利用单细胞测序绘制帕金森病患者的外周免疫图谱

Gael Moquin-Beaudry, Lovatiana Andriamboavonjy, Sebastien Audet, Laura Hamilton, Antoine Duquette, Sylvain Chouinard, Michel Panisset, Martine Tetreault
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摘要

帕金森病(PD)因其对中枢神经系统的影响而广为人知。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,凸显了帕金森病研究范式转变的必要性。我们发现,炎症功能障碍等外周变化可能预示着疾病的进展速度和严重程度。然而,驱动这些免疫变化的细胞机制在很大程度上仍不为人所知。尽管对帕金森病的研究已有 200 多年的历史,但目前仍缺乏强有力的诊断或病情进展生物标志物和改变病情的疗法。因此,了解外周免疫特征可能有助于更早地诊断和更有效地治疗帕金森病。在这里,我们试图通过单细胞 RNA 和 T 细胞受体测序来确定整个外周免疫细胞区的转录组变化,希望能发现帕金森病的特征和潜在的外周血生物标志物。在对来自 10 名健康对照组和 14 名帕金森病供体的 78 876 个细胞进行转录分析后,我们观察到了五大类免疫细胞类型:髓样细胞(单核细胞、树突状细胞)和淋巴细胞(T 细胞、B 细胞、自然杀伤细胞)。比较帕金森病患者和健康对照组的免疫细胞亚型和表型发现了帕金森病的显著特点:1)传统的 CD14+ 单核细胞明显转向活化的 CD14+/CD83+ 状态;2)淋巴细胞亚型丰度发生变化,包括 CD4+ 天真和粘膜相关不变 T 细胞亚型明显减少,CD56+ 自然杀伤细胞增加、3)通过 T 细胞受体测序鉴定出多个患者共有的几个 PD 特异性 T 细胞克隆,这表明在 PD 发病机制中存在共同的表位;4)在所有 PD 细胞类型中,包括 AP-1 应激反应转录因子复合物在内的激活标志基因的表达明显增加。这一信号在多系统萎缩或进行性核上性麻痹的非典型帕金森病患者中并不存在。总之,我们展示了对照组和帕金森病患者外周血单核细胞的综合图谱,该图谱可作为一种工具,帮助我们更好地了解免疫细胞在帕金森病发病机制中的作用。
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Mapping the peripheral immune landscape of Parkinson's disease patients with single-cell sequencing
Parkinson's Disease (PD) is widely recognized for its impact on the central nervous system. Recent breakthroughs underscore the crucial role of interactions between central and peripheral systems in PD's pathogenesis, highlighting the need for a paradigm shift in PD research. The spotlight is now shifting as we explore beyond the central nervous system, discovering that peripheral changes such as inflammatory dysfunctions may predict the rate of disease progression and severity. However, the cellular mechanisms driving these immunity changes remain largely unknown. Despite over 200 years of research on PD, robust diagnostic or progression biomarkers and disease altering therapeutics are still lacking. Thus, understanding peripheral immune signatures could lead to earlier diagnosis and more effective treatments for PD. 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 PD signatures and potential peripheral blood biomarkers. Following transcriptional profiling of 78 876 cells from 10 healthy controls and 14 PD donors, we observed five major classes of immune cell types; myeloid (monocytes, dendritic cells) and lymphoid (T, B, natural killer) cells from which we identified 38 cellular subtypes following bioinformatic re-clustering. Comparing immune cell subtypes and phenotypes between PD patients and healthy controls revealed notable features of PD: 1) a significant shift of classical CD14+ monocytes towards an activated CD14+/CD83+ state, 2) changes in lymphocyte subtypes abundance, including a significant decrease in CD4+ naive and mucosal-associated invariant T-cells subtypes, along with an increase in CD56+ natural killer cells, 3) the identification by T-cell receptor sequencing of several PD specific T-cell clones shared between multiple patients, suggesting the implication of common epitopes in PD pathogenesis, 4) a notable increase in the expression of activation signature genes, including the AP-1 stress-response transcription factor complex, across all PD cell types. This signal was not present in atypical Parkinsonism patients with multiple systems atrophy or progressive supranuclear palsy. Overall, we present a comprehensive atlas of peripheral blood mononuclear cells from control and PD patients which should serve as a tool to improve our understanding of the role the immune cell landscape plays in PD pathogenesis.
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