AD-specific changes in the MTL: Novel biomarkers using in vivo / ex vivo imaging

MTL 中的 AD 特异性变化：使用体内/离体成像的新型生物标志物

• 批准号: 9927957
• 负责人: Paul A. Yushkevich
• 金额: $ 69.84万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-05-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9927957
• 关键词: 3-Dimensional; Address; Adult; Age; Aging; Algorithms; Alzheimer' s Disease; Alzheimer' s disease pathology; Alzheimer’s disease biomarker; Amyloid; Amyloid beta-Protein; Anatomy; Area; Atlases; Autopsy; Biological; Biological Markers; Brain; Brain Pathology; Brain imaging; Brain region; Brodmann' s area; Cerebrovascular Disorders; Clinical Trials; Computational Technique; Cross-Sectional Studies; Data; Data Set; Disease; Disease Progression; Funding; Goals; Hippocampus (Brain); Histologic; Histology; Hot Spot; Image; Image Analysis; Immunohistochemistry; Individual; Lateral; Link; MRI Scans; Magnetic Resonance Imaging; Maps; Measures; Medial; Methods; Modernization; Morphology; Nerve Degeneration; Neurodegenerative Disorders; Neurofibrillary Tangles; Neuronal Injury; Neurons; Nissl Bodies; Outcome Measure; Participant; Pathologic; Pathology; Pattern; Pharmaceutical Preparations; Phase; Positron-Emission Tomography; Protocols documentation; Research; Resolution; Rest; Scanning; Senile Plaques; Series; Societies; Spatial Distribution; Specimen; Stains; Structure; Techniques; Temporal Lobe; Testing; Thick; Time; Validation; Vascular Diseases; Work; age effect; alpha synuclein; automated segmentation; base; comorbidity; computational atlas; cost; density; early detection biomarkers; entorhinal cortex; ex vivo imaging; extracellular; functional MRI scan; gray matter; histological image; imaging biomarker; improved; in vivo; in vivo imaging; longitudinal analysis; magnetic resonance imaging biomarker; molecular pathology; multi-atlas segmentation; multimodal data; neuroimaging; normal aging; novel; novel marker; pre-clinical; protein TDP-43; recruit; relating to nervous system; tau Proteins; treatment effect; ultra high resolution

Alzheimer's disease (AD) is one of the greatest challenges facing our society. Finding a cure will almost certainly require gaining a better understanding of the biological mechanisms that cause AD and distinguishing their effects from aging and commonly comorbid non-AD pathologies. Furthermore, drug trials in AD can benefit from more powerful biomarkers, particularly biomarkers that can better identify individuals who have incipient preclinical AD pathology and are likely to progress to the active neurodegenerative phase of AD in a short timeframe, as well as biomarkers that can act as surrogate measures of outcome by measuring the effects of a drug on subtle changes in the brain's structural integrity. This project will address these challenges by focusing on the medial temporal lobe (MTL), the area of the brain where the earliest AD-related neuronal injury occurs. The project will use a combination of ex vivo and in vivo imaging, including ex vivo and in vivo imaging in the same subjects, to characterize the effects of AD and non-AD pathology on the MTL and to identify “hot spots” in the MTL where changes observable on in vivo MRI are specific to AD pathology. Novel biomarkers of AD that leverage this information will be developed and evaluated using the recently funded Phase 3 of the Alzheimer's Disease Neuroimaging Initiative (ADNI3). Aim 1 will image 80 intact MTL autopsy specimens using ultra high-resolution 9.4 Tesla MRI and serial histological imaging with immunohistochemical staining for tau, beta-amyloid, TDP43, and alpha-synuclein pathologies. Brains from these autopsies will also be assessed for evidence of cerebrovascular disease. Histology data will be co-registered to the MRI, and MRI of all specimens will be co-registered to a novel ex vivo MRI template. Statistical mapping in the template space will be used to describe spatial distributions of AD and non-AD pathologies, to characterize the morphological effects of these pathologies, and to identify regions of the MTL where changes in structural integrity (i.e., gray matter thickness) specifically correlate with AD pathology. Aim 2 will extend prior work on automatic multi-atlas segmentation and quantification of MTL subregions in high-resolution T2-weighted in vivo MRI scans of the MTL with a novel atlas that combines ex vivo and in vivo imaging in the same subjects (n=40). This unique in vivo/ex vivo dataset will allow histological validation of MTL subregion segmentation protocols and algorithms, but will also serve as a conduit for mapping distributions of pathology and other rich information defined in the ex vivo template in Aim 1 into the space of in vivo imaging. Aim 3 will develop in vivo imaging biomarkers based on the cross-sectional and longitudinal analysis of high-resolution T2-weighted in vivo MRI. These biomarkers will incorporate information on the patterns of AD and non-AD pathology in the MTL derived in Aim 1. The proposed biomarkers will be evaluated using high-resolution T2-weighted in vivo MRI in ADNI3 (which is being obtained from over 1000 ADNI3 participants) and compared to current state of the art MRI and PET-based AD biomarkers.

阿尔茨海默病（AD）是我们社会面临的最大挑战之一。找到治疗方法几乎