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用于帕金森病中α-突触核蛋白聚集和传播时间评估的人类三重皮质网络模型。

Human tripartite cortical network model for temporal assessment of alpha-synuclein aggregation and propagation in Parkinson's Disease.

作者信息

Kapucu Fikret Emre, Tujula Iisa, Kulta Oskari, Sukki Lassi, Ryynänen Tomi, Gram Hjalte, Vuolanto Valtteri, Vinogradov Andrey, Kreutzer Joose, Jensen Poul Henning, Kallio Pasi, Narkilahti Susanna

机构信息

Neuro Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Micro- and Nanosystems Research Group, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

出版信息

NPJ Parkinsons Dis. 2024 Jul 28;10(1):138. doi: 10.1038/s41531-024-00750-x.

Abstract

Previous studies have shown that aggregated alpha-synuclein (α-s) protein, a key pathological marker of Parkinson's disease (PD), can propagate between cells, thus participating in disease progression. This prion-like propagation has been widely studied using in vivo and in vitro models, including rodent and human cell cultures. In this study, our focus was on temporal assessment of functional changes during α-s aggregation and propagation in human induced pluripotent stem cell (hiPSC)-derived neuronal cultures and in engineered networks. Here, we report an engineered circular tripartite human neuronal network model in a microfluidic chip integrated with microelectrode arrays (MEAs) as a platform to study functional markers during α-s aggregation and propagation. We observed progressive aggregation of α-s in conventional neuronal cultures and in the exposed (proximal) compartments of circular tripartite networks following exposure to preformed α-s fibrils (PFF). Furthermore, aggregated forms propagated to distal compartments of the circular tripartite networks through axonal transport. We observed impacts of α-s aggregation on both the structure and function of neuronal cells, such as in presynaptic proteins, mitochondrial motility, calcium oscillations and neuronal activity. The model enabled an assessment of the early, middle, and late phases of α-s aggregation and its propagation during a 13-day follow-up period. While our temporal analysis suggested a complex interplay of structural and functional changes during the in vitro propagation of α-s aggregates, further investigation is required to elucidate the underlying mechanisms. Taken together, this study demonstrates the technical potential of our introduced model for conducting in-depth analyses for revealing such mechanisms.

摘要

先前的研究表明,聚集的α-突触核蛋白(α-s)是帕金森病(PD)的关键病理标志物,可在细胞间传播,从而参与疾病进展。这种朊病毒样传播已在体内和体外模型中得到广泛研究,包括啮齿动物和人类细胞培养。在本研究中,我们重点关注在人诱导多能干细胞(hiPSC)衍生的神经元培养物和工程网络中α-s聚集和传播过程中功能变化的时间评估。在此,我们报告了一种在集成有微电极阵列(MEA)的微流控芯片中的工程化圆形三方人类神经元网络模型,作为研究α-s聚集和传播过程中功能标志物的平台。我们观察到在传统神经元培养物中以及在暴露于预形成的α-s原纤维(PFF)后圆形三方网络的暴露(近端)隔室中α-s的渐进聚集。此外,聚集形式通过轴突运输传播到圆形三方网络的远端隔室。我们观察到α-s聚集对神经元细胞的结构和功能均有影响,例如对突触前蛋白、线粒体运动、钙振荡和神经元活动的影响。该模型能够在13天的随访期内评估α-s聚集及其传播的早期、中期和晚期阶段。虽然我们的时间分析表明在α-s聚集体的体外传播过程中结构和功能变化存在复杂的相互作用,但仍需要进一步研究以阐明其潜在机制。综上所述,本研究证明了我们引入的模型在进行深入分析以揭示此类机制方面的技术潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc2d/11284226/73bd7146cd17/41531_2024_750_Fig1_HTML.jpg

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