Dataset Information

Gut multi-omics profiling in Crohn’s disease: A preliminary study

ABSTRACT: Background: Inflammatory bowel diseases are classic polygenic disorders, with genetic loads that reflect immunopathological processes in response to intestinal microbiota. To assess gut bacterial community, microRNA (miRNA), and short chain fatty acid (SCFA) signatures associated with the activity of Crohn’s disease (CD). Methods: DNA, miRNA, and metabolites were extracted from stool samples of 15 CD patients, eight with active disease and seven in remission, and nine healthy individuals. Microbial, miRNA and SCFA profiles were assessed using datasets from 16s rRNA sequencing, Nanostring miRNA and GC-MS targeted analysis, respectively. Results: Pairwise comparisons showed that 11 and 27 taxa differed between controls and CD patients with active and inactive disease, respectively. Seven taxa were common to both comparisons, whereas eight taxa differed in CD patients. α-Diversity was lower in both CD groups than in controls. The levels of 13 miRNAs differed (p-value <0.05; FC >1.5) in CD patients and controls. Comparisons of controls with CD patients having active and inactive disease identified 12 and seven significantly different miRNAs, respectively. Of six SCFAs, the levels of two differed significantly (p-value <0.05, FC >1.5) in CD patients and controls, and the levels of four differed in patients with active and inactive CD. PLS-DA revealed models with high discriminatory powers (AUC >0.9) for bacteria and miRNA. The levels of 14 miRNAs and 39 bacterial taxa correlated with the level of SCFAs. Conclusion: CD-related gut dysbiosis correlates significantly with miRNA and SCFA profiling, indicating complex relationships among all these factors in response to intestinal inflammation.

ORGANISM(S): Homo sapiens

PROVIDER: GSE144535 | GEO | 2020/08/10

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:The current treatment for Celiac Disease (CD) is adhering to a gluten-free diet (GFD), although its long-term molecular effects are still undescribed. New molecular features detectable in faecal samples may improve and facilitate non-invasive clinical management of CD on GFD. For this purpose, faecal small non-coding RNAs (sncRNAs) and gut microbiome profiles were concomitantly explored in CD subjects in relation to strict (or not) GFD adherence over time. In the present observational study, we performed small RNA and shotgun metagenomic sequencing in stool from 63 treated CD (tCD) subjects and 66 sex- and age-matched healthy controls. tCD included 51 individuals on strict GFD and with negative transglutaminase (TG) serology (tCD-TG-) and 12 symptomatic with not strict/short-time of GFD adherence and positive TG serology (tCD-TG+). Samples from additional 40 adult healthy individuals and from a cohort of 19 untreated paediatric CD subjects and 19 sex/age matched controls were analyzed to further test the outcomes. Several miRNA, other sncRNA (piRNA and tRNA) and microbiota profiles were altered in tCD subjects(adj.p<0.05). Findings were validated in one external group of controls. In tCD-TG-, GFD duration correlated with five miRNA levels (p<0.05): for miR-4533-3p and miR-2681-3p, the longer the diet adherence, the less the expression differed from controls. tCD-TG+ and untreated paediatric CD patients showed a similar miRNA dysregulation. Immune-response, trans-membrane transport and cell death pathways were enriched in targets of identified miRNAs. Bifidobacterium longum, Ruminococcus bicirculans and Haemophilus parainfluenzae abundances shifted (adj. p<0.05) with a progressive reduction of denitrification pathways with GFD length. Integrative analysis highlighted 121 miRNA-bacterial relationships (adj.p<0.05). Specific faecal sncRNA and microbial patterns characterise CD subjects on GFD, reflecting either the long-term effects or the gut inflammatory status, in case of a not strict/short-time adherence. Our findings suggest novel host-microbial interplays and could help the discovery of biomarkers for the clinical monitoring of GFD over time.

Dataset Information

Gut multi-omics profiling in Crohn’s disease: A preliminary study

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure