Evidence map›Paper›PMID 37660184›Full record

ArticleScientific reports2023

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

Yi Ren, Jiawei Wu, Yilin Wang, Lanying Zhang, Jing Ren, Zhiming Zhang, Binghan Chen, Kejian Zhang, Baoli Zhu, Wei Liu and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yi RenCoyote Bioscience (Beijing) Co., Ltd., Beijing, China.
Jiawei WuCoyote Bioscience (Beijing) Co., Ltd., Beijing, China.
Yilin WangCoyote Bioscience (Beijing) Co., Ltd., Beijing, China.
Lanying ZhangCoyote Diagnostics Lab (Beijing) Co., Ltd., Beijing, China.
Jing RenCoyote Bioscience (Beijing) Co., Ltd., Beijing, China.
Zhiming ZhangCoyote Bioscience (Beijing) Co., Ltd., Beijing, China.
Binghan ChenCoyote Bioscience (Beijing) Co., Ltd., Beijing, China.
Kejian ZhangCoyote Bioscience (Beijing) Co., Ltd., Beijing, China.
Baoli ZhuCoyote Bioscience (Beijing) Co., Ltd., Beijing, China.
Wei LiuState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China. lwbime@163.com.
Sabrina LiCoyote Bioscience (Beijing) Co., Ltd., Beijing, China. sabrina@coyotebio.com.
Xu LiCoyote Bioscience (Beijing) Co., Ltd., Beijing, China. tclxcccc@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Gastrointestinal MicrobiomeLife StyleBacteroidesCohort StudiesEast Asian PeopleFecesHealthy VolunteersHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID37660184
PMCPMC10475076

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.