Evidence map›Paper›PMID 31127186›Full record

ArticleScientific reports2019

Gut microbiome of pre-adolescent children of two ethnicities residing in three distant cities.

Wei Wei Thwe Khine, Yuwei Zhang, Gerald Jian Yi Goie, Mung Seong Wong, Mintze Liong, Yeong Yeh Lee, Hong Cao, Yuan-Kun Lee

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. [Gut microbiome composition in pre-adolescent children with different meat consumption patterns].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

8 authors.

Wei Wei Thwe KhineDepartment of Microbiology & Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore, 117545, Singapore.
Yuwei ZhangDepartment of Microbiology & Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore, 117545, Singapore.
Gerald Jian Yi GoieDepartment of Microbiology & Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore, 117545, Singapore.
Mung Seong WongSchool of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kota Bharu, Malaysia.
Mintze LiongBioprocess Technology, School of Industrial Technology, Universiti Sains Malaysia, Penang, 11800, Malaysia.
Yeong Yeh LeeSchool of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Kota Bharu, Malaysia.
Hong CaoDepartment of Microbiology, Public Health School, Southern Medical University, Guangzhou, 510515, P. R. China.
Yuan-Kun LeeDepartment of Microbiology & Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore, 117545, Singapore. micleeyk@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have realized the link between gut microbiota and human health and diseases. The question of diet, environment or gene is the determining factor for dominant microbiota and microbiota profile has not been fully resolved, for these comparative studies have been performed on populations of different ethnicities and in short-term intervention studies. Here, the Southern Chinese populations are compared, specifically the children of Guangzhou City (China), Penang City (west coast Malaysia) and Kelantan City (east coast Malaysia). These Chinese people have similar ancestry thus it would allow us to delineate the effect of diet and ethnicity on gut microbiota composition. For comparison, the Penang and Kelantan Malay children were also included. The results revealed that differences in microbiota genera within an ethnicity in different cities was due to differences in food type. Sharing the similar diet but different ethnicity in a city or different cities and living environment showed similar gut microbiota. The major gut microbiota (more than 1% total Operational Taxonomy Units, OTUs) of the children population are largely determined by diet but not ethnicity, environment, and lifestyle. Elucidating the link between diet and microbiota would facilitate the development of strategies to improve human health at a younger age.

Indexed as

Child HealthAsian PeopleBacteriaChildCitiesDNA, BacterialEnvironmental ExposureEthnicityFecesFeeding BehaviorGastrointestinal MicrobiomeHumansLife StyleMaleNutrition SurveysDNA, Bacterial

Identifiers

PMID31127186
PMCPMC6534553

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.