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Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma
Liver carcinoma (LC) is a common malignancy worldwide, associated with high morbidity and mortality. Characterizing microbiome profiles of tongue coat may provide useful insights and potential diagnostic marker for LC patients. Herein, we are the first time to investigate tongue coat microbiome of L...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5015078/ https://www.ncbi.nlm.nih.gov/pubmed/27605161 http://dx.doi.org/10.1038/srep33142 |
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author | Lu, Haifeng Ren, Zhigang Li, Ang Zhang, Hua Jiang, Jianwen Xu, Shaoyan Luo, Qixia Zhou, Kai Sun, Xiaoli Zheng, Shusen Li, Lanjuan |
author_facet | Lu, Haifeng Ren, Zhigang Li, Ang Zhang, Hua Jiang, Jianwen Xu, Shaoyan Luo, Qixia Zhou, Kai Sun, Xiaoli Zheng, Shusen Li, Lanjuan |
author_sort | Lu, Haifeng |
collection | PubMed |
description | Liver carcinoma (LC) is a common malignancy worldwide, associated with high morbidity and mortality. Characterizing microbiome profiles of tongue coat may provide useful insights and potential diagnostic marker for LC patients. Herein, we are the first time to investigate tongue coat microbiome of LC patients with cirrhosis based on 16S ribosomal RNA (rRNA) gene sequencing. After strict inclusion and exclusion criteria, 35 early LC patients with cirrhosis and 25 matched healthy subjects were enrolled. Microbiome diversity of tongue coat in LC patients was significantly increased shown by Shannon, Simpson and Chao 1 indexes. Microbiome on tongue coat was significantly distinguished LC patients from healthy subjects by principal component analysis. Tongue coat microbial profiles represented 38 operational taxonomic units assigned to 23 different genera, distinguishing LC patients. Linear discriminant analysis (LDA) effect size (LEfSe) reveals significant microbial dysbiosis of tongue coats in LC patients. Strikingly, Oribacterium and Fusobacterium could distinguish LC patients from healthy subjects. LEfSe outputs show microbial gene functions related to categories of nickel/iron_transport, amino_acid_transport, energy produced system and metabolism between LC patients and healthy subjects. These findings firstly identify microbiota dysbiosis of tongue coat in LC patients, may providing novel and non-invasive potential diagnostic biomarker of LC. |
format | Online Article Text |
id | pubmed-5015078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50150782016-09-12 Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma Lu, Haifeng Ren, Zhigang Li, Ang Zhang, Hua Jiang, Jianwen Xu, Shaoyan Luo, Qixia Zhou, Kai Sun, Xiaoli Zheng, Shusen Li, Lanjuan Sci Rep Article Liver carcinoma (LC) is a common malignancy worldwide, associated with high morbidity and mortality. Characterizing microbiome profiles of tongue coat may provide useful insights and potential diagnostic marker for LC patients. Herein, we are the first time to investigate tongue coat microbiome of LC patients with cirrhosis based on 16S ribosomal RNA (rRNA) gene sequencing. After strict inclusion and exclusion criteria, 35 early LC patients with cirrhosis and 25 matched healthy subjects were enrolled. Microbiome diversity of tongue coat in LC patients was significantly increased shown by Shannon, Simpson and Chao 1 indexes. Microbiome on tongue coat was significantly distinguished LC patients from healthy subjects by principal component analysis. Tongue coat microbial profiles represented 38 operational taxonomic units assigned to 23 different genera, distinguishing LC patients. Linear discriminant analysis (LDA) effect size (LEfSe) reveals significant microbial dysbiosis of tongue coats in LC patients. Strikingly, Oribacterium and Fusobacterium could distinguish LC patients from healthy subjects. LEfSe outputs show microbial gene functions related to categories of nickel/iron_transport, amino_acid_transport, energy produced system and metabolism between LC patients and healthy subjects. These findings firstly identify microbiota dysbiosis of tongue coat in LC patients, may providing novel and non-invasive potential diagnostic biomarker of LC. Nature Publishing Group 2016-09-08 /pmc/articles/PMC5015078/ /pubmed/27605161 http://dx.doi.org/10.1038/srep33142 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Lu, Haifeng Ren, Zhigang Li, Ang Zhang, Hua Jiang, Jianwen Xu, Shaoyan Luo, Qixia Zhou, Kai Sun, Xiaoli Zheng, Shusen Li, Lanjuan Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma |
title | Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma |
title_full | Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma |
title_fullStr | Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma |
title_full_unstemmed | Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma |
title_short | Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma |
title_sort | deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5015078/ https://www.ncbi.nlm.nih.gov/pubmed/27605161 http://dx.doi.org/10.1038/srep33142 |
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