Clinical diagnosis of Alzheimer's disease is most accurate when the patient presents with frank progressive cognitive decline. However, it is likely that signs and symptoms of Alzheimer's disease become evident after the pathophysiological processes of the disease have become established. A convenient early marker for Alzheimer's disease would be useful for identifying persons at risk for developing the illness. Such markers will be essential for early intervention when effective treatments become available. Numerous studies have indicated that the principal risk factors for developing Alzheimer's disease are age and having a first-degree relative with Alzheimer's disease. Thus the very old individuals and first-degree relatives of Alzheimer's disease patients constitute high-risk groups and should be expected to develop Alzheimer's disease at a more rapid rate than the general population. Members of these high-risk groups are therefore appropriate subjects for testing hypotheses concerned with detection of early Alzheimer's disease. A significant portion of Alzheimer's disease patients have elevated serum levels of the acute phase reactants a-antichymotrypsin and a- macroglobulin. In particular, elevated serum levels, of a- antichymotrypsin are associated with clinical Alzheimer's disease. It is proposed to compare serum acute phase reactant levels of age-matched subjects who fall into one of the following groups: Non-demented very old (age > 85); Early dementia; -Dementia; First-degree relatives of Alzheimer's disease patients. It is also proposed to determine if levels of acute phase reactants are correlated with neuropsychological markers of dementia in these subjects categories. Serum acute phase reactant levels of dementia in these subject categories. Serum acute phase reactant levels will be measured at yearly intervals for all patients to determine both how they change with time and if changes are associated with a decrease in cognitive performance. For those subjects in the study who come to autopsy, ante-mortem serum acute phase reactant levels will be compared to neuropathologic findings to determine the relationship of serum acute phase reactant levels to autopsy-proven Alzheimer's disease.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG002219-17
Application #
6233957
Study Section
Project Start
1997-04-25
Project End
1998-03-31
Budget Start
1996-10-01
Budget End
1997-09-30
Support Year
17
Fiscal Year
1997
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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