Characterization of salivary microbiota in elderly patients with type 2 diabetes mellitus: a matched case–control study

Omori, Michi; Kato-Kogoe, Nahoko; Sakaguchi, Shoichi; Kamiya, Kohei; Fukui, Nozomu; Gu, Yan‐Hong; Nakamura, Shota; Nakano, Takashi; Hoshiga, Masaaki; Imagawa, Akihisa; Kit, Chee Hoe; Tamaki, Junko; Ueno, Takaaki

doi:10.1007/s00784-021-04027-y

Cited by 16 publications

(17 citation statements)

References 51 publications

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“…Norrman et al [84] did not find differences between the groups in number of periodontal pathogens; however, it is important to note that the patients from this study included liver transplant recipients with type 2 diabetes mellitus, using several systemic medications, such as analgesics, immunosuppressors, cyclosporine, and corticosteroid. Omori et al [85] showed no significant differences in the alpha diversity of the salivary microbiota between elderly patients with type 2 diabetes mellitus and control groups. At the genus level, however, an increased abundance of Rothia, Faecalibacterium, and Selenomonas was observed, as well as a decreased abundance of Prevotella, Porphyromonas, and Neisseria in the diabetic groups compared to the control group.…”

Section: Salivary Microbiome Affected By Diabetes Mellitusmentioning

confidence: 97%

The Microbiome in Periodontitis and Diabetes

Silva

Casarin

Monajemzadeh

et al. 2022

Front. Oral. Health

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ObjectivesTo perform a comprehensive and integrative review of the available literature on the potential changes in the microbiome of healthy and individuals with diabetes under periodontal health and disease.Materials and MethodsThe review was conducted by two independent reviewers. Indexed electronic databases (PubMed/Medline, Cochrane Library, Web of Science and Scopus) were searched, including articles published in English and dated from 5 years ago until December 2021. A manual search also was performed to identify co-related articles. Following the removal of duplicates and eligibility criteria, the articles were included in tables for analysis and described in the manuscript.ResultsAccording to this review, diabetes mellitus was associated with significant changes in the subgingival and salivary microbiome, either in its association with periodontitis or in cases of periodontal health. In addition to affecting microbial diversity in terms of taxonomy, metagenomic studies have shown that this endocrine disorder may also be directly related to increased pathogenicity in the oral microbiome.ConclusionAlthough the reviewed studies demonstrate important differences in the subgingival and salivary microbiome composition because of diabetes mellitus, further studies are needed to clarify the real effects of hyperglycemia on oral microbial profiles and support new diagnostic approaches and innovative treatments.

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Section: Salivary Microbiome Affected By Diabetes Mellitusmentioning

confidence: 97%

The Microbiome in Periodontitis and Diabetes

Silva

Casarin

Monajemzadeh

et al. 2022

Front. Oral. Health

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“…This reduction is positively correlated to insulin secretion with fibroblast growth factor concentrations (Zhang et al 2021a , b ). Phylum Firmicutes is abundant in the microbiota of saliva of Japanese patients with T2DM (Omori et al 2022 ). The Firmicutes/Bacteroidetes (F/B) ratio is associated with a normal intestinal homeostasis and increased ratio of this is observed with obesity while decreased ratio are seen with inflammatory bowel disease (IBD) (Stojanov et al 2020 ), and it is not a good news as per Clostridia , which is a causative bacteria of potentially deadly diseases like botulism and tetanus (Cruz-Morales et al 2019 ).…”

