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Updated: Jul 4, 2025

Tissue-specific miRNA Expression Profiling in Mouse Heart Sections Using In Situ Hybridization
Published on: September 15, 2018
MicroRNAs are associated with cardiac biomarkers, cardiac structure and function and incident outcomes in heart
Aferdita Spahillari1, Laurel Jackson2, Dimitrios Varrias3
1Department of Medicine, Division of Cardiology, Duke University, Durham, NC, USA.
Aims:
The association between microRNAs (miRNAs) and established cardiac biomarkers is largely unknown. We aimed to measure the association between plasma miRNAs and N-terminal pro-B-type natriuretic peptide (NT-proBNP), cardiac troponin I, soluble urokinase-type plasminogen activator receptor (suPAR), and galectin-3 with cardiac structure and function and clinical outcomes.
Methods And Results:
We quantified 32 plasma miRNAs using the FirePlex miRNA assay and measured biomarkers in 139 individuals with symptomatic heart failure (HF). We used principal component (PC) analysis and linear regression to evaluate the association between miRNAs and biomarkers with ventricular size and function by echocardiography and Cox modelling for the incidence of a first composite event of HF hospitalization, heart transplant, left ventricular assist device implant, or death. The mean (standard deviation) age at baseline was 64.3 (12.4) years, 33 (24%) were female, and 122 (88%) were White. A total of 45 events occurred over a median follow-up of 368 (interquartile range 234, 494) days. Baseline NT-proBNP (β = -2.0; P = 0.001) and miRNA PC2 (β = 2.6; P = 0.002) were associated with baseline left ventricular ejection fraction. NT-proBNP (β = 20.6; P = 0.0004), suPAR (β = -39.6; P = 0.005), and PC4 (β = 21.1; P = 0.02) were associated with baseline left ventricular end-diastolic volumes. NT-proBNP [hazard ratio (HR) 1.67, 95% confidence interval (CI) 1.28-2.18, P = 0.0002], galectin-3 (HR 2.02, 95% CI 1.05-3.91, P = 0.036), PC3 (HR 1.75, 95% CI 1.23-2.49, P = 0.002), and PC4 (HR 1.67, 95% CI 1.1-2.52, P = 0.016) were independently associated with incident events.
Conclusions:
Biomarkers and miRNA PCs are associated with cardiac structure and function and incident cardiovascular outcomes. Combining information from miRNAs provides prognostic information beyond biomarkers in HF.
Insights
Plasma microRNAs (miRNAs) and cardiac biomarkers are linked to heart structure and outcomes in heart failure patients. miRNA patterns offer prognostic information beyond traditional biomarkers.
Area of Science:
- Cardiovascular Disease Research
- Biomarker Discovery
- Molecular Cardiology
Background:
- The relationship between microRNAs (miRNAs) and established cardiac biomarkers is not well understood.
- Investigating novel plasma miRNAs alongside known biomarkers like NT-proBNP, troponin I, suPAR, and galectin-3 is crucial for understanding heart failure (HF).
Purpose of the Study:
- To assess the association between plasma miRNAs and cardiac biomarkers with cardiac structure and function.
- To determine the predictive value of miRNAs and biomarkers for clinical outcomes in individuals with symptomatic heart failure.
Main Methods:
- Quantified 32 plasma miRNAs using the FirePlex assay in 139 HF patients.
- Utilized principal component (PC) analysis and linear regression for associations with echocardiographic measures.
- Employed Cox modeling to analyze the incidence of major adverse cardiovascular events.
Main Results:
- Specific miRNA PCs and biomarkers (NT-proBNP, suPAR, galectin-3) were significantly associated with left ventricular size and function.
- NT-proBNP, galectin-3, and specific miRNA PCs (PC3, PC4) independently predicted adverse cardiovascular events.
Conclusions:
- Plasma miRNAs and established biomarkers are associated with cardiac structure, function, and clinical outcomes in HF.
- miRNA profiling provides prognostic information that complements traditional biomarkers, improving risk stratification in heart failure.
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