Multi-omics differentially classify disease state and treatment outcome in pediatric Crohn's disease.

ABSTRACT:

Background

Crohn's disease (CD) has an unclear etiology, but there is growing evidence of a direct link with a dysbiotic microbiome. Many gut microbes have previously been associated with CD, but these have mainly been confounded with patients' ongoing treatments. Additionally, most analyses of CD patients' microbiomes have focused on microbes in stool samples, which yield different insights than profiling biopsy samples.

Results

We sequenced the 16S rRNA gene (16S) and carried out shotgun metagenomics (MGS) from the intestinal biopsies of 20 treatment-naïve CD and 20 control pediatric patients. We identified the abundances of microbial taxa and inferred functional categories within each dataset. We also identified known human genetic variants from the MGS data. We then used

SUBMITTER: Douglas GM 

PROVIDER: S-EPMC5769311 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature