# PhytoSERM Efficacy to Prevent Menopause Associated Decline in Brain Metabolism and Cognition: A Double-Blind, Randomized, Placebo-Controlled Phase 2 Clinical Trial > **NIH NIH R01** · UNIVERSITY OF ARIZONA · 2022 · $2,121,223 ## Abstract PROJECT SUMMARY/ABSTRACT Women are at greater life-time risk for Alzheimer’s disease (AD). One potential factor contributing to greater life- time risk of AD is the midlife menopausal endocrine aging transition when multiple AD risk conditions can emerge and which are consistent with prodromal / preclinical features of the disease. While estrogen or hormone therapy administered when menopausal women are symptomatic could reduce risk of AD, the fear of breast cancer leads many women to forego this approach. An innovative alternative to estrogen therapy is to target estrogen action in brain while avoiding estrogen-associated proliferation in breast tissue. To achieve that goal, we propose Phase 2 clinical development of “PhytoSERM”, a selective estrogen receptor beta (ERß) modulator that promotes estrogenic action through ERß in brain while inhibitory in reproductive tissue. PhytoSERM is a rationally designed formulation of 3 phytoestrogens (each are Generally Recognized as Safe by the FDA). Our earlier NIA supported PhytoSERM Phase 1b/2a clinical trial determined that PhytoSERM was safe and well-tolerated, exhibited predictive pharmacokinetics in peri- and postmenopausal women and identified responder phenotype (https://clinicaltrials.gov/ct2/show/NCT01723917). Proposed herein is a Phase 2, double-blind, randomized, placebo-controlled, parallel-group, clinical trial to determine efficacy of PhytoSERM in symptomatic peri- and post-menopausal women. Primary objectives are to determine safety and efficacy of PhytoSERM to sustain brain glucose metabolism as determined by 18F-FDG- PET because the menopausal transition is accompanied by reduction in cerebral metabolic rate of glucose, which correlates with menopausal symptoms and progression of AD biomarkers later in life. Secondary objectives will determine efficacy of PhytoSERM on: 1) cognitive function, 2) frequency and severity of vasomotor symptoms and 3) changes in sleep quality and mood symptoms. Tertiary objectives are to determine impact of PhytoSERM on exploratory MRI outcomes including 1) gray matter volume in AD-vulnerable regions, 2) white matter fiber integrity by diffusion tensor imaging, (3) intrinsic connectivity measured by resting state functional MRI, 4) cerebral blood flow determined by arterial spin labeling (ASL) and 5) blood-based biomarkers relevant to AD risk. The Phase 2 PhytoSERM clinical trial addresses multiple strategic directions of the National Institutes on Aging’s 2020-2025: Aging Well in the 21st Century ref Specifically, Goal C-3 to: “Develop effective interventions to maintain health, well-being, and function and prevent or reduce the burden of age-related diseases” and “Conduct clinical studies / translation of new interventions to the clinical setting.” Goal D-4: Translate basic discovery into effective treatment and/or prevention strategies for AD/ADRD and” Goal F-4: Support research on women’s health.” PhytoSERM clinical trial also contributes to achieving the N... ## Key facts - **NIH application ID:** 10344556 - **Project number:** 1R01AG075122-01 - **Recipient organization:** UNIVERSITY OF ARIZONA - **Principal Investigator:** ROBERTA EILEEN BRINTON - **Activity code:** R01 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2022 - **Award amount:** $2,121,223 - **Award type:** 1 - **Project period:** 2022-02-15 → 2027-01-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10344556 ## Citation > US National Institutes of Health, RePORTER application 10344556, PhytoSERM Efficacy to Prevent Menopause Associated Decline in Brain Metabolism and Cognition: A Double-Blind, Randomized, Placebo-Controlled Phase 2 Clinical Trial (1R01AG075122-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10344556. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*