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

• Published in: The American journal of clinical nutrition Vol. 113; no. 3; pp. 647 - 656
• Main Authors: Oluwagbemigun, Kolade, O’Donovan, Aoife N, Berding, Kirsten, Lyons, Katriona, Alexy, Ute, Schmid, Matthias, Clarke, Gerard, Stanton, Catherine, Cryan, John, Nöthlings, Ute
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-03-2021; Oxford University Press; American Society for Clinical Nutrition, Inc
• Subjects: 3-day weighed dietary records; Adolescent; Adolescents; Adult; Adults; Age; Aging; Bacteria - classification; Bacteria - genetics; carbohydrate intake; Carbohydrates; Child; Child development; Child Nutritional Physiological Phenomena; Child, Preschool; Chronic illnesses; Coefficients; Composition; Desulfovibrio; Dialister; Diet; Dietary Carbohydrates - administration & dosage; Dietary intake; DNA, Bacterial - genetics; DONALD study; Energy; Feces - microbiology; Food intake; Gastrointestinal Microbiome; Gene sequencing; gut microbiota composition; Health risks; Humans; Infant; Intestinal microflora; long-term diet; Microbiota; Original Research Communications; Phascolarctobacterium; Proteins; Regression models; RNA, Bacterial; RNA, Ribosomal, 16S - genetics; rRNA 16S; Teenagers; Trajectory analysis; long-term diet; rRNA; carbohydrate intake; Dialister; MET-h; 3-day weighed dietary records; gut microbiota composition; DONALD; DONALD study; FDR; ZIBR; Desulfovibrio; MZILN; Phascolarctobacterium
• ISSN: 0002-9165; 1938-3207
• DOI: 10.1093/ajcn/nqaa340

Gut microbiota composition as influenced by long-term 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.
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.
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 zero-inflated Beta regression model.
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 Phascolarctobacterium [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.
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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