scholarly journals Modulation of Saliva Microbiota through Prebiotic Intervention in HIV-Infected Individuals

Nutrients ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1346 ◽  
Author(s):  
Nuria Jiménez-Hernández ◽  
Sergio Serrano-Villar ◽  
Alba Domingo ◽  
Xavier Pons ◽  
Alejandro Artacho ◽  
...  
Keyword(s):  
Hiv Infection ◽  
Alpha Diversity ◽  
Rrna Gene ◽  
Oral Microbiota ◽  
Microbiota Composition ◽  
Hiv Status ◽  
T Helper ◽  
Immunodeficiency Virus ◽  
Salivary Microbiota ◽  
Rrna Gene Sequencing

Human immunodeficiency virus (HIV) infection is characterized by an early depletion of the mucosal associated T helper (CD4+) cells that impair the host immunity and impact the oral and gut microbiomes. Although, the HIV-associated gut microbiota was studied in depth, few works addressed the dysbiosis of oral microbiota in HIV infection and, to our knowledge, no studies on intervention with prebiotics were performed. We studied the effect of a six-week-long prebiotic administration on the salivary microbiota in HIV patients and healthy subjects. Also, the co-occurrence of saliva microorganisms in the fecal bacteria community was explored. We assessed salivary and feces microbiota composition using deep 16S ribosomal RNA (rRNA) gene sequencing with Illumina methodology. At baseline, the different groups shared the same most abundant genera, but the HIV status had an impact on the saliva microbiota composition and diversity parameters. After the intervention with prebiotics, we found a drastic decrease in alpha diversity parameters, as well as a change of beta diversity, without a clear directionality toward a healthy microbiota. Interestingly, we found a differential response to the prebiotics, depending on the initial microbiota. On the basis of 100% identity clustering, we detected saliva sequences in the feces datasets, suggesting a drag of microorganisms from the upper to the lower gastrointestinal tract.

scholarly journals Oral Microbiota Development in Early Childhood

2019 ◽  
Vol 9 (1) ◽  
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.

scholarly journals Association Between Oral Microbiota and Cigarette Smoking in the Chinese Population

2021 ◽  
Vol 11 ◽  
Author(s):  
Yi-Jing Jia ◽  
Ying Liao ◽  
Yong-Qiao He ◽  
Mei-Qi Zheng ◽  
Xia-Ting Tong ◽  
...  
Keyword(s):  
Cigarette Smoking ◽  
Chinese Population ◽  
Sugar Metabolism ◽  
Alpha Diversity ◽  
16S Rrna Gene Sequencing ◽  
Amino Sugar ◽  
Rrna Gene ◽  
Oral Microbiota ◽  
Haemophilus Parainfluenzae ◽  
Rrna Gene Sequencing

The oral microbiota has been observed to be influenced by cigarette smoking and linked to several human diseases. However, research on the effect of cigarette smoking on the oral microbiota has not been systematically conducted in the Chinese population. We profiled the oral microbiota of 316 healthy subjects in the Chinese population by 16S rRNA gene sequencing. The alpha diversity of oral microbiota was different between never smokers and smokers (P = 0.002). Several bacterial taxa were first reported to be associated with cigarette smoking by LEfSe analysis, including Moryella (q = 1.56E-04), Bulleidia (q = 1.65E-06), and Moraxella (q = 3.52E-02) at the genus level and Rothia dentocariosa (q = 1.55E-02), Prevotella melaninogenica (q = 8.48E-08), Prevotella pallens (q = 4.13E-03), Bulleidia moorei (q = 1.79E-06), Rothia aeria (q = 3.83E-06), Actinobacillus parahaemolyticus (q = 2.28E-04), and Haemophilus parainfluenzae (q = 4.82E-02) at the species level. Two nitrite-producing bacteria that can increase the acidity of the oral cavity, Actinomyces and Veillonella, were also enriched in smokers with FDR-adjusted q-values of 3.62E-06 and 1.10E-06, respectively. Notably, we observed that two acid production-related pathways, amino acid-related enzymes (q = 6.19E-05) and amino sugar and nucleotide sugar metabolism (q = 2.63E-06), were increased in smokers by PICRUSt analysis. Finally, the co-occurrence analysis demonstrated that smoker-enriched bacteria were significantly positively associated with each other and were negatively correlated with the bacteria decreased in smokers. Our results suggested that cigarette smoking may affect oral health by creating a different environment by altering bacterial abundance, connections among oral microbiota, and the microbiota and their metabolic function.

