Early stage diagnosis of Parkinson's disease (PD) is challenging without significant motor symptoms. The identification of effective molecular biomarkers as a hematological indication of PD may help improve the diagnostic timeliness and accuracy. In this paper, we analyzed and compared the blood samples of PD and control (CTR) patients to identify the disease-related changes and determine the putative biomarkers for PD diagnosis. Based on the RNA sequencing analysis, differentially expressed genes (DEGs) were identified, and the co-expression network of DEGs was constructed using the weighted correlation network analysis (WGCNA). The analysis leads to the identification of 87 genes that were exclusively regulated in the PD group, whereas 66 genes were significantly increased and 21 genes were significantly decreased in contrast to the control group. The results indicate that the core lncRNA-mRNA co-expression network greatly changes the immune response in PD patients. Specifically, the results showed that PWAR6, LINC00861, AC83843.1, IRF family, IFIT family and CaMK4 may play important roles in the immune system of PD. Based on the findings from this the present study, future research aims at identify novel therapeutic strategies for PD.

中文翻译：

---

基于血液学 lncRNA-mRNA 共表达的免疫相关生物标志物，用于帕金森病的早期诊断。


如果没有明显的运动症状，帕金森病 (PD) 的早期诊断具有挑战性。鉴定有效的分子生物标志物作为帕金森病的血液学指标可能有助于提高诊断的及时性和准确性。在本文中，我们分析并比较了 PD 和对照 (CTR) 患者的血液样本，以确定与疾病相关的变化并确定用于 PD 诊断的假定生物标志物。基于RNA测序分析，鉴定差异表达基因（DEG），并使用加权相关网络分析（WGCNA）构建DEG的共表达网络。分析发现，87 个基因在 PD 组中受到专门调节，而与对照组相比，66 个基因显着增加，21 个基因显着减少。结果表明，核心lncRNA-mRNA共表达网络极大地改变了PD患者的免疫反应。具体而言，结果表明PWAR6、LINC00861、AC83843.1、IRF家族、IFIT家族和CaMK4可能在PD的免疫系统中发挥重要作用。根据本研究的结果，未来的研究旨在确定帕金森病的新治疗策略。