TY - JOUR
T1 - Identification of universal gut microbial biomarkers of common human intestinal diseases by meta-analysis
AU - Mancabelli, Leonardo
AU - Milani, Christian
AU - Lugli, Gabriele Andrea
AU - Turroni, Francesca
AU - Cocconi, Deborah
AU - van Sinderen, Douwe
AU - Ventura, Marco
N1 - Publisher Copyright:
© FEMS 2017.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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.
AB - 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.
KW - Gut diseases
KW - Metagenomics
KW - Microbial biomarkers
KW - Microbiome
KW - Microbiota
UR - https://www.scopus.com/pages/publications/85041947428
U2 - 10.1093/femsec/fix153
DO - 10.1093/femsec/fix153
M3 - Article
C2 - 29126267
AN - SCOPUS:85041947428
SN - 0168-6496
VL - 93
JO - FEMS Microbiology Ecology
JF - FEMS Microbiology Ecology
IS - 12
M1 - fix153
ER -