Biological Aging Contributions to Molecular Pathology and Neurodegeneration
生物衰老对分子病理学和神经退行性变的贡献
基本信息
- 批准号:10649484
- 负责人:
- 金额:$ 73.88万
- 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:2019-09-15 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAddressAdultAgeAge YearsAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease pathologyAlzheimer&aposs disease riskAmyloid beta-ProteinApoptosisAutopsyBiologicalBiological AgingBiological MarkersBirthBloodBrainCell AgingCell Cycle ArrestCell divisionChromosomesChronologyCognitive agingCollaborationsDNA MethylationDNA SequenceDataDevelopmentDiagnosisEarly InterventionElderlyEpigenetic ProcessFundingGene ExpressionGene FrequencyGenesGeneticGoalsHeterogeneityIndividualLaboratoriesLengthLeukocytesLongevityMagnetic Resonance ImagingMeasurementMeasuresMethylationNatureNerve DegenerationPathologicPathologyPositron-Emission TomographyProteinsResearchResourcesRiskRisk FactorsSamplingSenile PlaquesSeriesSeveritiesSingle Nucleotide PolymorphismSourceSpatial DistributionTauopathiesTelomere ShorteningTestingTissuesUnited States National Institutes of HealthWorkage relatedaging brainaging populationbiobankcell agecohortgenetic associationgenetic risk factorgenomic locushealthy aginghuman old age (65+)human tissueimprovedin vivomolecular markermolecular pathologyneuropathologynovel therapeutic interventiontau Proteinstau aggregationtelomeretrait
项目摘要
Aging is among the most well-established risk factors for the accumulation of molecular pathology and
neurodegeneration with <1% of older adults lacking molecular pathology. As individuals age there is an
increased risk of neurofibrillary tau tangles (NFTs) co-occurring with amyloid-beta plaques (Aβ) consistent with
Alzheimer's disease (AD) neuropathological criteria. However, nearly all adults >50 years of age have
pathological evidence of NFTs which may occur in a similar spatial distribution to AD but typically less severe
in nature and in the absence of Aβ molecular pathology, consistent with a neuropathological diagnosis of
primary age-related tauopathy (PART). Therefore, it is currently unclear why most aging individuals develop
NFT pathology (i.e., either in PART or AD) and in variable degrees of severity while only a proportion of
individuals also develop Aβ pathology (i.e., in AD). To date the vast majority of aging research has defined
age-related pathological risk in chronological measurements (i.e., years since birth). However, the rates of
actual “biological” aspects of aging appear to differ between individuals, with some individuals displaying
features of aging that are accelerated (biological age older than their chronological age) or delayed (biological
age younger than their chronological age). The overarching goal of this proposal is to evaluate three sources of
biological aging mechanisms underlying risk and severity for NFT and Aβ molecular pathology and associated
neurodegeneration. First, DNA methylation (mDNA), or “the epigenetic clock”, can be measured to reliably
predict chronological age as well as accelerated or delayed aging. Second, telomeres are repetitive DNA
sequences and associated proteins that protect chromosome ends and shorten with cell division and age in
most human tissues, including brain. Third, we will evaluate single nucleotide polymorphisms (SNPs)
associated with reduced longevity and shortened telomere length to help identify risk factors of poor biological
aging to facilitate early interventions and pinpoint candidate genetic mechanisms for novel therapeutic
approaches. Together, we propose to use mDNA and shortest telomere length analysis (TeSLA) along with
complementary SNP association tests to evaluate the hypothesis that accelerated aging (biological age older
than chronological age) will increase the risk of molecular pathology and neurodegeneration. We will assess
biological aging in well-characterized PART and AD autopsy-confirmed samples and in vivo structural MRI and
PET molecular markers of 18F-floretaucipir (tau) and 18F-florbetaben (Aβ) in aging controls from our NIA-funded
Alzheimer's Disease Center (ADC) and collaborating ADCs. By investigating the biological aging mechanisms
of NFT and Aβ pathology, this proposal addresses a NIH priority to improve our “Understanding of Alzheimer's
Disease in the Context of the Aging Brain”. A significant proportion of the aging population has varying levels of
molecular pathology and this research will help establish mechanisms by which heterogeneity in biological
brain aging impacts the development and progression of pathological accumulation and neurodegeneration.
