Microbiome of Saliva and Plaque in Children According to Age and Dental Caries Experience

Lee, Eungyung; Park, Suhyun; Um, Sunwoo; Kim, Seunghoon; Lee, Jaewoong; Jang, Jinho; Jeong, Hyoung-oh; Shin, Jonghyun; Kang, JiHoon; Lee, Semin; Jeong, Tae-Sung

doi:10.3390/diagnostics11081324

Cited by 29 publications

(24 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding genus classi cation, Metastat analysis revealed signi cant between-group differences in the abundance of Neisseria, Lautropia, Lactobacillus, Porphyromonas, and Aggregatibacter (p < 0.05). A previous study reported that Neisseria was more abundant in CF children and could be a diagnostic biomarker [44], which is consistent with our ndings. Additionally, a previous study found that Veillonella was more abundant in childhood caries and that its co-aggregation and adhesion with Streptococcus spp.…”

Section: Microbiomesupporting

confidence: 93%

Salivary microbiome and metabolome analysis of severe early childhood caries

Wang

et al. 2022

Preprint

View full text Add to dashboard Cite

BACKGROUND: Severe early childhood caries (SECC) is a bacterial inflammatory disease with complex pathology. Although changes in the oral microbiota and metabolic profile of patients with ECC have been identified, the salivary metabolites and the relationship of host-bacterial interactions with biochemical metabolism remain unclear. We aimed to analyse alterations in the salivary microbiome and metabolome of children with SECC as well as their correlations. Accordingly, we aimed to explore potential salivary biomarkers in order to gain further insight into the pathophysiology of dental caries. Methods: We collected 120 saliva samples from 30 children with SECC and 30 children without caries. The microbial community was identified through 16S ribosomal RNA (rRNA) gene high-throughput sequencing. Additionally, we conducted non-targeted metabolomic analysis through ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry to determine the relative metabolite levels and their correlation with the clinical caries status.RESULTS: There was a significant between-group difference in 8 phyla and 32 genera in the microbiome. Further, metabolomic and enrichment analyses revealed significantly altered 32 salivary metabolites in children with dental caries, which involved pathways such as amino acid metabolism, pyrimidine metabolism, purine metabolism, ATP-binding cassette transporters, and cyclic adenosine monophosphate signalling pathway. Moreover, four in vivo differential metabolites (2-benzylmalate, epinephrine, 2-formaminobenzoylacetate, and 3-Indoleacrylic acid) might be jointly applied as biomarkers (area under the curve = 0.734). Furthermore, the caries status was correlated with microorganisms and metabolites. Additionally, Spearman's correlation analysis of differential microorganisms and metabolites revealed that Veillonella, Staphylococcus, Neisseria, and Porphyromonas were closely associated with differential metabolites.Conclusion: This study identified different microbial communities and metabolic profiles in saliva, which may be closely related to caries status. Our findings could inform future strategies for personalized caries prevention, detection, and treatment.

show abstract

Section: Microbiomesupporting

confidence: 93%

Salivary microbiome and metabolome analysis of severe early childhood caries

Wang

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The introduction of high-throughput 16S rRNA sequencing has provided new insights into the compositions and structures of microbial communities ( Yang et al., 2012 ). At present, giant panda oral microbes still need to be explored, in order to better classify and identify microorganisms, we have selected the more reported V3 and V4 variable regions which yield the highest accuracies of phylogenetic assignment and Illumina mature system in our study ( Xu et al., 2018 ; Lee et al., 2021 ).…”

Section: Resultsmentioning

confidence: 99%

The Plaque Microbiota Community of Giant Panda (Ailuropoda melanoleuca) Cubs With Dental Caries

Hou

Guo

et al. 2022

Front. Cell. Infect. Microbiol.

