Identifying therapeutic targets that confer synaptic resilience to Alzheimer's disease

确定赋予阿尔茨海默病突触弹性的治疗靶点

基本信息

项目摘要

Project Summary Approximately 30%-50% of individuals who come to autopsy without dementia have high levels of Alzheimer's disease (AD) pathology. Even in the AD population, the cellular feature most correlated with cognitive decline is not amyloid or tau, but synaptic density. However, the molecular mechanisms behind this synaptic loss are unclear. We have begun to explore their molecular basis through three dimensional (3D) modeling of dendritic spines. These results show that structural remodeling of spines not only relates to cognitive decline, but specifically relates to cognitive resilience to AD. Synaptic remodeling is highly plausible as the basis for cognitive resilience because it is the basis for short term memory and can affect multiple cognitive processes. This raises important questions: 1) what are the synaptic signaling pathways that drive structural remodeling of spines to maintain cognitive abilities in resilient individuals? 2) Can we identify therapeutic targets for drug repositioning or novel treatments to exploit these mechanisms in at risk patients? The goal of this proposal is to build a predictive model of cognitive resilience to AD by integrating quantitative proteomics, phospho- proteomics, 3D modeling of spines, and antemortem functional magnetic resonance imaging (fMRI) across two brain regions from the same individuals. From computational models, candidate therapeutic protein targets will be prioritized and rigorously validated in cellular and animal models of AD. Novel data acquired to support this goal will measure ~12,000 proteins and ~30,000 phosphorylation sites in synapse-rich fractions from human brains with varying degrees of resilience to AD pathology. In the same cases innovative high resolution imaging and 3D reconstruction of dendritic architecture will measure cellular phenotypes of resilience. Systems biology approaches will integrate our data with existing omics, including AMP-AD, and propose specific synaptic proteins that drive resilience. These predictions will be validated in terms of human brain structure and function by comparison to neuroimaging, acquired in the same set of humans. Top candidates for resilience will then be screened for resilience phenotypes in cellular and animal models of disease. Human clinical, radiologic, and pathologic data, from The Religious Orders Study and the Rush Memory and Aging Project will be studied in combination with AMP-AD data to complete the proposed goals.
项目总结

项目成果

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Christopher A. Gaiteri其他文献

Christopher A. Gaiteri的其他文献

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{{ truncateString('Christopher A. Gaiteri', 18)}}的其他基金

AIM-AI: an Actionable, Integrated and Multiscale genetic map of Alzheimer's disease via deep learning
AIM-AI:通过深度学习绘制阿尔茨海默病的可操作、集成和多尺度遗传图谱
  • 批准号:
    10668829
  • 财政年份:
    2023
  • 资助金额:
    $ 107.95万
  • 项目类别:
Identifying therapeutic targets that confer synaptic resilience to Alzheimer's disease
确定赋予阿尔茨海默病突触弹性的治疗靶点
  • 批准号:
    10412994
  • 财政年份:
    2018
  • 资助金额:
    $ 107.95万
  • 项目类别:
Identifying the origins of resilience through human single cell molecular networks, then testing them in diverse, resilient, human IPS lines
通过人类单细胞分子网络识别恢复力的起源,然后在多样化、有恢复力的人类 IPS 系中对其进行测试
  • 批准号:
    10474954
  • 财政年份:
    2018
  • 资助金额:
    $ 107.95万
  • 项目类别:
Identifying the origins of resilience through human single cell molecular networks, then testing them in diverse, resilient, human IPS lines
通过人类单细胞分子网络识别恢复力的起源,然后在多样化、有恢复力的人类 IPS 系中对其进行测试
  • 批准号:
    10655579
  • 财政年份:
    2018
  • 资助金额:
    $ 107.95万
  • 项目类别:
Identifying the origins of resilience through human single cell molecular networks, then testing them in diverse, resilient, human IPS lines
通过人类单细胞分子网络识别恢复力的起源,然后在多样化、有恢复力的人类 IPS 系中对其进行测试
  • 批准号:
    9950958
  • 财政年份:
    2018
  • 资助金额:
    $ 107.95万
  • 项目类别:
Identifying the origins of resilience through human single cell molecular networks, then testing them in diverse, resilient, human IPS lines
通过人类单细胞分子网络识别恢复力的起源,然后在多样化、有恢复力的人类 IPS 系中对其进行测试
  • 批准号:
    10730100
  • 财政年份:
    2018
  • 资助金额:
    $ 107.95万
  • 项目类别:
Identifying the molecular systems, networks, and key molecules that underlie cognitive resilience
识别认知弹性背后的分子系统、网络和关键分子
  • 批准号:
    9439572
  • 财政年份:
    2017
  • 资助金额:
    $ 107.95万
  • 项目类别:
Molecular Networks Underlying Resilience to Alzheimer's Disease Among APOE E4 Carriers
APOE E4 携带者对阿尔茨海默病的抵抗力的分子网络
  • 批准号:
    10188369
  • 财政年份:
    2017
  • 资助金额:
    $ 107.95万
  • 项目类别:
Identifying the molecular systems, networks, and key molecules that underlie cognitive resilience
识别认知弹性背后的分子系统、网络和关键分子
  • 批准号:
    10729301
  • 财政年份:
    2017
  • 资助金额:
    $ 107.95万
  • 项目类别:
Identifying the molecular systems, networks, and key molecules that underlie cognitive resilience
识别认知弹性背后的分子系统、网络和关键分子
  • 批准号:
    10229602
  • 财政年份:
    2017
  • 资助金额:
    $ 107.95万
  • 项目类别:

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Hormone therapy, age of menopause, previous parity, and APOE genotype affect cognition in aging humans.
激素治疗、绝经年龄、既往产次和 APOE 基因型会影响老年人的认知。
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骨细胞老化会对骨代谢产生不利影响吗?
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影响调节和 β 淀粉样蛋白:衰老和年龄相关病理学中的成熟因素
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影响调节和 β 淀粉样蛋白:衰老和年龄相关病理学中的成熟因素
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影响调节和 β 淀粉样蛋白:衰老和年龄相关病理学中的成熟因素
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