Alteration of salivary microbiome in periodontitis with or without type-2 diabetes mellitus and metformin treatment

Sun, Xiaoyu; Li, Meihui; Li, Xia; Fang, Zhaohui; Shiratsuchi, Yu; Gao, Jike; Feng, Qiang; Yang, Pishan

doi:10.1038/s41598-020-72035-1

Cited by 52 publications

(66 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In contrast, Saeb et al (2019) found the opposite trend when comparing the impaired glucose tolerance and diabetes group with the normoglycemic group [ 29 ]. Chao1 and Shannon’s diversity indices of oral microbiome in PPG FPG were higher than those in NG FPG , which is well in agreement with other studies of T2DM patients [ 40 , 41 , 42 ]. It is found that the oral microbiomes are potentially influenced by various factors such as oral health and host characteristics [ 43 , 44 ].…”

Section: Discussionsupporting

confidence: 92%

Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis

Rungrueang

Yuma

Tantipoj

et al. 2021

IJERPH

View full text Add to dashboard Cite

This study aimed to find a potential biomarker that can be used to diagnose prediabetic condition by comparing the salivary bacterial microbiomes between Thai dental patients with normoglycemia (NG) and those with potential prediabetes (PPG) conditions. Thirty-three subjects were randomly recruited. Demographic data were collected along with oral examination and unstimulated salivary collections. The salivary bacterial microbiomes were identified by high-throughput sequencing on the V3–V4 region of the bacterial 16S rRNA gene. Microbiomes in this study were composed of 12 phyla, 19 classes, 29 orders, 56 families, 81 genera, and 184 species. To check the validity of the selection criterion for prediabetes, we adopted two separate criteria to divide samples into PPG and NG groups using glycated hemoglobin A1c (HbA1c) or fasting plasma glucose (FPG) levels. Using the HbA1c level resulted in the significant reduction of Alloprevotella, Neisseria, Rothia, and Streptococcus abundances in PPG compared with those in NG (p-value < 0.05). On the other hand, the abundance of Absconditabacteriales was significantly reduced whereas Leptotrichia, Stomatobaculum, and Ruminococcaceae increased in the PPG group when the samples were classified by the FPG level (p-value < 0.05). It is implied that the group classifying criterion should be carefully concerned when investigating relative abundances between groups. However, regardless of the criteria, Rothia is significantly dominant in the NG groups, suggesting that Rothia might be a potential prediabetic biomarker. Due to the small sample size of this study, further investigation with a larger sample size is necessary to ensure that Rothia can be a potential biomarker for prediabetes in Thai people.

show abstract

Section: Discussionsupporting

confidence: 92%

Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis

Rungrueang

Yuma

Tantipoj

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…However, it may not reflect the actual result because phenotypic identification systems have insufficient databases for this microorganism. Alloprevotella rava has been detected in the oral microbiota of certain patients with oral dysbiosis by molecular techniques since 2013, when it was defined [ [2] , [3] , [4] ]. An epidemiological study, conducted among Chinese preschool children, revealed that the relative proportions of A. rava were significantly higher in the halitosis group compared with the control group [ 6 ].…”

Section: Discussionmentioning

confidence: 99%

“…A prospective cohort study showed a relationship between an increase in dental caries and the level of the genus Alloprevotella in the oral microbiome among Japanese university students [ 3 ]. Another report indicated that the proportion of A. rava was significantly increased in saliva samples of periodontitis patients [ 4 ]. On the other hand, Coit et al.…”

Section: Discussionmentioning

confidence: 99%

“…Cases are usually mixed anaerobic infections, reinforcing the concept that osteomyelitis of the jaws is mainly related to microorganisms from the oral environment [ 1 ]. Alloprevotella rava is an obligatory anaerobic Gram-negative bacillus isolated from the human oral cavity, associated with oral dysbiotic infections such as dental caries and periodontitis [ [2] , [3] , [4] ]. We present the first case of A. rava infection in a patient with polymicrobial CMO initially thought to be oral squamous cell carcinoma from clinical and computed tomography findings.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Alloprevotella rava isolated from a mixed infection of an elderly patient with chronic mandibular osteomyelitis mimicking oral squamous cell carcinoma

