Discovery of Multimodal Biomarkers for Parkinsonian Syndromes, Their Progression, and Pathological Relevance
帕金森综合征多模式生物标志物的发现、进展和病理相关性
基本信息
- 批准号:10439912
- 负责人:
- 金额:$ 154.86万
- 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:2019-06-01 至 2024-05-31
- 项目状态:已结题
- 来源:
- 关键词:AutopsyBasal GangliaBasic ScienceBiochemicalBiological AssayBiological MarkersBradykinesiaBrainBrain PathologyBrain regionCerebellumCessation of lifeCharacteristicsClinicalClinical DataCollaborationsCommon Data ElementConsentControl GroupsCross-Sectional StudiesCytoplasmic InclusionDataData SetDiagnosisDifferential DiagnosisDiffusionDiseaseDisease ProgressionFoundationsFunctional disorderFutureGliosisInvestigationIowaLeadLewy BodiesLiteratureMagnetic Resonance ImagingMeasurementMeasuresModalityMolecularMotorMovementMultiple System AtrophyNational Institute of Neurological Disorders and StrokeNerve DegenerationNeurodegenerative DisordersNeurogliaNeuronsParkinson DiseaseParkinsonian DisordersPathologicPatientsPatternPlasmaPontine structurePredispositionProcessProgressive Supranuclear PalsySample SizeStagingStructureSubstantia nigra structureSyndromeTauopathiesTestingThickTimeTranslational ResearchTremorUnited States National Institutes of HealthWaterWorkalpha synucleinatypical parkinsonismbasebrain magnetic resonance imagingclinical diagnosisclinical practicecohortcost efficientdiagnostic criteriadisabilityexosomein vivoindexinginsightlongitudinal analysismolecular markermultimodalityneuron lossneuronal patterningneuropathologyprogramsprotein aggregationrate of changerecruitsynucleinopathytau Proteinstau-1
项目摘要
Project Summary/Abstract
Parkinsonian syndromes (PS) are common and progressive neurodegenerative disorders that encompass
a spectrum of movement disabilities. Despite their distinctive pathological signatures and patterns of brain
changes, PS cause overlapping motor signs including bradykinesia, rigidity, and/or tremor, probably due to
shared dysfunction of basal ganglia (BG)- and cerebellar-related structures. The current diagnosis and staging
of PS as well as other neurodegenerative diseases are based on the pattern of neuronal cell loss or death,
gliosis, and molecular markers. Among PS, the most common form is Parkinson's disease (PD), defined
pathologically by neuronal loss in the substantia nigra (SN) of the BG and presence of α-synuclein (αSyn) positive
Lewy body (LB) aggregation, although many other regions also are involved. Progressive supranuclear palsy
(PSP) and multiple system atrophy (MSA) are also common PS, and are known for neuronal loss in different
brain regions including the BG, pons, cerebellum, and related structures. PSP characteristically has tau-positive
inclusions in both glia and neurons, whereas MSA typically has glial cytoplasmic inclusions that are α-Syn
positive. Currently, no in vivo biomarkers are approved to differentiate these clinically similar syndromes, capture
the distinctive pathological pattern and molecular characteristics, and/or track the progression of each PS. The
literature and our preliminary data lead to our premise that combining state-of-the-art multimodal MRI (Aim
1) with biofluid markers of misfolded αSyn and tau (Aim 2) will yield objective and quantitative
biomarker(s) that provide complimentary information about PS, differentiate PS from each other,
quantify disease progression, and provide insights into the unique neuropathology associated with each
PS. Since 2012, the Penn State team led by Dr. Huang, supported by the NINDS PD Biomarker Program, has
recruited and studied a cohort totaling 270 PS patients (120 PD, 27 PSP, 30 MSA) and 93 Controls. Data
collected to date include longitudinal multimodal MRI (T1, T2, diffusion & susceptibility), clinical data (NIH
common data elements-CDE), and biofluids (plasma, serum, & CSF). We also have 24 postmortem brains from
this cohort. The proposed study will be especially cost-efficient by leveraging this existing cohort, data, and its
banked biofluids, and will expand the sample size of PSP and MSA patients. This will yield a total dataset of ≥60
subjects in each PS and control group for cross-sectional analyses, ≥40 in each PS and control group for
longitudinal analyses, and ≥60 postmortem brains by 2023. In collaboration with the team led by multi-PI Dr.
Kanthasamy (Iowa State), Aim 1 will determine the distinct patterns of MRI in PS and their clinical/pathological
substrates. Aim 2 will test exosomal misfolded αSyn and tau as biomarkers for PS & their progressions. Aim 3
will combine multimodal MRI & misfolded αSyn/tau to discriminate PS/delineate progression. The successful
completion of these Aims may reveal biomarkers that would be of importance in the clinical and differential
diagnosis of PS, and in assessing potential disease-modifying therapies.
