| Literature DB >> 29126267 |
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
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Year: 2017 PMID: 29126267 DOI: 10.1093/femsec/fix153
Source DB: PubMed Journal: FEMS Microbiol Ecol ISSN: 0168-6496 Impact factor: 4.194