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Heart failure: Pilot transcriptomic analysis of cardiac tissue by RNA-sequencing
Concetta Schiano1, Valerio Costa, Marianna Aprile
1IRCCS SDN, Naples, Italy. cschiano@sdn-napoli.it.
Cardiology Journal
|May 13, 2017
Summary
This study identified specific gene and long noncoding RNA (lncRNA) expression patterns in heart failure (HF) patients. These findings suggest novel myocardial biomarkers for improved diagnosis and treatment of left ventricular (LV) dysfunction.
Area of Science:
- Molecular Biology
- Cardiovascular Research
- Genomics
Background:
- Left ventricular (LV) dysfunction is a major cause of mortality in chronic heart failure (HF).
- The molecular mechanisms underlying LV failure remain poorly understood, and effective myocardial biomarkers are lacking.
- This pilot study aimed to identify specific transcriptome changes in HF cardiac tissues.
Purpose of the Study:
- To investigate transcriptome alterations in cardiac tissues of patients with heart failure (HF).
- To identify potential novel myocardial biomarkers for improved diagnosis and treatment of LV dysfunction.
- To compare gene and long noncoding RNA (lncRNA) expression profiles in HF patients versus healthy controls.
Main Methods:
- Selected a homogeneous population of dilated cardiomyopathy (DCM) and restrictive cardiomyopathy (RCM) patients without a family history of the disease.
- Performed RNA-sequencing (RNA-Seq) on cardiac tissue samples from HF patients and healthy donors.
- Utilized RNA-SeqGUI for data analysis, including filtering and normalization of read counts.
Main Results:
- Identified DCM- and RCM-specific expression signatures for protein-coding genes and long noncoding RNAs (lncRNAs).
- Disclosed differential expression of 5 genes encoding members of the mediator complex.
- Found significant alterations in 27 lncRNA/mRNA pairs and identified previously unassociated genes in HF patients.
Conclusions:
- Revealed distinct expression patterns of protein-coding genes and lncRNAs in heart failure (HF) patients.
- Confirmed the potential of Next-Generation Sequencing-based approaches for identifying novel LV myocardial biomarkers.
- Suggests new avenues for diagnosing and potentially treating heart failure.
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