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E-GEOD-41168 GSE41168 transcription profiling by array Homo sapiens

Resveratrol supplementation does not improve metabolic function in non-obese women with normal glucose tolerance

·发布 2013年1月2日 ·更新 2014年6月2日
140
样本数
140
实验数
1
芯片平台
实验描述

Resveratrol 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-1α, in either skeletal muscle or adipose tissue. These findings demonstrate that resveratrol supplementation does not have metabolic effects in non-obese women. We compared gene expression profile in subcutaneous abdominal adipose tissue and skeletal muscle (vastus lateralis) biopsy samples obtained from non-obese people before and after 1) placebo (PLC), 2) resveratrol (RES), and 3) calorie restriction (CR) intervention.

芯片平台
A-AFFY-44
Affymetrix GeneChip Human Genome U133 Plus 2.0 [HG-U133_Plus_2](140 例)
样本属性
Organism
Homo sapiens
organism part
adipose tissue, muscle
sample group
calorie restrictive, placebo, resveratrol
sex
female
实验信息
登记号
E-GEOD-41168
GEO 编号
GSE41168
实验类型
transcription profiling by array
物种
Homo sapiens
发布日期
2013年1月2日
更新日期
2014年6月2日
提交者
Bettina Mittendorfer、 C. Charles Gu、 Kenneth B Schechtman、 Jun Yoshino、 Caterina Conte、 Luigi Fontana、 Samuel Klein、 Bruce W Patterson、 Flippo R Fanelli、 C C Gu、 Shin-ichiro Imai、 Iris Kunz
分析服务
分析服务

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