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

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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Substantial Differences in the Subgingival Microbiome Measured by 16S Metagenomics According to Periodontitis Status in Older Women

Dentistry Journal ◽

10.3390/dj6040058 ◽

2018 ◽

Vol 6 (4) ◽

pp. 58 ◽

Cited By ~ 5

Author(s):

Michael LaMonte ◽

Robert Genco ◽

Wei Zheng ◽

Daniel McSkimming ◽

Christopher Andrews ◽

...

Keyword(s):

Postmenopausal Women ◽

Krebs Cycle ◽

Later Life ◽

Oral Microbiome ◽

Host Susceptibility ◽

Rrna Gene ◽

Periodontal Pathogens ◽

Microbial Life ◽

Severe Periodontitis ◽

V3 Region

Aging invokes physiological changes, such as immunosenescence and inflammation, that could increase host susceptibility to oral microbiome shifts that enable periodontitis progression in later life. At present, there is a dearth of studies specifically evaluating the oral microbiome and periodontitis in older adults. We used high-throughput untargeted sequencing methods and functional metagenomic analyses to assess and compare the subgingival biofilm of postmenopausal women (mean age 71 years) according to periodontitis status. Subgingival plaque samples were obtained from 15 postmenopausal women with no periodontitis, and from 15 women with severe periodontitis, determined by probing measures. The 16S rRNA gene (V1–V3 region) was sequenced on the 454 FLX platform. The PICRUSt technique was used to provide information on what the potential functional characteristics of microbiota might be in healthy, compared with diseased, periodontium. The subgingival microbiome associated with periodontitis showed clear differences to that associated with health. Of the 464 species identified, 22.8% had elevated abundance in disease, while only 6.3% had elevated abundance in health. Among the 12 most prevalent organisms in periodontitis, one-half have previously been recognized as periodontal pathogens by other investigators. The subgingival microbiome in periodontitis contained genes that could code for specific activities, including microbial mobility, synthesis of endotoxin, and proteolytic degradation. The healthy microbiome included genes that could code for sustaining microbial life, including encoding for transporters, glycolysis, gluconeogenesis, the Krebs cycle, and protein kinases. In the present study on postmenopausal women, aged 60 and older, the subgingival microbiome differed in composition and potential function between those with and without periodontitis. Studies of functional gene expression, such as transcriptomics, are needed to definitively identify the molecules carrying out functions associated with pathogenic subgingival complexes. This, in turn, could lead to identification of targets for enhanced management of periodontitis and, possibly, other diseases, in later life.

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

Current Issues in Molecular Biology ◽

10.3390/cimb43030103 ◽

2021 ◽

Vol 43 (3) ◽

pp. 1460-1472

Author(s):

Vivianne Cruz de Jesus ◽

Manu Singh ◽

Robert J. Schroth ◽

Prashen Chelikani ◽

Carol A. Hitchon

Keyword(s):

Rheumatoid Arthritis ◽

Relative Abundance ◽

Bitter Taste ◽

Bacterial Species ◽

Taste Receptor ◽

Oral Microbiome ◽

Rrna Gene ◽

Oral Microbiota ◽

Microbial Composition ◽

The Impact

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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ELECTROCARDIOGRAPHIC PATTERNS OF NORMAL CHILDREN FROM BIRTH TO FIVE YEARS OF AGE

PEDIATRICS ◽

10.1542/peds.8.3.349 ◽

1951 ◽

Vol 8 (3) ◽

pp. 349-361

Author(s):

GERARD GROS ◽

ARMOND GORDON ◽

ROBERT MILLER

Keyword(s):

Left Ventricle ◽

Transition Zone ◽

Age Groups ◽

Later Life ◽

Distinct Pattern ◽

Age Group ◽

S Wave ◽

Normal Children ◽

Age Range ◽

Q Wave

The ECGs of 104 normal children from a few hours old to 5 years of age were studied. These ECGs consisted of the standard limb leads, the aV limb leads and six precordial leads: V4R, V1, V2, V4, V5 and V6. While the number of cases in each group are small, the following conclusions are suggested by this study: 1. ECGs of the newborn infant present important variations from those seen in later life. This is especially true during the first week of life. Thereafter the contour evolves [SEE FIG. 2 IN SOURCE PDF] in a definite manner until the adult-like pattern is reached. 2. The vertical and semivertical "electric" positions were the most frequently encountered in this age group. 3. P-waves present a rather permanent pattern in this age range: a. is usually upright in lead 1 and 2, aVF, V4, V5 and V6. b. is usually inverted in lead 2 and aVR. c. is either upright, inverted or diphasic in lead 3, aVL, V4R, V1 and V2. 4. The P-R interval varies from 0.10 sec. minimum to 0.16 sec. maximum with the average being 0.12 sec. in this age range. It tends to become greater in the older age groups. 5. QRS duration is shorter in the younger age groups and increases slowly with age. 6. Polyphasic, M-shaped or slurred QRS complexes are not uncommon in the ECGs of normal children in this age range. 7. A Q wave is frequently absent in lead 1 and in all chest leads during the first week of life. Thereafter up to 5 years of age the pattern of the Q wave is as follows: a. Q is generally absent in lead 1, V4R, V1, V2 and V4. b. Q is generally present in lead 3, V4R, aVF, V5 and V6. 8. There is a distinct pattern of right ventricular dominance in leads from the sternum and to its right at birth. This pattern gradually undergoes involution, probably related to normal physiologic development, until the left ventricle becomes dominant. Thus the evolution of the S-wave parallels a gradual involution of the R-wave in right precordial leads and probably also in aVR. This dominance of the left ventricle over the entire precordium is usual by about 3 years, but may be delayed normally until 5 years of age. 9. The T-wave is upright or diphasic in V4R, V1, and V2 and inverted in V5 and V6 for the first 24 hours of life; it gradually alters so that by the fourth day it is inverted in V4R, V1 and V2 and upright in V5 and V6 and thereafter. 10. The transition zone of QRS varies from one age group to another and tends in some ages to be broad. In some instances no real transition zone can be determined.

