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Composition of salivary microbiota in elderly subjects
Frailty is gaining attention worldwide with the aging of society. Despite the potential lethality and multiple signs and symptoms in affected individuals, preclinical detection of early manifestations leading to frailty syndrome have not been established. We speculated that the composition of the or...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765146/ https://www.ncbi.nlm.nih.gov/pubmed/29323208 http://dx.doi.org/10.1038/s41598-017-18677-0 |
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author | Ogawa, Taiji Hirose, Yujiro Honda-Ogawa, Mariko Sugimoto, Minami Sasaki, Satoshi Kibi, Masahito Kawabata, Shigetada Ikebe, Kazunori Maeda, Yoshinobu |
author_facet | Ogawa, Taiji Hirose, Yujiro Honda-Ogawa, Mariko Sugimoto, Minami Sasaki, Satoshi Kibi, Masahito Kawabata, Shigetada Ikebe, Kazunori Maeda, Yoshinobu |
author_sort | Ogawa, Taiji |
collection | PubMed |
description | Frailty is gaining attention worldwide with the aging of society. Despite the potential lethality and multiple signs and symptoms in affected individuals, preclinical detection of early manifestations leading to frailty syndrome have not been established. We speculated that the composition of the oral microbiota is associated with general frailty, as well as a relationship between gut microbiota and general health condition. In the present study, we investigated the salivary microbiota composition in samples from healthy and frail elderly individuals using 16S rRNA sequencing analysis for characterization. We found a significant difference in diversity between elderly individuals living in a nursing home (EN) and healthy control (HC) subjects, as well as in the microbiota composition at the phyla level. A supervised orthogonal partial least squared discriminant analysis (OPLS-DA) revealed a significant difference in clear classification trend between the EN and HC groups, with all observations falling within the Hotellings T(2) (0.95) ellipse, with model fitness parameters of R (2)(cum) = 0.937 and Q (2)(cum) = 0.888, respectively. In addition, the score plots by unsupervised principal component analysis (PCA) showed a clear classification trend in both groups. Our findings suggest that general frailty is associated with oral microbiota composition and formation. |
format | Online Article Text |
id | pubmed-5765146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57651462018-01-17 Composition of salivary microbiota in elderly subjects Ogawa, Taiji Hirose, Yujiro Honda-Ogawa, Mariko Sugimoto, Minami Sasaki, Satoshi Kibi, Masahito Kawabata, Shigetada Ikebe, Kazunori Maeda, Yoshinobu Sci Rep Article Frailty is gaining attention worldwide with the aging of society. Despite the potential lethality and multiple signs and symptoms in affected individuals, preclinical detection of early manifestations leading to frailty syndrome have not been established. We speculated that the composition of the oral microbiota is associated with general frailty, as well as a relationship between gut microbiota and general health condition. In the present study, we investigated the salivary microbiota composition in samples from healthy and frail elderly individuals using 16S rRNA sequencing analysis for characterization. We found a significant difference in diversity between elderly individuals living in a nursing home (EN) and healthy control (HC) subjects, as well as in the microbiota composition at the phyla level. A supervised orthogonal partial least squared discriminant analysis (OPLS-DA) revealed a significant difference in clear classification trend between the EN and HC groups, with all observations falling within the Hotellings T(2) (0.95) ellipse, with model fitness parameters of R (2)(cum) = 0.937 and Q (2)(cum) = 0.888, respectively. In addition, the score plots by unsupervised principal component analysis (PCA) showed a clear classification trend in both groups. Our findings suggest that general frailty is associated with oral microbiota composition and formation. Nature Publishing Group UK 2018-01-11 /pmc/articles/PMC5765146/ /pubmed/29323208 http://dx.doi.org/10.1038/s41598-017-18677-0 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ogawa, Taiji Hirose, Yujiro Honda-Ogawa, Mariko Sugimoto, Minami Sasaki, Satoshi Kibi, Masahito Kawabata, Shigetada Ikebe, Kazunori Maeda, Yoshinobu Composition of salivary microbiota in elderly subjects |
title | Composition of salivary microbiota in elderly subjects |
title_full | Composition of salivary microbiota in elderly subjects |
title_fullStr | Composition of salivary microbiota in elderly subjects |
title_full_unstemmed | Composition of salivary microbiota in elderly subjects |
title_short | Composition of salivary microbiota in elderly subjects |
title_sort | composition of salivary microbiota in elderly subjects |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765146/ https://www.ncbi.nlm.nih.gov/pubmed/29323208 http://dx.doi.org/10.1038/s41598-017-18677-0 |
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