Exploring an immune cells-related molecule in STEMI by bioinformatics analysis.

ABSTRACT:

Background

ST-elevated myocardial infarction (STEMI) is the leading cause of mortality worldwide. The mortality rate of heart attacks has decreased due to various preventive factors and the development of early diagnostic resuscitation measures, but the long-term prognosis remains poor. The present study aimed to identify novel serum biomarkers in STEMI patients and explored a possible new mechanism of STEMI from an immune molecular angle with bioinformatics analysis.

Methods

Gene expression profiles were obtained from Gene Expression Omnibus (GEO) database. Differential gene analysis, machine learning algorithms, gene set enrichment analysis, and immune cell infiltration analysis were conducted using R software.

Results

We identified 146 DEGs (differentially expresse

SUBMITTER: Zhang M 

PROVIDER: S-EPMC10311814 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature