Zhang Junshi, Liu Tingting, Wu Haojie, Wei Jianshe, Qu Qiumin
Department of Neurology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Department of Neurology, Huaihe Hospital of Henan Universtiy, Kaifeng, 475004, China.
Mol Brain. 2025 Apr 4;18(1):29. doi: 10.1186/s13041-025-01200-2.
Parkinson's disease (PD), a globally prevalent neurodegenerative disorder, has been implicated with oxidative stress (OS) as a central pathomechanism. Excessive reactive oxygen species (ROS) trigger neuronal damage and may induce disulfidptosis-a novel cell death modality not yet characterized in PD pathogenesis.
Integrated bioinformatics analyses were conducted using GEO datasets to identify PD-associated differentially expressed genes (DEGs). These datasets were subjected to: immune infiltration analysis, gene set enrichment analysis (GSEA), weighted gene co-expression network analysis (WGCNA), intersection analysis of oxidative stress-related genes (ORGs) and disulfidptosis-related genes (DRGs) for functional enrichment annotation. Following hub gene identification, diagnostic performance was validated using independent cohorts. LASSO regression was applied for feature selection, with subsequent experimental validation in MPTP-induced PD mouse models. Single-cell transcriptomic profiling and molecular docking studies were performed to map target gene expression and assess drug-target interactions.
A total of 1615 PD DEGs and 200 WGCNA DEGs were obtained, and the intersection with ORGs and DRGs resulted in 202 DEORGs, 11 DEDRGs, and 5 DED-ORGs (NDUFS2, LRPPRC, NDUFS1, GLUD1, and MYH6). These genes are mainly associated with oxidative stress, the respiratory electron transport chain, the ATP metabolic process, oxidative phosphorylation, mitochondrial respiration, and the TCA cycle. 10 hub genes have good diagnostic value, including in the validation dataset (AUC ≥ 0.507). LASSO analysis of hub genes yielded a total of 6 target genes, ACO2, CYCS, HSPA9, SNCA, SDHA, and VDAC1. In the MPTP-induced PD mice model, the expression of ACO2, HSPA9, and SDHA was decreased while the expression of CYCS, SNCA, and VDAC1 was increased, and the expression of the 5 DED-ORGs was decreased. Additionally, it was discovered that N-Acetylcysteine (NAC) could inhibit the occurrence of disulfidptosis in the MPTP-induced PD model. Subsequently, the distribution of target genes with AUC > 0.7 in different cell types of the brain was analyzed. Finally, molecular docking was performed between the anti-PD drugs entering clinical phase IV and the target genes. LRPPRC has low binding energy and strong affinity with duloxetine and donepezil, with binding energies of -7.6 kcal/mol and - 8.7 kcal/mol, respectively.
This study elucidates the pathogenic role of OS-induced disulfidptosis in PD progression. By identifying novel diagnostic biomarkers (e.g., DED-ORGs) and therapeutic targets (e.g., LRPPRC), our findings provide a mechanistic framework for PD management and lay the groundwork for future therapeutic development.
帕金森病(PD)是一种全球流行的神经退行性疾病,氧化应激(OS)被认为是其核心发病机制。过量的活性氧(ROS)引发神经元损伤,并可能诱导二硫化物诱导的细胞死亡——一种在PD发病机制中尚未被描述的新型细胞死亡方式。
使用GEO数据集进行综合生物信息学分析,以鉴定与PD相关的差异表达基因(DEGs)。这些数据集进行了免疫浸润分析、基因集富集分析(GSEA)、加权基因共表达网络分析(WGCNA)、氧化应激相关基因(ORGs)和二硫化物诱导的细胞死亡相关基因(DRGs)的交集分析,以进行功能富集注释。在确定枢纽基因后,使用独立队列验证诊断性能。应用LASSO回归进行特征选择,并随后在MPTP诱导的PD小鼠模型中进行实验验证。进行单细胞转录组分析和分子对接研究,以绘制靶基因表达图谱并评估药物-靶标相互作用。
共获得1615个PD DEGs和200个WGCNA DEGs,与ORGs和DRGs的交集产生了202个DEORGs、11个DEDRGs和5个DED-ORGs(NDUFS2、LRPPRC、NDUFS1、GLUD1和MYH6)。这些基因主要与氧化应激、呼吸电子传递链、ATP代谢过程、氧化磷酸化、线粒体呼吸和三羧酸循环相关。10个枢纽基因具有良好的诊断价值,包括在验证数据集中(AUC≥0.507)。对枢纽基因的LASSO分析共产生了6个靶基因,即ACO2、CYCS、HSPA9、SNCA、SDHA和VDAC1。在MPTP诱导的PD小鼠模型中,ACO2、HSPA9和SDHA的表达降低,而CYCS、SNCA和VDAC1的表达增加,5个DED-ORGs的表达降低。此外,发现N-乙酰半胱氨酸(NAC)可以抑制MPTP诱导的PD模型中二硫化物诱导的细胞死亡的发生。随后,分析了AUC>0.7的靶基因在大脑不同细胞类型中的分布。最后,对进入IV期临床的抗PD药物与靶基因进行了分子对接。LRPPRC与度洛西汀和多奈哌齐的结合能较低且亲和力较强,结合能分别为-7.6 kcal/mol和-8.7 kcal/mol。
本研究阐明了OS诱导的二硫化物诱导的细胞死亡在PD进展中的致病作用。通过鉴定新的诊断生物标志物(如DED-ORGs)和治疗靶点(如LRPPRC),我们的发现为PD的管理提供了一个机制框架,并为未来的治疗发展奠定了基础。