Machine learning approach combined with causal relationship inferring unlocks the shared pathomechanism between COVID-19 and acute myocardial infarction.

ABSTRACT:

Background

Increasing evidence suggests that people with Coronavirus Disease 2019 (COVID-19) have a much higher prevalence of Acute Myocardial Infarction (AMI) than the general population. However, the underlying mechanism is not yet comprehended. Therefore, our study aims to explore the potential secret behind this complication.

Materials and methods

The gene expression profiles of COVID-19 and AMI were acquired from the Gene Expression Omnibus (GEO) database. After identifying the differentially expressed genes (DEGs) shared by COVID-19 and AMI, we conducted a series of bioinformatics analytics to enhance our understanding of this issue.

Results

Overall, 61 common DEGs were filtered out, based on which we established a powerful diagnostic predictor through 20 mainst

SUBMITTER: Liu Y 

PROVIDER: S-EPMC10090501 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature