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Periodontitis in elderly patients with type 2 diabetes mellitus: impact on gut microbiota and systemic inflammation
Elderly patients with type 2 diabetes mellitus (T2DM) exhibit considerable periodontitis frequency, which causes tooth loss and poor quality of life. To investigate the impact of periodontitis on gut microbiota, we used 16S rRNA amplicon sequencing to characterize the composition and structure of gu...
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/PMC7803515/ https://www.ncbi.nlm.nih.gov/pubmed/33234730 http://dx.doi.org/10.18632/aging.202174 |
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author | Li, Jinyou Lu, Haifeng Wu, Huanwen Huang, Shunmei Chen, Lufang Gui, Qifeng Zhou, Wenjing Yang, Yichen Wu, Yue Zhang, Hua Zhang, Qin Yang, Yunmei |
author_facet | Li, Jinyou Lu, Haifeng Wu, Huanwen Huang, Shunmei Chen, Lufang Gui, Qifeng Zhou, Wenjing Yang, Yichen Wu, Yue Zhang, Hua Zhang, Qin Yang, Yunmei |
author_sort | Li, Jinyou |
collection | PubMed |
description | Elderly patients with type 2 diabetes mellitus (T2DM) exhibit considerable periodontitis frequency, which causes tooth loss and poor quality of life. To investigate the impact of periodontitis on gut microbiota, we used 16S rRNA amplicon sequencing to characterize the composition and structure of gut microbiota among elderly patients with T2DM and periodontitis (T2DM_P), elderly patients with T2DM alone (T2DM_NP), and healthy volunteers. We identified 34 key gut microbiota markers that distinguished participants with different periodontal conditions and investigated their connections to other gut bacteria, as well as their clinical correlates. The most striking differences in co-occurrence networks between the T2DM_P and T2DM_NP groups comprised interactions involving dominant genera in the oral cavity (i.e., Streptococcus and Veillonella). Of the 34 identified key gut microbiota markers that distinguished participants with different periodontal conditions, 25 taxa were correlated with duration of diabetes, dry mouth or the peripheral levels of pro-inflammatory cytokines (e.g., tumor necrosis factor-α, interferon-γ, prostaglandin E2, interleukin-17, and interleukin-6) and metabolic parameters (e.g., hemoglobin A1c), respectively. Our findings suggest that gut microbial shifts driven by periodontitis may contribute to systemic inflammation and metabolic dysfunction during the progression of T2DM. |
format | Online Article Text |
id | pubmed-7803515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-78035152021-01-15 Periodontitis in elderly patients with type 2 diabetes mellitus: impact on gut microbiota and systemic inflammation Li, Jinyou Lu, Haifeng Wu, Huanwen Huang, Shunmei Chen, Lufang Gui, Qifeng Zhou, Wenjing Yang, Yichen Wu, Yue Zhang, Hua Zhang, Qin Yang, Yunmei Aging (Albany NY) Research Paper Elderly patients with type 2 diabetes mellitus (T2DM) exhibit considerable periodontitis frequency, which causes tooth loss and poor quality of life. To investigate the impact of periodontitis on gut microbiota, we used 16S rRNA amplicon sequencing to characterize the composition and structure of gut microbiota among elderly patients with T2DM and periodontitis (T2DM_P), elderly patients with T2DM alone (T2DM_NP), and healthy volunteers. We identified 34 key gut microbiota markers that distinguished participants with different periodontal conditions and investigated their connections to other gut bacteria, as well as their clinical correlates. The most striking differences in co-occurrence networks between the T2DM_P and T2DM_NP groups comprised interactions involving dominant genera in the oral cavity (i.e., Streptococcus and Veillonella). Of the 34 identified key gut microbiota markers that distinguished participants with different periodontal conditions, 25 taxa were correlated with duration of diabetes, dry mouth or the peripheral levels of pro-inflammatory cytokines (e.g., tumor necrosis factor-α, interferon-γ, prostaglandin E2, interleukin-17, and interleukin-6) and metabolic parameters (e.g., hemoglobin A1c), respectively. Our findings suggest that gut microbial shifts driven by periodontitis may contribute to systemic inflammation and metabolic dysfunction during the progression of T2DM. Impact Journals 2020-11-25 /pmc/articles/PMC7803515/ /pubmed/33234730 http://dx.doi.org/10.18632/aging.202174 Text en Copyright: © 2020 Li et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (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 Li, Jinyou Lu, Haifeng Wu, Huanwen Huang, Shunmei Chen, Lufang Gui, Qifeng Zhou, Wenjing Yang, Yichen Wu, Yue Zhang, Hua Zhang, Qin Yang, Yunmei Periodontitis in elderly patients with type 2 diabetes mellitus: impact on gut microbiota and systemic inflammation |
title | Periodontitis in elderly patients with type 2 diabetes mellitus: impact on gut microbiota and systemic inflammation |
title_full | Periodontitis in elderly patients with type 2 diabetes mellitus: impact on gut microbiota and systemic inflammation |
title_fullStr | Periodontitis in elderly patients with type 2 diabetes mellitus: impact on gut microbiota and systemic inflammation |
title_full_unstemmed | Periodontitis in elderly patients with type 2 diabetes mellitus: impact on gut microbiota and systemic inflammation |
title_short | Periodontitis in elderly patients with type 2 diabetes mellitus: impact on gut microbiota and systemic inflammation |
title_sort | periodontitis in elderly patients with type 2 diabetes mellitus: impact on gut microbiota and systemic inflammation |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7803515/ https://www.ncbi.nlm.nih.gov/pubmed/33234730 http://dx.doi.org/10.18632/aging.202174 |
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