Evidence map›Paper›PMID 39275313›Full record

ArticleNutrients2024

Revealing Interactions of Gut Microbiota and Metabolite in Confined Environments Using High-Throughput Sequencing and Metabolomic Analysis.

Ziying Wang, Haodan Xu, Xin Song, Zheng Chen, Guangqiang Wang, Yijin Yang, Beiwei Zhu, Lianzhong Ai, Chenxi Liu, Yaxuan Zhang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Ziying WangNaval Medical Center, Naval Medical University, Shanghai 200433, China.
Haodan XuNaval Medical Center, Naval Medical University, Shanghai 200433, China.
Xin SongSchool of Health Science and Engineering, Shanghai Engineering Research Center of Food Microbiology, University of Shanghai for Science and Technology, Shanghai 200093, China.
Zheng ChenSchool of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.
Guangqiang WangSchool of Health Science and Engineering, Shanghai Engineering Research Center of Food Microbiology, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0002-3966-044X
Yijin YangSchool of Health Science and Engineering, Shanghai Engineering Research Center of Food Microbiology, University of Shanghai for Science and Technology, Shanghai 200093, China.
Beiwei ZhuSchool of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.
Lianzhong AiSchool of Health Science and Engineering, Shanghai Engineering Research Center of Food Microbiology, University of Shanghai for Science and Technology, Shanghai 200093, China.
Chenxi LiuNaval Medical Center, Naval Medical University, Shanghai 200433, China.
Yaxuan ZhangNaval Medical Center, Naval Medical University, Shanghai 200433, China.
Yong YangSchool of Health Science and Engineering, Shanghai Engineering Research Center of Food Microbiology, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0001-9410-6655
Chuan WangNaval Medical Center, Naval Medical University, Shanghai 200433, China.
Yongjun XiaSchool of Health Science and Engineering, Shanghai Engineering Research Center of Food Microbiology, University of Shanghai for Science and Technology, Shanghai 200093, China.ORCID 0000-0002-2727-2730

Funding

Logistics research program 22AH0701, 24K0701 24K1101 and 22K0701National Natural Science Foundation of China 82371888National Science Fund for Distinguished Young Scholars 32025029Shanghai Engineering Research Center of food microbiology program 19DZ2281100
6 · The paper itself

Abstract

A confined environment is a special kind of extreme working environment, and prolonged exposure to it tends to increase psychological stress and trigger rhythmic disorders, emotional abnormalities and other phenomena, thus seriously affecting work efficiency. However, the mechanisms through which confined environments affect human health remain unclear. Therefore, this study simulates a strictly controlled confined environment and employs integrative multi-omics techniques to analyze the alterations in gut microbiota and metabolites of workers under such conditions. The aim is to identify metabolic biomarkers and elucidate the relationship between gut microbiota and metabolites. High-throughput sequencing results showed that a confined environment significantly affects gut microbial composition and clusters subjects' gut microbiota into two enterotypes (Bla and Bi). Differences in abundance of genera

Indexed as

BiomarkersGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingMetabolomicsAdultBacteriaFecesHumansMaleMetabolomeBiomarkersbeta-PHENYL-gamma-aminobutyric acidconfined environmentgut microbiotamulti-omics analysisuric acid

Identifiers

PMID39275313
PMCPMC11397237

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.