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Cardiovascular microRNAs: as modulators and diagnostic biomarkers of diabetic heart disease

Overview of attention for article published in Cardiovascular Diabetology, February 2014
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Title
Cardiovascular microRNAs: as modulators and diagnostic biomarkers of diabetic heart disease
Published in
Cardiovascular Diabetology, February 2014
DOI 10.1186/1475-2840-13-44
Pubmed ID
Authors

Shruti Rawal, Patrick Manning, Rajesh Katare

Abstract

Diabetic heart disease (DHD) is the leading cause of morbidity and mortality among the people with diabetes, with approximately 80% of the deaths in diabetics are due to cardiovascular complications. Importantly, heart disease in the diabetics develop at a much earlier stage, although remaining asymptomatic till the later stage of the disease, thereby restricting its early detection and active therapeutic management. Thus, a better understanding of the modulators involved in the pathophysiology of DHD is necessary for the early diagnosis and development of novel therapeutic implications for diabetes-associated cardiovascular complications. microRNAs (miRs) have recently been evolved as key players in the various cardiovascular events through the regulation of cardiac gene expression. Besides their credible involvement in controlling the cellular processes, they are also released in to the circulation in disease states where they serve as potential diagnostic biomarkers for cardiovascular disease. However, their potential role in DHD as modulators as well as diagnostic biomarkers is largely unexplored. In this review, we describe the putative mechanisms of the selected cardiovascular miRs in relation to cardiovascular diseases and discuss their possible involvement in the pathophysiology and early diagnosis of DHD.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 1%
Brazil 1 1%
Unknown 87 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 19%
Student > Ph. D. Student 15 17%
Researcher 11 12%
Student > Bachelor 10 11%
Student > Doctoral Student 7 8%
Other 16 18%
Unknown 13 15%
Readers by discipline Count As %
Medicine and Dentistry 20 22%
Agricultural and Biological Sciences 20 22%
Biochemistry, Genetics and Molecular Biology 15 17%
Engineering 3 3%
Nursing and Health Professions 3 3%
Other 11 12%
Unknown 17 19%