Characterization of Genetic and Chemical Drivers in the Pathogenesis of DRESS Syndrome: In Silico Study.

ABSTRACT:

Background and aims

The pathophysiology of drug rash with eosinophilia and systemic symptoms (DRESS) syndrome is complex and poorly understood. Genetic predispositions play a significant role. We aimed to explore the genetic factors and molecular mechanisms driving DRESS, focusing on gene expression, transcription factors (TFs), microRNAs (miRNAs), and chemical interactions.

Methods

We utilized RNA-seq data from the GSE160369 data set in the gene expression omnibus (GEO) database to identify differentially expressed genes (DEGs) related to DRESS. The analysis was conducted using GEO2R for identifying upregulated and downregulated genes. Protein-protein interaction (PPI) networks were constructed using STRING and further analyzed with Cytoscape and CytoHubba. Gene ontology (G

SUBMITTER: AbdElneam AI 

PROVIDER: S-EPMC12464728 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature