scholarly journals Salivary microbiome profiling reveals a dysbiotic schizophrenia-associated microbiota

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Ying Qing ◽  
Lihua Xu ◽  
Gaoping Cui ◽  
Liya Sun ◽  
Xiaowen Hu ◽  
...  
Keyword(s):  
16S Rrna Gene Sequencing ◽  
Oral Microbiome ◽  
Disease Stage ◽  
First Episode ◽  
Rrna Gene ◽  
Oral Microbiota ◽  
Β Diversity ◽  
Metabolic Functions ◽  
Α Diversity ◽  
Rrna Gene Sequencing

AbstractSchizophrenia is a debilitating mental disorder and often has a prodromal period, referred to as clinical high risk (CHR) for psychosis, prior to the first episode. The etiology and pathogenesis of schizophrenia remain unclear. Despite the human gut microbiome being associated with schizophrenia, the role of the oral microbiome, which is a vital player in the mouth–body connection, is not well understood. To address this, we performed 16S rRNA gene sequencing to investigate the salivary microbiome in 85 patients with drug-naïve first-episode schizophrenia (FES), 43 individuals at CHR, and 80 healthy controls (HCs). The salivary microbiome of FES patients was characterized by higher α-diversity and lower β-diversity heterogeneity than those of CHR subjects and HCs. Proteobacteria, the predominant phylum, was depleted, while Firmicutes and the Firmicutes/Proteobacteria ratio was enriched, in a stepwise manner from HC to CHR to FES. H2S-producing bacteria exhibited disease-stage-specific enrichment and could be potential diagnostic biomarkers for FES and CHR. Certain salivary microbiota exhibited disease-specific correlation patterns with symptomatic severities, peripheral pro-inflammatory cytokines, thioredoxin, and S100B in FES. Furthermore, the metabolic functions from inferred metagenomes of the salivary microbiome were disrupted in FES, especially amino acid metabolism, carbohydrate metabolism, and xenobiotic degradation. This study has established a link between salivary microbiome alterations and disease initiation and provided the hypothesis of how the oral microbiota could influence schizophrenia.

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.

scholarly journals Sex Variations in the Oral Microbiomes of Youths with Severe Periodontitis

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ya-Qiong Zhao ◽  
Ying-Hui Zhou ◽  
Jie Zhao ◽  
Yao Feng ◽  
Zheng-Rong Gao ◽  
...  
Keyword(s):  
Immune System ◽  
16S Rrna ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Oral Microbiome ◽  
Rrna Gene ◽  
Β Diversity ◽  
Severe Periodontitis ◽  
Rrna Gene Sequencing ◽  
Dominant Bacteria

Objective. Periodontitis is an inflammatory disease of microbial etiology caused primarily by dysbiosis of the oral microbiota. Our aim was to compare variations in the composition of the oral microbiomes of youths with severe periodontitis according to gender. Methods. Subgingival plaque samples collected from 17 patients with severe periodontitis (11 males and 6 females) were split for 16S rRNA gene sequencing. The composition, α-diversity, and β-diversity of the patients’ oral microbiomes were compared between the males and the females. Linear discriminant analysis effect size (LEfSe) was used to analyze the specific taxa enriched in the two groups. Functional profiles (KEGG pathways) were obtained using PICRUSt based on 16S rRNA gene sequencing data. Results. The Chao1 index and phylogenetic diversity whole tree were significantly higher in males than in females. The Simpson and Shannon indices were not significantly different between the two groups. β-Diversity suggested that the samples were reasonably divided into groups. The Kruskal-Wallis test based on the relative abundance of species, combined with the LEfSe analysis showed that the dominant bacteria in males were Pseudomonas and Papillibacter, whereas the dominant bacteria in women were Fusobacteriales and Tannerella. KEGG analysis predicted that the variation in the oral microbiome may be related to the immune system in women, whereas immune system diseases were the dominant pathway in men. Conclusion. We found sex-specific differences in the oral microbiome in a sample of youths with severe periodontitis. The differences may be related to changes in immune homeostasis and lead to a better understanding of periodontitis.

scholarly journals Differential Signature of the Microbiome and Neutrophils in the Oral Cavity of HIV-Infected Individuals

