Cargando…

Lifestyle patterns influence the composition of the gut microbiome in a healthy Chinese population

High-throughput sequencing allows for the comprehensive analysis of the human intestinal microbiota. However, extensive association analyses between the microbiome and lifestyle differences in the Chinese population are limited. Here, we carried out an independent cohort study—the Chinese Healthy Gu...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Yi, Wu, Jiawei, Wang, Yilin, Zhang, Lanying, Ren, Jing, Zhang, Zhiming, Chen, Binghan, Zhang, Kejian, Zhu, Baoli, Liu, Wei, Li, Sabrina, Li, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475076/
https://www.ncbi.nlm.nih.gov/pubmed/37660184
http://dx.doi.org/10.1038/s41598-023-41532-4
_version_ 1785100641332363264
author Ren, Yi
Wu, Jiawei
Wang, Yilin
Zhang, Lanying
Ren, Jing
Zhang, Zhiming
Chen, Binghan
Zhang, Kejian
Zhu, Baoli
Liu, Wei
Li, Sabrina
Li, Xu
author_facet Ren, Yi
Wu, Jiawei
Wang, Yilin
Zhang, Lanying
Ren, Jing
Zhang, Zhiming
Chen, Binghan
Zhang, Kejian
Zhu, Baoli
Liu, Wei
Li, Sabrina
Li, Xu
author_sort Ren, Yi
collection PubMed
description High-throughput sequencing allows for the comprehensive analysis of the human intestinal microbiota. However, extensive association analyses between the microbiome and lifestyle differences in the Chinese population are limited. Here, we carried out an independent cohort study—the Chinese Healthy Gut Project (n = 483)—where correlations between the gut microbiota and dietary and lifestyle variables in a healthy Chinese population are defined. We collected both questionnaire data, including basic information and lifestyle and dietary variables, and fecal stools from the enrolled volunteers. We then performed 16S rRNA sequencing on the microbial DNA isolated from the stools to assess the composition of the intestinal microbiota. We found that Prevotella and Bacteroides were the most abundant genera in the healthy Chinese gut microbiome. Additionally, 9 out of 29 clinical and questionnaire-based phenotype covariates were found to be associated with the variation in the composition of the gut microbiota. Among these lifestyle phenotypes, sleep procrastination, negative mood, and drinking habits had the largest effect size. Additionally, an appreciable effect of urbanization was observed, resulting in decreased intra-individual diversity, increased inter-individual diversity, and an increased abundance of the Bacteroides enterotype. The results of this study provide a foundation for assessing the healthy Chinese gut microbiota community structure at baseline in a healthy Chinese population. Furthermore, this study also provides insights into understanding how distinctive living habits influence the relationships between the Chinese gut microbiome and systemic health state.
format Online
Article
Text
id pubmed-10475076
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-104750762023-09-04 Lifestyle patterns influence the composition of the gut microbiome in a healthy Chinese population Ren, Yi Wu, Jiawei Wang, Yilin Zhang, Lanying Ren, Jing Zhang, Zhiming Chen, Binghan Zhang, Kejian Zhu, Baoli Liu, Wei Li, Sabrina Li, Xu Sci Rep Article High-throughput sequencing allows for the comprehensive analysis of the human intestinal microbiota. However, extensive association analyses between the microbiome and lifestyle differences in the Chinese population are limited. Here, we carried out an independent cohort study—the Chinese Healthy Gut Project (n = 483)—where correlations between the gut microbiota and dietary and lifestyle variables in a healthy Chinese population are defined. We collected both questionnaire data, including basic information and lifestyle and dietary variables, and fecal stools from the enrolled volunteers. We then performed 16S rRNA sequencing on the microbial DNA isolated from the stools to assess the composition of the intestinal microbiota. We found that Prevotella and Bacteroides were the most abundant genera in the healthy Chinese gut microbiome. Additionally, 9 out of 29 clinical and questionnaire-based phenotype covariates were found to be associated with the variation in the composition of the gut microbiota. Among these lifestyle phenotypes, sleep procrastination, negative mood, and drinking habits had the largest effect size. Additionally, an appreciable effect of urbanization was observed, resulting in decreased intra-individual diversity, increased inter-individual diversity, and an increased abundance of the Bacteroides enterotype. The results of this study provide a foundation for assessing the healthy Chinese gut microbiota community structure at baseline in a healthy Chinese population. Furthermore, this study also provides insights into understanding how distinctive living habits influence the relationships between the Chinese gut microbiome and systemic health state. Nature Publishing Group UK 2023-09-02 /pmc/articles/PMC10475076/ /pubmed/37660184 http://dx.doi.org/10.1038/s41598-023-41532-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ren, Yi
Wu, Jiawei
Wang, Yilin
Zhang, Lanying
Ren, Jing
Zhang, Zhiming
Chen, Binghan
Zhang, Kejian
Zhu, Baoli
Liu, Wei
Li, Sabrina
Li, Xu
Lifestyle patterns influence the composition of the gut microbiome in a healthy Chinese population
title Lifestyle patterns influence the composition of the gut microbiome in a healthy Chinese population
title_full Lifestyle patterns influence the composition of the gut microbiome in a healthy Chinese population
title_fullStr Lifestyle patterns influence the composition of the gut microbiome in a healthy Chinese population
title_full_unstemmed Lifestyle patterns influence the composition of the gut microbiome in a healthy Chinese population
title_short Lifestyle patterns influence the composition of the gut microbiome in a healthy Chinese population
title_sort lifestyle patterns influence the composition of the gut microbiome in a healthy chinese population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475076/
https://www.ncbi.nlm.nih.gov/pubmed/37660184
http://dx.doi.org/10.1038/s41598-023-41532-4
work_keys_str_mv AT renyi lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT wujiawei lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT wangyilin lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT zhanglanying lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT renjing lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT zhangzhiming lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT chenbinghan lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT zhangkejian lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT zhubaoli lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT liuwei lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT lisabrina lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation
AT lixu lifestylepatternsinfluencethecompositionofthegutmicrobiomeinahealthychinesepopulation