Analysis of Oral Microbiota in Children with Dental Caries by PCR-DGGE and Barcoded Pyrosequencing

Oral microbiota plays a vital role in maintaining the homeostasis of oral cavity. Dental caries are among the most common oral diseases in children and pathogenic bacteria contribute to the development of the disease. However, the overall structure of bacterial communities in the oral cavity from children with dental caries has not been explored deeply heretofore. We used high-throughput barcoded pyrosequencing and PCR-denaturing gradient gel electrophoresis (DGGE) to examine bacterial diversity of oral microbiota in saliva and supragingival plaques from 60 children aged 3 to 6 years old with and without dental caries from China. The multiplex barcoded pyrosequencing was performed in a single run, with multiple samples tagged uniquely by multiplex identifiers. As PCR-DGGE analysis is a conventional molecular ecological approach, this analysis was also performed on the same samples and the results of both approaches were compared. A total of 186,787 high-quality sequences were obtained for evaluating bacterial diversity and 41,905 unique sequences represented all phylotypes. We found that the oral microbiota in children was far more diverse than previous studies reported, and more than 200 genera belonging to ten phyla were found in the oral cavity. The phylotypes in saliva and supragingival plaques were significantly different and could be divided into two distinct clusters (p < 0.05). The bacterial diversity in oral microbiome analyzed by PCR-DGGE and barcoded pyrosequencing was employed to cross validate the data sets. The genera of Streptococcus, Veillonella, Actinomyces, Granulicatella, Leptotrichia, and Thiomonas in plaques were significantly associated with dental caries (p < 0.05). The results showed that there was no one specific pathogen but rather pathogenic populations in plaque that significantly correlated with dental caries. The enormous diversity of oral microbiota allowed for a better understanding of oral microecosystem, and these pathogenic populations in plaque provide new insights into the etiology of dental caries and suggest new targets for interventions of the disease.     

Analysis of the Microbiota of Black Stain in the Primary Dentition

Black tooth stain is a characteristic extrinsic discoloration commonly seen on the cervical enamel following the contour of the gingiva. To investigate the relationship between black tooth stain and the oral microbiota, we used 16S rRNA gene sequencing to compare the microbial composition of dental plaque and saliva among caries-free children with and without black stain. Dental plaque and saliva, as well as black stain, were sampled from 10 children with and 15 children without black stain. Data were analyzed using the pipeline tool MOTHUR. Student’s t-test was used to compare alpha diversities and the Mann-Whitney U test to compare the relative abundances of the microbial taxa. A total of 10 phyla, 19 classes, 32 orders, 61 families and 102 genera were detected in these samples. Shannon and Simpson diversity were found to be significantly lower in saliva samples of children with black stain. Microbial diversity was reduced in the black stain compared to the plaque samples. Actinomyces, Cardiobacterium, Haemophilus, Corynebacterium, Tannerella and Treponema were more abundant and Campylobacter less abundant in plaque samples of children with black stain. Principal component analysis demonstrated clustering among the dental plaque samples from the control group, while the plaque samples from the black stain group were not and appeared to cluster into two subgroups. Alterations in oral microbiota may be associated with the formation of black stain.     

Pyrosequencing Analysis of Oral Microbiota in Children with Severe Early Childhood Dental Caries

Severe early childhood caries are a prevalent public health problem among preschool children throughout the world. However, little is known about the microbiota found in association with severe early childhood caries. Our study aimed to explore the bacterial microbiota of dental plaques to study the etiology of severe early childhood caries through pyrosequencing analysis based on 16S rRNA gene V1–V3 hypervariable regions. Forty participants were enrolled in the study, and we obtained twenty samples of supragingival plaque from caries-free subjects and twenty samples from subjects with severe early childhood caries. A total of 175,918 reads met the quality control standards, and the bacteria found belonged to fourteen phyla and sixty-three genera. Our results show the overall structure and microbial composition of oral bacterial communities, and they suggest that these bacteria may present a core microbiome in the dental plaque microbiota. Three genera, Streptococcus, Granulicatella, and Actinomyces, were increased significantly in children with severe dental cavities. These data may facilitate improvements in the prevention and treatment of severe early childhood caries.     

