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Drug repositioning for Alzheimer's disease via genetics, electronic health records, and human iPSC models

Drug repositioning for Alzheimer's disease via genetics, electronic health records, and human iPSC models
通过遗传学、电子健康记录和人类 iPSC 模型对阿尔茨海默病进行药物重新定位
批准号:
10390283
负责人:
BINGSHAN LI
金额:
$80.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-04-15 至 2025-12-31

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中文摘要
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英文摘要
Alzheimer's disease (AD) is a progressive neurodegenerative disease and the leading cause of dementia in the United States. Unfortunately, there is no cure for AD. Drug discovery for AD has suffered significant failures, many at late stage clinical trials, partly due to our poor understanding of AD pathology and the lack of disease-relevant and human-relevant discovery and development models. This calls for team efforts with diverse and complementary expertise to tackle the challenges together, by developing innovative approaches from multiple angles to achieve the goal of identifying AD drugs. In this application, we propose three complementary Specific Aims that together aim to identify FDA approved drugs with repurpose potential for AD, from distinct but complementary angles that act synergistically to boost the likelihood of success. AD is a highly heritable disease, with an estimated heritability of 70%, highlighting the critical role of genetics in understanding the disease etiology. Recent genetic studies have identified over 30 loci, enabling us to dissect the genetic architecture of AD, including the biological processes and cell types involved in disease etiology. In particular, we aim to dissect the highly polygenic AD etiology into distinct pathophysiological components to guide drug repurposing, which is only feasible in recent years thanks to large scale GWAS and massive genomics data available publicly (Aim 1). In parallel, we will mine millions of electronic health records (EHRs) to identify drugs that reduce AD risk and cognitive decline, by developing phenotyping algorithms from EHR for AD related phenotypes (Aim 2). In addition, we will develop a high­ throughput screening (HTS) gene expression profiling assay and use human induced pluripotent stem cell (iPSC) models to identify candidate compounds, and will further test the efficacy of the candidates in both patient-derived iPSC lines and AD mouse models (Aim 3). The three aims are complementary and synergistic, in the sense that they independently tackle the same problem from drastically distinct angles, while findings from one can be served as validation for others. Altogether, leveraging distinct and complementary expertise, we expect to yield bona fide repurposable drugs for AD with orthogonal support.
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Drug repositioning for Alzheimer's disease via genetics, electronic health records, and human iPSC models
  • 批准号:
    10554325
  • 项目类别:
  • 资助金额:
    $78.99万
  • 财政年份:
    2021
  • 负责人:
    BINGSHAN LI
  • 依托单位:
Towards a better understanding of genetic architecture of Alzheimer's disease with human iPSC models
  • 批准号:
    10402828
  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2020
  • 负责人:
    BINGSHAN LI
  • 依托单位:
Towards a better understanding of genetic architecture of Alzheimer's disease with human iPSC models
  • 批准号:
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  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2020
  • 负责人:
    BINGSHAN LI
  • 依托单位:
Towards a better understanding of genetic architecture of Alzheimer's disease with human iPSC models
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    10231253
  • 项目类别:
  • 资助金额:
    $76.71万
  • 财政年份:
    2020
  • 负责人:
    BINGSHAN LI
  • 依托单位:
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