Literature DB >> 29126267

Identification of universal gut microbial biomarkers of common human intestinal diseases by meta-analysis.

Leonardo Mancabelli1, Christian Milani1, Gabriele Andrea Lugli1, Francesca Turroni1, Deborah Cocconi1, Douwe van Sinderen2, Marco Ventura1.   

Abstract

Intestinal diseases, such as Crohn's disease (CD), ulcerative colitis (UC) and pseudomembranous colitis (CDI), are among the most common diseases in humans and may lead to more serious pathologies, e.g. colorectal cancer (CRC). Next generation sequencing has in recent years allowed the identification of correlations between intestinal bacteria and diseases, although the formulation of universal gut microbial biomarkers for such diseases is only in its infancy. In the current study, we selected and reanalyzed a total of 3048 public datasets obtained from 16S rRNA profiling of individuals affected by CD, UC, CDI and CRC. This meta-analysis revealed possible biases in the reconstruction of the gut microbiota composition due to the use of different primer pairs employed for PCR of 16S rRNA gene fragments. Notably, this approach also identified common features of individuals affected by gut diseases (DS), including lower biodiversity compared to control subjects. Moreover, potential universal intestinal disease microbial biomarkers were identified through cross-disease comparisons. In detail, CTRL showed high abundance of the genera Barnesiella, Ruminococcaceae UCG-005, Alistipes, Christensenellaceae R-7 group and unclassified member of Lachnospiraceae family, while DS exhibited high abundance of Lactobacillus, unclassified member of Erysipelotrichaceae family and Streptococcus genera. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  gut diseases; metagenomics; microbial biomarkers; microbiome; microbiota

Mesh:

Substances:

Year:  2017        PMID: 29126267     DOI: 10.1093/femsec/fix153

Source DB:  PubMed          Journal:  FEMS Microbiol Ecol        ISSN: 0168-6496            Impact factor:   4.194


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