4.7 Article

Long-term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood

Journal

AMERICAN JOURNAL OF CLINICAL NUTRITION
Volume 113, Issue 3, Pages 647-656

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/ajcn/nqaa340

Keywords

long-term diet; carbohydrate intake; 3-day weighed dietary records; gut microbiota composition; Phascolardobacterium; Dialister; Desulfovibrio; DONALD study

Funding

  1. Metabolic HEALTH through nutrition, microbiota and tryptophan bioMARKers (HEALTHMARK) project through the Federal Ministry of Education and Research, Germany [01EA1705A]
  2. Science Foundation Ireland, Ireland [16/ERA-HDHL/3362]
  3. Diet-Body-Brain Competence Cluster in Nutrition Research - FederalMinistry of Education and Research [FKZ: 01EA1809A]
  4. Ministry of Science and Research of North Rhine Westphalia, Germany
  5. Science Foundation Ireland (SFI) [16/ERA-HDHL/3362] Funding Source: Science Foundation Ireland (SFI)

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The study found an association between long-term carbohydrate intake and microbiota composition, which could inform the development of gut microbiota-targeted dietary recommendations for disease prevention.
Background: Gut microbiota composition as influenced by longterm diet may be associated with the risk of adult chronic diseases. Thus, establishing the relation of long-term diet, particularly starting from early life, with adult microbiota composition would be an important research advance. Objective: We aimed to investigate the association of long-term intake of energy, carbohydrate. fiber, protein, and fat from infancy to late adolescence with microbiota composition in adulthood. Methods: Within the prospective DOrtmund Nutritional and Anthropometric Longitudinally Designed (DONALD) Study, we sampled stool 1 or 2 times within 1 y from 128 adults (median age: 29 y). Microbiota composition was profiled by 16S ribosomal RNA sequencing. Annual dietary records from age 1 to 18 y were retrieved. We estimated trajectories of energy, energy-adjusted carbohydrate, fiber, protein, and fat intake with multilevel models, producing predicted intake at age 1 y and rates of change in intake. A multivariate, zero-inflated. logistic-normal model was used to model the association between intake trajectories and the composition of 158 genera in single-sampled individuals. Associations found in this model were confirmed in double-sampled individuals using a zeroinflated Beta regression model. Results: Adjusting for covariates and temporal differences in microbiota composition, long-term carbohydrate intake was associated with 3 genera. Specifically, carbohydrate intake at age 1 y was negatively associated with Phascolarriolmxieriutn [coefficient = -4.31; false discovery rate (FDR)-adjusted P = 0.006] and positively associated with Dialister (coefficient = 3.06; FDR-adjusted P = 0.003), and the rate of change in carbohydrate intake was positively associated with Desulfovibrio (coefficient = 13.16; FDR-adjusted P = 0.00039). Energy and other macronutrients were not associated with any genus. Conclusions: This work links long-term carbohydrate intake to microbiota composition. Considering the associations of high carbohydrate intake and microbiota composition with some diseases. these findings could inform the development of gut microbiota-targeted dietary recommendations for disease prevention.

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