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Cardiomyopathy II: Dilated Cardiomyopathy

Cardiomyopathy II: Dilated Cardiomyopathy

Dilated cardiomyopathy, or DCM, is a progressive myocardial disorder characterized by ventricular chamber dilation and contractile dysfunction.EtiologyVarious factors can cause DCM, including hypertension and heavy alcohol intake, which contribute to the weakening and enlargement of the heart muscle. Viral infections, such as Coxsackievirus B, adenoviruses, and influenza, can lead to DCM by causing inflammation and damage to heart tissue. Certain chemotherapeutic agents, including daunorubicin,...

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Digital PCR for Quantifying Circulating MicroRNAs in Acute Myocardial Infarction and Cardiovascular Disease

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Circulating miRNA-Protein Signatures Predict Outcomes in Pediatric Dilated Cardiomyopathy.

Amanda R Vicentino¹, Anis Karimpour-Fard², Taye Hamza³

¹Department of Medicine, Division of Cardiology, University of Colorado Anschutz Medical Campus CO.

Biorxiv : the Preprint Server for Biology

|March 27, 2026

Summary

Biomarkers in pediatric dilated cardiomyopathy (DCM) can predict patient outcomes. Circulating miRNA and protein signatures show promise for early risk stratification in children with DCM.

Keywords:

biomarkers machine learning pediatric dilated cardiomyopathy secreted factors

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Area of Science:

Cardiology
Genomics
Proteomics

Background:

Pediatric dilated cardiomyopathy (DCM) is a rare, progressive heart condition with unpredictable outcomes.
Currently, there are no established prognostic biomarkers for children diagnosed with DCM.
Identifying circulating biomarkers is crucial for tailoring patient management and predicting clinical trajectories.

Purpose of the Study:

To identify circulating miRNA and protein signatures associated with clinical outcomes in pediatric DCM.
To explore the predictive ability of these biomarkers for distinguishing between recovery and poor outcomes.
To investigate the underlying biological pathways implicated in divergent clinical trajectories.

Main Methods:

Serum samples from pediatric DCM patients were analyzed using RNA-seq for miRNA identification and SomaScan® for protein profiling.
Machine learning methodologies were employed to assess the predictive power of identified circulating factors.
Ingenuity Pathway Analysis was used to explore biological pathways associated with patient outcomes.

Main Results:

Distinct miRNA and protein signatures differentiated between patients who recovered and those with poor outcomes (e.g., transplantation, mechanical support, death).
Top candidate proteins (COL2A1, CXCL12, ADGRF5) and miRNAs (miR-874-3p, miR-335-3p, miR-323a-3p) showed strong discriminatory performance (AUC 0.92).
Pathway analysis indicated that cardiac remodeling, fibrosis, and inflammatory signaling are key pathways differentiating patient outcomes.

Conclusions:

Circulating miRNA and protein signatures at presentation can identify a molecular profile associated with divergent clinical trajectories in pediatric DCM.
These multi-omic biomarkers show potential for early risk stratification in pediatric DCM patients.
The findings provide insights into the mechanisms underlying divergent outcomes, supporting personalized management strategies.