Suppr超能文献

微小RNA对糖尿病心肌病的亚临床检测:挑战与展望

Subclinical Detection of Diabetic Cardiomyopathy with MicroRNAs: Challenges and Perspectives.

作者信息

León Luis E, Rani Sweta, Fernandez Mauricio, Larico Martín, Calligaris Sebastián D

机构信息

Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, 7710162 Santiago, Chile.

Regenerative Medicine Institute (REMEDI), National University of Ireland, Galway, Ireland.

出版信息

J Diabetes Res. 2016;2016:6143129. doi: 10.1155/2016/6143129. Epub 2015 Dec 6.

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.

摘要

心脏糖尿病疾病在全球的患病率一直在上升,是糖尿病患者死亡和残疾的最常见原因。特别是,糖尿病性心肌病的特征是舒张功能障碍和心脏重塑,而无高血压和冠状动脉疾病的迹象。在早期,它是一种无症状疾病;然而,临床研究表明,糖尿病心肌更容易受到急性心肌梗死所致损伤的影响,并且康复预后最差。目前,生化和影像学诊断方法无法检测到该疾病的亚临床症状(在舒张功能障碍之前)。在本综述中,我们详细讨论了当前的科学证据,提出循环微RNA作为糖尿病性心肌病早期检测的有前景的生物标志物,进而识别有糖尿病性心肌病发生高风险的患者。此外,我们在此总结了将微RNA鉴定为潜在生物标志物的研究策略、当前的局限性、挑战及未来展望。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验