Evidence map›Paper›PMID 35019672›Full record

ArticleMicrobiology spectrum2022

Interactions between Human Gut Microbiome Dynamics and Sub-Optimal Health Symptoms during Seafaring Expeditions.

Zheng Sun, Meng Zhang, Min Li, Yogendra Bhaskar, Jinshan Zhao, Youran Ji, Hongbing Cui, Heping Zhang, Zhihong Sun

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 21% of its field
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. The gut feeling in motion sickness.Communications biology · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Microbial signatures of neonatal bacterial meningitis from multiple body sites.Frontiers in cellular and infection microbiology · 2023
    Article
  12. 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

9 authors at 4 institutions in 1 country.

Zheng Sun *Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural Universitygrid.411638.9, Huhhot, China.
Meng Zhang *Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural Universitygrid.411638.9, Huhhot, China.
Min Li *Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural Universitygrid.411638.9, Huhhot, China.
Yogendra BhaskarSingle-Cell Center and Shandong Key Laboratory of Energy Genetics, Qingdao Institute of BioEnergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, Shandong, China.
Jinshan ZhaoCollege of Animal Science, Qingdao Universitygrid.410645.2, Qingdao, Shandong, China.
Youran JiMedical Department, 971 Hospital, Qingdao, Shandong, China.
Hongbing CuiDepartment of Emergency, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, Shandong, China.
Heping ZhangKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural Universitygrid.411638.9, Huhhot, China.
Zhihong SunKey Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural Universitygrid.411638.9, Huhhot, China.ORCID 0000-0002-7605-2048
Inner Mongolia Agricultural University · CNQingdao Institute of Bioenergy and Bioprocess Technology · CNQingdao University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During long ocean voyages, crew members are subject to complex pressures from their living and working environment, which lead to chronic diseases-like sub-optimal health status. Although the association between dysbiotic gut microbiome and chronic diseases has been broadly reported, the correlation between the sub-optimal health status and gut microbiome remains elusive. Here, the health status of 77 crew members (20-35 years old Chinese, male) during a 135-day sea expedition was evaluated using the shotgun metagenomics of stool samples and health questionnaires taken before and after the voyage. We found five core symptoms (e.g., abnormal defecation frequency, insomnia, poor sleep quality, nausea, and overeating) in 55 out of 77 crew members suffering from sub-optimal health status, and this was termed "seafaring syndrome" (SS) in this study. Significant correlation was found between the gut microbiome and SS rather than any single symptom. For example, SS was proven to be associated with individual perturbation in the gut microbiome, and the microbial dynamics between SS and non-SS samples were different during the voyage. Moreover, the microbial signature for SS was identified using the variation of 19 bacterial species and 26 gene families. Furthermore, using a Random Forest model, SS was predicted with high accuracy (84.4%, area under the concentration-time curve = 0.91) based on 28 biomarkers from pre-voyage samples, and the prediction model was further validated by another 30-day voyage cohort (accuracy = 83.3%). The findings in this study provide insights to help us discover potential predictors or even therapeutic targets for dysbiosis-related diseases.

Indexed as

ExpeditionsGastrointestinal MicrobiomeHealth StatusAdultBacteriaCohort StudiesDietFecesHumansMaleMetagenomicsMicrobiotaMilitary PersonnelYoung Adultgut microbiomeocean going voyageprediction modelseafaring syndromesub-optimal health

Identifiers

PMID35019672
PMCPMC8754112
OpenAlexW4205856152

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.