Single cell-based ultra high-resolution characterization of intrathecal immunity in Autoimmune Encephalitis

基于单细胞的自身免疫性脑炎鞘内免疫的超高分辨率表征

• 批准号: 417946943
• 负责人: Privatdozent Dr. Frank Leypoldt
• 金额: --
• 依托单位: Department of Systems Immunology
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2019
• 资助国家: 德国
• 起止时间: 2018-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/417946943?language=en
• 关键词: Single; cell; based; ultra; resolution

In this proposal we aim to study the immune mechanisms, which systemically protect us from infections and cancer, but in the context of the central nervous system (CNS) can cause inflammation and auto-immunity against neurons and synapses. The disease condition is named autoimmune encephalitis (AIE) and – although rare – is increasingly being recognized. It can cause – among others – progressive memory loss, mood disturbances and seizures. We previously found a small number of markers that are predictive for the disease, but a full-scale unbiased characterization of autoimmunity in AIE has not been performed. Using advanced single cell technologies and analytics, we here propose to characterize the cell types, markers, pathways and genes that are specific to AIE with extremely high resolution and precision. We are a unique and focused group of clinicians and researchers treating and studying a large cohort of AIE patients and managing large biomaterial banks, which include sufficient patient material for our study. We have also developed and calibrated new genomic technologies to construct very detailed models of immune cells and pathways in autoimmune diseases. Our group thus combines cutting-edge technology with access to rare clinical specimen and a long-standing expertise in diagnosing this heterogeneous disorder. This will enable us to better understand how immune cells interact with the inflamed brain. This outstanding combination of world leading scientists and clinicians with new technologies makes us especially well equipped to break new grounds in AIE research. We propose that an ultra-high resolution phenotyping of local immune responses, using single cell genomic analysis of the CSF will provide a basis for better understanding, diagnosing, predicting and treating AIE in the future.

在这项提案中，我们的目标是研究免疫机制，它系统地保护我们免受感染和癌症，但在中枢神经系统（CNS）的背景下，可能会引起炎症和针对神经元和突触的自身免疫。这种疾病被命名为自身免疫性脑炎（AIE），尽管罕见，但越来越多地被认识到。它可以导致-除其他外-进行性记忆丧失，情绪障碍和癫痫发作。我们以前发现了少量的标志物是预测疾病，但在AIE自身免疫的全面公正的表征尚未进行。使用先进的单细胞技术和分析，我们在这里建议以极高的分辨率和精度来表征AIE特异性的细胞类型，标志物，途径和基因。我们是一个独特而专注的临床医生和研究人员小组，治疗和研究大量AIE患者，并管理大型生物材料库，其中包括足够的患者材料用于我们的研究。我们还开发和校准了新的基因组技术，以构建非常详细的免疫细胞和自身免疫性疾病途径模型。因此，我们的团队将尖端技术与罕见的临床标本和诊断这种异质性疾病的长期专业知识相结合。这将使我们能够更好地了解免疫细胞如何与发炎的大脑相互作用。世界领先的科学家和临床医生与新技术的杰出结合使我们特别有能力在AIE研究中开辟新的领域。我们建议，使用CSF的单细胞基因组分析的局部免疫应答的超高分辨率表型分析将为将来更好地理解、诊断、预测和治疗AIE提供基础。