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Bacterial diversity in saliva and oral health-related conditions: the Hisayama Study
- Source :
- Scientific Reports
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- This population-based study determined the salivary microbiota composition of 2,343 adult residents of Hisayama town, Japan, using 16S rRNA gene next-generation high-throughput sequencing. Of 550 identified species-level operational taxonomic units (OTUs), 72 were common, in ≥75% of all individuals, as well as in ≥75% of the individuals in the lowest quintile of phylogenetic diversity (PD). These “core” OTUs constituted 90.9 ± 6.1% of each microbiome. The relative abundance profiles of 22 of the core OTUs with mean relative abundances ≥1% were stratified into community type I and community type II by partitioning around medoids clustering. Multiple regression analysis revealed that a lower PD was associated with better conditions for oral health, including a lower plaque index, absence of decayed teeth, less gingival bleeding, shallower periodontal pockets and not smoking, and was also associated with tooth loss. By contrast, multiple Poisson regression analysis demonstrated that community type II, as characterized by a higher ratio of the nine dominant core OTUs, including Neisseria flavescens, was implicated in younger age, lower body mass index, fewer teeth with caries experience, and not smoking. Our large-scale data analyses reveal variation in the salivary microbiome among Japanese adults and oral health-related conditions associated with the salivary microbiome.
- Subjects :
- Adult
Male
0301 basic medicine
Saliva
Gingival and periodontal pocket
Population
Oral Health
Biology
Article
Microbiology
03 medical and health sciences
symbols.namesake
0302 clinical medicine
Japan
Tooth loss
medicine
Humans
Mass index
Microbiome
Poisson regression
education
Phylogeny
Aged
education.field_of_study
Multidisciplinary
Microbiota
030206 dentistry
Middle Aged
030104 developmental biology
Oral microbiology
symbols
Female
medicine.symptom
Demography
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....2e144bab5bd2d52c459f3bac41f62a8d
- Full Text :
- https://doi.org/10.1038/srep22164