Cargando…
Diet-Associated Variability in the Elderly Gut Microbiome
OBJECTIVES: The gut microbiome adapts to diet variations, which contribute to interindividual variability in human host metabolism and environmental factors. Microbe-diet studies have largely focused on specific diets (e.g., high-fat Western, Mediterranean-style) in American and European populations...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193898/ http://dx.doi.org/10.1093/cdn/nzac069.025 |
_version_ | 1784726582007431168 |
---|---|
author | Low, Dorrain Tee, Kai Xuan Meldrum, Oliver D'Agostino, Giuseppe Kim, Hye Jin Kang, Alicia Purbojati, Rikky Chandrasekaran, Lakshmi Drautz-Moses, Daniela Yang, Yifan Cheon, Bobby Elizabeth, Aimee Fong, Lai Guan Wang, Yulan Padmanabhan, Parasuraman Schuster, Stephan Pettersson, Sven Chambers, John Gulyas, Balazs |
author_facet | Low, Dorrain Tee, Kai Xuan Meldrum, Oliver D'Agostino, Giuseppe Kim, Hye Jin Kang, Alicia Purbojati, Rikky Chandrasekaran, Lakshmi Drautz-Moses, Daniela Yang, Yifan Cheon, Bobby Elizabeth, Aimee Fong, Lai Guan Wang, Yulan Padmanabhan, Parasuraman Schuster, Stephan Pettersson, Sven Chambers, John Gulyas, Balazs |
author_sort | Low, Dorrain |
collection | PubMed |
description | OBJECTIVES: The gut microbiome adapts to diet variations, which contribute to interindividual variability in human host metabolism and environmental factors. Microbe-diet studies have largely focused on specific diets (e.g., high-fat Western, Mediterranean-style) in American and European populations, with limited studies on compositionally-different diets in Asian populations. This study aimed to understand how diet composition modulates the gut microbiome in a Singapore multi-ethnic population. METHODS: We performed metagenomic sequencing of faecal samples from 118 healthy individuals (66 ± 5 years old), and estimated their food and nutrient intakes from 3-day food records (IRB-2018–01-011). Multivariate associations between microbial composition (species) and functional potentials (pathways, enzymes) with diet variables were analysed using linear mixed models with Benjamin-Hochberg correction, and adjusted for age, sex, BMI, physical activity, energy intake and medications. Permutational multivariate analysis of variance, based on Bray-Curtis dissimilarity metric, was applied to quantify variance within the microbiome that is explained by diet variables. RESULTS: We found gut microbes (5 phyla, >100 species) significantly associated with one of four observed dietary patterns (P < 0.05), various food groups and nutrients (q < 0.1). The microbiome was driven by intake and diversity of plant-based foods. Parabacteroides and Blautia species, and microbial metabolism of energy, carbohydrate and glycan were associated with increased intakes of white rice and noodles. Prevotella species were associated with increased intakes of legumes, wholegrains and plant protein. Lachnospira, Clostridiumand Fournierella species, and microbial lipid metabolism were associated with energy-dense diet. Lastly, Firmicutes, Eubacterium, Ruminococcus and Roseburia species as well as microbial regulation of amino acid metabolism were associated with high-fibre diet. CONCLUSIONS: This study provides new insights into gut microbial variations by distinct Asian dietary composition, supporting the feasibility of intervening habitual diets to reshape the gut microbiome for better health. FUNDING SOURCES: This project was funded by LKC, CONIC and ARISE, NTU, and NTU-CSIRO Precision Health and Technologies Seed Fund. |
format | Online Article Text |
id | pubmed-9193898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91938982022-06-14 Diet-Associated Variability in the Elderly Gut Microbiome Low, Dorrain Tee, Kai Xuan Meldrum, Oliver D'Agostino, Giuseppe Kim, Hye Jin Kang, Alicia Purbojati, Rikky Chandrasekaran, Lakshmi Drautz-Moses, Daniela Yang, Yifan Cheon, Bobby Elizabeth, Aimee Fong, Lai Guan Wang, Yulan Padmanabhan, Parasuraman Schuster, Stephan Pettersson, Sven Chambers, John Gulyas, Balazs Curr Dev Nutr Nutritional Microbiology/Microbiome OBJECTIVES: The gut microbiome adapts to diet variations, which contribute to interindividual variability in human host metabolism and environmental factors. Microbe-diet studies have largely focused on specific diets (e.g., high-fat Western, Mediterranean-style) in American and European populations, with limited studies on compositionally-different diets in Asian populations. This