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Metabolic pathway prediction of core microbiome based on enterotype and orotype
INTRODUCTION: Identification of key microbiome components has been suggested to help address the maintenance of oral and intestinal health in humans. The core microbiome is similar in all individuals, whereas the diverse microbiome varies across individuals, based on their unique lifestyles and phen...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325833/ https://www.ncbi.nlm.nih.gov/pubmed/37424791 http://dx.doi.org/10.3389/fcimb.2023.1173085 |
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author | Lee, Song Hee Lee, Han You, Hee Sang Sung, Ho-joong Hyun, Sung Hee |
author_facet | Lee, Song Hee Lee, Han You, Hee Sang Sung, Ho-joong Hyun, Sung Hee |
author_sort | Lee, Song Hee |
collection | PubMed |
description | INTRODUCTION: Identification of key microbiome components has been suggested to help address the maintenance of oral and intestinal health in humans. The core microbiome is similar in all individuals, whereas the diverse microbiome varies across individuals, based on their unique lifestyles and phenotypic and genotypic determinants. In this study, we aimed to predict the metabolism of core microorganisms in the gut and oral environment based on enterotyping and orotyping. MATERIALS AND METHODS: Gut and oral samples were collected from 83 Korean women aged 50 years or older. The extracted DNA was subjected to next-generation sequencing analysis of 16S rRNA hypervariable regions V3–V4. RESULTS: Gut bacteria were clustered into three enterotypes, while oral bacteria were clustered into three orotypes. Sixty-three of the core microbiome between the gut and oral population were correlated, and different metabolic pathways were predicted for each type. Eubacterium_g11, Actinomyces, Atopobium, and Enterococcus were significantly positively correlated between the gut and oral abundance. The four bacteria were classified as type 3 in orotype and type 2 in enterotype. CONCLUSION: Overall, the study suggested that collapsing the human body’s multidimensional microbiome into a few categories may help characterize the microbiomes better and address health issues more deeply. |
format | Online Article Text |
id | pubmed-10325833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103258332023-07-07 Metabolic pathway prediction of core microbiome based on enterotype and orotype Lee, Song Hee Lee, Han You, Hee Sang Sung, Ho-joong Hyun, Sung Hee Front Cell Infect Microbiol Cellular and Infection Microbiology INTRODUCTION: Identification of key microbiome components has been suggested to help address the maintenance of oral and intestinal health in humans. The core microbiome is similar in all individuals, whereas the diverse microbiome varies across individuals, based on their unique lifestyles and phenotypic and genotypic determinants. In this study, we aimed to predict the metabolism of core microorganisms in the gut and oral environment based on enterotyping and orotyping. MATERIALS AND METHODS: Gut and oral samples were collected from 83 Korean women aged 50 years or older. The extracted DNA was subjected to next-generation sequencing analysis of 16S rRNA hypervariable regions V3–V4. RESULTS: Gut bacteria were clustered into three enterotypes, while oral bacteria were clustered into three orotypes. Sixty-three of the core microbiome between the gut and oral population were correlated, and different metabolic pathways were predicted for each type. Eubacterium_g11, Actinomyces, Atopobium, and Enterococcus were significantly positively correlated between the gut and oral abundance. The four bacteria were classified as type 3 in orotype and type 2 in enterotype. CONCLUSION: Overall, the study suggested that collapsing the human body’s multidimensional microbiome into a few categories may help characterize the microbiomes better and address health issues more deeply. Frontiers Media S.A. 2023-06-22 /pmc/articles/PMC10325833/ /pubmed/37424791 http://dx.doi.org/10.3389/fcimb.2023.1173085 Text en Copyright © 2023 Lee, Lee, You, Sung and Hyun https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Lee, Song Hee Lee, Han You, Hee Sang Sung, Ho-joong Hyun, Sung Hee Metabolic pathway prediction of core microbiome based on enterotype and orotype |
title | Metabolic pathway prediction of core microbiome based on enterotype and orotype |
title_full | Metabolic pathway prediction of core microbiome based on enterotype and orotype |
title_fullStr | Metabolic pathway prediction of core microbiome based on enterotype and orotype |
title_full_unstemmed | Metabolic pathway prediction of core microbiome based on enterotype and orotype |
title_short | Metabolic pathway prediction of core microbiome based on enterotype and orotype |
title_sort | metabolic pathway prediction of core microbiome based on enterotype and orotype |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10325833/ https://www.ncbi.nlm.nih.gov/pubmed/37424791 http://dx.doi.org/10.3389/fcimb.2023.1173085 |
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