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
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
关键词:
AffectAgeAlgorithmsAlzheimer&aposs DiseaseAlzheimer&aposs disease modelAlzheimer&aposs disease pathologyAlzheimer&aposs disease patientAlzheimer&aposs disease riskAstrocytesBiological AssayBiological ProcessCell DeathCell LineClinicalClinical TrialsCodeCombined Modality TherapyDataDementiaDiagnosticDiseaseDrug TargetingDrug usageEarly Onset Alzheimer DiseaseElectronic Health RecordEtiologyFDA approvedFailureGenderGene Expression ProfileGene Expression ProfilingGenesGeneticGenetic studyGoalsHeritabilityHumanImpaired cognitionIndividualLate Onset Alzheimer DiseaseMicrogliaMitochondriaMorphologyMultiomic DataMutationNatural Language ProcessingNeurodegenerative DisordersNeuronsOxidative StressPathogenesisPathologicPathway interactionsPatientsPharmaceutical PreparationsPhenotypeProductionRaceRecording of previous eventsRoleStructureSynapsesTextUnited StatesValidationcase controlcell typecohortcomorbiditycomputer frameworkcytokinedrug candidatedrug developmentdrug discoverydrug repurposingdrug use screeningefficacy testinggene networkgenetic architecturegenome wide association studygenomic datahigh throughput screeninginduced pluripotent stem cellinnovationmodel developmentmouse modelnovelphenotyping algorithmpresenilin-1preventscreeningsexsingle cell sequencingstem cell modelsuccesstau phosphorylationtransmission processvirtual
中文摘要
点击翻译按钮获取中文摘要
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
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批准号:10402828
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项目类别:
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资助金额:$75.86万
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财政年份:2020
-
负责人:BINGSHAN LI
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依托单位:
Towards a better understanding of genetic architecture of Alzheimer's disease with human iPSC models
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批准号:10621928
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项目类别:
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资助金额:$75.16万
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财政年份:2020
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负责人:BINGSHAN LI
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依托单位:
Towards a better understanding of genetic architecture of Alzheimer's disease with human iPSC models
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批准号:10231253
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项目类别:
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资助金额:$76.71万
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财政年份:2020
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负责人:BINGSHAN LI
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依托单位:
Design and analysis of sequencing studies for gene mapping in families
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批准号:8668121
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资助金额:$36.45万
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财政年份:2013
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负责人:BINGSHAN LI
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依托单位:
Design and analysis of sequencing studies for gene mapping in families
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批准号:8504179
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项目类别:
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资助金额:$38.0万
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财政年份:2013
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负责人:BINGSHAN LI
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