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Microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer
Microbiome and their metabolites are increasingly being recognized for their role in colorectal cancer (CRC) carcinogenesis. Towards revealing new CRC biomarkers, we compared 16S rRNA gene sequencing and liquid chromatography-mass spectrometry (LC–MS) metabolite analyses in 10 CRC (T(CRC)) and norma...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880203/ https://www.ncbi.nlm.nih.gov/pubmed/36712187 http://dx.doi.org/10.3389/fmicb.2023.1034325 |
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author | Feng, Jiahui Gong, Zhizhong Sun, Zhangran Li, Juan Xu, Na Thorne, Rick F. Zhang, Xu Dong Liu, Xiaoying Liu, Gang |
author_facet | Feng, Jiahui Gong, Zhizhong Sun, Zhangran Li, Juan Xu, Na Thorne, Rick F. Zhang, Xu Dong Liu, Xiaoying Liu, Gang |
author_sort | Feng, Jiahui |
collection | PubMed |
description | Microbiome and their metabolites are increasingly being recognized for their role in colorectal cancer (CRC) carcinogenesis. Towards revealing new CRC biomarkers, we compared 16S rRNA gene sequencing and liquid chromatography-mass spectrometry (LC–MS) metabolite analyses in 10 CRC (T(CRC)) and normal paired tissues (T(HC)) along with 10 matched fecal samples (F(CRC)) and 10 healthy controls (F(HC)). The highest microbial phyla abundance from T(HC) and T(CRC) were Firmicutes, while the dominant phyla from F(HC) and F(CRC) were Bacteroidetes, with 72 different microbial genera identified among four groups. No changes in Chao1 indices were detected between tissues or between fecal samples whereas non-metric multidimensional scaling (NMDS) analysis showed distinctive clusters among fecal samples but not tissues. LEfSe analyses indicated Caulobacterales and Brevundimonas were higher in T(HC) than in T(CRC), while Burkholderialese, Sutterellaceaed, Tannerellaceaea, and Bacteroidaceae were higher in F(HC) than in F(CRC). Microbial association networks indicated some genera had substantially different correlations. Tissue and fecal analyses indicated lipids and lipid-like molecules were the most abundant metabolites detected in fecal samples. Moreover, partial least squares discriminant analysis (PLS-DA) based on metabolic profiles showed distinct clusters for CRC and normal samples with a total of 102 differential metabolites between T(HC) and T(CRC) groups and 700 metabolites different between F(HC) and F(CRC) groups. However, only Myristic acid was detected amongst all four groups. Highly significant positive correlations were recorded between genus-level microbiome and metabolomics data in tissue and feces. And several metabolites were associated with paired microbes, suggesting a strong microbiota-metabolome coupling, indicating also that part of the CRC metabolomic signature was attributable to microbes. Suggesting utility as potential biomarkers, most such microbiome and metabolites showed directionally consistent changes in CRC patients. Nevertheless, further studies are needed to increase sample sizes towards verifying these findings. |
format | Online Article Text |
id | pubmed-9880203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98802032023-01-28 Microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer Feng, Jiahui Gong, Zhizhong Sun, Zhangran Li, Juan Xu, Na Thorne, Rick F. Zhang, Xu Dong Liu, Xiaoying Liu, Gang Front Microbiol Microbiology Microbiome and their metabolites are increasingly being recognized for their role in colorectal cancer (CRC) carcinogenesis. Towards revealing new CRC biomarkers, we compared 16S rRNA gene sequencing and liquid chromatography-mass spectrometry (LC–MS) metabolite analyses in 10 CRC (T(CRC)) and normal paired tissues (T(HC)) along with 10 matched fecal samples (F(CRC)) and 10 healthy controls (F(HC)). The highest microbial phyla abundance from T(HC) and T(CRC) were Firmicutes, while the dominant phyla from F(HC) and F(CRC) were Bacteroidetes, with 72 different microbial genera identified among four groups. No changes in Chao1 indices were detected between tissues or between fecal samples whereas non-metric multidimensional scaling (NMDS) analysis showed distinctive clusters among fecal samples but not tissues. LEfSe analyses indicated Caulobacterales and Brevundimonas were higher in T(HC) than in T(CRC), while Burkholderialese, Sutterellaceaed, Tannerellaceaea, and Bacteroidaceae were higher in F(HC) than in F(CRC). Microbial association networks indicated some genera had substantially different correlations. Tissue and fecal analyses indicated lipids and lipid-like molecules were the most abundant metabolites detected in fecal samples. Moreover, partial least squares discriminant analysis (PLS-DA) based on metabolic profiles showed distinct clusters for CRC and normal samples with a total of 102 differential metabolites between T(HC) and T(CRC) groups and 700 metabolites different between F(HC) and F(CRC) groups. However, only Myristic acid was detected amongst all four groups. Highly significant positive correlations were recorded between genus-level microbiome and metabolomics data in tissue and feces. And several metabolites were associated with paired microbes, suggesting a strong microbiota-metabolome coupling, indicating also that part of the CRC metabolomic signature was attributable to microbes. Suggesting utility as potential biomarkers, most such microbiome and metabolites showed directionally consistent changes in CRC patients. Nevertheless, further studies are needed to increase sample sizes towards verifying these findings. Frontiers Media S.A. 2023-01-13 /pmc/articles/PMC9880203/ /pubmed/36712187 http://dx.doi.org/10.3389/fmicb.2023.1034325 Text en Copyright © 2023 Feng, Gong, Sun, Li, Xu, Thorne, Zhang, Liu and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Feng, Jiahui Gong, Zhizhong Sun, Zhangran Li, Juan Xu, Na Thorne, Rick F. Zhang, Xu Dong Liu, Xiaoying Liu, Gang Microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer |
title | Microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer |
title_full | Microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer |
title_fullStr | Microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer |
title_full_unstemmed | Microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer |
title_short | Microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer |
title_sort | microbiome and metabolic features of tissues and feces reveal diagnostic biomarkers for colorectal cancer |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9880203/ https://www.ncbi.nlm.nih.gov/pubmed/36712187 http://dx.doi.org/10.3389/fmicb.2023.1034325 |
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