Analysis of the role of glucose metabolism-related genes in dilated cardiomyopathy based on bioinformatics.

ABSTRACT:

Background

Dilated cardiomyopathy (DCM) is a prevalent condition with diverse etiologies, including viral infection, autoimmune response, and genetic factors. Despite the crucial role of energy metabolism in cardiac function, therapeutic targets for key genes in DCM's energy metabolism remain scarce.

Methods

Our study employed the GSE79962 and GSE42955 datasets from the Gene Expression Omnibus (GEO) database for myocardial tissue sample collection and target gene identification via differential gene expression screening. Using various R packages, GSEA software, and the STRING database, we conducted data analysis, gene set enrichment, and protein-protein interaction predictions. The least absolute shrinkage and selection operator (LASSO) and Support Vector Machine (SVM) algor

SUBMITTER: Chen K 

PROVIDER: S-EPMC10407475 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature