Big data and small molecules for Alzheimer's disease
阿尔茨海默病的大数据和小分子
基本信息
- 批准号:10217833
- 负责人:
- 金额:$ 41.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-08-15 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:Administrative SupplementAgeAlzheimer&aposs DiseaseAlzheimer&aposs disease patientAlzheimer&aposs disease therapeuticAnatomyAstrocytosisBig DataBiological MarkersBloodBlood - brain barrier anatomyBlood VesselsBrainBrain MappingBrain PathologyBrain imagingC-reactive proteinChromosome 17ClinicalCombined Modality TherapyDatabasesDisease ProgressionExhibitsFTD with parkinsonismFunctional disorderFundingGeneticGlial Fibrillary Acidic ProteinGoalsHarvestHealthHumanImageImpairmentIntercellular adhesion molecule 1Interleukin-6InterventionKnowledgeLinkMass Spectrum AnalysisMethodsMicrovascular DysfunctionModelingMusNerve DegenerationNeurofibrillary TanglesOnset of illnessPathogenesisPathologicPathologyPatternPharmaceutical PreparationsPharmacologyPhenotypePlasmaReportingResolutionResourcesSerum amyloid A proteinStainsTauopathiesTechniquesTechnologyTestingTransgenic MiceTreatment EfficacyUnited States Department of Veterans AffairsVascular Cell Adhesion Molecule-1VeteransWorkbasecerebrovascular healthclinical translationclinically relevantclinically translatabledata warehousedesignefficacy testingimaging biomarkerinnovationmolecular markermouse modelmutantneuroimagingneuroinflammationneuron lossnovel therapeuticsparent projectpre-clinicalsmall moleculetau Proteinstau mutationtau-1
项目摘要
Abstract
The goal of this administrative supplement application is to use our high resolution metallomic imaging
mass spectrometry (hr-MIMS) for brain mapping of microvascular impairment associated with the pathogenesis
and progression of Alzheimer's disease (AD). Specifically, we propose to perform phenotype analyses conducted
under our NIA-funded RF1 project (“Big Data and Small Molecules for Alzheimer's Disease” 1RF1AG063913-
01) by applying innovative, state-of-the-art mass spectrometry techniques to characterize brain phenotypic
endpoints. The funded RF1 parent project is designed to identify specific ACEI+STAT medications in a large
national database and test the efficacy of ACEI+STAT combination therapy to suppress pathological phenotypes
in tauopathy mouse models. In this supplement proposal, we will add phenotype analysis in the same mouse
model. We will investigate brain microvascular impairment and corresponding imaging and biomarkers linked to
tauopathy pathogenesis and progression. The rationale for broadening project scope is supported by: (i) clinical
evidence linking vascular pathologies with AD; (ii) new findings from the collaborating PIs (and others) that point
to microvasculopathy and blood-brain barrier (BBB) dysfunction as key drivers of tau protein pathology and
progression, (iii) recent acquisition of state-of-the-art mouse neuroimaging and mass spectrometry resources
that enable translation of clinically-relevant brain imaging for eventual use in humans. The new aim leverages
the same well-characterized tauopathy mouse models (P301L mice expressing mutant human tau) included in
the funded parent project. This model exhibits progressive microvasculopathy, tauopathy, and
neurodegeneration relevant to AD pathogenesis and progression. We will systematically investigate the temporal
and spatial patterning of brain pathologies with added focus on microvascular dysfunction and relationship to
corresponding neuroimaging. We plan to achieve one Aim to test our hypothesis that tauopathy,
microvasculopathy and neuronal loss can be tracked by metallomic imaging and staining of biomarkers of brain
vascular health. We aim to investigate temporal, anatomical, and mechanistic linkage among tauopathy and
microvasculopathy in a genetic AD mouse model expressing mutant human P301L tau. Sub-Aim 1A: Evaluate
brain microvasculopathy by molecular marker profiling (SAA, CRP, VCAM-1, ICAM-1) and high-resolution
metallomic imaging mass spectrometry (hr-MIMS) brain mapping in a tauopathy model as a function of age and
disease progression. Sub-Aim 1B: Correlate results from Sub-Aim 1A with quantitative immunohistochemical
analysis of harvested brains targeting key pathological endpoints (phosphorylated tauopathy, p-tau/tau;
neuroinflammation, Iba-1; astrocytosis, GFAP; neuronal loss) relevant to progression of tauopathy. We will test
whether microvascular-BBB dysfunction will anatomically colocalize and mechanistically link with progression of
tauopathy in the mouse model.
