Rehabilitation Center, Qilu Hospital of Shandong University, Jinan, China.
Front Immunol. 2024 May 23;15:1377409. doi: 10.3389/fimmu.2024.1377409. eCollection 2024.
Neutrophil extracellular traps (NETs) constitute a crucial element of the immune system, and dysfunction in immune responses is implicated in the susceptibility and progression of Parkinson's disease (PD). Nevertheless, the mechanism connecting PD and NETs remains unclear. This study aims to uncover potential NETs-related immune biomarkers and elucidate their role in PD pathogenesis.
Through differential gene analysis of PD and NETs in GSE7621 datasets, we identified two PD subtypes and explored potential biological pathways. Subsequently, using ClusterWGCNA, we pinpointed pertinent genes and developed clinical diagnostic models. We then optimized the chosen model and evaluated its association with immune infiltration. Validation was conducted using the GSE20163 dataset. Screening the single-cell dataset GSE132758 revealed cell populations associated with the identified gene.
Our findings identified XGB as the optimal diagnostic model, with CAP2 identified as a pivotal gene. The risk model effectively predicted overall diagnosis rates, demonstrating a robust correlation between infiltrating immune cells and genes related to the XGB model.
In conclusions, we identified PD subtypes and diagnostic genes associated with NETs, highlighting CAP2 as a pivotal gene. These findings have significant implications for understanding potential molecular mechanisms and treatments for PD.
中性粒细胞胞外诱捕网（NETs）是免疫系统的一个重要组成部分，免疫反应功能障碍与帕金森病（PD）的易感性和进展有关。然而，将 PD 与 NETs 联系起来的机制尚不清楚。本研究旨在发现潜在的与 NETs 相关的免疫生物标志物，并阐明其在 PD 发病机制中的作用。
通过对 GSE7621 数据集进行 PD 和 NETs 的差异基因分析，我们确定了两种 PD 亚型，并探讨了潜在的生物学途径。随后，我们使用 ClusterWGCNA 鉴定了相关基因，并开发了临床诊断模型。接着，我们优化了选择的模型，并评估了其与免疫浸润的关联。使用 GSE20163 数据集进行验证。筛选单细胞数据集 GSE132758 揭示了与鉴定基因相关的细胞群体。
我们的研究结果确定了 XGB 作为最佳诊断模型，其中 CAP2 被鉴定为关键基因。该风险模型有效地预测了总体诊断率，表明浸润免疫细胞与 XGB 模型相关基因之间存在强相关性。
总之，我们确定了与 NETs 相关的 PD 亚型和诊断基因，强调 CAP2 是一个关键基因。这些发现对理解 PD 的潜在分子机制和治疗方法具有重要意义。
