tetano
Editor, Senior Moderator
Int J Gen Med
. 2022 Mar 4;15:2479-2490.
doi: 10.2147/IJGM.S354885. eCollection 2022.
The Key Genes Underlying Pathophysiology Correlation Between the Acute Myocardial Infarction and COVID-19
Hongjun You[SUP] 1 [/SUP], Qianqian Zhao[SUP] 2 [/SUP], Mengya Dong[SUP] 1 [/SUP]
Affiliations
Abstract
Introduction: Accumulating evidences disclose that COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has a marked effect on acute myocardial infarction (AMI). Nevertheless, the underlying pathophysiology correlation between the AMI and COVID-19 remains vague.
Materials and methods: Bioinformatics analyses of the altered transcriptional profiling of peripheral blood mononuclear cells (PBMCs) in patients with AMI and COVID-19 were implemented, including identification of differentially expressed genes and common genes between AMI and COVID-19, protein-protein interactions, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses, TF-genes and miRNA coregulatory networks, to explore their biological functions and potential roles in the pathogenesis of COVID-19-related AMI.
Conclusion: Our bioinformatic analyses of gene expression profiling of PBMCs in patients with AMI and COVID-19 provide us with a unique view regarding underlying pathophysiology correlation between the two vital diseases.
Keywords: AMI; DEGs; SARS-CoV-2; bioinformatics; differentially expressed genes; pathophysiology.
. 2022 Mar 4;15:2479-2490.
doi: 10.2147/IJGM.S354885. eCollection 2022.
The Key Genes Underlying Pathophysiology Correlation Between the Acute Myocardial Infarction and COVID-19
Hongjun You[SUP] 1 [/SUP], Qianqian Zhao[SUP] 2 [/SUP], Mengya Dong[SUP] 1 [/SUP]
Affiliations
- PMID: 35282650
- PMCID: PMC8904943
- DOI: 10.2147/IJGM.S354885
Abstract
Introduction: Accumulating evidences disclose that COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has a marked effect on acute myocardial infarction (AMI). Nevertheless, the underlying pathophysiology correlation between the AMI and COVID-19 remains vague.
Materials and methods: Bioinformatics analyses of the altered transcriptional profiling of peripheral blood mononuclear cells (PBMCs) in patients with AMI and COVID-19 were implemented, including identification of differentially expressed genes and common genes between AMI and COVID-19, protein-protein interactions, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses, TF-genes and miRNA coregulatory networks, to explore their biological functions and potential roles in the pathogenesis of COVID-19-related AMI.
Conclusion: Our bioinformatic analyses of gene expression profiling of PBMCs in patients with AMI and COVID-19 provide us with a unique view regarding underlying pathophysiology correlation between the two vital diseases.
Keywords: AMI; DEGs; SARS-CoV-2; bioinformatics; differentially expressed genes; pathophysiology.