Super-Resolution In Vivo Optical Imaging as a Window to Parkinson's Disease Pathogenesis

超分辨率体内光学成像作为帕金森病发病机制的窗口

基本信息

  • 批准号:
    1937986
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-02-15 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

Parkinson's disease is a debilitating neurodegenerative disorder afflicting 5 million people worldwide, costing $14 billion a year in the United States alone. The causes of most cases are unknown, but genetic and environmental factors are linked to increased risk. This project will reveal the molecular events related to Parkinson's disease neuropathology and progression, thus facilitating new therapeutic interventions and more accurate prognoses. More generally, a tool will be developed for identifying the molecular basis of other central nervous system disorders related to protein folding, such as Alzheimer's disease and amyotrophic lateral sclerosis, and for evaluating new treatment methods for these diseases. Undergraduate students will be incorporated into aspects of this project with graduate students. The research will be used to enhance demonstrations for the Purdue Women in Engineering program and at the Brain Bowl during Purdue's Spring Fest, both of which target K-12. The laboratories involved on this project will be opened to students in classes that the investigators teach to illustrate concepts and demonstrate the relevance of class material to research, an exciting tool for encouraging graduate research and education.A new fluorescence-based optical molecular imaging method suitable for the living brain will be developed and applied as a means to elucidate, for the first time, pathogenic mechanisms relating to the temporal and spatial development of Parkinson's disease neuropathology. Abnormal protein aggregation of the presynaptic protein alpha-synuclein is thought to be a critical early pathogenic event, and aggregation is postulated to occur first systemically, then in the brain stem, and then in later stages in specific areas of the brain where neuronal loss or dysfunction results in the cardinal motor and non-motor symptoms. The spread of aggregates through these different brain regions is thought to be similar to the spread of the prion protein involved in mad cow disease and Creutzfeldt-Jakob syndrome. Understanding the relationship between alpha-synuclein aggregation and Parkinson's disease is of fundamental importance, in order to develop detection and treatment options. Aberrant calcium signaling is also a key Parkinson's disease indicator, and calcium ion perturbations in vulnerable neurons can be monitored with available fluorescent reporters. The proposed super-resolution optical imaging method will have the capacity to determine alpha-synuclein aggregation and site progression as well as calcium signaling in the brain of a living animal, potentially with a resolution of ten microns. The Research Plan is organized under two aims. Under the FIRST Aim, a simultaneous computational imaging and rat model study will be pursued to investigate the alpha-synuclein prion-like spreading mechanism that is thought to result in Parkinson's disease progression. Data collected weekly will be progressively used to aid the determination of precise point locations for alpha-synuclein aggregation. The fluorescent lifetime distribution of these sites is also expected to differ, based on aggregation level. Under the SECOND Aim, temporal signaling information will be obtained from microscope measurements of fluorescent calcium reporters in cell cultures and used to simulate neuron activation in the brain. This joint experimental and modeling effort will build a framework to allow investigation of whether perturbations of calcium signaling underlie neuron dysfunction or loss in Parkinson's disease, and the hypothesis that interactions between calcium and alpha-synuclein are involved in neurotoxicity.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
帕金森氏症是一种令人衰弱的神经退行性疾病,在全球范围内困扰着500万人,仅在美国每年就造成140亿美元的损失。大多数病例的原因尚不清楚,但遗传和环境因素与风险增加有关。该项目将揭示与帕金森氏病神经病理和进展相关的分子事件,从而促进新的治疗干预措施和更准确的预后。更广泛地说,将开发一种工具,用于确定与蛋白质折叠有关的其他中枢神经系统疾病的分子基础,如阿尔茨海默病和肌萎缩侧索硬化症,并评估这些疾病的新治疗方法。本科生将和研究生一起被纳入这个项目的各个方面。这项研究将用于加强普渡女性工程项目的演示,并在普渡大学春节期间的脑碗比赛中进行演示,这两项活动的目标都是K-12。参与该项目的实验室将在研究人员教授的课堂上向学生开放,以说明概念并展示课堂材料与研究的相关性,这是鼓励研究生研究和教育的令人兴奋的工具。一种适合于活脑的新的基于荧光的光学分子成像方法将被开发并首次作为一种手段来阐明与帕金森氏病神经病理学的时空发展相关的致病机制。突触前蛋白α-突触核蛋白的异常聚集被认为是一种关键的早期致病事件,聚集被认为首先在系统中发生,然后在脑干,然后在大脑特定区域的晚期,在那里神经元丢失或功能障碍导致主要运动和非运动症状。聚集体通过这些不同的大脑区域的传播被认为类似于疯牛病和克雅氏综合症中涉及的普恩蛋白的传播。了解α-突触核蛋白聚集与帕金森氏病之间的关系对于开发检测和治疗方案具有重要意义。钙信号的异常也是帕金森氏病的一个关键指标,脆弱神经元中的钙离子扰动可以通过可用的荧光记者进行监测。拟议的超分辨率光学成像方法将有能力确定活体动物大脑中的α-突触核蛋白聚集和位置进展以及钙信号,可能具有10微米的分辨率。《研究计划》有两个目标。在第一个目标下,将进行一项同时进行的计算成像和大鼠模型研究,以调查被认为导致帕金森病进展的阿尔法-突触核蛋白-普恩病毒样传播机制。每周收集的数据将逐步用于帮助确定α-突触核蛋白聚集的精确点位置。根据聚集程度的不同,这些位点的荧光寿命分布也可能不同。在第二个目标下,时间信号信息将从细胞培养中荧光钙报告器的显微镜测量中获得,并用于模拟大脑中的神经元激活。这项联合的实验和建模工作将建立一个框架,以允许调查钙信号的扰动是否导致帕金森氏病神经元功能障碍或丢失,以及钙和α-突触核蛋白之间的相互作用涉及神经毒性的假设。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Localization of Fluorescent Targets in Deep Tissue With Expanded Beam Illumination for Studies of Cancer and the Brain
  • DOI:
    10.1109/tmi.2020.2972200
  • 发表时间:
    2020-07-01
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Bentz, Brian Z.;Mahalingam, Sakkarapalayam M.;Webb, Kevin J.
  • 通讯作者:
    Webb, Kevin J.
Fluorescence Lifetime Imaging of Protein Aggregation to Understand the Etiology of Neurodegenerative Diseases
蛋白质聚集的荧光寿命成像以了解神经退行性疾病的病因学
Two C-terminal sequence variations determine differential neurotoxicity between human and mouse α-synuclein
  • DOI:
    10.1186/s13024-020-00380-w
  • 发表时间:
    2020-09-08
  • 期刊:
  • 影响因子:
    15.1
  • 作者:
    Landeck, Natalie;Strathearn, Katherine E.;Rochet, Jean-Christophe
  • 通讯作者:
    Rochet, Jean-Christophe
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Kevin Webb其他文献