Oral Microbiota Composition Predicts Early Childhood Caries Onset

2020 ◽  
pp. 002203452097992
Author(s):  
A. Grier ◽  
J.A. Myers ◽  
T.G. O’Connor ◽  
R.G. Quivey ◽  
S.R. Gill ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Early Childhood ◽  
Early Childhood Caries ◽  
Gene Sequencing ◽  
Rrna Gene ◽  
Oral Microbiota ◽  
Microbiota Composition ◽  
Caries Risk ◽  
Rrna Gene Sequencing ◽  
Childhood Caries

As the most common chronic disease in preschool children in the United States, early childhood caries (ECC) has a profound impact on a child’s quality of life, represents a tremendous human and economic burden to society, and disproportionately affects those living in poverty. Caries risk assessment (CRA) is a critical component of ECC management, yet the accuracy, consistency, reproducibility, and longitudinal validation of the available risk assessment techniques are lacking. Molecular and microbial biomarkers represent a potential source for accurate and reliable dental caries risk and onset. Next-generation nucleotide-sequencing technology has made it feasible to profile the composition of the oral microbiota. In the present study, 16S ribosomal RNA (rRNA) gene sequencing was applied to saliva samples that were collected at 6-mo intervals for 24 mo from a subset of 56 initially caries-free children from an ongoing cohort of 189 children, aged 1 to 3 y, over the 2-y study period; 36 children developed ECC and 20 remained caries free. Analyses from machine learning models of microbiota composition, across the study period, distinguished between affected and nonaffected groups at the time of their initial study visits with an area under the receiver operating characteristic curve (AUC) of 0.71 and discriminated ECC-converted from healthy controls at the visit immediately preceding ECC diagnosis with an AUC of 0.89, as assessed by nested cross-validation. Rothia mucilaginosa, Streptococcus sp., and Veillonella parvula were selected as important discriminatory features in all models and represent biomarkers of risk for ECC onset. These findings indicate that oral microbiota as profiled by high-throughput 16S rRNA gene sequencing is predictive of ECC onset.

scholarly journals AB1232 ORAL DYSBIOSIS REFLECTS THE IMMUNOLOGICAL ALTERATION OF RA REGARDING TO ACPA AND HLA DRB1*SE: NAGASAKI ISLAND STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1907.2-1907
Author(s):  
Y. Tsuji ◽  
M. Tamai ◽  
S. Morimoto ◽  
D. Sasaki ◽  
M. Nagayoshi ◽  
...  
Keyword(s):  
Beta Diversity ◽  
Healthy Subjects ◽  
Microbial Community Composition ◽  
Alpha Diversity ◽  
Enzyme Linked Immunosorbent Assay ◽  
Rrna Gene ◽  
Oral Microbiota ◽  
Unifrac Distance ◽  
Alpha And Beta Diversity ◽  
The Difference

Background:Anti-citrullinated protein antibody (ACPA) production is observed in several organs even prior to the onset of rheumatoid arthritis (RA), and oral mucosa is considered to be one of the important tissues. The presence of HLA-DRB1*SE closely associates with ACPA production. Saliva is considered to reflect the oral microbiota including periodontal disease. Alteration of oral microbiota of RA becomes to be normalized by DMARDs treatment, however, the interaction of HLA-DRB1*SE, ACPA and oral microbiota of RA patients remains to be elucidated.Objectives:The Nagasaki Island Study, which had started in 2014 collaborating with Goto City, is intended for research of the preclinical stage of RA, including ACPA/HLA genotype screening and ultrasound and magnetic resonance imaging examinations in high-risk subjects. Using the samples accumulated in this cohort, we have tried to investigate the difference of oral microbiota among RA patients and healthy subjects regarding to ACPA and HLA-DRB1*SE.Methods:Blood and salivary samples were obtained from 1422 subjects out of 4276 who have participated in the Nagasaki Island Study from 2016 to 2018. ACPA positivity was 1.7 % in total. Some of RA patients resided in Goto City participated in the Nagasaki Island Study. At this point, we selected 291 subjects, who were ACPA positive non-RA healthy subjects (n=22) and patients with RA (n=33, 11 subjects were ACPA positive and 22 ACPA negative respectively) as the case, age and gender matched ACPA negative non-RA healthy subjects (n=236) as the control. ACPA was measured by an enzyme-linked immunosorbent assay, and HLA genotyping was quantified by next-generation sequencing (Ref.1). The operational taxonomic unit (OUT) analysis using 16S rRNA gene sequencing were performed. The richness of microbial diversity within-subject (alpha diversity) was scaled via Shannon entropy. The dissimilarity between microbial community composition was calculated using Bray-Curtis distance as a scale, and differences between groups (beta diversity) were tested by permutational multivariate analysis of variance (PERMANOVA). In addition, UniFrac distance calculated in consideration of the distance on the phylogenetic tree were performed.Results:Median age 70 y.o., % Female 58.8 %. Among RA and non-RA subjects, not alpha diversity but beta diversity was statistically significance (p=0.022, small in RA). In RA subjects, both alpha and beta diversity is small (p<0.0001), especially significant in ACPA positive RA (Figure 1). Amongt RA subjects, presence of HLA-DRB1*SE did not show the difference but the tendency of being small of alpha diversity (p=0.29).Conclusion:Our study has suggested for the first time the association of oral microbiota alteration with the presence of ACPA and HLA-DRB1*SE. Oral dysbiosis may reflect the immunological status of patients with RA.References:[1]Kawaguchi S, et al. Methods Mol Biol 2018;1802: 22Disclosure of Interests:None declared

