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Updated: Dec 17, 2025

Author Spotlight: Exploring Sex-Specific Glial Signatures and Therapeutic Leads for Alzheimer's Disease
Published on: May 20, 2024
Sex-driven modifiers of Alzheimer risk: A multimodality brain imaging study
Aneela Rahman1, Eva Schelbaum1, Katherine Hoffman1
1From the Departments of Neurology (A.R., E.S., I.D., H.H., S.J., H.J., A.L., H.S., S.P., R.S.I., L.M.) and Radiology (J.D., M.J.d.L., L.M.), Weill Cornell Medical College; Division of Biostatistics and Epidemiology (K.H., I.D.), Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY; ADM Diagnostics (R.A., D.M.), Chicago, IL; and Departments of Pharmacology and Neurology (R.D.B.), College of Medicine, University of Arizona, Tucson.
Middle-aged women show increased Alzheimer
Area of Science:
- Neuroscience
- Biomarkers
- Alzheimer's Disease Research
Background:
- Late-onset Alzheimer's disease (AD) risk factors and sex differences are not fully understood.
- Investigating early-stage AD biomarkers in cognitively normal individuals is crucial for timely intervention.
- Multimodality brain imaging offers a comprehensive approach to assess AD pathology.
Purpose of the Study:
- To investigate sex differences in Alzheimer's disease (AD) risk using multimodality brain biomarkers.
- To compare β-amyloid load (PiB PET), glucose metabolism (FDG PET), and brain structure (MRI) between men and women.
- To identify sex-specific risk factors associated with AD biomarker differences in middle-aged adults.
Main Methods:
- 121 cognitively normal participants (85 women, 36 men, aged 40-65) underwent clinical, cognitive, and neuroimaging assessments.
- Assessed clinical, medical, hormonal, and lifestyle risk factors for AD.
- Utilized statistical parametric mapping and LASSO regression to analyze sex differences in AD biomarkers and risk factors.
Main Results:
- Women exhibited higher β-amyloid deposition, lower glucose metabolism, and reduced gray/white matter volumes than men.
- These sex differences in brain biomarkers remained significant after adjusting for confounders and age.
- Menopausal status, hormone therapy, hysterectomy, and thyroid disease were strongly associated with observed biomarker differences in women.
Conclusions:
- Hormonal factors, particularly menopause, predict the Alzheimer's disease endophenotype in middle-aged women.
- These findings highlight the importance of early intervention for AD prevention in women during endocrine aging.
- Sex-specific differences in AD biomarkers emerge in midlife, suggesting a critical window for preventive strategies.
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