Point-of-care 3D body-mapping for determining total body surface area of severely burned patients
用于确定严重烧伤患者总体表面积的护理点 3D 身体测绘
Adaptive Control Design for Multi-UAV Cooperative Lift Systems
多无人机协同升力系统的自适应控制设计
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Kevin Webb;Jonathan D. Rogers
  • 通讯作者:
    Jonathan D. Rogers
Varicella-zoster infection in adults with cystic fibrosis: role of acyclovir.
成人囊性纤维化的水痘带状疱疹感染:阿昔洛韦的作用。
The ST40 IVC1 divertor project: Procurement and installation in times of COVID-19
  • DOI:
    10.1016/j.fusengdes.2021.112378
  • 发表时间:
    2021-07-01
  • 期刊:
  • 影响因子:
  • 作者:
    Rob Bamber;Daniel Iglesias;Otto Asunta;Patrick Bunting;Steve Daughtry;Graham Dunbar;Simon Hanks;Adam Horozaniecki;Peter Moore;Damian Lockley;Kim Riddle;Marcin Stankiewicz;Tom Srawley;Neil Sykes;Rob Slade;Simon Stevens;Kevin Webb;Jon Wood; the Tokamak Energy team
  • 通讯作者:
    the Tokamak Energy team
Interactions of HCl and H<sub>2</sub>O with the surface of PuO<sub>2</sub>
  • DOI:
    10.1016/j.jnucmat.2019.02.036
  • 发表时间:
    2019-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sophie Sutherland-Harper;Francis Livens;Carolyn Pearce;Jeff Hobbs;Robin Orr;Robin Taylor;Kevin Webb;Nikolas Kaltsoyannis
  • 通讯作者:
    Nikolas Kaltsoyannis