Comparison of Oral Microbial Profiles between Children with Severe Early Childhood Caries and Caries-Free Children Using the Human Oral Microbe Identification Microarray

Objective

Early childhood caries (ECC) has become a prevalent public health problem among Chinese preschool children. The bacterial microflora is considered to be an important factor in the formation and progress of dental caries. However, high-throughput and large-scale studies of the primary dentition are lacking. The present study aimed to compare oral microbial profiles between children with severe ECC (SECC) and caries-free children.

Methods

Both saliva and supragingival plaque samples were obtained from children with SECC (n = 20) and caries-free children (n = 20) aged 3 to 4 years. The samples were assayed using the Human Oral Microbe Identification Microarray (HOMIM).

Results

A total of 379 bacterial species were detected in both the saliva and supragingival plaque samples from all children. Thirteen (including Streptococcus) and two (Streptococcus and Actinomyces) bacterial species in supragingival plaque and saliva, respectively, showed significant differences in prevalence between the two groups. Of these, the frequency of Streptococcus mutans detection was significantly higher in both saliva (p = 0.026) and plaque (p = 0.006) samples from the SECC group than in those from the caries-free group.

Conclusions

The findings of our study revealed differences in the oral microbiota between the SECC and caries-free groups Several genera, including Streptococcus, Porphyromonas, and Actinomyces, are strongly associated with SECC and can be potential biomarkers of dental caries in the primary dentition.     

Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS

ObjectiveThrough metabolomics method, the objective of the paper is to differentially screen serum metabolites of GDM patients and healthy pregnant women, to explore potential biomarkers of GDM and analyze related pathways, and to explain the potential mechanism and biological significance of GDM.MethodsThe serum samples from 30 GDM patients and 30 healthy pregnant women were selected to conduct non-targeted metabolomics study by liquid chromatography-mass spectrometry. The differential metabolites between the two groups were searched and the metabolic pathway was analyzed by KEGG database.ResultsMultivariate statistical analysis found that serum metabolism in GDM patients was different significantly from healthy pregnant women, 36 differential metabolites and corresponding metabolic pathways were identified in serum, which involved several metabolic ways like, fatty acid metabolism, butyric acid metabolism, bile secretion, and amino acid metabolism.ConclusionThe discovery of these biomarkers provided a new theoretical basis and experimental basis for further study of the early diagnosis and pathogenesis of GDM. At the same time, LC-MS-based serum metabolomics methods also showed great application values in disease diagnosis and mechanism research.     

Cervicovaginal microbiome dynamics after taking oral probiotics

The vaginal microbiota is less complex than the gut microbiota, and the colonization of Lactobacillus in the female vagina is considered to be critical for reproductive health. Oral probiotics have been suggested as promising means to modulate vaginal homeostasis in the general population. In this study, 60 Chinese women were followed for over a year before, during, and after treatment with the probiotics Lactobacillus rhamnosus GR-1 and Lactobacillus reuteri RC-14. Shotgun metagenomic data of 1334 samples from multiple body sites did not support a colonization route of the probiotics from the oral cavity to the intestinal tract and then to the vagina. Our analyses enable the classification of the cervicovaginal microbiome into a stable state and a state of dysbiosis. The microbiome in the stable group steadily maintained a relatively high abundance of Lactobacilli over one year, which was not affected by probiotic intake, whereas in the dysbiosis group, the microbiota was more diverse and changed markedly over time. Data from a subset of the dysbiosis group suggests this subgroup possibly benefited from supplementation with the probiotics,indicating that probiotics supplementation can be prescribed for women in a subclinical microbiome setting of dysbiosis, providing opportunities for targeted and personalized microbiome reconstitution.     

