In vivo MRI Biomarkers of Microstructural Correlates of Brain Pathology in Preclinical and Early Alzheimer Disease

临床前和早期阿尔茨海默病脑病理学微观结构相关的体内 MRI 生物标志物

• 批准号: 9381996
• 负责人: DMITRIY A YABLONSKIY
• 金额: $ 50.97万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9381996
• 关键词: Address; Affect; Age; Aging; Alzheimer' s Disease; Amyloid; Applications Grants; Autopsy; Biological Markers; Brain; Brain Diseases; Brain Pathology; Cellular Structures; Clinical; Cognition; Cognitive; Cognitive deficits; Country; Data; Dementia; Development; Diagnosis; Disease; Disease Progression; Early identification; Evaluation; Failure; Female; Goals; Gold; Health; Hippocampus (Brain); Human; Imaging Techniques; Immunohistochemistry; Impaired cognition; Impairment; Individual; Intervention; Investigational Therapies; Laboratories; MRI Scans; Magnetic Resonance Imaging; Measurement; Measures; Mental disorders; Methods; Modeling; Molecular; Monitor; Multiple Sclerosis; Nature; Neurodegenerative Disorders; Neurofibrillary Tangles; Normal Range; Participant; Pathologic; Pathologic Processes; Pathology; Pattern; Performance; Pharmaceutical Preparations; Population; Positron-Emission Tomography; Prevention trial; Property; Protocols documentation; Radiation exposure; Recruitment Activity; Relaxation; Reproducibility; Research; Resolution; Role; Signal Transduction; Structure; Surrogate Markers; Symptoms; Techniques; Testing; Therapeutic Intervention; Time; Tissues; Tracer; Treatment Efficacy; United States National Institutes of Health; Universities; Visit; Washington; abeta accumulation; base; brain tissue; cognitive performance; contrast imaging; disorder prevention; follow-up; histological stains; in vivo; innovation; insight; magnetic resonance imaging biomarker; male; mild cognitive impairment; neuron loss; neuropathology; pre-clinical; prevent; screening; symptom treatment; tau Proteins

This grant application addresses a significant health problem - Alzheimer’s disease (AD) - that affects ~5.3 million people in the US and 20-30 million worldwide. As the population ages, these numbers are anticipated to rise, stimulating an intense search for disease prevention and treatment therapies as well as for biomarkers allowing early identification of AD. The latter is very important due to the existence of a long pre-symptomatic period that can be used for the initiation of prevention trials of disease-modifying therapies in asymptomatic individuals, with the goal of preventing cognitive decline as opposed to treating of symptoms that are already present. The main goal of this study is to provide a groundwork for using the innovative MRI-based Gradient Echo Plural Contrast Imaging (GEPCI) technique for in vivo identifying early pathological changes in the AD brain. This technique, GEPCI, developed in our laboratory, provides surrogates for quantitative assessments of changes in the brain tissue structure at the cellular level and has been already successfully applied to evaluating tissue damage in multiple sclerosis and some psychiatric diseases. Our preliminary data, obtained on well-characterized research participants recruited from studies of aging and dementia at the Washington University Knight Alzheimer’s Disease Research Center, allowed us to demonstrate for the first time that in vivo MRI-based measurements obtained on a clinical MRI scanner can provide information on brain amyloid-β accumulation in human participants, and to distinguish between healthy control, preclinical and mild AD stages. Based on these results, we plan to achieve the following Specific Aims: 1. Our Aim 1 is to develop a readily available, non-invasive quantitative in vivo MRI-based biomarker that can serve as a surrogate for amyloid-β accumulation in the brain (a primary role of Aβ in the development of Alzheimer's disease is now almost universally accepted). 2. Our Aim 2 is to establish specific quantitative and spatial patterns of GEPCI metrics abnormalities that would distinguish between normal brain, preclinical AD, and very mild AD. 3. Our Aim 3 is to establish the effect of early AD-related brain tissue damage (defined by GEPCI surrogate biomarkers) on cognitive performance and to test the hypothesis that the GEPCI metrics and/or changes in GEPCI metrics can be predictors of the disease progression. 4. Our Aim 4 is to validate GEPCI measurements against direct neuropathology. The overarching goal of this proposal is to establish GEPCI as an in vivo non-invasive MRI technique available in a conventional clinical setting for screening population for preclinical AD pathology and clinical drug trials. GEPCI data are quantitative, reproducible and MRI scanner independent, thus allowing multi-center applications. The non-invasive nature of our approach is especially important since most of currently available biomarkers for identifying AD “are invasive, to one degree or another (NIH PAR-15-359)”.

这项拨款申请解决了一个重大的健康问题——阿尔茨海默病（AD）——影响着约530万人