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Updated: Apr 27, 2026

Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
Published on: January 31, 2025
Plasma proteomics stratification identifies phospholamban R14del carriers at risk for disease progression
Frederik E Deiman1, Taner Arslan2, Remco de Brouwer1
1Department of Cardiology, University of Groningen, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.
Molecular profiling of phospholamban (PLN) p.Arg14del mutation carriers reveals distinct subgroups. Early cardiac damage markers in asymptomatic carriers (PLN R14Δ/+) can predict disease progression and adverse events.
Area of Science:
- Cardiovascular Genetics
- Molecular Cardiology
- Precision Medicine
Background:
- Incomplete penetrance in genetic cardiomyopathy, particularly the phospholamban (PLN) p.Arg14del (R14Δ/+) mutation, presents a challenge in understanding disease variability.
- Identifying circulating molecular signatures is crucial for predicting disease progression and outcomes in mutation carriers.
Purpose of the Study:
- To investigate the plasma molecular signature in R14Δ/+ carriers.
- To associate these molecular profiles with clinical phenotypes, disease progression, and risk stratification.
Main Methods:
- Targeted proteomics, metabolomics, and lipidomics on plasma from 87 R14Δ/+ carriers.
- Unsupervised clustering of proteomic data to identify subgroups.
- Integration of metabolomic and lipidomic data with clinical parameters (HF symptoms, LVEF, NT-proBNP) and follow-up data.
Main Results:
- Five distinct clusters of R14Δ/+ carriers were identified based on plasma proteomics.
- Clusters associated with advanced disease (higher NT-proBNP, lower LVEF) showed elevated levels of specific metabolites (e.g., SDMA, SAMe, AICAR).
- Asymptomatic carriers in Cluster 1 exhibited elevated apoptosis markers, indicating early cardiac damage and increased risk for adverse events (HF hospitalization, mortality).
Conclusions:
- Molecular profiling identifies distinct risk subgroups within R14Δ/+ cardiomyopathy carriers.
- Early detection of cardiac damage markers enables risk stratification and timely intervention.
- Understanding molecular signatures can improve insights into disease variability and progression.
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