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Distinct Metabolomic Signatures in Preclinical and Obstructive Hypertrophic Cardiomyopathy
Maike Schuldt1, Beau van Driel1, Sila Algül1
1Department of Physiology, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands.
Insights
Serum metabolic signatures reveal unique patterns in preclinical and symptomatic hypertrophic cardiomyopathy (HCM) patients. These findings may improve risk stratification and precision therapeutics for this inherited heart disease.
Area of Science:
- Cardiology
- Metabolomics
- Genetics
Background:
- Hypertrophic Cardiomyopathy (HCM) is a common inherited heart disease.
- Poor risk prediction in HCM is due to incomplete penetrance and unclear genotype-phenotype correlations.
- Altered myocardial energetics are observed in preclinical HCM gene variant carriers.
Purpose of the Study:
- To investigate if disturbed myocardial energetics in HCM are reflected in the serum metabolome.
- To identify potential serum biomarkers for HCM risk stratification.
- To compare metabolic profiles of asymptomatic carriers, obstructive HCM patients, and healthy controls.
Main Methods:
- Untargeted metabolomics using high-resolution mass spectrometry on serum samples.
- Analysis of serum from asymptomatic gene variant carriers (n=31), obstructive HCM patients (n=14), and healthy controls (n=9).
- Multivariate modeling with gradient-boosting classifiers to identify discriminating metabolite panels.
Main Results:
- A panel of 30 serum metabolites effectively discriminated between the three groups.
- Metabolite panels showed performance comparable to advanced cardiac imaging in group differentiation.
- Seven specific metabolites were predictive across different comparisons, potentially indicating disease stage.
Conclusions:
- Unique serum metabolic signatures exist in preclinical and obstructive HCM patients.
- These metabolic signatures may serve as potential biomarkers for HCM risk stratification.
- Findings support the development of precision therapeutics for hypertrophic cardiomyopathy.
Abstract:
Hypertrophic Cardiomyopathy (HCM) is a common inherited heart disease with poor risk prediction due to incomplete penetrance and a lack of clear genotype-phenotype correlations. Advanced imaging techniques have shown altered myocardial energetics already in preclinical gene variant carriers. To determine whether disturbed myocardial energetics with the potential to serve as biomarkers are also reflected in the serum metabolome, we analyzed the serum metabolome of asymptomatic carriers in comparison to healthy controls and obstructive HCM patients (HOCM). We performed non-quantitative direct-infusion high-resolution mass spectrometry-based untargeted metabolomics on serum from fasted asymptomatic gene variant carriers, symptomatic HOCM patients and healthy controls (n = 31, 14 and 9, respectively). Biomarker panels that discriminated the groups were identified by performing multivariate modeling with gradient-boosting classifiers. For all three group-wise comparisons we identified a panel of 30 serum metabolites that best discriminated the groups. These metabolite panels performed equally well as advanced cardiac imaging modalities in distinguishing the groups. Seven metabolites were found to be predictive in two different comparisons and may play an important role in defining the disease stage. This study reveals unique metabolic signatures in serum of preclinical carriers and HOCM patients that may potentially be used for HCM risk stratification and precision therapeutics.
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