Although much is known about the biochemical and morphologic substrates of the late stages of AD, relatively little is currently understood of the initial phases of this disorder and how those initial phases differ from what has been referred to as """"""""normal aging"""""""". Based on our review of the literature, it is clear that prospective, longitudinal cognitive assessment is imperative for the identification of intact intellectual functioning as well as the earliest aspects of cognitive decline leading eventually to clinically apparent AD. Addressing these deficiencies in our knowledge, this project will perform detailed neuropathologic evaluations in order to characterize the extent and distribution of lesions in individuals judged, based on serial prospective cognitive assessment, to have either a) intact and stable cognitive functioning, b) early mild cognitive decline but with impairment insufficient to meet NINCDS Alzheimer's disease criteria or c) recent onset (early) Alzheimer's disease. Through the collection and morphologic examination of elderly subjects initially identified with intact cognitive function we anticipate having available to us significant numbers of brain specimens which will represent clinically verified normal controls of advanced age as well as individuals who appear to be in the earliest phases of AD. Our objective is to determine the pattern of the development of the cardinal lesions associated with the earliest phases of Alzheimer's disease. In our studies we will assess the extent and distribution of neurofibrillary tangles and senile plaques in the entorhinal cortex, hippocampus and selected neocortical regions of such cases. We will also investigate synaptic integrity through the use of anti-synaptophysin immunoreactivity as a potential correlate of early cognitive loss. Finally, using an antibody to vascular heparan sulphate proteoglycan we will explore evidence of alterations of the cerebral cortical microvasculature in these cases. We will cognitive impairment and to distinguish the regional pattern of these alterations. This project represents an unprecedented opportunity to explore issues of the neuropathologic substrates of normal aging and early phases of AD in an extremely elderly population.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
2P01AG002219-14
Application #
3745607
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
14
Fiscal Year
1994
Total Cost
Indirect Cost
Name
Mount Sinai School of Medicine
Department
Type
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10029
Gusev, Alexander; Mancuso, Nicholas; Won, Hyejung et al. (2018) Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nat Genet 50:538-548
Girdhar, Kiran; Hoffman, Gabriel E; Jiang, Yan et al. (2018) Cell-specific histone modification maps in the human frontal lobe link schizophrenia risk to the neuronal epigenome. Nat Neurosci 21:1126-1136
Hauberg, Mads E; Fullard, John F; Zhu, Lingxue et al. (2018) Differential activity of transcribed enhancers in the prefrontal cortex of 537 cases with schizophrenia and controls. Mol Psychiatry :
Agrawal, A; Chou, Y-L; Carey, C E et al. (2018) Genome-wide association study identifies a novel locus for cannabis dependence. Mol Psychiatry 23:1293-1302
Dobbyn, Amanda; Huckins, Laura M; Boocock, James et al. (2018) Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS. Am J Hum Genet 102:1169-1184
Gandal, Michael J; Haney, Jillian R; Parikshak, Neelroop N et al. (2018) Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap. Science 359:693-697
Khan, Atlas; Liu, Qian; Wang, Kai (2018) iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes. BMC Bioinformatics 19:501
Giambartolomei, Claudia; Zhenli Liu, Jimmy; Zhang, Wen et al. (2018) A Bayesian framework for multiple trait colocalization from summary association statistics. Bioinformatics 34:2538-2545
Toker, Lilah; Mancarci, Burak Ogan; Tripathy, Shreejoy et al. (2018) Transcriptomic Evidence for Alterations in Astrocytes and Parvalbumin Interneurons in Subjects With Bipolar Disorder and Schizophrenia. Biol Psychiatry 84:787-796
Huckins, L M; Hatzikotoulas, K; Southam, L et al. (2018) Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol Psychiatry 23:1169-1180

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