Subcenter for Stem Cell Clinical Translation, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, People's Republic of China.
Ganzhou Key Laboratory of Stem Cell and Regenerative Medicine, Ganzhou, 341000, Jiangxi, People's Republic of China.
Inflammation. 2024 Oct;47(5):1564-1584. doi: 10.1007/s10753-024-01994-8. Epub 2024 Mar 5.
Psoriasis is a prevalent condition characterized by chronic inflammation, immune dysregulation, and genetic alterations, significantly impacting the well-being of affected individuals. Recently, a novel aspect of programmed cell death, ferroptosis, linked to iron metabolism, has come to light. This research endeavors to unveil novel diagnostic genes associated with ferroptosis in psoriasis, employing bioinformatic methods and experimental validation. Diverse analytical strategies, including "limma," Weighted Gene Co-expression Network Analysis (WGCNA), Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine Recursive Feature Elimination (SVM-RFE), and Random Forest (RF), were employed to pinpoint pivotal ferroptosis-related diagnostic genes (FRDGs) in the training datasets GSE30999, testing dataset GSE41662 and GSE14905. The discriminative potential of FRDGs in distinguishing between normal and psoriatic patients was gauged using Receiver Operating Characteristic (ROC) curves, while the functional pathways of FRDGs were scrutinized through Gene Set Enrichment Analysis (GSEA). Spearman correlation and ssGSEA analysis were applied to explore correlations between FRDGs and immune cell infiltration or oxidative stress-related pathways. The study identified six robust FRDGs - PPARD, MAPK14, PARP9, POR, CDCA3, and PDK4 - which collectively formed a model boasting an exceptional AUC value of 0.994. GSEA analysis uncovered their active involvement in psoriasis-related pathways, and substantial correlations with immune cells and oxidative stress were noted. In vivo, experiments confirmed the consistency of the six FRDGs in the psoriasis model with microarray results. In vitro, genetic knockdown or inhibition of MAPK14 using SW203580 in keratinocytes attenuated ferroptosis and reduced the expression of inflammatory cytokines. Furthermore, the study revealed that intercellular communication between keratinocytes and macrophages was augmented by ferroptotic keratinocytes, increased M1 polarization, and recruitment of macrophage was regulated by MAPK14. In summary, our findings unveil novel ferroptosis-related targets and enhance the understanding of inflammatory responses in psoriasis. Targeting MAPK14 signaling in keratinocytes emerges as a promising therapeutic approach for managing psoriasis.
银屑病是一种常见的疾病,其特征为慢性炎症、免疫失调和遗传改变,显著影响患者的生活质量。最近,细胞程序性死亡的一个新方面——铁死亡,与铁代谢有关,引起了人们的关注。本研究采用生物信息学方法和实验验证,旨在揭示银屑病中铁死亡相关的新诊断基因。采用了多种分析策略,包括“limma”、加权基因共表达网络分析(WGCNA)、最小绝对收缩和选择算子(LASSO)、支持向量机递归特征消除(SVM-RFE)和随机森林(RF),以确定训练数据集 GSE30999、测试数据集 GSE41662 和 GSE14905 中与铁死亡相关的关键诊断基因(FRDGs)。使用接收器工作特征(ROC)曲线评估 FRDGs 区分正常和银屑病患者的能力,通过基因集富集分析(GSEA)研究 FRDGs 的功能途径。应用 Spearman 相关性和 ssGSEA 分析探讨 FRDGs 与免疫细胞浸润或氧化应激相关途径的相关性。该研究确定了六个稳健的 FRDGs-PPARD、MAPK14、PARP9、POR、CDCA3 和 PDK4-它们共同构成了一个模型,具有出色的 AUC 值为 0.994。GSEA 分析表明它们积极参与银屑病相关途径,并且与免疫细胞和氧化应激有显著相关性。在体内,实验证实了这六个 FRDGs 在银屑病模型中的一致性与微阵列结果一致。在体外,使用 SW203580 抑制 MAPK14 可抑制角质形成细胞中的铁死亡并降低炎症细胞因子的表达。此外,该研究表明,铁死亡角质形成细胞增强了角质形成细胞与巨噬细胞之间的细胞间通讯,增加了 M1 极化,并且 MAPK14 调节了巨噬细胞的募集。总之,我们的研究结果揭示了新的铁死亡相关靶点,并加深了对银屑病炎症反应的理解。靶向角质形成细胞中的 MAPK14 信号通路可能成为治疗银屑病的一种有前途的方法。