The mission of our Perimenopause in Brain Aging and Alzheimer's Disease Program Project (P3) is to discover the biological transformations that occur in the brain during the perimenopausal transition which can result in phenotypes predicfive of risk for development of Alzheimer's pathology. We seek to identify the mechanisms by which these changes occur, and translate these discoveries to determine the opfimal fiming and strategies for preventing conversion to the perimenopausal at-risk phenotype. Successful execution of our Perimenopausal Program Project Aims demands a high degree of coordination, intellectual synergy, collaboration and communication across and among all Projects and Cores. Administrative Core provides a structural organization to facilitate timely and efficient communication and integrative links among Projects and Cores. The Administrative Core (Core A) will ensure the success of the Perimenopause Program Project through effective leadership, the provision of data management and biostatistical resources, and the forging of partnerships to synergize efforts and maximize resources. Administrative Core specific aims are: (1) Specific Aim 1: Lead and administer Perimenopause in Brain Aging and Alzheimer's Disease Program Project (manage and steward intellectual, technological and financial resources, identify and overcome barriers to progress, create liaisons with similariy-focused research and training programs);(2) Specific Aim 2: Provide organizational systems for data management and communicafion within the Program Project Members and External Reviewers (implement and maintain a Web-based data entry, data management, and animal- and specimen tracking system);(3) Specific Aim 3: Conduct program-wide integrated stafistical and bioinformatic analysis (provide biostafisfical consulting in the design, coordination, and analyses of projects, oversee gene array and bioinformatics data management on program data management system, integrate gene expression profile across program;conduct program-wide bioinformafic network analysis).

Public Health Relevance

The Administrative Core (Core A) provides the organization to facilitate timely and efficient communication and integrafive links among Projects and Cores. The Administrafive Core will ensure the success of the Program Project through effective leadership, provision of data management and biostatistical and bioinformafic resources, and forging partnerships to synergize efforts and maximize resources.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG026572-07
Application #
8379621
Study Section
Special Emphasis Panel (ZAG1-ZIJ-8)
Project Start
Project End
Budget Start
2012-09-01
Budget End
2013-08-31
Support Year
7
Fiscal Year
2012
Total Cost
$168,406
Indirect Cost
$65,720
Name
University of Southern California
Department
Type
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Mosconi, Lisa; Walters, Michelle; Sterling, Joanna et al. (2018) Lifestyle and vascular risk effects on MRI-based biomarkers of Alzheimer's disease: a cross-sectional study of middle-aged adults from the broader New York City area. BMJ Open 8:e019362
Moser, V Alexandra; Uchoa, Mariana F; Pike, Christian J (2018) TLR4 inhibitor TAK-242 attenuates the adverse neural effects of diet-induced obesity. J Neuroinflammation 15:306
Berkowitz, C L; Mosconi, L; Rahman, A et al. (2018) Clinical Application of APOE in Alzheimer's Prevention: A Precision Medicine Approach. J Prev Alzheimers Dis 5:245-252
Gahm, Jin Kyu; Shi, Yonggang; Alzheimer’s Disease Neuroimaging Initiative (2018) Riemannian metric optimization on surfaces (RMOS) for intrinsic brain mapping in the Laplace-Beltrami embedding space. Med Image Anal 46:189-201
Riedel, Brandalyn C; Daianu, Madelaine; Ver Steeg, Greg et al. (2018) Uncovering Biologically Coherent Peripheral Signatures of Health and Risk for Alzheimer's Disease in the Aging Brain. Front Aging Neurosci 10:390
Scheyer, O; Rahman, A; Hristov, H et al. (2018) Female Sex and Alzheimer's Risk: The Menopause Connection. J Prev Alzheimers Dis 5:225-230
Geifman, Nophar; Kennedy, Richard E; Schneider, Lon S et al. (2018) Data-driven identification of endophenotypes of Alzheimer's disease progression: implications for clinical trials and therapeutic interventions. Alzheimers Res Ther 10:4
Walters, Michelle J; Sterling, Joanna; Quinn, Crystal et al. (2018) Associations of lifestyle and vascular risk factors with Alzheimer's brain biomarker changes during middle age: a 3-year longitudinal study in the broader New York City area. BMJ Open 8:e023664
Mosconi, Lisa; Brinton, Roberta Diaz (2018) How would we combat menopause as an Alzheimer's risk factor? Expert Rev Neurother 18:689-691
Mosconi, Lisa; Berti, Valentina; Quinn, Crystal et al. (2017) Sex differences in Alzheimer risk: Brain imaging of endocrine vs chronologic aging. Neurology 89:1382-1390

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