Cited by 61Gut microbiota and healthNutritional Studies and DietInfant Nutrition and Health

Fecal microbiome composition and stability in 4- to 8-year old children is associated with dietary patterns and nutrient intake

Berding, Kirsten, Holscher, Hannah D., Arthur, Anna E., Donovan, Sharon M.·2018·The Journal of Nutritional Biochemistry

Abstract

How long-term dietary intake shapes microbiota composition and stability in young children is poorly understood. Herein, the temporal variability in stool microbiota composition in relation to habitual dietary patterns of 4- to 8-year-old children (n=22) was investigated. Fecal samples were collected at baseline, 6 weeks and 6 months. Bacterial composition and volatile fatty acids were assessed by 16S rRNA sequencing and gas-chromatography, respectively. Nutrient intake was assessed using 3-day food diaries and dietary patterns were empirically derived from a food frequency questionnaire. Using a factor loading of >0.45 for a food group to be a major contributor to the overall dietary pattern, two dietary patterns were found to be associated with distinct microbiome composition. Dietary Pattern 1 (DP1), characterized by intake of fish, protein foods, refined carbohydrates, vegetables, fruit, juice and sweetened beverages, kid's meals and snacks and sweets, was associated with higher relative abundance of Bacteroidetes, Bacteroides and Ruminococcus and lower abundance of Bifidobacterium, Prevotella, Blautia and Roseburia. Dietary Pattern 2 (DP2), characterized by intake of grains, dairy and legumes, nuts and seeds, was associated with higher relative abundance of Cyanobacteria and Phascolarctobacterium and lower abundance of Dorea and Eubacterium. Fruit and starchy foods were present in both patterns, but were more associated with DP1 and DP2, respectively. Temporal stability of microbiota over a 6-month period was associated with baseline dietary patterns. Understanding how dietary intake contributes to microbiota composition and stability in early life in important for dietary recommendations and designing clinical interventions for microbiota-associated diseases.

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Crossref · 10.1016/j.jnutbio.2018.01.002

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  • In a population of 4 to 8-year-old children (n = 22), Berding et al. found distinct differences in microbial composition for two habitual dietary patterns.

    “Likewise, in a population of 4 to 8-year-old children (n = 22), Berding et al. found distinct differences in microbial composition for two habitual dietary patterns [99].”
  • A dietary pattern associated with grains, dairy, legumes, nuts and seeds was associated with higher relative abundance of Cyanobacteria and Phascolarctobacterium and a lower abundance of Dorea and Eubacterium.

    “A dietary pattern associated with grains, dairy, legumes, nuts and seeds, however, was shown to be associated with higher relative abundance of Cyanobacteria and Phascolarctobacterium and a lower abundance of Dorea and Eubacterium [99].”

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Authors
Berding, K., Holscher, H. D., Arthur, A. E., & Donovan, S. M.
Affiliations
  • University of Illinois Urbana-Champaign (US)
  • Carle Foundation Hospital (US)
Corresponding author
Donovan, Sharon M.
Venue
The Journal of Nutritional Biochemistry
Publisher
Elsevier BV
Published
2018-06
Volume
56
Pages
165-174
ISSN
0955-2863 (ISSN-L)
OpenAlex
W2790174111
Cited by
61
References
69
Citations by year
2026: 5 · 2025: 3 · 2024: 9 · 2023: 5 · 2022: 4 · 2021: 12 · 2020: 11 · 2019: 9 · 2018: 3
FWCI
3.11
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Nutritional Biochemistry (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
  • Health Sciences › Nursing › Nutrition and Dietetics › Infant Nutrition and Health
Keywords
fecal microbiota, gut microbiota composition, microbiome stability, dietary habits, children, nutrient intake, volatile fatty acids, Bacteroidetes, Bifidobacterium, Phascolarctobacterium, cyanobacteria, temporal variation, early life nutrition
MeSH terms
Gastrointestinal Microbiome, Nutrients, Cyanobacteria, Bifidobacterium, Energy Intake, Child, Child, Preschool, Chromatography, Gas, Dairy Products, Diet, Dietary Fats, Dietary Fiber, Dietary Proteins, Fatty Acids, Volatile, Feces, Female, Fish Products, Fruit, Humans, Male, Nuts, Surveys and Questionnaires, RNA, Ribosomal, 16S, Seeds, Vegetables

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