ArticleHealth science reports2025
Characterization of Genetic and Chemical Drivers in the Pathogenesis of DRESS Syndrome: In Silico Study.
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Characterization of Genetic and Chemical Drivers in the Pathogenesis of DRESS Syndrome: In Silico Study.Health science reports · 2025Article
- Drug Reaction With Eosinophilia and Systemic Symptoms (DRESS) Syndrome Caused by Pola-R-CHOP: A Case Report.Cureus · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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 (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to identify biological pathways. miRNAs and TFs were predicted using bioinformatics tools like TargetScan, miRDB, and ChEA3, while chemical interactions with key genes were explored using CTDbase. Results: A total of 336 DEGs were identified, including 239 upregulated and 97 downregulated genes. The PPI network highlighted TNF, IL2, and CD40 as central genes involved in immune-related pathways. Functional enrichment analyses revealed significant pathways related to immune activation, such as leukocyte-mediated immunity. We predicted 15 miRNAs, including hsa-miR-1296-5p, and identified 10 TFs, such as MTF1 and NFKB2, which regulate the expression of key genes. Chemical interaction analysis revealed decitabine and tetradecanoylphorbol acetate as prominent agents modulating gene expression. Conclusion: miRNAs, TFs, and chemical modulators, which play a key role in the development of DRESS syndrome. Knowledge of the molecular underpinnings of DRESS, imperative for therapeutic targets.
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