项目摘要/摘要
帕金森综合症(PS)是涵盖的常见和进行性神经退行性疾病
一系列运动障碍。尽管它们具有独特的病理特征和大脑的模式
更改,PS会导致重叠的电动标志,包括Bradykinesia,刚度和/或震颤,可能是由于
巴萨神经节(BG)和小脑相关结构的共同功能障碍。当前的诊断和分期
PS以及其他神经退行性疾病的基于神经元细胞丧失或死亡的模式,
神经胶质和分子标记。在PS中,最常见的形式是定义的帕金森氏病(PD)
在病理上因BG的底膜(Sn)的神经元丧失和α-突触核蛋白(αSyn)阳性的存在
Lewy身体(LB)聚集,尽管还涉及许多其他区域。进行性上麻痹
(PSP)和多系统萎缩(MSA)也是常见的PS,并且以不同的神经元损失而闻名
包括BG,PON,小脑和相关结构在内的大脑区域。 PSP的特征具有tau阳性
神经胶质和神经元中的夹杂物,而MSA通常具有神经胶质细胞质夹杂物为α-Syn
积极的。目前,没有批准体内生物标志物来区分这些临床上相似的综合征,捕获
独特的病理模式和分子特征和/或跟踪每个PS的进展。
文献和我们的初步数据导致我们的前提是结合最先进的多模式MRI(AIM
1)使用错误折叠的αSyn和Tau的生物流体标记(AIM 2)将产生客观和定量
提供有关PS的免费信息,彼此区分PS的生物标志物,
量化疾病进展,并提供有关与每种疾病的独特神经病理学的见解
PS。自2012年以来,由Ninds PD Biomarker计划支持的Huang博士领导的宾夕法尼亚州立团队已有
招募并研究了总计270名PS患者(120 PD,27 PSP,30 MSA)和93个对照组的队列。数据
迄今为止收集的包括纵向多模式MRI(T1,T2,扩散和敏感性),临床数据(NIH
常见数据元素-CDE)和生物流体(等离子体,血清和CSF)。我们也有24个验尸大脑
这个队列。拟议的研究将通过利用现有的队列,数据及其来尤其成本效益
存放的生物流体,并将扩大PSP和MSA患者的样本量。这将产生≥60的总数据集
每个PS和对照组的受试者进行横截面分析,每个PS的40个,对照组,用于对照组
纵向分析,到2023年≥60次尸体后大脑。
Kanthasamy(爱荷华州),AIM 1将确定PS中MRI的独特模式及其临床/病理学
基材。 AIM 2将测试外泌体错误折叠的αSyn和Tau作为PS及其进行的生物标志物。目标3
将结合多模式MRI和倒数αSyn/tau,以区分PS/DELINEATE进程。成功
这些目标的完成可能会揭示生物标志物在临床和差异中很重要
PS的诊断,并评估潜在的疾病改良疗法。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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XUEMEI HUANG其他文献
XUEMEI HUANG的其他文献
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{{ truncateString('XUEMEI HUANG', 18)}}的其他基金
Discovery of Multimodal Biomarkers for Parkinsonian Syndromes, Their Progression, and Pathological Relevance
帕金森综合征多模式生物标志物的发现、进展和病理相关性
- 批准号:
10642967 - 财政年份:2019
- 资助金额:
$ 154.86万 - 项目类别:
Discovery of Multimodal Biomarkers for Parkinsonian Syndromes, Their Progression, and Pathological Relevance
帕金森综合征多模式生物标志物的发现、进展和病理相关性
- 批准号:
10241249 - 财政年份:2019
- 资助金额:
$ 154.86万 - 项目类别:
Discovery of Multimodal Biomarkers for Parkinsonian Syndromes, Their Progression, and Pathological Relevance
帕金森综合征多模式生物标志物的发现、进展和病理相关性
- 批准号:
10493489 - 财政年份:2019
- 资助金额:
$ 154.86万 - 项目类别:
Indices of Motor Synergies as Early Biomarkers of Parkinson's Disease
运动协同指数作为帕金森病的早期生物标志物
- 批准号:
9213760 - 财政年份:2016
- 资助金额:
$ 154.86万 - 项目类别:
Multimodal MRI markers of nigrostriatal pathology in Parkinson's disease
帕金森病黑质纹状体病理的多模态 MRI 标记
- 批准号:
9339896 - 财政年份:2012
- 资助金额:
$ 154.86万 - 项目类别:
Multimodal MRI markers of nigrostriatal pathology in Parkinson's disease
帕金森病黑质纹状体病理的多模态 MRI 标记
- 批准号:
8554397 - 财政年份:2012
- 资助金额:
$ 154.86万 - 项目类别:
Multimodal MRI markers of nigrostriatal pathology in Parkinson's disease
帕金森病黑质纹状体病理的多模态 MRI 标记
- 批准号:
8740170 - 财政年份:2012
- 资助金额:
$ 154.86万 - 项目类别:
Multimodal MRI markers of nigrostriatal pathology in Parkinson's disease
帕金森病黑质纹状体病理的多模态 MRI 标记
- 批准号:
8925164 - 财政年份:2012
- 资助金额:
$ 154.86万 - 项目类别:
Multimodal MRI markers of nigrostriatal pathology in Parkinson's disease
帕金森病黑质纹状体病理的多模态 MRI 标记
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8473552 - 财政年份:2012
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$ 154.86万 - 项目类别:
Manganese-related neurotoxicity in asymptomatic welders
无症状焊工与锰相关的神经毒性
- 批准号:
9239593 - 财政年份:2011
- 资助金额:
$ 154.86万 - 项目类别:
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