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High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans

BACKGROUND: Dietary glycans, widely used as food ingredients and not directly digested by humans, are of intense interest for their beneficial roles in human health through shaping the microbiome. Characterizing the consistency and temporal responses of the gut microbiome to glycans is critical for...

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Autores principales: Creswell, Richard, Tan, Jie, Leff, Jonathan W., Brooks, Brandon, Mahowald, Michael A., Thieroff-Ekerdt, Ruth, Gerber, Georg K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386241/
https://www.ncbi.nlm.nih.gov/pubmed/32620143
http://dx.doi.org/10.1186/s13073-020-00758-x
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author Creswell, Richard
Tan, Jie
Leff, Jonathan W.
Brooks, Brandon
Mahowald, Michael A.
Thieroff-Ekerdt, Ruth
Gerber, Georg K.
author_facet Creswell, Richard
Tan, Jie
Leff, Jonathan W.
Brooks, Brandon
Mahowald, Michael A.
Thieroff-Ekerdt, Ruth
Gerber, Georg K.
author_sort Creswell, Richard
collection PubMed
description BACKGROUND: Dietary glycans, widely used as food ingredients and not directly digested by humans, are of intense interest for their beneficial roles in human health through shaping the microbiome. Characterizing the consistency and temporal responses of the gut microbiome to glycans is critical for rationally developing and deploying these compounds as therapeutics. METHODS: We investigated the effect of two chemically distinct glycans (fructooligosaccharides and polydextrose) through three clinical studies conducted with 80 healthy volunteers. Stool samples, collected at dense temporal resolution (~ 4 times per week over 10 weeks) and analyzed using shotgun metagenomic sequencing, enabled detailed characterization of participants’ microbiomes. For analyzing the microbiome time-series data, we developed MC-TIMME2 (Microbial Counts Trajectories Infinite Mixture Model Engine 2.0), a purpose-built computational tool based on nonparametric Bayesian methods that infer temporal patterns induced by perturbations and groups of microbes sharing these patterns. RESULTS: Overall microbiome structure as well as individual taxa showed rapid, consistent, and durable alterations across participants, regardless of compound dose or the order in which glycans were consumed. Significant changes also occurred in the abundances of microbial carbohydrate utilization genes in response to polydextrose, but not in response to fructooligosaccharides. Using MC-TIMME2, we produced detailed, high-resolution temporal maps of the microbiota in response to glycans within and across microbiomes. CONCLUSIONS: Our findings indicate that dietary glycans cause reproducible, dynamic, and differential alterations to the community structure of the human microbiome.
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spelling pubmed-73862412020-07-29 High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans Creswell, Richard Tan, Jie Leff, Jonathan W. Brooks, Brandon Mahowald, Michael A. Thieroff-Ekerdt, Ruth Gerber, Georg K. Genome Med Research BACKGROUND: Dietary glycans, widely used as food ingredients and not directly digested by humans, are of intense interest for their beneficial roles in human health through shaping the microbiome. Characterizing the consistency and temporal responses of the gut microbiome to glycans is critical for rationally developing and deploying these compounds as therapeutics. METHODS: We investigated the effect of two chemically distinct glycans (fructooligosaccharides and polydextrose) through three clinical studies conducted with 80 healthy volunteers. Stool samples, collected at dense temporal resolution (~ 4 times per week over 10 weeks) and analyzed using shotgun metagenomic sequencing, enabled detailed characterization of participants’ microbiomes. For analyzing the microbiome time-series data, we developed MC-TIMME2 (Microbial Counts Trajectories Infinite Mixture Model Engine 2.0), a purpose-built computational tool based on nonparametric Bayesian methods that infer temporal patterns induced by perturbations and groups of microbes sharing these patterns. RESULTS: Overall microbiome structure as well as individual taxa showed rapid, consistent, and durable alterations across participants, regardless of compound dose or the order in which glycans were consumed. Significant changes also occurred in the abundances of microbial carbohydrate utilization genes in response to polydextrose, but not in response to fructooligosaccharides. Using MC-TIMME2, we produced detailed, high-resolution temporal maps of the microbiota in response to glycans within and across microbiomes. CONCLUSIONS: Our findings indicate that dietary glycans cause reproducible, dynamic, and differential alterations to the community structure of the human microbiome. BioMed Central 2020-07-03 /pmc/articles/PMC7386241/ /pubmed/32620143 http://dx.doi.org/10.1186/s13073-020-00758-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Creswell, Richard
Tan, Jie
Leff, Jonathan W.
Brooks, Brandon
Mahowald, Michael A.
Thieroff-Ekerdt, Ruth
Gerber, Georg K.
High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans
title High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans
title_full High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans
title_fullStr High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans
title_full_unstemmed High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans
title_short High-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans
title_sort high-resolution temporal profiling of the human gut microbiome reveals consistent and cascading alterations in response to dietary glycans
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386241/
https://www.ncbi.nlm.nih.gov/pubmed/32620143
http://dx.doi.org/10.1186/s13073-020-00758-x
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