Yin Tingting, Zhang Tingting, Ma Lei
College of Life Science, Shihezi University, Shihezi City, Xinjiang, China.
Sci Rep. 2025 May 22;15(1):17765. doi: 10.1038/s41598-025-02822-1.
Psoriasis is a prevalent inflammatory skin disorder with immune-related mechanisms that remain incompletely understood. To elucidate the immune landscape of psoriasis, we analyzed expression profiles to identify 115 psoriasis susceptibility genes (PSGs) and subsequently pinpointing eight immune-related hub genes (IRHGs). A predictive model incorporating these IRHGs demonstrated promising prognostic potential for psoriasis. Additionally, extensive intercellular communication was observed among keratinocytes, dendritic cells, monocytes, and T cells. The cellular differentiation trajectory revealed a complex interplay among various cell types and states, highlighting genes such as CXCL8, CCL2, STAT3, and STAT1 emerging as closely associated with the cellular composition and functional status within the psoriatic immune microenvironment. The present study may shed light on the understanding of the immunopathological dynamics of psoriasis and the development of novel therapeutic strategies and biomarkers for this multifaceted skin disorder.
银屑病是一种常见的炎症性皮肤病,其免疫相关机制仍未完全明确。为了阐明银屑病的免疫格局,我们分析了表达谱以鉴定115个银屑病易感基因(PSG),随后确定了8个免疫相关枢纽基因(IRHG)。纳入这些IRHG的预测模型显示出对银屑病有前景的预后潜力。此外,在角质形成细胞、树突状细胞、单核细胞和T细胞之间观察到广泛的细胞间通讯。细胞分化轨迹揭示了各种细胞类型和状态之间复杂的相互作用,突出了CXCL8、CCL2、STAT3和STAT1等基因与银屑病免疫微环境中的细胞组成和功能状态密切相关。本研究可能有助于深入了解银屑病的免疫病理动态,以及为这种多方面的皮肤病开发新的治疗策略和生物标志物。