ArticleExperimental and therapeutic medicine2024
Identification and validation of autophagy‑related genes in hypertrophic cardiomyopathy.
Article in Experimental and therapeutic medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Organelle network dysfunction in primary cardiomyopathy: An integrated perspective on pathogenesis and therapeutics.Journal of molecular and cellular cardiology plus · 2026Review
- Identification of Centrosome Duplication-Related Biomarkers in Hypertrophic Cardiomyopathy Through Integrative Multi-Omics, Single-Cell Transcriptomics, and Experimental Validation.Journal of the American Heart Association · 2026Article
- Identification of Cuproptosis-Associated Biomarker Candidates in Hypertrophic Cardiomyopathy via Machine Learning and Multi-Omics Integration.Applied biochemistry and biotechnology · 2026Article
- Cell death in uveitis: pyroptosis, ferroptosis, apoptosis, and beyond.Frontiers in immunology · 2026Review
- Article
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Hypertrophic cardiomyopathy (HCM) is an autosomal dominant cardiac disorder characterized by ventricular hypertrophy resulting from the disordered arrangement of myocardial cells, which leads to impaired cardiac function or death. Autophagy (AT) is a biochemical process through which lysosomes degrade and recycle damaged or discarded intracellular components to protect cells against external environmental conditions, such as hypoxia and oxidative stress. AT is closely related to HCM, and thus, serves an important role in myocardial hypertrophy. However, the precise mechanism underlying the regulation of AT in cardiac hypertrophy remains elusive. The present study aimed to examine the role and mechanisms of AT-related genes (ARGs) in HCM through bioinformatics analysis and experimental validation and to identify potential targeted drugs for HCM. In this study, cardiac samples were obtained from healthy individuals and patients with HCM from the GEO database, and screened for differentially expressed ARGs to further investigate their potential interactions and functional pathways. These genes were subjected to functional enrichment analysis to identify potential crosstalk and involved pathways. Based on a protein-protein interaction network, EIF4EBP1, MCL1, PIK3R1, CCND1 and PPARG were identified as potential biomarkers for the diagnosis and treatment of HCM. Furthermore, 10 components with therapeutic potential for HCM were predicted based on the aforementioned hub genes. The results of bioinformatics analysis were validated using H9c2 cells stimulated with angiotensin II, which represented an
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