PCR指纹图谱技术分析人体口腔内微生物菌群结构

目的 应用PCR-DGGE指纹图谱技术对人体口腔微生物菌群结构进行系统性研究.方法 对1例健康人唾液周期性采集的样品和8例健康人个体的唾液与牙菌斑采集的样品,进行微生物群落总DNA的抽提.以此为模板扩增16S rRNA V3可变区,产物经DGGE指纹图谱分析其组成结构,并运用UVIBAND/MAP等软件比较所得群落指纹图谱的相似性指数.结果 同一健康人个体不同采样时间的唾液菌群结构相似性系数＞74%,通过对不同健康个体口腔样本的研究,发现同一个体的唾液与牙菌斑菌群结构存在差异（84%～95%）.结论 同一健康个体其唾液微生物菌群在一定时间内基本稳定,仅有微小的变化;唾液与同个体牙菌斑的微生物组成虽然存在差异,但这种差异要明显小于个体间的差异.     

Meta-omics analysis indicates the saliva microbiome and its proteins associated with the prognosis of oral cancer patients

Saliva is a biofluid that maintains the health of oral tissues and the homeostasis of oral microbiota. Studies have demonstrated that Oral squamous cell carcinoma (OSCC) patients have different salivary microbiota than healthy individuals. However, the relationship between these microbial differences and clinicopathological outcomes is still far from conclusive. Herein, we investigate the capability of using metagenomic and metaproteomic saliva profiles to distinguish between Control (C), OSCC without active lesion (L0), and OSCC with active lesion (L1) patients. The results show that there are significantly distinct taxonomies and functional changes in L1 patients compared to C and L0 patients, suggesting compositional modulation of the oral microbiome, as the relative abundances of Centipeda, Veillonella, and Gemella suggested by metagenomics are correlated with tumor size, clinical stage, and active lesion. Metagenomics results also demonstrated that poor overall patient survival is associated with a higher relative abundance of Stenophotromonas, Staphylococcus, Centipeda, Selenomonas, Alloscordovia, and Acitenobacter. Finally, compositional and functional differences in the saliva content by metaproteomics analysis can distinguish healthy individuals from OSCC patients. In summary, our study suggests that oral microbiota and their protein abundance have potential diagnosis and prognosis value for oral cancer patients. Further studies are necessary to understand the role of uniquely detected metaproteins in the microbiota of healthy and OSCC patients as well as the crosstalk between saliva host proteins and the oral microbiome present in OSCC.     

不同妊娠状态下女性口腔微生物的结构差异性

【背景】妊娠期妇女口腔微生物改变与口腔疾病及全身性疾病之间有显著相关性。【目的】比较不同妊娠状态下女性口腔微生物结构的差异,探讨该差异与不同妊娠状态间的关联性。【方法】选取18名孕妇和9名非孕妇为研究对象[（28.2±3）岁],分为妊娠期糖尿病组[gestational diabetes mellitus,GDM,年龄（28.9±3.6）岁,孕周（30.1±3.2）周]、妊娠期非糖尿病组[non-diabetic pregnant women,PW,年龄（27.9±3.0）岁,孕周（28.6±4.7）周]和非妊娠期非糖尿病组[non-pregnant women,NPW,年龄（27.7±2.1）岁],每组9名,收集口腔唾液（saliva,S）和龈上牙菌斑（supragingival dental plaque,D）,采取Illumina Novaseq测序平台针对细菌16S rRNA基因的V3-V4可变区进行测序,以SILVA为参考数据库使用朴素贝叶斯分类器对特征序列进行分类学注释,利用QIIME软件对样本进行生物信息学分析。【结果】三组中唾液及牙菌斑微生物差异比较显示：D-GDM中二氧化碳嗜纤维菌属检出量高于D-PW,而月形单胞菌属检出量显著低于D-PW;S-GDM中产气单胞菌属、拟杆菌属等厌氧菌属检出量高于S-PW,韦荣氏菌属检出量低于S-PW;D-PW中纤毛菌属、普氏菌属和月形单胞菌属检出量显著高于D-NPW;D-NPW中产气单胞菌属、放线杆菌属、二氧化碳嗜纤维杆菌属、奈瑟菌属、链球菌属和劳特罗氏菌属等检出量高于D-PW;S-PW中韦荣菌属、普氏菌属、链球菌属和卟啉单胞菌属检出量低于S-NPW;D-GDM中福赛斯坦纳菌属、纤毛菌属检出量高于D-NPW,劳特罗氏菌属检出量低于D-NPW;S-GDM中密螺旋体属、弯曲杆菌属检出量高于S-NPW,链球菌属低于S-NPW。在种水平上,S-GDM菌群中具核梭杆菌检出量显著高于S-PW,S-GDM菌群中牙龈卟啉单胞菌及福赛斯坦纳菌检出量与S-PW差异无统计学意义,产黑普氏菌检出量低于S-PW;S-PW中牙龈卟啉单胞菌、产黑普氏菌和福赛斯坦纳菌检出量均显著高于S-NPW。【结论】孕妇妊娠期糖尿病将增加口腔微生物群厌氧菌检出率,GDM与牙龈卟啉单胞菌、福赛斯坦纳菌和产黑普氏菌等牙周炎致病菌相关性不能确定。     

