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Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships
BACKGROUND: Consistent compositional shifts in the gut microbiota are observed in IBD and other chronic intestinal disorders and may contribute to pathogenesis. The identities of microbial biomolecular mechanisms and metabolic products responsible for disease phenotypes remain to be determined, as d...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971612/ https://www.ncbi.nlm.nih.gov/pubmed/24450808 http://dx.doi.org/10.1186/2049-2618-1-17 |
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author | McHardy, Ian H Goudarzi, Maryam Tong, Maomeng Ruegger, Paul M Schwager, Emma Weger, John R Graeber, Thomas G Sonnenburg, Justin L Horvath, Steve Huttenhower, Curtis McGovern, Dermot PB Fornace, Albert J Borneman, James Braun, Jonathan |
author_facet | McHardy, Ian H Goudarzi, Maryam Tong, Maomeng Ruegger, Paul M Schwager, Emma Weger, John R Graeber, Thomas G Sonnenburg, Justin L Horvath, Steve Huttenhower, Curtis McGovern, Dermot PB Fornace, Albert J Borneman, James Braun, Jonathan |
author_sort | McHardy, Ian H |
collection | PubMed |
description | BACKGROUND: Consistent compositional shifts in the gut microbiota are observed in IBD and other chronic intestinal disorders and may contribute to pathogenesis. The identities of microbial biomolecular mechanisms and metabolic products responsible for disease phenotypes remain to be determined, as do the means by which such microbial functions may be therapeutically modified. RESULTS: The composition of the microbiota and metabolites in gut microbiome samples in 47 subjects were determined. Samples were obtained by endoscopic mucosal lavage from the cecum and sigmoid colon regions, and each sample was sequenced using the 16S rRNA gene V4 region (Illumina-HiSeq 2000 platform) and assessed by UPLC mass spectroscopy. Spearman correlations were used to identify widespread, statistically significant microbial-metabolite relationships. Metagenomes for identified microbial OTUs were imputed using PICRUSt, and KEGG metabolic pathway modules for imputed genes were assigned using HUMAnN. The resulting metabolic pathway abundances were mostly concordant with metabolite data. Analysis of the metabolome-driven distribution of OTU phylogeny and function revealed clusters of clades that were both metabolically and metagenomically similar. CONCLUSIONS: The results suggest that microbes are syntropic with mucosal metabolome composition and therefore may be the source of and/or dependent upon gut epithelial metabolites. The consistent relationship between inferred metagenomic function and assayed metabolites suggests that metagenomic composition is predictive to a reasonable degree of microbial community metabolite pools. The finding that certain metabolites strongly correlate with microbial community structure raises the possibility of targeting metabolites for monitoring and/or therapeutically manipulating microbial community function in IBD and other chronic diseases. |
format | Online Article Text |
id | pubmed-3971612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39716122014-04-02 Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships McHardy, Ian H Goudarzi, Maryam Tong, Maomeng Ruegger, Paul M Schwager, Emma Weger, John R Graeber, Thomas G Sonnenburg, Justin L Horvath, Steve Huttenhower, Curtis McGovern, Dermot PB Fornace, Albert J Borneman, James Braun, Jonathan Microbiome Research BACKGROUND: Consistent compositional shifts in the gut microbiota are observed in IBD and other chronic intestinal disorders and may contribute to pathogenesis. The identities of microbial biomolecular mechanisms and metabolic products responsible for disease phenotypes remain to be determined, as do the means by which such microbial functions may be therapeutically modified. RESULTS: The composition of the microbiota and metabolites in gut microbiome samples in 47 subjects were determined. Samples were obtained by endoscopic mucosal lavage from the cecum and sigmoid colon regions, and each sample was sequenced using the 16S rRNA gene V4 region (Illumina-HiSeq 2000 platform) and assessed by UPLC mass spectroscopy. Spearman correlations were used to identify widespread, statistically significant microbial-metabolite relationships. Metagenomes for identified microbial OTUs were imputed using PICRUSt, and KEGG metabolic pathway modules for imputed genes were assigned using HUMAnN. The resulting metabolic pathway abundances were mostly concordant with metabolite data. Analysis of the metabolome-driven distribution of OTU phylogeny and function revealed clusters of clades that were both metabolically and metagenomically similar. CONCLUSIONS: The results suggest that microbes are syntropic with mucosal metabolome composition and therefore may be the source of and/or dependent upon gut epithelial metabolites. The consistent relationship between inferred metagenomic function and assayed metabolites suggests that metagenomic composition is predictive to a reasonable degree of microbial community metabolite pools. The finding that certain metabolites strongly correlate with microbial community structure raises the possibility of targeting metabolites for monitoring and/or therapeutically manipulating microbial community function in IBD and other chronic diseases. BioMed Central 2013-06-05 /pmc/articles/PMC3971612/ /pubmed/24450808 http://dx.doi.org/10.1186/2049-2618-1-17 Text en Copyright © 2013 McHardy et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research McHardy, Ian H Goudarzi, Maryam Tong, Maomeng Ruegger, Paul M Schwager, Emma Weger, John R Graeber, Thomas G Sonnenburg, Justin L Horvath, Steve Huttenhower, Curtis McGovern, Dermot PB Fornace, Albert J Borneman, James Braun, Jonathan Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships |
title | Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships |
title_full | Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships |
title_fullStr | Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships |
title_full_unstemmed | Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships |
title_short | Integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships |
title_sort | integrative analysis of the microbiome and metabolome of the human intestinal mucosal surface reveals exquisite inter-relationships |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971612/ https://www.ncbi.nlm.nih.gov/pubmed/24450808 http://dx.doi.org/10.1186/2049-2618-1-17 |
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