衰老是分子病理学积累最明确的危险因素之一,
随着个体年龄的增长,<1% 的老年人缺乏分子病理学的神经退行性疾病。
神经原纤维 tau 缠结 (NFT) 与淀粉样蛋白斑块 (Aβ) 共存的风险增加,与以下一致
然而,几乎所有 50 岁以上的成年人都患有阿尔茨海默病 (AD)。
NFT 的病理证据,其空间分布可能与 AD 类似,但通常不那么严重
在自然界中并且在不存在 Aβ 分子病理学的情况下,与神经病理学诊断一致
因此,目前尚不清楚为什么大多数衰老个体会发生原发性年龄相关性 tau 蛋白病 (PART)。
NFT 病理学(即 PART 或 AD)且严重程度各异,而只有一部分
个体也会出现 Aβ 病理(即 AD),迄今为止,绝大多数衰老研究已经明确了这一点。
时间测量中与年龄相关的病理风险(即出生后的年数)。
衰老的实际“生物学”方面似乎因人而异,有些人表现出
加速衰老(生物年龄大于实际年龄)或延迟衰老(生物年龄)的特征
该提案的总体目标是评估三个来源。
NFT 和 Aβ 分子病理学及相关风险和严重程度的生物衰老机制
首先,可以可靠地测量 DNA 甲基化(mDNA)或“表观遗传时钟”。
预测实际年龄以及加速或延迟衰老 其次,端粒是重复的 DNA。
保护染色体末端并随着细胞分裂和年龄而缩短的序列和相关蛋白质
大多数人体组织,包括大脑,第三,我们将评估单核苷酸多态性(SNP)。
与寿命缩短和端粒长度缩短相关,以帮助识别不良生物学的危险因素
衰老以促进早期干预并查明新疗法的候选遗传机制
我们建议结合使用 mDNA 和最短端粒长度分析 (TeSLA)。
补充性 SNP 关联测试可评估加速衰老(生物年龄较老)的假设
比实际年龄)会增加分子病理学和神经退行性变的风险。
在经过充分表征的 PART 和 AD 尸检确认样本以及体内结构 MRI 和
18F-floretaucipir (tau) 和 18F-florbetaben (Aβ) 在衰老控制中的 PET 分子标记,来自我们 NIA 资助的项目
阿尔茨海默病中心 (ADC) 和合作 ADC 通过研究生物衰老机制。
NFT 和 Aβ 病理学的研究,该提案解决了 NIH 的优先事项,以提高我们“对阿尔茨海默病的理解”
大脑老化背景下的疾病》。
分子病理学和这项研究将有助于建立生物异质性的机制
大脑衰老影响病理积累和神经退行性变的发生和进展。
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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Corey T McMillan其他文献
Symptomatic progression of frontotemporal dementia with the TARDBP I383V variant.
TARDBP I383V 变异导致额颞叶痴呆的症状进展。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0.8
- 作者:
Peter S Pressman;Danelle J Carter;E. Ramos;Joie Molden;Kaitlin Smith;Francesca Dino;Corey T McMillan;David Irwin;K. Rascovsky;N. Ghoshal;Marguerite V Knudtson;R. Rademakers;Daniel Geschwind;Tania F. Gendron;L. Petrucelli;H. Heuer;Bradley F Boeve;Sami Barmada;Adam L Boxer;M. G. Tempini;H. Rosen - 通讯作者:
H. Rosen
Comparison of Anatomical and Diffusion MRI for detecting Parkinson’s Disease using Deep Convolutional Neural Network
使用深度卷积神经网络检测帕金森病的解剖和扩散 MRI 的比较
- DOI:
10.1101/2023.05.01.538952 - 发表时间:
2023-05-01 - 期刊:
- 影响因子:0
- 作者:
Tamoghna Chattopadhyay;Amit Singh;Emily Laltoo;Christina P. Boyle;Conor Owens;Yao;Philip Cook;Corey T McMillan;Chih;J;Yih;Y. D. van der Werf;Paul M. Thompson - 通讯作者:
Paul M. Thompson
The Miami Framework for ALS and related neurodegenerative disorders: an integrated view of phenotype and biology.
