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


Journal

Microbiome
ISSN: 2049-2618
Titre abrégé: Microbiome
Pays: England
ID NLM: 101615147

Informations de publication

Date de publication:
04 01 2019
Historique:
received: 26 07 2018
accepted: 26 11 2018
entrez: 6 1 2019
pubmed: 6 1 2019
medline: 16 4 2019
Statut: epublish

Résumé

The 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. Taking 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. Our 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.

Sections du résumé

BACKGROUND
The 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.
RESULTS
Taking 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.
CONCLUSIONS
Our 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.

Identifiants

pubmed: 30609941
doi: 10.1186/s40168-018-0608-z
pii: 10.1186/s40168-018-0608-z
pmc: PMC6320620
doi:

Substances chimiques

Dietary Fiber 0
Fatty Acids, Nonesterified 0
Insulin 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2

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Auteurs

Huanzi Zhong (H)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.
Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark.

John Penders (J)

Department 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 Shi (Z)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Huahui Ren (H)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Kaiye Cai (K)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Chao Fang (C)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.
Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark.

Qiuxia Ding (Q)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Carel Thijs (C)

Department of Epidemiology, Care and Public Health Research Institute CAPHRI, Maastricht University, Maastricht, the Netherlands.

Ellen E Blaak (EE)

Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, the Netherlands.

Coen D A Stehouwer (CDA)

Department of Internal Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands.

Xun Xu (X)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.

Huanming Yang (H)

BGI-Shenzhen, Shenzhen, 518083, China.
James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China.

Jian Wang (J)

BGI-Shenzhen, Shenzhen, 518083, China.
James D. Watson Institute of Genome Sciences, Hangzhou, 310058, China.

Jun Wang (J)

BGI-Shenzhen, Shenzhen, 518083, China.

Daisy M A E Jonkers (DMAE)

Division of Gastroenterology-Hepatology, Department of Internal Medicine, NUTRIM School of Nutrition, Toxicology and Metabolism, Maastricht University Medical Centre, Maastricht, the Netherlands.

Ad A M Masclee (AAM)

Division of Gastroenterology-Hepatology, Department of Internal Medicine, NUTRIM School of Nutrition, Toxicology and Metabolism, Maastricht University Medical Centre, Maastricht, the Netherlands.

Susanne Brix (S)

Department of Biotechnology and Biomedicine, Technical University of Denmark, Soltofts Plads, 2800, Kongens Lyngby, Denmark.

Junhua Li (J)

BGI-Shenzhen, Shenzhen, 518083, China.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China.
School of Bioscience and Biotechnology, South China University of Technology, Guangzhou, 510006, China.

Ilja C W Arts (ICW)

Maastricht Centre for Systems Biology (MaCSBio) & Department of Epidemiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands. ilja.arts@maastrichtuniversity.nl.

Karsten Kristiansen (K)

BGI-Shenzhen, Shenzhen, 518083, China. kk@bio.ku.dk.
China National GeneBank, BGI-Shenzhen, Shenzhen, 518120, China. kk@bio.ku.dk.
Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen, 2100, Copenhagen, Denmark. kk@bio.ku.dk.

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Classifications MeSH