Toprak

Duman

Saçak

et al. 2021

New Microbes and New Infections

View full text Add to dashboard Cite

The anaerobic, Gram-negative bacillus Alloprevotella rava has recently been described in the human oral cavity. To our knowledge, this species has not been isolated from chronic osteomyleitis samples. We present the first case of A. rava infection in a 92-year-old woman with polymicrobial chronic mandibular osteomyelitis, mimicking oral squamous cell carcinoma.

show abstract

“…Oral cancer [31] Ralstonia Periodontitis [32] Sphingomonas Recurrent aphthous ulcer [33] Gram-positive Actinomyces Dental caries [34] Bacillus Dental caries [35] Corynebacterium Biofilm formation [36] Lactobacillus Dental caries [34]…”

Section: Gram Staining Genusmentioning

confidence: 99%

Core of the saliva microbiome: an analysis of the MG-RAST data

et al. 2021

View full text Add to dashboard Cite

Background Oral microbiota is considered as the second most complex in the human body and its dysbiosis can be responsible for oral diseases. Interactions between the microorganism communities and the host allow establishing the microbiological proles. Identifying the core microbiome is essential to predicting diseases and changes in environmental behavior from microorganisms. Methods Projects containing the term “SALIVA”, deposited between 2014 and 2019 were recovered on the MG-RAST portal. Quality (Failed), taxonomic prediction (Unknown and Predicted), species richness (Rarefaction), and species diversity (Alpha) were analyzed according to sequencing approaches (Amplicon sequencing and Shotgun metagenomics). All data were checked for normality and homoscedasticity. Metagenomic projects were compared using the Mann–Whitney U test and Spearman's correlation. Microbiome cores were inferred by Principal Component Analysis. For all statistical tests, p < 0.05 was used. Results The study was performed with 3 projects, involving 245 Amplicon and 164 Shotgun metagenome datasets. All comparisons of variables, according to the type of sequencing, showed significant differences, except for the Predicted. In Shotgun metagenomics datasets the highest correlation was between Rarefaction and Failed (r = − 0.78) and the lowest between Alpha and Unknown (r = − 0.12). In Amplicon sequencing datasets, the variables Rarefaction and Unknown (r = 0.63) had the highest correlation and the lowest was between Alpha and Predicted (r = − 0.03). Shotgun metagenomics datasets showed a greater number of genera than Amplicon. Propionibacterium, Lactobacillus, and Prevotella were the most representative genera in Amplicon sequencing. In Shotgun metagenomics, the most representative genera were Escherichia, Chitinophaga, and Acinetobacter. Conclusions Core of the salivary microbiome and genera diversity are dependent on the sequencing approaches. Available data suggest that Shotgun metagenomics and Amplicon sequencing have similar sensitivities to detect the taxonomic level investigated, although Shotgun metagenomics allows a deeper analysis of the microorganism diversity. Microbiome studies must consider characteristics and limitations of the sequencing approaches. Were identified 20 genera in the core of saliva microbiome, regardless of the health condition of the host. Some bacteria of the core need further study to better understand their role in the oral cavity.

show abstract

Alteration of salivary microbiome in periodontitis with or without type-2 diabetes mellitus and metformin treatment

Cited by 52 publications

References 38 publications

Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis

Oral Bacterial Microbiomes in Association with Potential Prediabetes Using Different Criteria of Diagnosis

Alloprevotella rava isolated from a mixed infection of an elderly patient with chronic mandibular osteomyelitis mimicking oral squamous cell carcinoma

Core of the saliva microbiome: an analysis of the MG-RAST data

Contact Info

Product

Resources

About