ALS 和相关神经退行性疾病的迈阿密框架:表型和生物学的综合观点。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:38.1
- 作者:
M. Benatar;J. Wuu;Edward D. Huey;Corey T McMillan;R. C. Petersen;Ronald B Postuma;Caroline A. McHutchison;Laynie Dratch;Jalayne J Arias;Anita Crawley;Henry Houlden;Michael P McDermott;Xueya Cai;Neil Thakur;Adam L Boxer;Howard J. Rosen;Bradley F Boeve;Penny A. Dacks;Stephanie A. Cosentino;Sharon Abrahams;N. Shneider;Paul Lingor;Jeremy Shefner;Peter M Andersen;Ammar Al;Martin R. Turner - 通讯作者:
Martin R. Turner
Novel computerized measure of apathy associates with care partner burden and instrumental activities of daily living in Parkinson's disease.
新颖的计算机化测量冷漠与帕金森病患者的护理伙伴负担和日常生活的工具性活动相关。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:4.1
- 作者:
Jennifer Liu;Lauren Massimo;Corey T McMillan;N. Dahodwala - 通讯作者:
N. Dahodwala
Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases
神经退行性疾病中超高分辨率离体 7 特斯拉 MRI 的基于表面的分割和顶点分析
- DOI:
10.48550/arxiv.2403.19497 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Pulkit Khandelwal;M. T. Duong;Constanza Fuentes;Amanda Denning;Winifred Trotman;R. Ittyerah;Alejandra Bahena;T. Schuck;M. Gabrielyan;K. Prabhakaran;D. Ohm;G. Mizsei;John Robinson;Monica Munoz;John A. Detre;Edward B. Lee;David Irwin;Corey T McMillan;M. Tisdall;Sandhitsu R. Das;David A. Wolk;Paul Yushkevich - 通讯作者:
Paul Yushkevich
Corey T McMillan的其他文献
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{{ truncateString('Corey T McMillan', 18)}}的其他基金
Transcriptomic Approaches to TDP-43 Pathology
TDP-43 病理学的转录组学方法
- 批准号:
10261338 - 财政年份:2020
- 资助金额:
$ 73.88万 - 项目类别:
Transcriptomic Approaches to TDP-43 Pathology
TDP-43 病理学的转录组学方法
- 批准号:
10625545 - 财政年份:2020
- 资助金额:
$ 73.88万 - 项目类别:
Transcriptomic Approaches to TDP-43 Pathology
TDP-43 病理学的转录组学方法
- 批准号:
10454270 - 财政年份:2020
- 资助金额:
$ 73.88万 - 项目类别:
Biological Aging Contributions to Molecular Pathology and Neurodegeneration
生物衰老对分子病理学和神经退行性变的贡献
- 批准号:
10200670 - 财政年份:2019
- 资助金额:
$ 73.88万 - 项目类别:
Biological Aging Contributions to Molecular Pathology and Neurodegeneration
生物衰老对分子病理学和神经退行性变的贡献
- 批准号:
10414065 - 财政年份:2019
- 资助金额:
$ 73.88万 - 项目类别:
Biological Aging Contributions to Molecular Pathology and Neurodegeneration
生物衰老对分子病理学和神经退行性变的贡献
- 批准号:
10017140 - 财政年份:2019
- 资助金额:
$ 73.88万 - 项目类别:
Resistance and Vulnerability for Alzheimer's and Related Pathologies
阿尔茨海默病及相关病理的抵抗力和脆弱性
- 批准号:
9897707 - 财政年份:2019
- 资助金额:
$ 73.88万 - 项目类别:
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