ArticleCardiovascular therapeutics2020
Identification of Genetic Biomarkers for Diagnosis of Myocardial Infarction Compared with Angina Patients.
Article in Cardiovascular therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- The single-cell atlas of short-chain fatty acid receptors in human and mice hearts.Frontiers in immunology · 2025Article
- starTracer is an accelerated approach for precise marker gene identification in single-cell RNA-Seq analysis.Communications biology · 2024Article
- Exploration of neuron heterogeneity in human heart failure with dilated cardiomyopathy through single-cell RNA sequencing analysis.BMC cardiovascular disorders · 2024Article
- ELF5-Regulated lncRNA-TTN-AS1 Alleviates Myocardial Cell Injury via Recruiting PCBP2 to Increase CDK6 Stability in Myocardial Infarction.Molecular and cellular biology · 2024Article
- Xinnaotongluo liquid protects H9c2 cells from H/R-induced damage by regulating MDM2/STEAP3.PloS one · 2024Article
- Post-Transcriptional Regulation of Molecular Determinants during Cardiogenesis.International journal of molecular sciences · 2022Review
- Prioritization of microRNA biomarkers for a prospective evaluation in a cohort of myocardial infarction patients based on their mechanistic role using public datasets.Frontiers in cardiovascular medicine · 2022Article
- Transcriptome Sequencing Data Reveal LncRNA-miRNA-mRNA Regulatory Network in Calcified Aortic Valve Disease.Frontiers in cardiovascular medicine · 2022Article
- Construction of miRNA-mRNA network reveals crucial miRNAs and genes in acute myocardial infarction.Journal of biomedical research · 2021Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMyocardial infarction (MI) is the most terrible appearance of cardiovascular disease. The incidence of heart failure, one of the complications of MI, has increased in the past few decades. Therefore, the identification of MI from angina patients and the determination of new diagnoses and therapies of MI are increasingly important. The present study was aimed at identifying differentially expressed genes and miRNAs as biomarkers for the clinical and prognosis factors of MI compared with angina using microarray data analysis.
methodsDifferentially expressed miRNAs and genes were manifested by GEO2R. The biological function of differentially expressed genes (DEGs) was examined by GO and KEGG. The construction of a protein-protein network was explored by STRING. cytoHubba was utilized to screen hub genes. Analysis of miRNA-gene pairs was executed by the miRWalk 3.0 database. The miRNA-target pairs overlapped with hub genes were seen as key genes. Logistic regressive analysis was performed by SPSS.
resultsA number of 779 DEGs were recorded. The biological function containing extracellular components, signaling pathways, and cell adhesion was enriched. Twenty-four hub genes and three differentially expressed miRNAs were noted. Eight key genes were demonstrated, and 6 out of these 8 key genes were significantly related to clinical and prognosis factors following MI.
conclusionsCALCA, CDK6, MDM2, NRXN1, SOCS3, VEGFA, SMAD4, NCAM1, and hsa-miR-127-5p were thought to be potential diagnosis biomarkers for MI. Meanwhile, CALCA, CDK6, NRXN1, SMAD4, SOCS3, and NCAM1 were further identified to be potential diagnosis and therapy targets for MI.
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