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Long-term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood
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. OBJECT...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948843/ https://www.ncbi.nlm.nih.gov/pubmed/33471048 http://dx.doi.org/10.1093/ajcn/nqaa340 |
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author | Oluwagbemigun, Kolade O'Donovan, Aoife N Berding, Kirsten Lyons, Katriona Alexy, Ute Schmid, Matthias Clarke, Gerard Stanton, Catherine Cryan, John Nöthlings, Ute |
author_facet | Oluwagbemigun, Kolade O'Donovan, Aoife N Berding, Kirsten Lyons, Katriona Alexy, Ute Schmid, Matthias Clarke, Gerard Stanton, Catherine Cryan, John Nöthlings, Ute |
author_sort | Oluwagbemigun, Kolade |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7948843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-79488432021-03-16 Long-term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood Oluwagbemigun, Kolade O'Donovan, Aoife N Berding, Kirsten Lyons, Katriona Alexy, Ute Schmid, Matthias Clarke, Gerard Stanton, Catherine Cryan, John Nöthlings, Ute Am J Clin Nutr Original Research Communications 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. Oxford University Press 2021-01-20 /pmc/articles/PMC7948843/ /pubmed/33471048 http://dx.doi.org/10.1093/ajcn/nqaa340 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Research Communications Oluwagbemigun, Kolade O'Donovan, Aoife N Berding, Kirsten Lyons, Katriona Alexy, Ute Schmid, Matthias Clarke, Gerard Stanton, Catherine Cryan, John Nöthlings, Ute Long-term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood |
title | Long-term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood |
title_full | Long-term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood |
title_fullStr | Long-term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood |
title_full_unstemmed | Long-term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood |
title_short | Long-term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood |
title_sort | long-term dietary intake from infancy to late adolescence is associated with gut microbiota composition in young adulthood |
topic | Original Research Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7948843/ https://www.ncbi.nlm.nih.gov/pubmed/33471048 http://dx.doi.org/10.1093/ajcn/nqaa340 |
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