Article: Transcriptome data analysis of primary cardiomyopathies reveals perturbations in arachidonic acid metabolism.
Frontiers in cardiovascular medicine
2023 Volume 10, Page(s) 1110119
Abstract: Introduction: Cardiomyopathies are complex heart diseases with significant prevalence around the world. Among these, primary forms are the major contributors to heart failure and sudden cardiac death. As a high-energy demanding engine, the heart ... ...
Abstract | Introduction: Cardiomyopathies are complex heart diseases with significant prevalence around the world. Among these, primary forms are the major contributors to heart failure and sudden cardiac death. As a high-energy demanding engine, the heart utilizes fatty acids, glucose, amino acid, lactate and ketone bodies for energy to meet its requirement. However, continuous myocardial stress and cardiomyopathies drive towards metabolic impairment that advances heart failure (HF) pathogenesis. So far, metabolic profile correlation across different cardiomyopathies remains poorly understood. Methods: In this study, we systematically explore metabolic differences amongst primary cardiomyopathies. By assessing the metabolic gene expression of all primary cardiomyopathies, we highlight the significantly shared and distinct metabolic pathways that may represent specialized adaptations to unique cellular demands. We utilized publicly available RNA-seq datasets to profile global changes in the above diseases (| Results: Our analysis demonstrates that genes in arachidonic acid metabolism (AA) are significantly perturbed across cardiomyopathies. In particular, the arachidonic acid metabolism gene Conclusion: The profound significance of AA metabolism within the cardiovascular system renders it a key player in modulating the phenotypes of cardiomyopathies. |
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Language | English |
Publishing date | 2023-05-23 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2781496-8 |
ISSN | 2297-055X |
ISSN | 2297-055X |
DOI | 10.3389/fcvm.2023.1110119 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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