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

Abstract 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 with...

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Autores principales:	James Kinross, Reza Mirnezami, James Alexander, Richard Brown, Alasdair Scott, Dieter Galea, Kirill Veselkov, Rob Goldin, Ara Darzi, Jeremy Nicholson, Julian R. Marchesi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b793a52c69cf4912b4c52985ea7ffdc4
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spelling	oai:doaj.org-article:b793a52c69cf4912b4c52985ea7ffdc42021-12-02T16:05:57ZA prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy10.1038/s41598-017-08150-32045-2322https://doaj.org/article/b793a52c69cf4912b4c52985ea7ffdc42017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08150-3https://doaj.org/toc/2045-2322Abstract 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.James KinrossReza MirnezamiJames AlexanderRichard BrownAlasdair ScottDieter GaleaKirill VeselkovRob GoldinAra DarziJeremy NicholsonJulian R. MarchesiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q James Kinross Reza Mirnezami James Alexander Richard Brown Alasdair Scott Dieter Galea Kirill Veselkov Rob Goldin Ara Darzi Jeremy Nicholson Julian R. Marchesi A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy
description	Abstract 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.
format	article
author	James Kinross Reza Mirnezami James Alexander Richard Brown Alasdair Scott Dieter Galea Kirill Veselkov Rob Goldin Ara Darzi Jeremy Nicholson Julian R. Marchesi
author_facet	James Kinross Reza Mirnezami James Alexander Richard Brown Alasdair Scott Dieter Galea Kirill Veselkov Rob Goldin Ara Darzi Jeremy Nicholson Julian R. Marchesi
author_sort	James Kinross
title	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_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_sort	prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined mas 1hnmr and metataxonomic strategy
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/b793a52c69cf4912b4c52985ea7ffdc4
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A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy

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