Key result
PBMC transcriptional profiling identifies shared genes and pathways linking AMI and COVID-19 pathophysiology.
Why the study?
The underlying pathophysiology correlation between acute myocardial infarction and COVID-19 remains vague.
Bioinformatics analysis of PBMC gene expression profiles reveals potential shared pathophysiological mechanisms between COVID-19 and acute myocardial infarction.
No immediate clinical implications for AMI or COVID-19; hypothesis-generating for shared pathways requiring prospective validation.
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.
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A 2022 study studied Acute Myocardial Infarction and COVID-19. Bioinformatics analyses of transcriptional profiling was evaluated on Differentially expressed genes and common genes between AMI and COVID-19. Bioinformatics analyses of transcriptional profiling of PBMCs identified common genes and pathways underlying the pathophysiology correlation between acute myocardial infarction and COVID-19.
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