The overall goal of the Neuropathology Core (Core D) is to collect, characterize, store, and distribute well-characterized brains from autopsy participants from the Clinical Core, consisting of a group of well-documented individuals with Alzheimer disease (AD) and from normal control individuals without neurological disease. Specific Core D aims are: 1) diagnostic neuropathological evaluation of each brain, using a meticulous diagnostic approach, essential to all studies related to and stemming from these subjects. A standardardized approach for neuropathologic assessment is performed using published diagnostic criteria for those brains with recognizable neurodegenerative diseases. Neuropathological diagnosis of Alzheimer disease is based on NIA-Reagan Institute criteria. Other neurodegenerative diseases, coexistent with or instead of AD, will be evaluated by currently available published criteria. 2) Tissue preparation for research, collaboration. Processing and storing tissue from each brain and skeletal muscle sample collected will be performed for subsequent distribution to KU ADCC and other approved investigators to support AD-related research. Core D will contribute neuropathology case information to the NACC database. In order to assist investigators studying animal models of AD and related disorders, neuropathology services provided for study of human tissues will also be made available for animal-based researchers. Core D will also investigate new techniques and products for enhancing tissue preservation related to the proposed studies emphasized by this ADC. There is excellent integration with the other Cores, ranging from provision of tissue for genetic, metabolic studies (MGM Core), clinicopathological correlations (Clinical, Neuroimaging, Education Cores), centralization of data (Data Management Core), reviewing tissue requests (Administration Core), to community and resident education (Education Core). As new criteria for neuropathological assessments, new methodologies, and feedback from the other cores and the AD-neurodegenerative field occurs. Core D will show adaptability in order to implement change in assessments of the brains.

Public Health Relevance

In studies of AD, it is important to correlate clinical and peripheral biospecimen data with brain pathological changes. These studies may contribute to biomarker development, additional insights into AD pathogenesis, and evaluation of response or adverse effects due to therapeutic interventions.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG035982-03
Application #
8501216
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
3
Fiscal Year
2013
Total Cost
$143,106
Indirect Cost
$47,702
Name
University of Kansas
Department
Type
DUNS #
016060860
City
Kansas City
State
KS
Country
United States
Zip Code
66160
Wilkins, Heather M; Swerdlow, Russell H (2016) Relationships Between Mitochondria and Neuroinflammation: Implications for Alzheimer's Disease. Curr Top Med Chem 16:849-57
LoBue, Christian; Denney, David; Hynan, Linda S et al. (2016) Self-Reported Traumatic Brain Injury and Mild Cognitive Impairment: Increased Risk and Earlier Age of Diagnosis. J Alzheimers Dis 51:727-36
Dardis, A; Zampieri, S; Canterini, S et al. (2016) Altered localization and functionality of TAR DNA Binding Protein 43 (TDP-43) in niemann- pick disease type C. Acta Neuropathol Commun 4:52
Lai, Dongbing; Xu, Huiping; Koller, Daniel et al. (2016) A MULTIVARIATE FINITE MIXTURE LATENT TRAJECTORY MODEL WITH APPLICATION TO DEMENTIA STUDIES. J Appl Stat 43:2503-2523
Ahmed, Ali Bani; Cirstea, Carmen M (2016) Positive Effect of Impairment-Oriented Training on N-Acetylaspartate Levels of Ipsilesional Motor Cortex in Subcortical Stroke: A Case Study. Int J Phys Med Rehabil 4:
Day, Gregory S; Musiek, Erik S; Roe, Catherine M et al. (2016) Phenotypic Similarities Between Late-Onset Autosomal Dominant and Sporadic Alzheimer Disease: A Single-Family Case-Control Study. JAMA Neurol 73:1125-32
Ronquillo, Jay Geronimo; Baer, Merritt Rachel; Lester, William T (2016) Sex-specific patterns and differences in dementia and Alzheimer's disease using informatics approaches. J Women Aging 28:403-11
Ringman, John M; Monsell, Sarah; Ng, Denise W et al. (2016) Neuropathology of Autosomal Dominant Alzheimer Disease in the National Alzheimer Coordinating Center Database. J Neuropathol Exp Neurol 75:284-90
Wilkins, Heather M; Koppel, Scott; Carl, Steven M et al. (2016) Oxaloacetate enhances neuronal cell bioenergetic fluxes and infrastructure. J Neurochem 137:76-87
Besser, Lilah M; Alosco, Michael L; Ramirez Gomez, Liliana et al. (2016) Late-Life Vascular Risk Factors and Alzheimer Disease Neuropathology in Individuals with Normal Cognition. J Neuropathol Exp Neurol 75:955-962

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