Evidence map›Paper›PMID 35281043›Full record

ArticleFrontiers in immunology2022

Microbiome Resilience and Health Implications for People in Half-Year Travel.

Mingyue Cheng, Hong Liu, Maozhen Han, Shuai Cheng Li, Dongbo Bu, Shiwei Sun, Zhiqiang Hu, Pengshuo Yang, Rui Wang, Yawen Liu and 11 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Antibiotic-perturbed microbiota and the role of probiotics.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  5. Review
  6. Article
  7. 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

21 authors at 7 institutions in 2 countries.

Mingyue ChengKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-Imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Hong LiuKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-Imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Maozhen HanKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-Imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Shuai Cheng LiDepartment of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Dongbo BuKey Lab of Intelligent Information Processing, State Lab of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Shiwei SunKey Lab of Intelligent Information Processing, State Lab of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Zhiqiang HuBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Pengshuo YangKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-Imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Rui WangBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yawen LiuBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Feng ChenBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Jianjun PengBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Hong PengBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Hongxing SongBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Yang XiaBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Liqun ChuBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Quan ZhouBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Feng GuanBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Jing WuBeijing Shijitan Hospital, Capital Medical University, Beijing, China.
Guangming TanKey Lab of Intelligent Information Processing, State Lab of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Kang NingKey Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-Imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.
Beijing Shijitan Hospital · CNHuazhong University of Science and Technology · CNCapital Medical University · CNChinese Academy of Sciences · CNCity University of Hong Kong · HKInstitute of Computing Technology · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Travel entail change in geography and diet, both of which are known as determinant factors in shaping the human gut microbiome. Additionally, altered gut microbiome modulates immunity, bringing about health implications in humans. To explore the effects of the mid-term travel on the gut microbiome, we generated 16S rRNA gene and metagenomic sequencing data from longitudinal samples collected over six months. We monitored dynamic trajectories of the gut microbiome variation of a Chinese volunteer team (VT) in their whole journey to Trinidad and Tobago (TAT). We found gut microbiome resilience that VT's gut microbial compositions gradually transformed to the local TAT's enterotypes during their six-month stay in TAT, and then reverted to their original enterotypes after VT's return to Beijing in one month. Moreover, we identified driven species in this bi-directional plasticity that could play a role in immunity modulation, as exemplified by

Indexed as

Gastrointestinal MicrobiomeCarbohydratesFecesHumansMetagenomicsRNA, Ribosomal, 16SCarbohydratesRNA, Ribosomal, 16Sbi-directional plasticitydietary shiftenterotypehealthimmunitymicrobiomeresiliencetravel

Identifiers

PMID35281043
PMCPMC8907539
OpenAlexW4213420004

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.