2021 ◽  
Vol 12 ◽  
Author(s):  
Eliana Perez Rosero ◽  
Samantha Heron ◽  
Juan Jovel ◽  
Conar R. O’Neil ◽  
Shannon Lee Turvey ◽  
...  
Keyword(s):  
Oral Cavity ◽  
Immune Cell ◽  
16S Rrna Gene Sequencing ◽  
Surface Expression ◽  
Oral Microbiome ◽  
Rrna Gene ◽  
Healthy Individuals ◽  
Β Diversity ◽  
Α Diversity ◽  
Wide Range

HIV infection is associated with a wide range of changes in microbial communities and immune cell components of the oral cavity. The purpose of this study was to evaluate the oral microbiome in relationship to oral neutrophils in HIV-infected compared to healthy individuals. We evaluated oral washes and saliva samples from HIV-infected individuals (n=52) and healthy controls (n=43). Using 16S-rRNA gene sequencing, we found differential β-diversity using Principal Coordinate Analysis (PCoA) with Bray-Curtis distances. The α-diversity analysis by Faith’s, Shannon, and observed OTUs indexes indicated that the saliva samples from HIV-infected individuals harbored significantly richer bacterial communities compared to the saliva samples from healthy individuals. Notably, we observed that five species of Spirochaeta including Spirochaetaceae, Spirochaeta, Treponema, Treponema amylovorum, and Treponema azotonutricum were significantly abundant. In contrast, Helicobacter species were significantly reduced in the saliva of HIV-infected individuals. Moreover, we found a significant reduction in the frequency of oral neutrophils in the oral cavity of HIV-infected individuals, which was positively related to their CD4+ T cell count. In particular, we noted a significant decline in CD44 expressing neutrophils and the intensity of CD44 expression on oral neutrophils of HIV-infected individuals. This observation was supported by the elevation of soluble CD44 in the saliva of HIV-infected individuals. Overall, the core oral microbiome was distinguishable between HIV-infected individuals on antiretroviral therapy compared to the HIV-negative group. The observed reduction in oral neutrophils might likely be related to the low surface expression of CD44, resulting in a higher bacterial diversity and richness in HIV-infected individuals.

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 Effect of chewing betel nut on the gut microbiota of Hainanese

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258489
Author(s):  
Li Ying ◽  
Yunjia Yang ◽  
Jun Zhou ◽  
Hairong Huang ◽  
Guankui Du
Keyword(s):  
Gut Microbiota ◽  
16S Rrna Gene Sequencing ◽  
Control Group ◽  
Rrna Gene ◽  
Betel Nut ◽  
Positive Effects ◽  
Α Diversity ◽  
Host Health ◽  
Betel Nut Chewing ◽  
Rrna Gene Sequencing

Betel nut chewing (BNC) is prevalent in South Asia and Southeast Asia. BNC can affect host health by modulating the gut microbiota. The aim of this study is to evaluate the effect of BNC on the gut microbiota of the host. Feces samples were obtained from 34 BNC individuals from Ledong and Lingshui, Hainan, China. The microbiota was analyzed by 16S rRNA gene sequencing. BNC decreased the microbial α-diversity. Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria were the predominant phyla, accounting for 99.35% of the BNC group. The Firmicutes-to-Bacteroidetes ratio was significantly increased in the BNC group compared to a control group. The abundances of the families Aerococcaceae, Neisseriaceae, Moraxellaceae, Porphyromonadaceae, and Planococcaceae were decreased in the BNC/BNC_Male/BNC_Female groups compared to the control group, whereas the abundances of Coriobacteriaceae, Streptococcaceae, Micrococcaceae, Xanthomonadaceae, Coxiellaceae, Nocardioidaceae, Rhodobacteraceae, and Succinivibrionaceae were increased. In general, the gut microbiome profiles suggest that BNC may have positive effects, such as an increase in the abundance of beneficial microbes and a reduction in the abundance of disease-related microbes. However, BNC may also produce an increase in the abundance of disease-related microbes. Therefore, extraction of prebiotic components could increase the beneficial value of betel nut.

