Exploring the oral microflora of preschool children

Ren, Wen; Zhang, Qun; Liu, Xuenan; Zheng, Shuguo; Ma, Lili; Chen, Feng; Xu, Tao; Xu, Baohua

doi:10.1007/s12275-017-6474-8

Cited by 24 publications

(35 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While core microbiota have been shown for individual oral niches in the human literature, the genus level assignments generally differ to those observed here. On a global level, Capnocytophaga, Neisseria, Porphyromonas and Fusobacterium were observed amongst the core microbiota here, and also represent some of the genera which have been reported amongst humans [15,16]. Furthermore, several species of these genera have been shown to be abundant amongst early (24 and 48 h) canine supragingival plaque biofilm [10].…”

Section: Discussionsupporting

confidence: 57%

“…Human studies have indicated subsets of microbiota are core to the health of the oral cavity of different individuals, variation in microbial profiles and diversity across different oral locations and stability in microbiota over time [13][14][15][16][17]. To the best of our knowledge, an extensive study of individual canine oral niches from a microbial perspective has not been conducted.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The canine oral microbiome: variation in bacterial populations across different niches

Ruparell¹,

Inui²,

Staunton³

et al. 2020

BMC Microbiol

View full text Add to dashboard Cite

Background: Microbiota from different niches within the canine oral cavity were profiled and compared. Supragingival plaque and stimulated saliva, were collected alongside samples from the buccal and tongue dorsum mucosa, from 14 Labrador retrievers at three timepoints within a 1 month timeframe. The V3-V4 region of the 16S rRNA gene was sequenced via Illumina MiSeq. Results: Supragingival plaque microbiota had the highest bacterial diversity and the largest number of significant differences in individual taxa when compared to the other oral niches. Stimulated saliva exhibited the highest variability in microbial composition between dogs, yet the lowest bacterial diversity amongst all the niches. Overall, the bacteria of the buccal and tongue dorsum mucosa were most similar. Conclusions: The bacterial community profiles indicated three discrete oral niches: soft tissue surfaces (buccal and tongue dorsum mucosa), hard tissue surface (supragingival plaque) and saliva. The ability to distinguish the niches by their microbiota signature offers the potential for microbial biomarkers to be identified in each unique niche for diagnostic use.

show abstract

Section: Discussionsupporting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

The canine oral microbiome: variation in bacterial populations across different niches

Ruparell¹,

Inui²,

Staunton³

et al. 2020

BMC Microbiol

View full text Add to dashboard Cite

show abstract

“…Several cross-sectional studies showed that a relationship exists between oral microbiome and periodontal diseases among various age groups [28][29][30][31]. However, few cohort studies have investigated the relationship between them.…”

Section: Discussionmentioning

confidence: 99%

Relationship of Salivary Microbiome with the Worsening of the Periodontal Health Status in Young Adults: A 3-Year Cohort Study

Islam

Ekuni

Toyama

et al. 2020

IJERPH

View full text Add to dashboard Cite

The purpose of this prospective cohort study was to investigate the influence of the salivary microbiome on the worsening of the periodontal health status among Japanese young adults. We assessed the data of systemically healthy and non-smoking young (18-22 years) university students (n = 457) from Okayama University at baseline (2013) and follow-up (2016). The worsening group was defined based on an increase in the percentage of bleeding on probing (%BOP) or an increase in probing pocket depth (PPD) from <4 mm to ≥4 mm. Unstimulated saliva samples were randomly collected from 69 students for microbiome analysis at follow-up. The salivary microbiome was assessed through 16S rRNA metagenomic sequencing. The type of community in the salivary microbiome clustered by statistical analysis and diversity was not significantly associated with the worsening of the periodontal health status in cases of increasing %BOP and PPD (p > 0.05). The prevalence of some species was significantly higher in the worsening group than in the non-worsening group (p < 0.05) in both cases. The worsening of the periodontal health status was associated with some species, but not the type of community and diversity in the salivary microbiome among Japanese young adults. , Table S1. Comparison between the worsening and non-worsening groups (increase in gingival bleeding) among all students (n = 457); Table S2. Comparison between the worsening and non-worsening groups (increase in probing pocket depth) among all students (n = 457); Table S3. Conditional odds ratios (ORs) and 95% confidence intervals (CIs) for an increase in gingival bleeding and probing pocket depth among all students (n = 457); Table S4. Comparisons between the two communities; Figure S1. Differences in the salivary microbiome between the two communities; Figure S2. Microbial co-occurrence networks of species. Author Contributions: Conceptualization, D.E., Y.I., and M.M.; methodology, D.E., M.M.I., N.T., and M.M.; validation, K.K. and D.E.; formal analysis, M.M.I; investigation, D.resources, M.M.; data curation, M.M.I., N.T., Y.U., and A.T.-T.; writing-original draft preparation, M.M.I.; writing-review and editing, all authors; project administration, M.M. All authors have read and agreed to the published version of the manuscript.

