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Geographic Variation Did Not Affect the Predictive Power of Salivary Microbiota for Caries in Children With Mixed Dentition
- Source :
- Frontiers in Cellular and Infection Microbiology, Frontiers in Cellular and Infection Microbiology, Vol 11 (2021)
- Publication Year :
- 2021
-
Abstract
- Dental caries is one of the most prevalent chronic oral diseases, affecting approximately half of children worldwide. The microbial composition of dental caries may depend on age, oral health, diet, and geography, yet the effect of geography on these microbiomes is largely underexplored. Here, we profiled and compared saliva microbiota from 130 individuals aged 6 to 8 years old, representing both healthy children (H group) and children with caries-affected (C group) from two geographical regions of China: a northern city (Qingdao group) and a southern city (Guangzhou group). First, the saliva microbiota exhibited profound differences in diversity and composition between the C and H groups. The caries microbiota featured a lower alpha diversity and more variable community structure than the healthy microbiota. Furthermore, the relative abundance of several genera (e.g., Lactobacillus, Gemella, Cryptobacterium and Mitsuokella) was significantly higher in the C group than in the H group (pStreptococcus mutans in populations is not very high, it could be regarded as a single biomarker to diagnose caries with decent accuracy. These findings demonstrated that despite the large effect size of geography, a universal model based on salivary microbiota has the potential to diagnose caries across the Chinese child population.
- Subjects :
- 0301 basic medicine
Microbiology (medical)
Saliva
China
mixed dentition
Dentition, Mixed
Dental Caries Susceptibility
Immunology
Dental Caries
Affect (psychology)
Microbiology
geography
03 medical and health sciences
0302 clinical medicine
Cellular and Infection Microbiology
Lactobacillus
Humans
Microbiome
diagnosis models
Mixed dentition
Child
Original Research
caries
biology
Microbiota
030206 dentistry
biology.organism_classification
Streptococcus mutans
QR1-502
030104 developmental biology
Infectious Diseases
Gemella
Biomarker (medicine)
saliva microbiota
Demography
Subjects
Details
- ISSN :
- 22352988
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Frontiers in cellular and infection microbiology
- Accession number :
- edsair.doi.dedup.....0351fc8cd0d8548882137eea4a622ee0