Association of Bitter Taste Receptor T2R38 Polymorphisms, Oral Microbiota, and Rheumatoid Arthritis

The association of taste genetics and the oral microbiome in autoimmune diseases such as rheumatoid arthritis (RA) has not been reported. We explored a novel oral mucosal innate immune pathway involving the bitter taste G protein-coupled receptor T2R38. This case–control study aimed to evaluate whether T2R38 polymorphisms associate with the buccal microbial composition in RA. Genomic DNA was obtained from buccal swabs of 35 RA patients and 64 non-RA controls. TAS2R38 genotypes were determined by Sanger sequencing. The buccal microbiome was assessed by Illumina MiSeq sequencing of the V4-16S rRNA gene. Bacterial community differences were analyzed with alpha and beta diversity measures. Linear discriminant analysis effect size identified taxa discriminating between RA versus non-RA and across TAS2R38 genotypes. TAS2R38 genotype frequency was similar between RA and non-RA controls (PAV/PAV; PAV/AVI; AVI/AVI: RA 42.9%; 45.7%; 11.4% versus controls 32.8%; 48.4%; 18.8%, chi-square (2, N = 99) = 2.1, p = 0.35). The relative abundance of Porphyromonas, among others, differed between RA and non-RA controls. The relative abundance of several bacterial species also differed across TAS2R38 genotypes. These findings suggest an association between T2R38 polymorphisms and RA buccal microbial composition. However, further research is needed to understand the impact of T2R38 in oral health and RA development.

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Investigation of the impact of commonly used medications on the oral microbiome of individuals living without major chronic conditions

PLoS ONE ◽

10.1371/journal.pone.0261032 ◽

2021 ◽

Vol 16 (12) ◽

pp. e0261032

Author(s):

Vanessa DeClercq ◽

Jacob T. Nearing ◽

Morgan G. I. Langille

Keyword(s):

Thyroid Hormones ◽

Relative Abundance ◽

Beta Diversity ◽

Chronic Conditions ◽

Oral Microbiome ◽

Rrna Gene ◽

Oral Microbiota ◽

Shannon Diversity ◽

Significant Difference ◽

The Impact

Background Commonly used medications produce changes in the gut microbiota, however, the impact of these medications on the composition of the oral microbiota is understudied. Methods Saliva samples were obtained from 846 females and 368 males aged 35–69 years from a Canadian population cohort, the Atlantic Partnership for Tomorrow’s Health (PATH). Samples were analyzed by 16S rRNA gene sequencing and differences in microbial community compositions between nonusers, single-, and multi-drug users as well as the 3 most commonly used medications (thyroid hormones, statins, and proton pump inhibitors (PPI)) were examined. Results Twenty-six percent of participants were taking 1 medication and 21% were reported taking 2 or more medications. Alpha diversity indices of Shannon diversity, Evenness, Richness, and Faith’s phylogenetic diversity were similar among groups, likewise beta diversity as measured by Bray-Curtis dissimilarity (R2 = 0.0029, P = 0.053) and weighted UniFrac distances (R2 = 0.0028, P = 0.161) were non-significant although close to our alpha value threshold (P = 0.05). After controlling for covariates (sex, age, BMI), six genera (Saprospiraceae uncultured, Bacillus, Johnsonella, Actinobacillus, Stenotrophomonas, and Mycoplasma) were significantly different from non-medication users. Thyroid hormones, HMG-CoA reductase inhibitors (statins) and PPI were the most reported medications. Shannon diversity differed significantly among those taking no medication and those taking only thyroid hormones, however, there were no significant difference in other measures of alpha- or beta diversity with single thyroid hormone, statin, or PPI use. Compared to participants taking no medications, the relative abundance of eight genera differed significantly in participants taking thyroid hormones, six genera differed in participants taking statins, and no significant differences were observed with participants taking PPI. Conclusion The results from this study show negligible effect of commonly used medications on microbial diversity and small differences in the relative abundance of specific taxa, suggesting a minimal influence of commonly used medication on the salivary microbiome of individuals living without major chronic conditions.

