用单细胞测序绘制帕金森病患者的外周免疫景观。

IF 10.6 1区 医学 Q1 CLINICAL NEUROLOGY
Brain Pub Date : 2025-05-26 DOI:10.1093/brain/awaf066
Gael Moquin-Beaudry, Lovatiana Andriamboavonjy, Sebastien Audet, Laura K Hamilton, Antoine Duquette, Sylvain Chouinard, Michel Panisset, Martine Tetreault
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引用次数: 0

摘要

帕金森病以其对中枢神经系统的影响最为人所知。然而,最近的突破强调了中枢和外周系统之间的相互作用在帕金森病发病机制中的关键作用。随着我们探索中枢神经系统以外的疾病,发现炎性功能障碍等外周变化可能预测疾病进展速度和严重程度,焦点正在转移。尽管对帕金森病的研究已有200多年,但仍然缺乏可靠的诊断或进展生物标志物和有效的疾病改善治疗方法。此外,驱动免疫变化的细胞机制在很大程度上是未知的。因此,了解外周免疫特征可以导致帕金森病的早期诊断和更有效的治疗。在这里,我们试图通过单细胞RNA和t细胞受体测序来定义完整的外周免疫细胞区室的转录组改变,希望揭示帕金森病的特征和潜在的外周血生物标志物。通过对来自10名健康对照和14名帕金森病患者供体的78876个细胞的转录谱分析,我们观察到所有预期的主要免疫细胞类别;通过生物信息学重新聚类进一步分析髓细胞(单核细胞、树突状细胞)和淋巴细胞(T淋巴细胞、B淋巴细胞、自然杀伤细胞)区室,得到最终的38个细胞亚型。比较帕金森病患者和健康对照者的免疫细胞亚型和表型,揭示了帕金森病的显著特征:(i)经典CD14+单核细胞向CD14+/CD83+激活状态的显著转变;(ii)淋巴细胞亚型丰度的变化,包括CD4+初始型和粘膜相关的不变t细胞亚型的显著减少,以及CD56+自然杀伤细胞的增加;(iii)鉴定出多个患者共享的几种特异性t细胞克隆,提示共同表位在帕金森病发病机制中的意义;(iv)激活标志基因的表达显著增加,包括AP-1应激反应转录因子复合物,在所有帕金森病细胞类型中。该信号在伴有多系统萎缩或进行性核上性麻痹的非典型帕金森患者中不存在。总的来说,我们提供了一份来自健康和帕金森病患者供体的外周血单个核细胞的综合图谱,这应该作为一种工具,以提高我们对免疫细胞景观在帕金森病发病机制中所起作用的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping the peripheral immune landscape of Parkinson's disease patients with single-cell sequencing.

Parkinson's disease is most recognized for its impact on the CNS. However, recent breakthroughs underscore the crucial role of interactions between central and peripheral systems in Parkinson's disease pathogenesis. The spotlight is now shifting as we explore beyond the CNS, discovering that peripheral changes such as inflammatory dysfunctions may predict the rate of disease progression and severity. Despite more than 200 years of research on Parkinson's disease, reliable diagnostic or progression biomarkers and effective disease-modifying treatments are still lacking. Additionally, the cellular mechanisms that drive changes in immunity are largely unknown. Thus, understanding peripheral immune signatures could lead to earlier diagnosis and more effective treatments for Parkinson's disease. Here, we sought to define the transcriptomic alterations of the complete peripheral immune cell compartment by single-cell RNA and T-cell-receptor sequencing with hopes of uncovering Parkinson's disease signatures and potential peripheral blood biomarkers. Following transcriptional profiling of 78 876 cells from 10 healthy controls and 14 Parkinson's disease donors, we observed all expected major classes of immune cells; the myeloid (monocytes, dendritic cells) and lymphoid (T lymphocytes, B lymphocytes, natural killer) compartments were further analysed through bioinformatics re-clustering to obtain the final 38 cellular subtypes. Comparing immune cell subtypes and phenotypes between patients with Parkinson's disease and healthy control subjects revealed notable features of Parkinson's disease: (i) a significant shift of classical CD14+ monocytes towards an activated CD14+/CD83+ state; (ii) changes in lymphocyte subtype abundance, including a significant decrease in CD4+ naive and mucosal-associated invariant T-cell subtypes, along with an increase in CD56+ natural killer cells; (iii) the identification of several specific T-cell clones shared between multiple patients, suggesting the implication of common epitopes in Parkinson's disease pathogenesis; and (iv) a notable increase in the expression of activation signature genes, including the AP-1 stress-response transcription factor complex, across all Parkinson's disease cell types. This signal was not present in atypical parkinsonism patients with multiple system atrophy or progressive supranuclear palsy. Overall, we present a comprehensive atlas of peripheral blood mononuclear cells from healthy and Parkinson's disease donors which should serve as a tool to improve our understanding of the role the immune cell landscape plays in Parkinson's disease pathogenesis.

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来源期刊
Brain
Brain 医学-临床神经学
CiteScore
20.30
自引率
4.10%
发文量
458
审稿时长
3-6 weeks
期刊介绍: Brain, a journal focused on clinical neurology and translational neuroscience, has been publishing landmark papers since 1878. The journal aims to expand its scope by including studies that shed light on disease mechanisms and conducting innovative clinical trials for brain disorders. With a wide range of topics covered, the Editorial Board represents the international readership and diverse coverage of the journal. Accepted articles are promptly posted online, typically within a few weeks of acceptance. As of 2022, Brain holds an impressive impact factor of 14.5, according to the Journal Citation Reports.
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