Kevin Webb的其他文献

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{{ truncateString('Kevin Webb', 18)}}的其他基金

EAGER: Development of a Fluorescent Reporter for Protein-Membrane Interactions
EAGER:开发蛋白质-膜相互作用的荧光报告基因
  • 批准号:
    2330643
  • 财政年份:
    2023
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Super-Resolution Optical Material Characterization
超分辨率光学材料表征
  • 批准号:
    2131486
  • 财政年份:
    2022
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Developing Dynamic and Interactive Materials to Teach Computing Systems Concepts to All Students
开发动态和交互式材料来向所有学生教授计算系统概念
  • 批准号:
    2141722
  • 财政年份:
    2022
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CIF: Small: Super-Resolution Imaging in a Heavily Scattering Environment Enabled by Spatiotemporal Data
CIF:小:时空数据支持的高散射环境中的超分辨率成像
  • 批准号:
    1909660
  • 财政年份:
    2019
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Multifunctional Optomechanics with Structured Material
具有结构材料的多功能光机械
  • 批准号:
    1927822
  • 财政年份:
    2019
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Sensing and Imaging with Motion in Structured Optical Illumination
结构化光学照明中的运动传感和成像
  • 批准号:
    1610068
  • 财政年份:
    2016
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CIF - Small: High Resolution Computational Imaging with Motion in Spatially Varying Fields
CIF - 小:空间变化场中运动的高分辨率计算成像
  • 批准号:
    1618908
  • 财政年份:
    2016
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Collaborative Research: Infrastructure and Development of a Computer Science Concept Inventory for CS2
合作研究:CS2 计算机科学概念清单的基础设施和开发
  • 批准号:
    1504909
  • 财政年份:
    2015
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
EAGER: Enhanced Optical Pressure from Nanostructured Metal Films
EAGER:纳米结构金属薄膜增强光学压力
  • 批准号:
    1549541
  • 财政年份:
    2015
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
US Partnering Award: "Nanoporous microsystems: A new view of epithelial physiology, on a chip"
美国合作奖:“纳米多孔微系统:芯片上上皮生理学的新观点”
  • 批准号:
    BB/M027848/1
  • 财政年份:
    2015
  • 资助金额:
    $ 40万
  • 项目类别:
    Research Grant

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基于Resolution算法的交互时态逻辑自动验证机
  • 批准号:
    61303018
  • 批准年份:
    2013
  • 资助金额:
    22.0 万元
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In vivo Perturb-map: scalable genetic screens with single-cell and spatial resolution in intact tissues
体内扰动图:在完整组织中具有单细胞和空间分辨率的可扩展遗传筛选
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    10578616
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New Technology for In Vivo Monitoring the Brain Extracellular Proteome at High Spatial Resolution in Substance Abuse Models
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Enhanced resolution in vivo time-lapse imaging system for subcellular CLEM
用于亚细胞 CLEM 的增强分辨率体内延时成像系统
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Toward high spatiotemporal resolution models of single molecules for in vivo applications
用于体内应用的单分子高时空分辨率模型
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    2023
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In vivo high-resolution mapping of the elastic moduli and tensile stress in the human cornea
人体角膜弹性模量和拉应力的体内高分辨率绘图
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In vivo digital retinal pathology: imaging retina with molecular specific contrast and cellular resolution
体内数字视网膜病理学:利用分子特异性对比度和细胞分辨率对视网膜进行成像
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Role and regulatory mechanisms of pre- versus post-synaptic mRNA translation in remote memory recall at single neuron type resolution 'in vivo'
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