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Reproductive Biology and Endocrinology

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Open Access 01-12-2015 | Research

Resveratrol relieves gestational diabetes mellitus in mice through activating AMPK

Authors: Liangqi Yao, Jipeng Wan, Hongyan Li, Jian Ding, Yanyun Wang, Xietong Wang, Mingjiang Li

Published in: Reproductive Biology and Endocrinology | Issue 1/2015

Abstract

Background

Gestational diabetes mellitus (GDM) is a disease often manifests in mid to late pregnancy with symptoms including hyperglycemia, insulin resistance and fetal mal-development. The C57BL/KsJ-Lep ^db/+ (db/+) mouse is a genetic GDM model that closely mimicked human GDM symptoms. Resveratrol (RV) is a naturally existing compound that has been reported to exhibit beneficial effects in treating type-2 diabetes.

Methods

In this study, we investigated the effect of RV on the pregnant db/+ GDM mouse model, and the underlying molecular mechanism.

Results

RV greatly improved glucose metabolism, insulin tolerance and reproductive outcome of the pregnant db/+ females. Moreover, we found that RV relieved GDM symptoms through enhancing AMPK activation, which in turn reduced production and activity of glucose-6-phosphatase in both pregnant db/+ females and their offspring.

Conclusions

Our findings further supported the potential therapeutic effect of RV on not only diabetes, but also alleviating GDM.

Available only for authorised users

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Title: Resveratrol relieves gestational diabetes mellitus in mice through activating AMPK
Authors: Liangqi Yao
Jipeng Wan
Hongyan Li
Jian Ding
Yanyun Wang
Xietong Wang
Mingjiang Li
Publication date: 01-12-2015
Publisher: BioMed Central
Published in: Reproductive Biology and Endocrinology / Issue 1/2015
Electronic ISSN: 1477-7827
DOI: https://doi.org/10.1186/s12958-015-0114-0

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Resveratrol relieves gestational diabetes mellitus in mice through activating AMPK

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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