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Oral Microbiota Identifies Patients in Early Onset Rheumatoid Arthritis

Microorganisms ◽

10.3390/microorganisms9081657 ◽

2021 ◽

Vol 9 (8) ◽

pp. 1657

Author(s):

Anders Esberg ◽

Linda Johansson ◽

Ingegerd Johansson ◽

Solbritt Rantapää Dahlqvist

Keyword(s):

Rheumatoid Arthritis ◽

Early Onset ◽

Amplicon Sequencing ◽

Oral Bacteria ◽

Oral Microbiome ◽

Rrna Gene ◽

Oral Microbiota ◽

Disease Manifestation ◽

Periodontal Status ◽

Quality Register

Rheumatoid arthritis (RA) is the most common autoimmune inflammatory disease, and single periodontitis-associated bacteria have been suggested in disease manifestation. Here, the oral microbiota was characterized in relation to the early onset of RA (eRA) taking periodontal status into consideration. 16S rRNA gene amplicon sequencing of saliva bacterial DNA from 61 eRA patients without disease-modifying anti-rheumatic drugs and 59 matched controls was performed. Taxonomic classification at 98.5% was conducted against the Human Oral Microbiome Database, microbiota functions were predicted using PICRUSt, and periodontal status linked from the Swedish quality register for clinically assessed caries and periodontitis. The participants were classified into three distinct microbiota-based cluster groups with cluster allocation differences by eRA status. Independently of periodontal status, eRA patients had enriched levels of Prevotella pleuritidis, Treponema denticola, Porphyromonas endodontalis and Filifactor alocis species and in the Porphyromonas and Fusobacterium genera and functions linked to ornithine metabolism, glucosylceramidase, beta-lactamase resistance, biphenyl degradation, fatty acid metabolism and 17-beta-estradiol-17-dehydrogenase metabolism. The results support a deviating oral microbiota composition already in eRA patients compared with healthy controls and highlight a panel of oral bacteria that may be useful in eRA risk assessment in both periodontally healthy and diseased persons.

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Analysis of the Effects of Dietary Pattern on the Oral Microbiome of Elite Endurance Athletes

Nutrients ◽

10.3390/nu11030614 ◽

2019 ◽

Vol 11 (3) ◽

pp. 614 ◽

Cited By ~ 17

Author(s):

Nida Murtaza ◽

Louise Burke ◽

Nicole Vlahovich ◽

Bronwen Charlesson ◽

Hayley O’Neill ◽

...

Keyword(s):

