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Mammalian target of rapamycin signaling in diabetic cardiovascular disease

Overview of attention for article published in Cardiovascular Diabetology, July 2012
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Title
Mammalian target of rapamycin signaling in diabetic cardiovascular disease
Published in
Cardiovascular Diabetology, July 2012
DOI 10.1186/1475-2840-11-45
Pubmed ID
Authors

Zhao Zhong Chong, Kenneth Maiese

Abstract

Diabetes mellitus currently affects more than 170 million individuals worldwide and is expected to afflict another 200 million individuals in the next 30 years. Complications of diabetes as a result of oxidant stress affect multiple systems throughout the body, but involvement of the cardiovascular system may be one of the most severe in light of the impact upon cardiac and vascular function that can result in rapid morbidity and mortality for individuals. Given these concerns, the signaling pathways of the mammalian target of rapamycin (mTOR) offer exciting prospects for the development of novel therapies for the cardiovascular complications of diabetes. In the cardiovascular and metabolic systems, mTOR and its multi-protein complexes of TORC1 and TORC2 regulate insulin release and signaling, endothelial cell survival and growth, cardiomyocyte proliferation, resistance to β-cell injury, and cell longevity. Yet, mTOR can, at times, alter insulin signaling and lead to insulin resistance in the cardiovascular system during diabetes mellitus. It is therefore vital to understand the complex relationship mTOR and its downstream pathways hold during metabolic disease in order to develop novel strategies for the complications of diabetes mellitus in the cardiovascular system.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Researcher 7 15%
Student > Ph. D. Student 7 15%
Student > Bachelor 6 13%
Other 3 7%
Other 7 15%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 28%
Medicine and Dentistry 7 15%
Biochemistry, Genetics and Molecular Biology 5 11%
Immunology and Microbiology 2 4%
Chemistry 2 4%
Other 7 15%
Unknown 10 22%