Evidence map›Paper›PMID 30609941›Full record

ArticleMicrobiome2019

Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children.

Huanzi Zhong, John Penders, Zhun Shi, Huahui Ren, Kaiye Cai, Chao Fang, Qiuxia Ding, Carel Thijs, Ellen E Blaak, Coen D A Stehouwer and 10 more

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 6 pooled it
11.1field-weighted citation impact, top 1% 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

117 citing papers in PubMed, 6 syntheses or guidelines pooled it, 219 citations in OpenAlex.

  1. Pooled it
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  5. Diet, adiposity, and the gut microbiota from infancy to adolescence: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2021
    Pooled it
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  7. Trial
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  10. Integrative analysis of the intestinal metabolome of childhood asthma.The Journal of allergy and clinical immunology · 2019
    Trial
  11. Article
  12. Review
  13. A Review on the Molecular Dynamics of EnterotypeInternational journal of molecular sciences · 2026
    Review
  14. Article
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  19. Article
  20. Observational

57 more citing papers are in PubMed but not listed here.

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

20 authors at 6 institutions in 3 countries.

Huanzi ZhongBGI-Shenzhen, Shenzhen, 518083, China.
John PendersDepartment of Medical Microbiology, NUTRIM School of Nutrition and Translational Research in Metabolism & Care and Public Health Research Institute CAPHRI, Maastricht University Medical Centre, Maastricht, the Netherlands.
Zhun ShiBGI-Shenzhen, Shenzhen, 518083, China.
Huahui RenBGI-Shenzhen, Shenzhen, 518083, China.
Kaiye CaiBGI-Shenzhen, Shenzhen, 518083, China.
Chao FangBGI-Shenzhen, Shenzhen, 518083, China.
Qiuxia DingBGI-Shenzhen, Shenzhen, 518083, China.
Carel ThijsDepartment of Epidemiology, Care and Public Health Research Institute CAPHRI, Maastricht University, Maastricht, the Netherlands.
Ellen E BlaakDepartment of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, the Netherlands.
Coen D A StehouwerDepartment of Internal Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands.
Xun XuBGI-Shenzhen, Shenzhen, 518083, China.
Huanming YangBGI-Shenzhen, Shenzhen, 518083, China.
Jian WangBGI-Shenzhen, Shenzhen, 518083, China.
Jun WangBGI-Shenzhen, Shenzhen, 518083, China.
Daisy M A E JonkersDivision of Gastroenterology-Hepatology, Department of Internal Medicine, NUTRIM School of Nutrition, Toxicology and Metabolism, Maastricht University Medical Centre, Maastricht, the Netherlands.
Ad A M MascleeDivision of Gastroenterology-Hepatology, Department of Internal Medicine, NUTRIM School of Nutrition, Toxicology and Metabolism, Maastricht University Medical Centre, Maastricht, the Netherlands.
Susanne BrixDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Soltofts Plads, 2800, Kongens Lyngby, Denmark.
Junhua LiBGI-Shenzhen, Shenzhen, 518083, China.
Ilja C W ArtsMaastricht Centre for Systems Biology (MaCSBio) & Department of Epidemiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands. ilja.arts@maastrichtuniversity.nl.
Karsten KristiansenBGI-Shenzhen, Shenzhen, 518083, China. kk@bio.ku.dk.
BGI Group (China) · CNMaastricht University Medical Centre · NLChina National GeneBank · CNMaastricht University · NLSouth China University of Technology · CNTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gut microbiota evolves from birth and is in early life influenced by events such as birth mode, type of infant feeding, and maternal and infant antibiotics use. However, we still have a gap in our understanding of gut microbiota development in older children, and to what extent early events and pre-school lifestyle modulate the composition of the gut microbiota, and how this impinges on whole body metabolic regulation in school-age children.

resultsTaking advantage of the KOALA Birth Cohort Study, a long-term prospective birth cohort in the Netherlands with extensive collection of high-quality host metadata, we applied shotgun metagenomics sequencing and systematically investigated the gut microbiota of children at 6-9 years of age. We demonstrated an overall adult-like gut microbiota in the 281 Dutch school-age children and identified 3 enterotypes dominated by the genera Bacteroides, Prevotella, and Bifidobacterium, respectively. Importantly, we found that breastfeeding duration in early life and pre-school dietary lifestyle correlated with the composition and functional competences of the gut microbiota in the children at school age. The correlations between pre-school dietary lifestyle and metabolic phenotypes exhibited a striking enterotype dependency. Thus, an inverse correlation between high dietary fiber consumption and low plasma insulin levels was only observed in individuals with the Bacteroides and Prevotella enterotypes, but not in Bifidobacterium enterotype individuals in whom the gut microbiota displayed overall lower microbial gene richness, alpha-diversity, functional potential for complex carbohydrate fermentation, and butyrate and succinate production. High total fat consumption and elevated plasma free fatty acid levels in the Bifidobacterium enterotype are associated with the co-occurrence of Streptococcus.

conclusionsOur work highlights the persistent effects of breastfeeding duration and pre-school dietary lifestyle in affecting the gut microbiota in school-age children and reveals distinct compositional and functional potential in children according to enterotypes. The findings underscore enterotype-specific links between the host metabolic phenotypes and dietary patterns, emphasizing the importance of microbiome-based stratification when investigating metabolic responses to diets. Future diet intervention studies are clearly warranted to examine gut microbe-diet-host relationships to promote knowledge-based recommendations in relation to improving metabolic health in children.

Indexed as

BacteriaBreast FeedingChildChild Nutritional Physiological PhenomenaDietary FiberFatty Acids, NonesterifiedFecesGastrointestinal TractHumansInsulinLife StyleMaleMetagenomicsPhenotypePhylogenyProspective StudiesDietary FiberFatty Acids, NonesterifiedInsulinEnterotypeGut microbiotaMetabolic phenotypesSchool-age children

Identifiers

PMID30609941
PMCPMC6320620
OpenAlexW2908338457

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.