Discriminant Analysis ◽

Relative Abundance ◽

Distance Measure ◽

Oral Microbiome ◽

Rrna Gene ◽

Oral Microbiota ◽

Unifrac Distance ◽

Linear Discriminant ◽

Principal Coordinates ◽

Low Carbohydrate

Although the oral microbiota is known to play a crucial role in human health, there are few studies of diet x oral microbiota interactions, and none in elite athletes who may manipulate their intakes of macronutrients to achieve different metabolic adaptations in pursuit of optimal endurance performance. The aim of this study was to investigate the shifts in the oral microbiome of elite male endurance race walkers from Europe, Asia, the Americas and Australia, in response to one of three dietary patterns often used by athletes during a period of intensified training: a High Carbohydrate (HCHO; n = 9; with 60% energy intake from carbohydrates; ~8.5 g kg−1 day−1 carbohydrate, ~2.1 g kg−1 day−1 protein, 1.2 g kg−1 day−1 fat) diet, a Periodised Carbohydrate (PCHO; n = 10; same macronutrient composition as HCHO, but the intake of carbohydrates is different across the day and throughout the week to support training sessions with high or low carbohydrate availability) diet or a ketogenic Low Carbohydrate High Fat (LCHF; n = 10; 0.5 g kg−1 day−1 carbohydrate; 78% energy as fat; 2.1 g kg−1 day−1 protein) diet. Saliva samples were collected both before (Baseline; BL) and after the three-week period (Post treatment; PT) and the oral microbiota profiles for each athlete were produced by 16S rRNA gene amplicon sequencing. Principal coordinates analysis of the oral microbiota profiles based on the weighted UniFrac distance measure did not reveal any specific clustering with respect to diet or athlete ethnic origin, either at baseline (BL) or following the diet-training period. However, discriminant analyses of the oral microbiota profiles by Linear Discriminant Analysis (LDA) Effect Size (LEfSe) and sparse Partial Least Squares Discriminant Analysis (sPLS-DA) did reveal changes in the relative abundance of specific bacterial taxa, and, particularly, when comparing the microbiota profiles following consumption of the carbohydrate-based diets with the LCHF diet. These analyses showed that following consumption of the LCHF diet the relative abundances of Haemophilus, Neisseria and Prevotella spp. were decreased, and the relative abundance of Streptococcus spp. was increased. Such findings suggest that diet, and, in particular, the LCHF diet can induce changes in the oral microbiota of elite endurance walkers.

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Oral Microbiota Development in Early Childhood

Scientific Reports ◽

10.1038/s41598-019-54702-0 ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 7

Author(s):

Beatrice Kennedy ◽

Sari Peura ◽

Ulf Hammar ◽

Silvia Vicenzi ◽

Anna Hedman ◽

...

Keyword(s):

Early Childhood ◽

Relative Abundance ◽

Early Life ◽

Alpha Diversity ◽

Antibiotic Use ◽

Population Based ◽

Oral Microbiome ◽

Rrna Gene ◽

Oral Microbiota ◽

Microbiota Composition

AbstractEarly life determinants of the oral microbiota have not been thoroughly elucidated. We studied the association of birth and early childhood characteristics with oral microbiota composition using 16 S ribosomal RNA (rRNA) gene sequencing in a population-based Swedish cohort of 59 children sampled at 6, 12 and 24 months of age. Repeated-measurement regression models adjusted for potential confounders confirmed and expanded previous knowledge about the profound shift of oral microbiota composition in early life. These alterations included increased alpha diversity, decreased beta diversity and alteration of bacterial composition with changes in relative abundance of 14 of the 20 most common operational taxonomic units (OTUs). We also found that birth characteristics, breastfeeding and antibiotic use were associated with overall phyla distribution and/or with the relative abundance of specific OTUs. Further, we detected a novel link between morning salivary cortisol level, a physiological marker of neuroendocrine activity and stress, and overall phyla distribution as well as with decreased abundance of the most common OTU mapped to the Streptococcaceae family. In conclusion, a major part of the maturation of the oral microbiome occurs during the first two years of life, and this development may be influenced by early life circumstances.

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Composition and diversity of the subgingival microbiome and its relationship with age in postmenopausal women: an epidemiologic investigation

BMC Oral Health ◽

10.1186/s12903-019-0906-2 ◽

2019 ◽

Vol 19 (1) ◽

Cited By ~ 4

Author(s):

Michael J. LaMonte ◽

Robert J. Genco ◽

Michael J. Buck ◽

Daniel I. McSkimming ◽

Lu Li ◽

...

Keyword(s):

