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Towards an Integrative Understanding of Diet–Host–Gut Microbiome Interactions
Over the last 20 years, a sizeable body of research has linked the microbiome and host diet to a remarkable diversity of diseases. Yet, unifying principles of microbiome assembly or function, at levels required to rationally manipulate a specific individual’s microbiome to their benefit, have not em...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421151/ https://www.ncbi.nlm.nih.gov/pubmed/28533782 http://dx.doi.org/10.3389/fimmu.2017.00538 |
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author | Read, Mark N. Holmes, Andrew J. |
author_facet | Read, Mark N. Holmes, Andrew J. |
author_sort | Read, Mark N. |
collection | PubMed |
description | Over the last 20 years, a sizeable body of research has linked the microbiome and host diet to a remarkable diversity of diseases. Yet, unifying principles of microbiome assembly or function, at levels required to rationally manipulate a specific individual’s microbiome to their benefit, have not emerged. A key driver of both community composition and activity is the host diet, but diet–microbiome interactions cannot be characterized without consideration of host–diet interactions such as appetite and digestion. This becomes even more complex if health outcomes are to be explored, as microbes engage in multiple interactions and feedback pathways with the host. Here, we review these interactions and set forth the need to build conceptual models of the diet–microbiome–host axes that draw out the key principles governing this system’s dynamics. We highlight how “units of response,” characterizations of similarly behaving microbes, do not correlate consistently with microbial sequence relatedness, raising a challenge for relating high-throughput data sets to conceptual models. Furthermore, they are question-specific; responses to resource environment may be captured at higher taxonomic levels, but capturing microbial products that depend on networks of different interacting populations, such as short-chain fatty acid production through anaerobic fermentation, can require consideration of the entire community. We posit that integrative approaches to teasing apart diet–microbe–host interactions will help bridge between experimental data sets and conceptual models and will be of value in formulating predictive models. |
format | Online Article Text |
id | pubmed-5421151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54211512017-05-22 Towards an Integrative Understanding of Diet–Host–Gut Microbiome Interactions Read, Mark N. Holmes, Andrew J. Front Immunol Immunology Over the last 20 years, a sizeable body of research has linked the microbiome and host diet to a remarkable diversity of diseases. Yet, unifying principles of microbiome assembly or function, at levels required to rationally manipulate a specific individual’s microbiome to their benefit, have not emerged. A key driver of both community composition and activity is the host diet, but diet–microbiome interactions cannot be characterized without consideration of host–diet interactions such as appetite and digestion. This becomes even more complex if health outcomes are to be explored, as microbes engage in multiple interactions and feedback pathways with the host. Here, we review these interactions and set forth the need to build conceptual models of the diet–microbiome–host axes that draw out the key principles governing this system’s dynamics. We highlight how “units of response,” characterizations of similarly behaving microbes, do not correlate consistently with microbial sequence relatedness, raising a challenge for relating high-throughput data sets to conceptual models. Furthermore, they are question-specific; responses to resource environment may be captured at higher taxonomic levels, but capturing microbial products that depend on networks of different interacting populations, such as short-chain fatty acid production through anaerobic fermentation, can require consideration of the entire community. We posit that integrative approaches to teasing apart diet–microbe–host interactions will help bridge between experimental data sets and conceptual models and will be of value in formulating predictive models. Frontiers Media S.A. 2017-05-08 /pmc/articles/PMC5421151/ /pubmed/28533782 http://dx.doi.org/10.3389/fimmu.2017.00538 Text en Copyright © 2017 Read and Holmes. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Read, Mark N. Holmes, Andrew J. Towards an Integrative Understanding of Diet–Host–Gut Microbiome Interactions |
title | Towards an Integrative Understanding of Diet–Host–Gut Microbiome Interactions |
title_full | Towards an Integrative Understanding of Diet–Host–Gut Microbiome Interactions |
title_fullStr | Towards an Integrative Understanding of Diet–Host–Gut Microbiome Interactions |
title_full_unstemmed | Towards an Integrative Understanding of Diet–Host–Gut Microbiome Interactions |
title_short | Towards an Integrative Understanding of Diet–Host–Gut Microbiome Interactions |
title_sort | towards an integrative understanding of diet–host–gut microbiome interactions |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421151/ https://www.ncbi.nlm.nih.gov/pubmed/28533782 http://dx.doi.org/10.3389/fimmu.2017.00538 |
work_keys_str_mv | AT readmarkn towardsanintegrativeunderstandingofdiethostgutmicrobiomeinteractions AT holmesandrewj towardsanintegrativeunderstandingofdiethostgutmicrobiomeinteractions |