Abstract

The long term objective is to elucidate the biochemical properties of cholinesterases in the plaques and tangles of Alzheimer's disease. Anatomical, pathological, histochemical, biochemical, immunohistochemical and ultrastructural methods will be used to identify the unique properties of plaque and tangle-bound cholinesterases. This is and important objective because recent observations have revealed a selective and universal enhancement of cholinesterase activity in all plaques and tangles. Furthermore, it appears that these cholinesterases are different from the cholinesterases may thus play an important role in the pathogenesis of Alzheimer's disease. As part of this research, cholinesterase inhibitors that are optimally suited to inhibit the type of cholinesterases associated with plaques and tangles will be sought and identified. Cholinesterase inhibitors with this type of activity profile may be more effective than currently available substances for the treatment of Alzheimer's disease.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
2P50AG005134-06
Application #
3813943
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
6
Fiscal Year
1989
Total Cost
Indirect Cost

  Institution

Name
Harvard University
Department
Type
DUNS #
082359691
City
Boston
State
MA
Country
United States
Zip Code
02115

  Publications

Makaretz, Sara J; Quimby, Megan; Collins, Jessica et al. (2018) Flortaucipir tau PET imaging in semantic variant primary progressive aphasia. J Neurol Neurosurg Psychiatry 89:1024-1031
Gallagher, Damien; Kiss, Alex; Lanctot, Krista et al. (2018) Depression and Risk of Alzheimer Dementia: A Longitudinal Analysis to Determine Predictors of Increased Risk among Older Adults with Depression. Am J Geriatr Psychiatry 26:819-827
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
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064
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
Wimalaratne, Sarala M; Juty, Nick; Kunze, John et al. (2018) Uniform resolution of compact identifiers for biomedical data. Sci Data 5:180029
Woerman, Amanda L; Kazmi, Sabeen A; Patel, Smita et al. (2018) Familial Parkinson's point mutation abolishes multiple system atrophy prion replication. Proc Natl Acad Sci U S A 115:409-414
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
Kirson, Noam Y; Scott Andrews, J; Desai, Urvi et al. (2018) Patient Characteristics and Outcomes Associated with Receiving an Earlier Versus Later Diagnosis of Probable Alzheimer's Disease. J Alzheimers Dis 61:295-307
Woerman, Amanda L; Kazmi, Sabeen A; Patel, Smita et al. (2018) MSA prions exhibit remarkable stability and resistance to inactivation. Acta Neuropathol 135:49-63

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