Postmenopausal Women ◽

Relative Abundance ◽

Multiple Testing ◽

Statistical Significance ◽

Bacterial Species ◽

Age Groups ◽

Later Life ◽

Oral Microbiome ◽

Rrna Gene ◽

Age Range

Abstract Background The extent to which the composition and diversity of the oral microbiome varies with age is not clearly understood. Methods The 16S rRNA gene of subgingival plaque in 1219 women, aged 53–81 years, was sequenced and its taxonomy annotated against the Human Oral Microbiome Database (v.14.5). Composition of the subgingival microbiome was described in terms of centered log(2)-ratio (CLR) transformed OTU values, relative abundance, and prevalence. Correlations between microbiota abundance and age were evelauted using Pearson Product Moment correlations. P-values were corrected for multiple testing using the Bonferroni method. Results Of the 267 species identified overall, Veillonella dispar was the most abundant bacteria when described by CLR OTU (mean 8.3) or relative abundance (mean 8.9%); whereas Streptococcus oralis, Veillonella dispar and Veillonella parvula were most prevalent (100%, all) when described as being present at any amount. Linear correlations between age and several CLR OTUs (Pearson r = − 0.18 to 0.18), of which 82 (31%) achieved statistical significance (P < 0.05). The correlations lost significance following Bonferroni correction. Twelve species that differed across age groups (each corrected P < 0.05); 5 (42%) were higher in women ages 50–59 compared to ≥70 (corrected P < 0.05), and 7 (48%) were higher in women 70 years and older. Conclusions We identified associations between several bacterial species and age across the age range of postmenopausal women studied. Understanding the functions of these bacteria could identify intervention targets to enhance oral health in later life.

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Dynamic Alterations of Oral Microbiota Related to Halitosis in Preschool Children

Frontiers in Cellular and Infection Microbiology ◽

10.3389/fcimb.2021.599467 ◽

2021 ◽

Vol 11 ◽

Author(s):

Yu Zhang ◽

Ce Zhu ◽

Guizhi Cao ◽

Jingyu Zhan ◽

Xiping Feng ◽

...

Keyword(s):

Preschool Children ◽

Prediction Model ◽

Relative Abundance ◽

Clinical Manifestations ◽

Oral Microbiome ◽

Control Group ◽

Rrna Gene ◽

Oral Microbiota ◽

Tongue Coating

ObjectiveThis longitudinal study was aimed to evaluate the dynamic shift in oral microbiota during the process of halitosis progression among preschool children.MethodsThe oral examinations, questionnaires and tongue coating specimens were collected at the baseline and 12-month follow-up. All children were oral healthy at the enrollment. At the 12-month follow-up, children who developed halitosis were included to the halitosis group (n = 10). While children who matched the age, gender, kindergarten and without halitosis were included to the control group (n = 10). 16S rRNA gene sequencing was used to reveal the shift of the tongue coating microbiome in these children during the 12- month period with the Human Oral Microbiome Database.ResultsA remarkable shift in relative abundance of specific bacteria was observed prior to halitosis development. The principal coordinates and alpha diversity analyses revealed different shifting patterns of halitosis and the healthy participants’ microbiome structures and bacterial diversity over the 12-month follow-up. Both groups showed variable microbiota community structures before the onset of halitosis. Halitosis-enriched species Prevotella melaninogenica, Actinomyces sp._HMT_180 and Saccharibacteria TM7_G-1_bacterium_HMT_352 were finally selected as biomarkers in the halitosis-onset prediction model after screening, with a prediction accuracy of 91.7%.ConclusionsThe microbiome composition and relative abundance of the tongue coatings in the halitosis and control groups remarkably differed, even prior to the onset of the clinical manifestations of halitosis. The halitosis prediction model constructed on the basis of tongue coating microbiome biomarkers indicated the microbial shifts before the halitosis onset. Therefore, this can be considered for the timely detection and intervention of halitosis in children.

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Investigation of Oral Microbiome in Donkeys and the Effect of Dental Care on Oral Microbial Composition

Animals ◽

10.3390/ani10122245 ◽

2020 ◽

Vol 10 (12) ◽

pp. 2245

Author(s):

Yiping Zhu ◽

Wuyan Jiang ◽

Reed Holyoak ◽

Bo Liu ◽

Jing Li

Keyword(s):

