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Published on: June 14, 2016
Signaling Pathways Associated With Prior Cardiovascular Events in Hypertrophic Cardiomyopathy
Charlotte Lee1, Lusha W Liang1, Kohei Hasegawa2
1Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
Insights
This study identified new molecular pathways linked to major adverse cardiovascular events (MACEs) in hypertrophic cardiomyopathy (HCM) patients using proteomics. These findings advance understanding of HCM progression and risk stratification.
Area of Science:
- Cardiology
- Genetics
- Proteomics
Background:
- Hypertrophic cardiomyopathy (HCM) is a common genetic heart condition.
- A significant subset of HCM patients experience major adverse cardiovascular events (MACEs), such as arrhythmias, stroke, and heart failure.
- The molecular drivers of MACEs in HCM remain incompletely understood.
Purpose of the Study:
- To identify dysregulated signaling pathways associated with MACEs in HCM patients.
- To utilize plasma proteomics profiling for discovery.
- To compare patients with and without a history of MACEs.
Main Methods:
- A multicenter case-control study involving 402 HCM patients.
- Plasma proteomics profiling of 4986 proteins.
- Development and external validation of a proteomics-based discrimination model for MACEs.
Main Results:
- The developed model showed strong predictive performance (AUC 0.82 in the test set).
- Patients with prior MACEs exhibited dysregulated pathways, including known ones like TGF-β and novel ones like Ras-MAPK.
- Proteomics identified distinct molecular signatures differentiating HCM patients with and without MACEs.
Conclusions:
- This study successfully identified both established and novel dysregulated pathways in HCM patients with MACEs.
- The findings contribute to a deeper understanding of the molecular mechanisms underlying MACEs in advanced HCM.
- Proteomics profiling offers a promising avenue for identifying risk factors and potential therapeutic targets in HCM.
Background:
Hypertrophic cardiomyopathy (HCM) is the most common genetic cardiomyopathy. A subset of patients experience major adverse cardiovascular events (MACEs), including arrhythmias, strokes and heart failure. However, the molecular mechanisms underlying MACEs in HCM are still not well understood. Therefore, we conducted a multicenter case-control study of patients with HCM, comparing those with and without prior histories of MACEs to identify dysregulated signaling pathways through plasma proteomics profiling.
Methods:
We performed plasma proteomics profiling of 4986 proteins. We developed a proteomics-based discrimination model in patients enrolled at 1 institution (training set) and externally validated the model in patients enrolled at another institution (test set). We performed pathway analysis of proteins dysregulated in patients with prior MACEs.
Results:
A total of 402 patients were included, with 278 in the training set and 124 in the test set. In this cohort, 257 (64%) patients had prior MACEs (172 in the training set and 85 in the test set). Using the proteomics-based model from the training set, the area under the receiver operating characteristic curve was 0.82 (95% confidence interval, 0.75-0.90) in the test set. Patients with prior MACEs demonstrated dysregulation in pathways known to be associated with MACEs (eg, TGF-β) and novel pathways (eg, Ras-MAPK and associated pathways).
Conclusions:
In this multicenter study of 402 patients with HCM, we identified both known and novel pathways dysregulated in a subset of patients with more advanced disease.
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