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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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Tooth extraction: Pattern and etiology from extreme Northwestern Nigeria

European Journal of Dentistry ◽

10.4103/ejd.ejd_160_17 ◽

2017 ◽

Vol 11 (03) ◽

pp. 335-339 ◽

Cited By ~ 6

Author(s):

Abdurrazaq Olanrewaju Taiwo ◽

Adebayo Aremu Ibikunle ◽

Ramat Oyebunmi Braimah ◽

Omotayo Amidu Sulaiman ◽

Olalekan Micah Gbotolorun

Keyword(s):

Periodontal Disease ◽

Tooth Extraction ◽

Statistical Significance ◽

Age Groups ◽

Urban Region ◽

Geographical Regions ◽

Extraction Pattern ◽

The Difference ◽

And Gender ◽

Age Range

ABSTRACT Objective: Tooth extraction is a commonly performed procedure in dental clinics. It has been shown that the reasons for and pattern of tooth extraction vary across geographical regions. Few reports on the pattern of extraction among a semi-urban populace exist. To the best of our knowledge, there is no study on the pattern and reasons for tooth mortality from Sokoto, Northwestern Nigeria, which is a semi-urban region. Materials and Methods: A review of the records of patients that had tooth extraction at our center between January 2009 and January 2016, was done. Data such as the age, gender, type of tooth extracted, and reasons for extraction were retrieved and analyzed. Cross tabulations for age and gender were also made. The level of statistical significance was set at P < 0.05. Results: A total of 1167 extractions were performed in 984 patients. An age range of 18–107 years with a mean (±standard deviation) of 34.8 (13.3) was observed. Most of the patients were in the 21–30 years age group accounting for 35.7% of cases. Dental caries and its sequelae (DCS) (631, 54.1%) were the most common reasons for extraction, followed by periodontal disease (192, 16.5%). The difference in proportions of reasons for tooth extraction between the gender was statistically significant (P = 0.02; df = 24). The difference in the reasons for extraction among the age groups was statistically significant (P < 0.001; df = 132). Conclusion: DCS along with periodontal disease were the major reasons for extractions. These are largely preventable causes of tooth extraction; therefore, there is a need for commencement of far-reaching preventative actions.

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Alterations of the Oral Microbiome and Cumulative Carbapenem Exposure Are Associated With Stenotrophomonas maltophilia Infection in Patients With Acute Myeloid Leukemia Receiving Chemotherapy

Clinical Infectious Diseases ◽

10.1093/cid/ciaa778 ◽

2020 ◽

Cited By ~ 2

Author(s):

Samuel L Aitken ◽

Pranoti V Sahasrabhojane ◽

Dimitrios P Kontoyiannis ◽

Tor C Savidge ◽

Cesar A Arias ◽

...

Keyword(s):

Acute Myeloid Leukemia ◽

Relative Abundance ◽

Myeloid Leukemia ◽

Stenotrophomonas Maltophilia ◽

Proportional Hazards Model ◽

Cox Proportional Hazards Model ◽

Oral Microbiome ◽

Remission Induction ◽

Rrna Gene ◽

Acute Myeloid

Abstract Background Stenotrophomonas maltophilia is increasingly common in patients with acute myeloid leukemia (AML). Little is known about factors that drive S. maltophilia infection. We evaluated the microbiome and cumulative antibiotic use as predictors of S. maltophilia infection in AML patients receiving remission induction chemotherapy (RIC). Methods Subanalysis of a prospective, observational cohort of patients with AML receiving RIC between September 2013 and August 2015 was performed. Fecal and oral microbiome samples collected from initiation of RIC until neutrophil recovery were assessed for the relative abundance of Stenotrophomonas via 16S rRNA gene quantitation. The primary outcome, microbiologically proven S. maltophilia infection, was analyzed using a time-varying Cox proportional hazards model. Results Of 90 included patients, 8 (9%) developed S. maltophilia infection (pneumonia, n = 6; skin–soft tissue, n = 2); 4/8 (50%) patients were bacteremic; and 7/8 (88%) patients with S. maltophilia infection had detectable levels of Stenotrophomonas vs 22/82 (27%) without infection (P < .01). An oral Stenotrophomonas relative abundance of 36% predicted infection (sensitivity, 96%; specificity, 93%). No association of S. maltophilia infection with fecal relative abundance was found. Cumulative meropenem exposure was associated with increased infection risk (hazard ratio, 1.17; 95% confidence interval, 1.01–1.35; P = .03). Conclusions Here, we identify the oral microbiome as a potential source for S. maltophilia infection and highlight cumulative carbapenem use as a risk factor for S. maltophilia in leukemia patients. These data suggest that real-time monitoring of the oral cavity might identify patients at risk for S. maltophilia infection.

