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Characteristics of mucosa-associated gut microbiota during treatment in Crohn’s disease
BACKGROUND: The dysbiosis of the gut microbiome is evident in Crohn’s disease (CD) compared with healthy controls (HC), although the alterations from active CD to remission after treatment are unclear. AIM: To characterize the mucosa-associated gut microbiota in patients with CD before and after the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526154/ https://www.ncbi.nlm.nih.gov/pubmed/31143071 http://dx.doi.org/10.3748/wjg.v25.i18.2204 |
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author | He, Cong Wang, Huan Liao, Wang-Di Peng, Chao Shu, Xu Zhu, Xuan Zhu, Zhen-Hua |
author_facet | He, Cong Wang, Huan Liao, Wang-Di Peng, Chao Shu, Xu Zhu, Xuan Zhu, Zhen-Hua |
author_sort | He, Cong |
collection | PubMed |
description | BACKGROUND: The dysbiosis of the gut microbiome is evident in Crohn’s disease (CD) compared with healthy controls (HC), although the alterations from active CD to remission after treatment are unclear. AIM: To characterize the mucosa-associated gut microbiota in patients with CD before and after the induction therapy. METHODS: The basic information was collected from the subjects and the CD activity index (CDAI) was calculated in patients. A 16S rRNA sequencing approach was applied to determine the structures of microbial communities in mucosal samples including the terminal ileal, ascending colon, descending colon and rectum. The composition and function of mucosa-associated gut microbiota were compared between samples from the same cohort of patients before and after treatment. Differential taxa were identified to calculate the microbial dysbiosis index (MDI) and the correlation between MDI and CDAI was analyzed using Pearson correlation test. Predictive functional profiling of microbial communities was obtained with PICRUSt. RESULTS: There were no significant differences in microbial richness among the four anatomical sites in individuals. Compared to active disease, the alpha diversity of CD in remission was increased towards the level of HC compared to the active stage. The principal coordinate analysis revealed that samples of active CD were clearly separated from those in remission, which clustered close to HC. Sixty-five genera were identified as differentially abundant between active and quiescent CD, with a loss of Fusobacterium and a gain of potential beneficial bacteria including Lactobacillus, Akkermansia, Roseburia, Ruminococcus and Lachnospira after the induction of remission. The combination of these taxa into a MDI showed a positive correlation with clinical disease severity and a negative correlation with species richness. The increased capacity for the inferred pathways including Lipopolysaccharide biosynthesis and Lipopolysaccharide biosynthesis proteins in patients before treatment negatively correlated with the abundance of Roseburia, Ruminococcus and Lachnospira. CONCLUSION: The dysbiosis of mucosa-associated microbiota was associated with the disease phenotype and may become a potential diagnostic tool for the recurrence of disease. |
format | Online Article Text |
id | pubmed-6526154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-65261542019-05-29 Characteristics of mucosa-associated gut microbiota during treatment in Crohn’s disease He, Cong Wang, Huan Liao, Wang-Di Peng, Chao Shu, Xu Zhu, Xuan Zhu, Zhen-Hua World J Gastroenterol Basic Study BACKGROUND: The dysbiosis of the gut microbiome is evident in Crohn’s disease (CD) compared with healthy controls (HC), although the alterations from active CD to remission after treatment are unclear. AIM: To characterize the mucosa-associated gut microbiota in patients with CD before and after the induction therapy. METHODS: The basic information was collected from the subjects and the CD activity index (CDAI) was calculated in patients. A 16S rRNA sequencing approach was applied to determine the structures of microbial communities in mucosal samples including the terminal ileal, ascending colon, descending colon and rectum. The composition and function of mucosa-associated gut microbiota were compared between samples from the same cohort of patients before and after treatment. Differential taxa were identified to calculate the microbial dysbiosis index (MDI) and the correlation between MDI and CDAI was analyzed using Pearson correlation test. Predictive functional profiling of microbial communities was obtained with PICRUSt. RESULTS: There were no significant differences in microbial richness among the four anatomical sites in individuals. Compared to active disease, the alpha diversity of CD in remission was increased towards the level of HC compared to the active stage. The principal coordinate analysis revealed that samples of active CD were clearly separated from those in remission, which clustered close to HC. Sixty-five genera were identified as differentially abundant between active and quiescent CD, with a loss of Fusobacterium and a gain of potential beneficial bacteria including Lactobacillus, Akkermansia, Roseburia, Ruminococcus and Lachnospira after the induction of remission. The combination of these taxa into a MDI showed a positive correlation with clinical disease severity and a negative correlation with species richness. The increased capacity for the inferred pathways including Lipopolysaccharide biosynthesis and Lipopolysaccharide biosynthesis proteins in patients before treatment negatively correlated with the abundance of Roseburia, Ruminococcus and Lachnospira. CONCLUSION: The dysbiosis of mucosa-associated microbiota was associated with the disease phenotype and may become a potential diagnostic tool for the recurrence of disease. Baishideng Publishing Group Inc 2019-05-14 2019-05-14 /pmc/articles/PMC6526154/ /pubmed/31143071 http://dx.doi.org/10.3748/wjg.v25.i18.2204 Text en ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Basic Study He, Cong Wang, Huan Liao, Wang-Di Peng, Chao Shu, Xu Zhu, Xuan Zhu, Zhen-Hua Characteristics of mucosa-associated gut microbiota during treatment in Crohn’s disease |
title | Characteristics of mucosa-associated gut microbiota during treatment in Crohn’s disease |
title_full | Characteristics of mucosa-associated gut microbiota during treatment in Crohn’s disease |
title_fullStr | Characteristics of mucosa-associated gut microbiota during treatment in Crohn’s disease |
title_full_unstemmed | Characteristics of mucosa-associated gut microbiota during treatment in Crohn’s disease |
title_short | Characteristics of mucosa-associated gut microbiota during treatment in Crohn’s disease |
title_sort | characteristics of mucosa-associated gut microbiota during treatment in crohn’s disease |
topic | Basic Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526154/ https://www.ncbi.nlm.nih.gov/pubmed/31143071 http://dx.doi.org/10.3748/wjg.v25.i18.2204 |
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