Section: Gut Bacteriome Alterations and Diabetesmentioning

confidence: 99%

The gut microbiota pathway mechanisms of diabetes

et al. 2023

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The contribution of dysbiotic gut microbiota configuration is essential when making reference to the metabolic disorders by increasing energy. It is important to understand that the gut microbiota induced metabolic disease mechanisms and inflammations. Thus it is imperative to have an insight into the state of all chronic subclinical inflammations influencing disease outcomes. However, from the emerging studies, there still exist inconsistencies in the findings of such studies. While making the best out of the reasons for inconsistencies of the findings, this review is designed to make a clear spell out as to the inconsistence of gut microbiota with respect to diabetes. It considered gut-virome alterations and diabetes and gut-bacteriome-gut-virome-alterations and diabetes as confounding factors. The review further explained some study design strategies that will spontaneously eliminate any potential confounding factors to lead to a more evidence based diabetic-gut microbiota medicine. Lipopolysaccharide (LPS) pro-inflammatory, metabolic endotoxemia and diet/gut microbiota insulin-resistance and low-grade systemic inflammation induced by gut microbiota can trigger pro-inflammatory cytokines in insulin-resistance, consequently, leading to the diabetic condition. While diet influences the gut microbiota, the consequences are mainly the constant high levels of pro-inflammatory cytokines in the circulatory system. Of recent, dietary natural products have been shown to be anti-diabetic. The effects of resveratrol on the gut showed an improved lipid profile, anti-inflammatory properties and ameliorated the endotoxemia, tight junction and glucose intolerance.

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“…In recent years, increasing knowledge of the microbiota has revealed that it plays a symbiotic role in maintaining the physiological functions of the host. Oral microbiota is closely associated with various systemic diseases, such as cancer, diabetes, and autoimmune disorders, suggesting that the salivary microbiota may be a disease-specific biomarker [10][11][12][13] . Although individual oral bacterial species associated with vascular endothelial dysfunction have been identified 14,15) , no association between the salivary microbiota as a whole and vascular endothelial function has yet been identified.…”

Section: Participantsmentioning

confidence: 99%

“…Oral sample collection and examination were performed as previously described 12) . Briefly, saliva samples were collected from participants in the morning (at least 2 h after brushing their teeth or consumption of meals) using the cotton swab method, as previously described 22) , using the saliva collection system SalivaBio Ⓡ oral swab and swab storage tube (Salimetrics, Irvine, PA, USA) prior to the oral examination.…”

Section: Oral Sample Collection and Oral Examinationmentioning

confidence: 99%

Salivary Microbiota Associated with Peripheral Microvascular Endothelial Dysfunction

Kato-Kogoe

Kamiya

Sakaguchi

et al. 2023

JAT

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Aims: Oral health is associated with atherosclerotic cardiovascular disease (ACVD). We previously identified the salivary microbiota characteristics of patients with ACVD. However, whether salivary microbiota is characteristic under impaired vascular endothelial function before ACVD onset remains unclear. Therefore, we aimed to evaluate the characteristics of salivary microbiota associated with peripheral microvascular endothelial dysfunction. Methods:We collected saliva samples from 172 community-dwelling elderly individuals without a history of ACVD and performed 16S rRNA metagenomic analysis. We assessed the peripheral microvascular endothelial function using reactive hyperemia index (RHI) and compared the salivary microbiota in the groups with normal (RHI ≥ 2.10), borderline, and abnormal (RHI ＜1.67) peripheral endothelial function. Furthermore, we applied machine learning techniques to evaluate whether salivary microbiota could discriminate between individuals with normal and abnormal endothelial function. Results:The number of operational taxonomic units (OTUs) was higher in the abnormal group than in the normal group (p=0.037), and differences were found in the overall salivary microbiota structure (unweighted UniFrac distances, p=0.038). The linear discriminant analysis (LDA) effect size (LEfSe) algorithm revealed several significantly differentially abundant bacterial genera between the two groups. An Extra Trees classifier model was built to discriminate between groups with normal and abnormal vascular endothelial function based on the microbial composition at the genus level (AUC=0.810). Conclusions:The salivary microbiota in individuals with endothelial dysfunction was distinct from that in individuals with normal endothelial function, indicating that the salivary microbiota may be related to endothelial function.

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Characterization of salivary microbiota in elderly patients with type 2 diabetes mellitus: a matched case–control study

Cited by 16 publications

References 51 publications

The Microbiome in Periodontitis and Diabetes

The Microbiome in Periodontitis and Diabetes

The gut microbiota pathway mechanisms of diabetes

Salivary Microbiota Associated with Peripheral Microvascular Endothelial Dysfunction

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