孕妇肠道微生物组成与孕妇及新生儿糖脂代谢相关性研究

目的研究孕妇肠道微生物组成与孕妇以及新生儿糖脂代谢的相关性。方法选择2017年6月至2018年9月在大连市妇幼保健院定期产检的诊断为妊娠期糖尿病(GDM)的孕妇89例为GDM组,血糖正常孕妇96例为对照组。收集孕妇一般资料,孕妇和新生儿糖脂代谢物、孕妇粪便进行微生物检测。结果 GDM组孕妇空腹血糖、甘油三酯明显高于对照组,高密度脂蛋白水平明显低于对照组(均P<0.05)。GDM新生儿脂联素和血糖明显低于对照组,胰岛素和糖化血红蛋白明显高于对照组(均P<0.05)。对照组孕妇肠道微生物中拟杆菌(Bacteroides)丰富度最高(36.6%),其次是普雷沃菌(Prevotella)(15.3%)、柔嫩梭菌(Faecalibacterium)(10.2%)、考拉杆菌(Phascolarctobacterium)(7.2%)。GDM组孕妇肠道微生物中拟杆菌(Bacteroides)丰富度最高(29.4%),其次是柔嫩梭菌(Faecalibacterium)(19.7%)、普雷沃菌(Prevotella)(11.1%)、考拉杆菌(Phascolarctobacterium)(9.3%)。柔嫩梭菌(Faecalibacterium)与孕妇空腹血糖呈正相关(r=0.377 6,P=0.027 6),拟杆菌(Bacteroides)、埃希菌(Escherichia)与孕妇甘油三酯呈负相关(r=-0.027 5,-0.585 8,P=0.023 7,0.041 3)。柔嫩梭菌(Faecalibacterium)与新生儿空腹血糖呈负相关(r=-0.397 6,P=0.027 6)。结论 GDM孕妇肠道微生物构成与血糖正常孕妇不同,菌群丰富度和多样性较低,并且孕妇肠道菌群与其及新生儿的糖脂代谢相关,调节孕妇肠道菌群或有利于改善其与新生儿的糖脂代谢功能。     

Isolation of bacteriophages from the oral cavity

AIMS: To isolate bacteriophages lytic for oral pathogens from human saliva, dental plaque and mature biofilms constituted from saliva-derived bacteria. METHODS AND RESULTS: Saliva and dental plaque samples from healthy volunteers and from patients with gingivitis and periodontitis were examined for the presence of lytic bacteriophage using a panel of oral pathogens and bacteria isolated from the samples. Samples were also enriched for bacteriophage using static culture techniques and mature biofilms. A limited number of samples contained bacteriophage particles that were visualized using electron microscopy. Cultures yielded phage infecting non-oral bacteria (Proteus mirabilis) but no bacteriophage specific for recognized oral pathogens were found. Some micro-organisms from the oral microflora elaborated antibacterial substances that inhibited growth of other residents of the oral cavity. CONCLUSIONS: Unlike other ecosystems, the composition of the oral cavity does not appear to be heavily influenced by interactions between bacteriophages and their hosts. SIGNIFICANCE AND IMPACT OF THE STUDY: Bacteriophage for control of oral infections may need to be obtained from other sources. Antibacterial substances derived from some members of the oral microflora warrant investigation as potential antibiotics.     

