Department of Orthopedics, Huashan Hospital, Fudan University, Shanghai 200040, China.
Department of Orthopedics, Shanghai Fifth People's Hospital, Fudan University, Shanghai 200240, China.
Gene. 2025 Jan 15;933:148995. doi: 10.1016/j.gene.2024.148995. Epub 2024 Oct 10.
Programmed cell death (PCD) pathways play pivotal roles in the development and progression of peripheral nerve injury (PNI). PANoptosis, as a novel form of PCD pathway with key features of pyroptosis, apoptosis and necroptosis, is implicated in the pathogenesis of multiple neurologic diseases. This study aimed to identify PANoptosis-related biomarkers and characterize their molecular roles and immune landscape in PNI. PANoptosis-related genes (PRGs) were retrieved from Reactome pathway database and previous literatures. Differentially expressed PANoptosis-related genes (DEPRGs) were identified based on a time-series transcriptome sequencing dataset. DEPRGs were predicted to be enriched in inflammatory response, inflammatory complex, PCD and NOD-like receptor signaling pathway through GO, KEGG, Reactome and GSEA analysis. Hub genes, including Ripk3, Pycard and Il18, were then recognized through PPI network and multiple algorithms. The molecular regulatory mechanisms of hub genes were elucidated by transcription factor network and competing endogenous RNA network. Moreover, the immune cell landscape of hub genes was analyzed. Eventually, the expression levels of hub genes were verified through external dataset and animal model. Ripk3, Pycard and Il18 were remarkably upregulated in PNI samples, which were in consistent with the results of bioinformatic analysis. This study uncovered the molecular characterization of PANoptosis-related genes in PNI and illustrated the novel PANoptosis biomarkers for PNI.
程序性细胞死亡 (PCD) 途径在周围神经损伤 (PNI) 的发生和发展中起着关键作用。PANoptosis 作为一种新的 PCD 途径形式,具有细胞焦亡、细胞凋亡和坏死性凋亡的关键特征,与多种神经疾病的发病机制有关。本研究旨在鉴定 PANoptosis 相关生物标志物,并描述其在 PNI 中的分子作用和免疫景观。从 Reactome 通路数据库和以前的文献中检索到 PANoptosis 相关基因 (PRGs)。基于时间序列转录组测序数据集鉴定差异表达的 PANoptosis 相关基因 (DEPRGs)。通过 GO、KEGG、Reactome 和 GSEA 分析预测 DEPRGs 富集在炎症反应、炎症复合物、PCD 和 NOD 样受体信号通路中。通过 PPI 网络和多种算法识别出包括 Ripk3、Pycard 和 Il18 在内的枢纽基因。通过转录因子网络和竞争性内源性 RNA 网络阐明枢纽基因的分子调控机制。此外,分析了枢纽基因的免疫细胞景观。最后,通过外部数据集和动物模型验证了枢纽基因的表达水平。Ripk3、Pycard 和 Il18 在 PNI 样本中显著上调,与生物信息学分析结果一致。本研究揭示了 PNI 中 PANoptosis 相关基因的分子特征,并阐明了 PNI 的新型 PANoptosis 生物标志物。