Transcriptomics

Dataset Information

0

Fecal microbial infusion from lean donors increases insulin sensitivity in subjects with metabolic syndrome


ABSTRACT: Alterations in intestinal microbiota and intestinal short chain fatty acids profiles have been associated with the pathophysiology of obesity and insulin resistance. Whether intestinal microbiota dysbiosis is a causative factor in humans remains to be clarified We examined the effect of fecal microbial infusion from lean donors on the intestinal microbiota composition, glucose metabolism and small intestinal gene expression. Male subjects with metabolic syndrome underwent bowel lavage and were randomised to allogenic (from male lean donors with BMI<23 kg/m2, n=9) or autologous (reinfusion of own feces, n=9) fecal microbial transplant. Insulin sensitivity and fecal short chain fatty acid harvest were measured at baseline and 6 weeks after infusion. Intestinal microbiota composition was determined in fecal samples and jejunal mucosal biopsies were also analyzed for the host transcriptional response. Insulin sensitivity significantly improved six weeks after allogenic fecal microbial infusion (median Rd: from 26.2 to 45.3 μmol/kg.min, p<0.05). Allogenic fecal microbial infusion increased the overall amount of intestinal butyrate producing microbiota and enhanced fecal harvest of butyrate. Moreover, the transcriptome analysis of jejunal mucosal samples revealed an increased expression of genes involved in a G-protein receptor signalling cascade and subsequently in glucose homeostasis. Lean donor microbial infusion improves insulin sensitivity and levels of butyrate-producing and other intestinal microbiota in subjects with the metabolic syndrome. We propose a model wherein these bacteria provide an attractive therapeutic target for insulin resistance in humans. (Netherlands Trial Register NTR1776).

ORGANISM(S): Homo sapiens

PROVIDER: GSE30854 | GEO | 2020/10/28

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2013-10-01 | E-GEOD-48861 | biostudies-arrayexpress
2023-05-12 | PXD028613 | Pride
2013-10-01 | GSE48861 | GEO
2021-03-24 | GSE115426 | GEO
2021-03-24 | GSE115283 | GEO
2018-01-29 | GSE101147 | GEO
2014-03-28 | E-GEOD-56257 | biostudies-arrayexpress
2010-08-20 | E-GEOD-19038 | biostudies-arrayexpress
| PRJNA146155 | ENA
2016-06-01 | E-MTAB-3723 | biostudies-arrayexpress