Key result
A model combining three microRNAs and clinical variables identifies severe idiopathic DCM with 0.96 AUC.
Why the study?
Left ventricular ejection fraction is key to prognosis in dilated cardiomyopathy, but clinicians need improved tools to clarify ejection fraction categorization and identify high-risk patients.
Can a circulating microRNA profile combined with clinical variables accurately categorize the severity of left ventricular ejection fraction reduction in patients with dilated cardiomyopathy?
Cross-Sectional (n=159)
No
Can a circulating microRNA profile combined with clinical variables accurately categorize the severity of left ventricular ejection fraction reduction in patients with dilated cardiomyopathy?
Effect estimate: AUC 0.96 (95% CI 0.884-1.00)
p-value: p=<0.001
A novel three-microRNA signature combined with clinical variables can accurately identify idiopathic dilated cardiomyopathy patients with severely reduced ejection fraction, offering a potential blood-based prognostic biomarker.
The left ventricular (LV) ejection fraction (EF) is key to prognosis in dilated cardiomyopathy (DCM). Circulating microRNAs have emerged as reliable biomarkers for heart diseases, included DCM. Clinicians need improved tools for greater clarification of DCM EF categorization, to identify high-risk patients. Thus, we investigated whether microRNA profiles can categorize DCM patients based on their EF. 179-differentially expressed circulating microRNAs were screened in two groups: (1) non-idiopathic DCM; (2) idiopathic DCM. Then, 26 microRNAs were identified and validated in the plasma of ischemic-DCM (n = 60), idiopathic-DCM (n = 55) and healthy individuals (n = 44). We identified fourteen microRNAs associated with echocardiographic variables that differentiated idiopathic DCM according to the EF degree. A predictive model of a three-microRNA (miR-130b-3p, miR-150-5p and miR-210-3p) combined with clinical variables (left bundle branch block, left ventricle end-systolic dimension, lower systolic blood pressure and smoking habit) was obtained for idiopathic DCM with a severely reduced-EF. The receiver operating characteristic curve analysis supported the discriminative potential of the diagnosis. Bioinformatics analysis revealed that miR-150-5p and miR-210-3p target genes might interact with each other with a high connectivity degree. In conclusion, our results revealed a three-microRNA signature combined with clinical variables that highly discriminate idiopathic DCM categorization. This is a potential novel prognostic biomarker with high clinical value.
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Calderón‐Domínguez et al. (2021) conducted a cross-sectional in Dilated cardiomyopathy (n=159). Three-microRNA signature (miR-130b-3p, miR-150-5p, miR-210-3p) combined with clinical variables vs. Moderately reduced ejection fraction (31-49%) was evaluated on Discrimination of idiopathic DCM with severely reduced ejection fraction (≤30%) (AUC 0.96, 95% CI 0.884-1.00, p=<0.001). A predictive model combining three microRNAs (miR-130b-3p, miR-150-5p, and miR-210-3p) and clinical variables accurately discriminated idiopathic dilated cardiomyopathy patients with severely reduced ejection fraction with an AUC of 0.96.
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