scholarly journals Impact of Oropharyngeal Administration of Colostrum in Preterm Newborns’ Oral Microbiome

Nutrients ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 4224
Author(s):  
Ramon V. Cortez ◽  
Andrea Fernandes ◽  
Luiz Gustavo Sparvoli ◽  
Marina Padilha ◽  
Rubens Feferbaum ◽  
...  
Keyword(s):  
Preterm Infants ◽  
16S Rrna Gene Sequencing ◽  
Oral Microbiome ◽  
Rrna Gene ◽  
Oral Microbiota ◽  
Alpha And Beta Diversity ◽  
Longitudinal Observational Study ◽  
Key Factor ◽  
Rrna Gene Sequencing ◽  
Preterm Newborns

The initial colonization of the human microbiota is of paramount importance. In this context, the oropharyngeal administration of colostrum is a safe, viable, and well-tolerated practice even by the smallest preterm infants. Therefore, this study evaluated the effects of oropharyngeal administration of colostrum on the establishment of preterm infants’ oral microbiota. A longitudinal observational study was carried out with 20 premature neonates, divided into two groups: one receiving the protocol (Oropharyngeal Administration of Colostrum; OAC) and the other one receiving Standard Caare (SC). Saliva samples were collected from the newborns weekly during the study period (from the day of birth until the 21st day of life) for analysis of oral microbiota through 16S rRNA gene sequencing. We observed that the colonization of the oral microbiota of preterm newborns preseanted a higher relative abundance of Staphylococcus on the 7th day of life, mainly in the OAC group. Additionally, an increased abundance of Bifidobacterium and Bacteroides was observed in the OAC group at the first week of life. Regarding alpha and beta diversity, time was a key factor in the oral modulation of both groups, showing how dynamic this environment is in early life.

Metataxonomics contributes to unravel the microbiota of a Brazilian dairy

2020 ◽  
Vol 87 (3) ◽  
pp. 360-363
Author(s):  
Diego Araújo Frazilio ◽  
Otávio Guilherme Gonçalves de Almeida ◽  
Carlos Augusto Fernandes de Oliveira ◽  
Sarah Hwa In Lee ◽  
Carlos Humberto Corassin ◽  
...  
Keyword(s):  
Alpha Diversity ◽  
16S Rrna Gene Sequencing ◽  
Raw Material ◽  
Rrna Gene ◽  
Food Protection ◽  
The Core ◽  
Food Contact ◽  
Food Contact Surfaces ◽  
Contact Surfaces ◽  
Rrna Gene Sequencing

AbstractFor this research communication, 90 samples of a Brazilian dairy were combined into four groups (raw material, final product, food-contact and non-food contact surfaces) and analyzed by metataxonomics based on 16S rRNA gene sequencing. The results showed high alpha-diversity indexes for final product and non-food contact surfaces but, overall, beta-diversity indexes were low. The samples were separated in two main clusters, and the core microbiota was composed by Macrococcus, Alkaliphilus, Vagococcus, Lactobacillus, Marinilactibacillus, Streptococcus, Lysinibacillus, Staphylococcus, Clostridium, Halomonas, Lactococcus, Enterococcus, Bacillus and Psychrobacter. These results highlight that rare taxa occur in dairies, and this may aid the development of strategies for food protection.

