Identification of the potential role of PANoptosis-related genes in burns via bioinformatic analyses and experimental validation.
Journal:
Burns : journal of the International Society for Burn Injuries
Published Date:
Mar 31, 2025
Abstract
BACKGROUND: The treatment of burns is highly challenging due to their complex pathophysiological mechanisms. PANoptosis, as an important form of cell death, is suggested to play a crucial role in the inflammatory response and tissue damage following burns. However, the role of PANoptosis-related biomarkers in the pathophysiological processes of burns remains unclear. In this study, we aim to identify PANoptosis-related signature genes and validate them as biomarkers in burns METHODS: Burn-related datasets were obtained from the Gene Expression Omnibus（GEO） database. GSE37069 was used for bioinformatic analysis and machine learning, while GSE19743 was used specifically for external validation. A set of PANoptosis-associated genes was obtained from the GeneCards database. Three machine learning models (LASSO, RF, and SVM-RFE) and WGCNA were utilized to screen for signature genes. The diagnostic efficacy of the identified genes was assessed through receiver operating characteristic (ROC) curves. Gene Set Enrichment Analysis (GSEA) was performed to identify pathways associated with the signature genes, while single-sample gene set enrichment analysis (ssGSEA) was employed to investigate the immune landscape. Finally, Western blotting and RT-qPCR were employed to validate the signature genes.
