The primary goal of the BU ADC Clinical Core is to provide resources and infrastructure to facilitate clinical research in Alzheimer's disease (AD) and related disorders, such that data and well-characterized research subjects are widely available and shared with other investigators and institutions. During the current funding cycle of the BU ADC, Clinical Core faculty have made major contributions in several important and innovative areas of investigation, which include three general themes: (1) Alzheimer's disease (AD) genetics and genetic risk disclosure;(2) medical and environmental risk factors for cognitive aging;and (3) the longterm effects of repetitive head trauma in the development of neurodegenerative disease. Core faculty have led or participated in several high profile national studies and have facilitated and made possible major breakthroughs in AD-related research both locally and nationally. The longitudinal Patient/Control Registry is now fully subscribed with over 450 active participants and a wide variety of clinical research studies are being actively supported. Over this past cycle, there have been 1374 referrals of registry participants to other studies with 752 enrollments to a total of 38 unique research projects.
The Specific Aims of the Clinical Core for the next five years are:
Specific Aim 1 : To support innovative clinical AD research by identifying, recruiting, and thoroughly characterizing subjects willing to participate in clinical trials and other cutting-edge clinical research studies. We will leverage our resources to promote and accomplish wodd-class AD-related research at BU through our partnerships with the Center for the Study of Traumatic Encephalopathy and the Framingham Heart Study and through our role as a leading site in national NIH and industry supported clinical research.
Specific Aim 2 : To establish research-quality diagnoses on all participants through multidisciplinary diagnostic consensus conferences and to collect and submit high quality data to the Data Management and Statistics Core (DMSC) for timely UDS submissions to the NACC database and for data sharing with qualified AD investigators engaged in cutting edge AD-related research.
Specific Aim 3 : To collect, store, analyze, and distribute biological samples from registry participants for APOE genotyping, DNA banking, and biomarker assays, to support high priority AD-related research.
Specific Aim 4 : To collaborate with the neuropathology and education cores to maximize CNS tissue donation for clinicopathological correlations and for other state of the art tissue-based research.

Public Health Relevance

Alzheimer's disease (AD) and related disorders present a growing public health crisis. The BU ADC Clinical Core provides multiple resources, including well-characterized participants, biospecimens, clinical research data, and expertise to advance our knowledge of the detection, diagnosis, genetics, clinical course, prevention, and treatment of AD and related disorders.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG013846-18
Application #
8501190
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
18
Fiscal Year
2013
Total Cost
$499,717
Indirect Cost
$103,118
Name
Boston University
Department
Type
DUNS #
604483045
City
Boston
State
MA
Country
United States
Zip Code
02118
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Guan, Yue; Roter, Debra L; Wolff, Jennifer L et al. (2018) The impact of genetic counselors' use of facilitative strategies on cognitive and emotional processing of genetic risk disclosure for Alzheimer's disease. Patient Educ Couns 101:817-823
Li, Jinlei; Ogrodnik, Matthew; Devine, Sherral et al. (2018) Practical risk score for 5-, 10-, and 20-year prediction of dementia in elderly persons: Framingham Heart Study. Alzheimers Dement 14:35-42
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela et al. (2018) Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout. Int Psychogeriatr 30:1477-1487
Alosco, Michael L; Sugarman, Michael A; Besser, Lilah M et al. (2018) A Clinicopathological Investigation of White Matter Hyperintensities and Alzheimer's Disease Neuropathology. J Alzheimers Dis 63:1347-1360
Cherry, Jonathan D; Mez, Jesse; Crary, John F et al. (2018) Variation in TMEM106B in chronic traumatic encephalopathy. Acta Neuropathol Commun 6:115
Brent, Robert J (2018) Estimating the monetary benefits of medicare eligibility for reducing the symptoms of dementia. Appl Econ 50:6327-6340
Deming, Yuetiva; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 136:857-872

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