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Isolation and Functional Characterization of Human Ventricular Cardiomyocytes from Fresh Surgical Samples
Published on: April 21, 2014
Metabolic characterization of hypertrophic cardiomyopathy in human heart
Wenmin Wang1,2, Jizheng Wang3, Ke Yao1,2
1School of Pharmaceutical Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, China.
Insights
Metabolic changes in hypertrophic cardiomyopathy (HCM) were identified, revealing potential diagnostic markers and therapeutic targets. This research sheds light on the role of metabolism in HCM progression and patient outcomes.
Area of Science:
- Cardiovascular Medicine
- Metabolomics
- Genetics
Background:
- Hypertrophic cardiomyopathy (HCM) is a prevalent inherited cardiovascular disease with varied clinical manifestations.
- While metabolic dysfunction is implicated in many heart conditions, its specific role in HCM remains unclear.
Purpose of the Study:
- To investigate metabolic and lipidomic alterations in individuals with and without HCM.
- To identify potential diagnostic markers and prognostic predictors for HCM.
- To stratify HCM patients into distinct subgroups based on their metabolic profiles.
Main Methods:
- Analysis of metabolome and lipidome in heart and plasma samples from HCM patients and controls.
- Correlation analyses to link metabolic alterations with cardiac function and prognosis.
- Machine learning application for identifying metabolite panels as diagnostic or prognostic tools.
- Integration of metabolomics and proteomics data to identify altered metabolic pathways.
Main Results:
- Significant associations were found between metabolic alterations and cardiac function/prognosis in HCM patients.
- Metabolite panels were identified as potential diagnostic markers and survival predictors for HCM.
- HCM patient stratification into three subgroups with distinct clinical characteristics based on metabolome and lipidome.
- Upregulation of the pentose phosphate pathway and oxidative stress pathways identified in HCM.
Conclusions:
- Metabolic profiling offers insights into HCM pathophysiology and patient stratification.
- Targeting the pentose phosphate pathway and oxidative stress presents a potential therapeutic strategy for HCM.
- Metabolomics can serve as a valuable tool for diagnosing and predicting outcomes in hypertrophic cardiomyopathy.
Abstract:
Hypertrophic cardiomyopathy (HCM) is a common inherited cardiovascular disease with heterogeneous clinical presentations, governed by multiple molecular mechanisms. Metabolic perturbations underlie most cardiovascular diseases; however, the metabolic alterations and their function in HCM are unknown. Here, we describe the metabolome and lipidome of heart and plasma samples from individuals with and without HCM. Correlation analyses showed strong association between metabolic alterations and cardiac function and prognosis of patients with HCM. Using machine learning we identified metabolite panels as potential HCM diagnostic markers or predictors of survival. Clustering based on metabolome and lipidome of heart enabled stratification of patients with HCM into three subgroups with distinct cardiac function and survival. Integration of metabolomics and proteomics data identified metabolic pathways significantly altered in patients with HCM, with the pentose phosphate pathway and oxidative stress being particularly upregulated. Thus, targeting the pentose phosphate pathway and oxidative stress may serve as potential therapeutic strategies for HCM.
Related Concept Videos
Cardiomyopathy I: Introduction and Classification
Cardiomyopathy II: Dilated Cardiomyopathy
Cardiomyopathy III: Hypertrophic Cardiomyopathy

