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Changes of saliva microbiota in the onset and after the treatment of diabetes in patients with periodontitis
The relationship between type 2 diabetes mellitus (T2DM) and oral microbiota is still insufficiently recognized. In the present study, we compared the salivary microbiome of nondiabetic individuals, treatment-naïve diabetic patients, and diabetic patients treated with metformin or a combination of i...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377876/ https://www.ncbi.nlm.nih.gov/pubmed/32634783 http://dx.doi.org/10.18632/aging.103399 |
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author | Yang, Ying Liu, Shili Wang, Yihua Wang, Zhibin Ding, Wenyu Sun, Xiaoyuan He, Kunlun Feng, Qiang Zhang, Xiandang |
author_facet | Yang, Ying Liu, Shili Wang, Yihua Wang, Zhibin Ding, Wenyu Sun, Xiaoyuan He, Kunlun Feng, Qiang Zhang, Xiandang |
author_sort | Yang, Ying |
collection | PubMed |
description | The relationship between type 2 diabetes mellitus (T2DM) and oral microbiota is still insufficiently recognized. In the present study, we compared the salivary microbiome of nondiabetic individuals, treatment-naïve diabetic patients, and diabetic patients treated with metformin or a combination of insulin and other drugs. The α- and β-diversity demonstrated significant differences in the salivary microbiome between the nondiabetic people and patients with a history of diabetes, while little divergence was found among individuals with a history of diabetes. After characterizing the effects of periodontitis on the microbial composition of each group, the salivary microbiome of the treatment-naïve diabetic patient group was compared with that of nondiabetic people and the metformin/combined treatment groups. The results revealed changes in the contents of certain bacteria after both the onset and the treatment of diabetes; among these differential bacteria, Blautia_wexlerae, Lactobacillus_fermentum, Nocardia_coeliaca and Selenomonas_artemidis varied in all processes. A subsequent correlational analysis of the differential bacteria and clinical characteristics demonstrated that salivary microbes were related to drug treatment and certain pathological changes. Finally, the four common differential bacteria were employed for distinguishing the treatment-naïve diabetic patients from the nondiabetic people and the treated patients, with prediction accuracies of 83.3%, 75% and 75%, respectively. |
format | Online Article Text |
id | pubmed-7377876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-73778762020-07-31 Changes of saliva microbiota in the onset and after the treatment of diabetes in patients with periodontitis Yang, Ying Liu, Shili Wang, Yihua Wang, Zhibin Ding, Wenyu Sun, Xiaoyuan He, Kunlun Feng, Qiang Zhang, Xiandang Aging (Albany NY) Research Paper The relationship between type 2 diabetes mellitus (T2DM) and oral microbiota is still insufficiently recognized. In the present study, we compared the salivary microbiome of nondiabetic individuals, treatment-naïve diabetic patients, and diabetic patients treated with metformin or a combination of insulin and other drugs. The α- and β-diversity demonstrated significant differences in the salivary microbiome between the nondiabetic people and patients with a history of diabetes, while little divergence was found among individuals with a history of diabetes. After characterizing the effects of periodontitis on the microbial composition of each group, the salivary microbiome of the treatment-naïve diabetic patient group was compared with that of nondiabetic people and the metformin/combined treatment groups. The results revealed changes in the contents of certain bacteria after both the onset and the treatment of diabetes; among these differential bacteria, Blautia_wexlerae, Lactobacillus_fermentum, Nocardia_coeliaca and Selenomonas_artemidis varied in all processes. A subsequent correlational analysis of the differential bacteria and clinical characteristics demonstrated that salivary microbes were related to drug treatment and certain pathological changes. Finally, the four common differential bacteria were employed for distinguishing the treatment-naïve diabetic patients from the nondiabetic people and the treated patients, with prediction accuracies of 83.3%, 75% and 75%, respectively. Impact Journals 2020-07-07 /pmc/articles/PMC7377876/ /pubmed/32634783 http://dx.doi.org/10.18632/aging.103399 Text en Copyright © 2020 Yang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Yang, Ying Liu, Shili Wang, Yihua Wang, Zhibin Ding, Wenyu Sun, Xiaoyuan He, Kunlun Feng, Qiang Zhang, Xiandang Changes of saliva microbiota in the onset and after the treatment of diabetes in patients with periodontitis |
title | Changes of saliva microbiota in the onset and after the treatment of diabetes in patients with periodontitis |
title_full | Changes of saliva microbiota in the onset and after the treatment of diabetes in patients with periodontitis |
title_fullStr | Changes of saliva microbiota in the onset and after the treatment of diabetes in patients with periodontitis |
title_full_unstemmed | Changes of saliva microbiota in the onset and after the treatment of diabetes in patients with periodontitis |
title_short | Changes of saliva microbiota in the onset and after the treatment of diabetes in patients with periodontitis |
title_sort | changes of saliva microbiota in the onset and after the treatment of diabetes in patients with periodontitis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377876/ https://www.ncbi.nlm.nih.gov/pubmed/32634783 http://dx.doi.org/10.18632/aging.103399 |
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