ArticleMedical science monitor : international medical journal of experimental and clinical research2018
Identification of Potential Gene Interactions in Heart Failure Caused by Idiopathic Dilated Cardiomyopathy.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Identification of common mechanisms and biomarkers of atrial fibrillation and heart failure based on machine learning.ESC heart failure · 2024Article
- Integrated analysis of single-cell RNA sequencing and bulk RNA data reveals gene regulatory networks and targets in dilated cardiomyopathy.Scientific reports · 2024Article
- Article
- Integrated bioinformatics analysis for identifying key genes and pathways in female and male patients with dilated cardiomyopathy.Scientific reports · 2023Article
- Identification of Biomarkers Associated with Heart Failure Caused by Idiopathic Dilated Cardiomyopathy Using WGCNA and Machine Learning Algorithms.International journal of genomics · 2023Article
- Bioinformatics prediction of potential mechanisms and biomarkers underlying dilated cardiomyopathy.World journal of cardiology · 2022Article
- Exploring Key Genes to Construct a Diagnosis Model of Dilated Cardiomyopathy.Frontiers in cardiovascular medicine · 2022Article
- Troponin T amino acid mutation (ΔK210) knock-in mice as a neonatal dilated cardiomyopathy model.Pediatric research · 2021Article
- Investigation of hub genes and immune status in heart transplant rejection using endomyocardial biopsies.Journal of cellular and molecular medicine · 2021Article
- Human Hsp90 cochaperones: perspectives on tissue-specific expression and identification of cochaperones with similar in vivo functions.Cell stress & chaperones · 2021Review
- Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.Molecular medicine reports · 2020Article
- Global analysis of histone modifications and long-range chromatin interactions revealed the differential cistrome changes and novel transcriptional players in human dilated cardiomyopathy.Journal of molecular and cellular cardiology · 2020Article
- Article
- Transcriptomic Analysis Reveals Cu/Zn SODs Acting as Hub Genes of SODs inAntioxidants (Basel, Switzerland) · 2020Article
- Cellular Processes Involved in Jurkat Cells Exposed to Nanosecond Pulsed Electric Field.International journal of molecular sciences · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Many heart failure (HF) cases are caused by idiopathic dilated cardiomyopathy (iDCM). This study explored the mechanisms of the development and progression of HF caused by iDCM. MATERIAL AND METHODS The gene expression profiles of 102 samples were downloaded from the GEO database (GSE5406). Differentially expressed genes (DEGs) were identified through GO analysis and a KEGG pathway analysis, respectively. A protein-protein interaction (PPI) network was constructed and analyzed to screen potential regulatory proteins. In addition, MCODE and a cytoHubba plugin were used to identify the module and hub genes of DEGs. Finally, transcription factors (TFs) were predicted using PASTAA. We did not perform whole-exome sequencing (WES) for detecting mitochondrial DNA (mtDNA). RESULTS A total of 197 DEGs were screened, and 3 modules, and 4 upregulated and 11 downregulated hub genes were screened. The GO analysis focused on the terms and 12 KEGG pathways were enriched. The FOS, TIMP1, and SERPINE1 hub genes, as well as some key TFs, demonstrated important roles in the progression of HF caused by iDCM. CEBPD, CEBOB, CDC37L1, and SRGN may be new targets for HF in iDCM patients. CONCLUSIONS The identified DEGs and their enriched pathways provide references for exploring the mechanisms of the development and progression of HF patients with iDCM. Moreover, modules, hub genes, and TFs may be useful in the treatment and diagnosis of HF patients with iDCM. However, mtDNA was not investigated.
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