show abstract

“…The samples with the A260: A280 ratios at 1.8:2.0, and the DNA concentrations in 20-100 ng/µl were screened, and the results indicated that the genomic DNA extracted met the requirements for subsequent sequencing [18]. Finally, after screening 40 high-quality samples [13,19]were selected to perform sequencing analysis: SN (caries-free saliva group, n=10); PN (caries-free plaque group, n=10); SH (caries-active saliva group, n=10); and PH (caries-active plaque group, n=10). The DNA samples were stored at −20°C before use.…”

Section: Dna Extraction and Puri Cationmentioning

confidence: 99%

“…Thanks to recent advancements in molecular biology techniques, metagenomic and metaproteomic can be used to obtain a complete analysis of the oral bacteria and proteomic. Next-generation sequencing technologies have been successfully applied in oral microbial analysis [12][13][14]. The isobaric tags for relative and absolute quantitation (iTRAQ) is a new technique which uses isotopes to label polypeptides for comparing proteomes quantitatively [15,16].…”

Section: Introductionmentioning

confidence: 99%

The Oral Microbiome and Salivary Proteins Influence Caries in Children aged 6 to 8 years

Chen

Jiang

Yan

et al. 2020

Preprint

View full text Add to dashboard Cite

Background Oral microbiome and salivary proteins play a critical role in the occurrence and development of caries. In this study, we used metagenomic and metaproteomic analyses to explore the microbiological and proteinic biomarkers and investigate the etiology of caries in 6-8 year old children. Our study aims to offer a better comprehension of these factors and the relationship with caries, and these findings might facilitate caries risk assessment and provide a basis for future prevention strategies. Methods Children six to eight years old living in rural isolated areas including 40 caries-active subjects and 40 caries-free subjects were recruited. Supragingival plaque and unstimulated saliva were collected for 16S rDNA pyrosequencing and isobaric tags for relative and absolute quantitation (iTRAQ) technique coupled with quantitative nano-flow liquid chromatography-tandem mass spectrometry(LC-MS/MS), respectively. Results We found 6 phyla and 13 genera predominant in all the samples, and differences in relative abundances can be observed. The Alpha diversity analysis demonstrated that the richness and diversity of the bacterial communities were similar between children with caries-free and caries-active groups; LEfSe detected differences in the bacterial community including Dialister, Selenomonas, Actinomyces, and Mogibacterium in the caries-active group (P<0.05) and Capnocytophaga, Fusobacterium, Desulfuromonadales, Haemophilus, and Porphyromonas in the caries-free group(P<0.05). The core microbiome was defined as 18 predominant genera in preschool children with caries. The results of the salivary proteome identified 9135 unique peptides and 1662 proteins group from 20 salivary samples. Two hundred fifty-eight proteins were differentially expressed between the caries-free and caries-active groups. Conclusions The diversity of the microbial community has little effect on caries but some bacteria with different relative abundance between the caries-active and caries-free group could be considered as potential biomarkers for children with caries.In addition, as a critical host factor of caries, the salivary proteins are different in caries-free and caries-active groups.

show abstract

Exploring the oral microflora of preschool children

Cited by 24 publications

References 34 publications

The canine oral microbiome: variation in bacterial populations across different niches

The canine oral microbiome: variation in bacterial populations across different niches

Relationship of Salivary Microbiome with the Worsening of the Periodontal Health Status in Young Adults: A 3-Year Cohort Study

The Oral Microbiome and Salivary Proteins Influence Caries in Children aged 6 to 8 years

Contact Info

Product

Resources

About