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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |
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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 |
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