Extracellular Glycoside Hydrolase Activities in the Human Oral Cavity

Carbohydrate availability shifts when bacteria attach to a surface and form biofilm. When salivary planktonic bacteria form an oral biofilm, a variety of polysaccharides and glycoproteins are the primary carbon sources; however, simple sugar availabilities are limited due to low diffusion from saliva to biofilm. We hypothesized that bacterial glycoside hydrolase (GH) activities would be higher in a biofilm than in saliva in order to maintain metabolism in a low-sugar, high-glycoprotein environment. Salivary bacteria from 13 healthy individuals were used to grow in vitro biofilm using two separate media, one with sucrose and the other limiting carbon sources to a complex carbohydrate. All six GHs measured were higher in vitro when grown in the medium with complex carbohydrate as the sole carbon source. We then collected saliva and overnight dental plaque samples from the same individuals and measured ex vivo activities for the same six enzymes to determine how oral microbial utilization of glycoconjugates shifts between the planktonic phase in saliva and the biofilm phase in overnight dental plaque. Overall higher GH activities were observed in plaque samples, in agreement with in vitro observation. A similar pattern was observed in GH activity profiles between in vitro and ex vivo data. 16S rRNA gene analysis showed that plaque samples had a higher abundance of microorganisms with larger number of GH gene sequences. These results suggest differences in sugar catabolism between the oral bacteria located in the biofilm and those in saliva.     

Do Maternal Microbes Shape Newborn Oral Microbes?

Strong evidence suggests that the early composition of the oral microbiota of neonates plays an important role for the postnatal development of the oral health or immune system. However, the relationship between the maternal microbiome and the initial neonatal microbiome remains unclear. In this study, 25 pregnant women and their neonates were recruited, and the samples were collected from the maternal oral cavity, amniotic fluid, placenta and neonatal oral cavity. High-throughput sequencing of 16S rRNA was performed using the Illumina MiSeq platform to analyze the correlation with microbial community structure between the maternal and the neonatal oral cavity. The results indicated that the number of shared OTUs was up to 635 in four groups. The PCoA showed that there were certain similarities in the microbial community structure of the four groups. The dominant bacterial genera of the shared OTUs were consistent with human oral microbes, including Streptococcus, Fusobacterium and Prevotella. The results showed that there might be a correlation between the maternal and neonatal oral microbiome, through the amniotic fluid and placenta.Electronic supplementary materialThe online version of this article (10.1007/s12088-020-00901-7) contains supplementary material, which is available to authorized users.     

Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies

Several recent reports have described associations between gestational diabetes (GDM) and changes to the epigenomic landscape where the DNA samples were derived from either cord or placental sources. We employed genome-wide 450K array analysis to determine changes to the epigenome in a unique cohort of maternal blood DNA from 11 pregnant women prior to GDM development relative to matched controls. Hierarchical clustering segregated the samples into 2 distinct clusters comprising GDM and healthy pregnancies. Screening identified 100 CpGs with a mean β-value difference of ≥0.2 between cases and controls. Using stringent criteria, 5 CpGs (within COPS8, PIK3R5, HAAO, CCDC124, and C5orf34 genes) demonstrated potentials to be clinical biomarkers as revealed by differential methylation in 8 of 11 women who developed GDM relative to matched controls. We identified, for the first time, maternal methylation changes prior to the onset of GDM that may prove useful as biomarkers for early therapeutic intervention.     

Diversified Microbiota of Meconium Is Affected by Maternal Diabetes Status

Objectives

This study was aimed to assess the diversity of the meconium microbiome and determine if the bacterial community is affected by maternal diabetes status.

