias

et al. 2022

Front. Cell. Infect. Microbiol.

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“…Genomic, proteomic, and metabolomic are some generic terms for biomarkers. The role of anti-inflammatory drugs on cancer prevention [39] Celecoxib Common treatments for mouth cancer include: [40,41] • Surgery: A treatment called tumor resection involves entirely removing the mouth tumor. Depending on where the tumor is located, a little incision may be made in the jawbone or neck to make removal easier.…”

Section: Common Oral Cancer Symptomsmentioning

confidence: 99%

The Current Scenario Regarding the Narrative Advancement of Oral Cancer

Jayavel¹,

Sivakrishnan²

2022

Clin Cancer Investig J

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Oral cancer is one of the most common types of cancer, and it is a big health issue, especially in developing countries. Even though science has come a long way in various ways, it is still one of the leading causes of death. In many developing countries, smoking and drinking alcohol seem to be the main things that cause oral cancer. Oral cancer (OC) is the most common type of cancer in India. It causes 50-70% of all cancer deaths and has the highest rate of occurrence among Asian countries. Most of the time, oral cancer affects the front of the tongue, the cheek, the floor of the mouth, the gums, or any other part of the mouth, including the palate, the lip, and the floor of the mouth. There are a lot of differences in how often oral cancer happens around the world. The biggest cause of oral disease-related deaths worldwide is estimated to be oral cancer, which is a serious health concern.

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A pilot study on oral microbiome in electronic cigarettes consumers versus traditional cigarettes smokers

Liu,

Yue,

Zhang

et al. 2024

Folia Microbiol

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Effect of electronic cigarette and tobacco smoking on the human saliva microbial community

Cited by 8 publications

References 41 publications

Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort

Association of general health and lifestyle factors with the salivary microbiota – Lessons learned from the ADDITION-PRO cohort

The Current Scenario Regarding the Narrative Advancement of Oral Cancer

A pilot study on oral microbiome in electronic cigarettes consumers versus traditional cigarettes smokers

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