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A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy

Colon cancer induces a state of mucosal dysbiosis with associated niche specific changes in the gut microbiota. However, the key metabolic functions of these bacteria remain unclear. We performed a prospective observational study in patients undergoing elective surgery for colon cancer without mecha...

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Autores principales: Kinross, James, Mirnezami, Reza, Alexander, James, Brown, Richard, Scott, Alasdair, Galea, Dieter, Veselkov, Kirill, Goldin, Rob, Darzi, Ara, Nicholson, Jeremy, Marchesi, Julian R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566496/
https://www.ncbi.nlm.nih.gov/pubmed/28827587
http://dx.doi.org/10.1038/s41598-017-08150-3
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author Kinross, James
Mirnezami, Reza
Alexander, James
Brown, Richard
Scott, Alasdair
Galea, Dieter
Veselkov, Kirill
Goldin, Rob
Darzi, Ara
Nicholson, Jeremy
Marchesi, Julian R.
author_facet Kinross, James
Mirnezami, Reza
Alexander, James
Brown, Richard
Scott, Alasdair
Galea, Dieter
Veselkov, Kirill
Goldin, Rob
Darzi, Ara
Nicholson, Jeremy
Marchesi, Julian R.
author_sort Kinross, James
collection PubMed
description Colon cancer induces a state of mucosal dysbiosis with associated niche specific changes in the gut microbiota. However, the key metabolic functions of these bacteria remain unclear. We performed a prospective observational study in patients undergoing elective surgery for colon cancer without mechanical bowel preparation (n = 18). Using 16 S rRNA gene sequencing we demonstrated that microbiota ecology appears to be cancer stage-specific and strongly associated with histological features of poor prognosis. Fusobacteria (p < 0.007) and ε- Proteobacteria (p < 0.01) were enriched on tumour when compared to adjacent normal mucosal tissue, and fusobacteria and β-Proteobacteria levels increased with advancing cancer stage (p = 0.014 and 0.002 respecitvely). Metabonomic analysis using 1H Magic Angle Spinning Nuclear Magnetic Resonsance  (MAS-NMR) spectroscopy, demonstrated increased abundance of taurine, isoglutamine, choline, lactate, phenylalanine and tyrosine and decreased levels of lipids and triglycerides in tumour relative to adjacent healthy tissue. Network analysis revealed that bacteria associated with poor prognostic features were not responsible for the modification of the cancer mucosal metabonome. Thus the colon cancer mucosal microbiome evolves with cancer stage to meet the demands of cancer metabolism. Passenger microbiota may play a role in the maintenance of cancer mucosal metabolic homeostasis but these metabolic functions may not be stage specific.
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spelling pubmed-55664962017-08-23 A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy Kinross, James Mirnezami, Reza Alexander, James Brown, Richard Scott, Alasdair Galea, Dieter Veselkov, Kirill Goldin, Rob Darzi, Ara Nicholson, Jeremy Marchesi, Julian R. Sci Rep Article Colon cancer induces a state of mucosal dysbiosis with associated niche specific changes in the gut microbiota. However, the key metabolic functions of these bacteria remain unclear. We performed a prospective observational study in patients undergoing elective surgery for colon cancer without mechanical bowel preparation (n = 18). Using 16 S rRNA gene sequencing we demonstrated that microbiota ecology appears to be cancer stage-specific and strongly associated with histological features of poor prognosis. Fusobacteria (p < 0.007) and ε- Proteobacteria (p < 0.01) were enriched on tumour when compared to adjacent normal mucosal tissue, and fusobacteria and β-Proteobacteria levels increased with advancing cancer stage (p = 0.014 and 0.002 respecitvely). Metabonomic analysis using 1H Magic Angle Spinning Nuclear Magnetic Resonsance  (MAS-NMR) spectroscopy, demonstrated increased abundance of taurine, isoglutamine, choline, lactate, phenylalanine and tyrosine and decreased levels of lipids and triglycerides in tumour relative to adjacent healthy tissue. Network analysis revealed that bacteria associated with poor prognostic features were not responsible for the modification of the cancer mucosal metabonome. Thus the colon cancer mucosal microbiome evolves with cancer stage to meet the demands of cancer metabolism. Passenger microbiota may play a role in the maintenance of cancer mucosal metabolic homeostasis but these metabolic functions may not be stage specific. Nature Publishing Group UK 2017-08-21 /pmc/articles/PMC5566496/ /pubmed/28827587 http://dx.doi.org/10.1038/s41598-017-08150-3 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kinross, James
Mirnezami, Reza
Alexander, James
Brown, Richard
Scott, Alasdair
Galea, Dieter
Veselkov, Kirill
Goldin, Rob
Darzi, Ara
Nicholson, Jeremy
Marchesi, Julian R.
A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy
title A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy
title_full A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy
title_fullStr A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy
title_full_unstemmed A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy
title_short A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy
title_sort prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined mas 1hnmr and metataxonomic strategy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5566496/
https://www.ncbi.nlm.nih.gov/pubmed/28827587
http://dx.doi.org/10.1038/s41598-017-08150-3
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