Literature DB >> 30573380

Gut mucosal-associated microbiota better discloses inflammatory bowel disease differential patterns than faecal microbiota.

Annamaria Altomare1, Lorenza Putignani2, Federica Del Chierico3, Silvia Cocca4, Silvia Angeletti5, Massimo Ciccozzi6, Costanza Tripiciano4, Bruno Dalla Piccola7, Michele Cicala4, Michele Pier Luca Guarino4.   

Abstract

BACKGROUND: Growing evidence supports the potential role of intestinal microbiota in the pathophysiology of inflammatory bowel diseases (IBD) even if the literature does not reveal uniform alterations. The aim of the study was to evaluate the mucosal (MM) and faecal microbiota (FM) composition in a cohort of IBD patients compared to healthy controls (CTRLs).
METHODS: Faecal and mucosal samples were collected from 14 IBD patients and 11 CTRLs. The V1-V3 region of 16S rRNA locus was amplified on a 454-Junior Genome Sequencer. Reads were grouped into operational taxonomic units (OTUs) at a sequence similarity level of 97% for taxonomic assignment, and aligned for OTUs matching against Greengenes database.
RESULTS: Irrespective of disease localization and activity, in the MM of IBD patients a statistically significant increase of Proteobacteria (especially Enterobacteriaceae, Acidaminococcus, Veillonella dispar) and decrease of Firmicutes (especially Roseburia and Faecalibacterium prausnitzii) and Actinobacteria was found compared to CTRLs. In the colon district some specific bacterial biomarkers were identified: Enterobacteriaceae for IBD stools, Bacteroides for IBD biopsies, Mogibacteriaceae, Ruminococcaceae and Prevotella for CTRL stools, Ruminococcaceae for CTRL biopsies.
CONCLUSIONS: The profiles of FM were more similar to CTRLs, suggesting that microbiota adhering to the gut mucosa better discriminates patients from controls, with the identification of some interesting biomarkers.
Copyright © 2018 Editrice Gastroenterologica Italiana S.r.l. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Crohn’s disease; Inflammatory bowel disease; Microbiome; Mucosal microbiome

Year:  2018        PMID: 30573380     DOI: 10.1016/j.dld.2018.11.021

Source DB:  PubMed          Journal:  Dig Liver Dis        ISSN: 1590-8658            Impact factor:   4.088


  24 in total

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Journal:  Microorganisms       Date:  2021-04-30

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Journal:  Front Cell Infect Microbiol       Date:  2020-05-19       Impact factor: 5.293

5.  Dysbiosis associated with acute helminth infections in herbivorous youngstock - observations and implications.

Authors:  Laura E Peachey; Cecilia Castro; Rebecca A Molena; Timothy P Jenkins; Julian L Griffin; Cinzia Cantacessi
Journal:  Sci Rep       Date:  2019-07-31       Impact factor: 4.379

Review 6.  Fungal-Bacterial Interactions in Health and Disease.

Authors:  Wibke Krüger; Sarah Vielreicher; Mario Kapitan; Ilse D Jacobsen; Maria Joanna Niemiec
Journal:  Pathogens       Date:  2019-05-21

7.  Potential of multiomics technology in precision medicine.

Authors:  Lorenza Putignani; Antonio Gasbarrini; Bruno Dallapiccola
Journal:  Curr Opin Gastroenterol       Date:  2019-11       Impact factor: 3.287

Review 8.  The Dynamic Interplay between the Gut Microbiota and Autoimmune Diseases.

Authors:  Huihui Xu; Meijie Liu; Jinfeng Cao; Xiaoya Li; Danping Fan; Ya Xia; Xiangchen Lu; Jingtao Li; Dahong Ju; Hongyan Zhao
Journal:  J Immunol Res       Date:  2019-10-27       Impact factor: 4.818

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Journal:  Front Immunol       Date:  2020-09-02       Impact factor: 7.561

10.  Gut Mucosal and Fecal Microbiota Profiling Combined to Intestinal Immune System in Neonates Affected by Intestinal Ischemic Injuries.

Authors:  Lorenza Romani; Federica Del Chierico; Maria Chiriaco; Silvia Foligno; Sofia Reddel; Guglielmo Salvatori; Cristina Cifaldi; Simona Faraci; Andrea Finocchi; Paolo Rossi; Pietro Bagolan; Patrizia D'Argenio; Lorenza Putignani; Fabio Fusaro
Journal:  Front Cell Infect Microbiol       Date:  2020-02-25       Impact factor: 5.293

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