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Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota

Colon cancer onset is strongly associated with the differences in microbial taxa in the gastrointestinal tract. Although recent studies highlight the role of individual taxa, the effect of a complex gut microbiome (GM) on the metabolome and host transcriptome is still unknown. We used a multi-omics...

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Autores principales: Busi, Susheel Bhanu, Lei, Zhentian, Sumner, Lloyd W., Amos-Landgraf, James M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469915/
https://www.ncbi.nlm.nih.gov/pubmed/37458451
http://dx.doi.org/10.1128/msystems.00151-23
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author Busi, Susheel Bhanu
Lei, Zhentian
Sumner, Lloyd W.
Amos-Landgraf, James M.
author_facet Busi, Susheel Bhanu
Lei, Zhentian
Sumner, Lloyd W.
Amos-Landgraf, James M.
author_sort Busi, Susheel Bhanu
collection PubMed
description Colon cancer onset is strongly associated with the differences in microbial taxa in the gastrointestinal tract. Although recent studies highlight the role of individual taxa, the effect of a complex gut microbiome (GM) on the metabolome and host transcriptome is still unknown. We used a multi-omics approach to determine how differences in the GM affect the susceptibility to adenoma development in a rat model of human colon cancer. Ultra-high performance liquid chromatography mass spectrometry of feces collected prior to observable disease onset identified putative metabolite profiles that likely predict future disease severity. Transcriptome analyses performed after disease onset from normal colonic epithelium and tumor tissues show a correlation between GM and host gene expression. Integrated pathway analyses of the metabolome and transcriptome based on putatively identified metabolic features indicate that bile acid biosynthesis is enriched in rats with high tumors along with increased fatty acid metabolism and mucin biosynthesis. Targeted pyrosequencing of the Pirc allele indicates that the GM alters the mechanism of adenoma development and may drive an epigenetic pathway of tumor suppressor silencing. This study reveals how untargeted metabolomics identifies signatures of susceptibility and integrated analyses uncover pathways of differential mechanisms of loss of tumor suppressor gene function and for potential prevention and therapeutic intervention. IMPORTANCE: The association between the gut microbiome and colon cancer is significant but difficult to test in model systems. This study highlights the association of differences in the pathogen-free gut microbiome to changes in the host transcriptome and metabolome that correlate with colon adenoma initiation and development in a rat genetic model of early colon cancer. The utilization of a multi-omics approach integrating metabolomics and transcriptomics reveals differences in pathways including bile acid biosynthesis and fatty acid metabolism. The study also shows that differences in gut microbiomes significantly alter the mechanism of adenoma formation, shifting from genetic changes to epigenetic changes that initiate the early loss of tumor suppressor function. These findings enhance our understanding of the gut microbiome’s role in colon cancer susceptibility, offer insights into potential biomarkers and therapeutic targets, and may pave the way for future prevention and intervention strategies.
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spelling pubmed-104699152023-09-01 Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota Busi, Susheel Bhanu Lei, Zhentian Sumner, Lloyd W. Amos-Landgraf, James M. mSystems Research Article Colon cancer onset is strongly associated with the differences in microbial taxa in the gastrointestinal tract. Although recent studies highlight the role of individual taxa, the effect of a complex gut microbiome (GM) on the metabolome and host transcriptome is still unknown. We used a multi-omics approach to determine how differences in the GM affect the susceptibility to adenoma development in a rat model of human colon cancer. Ultra-high performance liquid chromatography mass spectrometry of feces collected prior to observable disease onset identified putative metabolite profiles that likely predict future disease severity. Transcriptome analyses performed after disease onset from normal colonic epithelium and tumor tissues show a correlation between GM and host gene expression. Integrated pathway analyses of the metabolome and transcriptome based on putatively identified metabolic features indicate that bile acid biosynthesis is enriched in rats with high tumors along with increased fatty acid metabolism and mucin biosynthesis. Targeted pyrosequencing of the Pirc allele indicates that the GM alters the mechanism of adenoma development and may drive an epigenetic pathway of tumor suppressor silencing. This study reveals how untargeted metabolomics identifies signatures of susceptibility and integrated analyses uncover pathways of differential mechanisms of loss of tumor suppressor gene function and for potential prevention and therapeutic intervention. IMPORTANCE: The association between the gut microbiome and colon cancer is significant but difficult to test in model systems. This study highlights the association of differences in the pathogen-free gut microbiome to changes in the host transcriptome and metabolome that correlate with colon adenoma initiation and development in a rat genetic model of early colon cancer. The utilization of a multi-omics approach integrating metabolomics and transcriptomics reveals differences in pathways including bile acid biosynthesis and fatty acid metabolism. The study also shows that differences in gut microbiomes significantly alter the mechanism of adenoma formation, shifting from genetic changes to epigenetic changes that initiate the early loss of tumor suppressor function. These findings enhance our understanding of the gut microbiome’s role in colon cancer susceptibility, offer insights into potential biomarkers and therapeutic targets, and may pave the way for future prevention and intervention strategies. American Society for Microbiology 2023-07-17 /pmc/articles/PMC10469915/ /pubmed/37458451 http://dx.doi.org/10.1128/msystems.00151-23 Text en Copyright © 2023 Busi et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Busi, Susheel Bhanu
Lei, Zhentian
Sumner, Lloyd W.
Amos-Landgraf, James M.
Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota
title Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota
title_full Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota
title_fullStr Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota
title_full_unstemmed Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota
title_short Integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota
title_sort integrated multi-omic analyses provide insight into colon adenoma susceptibility modulation by the gut microbiota
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469915/
https://www.ncbi.nlm.nih.gov/pubmed/37458451
http://dx.doi.org/10.1128/msystems.00151-23
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