| Description: |
BackgroundThe apolipoprotein E (APOE) gene represents the strongest genetic determinant of sporadic Alzheimer’s disease (AD), yet its interaction with sex-specific endocrine factors remains poorly understood. Lifetime estrogen exposure, estimated through reproductive lifespan, may modulate neurodegenerative risk, but findings are inconsistent. Previous studies have examined reproductive factors and APOE interactions in relation to cognitive outcomes, but dose-dependent effects across all APOE alleles (ε2, ε3, ε4) in clinically diagnosed AD patients remain underexplored. This study investigates the joint effects of reproductive lifespan, age at natural menopause (ANM), and APOE genotype on AD risk in females.MethodsA total of 396 female participants (103 with AD, 293 cognitively healthy controls) were retrospectively analyzed. Demographic, clinical, and reproductive data were extracted from medical records. APOE genotyping was performed by sequencing rs429358 and rs7412 polymorphisms. Logistic regression models tested associations between ANM, reproductive lifespan, and AD diagnosis, adjusting for education, body mass index (BMI), smoking, diabetes, hypertension, and number of children. Moderation analyses assessed the interaction between reproductive variables and APOE ε2, ε3, and ε4 alleles, and were followed by simple slope analyses to clarify the direction of significant effects.ResultsAD females exhibited later ANM (50.3 ± 4.4 vs. 48.3 ± 6.2 years; p = 0.004) and longer reproductive lifespan (37.4 ± 4.4 vs. 35.4 ± 6.0 years; p = 0.005) than controls. Both ANM and reproductive lifespan independently predicted higher AD risk (adjusted OR = 1.07, 95% CI = 1.02–1.12, p < 0.01). These effects were amplified by APOE ε4 and attenuated by ε3, while ε2 showed no influence. Simple slope analyses confirmed an allele-specific gradient, with the association between later menopause and AD risk steepest in ε4 carriers and absent in high ε3 carriers.ConclusionThis work provides novel evidence that extended ovarian ... |