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pmid:34584445

Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy.

Jing Cao · Zhaoya Liu · Jie Liu · Chan Li · Guogang Zhang · Ruizheng Shi

International journal of general medicine · 2021 doi:10.2147/IJGM.S329980

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Experiment

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Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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2026-11-01T15:41:54Z
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title
Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy.
doi
10.2147/IJGM.S329980
pmid
34584445
authors array · 6 items
[0]
Jing Cao
[1]
Zhaoya Liu
[2]
Jie Liu
[3]
Chan Li
[4]
Guogang Zhang
[5]
Ruizheng Shi
journal
International journal of general medicine
year
2021
abstract
PURPOSE: Ischemic cardiomyopathy (ICM) is considered to be the most common cause of heart failure, with high prevalence and mortality. This study aimed to investigate the different expressed genes (DEGs) and pathways in the pathogenesis of ICM using bioinformatics analysis. METHODS: The control and ICM datasets GSE116250, GSE46224 and GSE5406 were collected from the gene expression omnibus (GEO) database. DEGs were identified using limma package of R software, and co-expressed genes were identified using Venn diagrams. Then, the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to explore the biological functions and signaling pathways. Protein-protein interaction (PPI) networks were assembled with Cytoscape software to identify hub genes related to the pathogenesis of ICM. RT-PCR of Heart tissues (n=2 for non-failing controls and n=4 for ischemic cardiomyopathy patients) was used to validate the bioinformatic results. RESULTS: A total of 844 DEGs were screened from GSE116250, of which 447 were up-regulated genes and 397 were down-regulated genes, respectively. A total of 99 DEGs were singled out from GSE46224, of which 58 were up-regulated genes and 41 were down-regulated genes, respectively. Thirty DEGs were screened from GSE5406, including 10 genes with up-regulated expression and 20 genes with down-regulated expression. Five up-regulated and 3 down-regulated co-expressed DEGs were intersected in three datasets. GO and KEGG pathway analyses revealed that DEGs are mainly enriched in collagen fibril organization, protein digestion and absorption, AGE-RAGE signaling pathway and other related pathways. Collagen alpha-1(III) chain (COL3A1), collagen alpha-2(I) chain (COL1A2) and lumican (LUM) are the three hub genes in all three datasets through PPI network analysis. The expression of 5 DEGs (SERPINA3, FCN3, COL3A1, HBB, MXRA5) in heart tissues by qRT-PCR results was consistent with our GEO analysis, while expression of 3 DEGs (ASPN, LUM, COL1A2) was opposite with GEO analysis. CONCLUSION: These findings from this bioinformatics network analysis investigated key hub genes, which contributed to better understanding the mechanism and new therapeutic targets of ICM.
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The Top 10 Differential Expressed Genes (DEGs) in the Left Ventricular Myocardial Tissue of Patients with Ischemic Cardiomyopathy in GSE116250, GSE46224, GSE5406
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Identification of DEGs in ICM Samples Compared with Not-Failing Samples
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The Top 10 Differential Expressed Genes (DEGs) in the Left Ventricular Myocardial Tissue of Patients with Ischemic Cardiomyopathy in GSE116250, GSE46224, GSE5406
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Identification of DEGs in ICM Samples Compared with Not-Failing Samples
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34584445", "kind": "science-record", "revision": 7, "content_hash": "sha256:4ddcc1d80ee3d5710db4df752f540e5ca3470944584d4241232e87ce4ee8562f", "created_at": "2026-11-01T15:41:54Z", "updated_at": "2026-11-01T22:04:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy.", "doi": "10.2147/IJGM.S329980", "pmid": "34584445", "authors": ["Jing Cao", "Zhaoya Liu", "Jie Liu", "Chan Li", "Guogang Zhang", "Ruizheng Shi"], "journal": "International journal of general medicine", "year": 2021, "abstract": "PURPOSE: Ischemic cardiomyopathy (ICM) is considered to be the most common cause of heart failure, with high prevalence and mortality. This study aimed to investigate the different expressed genes (DEGs) and pathways in the pathogenesis of ICM using bioinformatics analysis.\nMETHODS: The control and ICM datasets GSE116250, GSE46224 and GSE5406 were collected from the gene expression omnibus (GEO) database. DEGs were identified using limma package of R software, and co-expressed genes were identified using Venn diagrams. Then, the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to explore the biological functions and signaling pathways. Protein-protein interaction (PPI) networks were assembled with Cytoscape software to identify hub genes related to the pathogenesis of ICM. RT-PCR of Heart tissues (n=2 for non-failing controls and n=4 for ischemic cardiomyopathy patients) was used to validate the bioinformatic results.\nRESULTS: A total of 844 DEGs were screened from GSE116250, of which 447 were up-regulated genes and 397 were down-regulated genes, respectively. A total of 99 DEGs were singled out from GSE46224, of which 58 were up-regulated genes and 41 were down-regulated genes, respectively. Thirty DEGs were screened from GSE5406, including 10 genes with up-regulated expression and 20 genes with down-regulated expression. Five up-regulated and 3 down-regulated co-expressed DEGs were intersected in three datasets. GO and KEGG pathway analyses revealed that DEGs are mainly enriched in collagen fibril organization, protein digestion and absorption, AGE-RAGE signaling pathway and other related pathways. Collagen alpha-1(III) chain (COL3A1), collagen alpha-2(I) chain (COL1A2) and lumican (LUM) are the three hub genes in all three datasets through PPI network analysis. The expression of 5 DEGs (SERPINA3, FCN3, COL3A1, HBB, MXRA5) in heart tissues by qRT-PCR results was consistent with our GEO analysis, while expression of 3 DEGs (ASPN, LUM, COL1A2) was opposite with GEO analysis.\nCONCLUSION: These findings from this bioinformatics network analysis investigated key hub genes, which contributed to better understanding the mechanism and new therapeutic targets of ICM.", "claims": [{"id": "claim-method", "statement": "T-tests or nonparametric tests were used to analyze the scores of two different groups.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34584445", "locator": "sections[9] \"Statistical Analysis\" paragraph 2", "quote": "T-tests or nonparametric tests were used to analyze the scores of two different groups."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:34584445"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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["RN7SKP232", "10.83579", "0.00000", "MYH6", "−2.9162", "0.00100", "MXRA5", "1.63951", "0.00000"], ["TRBV5-4", "10.08304", "0.00000", "TUBA3E", "−2.8583", "0.00078", "HBB", "1.50740", "0.00004"], ["RP11-777B9.5", "−9.87759", "0.00029", "COMP", "2.65490", "0.01899", "FKBP5", "−1.49216", "0.00000"], ["CUX1", "9.40378", "0.04378", "FMOD", "2.63632", "0.00896", "NRAP", "−1.49200", "0.00462"], ["ACTA1", "7.81456", "0.00576", "LUM", "2.41298", "0.00710", "HOPX", "−1.48882", "0.00000"], ["RP5-857K21.11", "−7.33930", "0.03388", "SFRP4", "2.40590", "0.01113", "RPS4Y1", "1.42053", "0.00121"]], "row_count": 12, "column_count": 9, "numeric_cells": 67, "header_rows": 2, "locator": "section[11]/table-wrap[1]#t0001"}}, {"id": "asset:table:pmid:34584445:2", "role": "table", "format": "jats-table", "media_type": "application/vnd.jats.table+json", "uri": null, "sha256": "sha256:2b81e84de8f0801de0f1101b2cc61f55470ef0f6796dd616e55a73357d0c8796", "bytes": 1038, "access": "open", "state": "verified", 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