The aim of this proposal is to test directly in the mouse brain an old and widely believed idea that excess calcium entering a neuron through glutamate receptors can cause neurodegenerative brain disease as is observed in Alzheimer's patients. This will be accomplished by genetic engineering mice so that they express glutamate receptors which flux abnormally high amounts of calcium into the cell during normal synaptic transmission. The experiments will make use of recombinant DNA technology and the production of mutant mice by genetic engineering methods. Gene targeting methods will be used to knockout or disrupt glutamate receptor genes. Point mutations will be introduced into glutamate receptor genes using the recently developed """"""""Hit and Run"""""""" technology. The mutant mice will be analyzed using a variety of techniques. The brains will be sectioned and examined for gross morphology changes and evidence of cell death. The slice preparation will be used to measure synaptic transmission and the ability of the synapses to undergo synaptic plasticity phenomenon such as LTP and LDP. The Morris maze will be used to test for learning and memory function.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
5P50AG005131-13
Application #
5204430
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
13
Fiscal Year
1996
Total Cost
Indirect Cost
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Sundermann, Erin E; Tran, My; Maki, Pauline M et al. (2018) Sex differences in the association between apolipoprotein E ?4 allele and Alzheimer's disease markers. Alzheimers Dement (Amst) 10:438-447
Besser, Lilah; Kukull, Walter; Knopman, David S et al. (2018) Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set. Alzheimer Dis Assoc Disord 32:351-358
Graves, Lisa V; Van Etten, Emily J; Holden, Heather M et al. (2018) Refining CVLT-II recognition discriminability indices to enhance the characterization of recognition memory changes in healthy aging. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn 25:767-782
Edmonds, Emily C; Weigand, Alexandra J; Thomas, Kelsey R et al. (2018) Increasing Inaccuracy of Self-Reported Subjective Cognitive Complaints Over 24 Months in Empirically Derived Subtypes of Mild Cognitive Impairment. J Int Neuropsychol Soc 24:842-853
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Crum, Jana; Wilson, Jeffrey; Sabbagh, Marwan (2018) Does taking statins affect the pathological burden in autopsy-confirmed Alzheimer's dementia? Alzheimers Res Ther 10:104
González, Hector M; Tarraf, Wassim; Vásquez, Priscilla et al. (2018) Metabolic Syndrome and Neurocognition Among Diverse Middle-Aged and Older Hispanics/Latinos: HCHS/SOL Results. Diabetes Care 41:1501-1509
Burke, Shanna L; Cadet, Tamara; Maddux, Marlaina (2018) Chronic Health Illnesses as Predictors of Mild Cognitive Impairment Among African American Older Adults. J Natl Med Assoc 110:314-325

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