Dataset Information

Gut microbiome structure and metabolic activity in inflammatory bowel disease

ABSTRACT: The inflammatory bowel diseases (IBD), which include Crohn’s disease (CD) and ulcerative colitis (UC), are multifactorial, chronic conditions of the gastrointestinal tract. While IBD has been associated with dramatic changes in the gut microbiota, changes in the gut metabolome -- the molecular interface between host and microbiota -- are less-well understood. To address this gap, we performed untargeted LC-MS metabolomic and shotgun metagenomic profiling of cross-sectional stool samples from discovery (n=155) and validation (n=65) cohorts of CD, UC, and non-IBD control subjects. Metabolomic and metagenomic profiles were broadly correlated with fecal calprotectin levels (a measure of gut inflammation). Across >8,000 measured metabolite features, we identified chemicals and chemical classes that were differentially abundant (DA) in IBD, including enrichments for sphingolipids and bile acids, and depletions for triacylglycerols and tetrapyrroles. While >50% of DA metabolite features were uncharacterized, many could be assigned putative roles through metabolomic “guilt-by-association” (covariation with known metabolites). DA species and functions from the metagenomic profiles reflected adaptation to oxidative stress in the IBD gut, and were individually consistent with previous findings. Integrating these data, however, we identified 122 robust associations between DA species and well-characterized DA metabolites, indicating possible mechanistic relationships that are perturbed in IBD. Finally, we found that metabolome- and metagenome-based classifiers of IBD status were highly accurate and, like the vast majority of individual trends, generalized well to the independent validation cohort. Our findings thus provide an improved understanding of perturbations of the microbiome-metabolome interface in IBD, including identification of many potential diagnostic and therapeutic targets.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Feces

SUBMITTER: Julian Avila-Pacheco

PROVIDER: ST001000 | MetabolomicsWorkbench | Mon Jul 09 00:00:00 BST 2018

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	mwtab	Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Inflammatory bowel disease (IBD) is a complex multi-factorial inflammatory disease with Crohn’s disease (CD) and ulcerative colitis (UC) being the two most common forms. A number of transcriptional profiling studies have provided compelling evidence that describe the role of protein-coding genes and microRNAs in modulating the immune responses in IBD. In the present study, we performed a genome-wide transcriptome profiling of lncRNAs and protein-coding genes in inflamed and non-inflamed colon pinch biopsies from the IBD patients using expression microarrays platform. In this study, we identified widespread dysregulation of lncRNAs and protein-coding genes in both inflamed and non-inflamed CD and UC compared to the healthy controls. In case of inflamed CD and UC (iCD and iUC), we identified 438 and 745 differentially expressed lncRNAs, respectively, while in case of the non-inflamed CD and UC (niCD and niUC), we identified 12 and 19 differentially expressed lncRNAs, respectively. We also observed significant enrichment (p-value < 0.001, Pearson’s Chi-squared test) for 96 differentially expressed lncRNAs and 154 protein-coding genes within the IBD susceptibility loci. Furthermore, we found strong positive expression correlations for the intersecting and cis-neighboring differentially expressed IBD loci-associated lncRNA-protein-coding gene pairs. The functional annotation analysis of differentially expressed genes revealed that they are involved in immune response, pro-inflammatory cytokine activity and MHC protein complex. The lncRNA expression profiling in both inflamed and non-inflamed CD and UC, successfully stratified IBD patients from the healthy controls. Taken together, the identified lncRNA transcriptional signature along with clinically relevant parameters suggests their potential as biomarkers in IBD. A total of 96 biopsy samples (including 6 samples used as technical replicates) extracted from different colonic locations from 45 patients (CD=13, UC=20, Controls=12) were profiled using Agilent Custom 8x60K format lncRNA expression microarray. In Gencode v15 lncRNA microarray design, each lncRNA transcript is targeted by two probes covering 22,001 lncRNA transcripts corresponding to 12,963 lncRNA genes. In addition, each array contains 17,535 randomly-selected protein-coding targets, of which 15,182 (unique 12,787) correspond to protein-coding genes.

Dataset Information

Gut microbiome structure and metabolic activity in inflammatory bowel disease

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets