859 Screening of key genes related to autophagy in psoriasis based on gene expression profiling

Objective: Autophagy is necessary for the progression of psoriasis. This study aimed to recognize possible autophagy-related genes in psoriasis via bioinformatics present a better standard clinical treatment and management Methods: The GEO dataset was utilized derive mRNA expression profile database GSE78097. R software find autophagy-associated that may be expressed Then, Protein-protein interaction (PPI) correlation differentially carried out, GO KEGG enrichment analysis used investigate any potential signaling pathways linked. Results: We identified total 156 27 6 healthy skin tissue samples. PPI network diagram findings demonstrate interactions among these genes. Autophagy, protein processing, apoptosis, mitochondria processes crucial development occurrence suggested by analysis. Conclusion: Utilizing methods has further enhanced our understanding provided new thinking pathogenesis therapeutic targets