View full text Add to dashboard Cite

Dental caries severely hinders efficient access to adequate energy in wildlife. Different food supplies will develop characteristic plaque, and the microorganisms of these plaque are closely related to dental health. Here, plaque samples from panda cubs with caries and caries-free were collected for 16S rRNA high-throughput sequencing. All sequences clustered into 337 operational taxonomic units (OTUs; 97% identity), representing 268 independent species belonging to 189 genera, 98 families, 51 orders, 24 classes, and 13 phyla. Two groups shared 218 OTUs, indicating the presence of a core plaque microbiome. α diversity analysis showed that the microbial diversity in plaques with caries exceeded that of caries-free. The dominant phyla of plaque microbiota included Proteobacteria, Bacteroidetes, Firmicutes, Fusobacteria, and Actinobacteria. The dominant genera included unclassified Neisseriaceae, Actinobacillus, Lautropia, Neisseria, Porhyromonas, unclassified Pasteurellaceae, Moraxella, Streptococcus, Bergeywlla and Capnocytophaga. β diversity analysis showed that the plaque microbial community structure was different between two groups. Using LEfSe analysis, 19 differentially abundant taxa were identified as potential biomarkers. Finally, function predictions analysis showed All the energy related metabolic pathways on KEGG level 2 were enriched in caries-active group. Consistent with the mainstream caries-causing narrative, our results illuminate the lack of information regarding the oral microflora composition and function within giant panda cubs.

show abstract

“…Since periodontitis is the result of a disturbed microbial homoeostasis, 163 an improvement of personal oral hygiene, coupled with professional biofilm and calculus removal followed by an individually tailored supportive therapy are the key parts of successful periodontal therapy 211 . While mechanical root debridement leads to a microbiome comparable to that of periodontally healthy subjects, 212 personal oral hygiene and instrumentation decrease inflammatory mediators in the oral cavity 213 . Dental therapy in mild AD improved periodontal indices and quality of life 214 .…”

Section: Discussionmentioning

confidence: 99%

Periodontal microorganisms and Alzheimer disease – A causative relationship?

Jungbauer

Stähli

Zhu

et al. 2022

Periodontology 2000

View full text Add to dashboard Cite

In the initiation or exacerbation of Alzheimer disease, the dissemination of oral microorganisms into the brain tissue or the low‐level systemic inflammation have been speculated to play a role. However, the impact of oral microorganisms, such as Porphyromonas gingivalis, on the pathogenesis of Alzheimer disease and the potential causative relationship is still unclear. The present review has critically reviewed the literature by examining the following aspects: (a) the oral microbiome and the immune response in the elderly population, (b) human studies on the association between periodontal and gut microorganisms and Alzheimer disease, (c) animal and in vitro studies on microorganisms and Alzheimer disease, and (d) preventive and therapeutic approaches. Factors contributing to microbial dysbiosis seem to be aging, local inflammation, systemic diseases, wearing of dentures, living in nursing homes and no access to adequate oral hygiene measures. Porphyromonas gingivalis was detectable in post‐mortem brain samples. Microbiome analyses of saliva samples or oral biofilms showed a decreased microbial diversity and a different composition in Alzheimer disease compared to cognitively healthy subjects. Many in‐vitro and animal studies underline the potential of P gingivalis to induce Alzheimer disease‐related alterations. In animal models, recurring applications of P gingivalis or its components increased pro‐inflammatory mediators and β‐amyloid in the brain and deteriorated the animals' cognitive performance. Since periodontitis is the result of a disturbed microbial homoeostasis, an effect of periodontal therapy on the oral microbiome and host response related to cognitive parameters may be suggested and should be elucidated in further clinical trials.

show abstract

Microbiome of Saliva and Plaque in Children According to Age and Dental Caries Experience

Cited by 29 publications

References 64 publications

Salivary microbiome and metabolome analysis of severe early childhood caries

Salivary microbiome and metabolome analysis of severe early childhood caries

The Plaque Microbiota Community of Giant Panda (Ailuropoda melanoleuca) Cubs With Dental Caries

Periodontal microorganisms and Alzheimer disease – A causative relationship?

Contact Info

Product

Resources

About