Characterization of the salivary microbiome in people with obesity

Study information

Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

study design

case-control

Citation

PMID PubMed identifier for scientific articles.

29576948

DOI Digital object identifier for electronic documents.

10.7717/peerj.4458

URI

Authors

Wu Y, Chi X, Zhang Q, Chen F, Deng X

Journal

PeerJ

Year

2018

Keywords:

Body-Mass Index, High-throughput nucleotide sequencing, Microbiome, Obesity, Oral microbiome

Background: The interactions between the gut microbiome and obesity have been extensively studied. Although the oral cavity is the gateway to the gut, and is extensively colonized with microbes, little is known about the oral microbiome in people with obesity. In the present study, we investigated the salivary microbiome in obese and normal weight healthy participants using metagenomic analysis. The subjects were categorized into two groups, obesity and normal weight, based on their BMIs. Methods: We characterized the salivary microbiome of 33 adults with obesity and 29 normal weight controls using high-throughput sequencing of the V3-V4 region of the 16S rRNA gene (Illumina MiSeq). None of the selected participants had systemic, oral mucosal, or periodontal diseases. Results: The salivary microbiome of the obesity group was distinct from that of the normal weight group. The salivary microbiome of periodontally healthy people with obesity had both significantly lower bacterial diversity and richness compared with the controls. The genus Prevotella, Granulicatella, Peptostreptococcus, Solobacterium, Catonella, and Mogibacterium were significantly more abundant in the obesity group; meanwhile the genus Haemophilus, Corynebacterium, Capnocytophaga, and Staphylococcus were less abundant in the obesity group. We also performed a functional analysis of the inferred metagenomes, and showed that the salivary community associated with obesity had a stronger signature of immune disease and a decreased functional signature related to environmental adaptation and Xenobiotics biodegradation compared with the normal weight controls. Discussion: Our study demonstrates that the microbial diversity and structure of the salivary microbiome in people with obesity are significantly different from those of normal weight controls. These results suggested that changes in the structure and function of salivary microbiome in people with obesity might reflect their susceptibility to oral diseases.

Experiment 1

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Curated date: 2021/01/10

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Subjects

Location of subjects: China

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Saliva

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology

Group 0 name Corresponds to the control (unexposed) group for case-control studies: controls

Group 1 name Corresponds to the case (exposed) group for case-control studies: Obesity group

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: obesity group (BMI ≥30)

Group 0 sample size Number of subjects in the control (unexposed) group: 29

Group 1 sample size Number of subjects in the case (exposed) group: 33

Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any): 3 months

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V3-V4

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

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances

Statistical test: Kruskall-Wallis

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

Alpha Diversity

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

Chao1 Abundance-based estimator of species richness: decreased

Richness Number of species: decreased

Signature 1

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Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): Lwaldron, WikiWorks

Source: Figure 2

Description: Differentially abundant taxa between people with obesity and normal weight control

Abundance in Group 1: increased abundance in Obesity group

NCBI	Quality Control	Links
Bacteroidales
Bacteroidia
Cardiobacteriaceae
Carnobacteriaceae
Catonella
Comamonadaceae
Erysipelotrichaceae
Erysipelotrichales
Erysipelotrichia
Granulicatella
Mogibacterium
Peptococcaceae
Peptostreptococcus
Prevotella
Prevotellaceae
Solobacterium
Xanthobacteraceae
Peptostreptococcaceae

Revision editor(s): Lwaldron, WikiWorks

Signature 2

Edit History Delete

Flag for review

Your review change was submitted

Reviewed Marked as Reviewed by Shaimaa Elsafoury on 2021/02/09

Curated date: 2021/01/10

Curator: Rimsha Azhar

Revision editor(s): WikiWorks

Source: Figure 2

Description: Differentially abundant taxa between people with obesity and normal weight control

Abundance in Group 1: decreased abundance in Obesity group

NCBI	Quality Control	Links
Gammaproteobacteria
Flavobacteriia
Pasteurellales
Burkholderiales
Flavobacteriales
Mycobacteriales
Cardiobacteriales
Lysobacterales
Pasteurellaceae
Burkholderiaceae
Flavobacteriaceae
Corynebacteriaceae
Haemophilus
Cardiobacterium
Staphylococcaceae
Capnocytophaga
Lautropia
Corynebacterium
Staphylococcus
Stenotrophomonas

Revision editor(s): WikiWorks