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The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young
The microbiota of the aged is variously described as being more or less diverse than that of younger cohorts, but the comparison groups used and the definitions of the aged population differ between experiments. The differences are often described by null hypothesis statistical tests, which are noto...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615133/ https://www.ncbi.nlm.nih.gov/pubmed/28959739 http://dx.doi.org/10.1128/mSphere.00327-17 |
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author | Bian, Gaorui Gloor, Gregory B. Gong, Aihua Jia, Changsheng Zhang, Wei Hu, Jun Zhang, Hong Zhang, Yumei Zhou, Zhenqing Zhang, Jiangao Burton, Jeremy P. Reid, Gregor Xiao, Yongliang Zeng, Qiang Yang, Kaiping Li, Jiangang |
author_facet | Bian, Gaorui Gloor, Gregory B. Gong, Aihua Jia, Changsheng Zhang, Wei Hu, Jun Zhang, Hong Zhang, Yumei Zhou, Zhenqing Zhang, Jiangao Burton, Jeremy P. Reid, Gregor Xiao, Yongliang Zeng, Qiang Yang, Kaiping Li, Jiangang |
author_sort | Bian, Gaorui |
collection | PubMed |
description | The microbiota of the aged is variously described as being more or less diverse than that of younger cohorts, but the comparison groups used and the definitions of the aged population differ between experiments. The differences are often described by null hypothesis statistical tests, which are notoriously irreproducible when dealing with large multivariate samples. We collected and examined the gut microbiota of a cross-sectional cohort of more than 1,000 very healthy Chinese individuals who spanned ages from 3 to over 100 years. The analysis of 16S rRNA gene sequencing results used a compositional data analysis paradigm coupled with measures of effect size, where ordination, differential abundance, and correlation can be explored and analyzed in a unified and reproducible framework. Our analysis showed several surprising results compared to other cohorts. First, the overall microbiota composition of the healthy aged group was similar to that of people decades younger. Second, the major differences between groups in the gut microbiota profiles were found before age 20. Third, the gut microbiota differed little between individuals from the ages of 30 to >100. Fourth, the gut microbiota of males appeared to be more variable than that of females. Taken together, the present findings suggest that the microbiota of the healthy aged in this cross-sectional study differ little from that of the healthy young in the same population, although the minor variations that do exist depend upon the comparison cohort. IMPORTANCE We report the large-scale use of compositional data analysis to establish a baseline microbiota composition in an extremely healthy cohort of the Chinese population. This baseline will serve for comparison for future cohorts with chronic or acute disease. In addition to the expected difference in the microbiota of children and adults, we found that the microbiota of the elderly in this population was similar in almost all respects to that of healthy people in the same population who are scores of years younger. We speculate that this similarity is a consequence of an active healthy lifestyle and diet, although cause and effect cannot be ascribed in this (or any other) cross-sectional design. One surprising result was that the gut microbiota of persons in their 20s was distinct from those of other age cohorts, and this result was replicated, suggesting that it is a reproducible finding and distinct from those of other populations. |
format | Online Article Text |
id | pubmed-5615133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-56151332017-09-28 The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young Bian, Gaorui Gloor, Gregory B. Gong, Aihua Jia, Changsheng Zhang, Wei Hu, Jun Zhang, Hong Zhang, Yumei Zhou, Zhenqing Zhang, Jiangao Burton, Jeremy P. Reid, Gregor Xiao, Yongliang Zeng, Qiang Yang, Kaiping Li, Jiangang mSphere Research Article The microbiota of the aged is variously described as being more or less diverse than that of younger cohorts, but the comparison groups used and the definitions of the aged population differ between experiments. The differences are often described by null hypothesis statistical tests, which are notoriously irreproducible when dealing with large multivariate samples. We collected and examined the gut microbiota of a cross-sectional cohort of more than 1,000 very healthy Chinese individuals who spanned ages from 3 to over 100 years. The analysis of 16S rRNA gene sequencing results used a compositional data analysis paradigm coupled with measures of effect size, where ordination, differential abundance, and correlation can be explored and analyzed in a unified and reproducible framework. Our analysis showed several surprising results compared to other cohorts. First, the overall microbiota composition of the healthy aged group was similar to that of people decades younger. Second, the major differences between groups in the gut microbiota profiles were found before age 20. Third, the gut microbiota differed little between individuals from the ages of 30 to >100. Fourth, the gut microbiota of males appeared to be more variable than that of females. Taken together, the present findings suggest that the microbiota of the healthy aged in this cross-sectional study differ little from that of the healthy young in the same population, although the minor variations that do exist depend upon the comparison cohort. IMPORTANCE We report the large-scale use of compositional data analysis to establish a baseline microbiota composition in an extremely healthy cohort of the Chinese population. This baseline will serve for comparison for future cohorts with chronic or acute disease. In addition to the expected difference in the microbiota of children and adults, we found that the microbiota of the elderly in this population was similar in almost all respects to that of healthy people in the same population who are scores of years younger. We speculate that this similarity is a consequence of an active healthy lifestyle and diet, although cause and effect cannot be ascribed in this (or any other) cross-sectional design. One surprising result was that the gut microbiota of persons in their 20s was distinct from those of other age cohorts, and this result was replicated, suggesting that it is a reproducible finding and distinct from those of other populations. American Society for Microbiology 2017-09-27 /pmc/articles/PMC5615133/ /pubmed/28959739 http://dx.doi.org/10.1128/mSphere.00327-17 Text en Copyright © 2017 Bian et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Bian, Gaorui Gloor, Gregory B. Gong, Aihua Jia, Changsheng Zhang, Wei Hu, Jun Zhang, Hong Zhang, Yumei Zhou, Zhenqing Zhang, Jiangao Burton, Jeremy P. Reid, Gregor Xiao, Yongliang Zeng, Qiang Yang, Kaiping Li, Jiangang The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young |
title | The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young |
title_full | The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young |
title_fullStr | The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young |
title_full_unstemmed | The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young |
title_short | The Gut Microbiota of Healthy Aged Chinese Is Similar to That of the Healthy Young |
title_sort | gut microbiota of healthy aged chinese is similar to that of the healthy young |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615133/ https://www.ncbi.nlm.nih.gov/pubmed/28959739 http://dx.doi.org/10.1128/mSphere.00327-17 |
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