The mission of our Perimenopause in Brain Aging and Alzheimer's Disease Program Project is to discover biological transformations in brain that occur during the perimenopausal transition that lead to endophenotypes predictive of risk for Alzheimer's disease (AD). Our goals are to identify the mechanisms by which these transformations occur and to translate these discoveries into strategies to prevent conversion to an at-Alzheimer's-risk phenotype. Each year ~1.5 million American women enter into the perimenopause, a neuroendocrine transition state unique to the female. AD has a protracted preclinical phase that suggests that events early in the aging process can initiate vulnerability t late onset AD. The greatest risk factors for Alzheimer's disease are age, the APOE4 genotype4 and female sex. The proposed program of research builds on our discovery of the perimenopausal bioenergetic transition in brain and its predictive association with cognitive decline in postmenopausal women to investigate the impact of the APOE4 allele on this uniquely female aging transition. We hypothesize that the APOE4 genotype represents the first of three strikes to increase the risk for AD, with aging being the second, and the perimenopausal bioenergetic transition being the third and final strike that initiates risk of developing an at-AD-risk endophenotype in women. We propose that the APOE4 allele accelerates and magnifies the perimenopausal bioenergetic crisis in brain to accelerate and amplify the risk of AD. An interdisciplinary team with deep and broad expertise in aging and AD have created an integrated set of three Projects, supported by three cores, that address common hypotheses and program-wide aims at basic, clinical and population levels of analysis.
Aim 1 : Mechanistic Discovery (Projects 1 & 2): Determine APOE4 genotype regulation of the perimenopausal bioenergetic, inflammatory and lipid metabolism transitions in brain and their association with Alzheimer's pathology. Determine modulatory factors that reduce or exacerbate the impact of APOE4 genotype.
Aim 2 : Clinical Translation (Project 3): Determine impact of perimenopause and the APOE4 genotype on brain metabolism, burden of Alzheimer's pathology, structural integrity and cognitive function in perimenopausal and postmenopausal women. Extend analyses of ELITE cohort (600 postmenopausal women) to determine impact of APOE4 genotype on metabolic cluster membership and longitudinal cognitive function.
Aim 3 : Global Population Translation (Project 3): Determine the impact of APOE4 genotype and menopause on the lifespan trajectories of 5000 women from 10,000+ MRI derived brain volume metrics, genetics and clinical data available through the ENIGMA network. ENIGMA data from 33,195 subjects (women and men) with MRIs and genome sequences will be investigated using a meta-regression model for the effect of age and APOE4 on brain atrophy. Outcomes of our research will provide insights into the mechanisms underlying the heightened risk of AD in APOE4 positive females and identify potential therapeutic targets and opportunities. Studies address NIA Strategic Goals A, C, D and E.

Public Health Relevance

The greatest risk factors for Alzheimer's disease are age, the APOE4 allele and female sex. Postmenopausal women constitute >60% of the affected Alzheimer population. Greater than 50% of persons with AD are positive for the APOE4 gene and women are at greater risk than men if positive for a single copy of the APOE4 gene. Our program of research will provide insights into the mechanisms underlying the heightened risk of AD in APOE4 positive females and identify potential therapeutic targets and opportunities to prevent or delay heightened risk of AD in women.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG026572-13
Application #
9532073
Study Section
Special Emphasis Panel (ZAG1)
Program Officer
Wise, Bradley C
Project Start
2006-08-15
Project End
2021-05-31
Budget Start
2018-07-01
Budget End
2019-05-31
Support Year
13
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Arizona
Department
Miscellaneous
Type
Organized Research Units
DUNS #
806345617
City
Tucson
State
AZ
Country
United States
Zip Code
85721
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; 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
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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