Association Between Oral Microbiota and Cigarette Smoking in the Chinese Population

Study information

Needs review

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

34123872

DOI Digital object identifier for electronic documents.

https://doi.org/10.3389/fcimb.2021.658203

URI Uniform resource identifier for web resources.

https://pubmed.ncbi.nlm.nih.gov/34123872/

Authors

Jia YJ, Liao Y, He YQ, Zheng MQ, Tong XT, Xue WQ, Zhang JB, Yuan LL, Zhang WL, Jia WH

Journal

Frontiers in cellular and infection microbiology

Year

2021

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.

Experiment 1

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Curated date: 2023/04/15

Curator: Atrayees

Revision editor(s): Atrayees

Subjects

Location of subjects: China

Host species Species from which microbiome was sampled (if applicable): Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Saliva Sailva normalis,Saliva atomaris,Saliva molecularis,Salivary gland secretion,Saliva

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: smoking behavior smoking,smoking behavior

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Never smokers
Group 1 name Corresponds to the case (exposed) group for case-control studies: Smokers
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Subjects who smoked at least one cigarette every one to three days in the past year, or who smoked at least one cigarette every one to three days but had quit smoking for at least a year.
Group 0 sample size Number of subjects in the control (unexposed) group: 150
Group 1 sample size Number of subjects in the case (exposed) group: 166

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V4

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Statistical test: LEfSe

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: Yes
LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool: 2.0
Matched on Factors on which subjects have been matched on in a case-control study: age, sex

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: increased

Signature 1

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Curated date: 2023/04/15

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Source: Figure 2, text

Description: Relatively abundant genera and species.

Abundance in Group 1: increased abundance in Smokers

NCBI	Links
Actinomyces �
Atopobium �
Bulleidia
Campylobacter �
Megasphaera �
Moryella
Oribacterium �
Prevotella �
Veillonella �
Rothia dentocariosa �
Prevotella pallens �
Prevotella melaninogenica �
Veillonella dispar �
Solobacterium moorei �

Revision editor(s): Atrayees

Signature 2

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Mark reviewed

Your review change was submitted

Needs review

Curated date: 2023/04/15

Curator: Atrayees

Revision editor(s): Atrayees

Source: text, Figure 2

Description: Relatively abundant genera and species.

Abundance in Group 1: decreased abundance in Smokers

NCBI	Links
Aggregatibacter �
Cardiobacterium �
Eikenella �
Haemophilus �
Kingella �
Lautropia �
Moraxella �
Neisseria �
Neisseria oralis �
Neisseria subflava �
Peptococcus �
Rothia aeria �
Actinobacillus parahaemolyticusActinobacillus parahaemolyticus
Haemophilus parainfluenzae �

Revision editor(s): Atrayees