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pmid:36286305

Bioinformatics Analysis of Common Differential Genes of Viral Myocarditis and Dilated Cardiomyopathy: Screening for Potential Pharmacological Compounds.

Junyi Zhang · Mingzhu Xu · Tan Chen · Yafeng Zhou

Journal of cardiovascular development and disease · 2022 doi:10.3390/jcdd9100353

Paper

complete

Experiment

complete

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:36286305
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science-record
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title
Bioinformatics Analysis of Common Differential Genes of Viral Myocarditis and Dilated Cardiomyopathy: Screening for Potential Pharmacological Compounds.
doi
10.3390/jcdd9100353
pmid
36286305
authors array · 4 items
[0]
Junyi Zhang
[1]
Mingzhu Xu
[2]
Tan Chen
[3]
Yafeng Zhou
journal
Journal of cardiovascular development and disease
year
2022
abstract
(1) Background: The mechanism of viral myocarditis (VMC) progression to dilated cardiomyopathy (DCM) remains unclear. The aim of this study was to identify key genes in the progression of VMC to DCM, so as to find potential therapeutic drugs and provide insights for future research. (2) Methods: Differential expression analysis of GSE4172 and GSE17800 from the Gene Expression Omnibus (GEO) database was performed using GEO2R, which contained genome-wide analysis of myocardial biopsies from VMC and DCM, respectively. We used the Venn diagram analysis to screen the common differentially expressed genes (DEGs). GO functional enrichment analysis and KEGG pathway analysis were also performed. Then we conducted protein-protein interaction (PPI) networks using STRING and identified hub genes using Cytoscape. Finally, we used cMAP to screen out candidate compounds targeting these hub genes; (3) Results: In total, 2143 DEGs for VMC and 1365 DEGs for DCM were found. Then a total of 191 common DEGs were identified. Biological processes and pathway involved in these genes mainly include GABA-gated chloride ion channel activity and Rap1 signaling pathway. A total of 14 hub genes were identified. PPI network showed these hubs mainly enriched in regulation of WNT signaling pathway and GABA-gated chloride ion channel activity. Subgroup analysis of Severe VMC cohort revealed 10 hub genes which mainly clustered in GABA channel activity, extracellular matrix remodeling and sarcomere dysfunction. Using cMAP, we obtained top 10 potential medications, but only amlodipine is currently viable; (4) Conclusions: Our study finds the hub genes and reveals the important role of GABA-gated chloride ion channel, Rap1 signaling pathway, WNT signaling pathway, extracellular matrix remodeling and sarcomere dysfunction in the progression from VMC to DCM. Amlodipine is a potential viable drug in preventing the progression of VMC to DCM.
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DEGs were analyzed using the GEO2R tool. We defined p < 0.05 and |log2 fold change (FC)| > 0.58 (namely fold change >1.5 times) as statistically significant DEGs.
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sections[4] "2.2. Processing of Raw Data and Screening of Differentially Expressed Genes (DEGs)" paragraph 2
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DEGs were analyzed using the GEO2R tool. We defined p < 0.05 and |log2 fold change (FC)| > 0.58 (namely fold change >1.5 times) as statistically significant DEGs.
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GSE4172: accessed on 5 June 2022, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE4172. GSE17800: accessed on 5 June 2022, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi.
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Differential expression analysis of GSE4172 and GSE17800 using GEO2R identified 191 common differentially expressed genes between viral myocarditis and dilated cardiomyopathy.
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sections[14] "3.1.3. Screening of Common Differentially Expressed Genes" paragraph 2
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Using Venn analysis, a total of 191 common DEGs were screened from GSE4172 and GSE17800 (Figure 3A).
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Differential expression analysis of GSE4172 and GSE17800 using GEO2R identified 191 common differentially expressed genes between viral myocarditis and dilated cardiomyopathy.
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Myocardial gene expression profiles and cardiodepressant autoantibodies predict response of patients with dilated cardiomyopathy to immunoadsorption therapy
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Complete file
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The aim of this study was to identify key genes in the progression of VMC to DCM, so as to find potential therapeutic drugs and provide insights for future research. (2) Methods: Differential expression analysis of GSE4172 and GSE17800 from the Gene Expression Omnibus (GEO) database was performed using GEO2R, which contained genome-wide analysis of myocardial biopsies from VMC and DCM, respectively. We used the Venn diagram analysis to screen the common differentially expressed genes (DEGs). GO functional enrichment analysis and KEGG pathway analysis were also performed. Then we conducted protein-protein interaction (PPI) networks using STRING and identified hub genes using Cytoscape. Finally, we used cMAP to screen out candidate compounds targeting these hub genes; (3) Results: In total, 2143 DEGs for VMC and 1365 DEGs for DCM were found. Then a total of 191 common DEGs were identified. Biological processes and pathway involved in these genes mainly include GABA-gated chloride ion channel activity and Rap1 signaling pathway. A total of 14 hub genes were identified. PPI network showed these hubs mainly enriched in regulation of WNT signaling pathway and GABA-gated chloride ion channel activity. Subgroup analysis of Severe VMC cohort revealed 10 hub genes which mainly clustered in GABA channel activity, extracellular matrix remodeling and sarcomere dysfunction. Using cMAP, we obtained top 10 potential medications, but only amlodipine is currently viable; (4) Conclusions: Our study finds the hub genes and reveals the important role of GABA-gated chloride ion channel, Rap1 signaling pathway, WNT signaling pathway, extracellular matrix remodeling and sarcomere dysfunction in the progression from VMC to DCM. Amlodipine is a potential viable drug in preventing the progression of VMC to DCM.", "claims": [{"id": "claim-method", "statement": "DEGs were analyzed using the GEO2R tool. We defined p < 0.05 and |log2 fold change (FC)| > 0.58 (namely fold change >1.5 times) as statistically significant DEGs.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36286305", "locator": "sections[4] \"2.2. Processing of Raw Data and Screening of Differentially Expressed Genes (DEGs)\" paragraph 2", "quote": "DEGs were analyzed using the GEO2R tool. We defined p < 0.05 and |log2 fold change (FC)| > 0.58 (namely fold change >1.5 times) as statistically significant DEGs."}], "state": "complete"}, {"id": "claim-data-access", "statement": "GSE4172: accessed on 5 June 2022, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE4172. 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