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    Subclinical detection of diabetic cardiomyopathy with micrornas: challenges and perspectives

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    Date
    2016-01-01
    Author
    León, Luis E.
    Rani, Sweta
    Fernandez, Mauricio
    Larico, Martín
    Calligaris, Sebastián D.
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    Cited 26 times in Scopus (view citations)
    
    Recommended Citation
    León, Luis E. Rani, Sweta; Fernandez, Mauricio; Larico, Martín; Calligaris, Sebastián D. (2016). Subclinical detection of diabetic cardiomyopathy with micrornas: challenges and perspectives. Journal of Diabetes Research ,
    Published Version
    http://doi.org/10.1155/2016/6143129
    Abstract
    The prevalence of cardiac diabetic diseases has been increased around the world, being the most common cause of death and disability among diabetic patients. In particular, diabetic cardiomyopathy is characterized with a diastolic dysfunction and cardiac remodelling without signs of hypertension and coronary artery diseases. In an early stage, it is an asymptomatic disease; however, clinical studies demonstrate that diabetic myocardia are more vulnerable to injury derived by acute myocardial infarct and are the worst prognosis for rehabilitation. Currently, biochemical and imaging diagnostic methods are unable to detect subclinical manifestation of the disease (prior to diastolic dysfunction). In this review, we elaborately discuss the current scientific evidences to propose circulating microRNAs as promising biomarkers for early detection of diabetic cardiomyopathy and, then, to identify patients at high risk of diabetic cardiomyopathy development. Moreover, here we summarise the research strategies to identify miRNAs as potential biomarkers, present limitations, challenges, and future perspectives.
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    http://hdl.handle.net/10379/12419
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