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Protein Biomarkers of Adverse Clinical Features and Events in Sarcomeric Hypertrophic Cardiomyopathy
Usman A Tahir1, Paul Kolm2, Raymond Y Kwong3
1Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA (U.A.T., S.D., E.A., G.T., R.E.G.).
Insights
Plasma proteomic profiling reveals biomarkers linked to varied hypertrophic cardiomyopathy (HCM) severity. These findings offer insights into HCM
Area of Science:
- Cardiovascular Medicine
- Proteomics
- Genetics
Background:
- Hypertrophic cardiomyopathy (HCM) presents diverse clinical outcomes, from mild impact to severe events like atrial fibrillation, heart failure, and sudden cardiac death.
- The underlying mechanisms driving this phenotypic heterogeneity in HCM remain poorly understood.
- Identifying reliable biomarkers is crucial for understanding and managing HCM's varied clinical trajectory.
Purpose of the Study:
- To investigate plasma proteomic profiles in patients with sarcomeric hypertrophic cardiomyopathy (HCM).
- To identify circulating protein biomarkers associated with clinical heterogeneity and adverse outcomes in HCM.
- To explore novel pathways implicated in HCM pathophysiology through proteomic analysis.
Main Methods:
- Utilized the Olink antibody-based proteomic platform to measure 275 plasma proteins in 701 patients with genotype-positive (sarcomeric) HCM.
- Assessed associations between protein levels and clinical features, cardiac magnetic resonance imaging (CMR) metrics, and incident atrial fibrillation.
- Correlated protein levels with established risk scores and imaging markers like late gadolinium enhancement (LGE).
Main Results:
- Late gadolinium enhancement (LGE) showed associations with proteins involved in neurohormonal activation, including NT-proBNP and ACE2.
- Left ventricular remodeling metrics were novelly linked to proteins in vascular development and homeostasis, such as VEGF-D and TM.
- Incident atrial fibrillation was associated with inflammatory and fibrotic mediators, specifically MMP2 and SPON1.
- The European Society of Cardiology sudden cardiac death risk score was inversely associated with stem cell factor (SCF).
Conclusions:
- Plasma proteomic profiling in sarcomeric HCM identified biomarkers correlated with adverse imaging and clinical phenotypes.
- Circulating proteins identified relate to known pathways (neurohormonal activation, fibrosis) and less characterized ones (endothelial function, inflammation) in HCM.
- These findings underscore the utility of plasma profiling for discovering risk biomarkers and advancing the understanding of HCM pathophysiology.
Background:
Hypertrophic cardiomyopathy (HCM) is a heterogeneous condition that can lead to atrial fibrillation, heart failure, and sudden cardiac death in many individuals but mild clinical impact in others. The mechanisms underlying this phenotypic heterogeneity are not well defined. The aim of this study was to use plasma proteomic profiling to help illuminate biomarkers that reflect or inform the heterogeneity observed in HCM.
Methods:
The Olink antibody-based proteomic platform was used to measure plasma proteins in patients with genotype positive (sarcomeric) HCM participating in the HCM Registry. We assessed associations between plasma protein levels with clinical features, cardiac magnetic resonance imaging metrics, and the development of atrial fibrillation.
Results:
We measured 275 proteins in 701 patients with sarcomeric HCM. There were associations between late gadolinium enhancement with proteins reflecting neurohormonal activation (NT-proBNP [N-terminal pro-B-type natriuretic peptide] and ACE2 [angiotensin-converting enzyme 2]). Metrics of left ventricular remodeling had novel associations with proteins involved in vascular development and homeostasis (vascular endothelial growth factor-D and TM [thrombomodulin]). Assessing clinical features, the European Society of Cardiology sudden cardiac death risk score was inversely associated with SCF (stem cell factor). Incident atrial fibrillation was associated with mediators of inflammation and fibrosis (MMP2 [matrix metalloproteinase 2] and SPON1 [spondin 1]).
Conclusions:
Proteomic profiling of sarcomeric HCM identified biomarkers associated with adverse imaging and clinical phenotypes. These circulating proteins are part of both established pathways, including neurohormonal activation and fibrosis, and less familiar pathways, including endothelial function and inflammatory proteins less well characterized in HCM. These findings highlight the value of plasma profiling to identify biomarkers of risk and to gain further insights into the pathophysiology of HCM.
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