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.

scholarly journals Bacterial communities associated with cell phones and shoes

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9235
Author(s):  
David A. Coil ◽  
Russell Y. Neches ◽  
Jenna M. Lang ◽  
Guillaume Jospin ◽  
Wendy E. Brown ◽  
...  
Keyword(s):  
Large Scale ◽  
Cell Phones ◽  
Human Microbiome ◽  
16S Rrna Gene Sequencing ◽  
The United States ◽  
Oral Microbiome ◽  
Rrna Gene ◽  
Sporting Events ◽  
Rrna Gene Sequencing ◽  
Source And Sink

Background Every human being carries with them a collection of microbes, a collection that is likely both unique to that person, but also dynamic as a result of significant flux with the surrounding environment. The interaction of the human microbiome (i.e., the microbes that are found directly in contact with a person in places such as the gut, mouth, and skin) and the microbiome of accessory objects (e.g., shoes, clothing, phones, jewelry) is of potential interest to both epidemiology and the developing field of microbial forensics. Therefore, the microbiome of personal accessories are of interest because they serve as both a microbial source and sink for an individual, they may provide information about the microbial exposure experienced by an individual, and they can be sampled non-invasively. Findings We report here a large-scale study of the microbiome found on cell phones and shoes. Cell phones serve as a potential source and sink for skin and oral microbiome, while shoes can act as sampling devices for microbial environmental experience. Using 16S rRNA gene sequencing, we characterized the microbiome of thousands of paired sets of cell phones and shoes from individuals at sporting events, museums, and other venues around the United States. Conclusions We place this data in the context of previous studies and demonstrate that the microbiome of phones and shoes are different. This difference is driven largely by the presence of “environmental” taxa (taxa from groups that tend to be found in places like soil) on shoes and human-associated taxa (taxa from groups that are abundant in the human microbiome) on phones. This large dataset also contains many novel taxa, highlighting the fact that much of microbial diversity remains uncharacterized, even on commonplace objects.

scholarly journals Tongue microbiome of smokeless tobacco users

2020 ◽  
Author(s):  
Esam Halboub ◽  
Mohammed Alakhali ◽  
Abdulwahhab H. Al-Amir ◽  
Husham E. Homeida ◽  
Divyashri Baraniya ◽  
...  
Keyword(s):  
Smokeless Tobacco ◽  
Alpha Diversity ◽  
16S Rrna Gene Sequencing ◽  
Cross Sectional Study ◽  
Oral Microbiome ◽  
Rrna Gene ◽  
Cross Sectional ◽  
Oral Carcinogenesis ◽  
Rothia Mucilaginosa ◽  
Rrna Gene Sequencing

Abstract Background The possibility that smokeless tobacco may contribute to oral carcinogenesis by influencing the oral microbiome has not been explored. This cross sectional study sought to assess the effect of using shammah, a form of smokeless tobacco prevalent in Arabia, on the tongue microbiome. Tongue scarping samples were obtained from twenty-nine shammah users (SU; 27.34±6.9 years) and 23 shammah non-users (SNU; 27.7±7.19 years) and analyzed with 16S rRNA gene sequencing (V1-V3). Species-level taxonomy assignment of the high-quality, merged reads was obtained using a previously described BLASTn-based algorithm. Downstream analyses were performed with QIIME, LEfSe, and R. Results A total of 178 species, belonging to 62 genera and 8 phyla were identified. Genera Streptococcus , Leptotrichia , Actinomyces , Veillonella , Haemophilus , Prevotella and Neisseria accounted for more than 60% of the average microbiome. There were no differences between the two groups in species richness and alpha-diversity, but PCoA showed significant separation (P=0.015, ANOSIM). LEfSe analysis identified 22 species to be differentially abundant between the SU and SNU. However, only 7 species maintained a false discovery rate of ≤ 0.2 and could cluster the two groups separately: Rothia mucilaginosa , Streptococcus sp. oral taxon 66, Actinomyces meyeri , Streptococcus vestibularis Streptococcus sanguinis and a potentially novel Veillonella species in association with SU, and Oribacterium asaccharolyticum with SNU. Conclusion Shammah use induces tongue microbiome changes that may be relevant to oral carcinogenesis, namely enrichment of species with high acetaldehyde production potential, which warrants further investigation.

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

Animals ◽  
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.

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

2020 ◽  
Vol 48 (04) ◽  
pp. 923-944 ◽  
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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