This Neuroathology Core (NP Core) has two components: One NPCore component is located at the University of California in San Francisco (UCSF) and the other is located at the University of Pennsylvania Medical Center (UPMC). Three main reasons for this arrangement are: (1) The overall theme of this ADRC is longitudinal comparisons of human frontotemporal lobar degenerative diseases (FTLD) and prion diseases with Alzheimer's disease, mild cognitive impairment, and normal control subjects enrolled in the ADRC. (2) UCSF has already had a long-standing FTDL collaboration with the UPML Laboratory. (3) Both Laboratories use unique morphological, immunohistochemical, and neurochemical methods to study these diseases, which makes this two component NP Core the ideal neuropathology adjunct to an ADRC that will emphasize studies of FTLDs and prion diseases. The UCSF NP Core assumes the main responsibility for obtaining autopsy brains, because the the subjects are recruited by the Clinical Core at UCSF and will likely die in the vicinity of UCSF. As such, the UCSF NP Core will perform the autopsies, obtain brain samples for research from the fresh brain, bank the research samples, prepare the remainder of the brain for standard neurohistopathological analysis, and send selected research and diagnostic brain samples from suspected FTLD cases to the UPMC NP Core component. Research samples, 2x2x1 cm, will be dissected bilaterally from the uncut brain at 15 cortical sites (Brodmann areas) known to either degenerate or be spared in FTLDs. In addition, similar samples will be obtained from the rotral (anterior) cigulate gyrus and the rostral insular cortex. These samples will be divided in half with one half immersion-fixed in paraformaldehyde for possible immunohistochemical studies and the other half frozen for neurochemical and molecular studies. These will be banked in the UCSF NPCore for use by investigators of the ADRC or other suitable outside investigators. The UCSF NP Core will use selected samples of this tissue to perform stereological estimates of synapse densities and nerve cell numbers. The rest of the brain and brainstem is formalin-fixed for neurohistopathological analysis to determine diagnosis using accepted diagnostic criteria.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG023501-02
Application #
7063280
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2005-04-01
Budget End
2006-03-31
Support Year
2
Fiscal Year
2005
Total Cost
$180,188
Indirect Cost
Name
University of California San Francisco
Department
Type
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Bonham, Luke W; Geier, Ethan G; Steele, Natasha Z R et al. (2018) Insulin-Like Growth Factor Binding Protein 2 Is Associated With Biomarkers of Alzheimer's Disease Pathology and Shows Differential Expression in Transgenic Mice. Front Neurosci 12:476
Schneider, Raphael; McKeever, Paul; Kim, TaeHyung et al. (2018) Downregulation of exosomal miR-204-5p and miR-632 as a biomarker for FTD: a GENFI study. J Neurol Neurosurg Psychiatry 89:851-858
Davis, Jeremy J (2018) Performance validity in older adults: Observed versus predicted false positive rates in relation to number of tests administered. J Clin Exp Neuropsychol 40:1013-1021
Ramsey, Christine M; Gnjidic, Danijela; Agogo, George O et al. (2018) Longitudinal patterns of potentially inappropriate medication use following incident dementia diagnosis. Alzheimers Dement (N Y) 4:1-10
Karch, Celeste M; Wen, Natalie; Fan, Chun C et al. (2018) Selective Genetic Overlap Between Amyotrophic Lateral Sclerosis and Diseases of the Frontotemporal Dementia Spectrum. JAMA Neurol 75:860-875
Scheltens, Nienke M E; Tijms, Betty M; Heymans, Martijn W et al. (2018) Prominent Non-Memory Deficits in Alzheimer's Disease Are Associated with Faster Disease Progression. J Alzheimers Dis 65:1029-1039
Lin, Ming; Gong, Pinghua; Yang, Tao et al. (2018) Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment. Alzheimer Dis Assoc Disord 32:18-27
Hadjichrysanthou, Christoforos; McRae-McKee, Kevin; Evans, Stephanie et al. (2018) Potential Factors Associated with Cognitive Improvement of Individuals Diagnosed with Mild Cognitive Impairment or Dementia in Longitudinal Studies. J Alzheimers Dis 66:587-600
Staffaroni, Adam M; Brown, Jesse A; Casaletto, Kaitlin B et al. (2018) The Longitudinal Trajectory of Default Mode Network Connectivity in Healthy Older Adults Varies As a Function of Age and Is Associated with Changes in Episodic Memory and Processing Speed. J Neurosci 38:2809-2817
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71

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