Dental Treatment ◽

16S Rrna Gene Sequencing ◽

Oral Microbiome ◽

Rrna Gene ◽

Microbial Composition ◽

Dental Procedures ◽

Significant Difference ◽

Dental Diseases ◽

Rrna Gene Sequencing ◽

The Impact

The objective of this study was to investigate the oral microbial composition of the donkey and whether basic dental treatment, such as dental floating, would make a difference to the oral microbial environment in donkeys with dental diseases using high-throughput bacterial 16S rRNA gene sequencing. Oral swab samples were collected from 14 donkeys with various dental abnormalities on day 0 (before treatment) and day 20 (twenty days after treatment). It is the first report focusing on the oral microbiome in donkeys with dental diseases and the impact of common dental procedures thereon. Identified in group Day 0 and group Day 20, respectively, were 60,439.6 and 58,579.1 operational taxonomic units (OTUs). Several taxa in Day 0 differed significantly from Day 20 at the phylum and genus levels, but no statistically significant difference was observed in richness and diversity of Day 0 and Day 20. The results also indicated that a larger-scale study focusing on healthy donkey oral microbiome, as well as the correlation of dental diseases and oral microbiomes at different time frames following more specific and consistent dental treatment, are warranted.

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Cigarette smoking and oral microbiota in low-income and African-American populations

Journal of Epidemiology & Community Health ◽

10.1136/jech-2019-212474 ◽

2019 ◽

Vol 73 (12) ◽

pp. 1108-1115 ◽

Cited By ~ 4

Author(s):

Yaohua Yang ◽

Wei Zheng ◽

Qiu-Yin Cai ◽

Martha J Shrubsole ◽

Zhiheng Pei ◽

...

Keyword(s):

African American ◽

Cigarette Smoking ◽

Relative Abundance ◽

Low Income ◽

Large Population ◽

Oral Microbiota ◽

Microbial Composition ◽

Former Smokers ◽

Never Smokers ◽

The Impact

BackgroundCigarette smoking is a common risk factor for diseases and cancers. Oral microbiota is also associated with diseases and cancers. However, little is known about the impact of cigarette smoking on the oral microbiota, especially among ethnic minority populations.MethodsWe investigated cigarette smoking in relationship with the oral microbiota in a large population of predominately low-income and African-American participants. Mouth rinse samples were collected from 1616 participants within the Southern Community Cohort Study, including 592 current-smokers, 477 former-smokers and 547 never-smokers. Oral microbiota was profiled by 16S ribosomal RNA gene deep sequencing.ResultsCurrent-smokers showed a different overall microbial composition from former-smokers (p=6.62×10−7) and never-smokers (p=6.00×10−8). The two probiotic genera, Bifidobacterium and Lactobacillus, were enriched among current-smokers when compared with never-smokers, with Bonferroni-corrected p values (PBonferroni) of 1.28×10−4 and 5.89×10−7, respectively. The phylum Actinobacteria was also enriched in current-smokers when compared with never-smokers, with a median relative abundance of 12.35% versus 9.36%, respectively, and with a PBonferroni=9.11×10−11. In contrast, the phylum Proteobacteria was depleted in current smokers (PBonferroni=5.57×10−13), with the relative abundance being almost three times that of never-smokers (7.22%) when compared with that of current-smokers (2.47%). Multiple taxa within these two phyla showed differences in abundance/prevalence between current-smokers and never-smokers at PBonferroni <0.05. The differences in the overall microbial composition and abundance/prevalence of most taxa were observed among both African-Americans and European-Americans. Meanwhile, such differences were not observed between former-smokers and never-smokers.ConclusionSmoking has strong impacts on oral microbial community, which was recovered after smoking cessation.

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Variations of Oral Microbiome in Chronic Insomnia Patients with Different Tongue Features

The American Journal of Chinese Medicine ◽

10.1142/s0192415x20500445 ◽

2020 ◽

Vol 48 (04) ◽

pp. 923-944 ◽

Cited By ~ 2

Author(s):

Meng Liu ◽

Xiting Wang ◽

Fengzhi Wu ◽

Ning Dai ◽

Mindan Chen ◽

...

