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Updated: Jan 27, 2026

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
Published on: August 8, 2022
Identification of key proteins and lncRNAs in hypertrophic cardiomyopathy by integrated network analysis
Xiaofeng Hu1, Guilin Shen2, Xiaoli Lu2
1Department of Cardiology, Zhejiang Hospital, Hangzhou, Zhejiang Province, China.
Insights
This study identified key long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) dysregulated in hypertrophic cardiomyopathy (HCM). These findings shed light on molecular mechanisms and potential biomarkers for HCM diagnosis.
Area of Science:
- Genomics
- Molecular Biology
- Cardiovascular Research
Background:
- Hypertrophic cardiomyopathy (HCM) is a genetic heart disorder causing sudden cardiac death in young individuals.
- The precise molecular mechanisms driving HCM progression remain largely unknown.
- Non-coding RNAs are increasingly recognized for their roles in human disease pathogenesis.
Purpose of the Study:
- To identify differentially expressed long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs) in hypertrophic cardiomyopathy (HCM).
- To analyze the molecular pathways and interactions associated with these dysregulated genes in HCM.
- To uncover potential molecular targets and biomarkers for HCM.
Main Methods:
- Bioinformatics analysis of a public dataset (GSE36961) for HCM.
- Gene Ontology (GO) analysis to assess the functions of differentially expressed genes and lncRNAs.
- Construction of protein-protein interaction (PPI) and co-expression networks to identify key lncRNAs and their interactions.
Main Results:
- Identified 6147 differentially expressed mRNAs and 126 dysregulated lncRNAs in HCM.
- GO analysis revealed associations with metabolism, energy pathways, signal transduction, and cell communication.
- Key lncRNAs including TSPYL3, LOC401431, LOC158376, LOC606724, PDIA3P, and LOH3CR2A were identified as crucial in HCM progression.
Conclusions:
- The study identified specific lncRNAs and mRNAs involved in HCM progression through regulatory pathways.
- These findings offer insights into the molecular mechanisms underlying HCM.
- The identified molecules represent potential candidate biomarkers for HCM diagnosis and therapeutic strategies.
Introduction:
Hypertrophic cardiomyopathy (HCM), a genetically heterogeneous disorder of cardiac myocytes, is one of the main causes of sudden cardiac death of young people. However, the molecular mechanism involved in HCM has remained largely unclear. Of note, non-coding RNAs were reported to play an important role in human diseases. In this study, we focused on identifying differentially expressed long non-coding RNA (lncRNAs) and mRNAs in HCM by analyzing a public dataset (GSE36961).
Material And Methods:
We performed bioinformatics analysis to explore key pathways underlying HCM progression. Gene Ontology (GO) analysis was first performed to evaluate the potential roles of differentially expressed genes and lncRNAs in HCM. Moreover, protein-protein interaction (PPI) networks were constructed to reveal interactions among differentially expressed proteins. Specifically, co-expression networks were also constructed to identify hub lncRNAs in HCM.
Results:
A total of 6147 mRNAs (p < 0.001) and 126 lncRNAs (p < 0.001) were found to be dysregulated in HCM. Gene Ontology (GO) analysis showed that these differentially expressed genes and lncRNAs were associated with metabolism, energy pathways, signal transduction, and cell communication. Moreover, TSPYL3, LOC401431, LOC158376, LOC606724, PDIA3P and LOH3CR2A (p < 0.001) were identified as key lncRNAs in HCM progression.
Conclusions:
Taken together, our analysis revealed a series of lncRNAs and mRNAs that were differentially expressed in HCM and which were involved in HCM progression by regulating pathways, such as metabolism, energy pathways, signal transduction, and cell communication. This study will provide useful information to explore the mechanisms underlying HCM progression and to provide potential candidate biomarkers for diagnosis in HCM.
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