Cargando…

Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis

Colorectal cancer (CRC) is the third most common form of cancer and poses a critical public health threat due to the global spread of westernized diets high in meat, cholesterol, and fat. Although the link between diet and colorectal cancer has been well established, the mediating role of the gut mi...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Jinho, McDowell, Andrea, Kim, Eun Kyoung, Seo, Hochan, Lee, Won Hee, Moon, Chang-Mo, Kym, Sung-Min, Lee, Dong Ho, Park, Young Soo, Jee, Young-Koo, Kim, Yoon-Keun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802675/
https://www.ncbi.nlm.nih.gov/pubmed/31582724
http://dx.doi.org/10.1038/s12276-019-0313-4
_version_ 1783460836561387520
author Yang, Jinho
McDowell, Andrea
Kim, Eun Kyoung
Seo, Hochan
Lee, Won Hee
Moon, Chang-Mo
Kym, Sung-Min
Lee, Dong Ho
Park, Young Soo
Jee, Young-Koo
Kim, Yoon-Keun
author_facet Yang, Jinho
McDowell, Andrea
Kim, Eun Kyoung
Seo, Hochan
Lee, Won Hee
Moon, Chang-Mo
Kym, Sung-Min
Lee, Dong Ho
Park, Young Soo
Jee, Young-Koo
Kim, Yoon-Keun
author_sort Yang, Jinho
collection PubMed
description Colorectal cancer (CRC) is the third most common form of cancer and poses a critical public health threat due to the global spread of westernized diets high in meat, cholesterol, and fat. Although the link between diet and colorectal cancer has been well established, the mediating role of the gut microbiota remains elusive. In this study, we sought to elucidate the connection between the gut microbiota, diet, and CRC through metagenomic analysis of bacteria isolated from the stool of CRC (n = 89) and healthy (n = 161) subjects. This analysis yielded a dozen genera that were significantly altered in CRC patients, including increased Bacteroides, Fusobacterium, Dorea, and Porphyromonas prevalence and diminished Pseudomonas, Prevotella, Acinetobacter, and Catenibacterium carriage. Based on these altered genera, we developed two novel CRC diagnostic models through stepwise selection and a simplified model using two increased and two decreased genera. As both models yielded strong AUC values above 0.8, the simplified model was applied to assess diet-based CRC risk in mice. Mice fed a westernized high-fat diet (HFD) showed greater CRC risk than mice fed a regular chow diet. Furthermore, we found that nonglutinous rice, glutinous rice, and sorghum consumption reduced CRC risk in HFD-fed mice. Collectively, these findings support the critical mediating role of the gut microbiota in diet-induced CRC risk as well as the potential of dietary grain intake to reduce microbiota-associated CRC risk. Further study is required to validate the diagnostic prediction models developed in this study as well as the preventive potential of grain consumption to reduce CRC risk.
format Online
Article
Text
id pubmed-6802675
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-68026752019-10-24 Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis Yang, Jinho McDowell, Andrea Kim, Eun Kyoung Seo, Hochan Lee, Won Hee Moon, Chang-Mo Kym, Sung-Min Lee, Dong Ho Park, Young Soo Jee, Young-Koo Kim, Yoon-Keun Exp Mol Med Article Colorectal cancer (CRC) is the third most common form of cancer and poses a critical public health threat due to the global spread of westernized diets high in meat, cholesterol, and fat. Although the link between diet and colorectal cancer has been well established, the mediating role of the gut microbiota remains elusive. In this study, we sought to elucidate the connection between the gut microbiota, diet, and CRC through metagenomic analysis of bacteria isolated from the stool of CRC (n = 89) and healthy (n = 161) subjects. This analysis yielded a dozen genera that were significantly altered in CRC patients, including increased Bacteroides, Fusobacterium, Dorea, and Porphyromonas prevalence and diminished Pseudomonas, Prevotella, Acinetobacter, and Catenibacterium carriage. Based on these altered genera, we developed two novel CRC diagnostic models through stepwise selection and a simplified model using two increased and two decreased genera. As both models yielded strong AUC values above 0.8, the simplified model was applied to assess diet-based CRC risk in mice. Mice fed a westernized high-fat diet (HFD) showed greater CRC risk than mice fed a regular chow diet. Furthermore, we found that nonglutinous rice, glutinous rice, and sorghum consumption reduced CRC risk in HFD-fed mice. Collectively, these findings support the critical mediating role of the gut microbiota in diet-induced CRC risk as well as the potential of dietary grain intake to reduce microbiota-associated CRC risk. Further study is required to validate the diagnostic prediction models developed in this study as well as the preventive potential of grain consumption to reduce CRC risk. Nature Publishing Group UK 2019-10-03 /pmc/articles/PMC6802675/ /pubmed/31582724 http://dx.doi.org/10.1038/s12276-019-0313-4 Text en © The Author(s) 2019 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
Yang, Jinho
McDowell, Andrea
Kim, Eun Kyoung
Seo, Hochan
Lee, Won Hee
Moon, Chang-Mo
Kym, Sung-Min
Lee, Dong Ho
Park, Young Soo
Jee, Young-Koo
Kim, Yoon-Keun
Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis
title Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis
title_full Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis
title_fullStr Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis
title_full_unstemmed Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis
title_short Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis
title_sort development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6802675/
https://www.ncbi.nlm.nih.gov/pubmed/31582724
http://dx.doi.org/10.1038/s12276-019-0313-4
work_keys_str_mv AT yangjinho developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis
AT mcdowellandrea developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis
AT kimeunkyoung developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis
AT seohochan developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis
AT leewonhee developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis
AT moonchangmo developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis
AT kymsungmin developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis
AT leedongho developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis
AT parkyoungsoo developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis
AT jeeyoungkoo developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis
AT kimyoonkeun developmentofacolorectalcancerdiagnosticmodelanddietaryriskassessmentthroughgutmicrobiomeanalysis