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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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Pressure ulcers microbiota dynamics and wound evolution

Scientific Reports ◽

10.1038/s41598-021-98073-x ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Catherine Dunyach-Remy ◽

Florian Salipante ◽

Jean-Philippe Lavigne ◽

Maxime Brunaud ◽

Christophe Demattei ◽

...

Keyword(s):

Spinal Cord ◽

Relative Abundance ◽

Pressure Ulcers ◽

Bacterial Species ◽

Rrna Gene ◽

Sequencing Analysis ◽

Neurological Rehabilitation ◽

Rehabilitation Centre ◽

Promising Target ◽

Cord Injury

AbstractBacterial species and their role in delaying the healing of pressure ulcers (PU) in spinal cord injury (SCI) patients have not been well described. This pilot study aimed to characterise the evolution of the cutaneous microbiota of PU in SCI cohort. Twenty-four patients with SCI from a French neurological rehabilitation centre were prospectively included. PU tissue biopsies were performed at baseline (D0) and 28 days (D28) and analysed using 16S rRNA gene-based sequencing analysis of the V3–V4 region. At D0, if the overall relative abundance of genus highlighted a large proportion of Staphylococcus, Anaerococcus and Finegoldia had a significantly higher relative abundance in wounds that stagnated or worsened in comparison with those improved at D28 (3.74% vs 0.05%; p = 0.015 and 11.02% versus 0.16%; p = 0.023, respectively). At D28, Proteus and Morganella genera were only present in stagnated or worsened wounds with respectively 0.02% (p = 0.003) and 0.01% (p = 0.02). Moreover, Proteus, Morganella, Anaerococcus and Peptoniphilus were associated within the same cluster, co-isolated from biopsies that had a poor evolution. This pathogroup could be a marker of wound degradation and Proteus could represent a promising target in PU management.

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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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Casein Phosphopeptide-Amorphous Calcium Phosphate Attenuates Virulence and Modulates Microbial Ecology of Saliva-Derived Polymicrobial Biofilms

Caries Research ◽

10.1159/000499869 ◽

2019 ◽

Vol 53 (6) ◽

pp. 643-649 ◽

Cited By ~ 2

Author(s):

Nebu Philip ◽

Shaneen J. Leishman ◽

H.M.H.N. Bandara ◽

Laurence J. Walsh

Keyword(s):

Calcium Phosphate ◽

Relative Abundance ◽

Amorphous Calcium Phosphate ◽

Bacterial Species ◽

Fold Change ◽

Ecological Effects ◽

Oral Microbiome ◽

Ecological Change ◽

Casein Phosphopeptide

Background: Casein phosphopeptide-amorphous calcium phosphate (CPP-ACP) acts as a salivary biomimetic that provides bioavailable calcium and phosphate ions to augment fluoride-mediated remineralisation of early caries lesions. However, there are indications that it may also have beneficial ecological effects on the oral microbiome. Objective: This in vitro study investigated whether CPP-ACP could influence microbial counts, acidogenicity, and the relative abundance of specific caries- and health-associated bacterial species in polymicrobial biofilms. Methods: Saliva-derived polymicrobial biofilms were grown for 96 h in a cariogenic environment and treated every 12 h with 2% CPP-ACP or vehicle control. Colony forming units (CFUs) and acidogenicity were estimated from the treated biofilms. Microbial ecological effects of CPP-ACP were assessed based on the relative abundance of 14 specific caries- and health-associated bacterial species using a real-time quantitative PCR assay. Results: CPP-ACP-treated biofilms showed relatively modest, but significant, reductions in microbial CFUs (21% reduction, p = 0.008) and acidogenicity (33% reduction, p < 0.001), compared to the control-treated biofilms. The CPP-ACP treated biofilms also exhibited significantly lower bacterial loads of cariogenic Scardovia wiggsiae (fold change 0.017, p < 0.001) and Prevotella denticola(fold change 0.005, p < 0.001), and higher bacterial loads of commensal Streptococcus sanguinis(fold change 30.22, p < 0.001), S. mitis/oralis(fold change 9.66, p = 0.012), and S. salivarius/thermophilus(fold change 89.35, p < 0.001) than the control-treated biofilms. Conclusions: The results indicate that CPP-ACP has virulence-attenuating attributes that can influence a beneficial microbial ecological change in the biofilm.

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