Keyword(s):

Relative Abundance ◽

16S Rrna Gene Sequencing ◽

Oral Bacteria ◽

Oral Microbiome ◽

Chronic Insomnia ◽

Rrna Gene ◽

Oral Microbiota ◽

Healthy Individuals ◽

Tongue Diagnosis ◽

Therapeutic Decision Making

Chronic insomnia is a disease which brings intense mental pain and disturbing complications to patients worldwide. The oral microbiome exhibits a mechanistic influence on human health. Therefore, it is crucial to understand the oral microbial diversity in insomnia. Tongue diagnosis has been considered a critical basic procedure in insomnia therapeutic decision-making in Traditional Chinese Medicine (TCM). Hence, it is significant to elucidate the various oral microbiome differences in chronic insomnia patients with different tongue features. In this paper, we used 16S rRNA gene sequencing and bioinformatics analysis to investigate dynamic changes in oral bacterial profile and correlations between chronic insomnia patients and healthy individuals, as well as in patients with different tongue coatings. Moreover, the relationship between the severity of insomnia and oral microbiota was explored. Our findings showed that chronic insomnia patients harbored a significantly higher diversity of oral bacteria when compared to healthy controls. More importantly, the results revealed that the diversity and relative abundance of the bacterial community was significantly altered among different tongue coatings in patients but not in healthy individuals. Oral bacteria with a relative abundance [Formula: see text]1% and [Formula: see text] among different tongue groups were considered remarkable bacteria, which included three phyla Proteobacteria, Bacteroidetes, Gracilibacteria, and four genera, Streptococcus, Prevotella_7, Rothia, and Neisseria. Our findings indicate that changes in oral microbiome correlate with tongue coatings in patients with chronic insomnia. Thus, the remarkable microbiome may provide inspiration for further studies on the correlation between tongue diagnosis and oral microbiome in chronic insomnia patients.

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Oral Microbiota Composition and Function Changes During Chronic Erythematous Candidiasis

Frontiers in Cellular and Infection Microbiology ◽

10.3389/fcimb.2021.691092 ◽

2021 ◽

Vol 11 ◽

Author(s):

Xin Lyu ◽

Hui Zheng ◽

Xu Wang ◽

Heyu Zhang ◽

Lu Gao ◽

...

Keyword(s):

Healthy Subjects ◽

Bacterial Species ◽

Oral Bacteria ◽

Oral Microbiome ◽

Marker Genes ◽

Oral Microbiota ◽

Metagenomic Sequencing ◽

Cytochrome Bc1 Complex ◽

Microbial Composition ◽

Treatment And Prevention

Oral microbiota is constantly changing with the host state, whereas the oral microbiome of chronic erythematous candidiasis remains poorly understood. The aim of this study was to compare oral microbial signatures and functional profiling between chronic erythematous candidiasis and healthy subjects. Using shotgun metagenomic sequencing, we analyzed the microbiome in 12 chronic erythematous candidiasis, 12 healthy subjects, and 2 chronic erythematous candidiasis cured by antifungal therapy. We found that the salivary microbiota of chronic erythematous candidiasis was significantly different from that of healthy subjects. Among them, Rothia mucilaginosa and Streptococcus mitis were the most abundant disease-enriched species (Mann-Whitney U-test, P < 0.05). In addition, co-occurrence network analysis showed that C. albicans formed densely connected modules with oral bacterial species and was mainly positive connected to Streptococcus species. Furthermore, we investigated the functional potentials of the microbiome and identified a set of microbial marker genes associated with chronic erythematous candidiasis. Some of these genes enriching in chronic erythematous candidiasis are involved in eukaryotic ribosome, putative glutamine transport system, and cytochrome bc1 complex respiratory unit. Altogether, this study revealed the changes of oral microbial composition, the co-occurrence between C. albicans and oral bacteria, as well as the changes of microbial marker genes during chronic erythematous candidiasis, which provides evidence of oral microbiome as a target for the treatment and prevention of chronic erythematous candidiasis.

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