study aimed to understand how diet composition modulates the gut microbiome in a Singapore multi-ethnic population. METHODS: We performed metagenomic sequencing of faecal samples from 118 healthy individuals (66 ± 5 years old), and estimated their food and nutrient intakes from 3-day food records (IRB-2018–01-011). Multivariate associations between microbial composition (species) and functional potentials (pathways, enzymes) with diet variables were analysed using linear mixed models with Benjamin-Hochberg correction, and adjusted for age, sex, BMI, physical activity, energy intake and medications. Permutational multivariate analysis of variance, based on Bray-Curtis dissimilarity metric, was applied to quantify variance within the microbiome that is explained by diet variables. RESULTS: We found gut microbes (5 phyla, >100 species) significantly associated with one of four observed dietary patterns (P < 0.05), various food groups and nutrients (q < 0.1). The microbiome was driven by intake and diversity of plant-based foods. Parabacteroides and Blautia species, and microbial metabolism of energy, carbohydrate and glycan were associated with increased intakes of white rice and noodles. Prevotella species were associated with increased intakes of legumes, wholegrains and plant protein. Lachnospira, Clostridiumand Fournierella species, and microbial lipid metabolism were associated with energy-dense diet. Lastly, Firmicutes, Eubacterium, Ruminococcus and Roseburia species as well as microbial regulation of amino acid metabolism were associated with high-fibre diet. CONCLUSIONS: This study provides new insights into gut microbial variations by distinct Asian dietary composition, supporting the feasibility of intervening habitual diets to reshape the gut microbiome for better health. FUNDING SOURCES: This project was funded by LKC, CONIC and ARISE, NTU, and NTU-CSIRO Precision Health and Technologies Seed Fund. Oxford University Press 2022-06-14 /pmc/articles/PMC9193898/ http://dx.doi.org/10.1093/cdn/nzac069.025 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://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 | Nutritional Microbiology/Microbiome Low, Dorrain Tee, Kai Xuan Meldrum, Oliver D'Agostino, Giuseppe Kim, Hye Jin Kang, Alicia Purbojati, Rikky Chandrasekaran, Lakshmi Drautz-Moses, Daniela Yang, Yifan Cheon, Bobby Elizabeth, Aimee Fong, Lai Guan Wang, Yulan Padmanabhan, Parasuraman Schuster, Stephan Pettersson, Sven Chambers, John Gulyas, Balazs Diet-Associated Variability in the Elderly Gut Microbiome |
title | Diet-Associated Variability in the Elderly Gut Microbiome |
title_full | Diet-Associated Variability in the Elderly Gut Microbiome |
title_fullStr | Diet-Associated Variability in the Elderly Gut Microbiome |
title_full_unstemmed | Diet-Associated Variability in the Elderly Gut Microbiome |
title_short | Diet-Associated Variability in the Elderly Gut Microbiome |
title_sort | diet-associated variability in the elderly gut microbiome |
topic | Nutritional Microbiology/Microbiome |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193898/ http://dx.doi.org/10.1093/cdn/nzac069.025 |
work_keys_str_mv | AT lowdorrain dietassociatedvariabilityintheelderlygutmicrobiome AT teekaixuan dietassociatedvariabilityintheelderlygutmicrobiome AT meldrumoliver dietassociatedvariabilityintheelderlygutmicrobiome AT dagostinogiuseppe dietassociatedvariabilityintheelderlygutmicrobiome AT kimhyejin dietassociatedvariabilityintheelderlygutmicrobiome AT kangalicia dietassociatedvariabilityintheelderlygutmicrobiome AT purbojatirikky dietassociatedvariabilityintheelderlygutmicrobiome AT chandrasekaranlakshmi dietassociatedvariabilityintheelderlygutmicrobiome AT drautzmosesdaniela dietassociatedvariabilityintheelderlygutmicrobiome AT yangyifan dietassociatedvariabilityintheelderlygutmicrobiome AT cheonbobby dietassociatedvariabilityintheelderlygutmicrobiome AT elizabethaimee dietassociatedvariabilityintheelderlygutmicrobiome AT fonglaiguan dietassociatedvariabilityintheelderlygutmicrobiome AT wangyulan dietassociatedvariabilityintheelderlygutmicrobiome AT padmanabhanparasuraman dietassociatedvariabilityintheelderlygutmicrobiome AT schusterstephan dietassociatedvariabilityintheelderlygutmicrobiome AT petterssonsven dietassociatedvariabilityintheelderlygutmicrobiome AT chambersjohn dietassociatedvariabilityintheelderlygutmicrobiome AT gulyasbalazs dietassociatedvariabilityintheelderlygutmicrobiome |