Resveratrol supplementation does not improve metabolic function in non-obese women with normal glucose tolerance
Transcriptomics Dataset
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General Information
AccessionGSE41168
TitleResveratrol supplementation does not improve metabolic function in non-obese women with normal glucose tolerance
DescriptionResveratrol has been reported to improve metabolic function in metabolically-abnormal rodents and humans, but has not been studied in non-obese people with normal glucose tolerance. We conducted a randomized, double-blind, placebo-controlled trial to evaluate the metabolic effects of 12 weeks of resveratrol supplementation (75 mg/day) in non-obese, postmenopausal women with normal glucose tolerance. Although resveratrol supplementation was well-tolerated and increased plasma resveratrol concentration without adverse effects, it did not change body composition, resting metabolic rate, plasma lipids, or inflammatory markers. A two-stage hyperinsulinemic-euglycemic clamp procedure, in conjunction with stable isotopically-labeled tracer infusions, demonstrated that resveratrol did not increase liver, skeletal muscle, or adipose tissue insulin sensitivity. Consistent with the absence of in vivo metabolic effects, resveratrol did not affect its putative molecular targets, including AMPK, Sirt1, Nampt, and Pgc-1, in either skeletal muscle or adipose tissue. These findings demonstrate that resveratrol supplementation does not have metabolic effects in non-obese women.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE41168
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Keyword
Dataset Accession

Enrichr
Published May 2016
A comprehensive gene set enrichment analysis web server 2016 update
7759
65
Characteristic Direction
Published March 2014
A geometrical multivariate approach to identify differentially expressed genes
26829
GeneMANIA
Published June 2010
Biological network integration for gene prioritization and predicting gene function
7435
L1000CDS2
Published August 2016
An ultra-fast LINCS L1000 Characteristic Direction signature search engine
7756
PAEA
Published November 2015
Enrichment analysis tool implementing the principal angle method
3879
Canned Analyses generated with the dataset

Dataset Accession
Tool Name
Direction
Cell Type
Geneset

Small molecules which mimic Resveratrol treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Resveratrol treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
Small molecules which mimic Resveratrol treatment
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse Resveratrol treatment
The L1000 database was queried in order to identify small molecule perturbations which rev...
Enrichment analysis of genes dysregulated following Resveratrol treatment
An enrichment analysis was performed on the top most dyresgulated genes determined by appl...
Enrichment analysis of genes dysregulated following Resveratrol treatment
An enrichment analysis was performed on the top most dyresgulated genes determined by appl...
Interaction network and enrichment analysis of genes downregulated following Resveratrol treatment
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Interaction network and enrichment analysis of genes upregulated following Resveratrol treatment
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Interaction network and enrichment analysis of genes downregulated following Resveratrol treatment
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Interaction network and enrichment analysis of genes upregulated following Resveratrol treatment
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
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