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Journal of Diabetes Research
Volume 2016 (2016), Article ID 6143129, 12 pages
Review Article

Subclinical Detection of Diabetic Cardiomyopathy with MicroRNAs: Challenges and Perspectives

1Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, 7710162 Santiago, Chile
2Regenerative Medicine Institute (REMEDI), National University of Ireland, Galway, Ireland
3Clínica Alemana, 7650568 Santiago, Chile
4Centro de Medicina Regenerativa, Facultad de Medicina, Clínica Alemana-Universidad del Desarrollo, 7710162 Santiago, Chile

Received 1 June 2015; Revised 17 July 2015; Accepted 26 July 2015

Academic Editor: Dirk Westermann

Copyright © 2016 Luis E. León et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.