Identification of PRKCQ-AS1 as a Keratinocyte-Derived Exosomal lncRNA That Promotes Th17 Differentiation and IL-17 secretion in Psoriasis Through Bioinformatics, Machine Learning Algorithms, and Cell Experiments.

Background: Psoriasis is an immune-mediated skin disease where Th17 cell differentiation and IL-17 secretion play critical roles. This study investigates key exosomal ncRNAs regulating the Th17/IL-17 axis in psoriasis and their mechanisms. Methods: We integrated bulk RNA sequencing datasets from the GEO database to construct and evaluate exosome-related patterns. Subsequently, exosome-related ncRNAs in psoriasis lesions were identified primarily through weighted gene co-expression network analysis and five machine learning algorithms. Additionally, large-scale integrated single-cell RNA sequencing data and genome-wide association study (GWAS) data were included to investigate the mechanisms of key ncRNA, primarily through immune infiltration analysis, gene set enrichment analysis (GSEA), co-expression analysis, and Mendelian randomization. Finally, the mechanisms of key ncRNA were confirmed primarily through cell co-culture and lentiviral transfection, assessed by immunofluorescence, qRT-PCR, and Western blot. Results: We identified 10 exosome-related ncRNAs, including PRKCQ-AS1, and constructed five machine learning models with excellent diagnostic performance, emphasizing PRKCQ-AS1's significance. Mendelian randomization demonstrated a causal relationship between PRKCQ-AS1 and psoriasis. Immune infiltration analysis and GSEA indicated that PRKCQ-AS1 influences the infiltration pattern of CD4 Conclusion: PRKCQ-AS1 is an exosomal lncRNA from keratinocytes in psoriasis, promoting Th17 differentiation and IL-17 secretion through STAT3 activation. This finding deepens the understanding of psoriasis pathogenesis and provides a basis for targeted therapies.