Oncotarget

Research Papers: Gerotarget (Focus on Aging):

Identification of cardiac-related circulating microRNA profile in human chronic heart failure

Huaping Li, Jiahui Fan, Zhongwei Yin, Feng Wang, Chen Chen and Dao Wen Wang _

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Abstract

Huaping Li1, Jiahui Fan1, Zhongwei Yin1, Feng Wang1, Chen Chen1 and Dao Wen Wang1

1 Departments of Internal Medicine and The Institute of Hypertension Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Rep. of China

Correspondence to:

Chen Chen, email:

Dao Wen Wang, email:

Keywords: miRNA profile, heart failure, tissue, circulating, Gerotarget

Received: September 01, 2015 Accepted: November 20, 2015 Published: December 16, 2015

Abstract

Background: During chronic heart failure, levels of circulating miRNAs endued with characteristics of diseased cells could be identified as biomarkers. In this study, we sought to identify cardiac-related circulating miRNAs as biomarkers of failing heart.

Methods: Total RNA of plasma and heart samples was extracted from 10 normal controls and 14 patients with chronic heart failure. Microarray was applied for miRNA profiles. Validation and organ/tissue distribution analysis was performed by qRT-PCR. In addition, bioinformatics analysis was performed to understand the critical roles of these cardiac-related circulating miRNAs in heart failure.

Results: Results showed that levels of more than half of the miRNAs dysregulated in heart failed to show any differences in plasma. Meanwhile, more than 90% of the miRNAs dysregulated in plasma remained stable in heart. Four cardiac fibroblast-derived miRNAs (miR-660-3p, miR-665, miR-1285-3p and miR-4491) were found significantly upregulated in heart and plasma during heart failure. These 4 miRNAs strongly discriminated patients from controls, and 3 of them showed significant correlations with LVEF.

Conclusions: This study provides global profiles of miRNAs changes in plasma and failing heart, and using a circulation-tissue miRNA profiling comparison model, we successfully identify 3 cardiac-related circulating miRNAs as potential biomarkers for diagnosis of heart failure.


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