scholarly journals Transition of Bacterial Diversity and Composition in Tongue Microbiota during the First Two Years of Life

mSphere ◽  
2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Shinya Kageyama ◽  
Mikari Asakawa ◽  
Toru Takeshita ◽  
Yukari Ihara ◽  
Shunsuke Kanno ◽  
...  
Keyword(s):  
Oral Cavity ◽  
Bacterial Diversity ◽  
Bacterial Species ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Oral Microbiota ◽  
Bacterial Composition ◽  
Content Type ◽  
Operational Taxonomic Units ◽  
Rrna Gene Sequencing

ABSTRACTNewborns are constantly exposed to various microbes from birth; hence, diverse commensal bacteria colonize the oral cavity. However, how or when these bacteria construct a complex and stable ecosystem remains unclear. This prospective cohort study examined the temporal changes in bacterial diversity and composition in tongue microbiota during infancy. We longitudinally collected a total of 464 tongue swab samples from 8 infants (age of <6 months at baseline) for approximately 2 years. We also collected samples from 32 children (aged 0 to 2 years) and 73 adults (aged 20 to 29 years) cross-sectionally as control groups. Bacterial diversities and compositions were determined by 16S rRNA gene sequencing. The tongue bacterial diversity in infancy, measured as the number of observed operational taxonomic units (OTUs), rapidly increased and nearly reached the same level as that in adults by around 80 weeks. The overall tongue bacterial composition in the transitional phase, 80 to 120 weeks, was more similar to that of adults than to that of the early exponential phase (EEP), 10 to 29 weeks, according to analysis of similarities. Dominant OTUs in the EEP corresponding toStreptococcus perorisandStreptococcus lactariusexponentially decreased immediately after EEP, around 30 to 49 weeks, whereas several OTUs corresponding toGranulicatella adiacens,Actinomyces odontolyticus, andFusobacterium periodonticumreciprocally increased during the same period. These results suggest that a drastic compositional shift of tongue microbiota occurs before the age of 1 year, and then bacterial diversity and overall bacterial composition reach levels comparable to those in adults by the age of 2 years.IMPORTANCEEvaluating the development of oral microbiota during infancy is important for understanding the subsequent colonization of bacterial species and the process of formation of mature microbiota in the oral cavity. We examined tongue microbiota longitudinally collected from 8 infants and found that drastic compositional shifts in tongue microbiota occur before the age of 1 year, and then bacterial diversity and overall bacterial composition reach levels comparable to those in adults by the age of 2 years. These results may be helpful for preventing the development of various diseases associated with oral microbiota throughout life.

scholarly journals Osteopontin-Enriched Algae Modulates the Gut Microbiota Composition in Weaning Piglets Infected with Enterotoxigenic Escherichia Coli (P06-069-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Mei Wang ◽  
Brooke Smith ◽  
Brock Adams ◽  
Miller Tran ◽  
Ryan Dilger ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Gut Microbiota ◽  
Alpha Diversity ◽  
Enterotoxigenic Escherichia Coli ◽  
Farm Animals ◽  
Future Research ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Wild Type ◽  
Gut Microbiota Composition

Abstract Objectives Enterotoxigenic Escherichia coli (ETEC) are an important cause of diarrhea in human infants and young farm animals. Osteopontin (OPN), a glycoprotein present in high concentration in human milk, has immunomodulatory functions, which could indirectly impact the microbiota. Furthermore, a previous study has shown fecal microbiota composition differs between wild-type and OPN knockout mice. Herein, the effects of OPN-enriched algae on the gut microbiota composition and volatile fatty acid (VFA) concentrations of ETEC-infected piglets were assessed. Methods Naturally-farrowed piglets were sow-reared for 21 days and then randomized to two weaning diets: WT (formula + 1% wild-type algae) or OPN (formula + 1% OPN-enriched algae). On postnatal day (PND) 31, all piglets were infected orally with a live culture of ETEC (1010 colony-forming unit/3 mL dose) daily for three consecutive days. On PND 41, ascending colon (AC) contents were collected. Gut microbiota was assessed by sequencing V3-V4 regions of 16S rRNA gene and VFAs were determined by gas chromatography. Alpha-diversity and VFAs were analyzed using PROC MIXED procedure of SAS. Beta-diversity was evaluated by permutational multivariate analysis of variance (PERMANOVA) and differential abundance analysis on the bacterial genera was performed using DESeq2 package of R. Results Shannon indices were lower in the AC contents of OPN piglets compared to WT piglets. The overall colonic microbiota of OPN piglets differed from that of WT piglets (PERMANOVA P = 0.015). At genus level, OPN-enriched algae increased the abundance of Streptococcus, decreased the abundances of Sutterella, Candidatus Soleaferrea, dga-11 gut group, Rikenellaceae RC9 gut group, Ruminococcaceae UCG-010, unculturedRuminococcaceae, Prevotella 2 and 7 compared to piglets consuming wild-type algae (P < 0. 05). OPN piglets also had higher (P < 0.05) concentrations of acetate, propionate, butyrate and valerate compared to WT. Conclusions In ETEC infected piglets, 1% OPN-enriched algae decreased alpha-diversity and modulated the microbiota composition and VFA profiles compared to 1% WT algae. Other studies have shown that OPN inhibits biofilm formation in vitro, but future research is needed to assess in vivo microbiome-modulation mechanisms. Funding Sources Triton Algae Innovations.