抽象的
此行政补充应用的目的是使用我们的高分辨率金属成像
质谱(HR-MIMS)用于与发病机理相关的微血管障碍的脑图
和阿尔茨海默氏病(AD)的进展。特别是,我们建议进行进行表型分析
在我们的NIA资助的RF1项目(“阿尔茨海默氏病的大数据和小分子)” 1RF1AG063913-
01)通过应用创新的,最先进的质谱技术来表征大脑表型
端点。资助的RF1父项目旨在识别大型ACEI+Stat药物
国家数据库并测试ACEI+Stat组合疗法抑制病理表型的效率
在Tauopathy鼠标模型中。在此补充建议中,我们将在同一鼠标中添加表型分析
模型。我们将研究脑微血管障碍以及相应的成像和与生物标志物相关的生物标志物
陶氏病的发病机理和进展。扩大项目范围的基本原理由:(i)临床
将血管病理与AD联系起来的证据; (ii)合作的PIS(和其他)的新发现
作为tau蛋白质病理学的关键驱动因素和微脑病和血脑屏障(BBB)功能障碍
进展,(iii)最新的最新小鼠神经影像学和质谱资源的收购
这使得临床上与临床相关的大脑成像的翻译最终可以在人类中使用。新目标的利用
包括在相同特征良好的tauopathy小鼠模型(表达突变人tau的P301L小鼠)中
资助的家长项目。该模型表现出进行性的微举行病,tauopathy和
与AD发病机理和进展有关的神经变性。我们将系统地研究临时性
和大脑病理的空间模式,并增加了对微血管功能障碍以及与
相应的神经影像学。我们计划实现一个目标,以检验我们的假设,即tauopathy,
可以通过金属成像和大脑生物标志物的染色来跟踪微举足病和神经元丧失
血管健康。我们旨在调查tauopathy和
表达突变体P301L tau的遗传AD小鼠模型中的微举足病。 Sub-aim 1A:评估
分子标记物分析(SAA,CRP,VCAM-1,ICAM-1)和高分辨率的脑微举行
金属成像质谱法(HR-MIMS)大脑映射在tauopathy模型中,随着年龄和年龄的函数
疾病进展。 Sub-aim 1b:将子-AIM 1A的结果与定量免疫组织化学相关联
分析靶向关键病理终点的收获大脑(磷酸化的tauopathy,p-tau/tau;
神经炎症,IBA-1;星形细胞增多症,GFAP;神经元丧失)与陶氏病的进展有关。我们将测试
微血管BBB功能障碍是否会在解剖上共定位并机械地与
小鼠模型中的tauopathy。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Reduction of Phosphorylated Tau in Alzheimer's Disease Induced Pluripotent Stem Cell-Derived Neuro-Spheroids by Rho-Associated Coiled-Coil Kinase Inhibitor Fasudil
- DOI:10.3233/jad-230551
- 发表时间:2023-01-01
- 期刊:
- 影响因子:4
- 作者:Giunti,Elisa;Collu,Roberto;Xia,Weiming
- 通讯作者:Xia,Weiming
Rule-Based Identification of Individuals with Mild Cognitive Impairment or Alzheimer's Disease Using Clinical Notes from the United States Veterans Affairs Healthcare System.
- DOI:10.1007/s40120-023-00540-2
- 发表时间:2023-12
- 期刊:
- 影响因子:3.7
- 作者:Aguilar, Byron J.;Miller, Donald;Jasuja, Guneet;Li, Xuyang;Shishova, Ekaterina;O'Connor, Maureen K.;Nguyen, Andrew;Morin, Peter;Berlowitz, Dan;Zhang, Raymond;Monfared, Amir Abbas Tahami;Zhang, Quanwu;Xia, Weiming
- 通讯作者:Xia, Weiming
Laser induced breakdown spectroscopy for the rapid detection of SARS-CoV-2 immune response in plasma.
- DOI:10.1038/s41598-022-05509-z
- 发表时间:2022-01-31
- 期刊:
- 影响因子:4.6
- 作者:Berlo K;Xia W;Zwillich F;Gibbons E;Gaudiuso R;Ewusi-Annan E;Chiklis GR;Melikechi N
- 通讯作者:Melikechi N
Longitudinal analysis of antibody decay in convalescent COVID-19 patients.
- DOI:10.1038/s41598-021-96171-4
- 发表时间:2021-08-18
- 期刊:
- 影响因子:4.6
- 作者:Xia W;Li M;Wang Y;Kazis LE;Berlo K;Melikechi N;Chiklis GR
- 通讯作者:Chiklis GR
Clinical Staging of Alzheimer's Disease: Concordance of Subjective and Objective Assessments in the Veteran's Affairs Healthcare System.
- DOI:10.1007/s40120-022-00379-z
- 发表时间:2022-09
- 期刊:
- 影响因子:3.7
- 作者:Morin, Peter;Li, Mingfei;Wang, Ying;Aguilar, Byron J.;Berlowitz, Dan;Tahami Monfared, Amir Abbas;Irizarry, Michael;Zhang, Quanwu;Xia, Weiming
- 通讯作者:Xia, Weiming
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LEE E. GOLDSTEIN的其他文献
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{{ truncateString('LEE E. GOLDSTEIN', 18)}}的其他基金
Impact of Toxic Metal Exposures in Novel Genetic Mouse Models of Late-Onset Alzheimer's Disease
有毒金属暴露对迟发性阿尔茨海默病的新型基因小鼠模型的影响
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10901030 - 财政年份:2023
- 资助金额:
$ 41.25万 - 项目类别:
Lasting Impacts: Dynamic, Fully Natural Bioprinted 3D Human Neurovascular Biomimetic Model to Study Traumatic Brain Injury Pathophysiology
持久影响:用于研究创伤性脑损伤病理生理学的动态、完全自然的生物打印 3D 人体神经血管仿生模型
- 批准号:
10318506 - 财政年份:2021
- 资助金额:
$ 41.25万 - 项目类别:
Lens β-Amyloid Biomarker for Early Detection of Preclinical Alzheimer's Disease in the Framingham Study
Framingham 研究中用于早期检测临床前阿尔茨海默病的晶状体 β-淀粉样蛋白生物标志物
- 批准号:
10214179 - 财政年份:2021
- 资助金额:
$ 41.25万 - 项目类别:
Lasting Impacts: Dynamic, Fully Natural Bioprinted 3D Human Neurovascular Biomimetic Model to Study Traumatic Brain Injury Pathophysiology
持久影响:用于研究创伤性脑损伤病理生理学的动态、完全自然的生物打印 3D 人体神经血管仿生模型
- 批准号:
10916751 - 财政年份:2021
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10383172 - 财政年份:2020
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- 批准号:
10593933 - 财政年份:2020
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$ 41.25万 - 项目类别:
Big data and small molecules for Alzheimer's disease
阿尔茨海默病的大数据和小分子
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10168854 - 财政年份:2019
- 资助金额:
$ 41.25万 - 项目类别:
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