TY - JOUR
T1 - Long-Term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood
AU - Oluwagbemigun, Kolade
AU - O'Donovan, Aoife N.
AU - Berding, Kirsten
AU - Lyons, Katriona
AU - Alexy, Ute
AU - Schmid, Matthias
AU - Clarke, Gerard
AU - Stanton, Catherine
AU - Cryan, John
AU - Nöthlings, Ute
N1 - Publisher Copyright:
© 2021 The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.
PY - 2021/3
Y1 - 2021/3
N2 - Background: 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. 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 zero-inflated 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 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. 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.
AB - Background: 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. 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 zero-inflated 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 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. 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.
KW - 3-day weighed dietary records
KW - carbohydrate intake
KW - Desulfovibrio
KW - Dialister
KW - DONALD study
KW - gut microbiota composition
KW - long-Term diet
KW - Phascolarctobacterium
UR - https://www.scopus.com/pages/publications/85102910662
U2 - 10.1093/ajcn/nqaa340
DO - 10.1093/ajcn/nqaa340
M3 - Article
C2 - 33471048
AN - SCOPUS:85102910662
SN - 0002-9165
VL - 113
SP - 647
EP - 656
JO - American Journal of Clinical Nutrition
JF - American Journal of Clinical Nutrition
IS - 3
ER -