Methods

The first intestinal discharge (meconium) was collected from 23 newborns stratified by maternal diabetes status: 4 mothers had pre-gestational type 2 diabetes mellitus (DM) including one mother with dizygotic twins, 5 developed gestational diabetes mellitus (GDM) and 13 had no diabetes. The meconium microbiome was profiled using multi-barcode 16S rRNA sequencing followed by taxonomic assignment and diversity analysis.

Results

All meconium samples were not sterile and contained diversified microbiota. Compared with adult feces, the meconium showed a lower species diversity, higher sample-to-sample variation, and enrichment of Proteobacteria and reduction of Bacteroidetes. Among the meconium samples, the taxonomy analyses suggested that the overall bacterial content significantly differed by maternal diabetes status, with the microbiome of the DM group showing higher alpha-diversity than that of no-diabetes or GDM groups. No global difference was found between babies delivered vaginally versus via Cesarean-section. Regression analysis showed that the most robust predictor for the meconium microbiota composition was the maternal diabetes status that preceded pregnancy. Specifically, Bacteroidetes (phyla) and Parabacteriodes (genus) were enriched in the meconium in the DM group compared to the no-diabetes group.

Conclusions

Our study provides evidence that meconium contains diversified microbiota and is not affected by the mode of delivery. It also suggests that the meconium microbiome of infants born to mothers with DM is enriched for the same bacterial taxa as those reported in the fecal microbiome of adult DM patients.     

Exploring the Dynamic Core Microbiome of Plaque Microbiota during Head-and-Neck Radiotherapy Using Pyrosequencing

Radiotherapy is the primary treatment modality used for patients with head-and-neck cancers, but inevitably causes microorganism-related oral complications. This study aims to explore the dynamic core microbiome of oral microbiota in supragingival plaque during the course of head-and-neck radiotherapy. Eight subjects aged 26 to 70 were recruited. Dental plaque samples were collected (over seven sampling time points for each patient) before and during radiotherapy. The V1–V3 hypervariable regions of bacterial 16S rRNA genes were amplified, and the high-throughput pyrosequencing was performed. A total of 140 genera belonging to 13 phyla were found. Four phyla (Actinobacteria, Bacteroidetes, Firmicutes, and Proteobacteria) and 11 genera (Streptococcus, Actinomyces, Veillonella, Capnocytophaga, Derxia, Neisseria, Rothia, Prevotella, Granulicatella, Luteococcus, and Gemella) were found in all subjects, supporting the concept of a core microbiome. Temporal variation of these major cores in relative abundance were observed, as well as a negative correlation between the number of OTUs and radiation dose. Moreover, an optimized conceptual framework was proposed for defining a dynamic core microbiome in extreme conditions such as radiotherapy. This study presents a theoretical foundation for exploring a core microbiome of communities from time series data, and may help predict community responses to perturbation as caused by exposure to ionizing radiation.     

Terminal RFLP analysis to determine the oral microbiota with hyposalivation

Previous studies of oral microbiota by culture-dependent or targeted DNA approaches demonstrated that hyposalivation, a reduction in salivary secretions, might increase the amount of certain oral pathogens. However, the relationship between hyposalivation and the balance of oral microbiota, especially uncultivable bacteria, remains still unclear. The aim of this study was to elucidate the relationship between hyposalivation and oral microbiota by analyzing terminal restriction fragment length polymorphism (T-RFLP) of 16S rDNA. The 61 subjects were divided into two groups, hyposalivation group and normo-salivation group. The microbiota of tongue-coating samples was analyzed by T-RFLP. The amount of saliva, the number of Candida albicans, and also the dental status including plaque index, gingival index, bleeding on probing, probing pocket depth and decayed, missing, and filled teeth (DMFT) were assessed. Regarding the dental status, none of the evaluated factors were significantly different between the groups except the number of DMFT. According to the T-RFLP profiles, the patterns of microbiota in the tongue coating were classified into two groups, Clusters I and II. Cluster I is made up 76 % of subjects with hyposalivation, while Cluster II is made up 61 % of subjects with normo-salivation (p < 0.001). Compared with the microbiota found in Cluster II, that in Cluster I had higher proportions of T-RFs corresponding to genera Veillonella, Dialister, Prevotella, Fusobacterium, and Streptococcus. T-RFLP analysis showed a significant role of salivary volume in determining the composition of the microbial community, regardless of the cultivability of the bacteria.     