scholarly journals Impact of Diabetes on the Gut and Salivary IgA Microbiomes

2020 ◽  
Vol 88 (12) ◽  
Author(s):  
Eric L. Brown ◽  
Heather T. Essigmann ◽  
Kristi L. Hoffman ◽  
Noah W. Palm ◽  
Sarah M. Gunter ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Immunoglobulin A ◽  
Alpha Diversity ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Host Immune Responses ◽  
Mucosal Surfaces ◽  
Immune Mediated ◽  
Rrna Gene Sequencing ◽  
Immune Exclusion

ABSTRACT Mucosal surfaces like those present in the lung, gut, and mouth interface with distinct external environments. These mucosal gateways are not only portals of entry for potential pathogens but also homes to microbial communities that impact host health. Secretory immunoglobulin A (SIgA) is the single most abundant acquired immune component secreted onto mucosal surfaces and, via the process of immune exclusion, shapes the architecture of these microbiomes. Not all microorganisms at mucosal surfaces are targeted by SIgA; therefore, a better understanding of the SIgA-coated fraction may identify the microbial constituents that stimulate host immune responses in the context of health and disease. Chronic diseases like type 2 diabetes are associated with altered microbial communities (dysbiosis) that in turn affect immune-mediated homeostasis. 16S rRNA gene sequencing of SIgA-coated/uncoated bacteria (IgA-Biome) was conducted on stool and saliva samples of normoglycemic participants and individuals with prediabetes or diabetes (n = 8/group). These analyses demonstrated shifts in relative abundance in the IgA-Biome profiles between normoglycemic, prediabetic, or diabetic samples distinct from that of the overall microbiome. Differences in IgA-Biome alpha diversity were apparent for both stool and saliva, while overarching bacterial community differences (beta diversity) were also observed in saliva. These data suggest that IgA-Biome analyses can be used to identify novel microbial signatures associated with diabetes and support the need for further studies exploring these communities. Ultimately, an understanding of the IgA-Biome may promote the development of novel strategies to restructure the microbiome as a means of preventing or treating diseases associated with dysbiosis at mucosal surfaces.

scholarly journals Inbreeding Alters the Gut Microbiota of the Banna Minipig

Animals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 2125
Author(s):  
Limin Wei ◽  
Bo Zeng ◽  
Siyuan Zhang ◽  
Feng Li ◽  
Fanli Kong ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Gene Sequencing ◽  
Alpha Diversity ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Rrna Gene Sequencing ◽  
Isoleucine Metabolism ◽  
Dominant Bacteria ◽  
The Impact ◽  
Predicted Function

The gut microbiota coevolve with the host and can be stably transmitted to the offspring. Host genetics plays a crucial role in the composition and abundance of gut microbiota. Inbreeding can cause a decrease of the host’s genetic diversity and the heterozygosity. In this study, we used 16S rRNA gene sequencing to compare the differences of gut microbiota between the Diannan small-ear pig and Banna minipig inbred, aiming to understand the impact of inbreeding on the gut microbiota. Three dominant bacteria (Stenotrophlomonas, Streptococcus, and Lactobacillus) were steadily enriched in both the Diannan small-ear pig and Banna minipig inbred. After inbreeding, the gut microbiota alpha diversity and some potential probiotics (Bifidobacterium, Tricibacter, Ruminocaccae, Christensenellaceae, etc.) were significantly decreased, while the pathogenic Klebsiella bacteria was significantly increased. In addition, the predicted metagenomic analysis (PICRUSt2) indicated that several amino acid metabolisms (‘‘Valine, leucine, and isoleucine metabolism’’, ‘‘Phenylalanine, tyrosine, and tryptophan biosynthesis’’, ‘‘Histidine metabolism’’) were also markedly decreased after the inbreeding. Altogether our data reveal that host inbreeding altered the composition and the predicted function of the gut microbiome, which provides some data for the gut microbiota during inbreeding.

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