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Metabolic Programming, Epigenetics, and Gestational Diabetes Mellitus

Overview of attention for article published in Current Diabetes Reports, November 2011
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Title
Metabolic Programming, Epigenetics, and Gestational Diabetes Mellitus
Published in
Current Diabetes Reports, November 2011
DOI 10.1007/s11892-011-0248-1
Pubmed ID
Authors

Sara E. Pinney, Rebecca A. Simmons

Abstract

The link between an adverse intrauterine environment and the development of disease later in life has been observed in offspring of pregnancies complicated by obesity and diabetes, but the molecular mechanisms underlying this phenomenon are unknown. In this review, we highlight recent publications exploring the role of gestational diabetes mellitus in the programming of disease in the offspring. We also review recent publications aiming to identify mechanisms responsible for the "programming effect" that results from exposure to diabetes in utero. Finally, we highlight research on the role of epigenetic regulation of gene expression in an animal model of uteroplacental insufficiency where the offspring develop diabetes as a model by which an exposure to the mother can alter epigenetic modifications that affect expression of key genes and ultimately lead to the development of diabetes in the offspring.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Chile 2 1%
Italy 2 1%
United Kingdom 1 <1%
Germany 1 <1%
Russia 1 <1%
Croatia 1 <1%
Unknown 162 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 19%
Student > Ph. D. Student 27 16%
Student > Bachelor 23 13%
Researcher 21 12%
Student > Doctoral Student 14 8%
Other 29 17%
Unknown 26 15%
Readers by discipline Count As %
Medicine and Dentistry 58 34%
Agricultural and Biological Sciences 35 20%
Biochemistry, Genetics and Molecular Biology 25 14%
Nursing and Health Professions 6 3%
Neuroscience 4 2%
Other 13 8%
Unknown 32 18%