Evidence of Helicobacter sp. in dental plaque of captive dolphins (Tursiops gephyreus)

Gastrointestinal lesions have been extensively reported in wild and captive marine mammals. However, their etiology remains unclear. In humans and other animals, chronic gastritis and peptic ulcers have been associated with Helicobacter sp. Therefore, the aim of our study was to investigate the presence of Helicobacter sp. in the gastric juice, dental plaque, and saliva of marine mammals living in a controlled environment. Five dolphins (Tursiops gephyreus), one killer whale (Orcinus orca), one false killer whale (Pseudorca crassidens), three sea lions (Otaria flavescens), two elephant seals (Mirounga leonina), and two fur seals (Arctocephalus australis) were studied. Saliva, dental plaque, and gastric juice samples were examined for Helicobacter sp. using polymerase chain reaction. None of the gastric juice or saliva samples were positive for Helicobacter sp. However, Helicobacter sp. DNA was detected in dental plaque from two dolphins, suggesting the oral cavity might be a reservoir of this bacterium.     

Deep Sequencing Identifies Ethnicity-Specific Bacterial Signatures in the Oral Microbiome

Oral infections have a strong ethnic predilection; suggesting that ethnicity is a critical determinant of oral microbial colonization. Dental plaque and saliva samples from 192 subjects belonging to four major ethnicities in the United States were analyzed using terminal restriction fragment length polymorphism (t-RFLP) and 16S pyrosequencing. Ethnicity-specific clustering of microbial communities was apparent in saliva and subgingival biofilms, and a machine-learning classifier was capable of identifying an individual’s ethnicity from subgingival microbial signatures. The classifier identified African Americans with a 100% sensitivity and 74% specificity and Caucasians with a 50% sensitivity and 91% specificity. The data demonstrates a significant association between ethnic affiliation and the composition of the oral microbiome; to the extent that these microbial signatures appear to be capable of discriminating between ethnicities.     

Differences in microbiological composition of saliva and dental plaque in subjects with different drinking habits

Several foods have been shown to contain natural components (especially polyphenols) which display anti-adhesive properties against Streptococcus mutans, the aetiological agent responsible for dental crown caries, as well as inhibition of glucosyltransferases, which are the S. mutans enzymes involved in the synthesis of an adherent, water-insoluble glucan from sucrose. Other studies have demonstrated an in vitro action on oral plaque biofilm formation and desorption. This study evaluated whether the activity displayed in vitro by food compounds could affect the microbiological composition of saliva and dental plaque of subjects with a diet rich in these foods, comparing the results with those obtained from subjects with a different diet. The foods considered were: coffee, barley coffee, tea and wine. A total of 93 subjects were recruited into the study. Six samples of both plaque and saliva were collected from each subject at roughly one-monthly intervals. Total bacteria, total streptococci, S. mutans and lactobacilli counts were determined by culture in both saliva and dental plaque. The highest bacterial titres were recorded for the control population, while each drinking habit subgroup showed counts roughly one log lower than the controls. These differences in bacterial counts proved statistically significant (P<0.05). As far as dental plaque was concerned, while total counts did not significantly vary per mg of plaque in the subjects belonging to the different drinking habit subgroups, a significant decrease (P<0.05) was observed in those subjects drinking coffee, tea, barley coffee and wine when mutans streptococci and lactobacilli were evaluated. In several cases a more than one log decrease was observed. Plaque indices were also determined, and a significant (P<0.05) reduction in values was recorded in the subjects belonging the specific drinking habit subgroups compared to the control group. This study indicates that there is a correlation between consumption of specific foods and oral health in terms of reduced plaque deposition and lower counts of odontopathogens.