Integrated gene expression profiling analysis reveals SERPINA3, FCN3, FREM1, MNS1 as candidate biomarkers in heart failure and their correlation with immune infiltration.

ABSTRACT:

Background

The purpose of this study was to identify possible diagnostic indicators for heart failure (HF) and to investigate the function of immune cell infiltration in this pathophysiology.

Methods

HF datasets from the Gene Expression Metascape database were utilized. R software was used to the identify differentially-expressed genes (DEGs) and perform functional correlation analysis. Least absolute shrinkage and selection operator (LASSO) and Boruta algorithms elimination algorithms were then employed to screen and validate the HF diagnostic variables. Finally, Single-sample Gene Set Enrichment Analysis (ssGSEA) was utilized to assess immune cell infiltration in HF tissues, and the Spearman association between gene expression and immune cell concentration was investigated

SUBMITTER: Jiang Y 

PROVIDER: S-EPMC9096324 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature