Department of Neurology, China-Japan Union Hospital of Jilin University, No. 126, Xian Tai Road, Changchun, 130021, Jilin, China.
Inflamm Res. 2024 May;73(5):809-818. doi: 10.1007/s00011-024-01867-8. Epub 2024 Mar 27.
Previous studies have observed elevated myeloid cells in the peripheral blood of patients with Parkinson's disease (PD), but the causal relationship between them remains to be elucidated. We investigated whether there is a causal relationship between different subtypes of peripheral blood myeloid cells and PD using Mendelian randomization (MR) combined with bioinformatics analysis. Exploring the etiology of PD from the perspective of genetics can remove confounding factors and provide a more reliable theoretical basis for elucidating the pathogenesis of PD.
Comprehensive two-sample MR analysis and sensitivity analyses were conducted to explore the causal associations between 64 myeloid cell signatures and PD risk. The Venn diagram and protein-protein interaction network analysis of instrumental variables (IV) corresponding genes were used to further investigate the potential mechanism of myeloid cells influencing the pathogenesis of PD.
We investigated the impact of four immunophenotypes on the risk of PD, including Im MDSC% CD33dim HLA DR CD66b (relative count), CD33dim HLA DR CD11b% CD33 HLA DR (relative count), and CD11b on Mo MDSC (MFI) and CD11b on CD33br HLA DR CD14 (MFI), while an immunophenotype's protective effect on PD was observed CD45 on Im MDSC (MFI). The results of bioinformatics analysis showed that CD33, NTRK2, PLD2, GRIK2 and RELN had protein interactions with the risk genes of PD.
Our study has demonstrated a close genetic correlation between different subtypes of myeloid cells and PD, providing guidance for early identification and immunotherapeutic development in patients with PD.
先前的研究观察到帕金森病(PD)患者外周血中的髓样细胞升高,但它们之间的因果关系仍有待阐明。我们使用孟德尔随机化(MR)结合生物信息学分析来研究外周血髓样细胞的不同亚型与 PD 之间是否存在因果关系。从遗传学角度探讨 PD 的病因可以消除混杂因素,并为阐明 PD 的发病机制提供更可靠的理论基础。
综合进行两样本 MR 分析和敏感性分析,以探讨 64 种髓样细胞特征与 PD 风险之间的因果关系。使用工具变量(IV)对应基因的韦恩图和蛋白质-蛋白质相互作用网络分析进一步研究髓样细胞影响 PD 发病机制的潜在机制。
我们研究了四种免疫表型对 PD 风险的影响,包括 Im MDSC% CD33dim HLA DR CD66b(相对计数)、CD33dim HLA DR CD11b% CD33 HLA DR(相对计数)、Mo MDSC 上的 CD11b(MFI)和 CD33br HLA DR CD14 上的 CD11b(MFI),而一种免疫表型对 PD 具有保护作用 CD45 on Im MDSC(MFI)。生物信息学分析的结果表明,CD33、NTRK2、PLD2、GRIK2 和 RELN 与 PD 风险基因具有蛋白质相互作用。
我们的研究表明,不同类型的髓样细胞与 PD 之间存在密切的遗传相关性,为 PD 患者的早期识别和免疫治疗发展提供了指导。