The primary mission of Core A is to provide leadership, coordination and integration of all the components of the UK-ADC, so that our programmatic and scientific goals are achieved. Our overall scientific objective is to support and facilitate research aimed at elucidating the pathogenic mechanisms underlying the transitions from normal cognitive aging to the development of AD, with a long-term goal of enabling more effective translation of this mechanistic knowledge to intervention strategies. The UK-ADC has historically been at the forefront of supporting research in identification of the early manifestations of disease and the pathogenic mechanisms underlying the transitions from normal cognitive aging to the development of AD. In the renewal period, we will build upon this highly successful focus, as well as leverage several recent positive developments at UK that will expand our translational research capability, and thereby help to increase the rate of progress toward new therapies to delay or prevent AD. The UK-ADC functions in a multidisciplinary, integrated, and supportive environment that catalyzes high-quality AD research within the UK community and throughout Kentucky and beyond. The ADC also enhances education and outreach within UK and in the community, and provides clinical diagnoses and care of patients with cognitive impairment. The ADC serves as the focal point of all AD-related activities in Kentucky, providing the infrastructure and resources to enhance scientific interactions and develop new collaborations. The ADC also reaches beyond Kentucky to enhance AD research, education, and clinical practice on a national level through its interactions with other ADCs, as well as other regional and national institutions, including the Alzheimer's Association, NIA and industry. An effective Administrative Core is essential for transforming ADC goals into accomplishments. Therefore, Core A will continue to support the ability of our UK-ADC to serve as a critical resource for the university, community, state, region and nation through a set of integrated and intertwined specific aims.
Aim 1 : Provide leadership and an organizational framework for management and coordination of all ADC activities to ensure optimal resource utilization to meet the overall goals of the ADC.
Aim 2 : Enable the ADC to serve as the focal point of AD-related activities in Kentucky by continuing to coordinate, facilitate, and promote scientific interactions.
Aim 3 : Contribute to and interact with other ADCs and other national collaborative activities and the lay community, to increase visibility of the ADC and maximize progress in AD research throughout the country.

Public Health Relevance

Our goal is to catalyze outstanding AD research while ensuring more rapid progress toward new therapies to delay or prevent AD, so that our human volunteers, patients and caregivers become the beneficiaries of our advances in knowledge. Our well integrated center is moving the field of cognitive aging and AD forward and supporting the elucidation of mechanisms of disease progression so that successful interventions can be developed in the future to treat or prevent this most dehumanizing disorder to affect humans.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG028383-07
Application #
8380563
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5)
Project Start
Project End
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
7
Fiscal Year
2012
Total Cost
$225,441
Indirect Cost
$82,732
Name
University of Kentucky
Department
Type
DUNS #
939017877
City
Lexington
State
KY
Country
United States
Zip Code
40506
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
Pruzin, J J; Nelson, P T; Abner, E L et al. (2018) Review: Relationship of type 2 diabetes to human brain pathology. Neuropathol Appl Neurobiol 44:347-362
Besser, Lilah; Kukull, Walter; Knopman, David S et al. (2018) Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set. Alzheimer Dis Assoc Disord 32:351-358
Nelson, Peter T; Wang, Wang-Xia; Janse, Sarah A et al. (2018) MicroRNA expression patterns in human anterior cingulate and motor cortex: A study of dementia with Lewy bodies cases and controls. Brain Res 1678:374-383
Broster, Lucas S; Li, Juan; Wagner, Benjamin et al. (2018) Spared behavioral repetition effects in Alzheimer's disease linked to an altered neural mechanism at posterior cortex. J Clin Exp Neuropsychol 40:761-776
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
Crum, Jana; Wilson, Jeffrey; Sabbagh, Marwan (2018) Does taking statins affect the pathological burden in autopsy-confirmed Alzheimer's dementia? Alzheimers Res Ther 10:104
Brent, Robert J (2018) Estimating the monetary benefits of medicare eligibility for reducing the symptoms of dementia. Appl Econ 50:6327-6340

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