Sign in
NeuroscienceHuman Brain Mapping
Peer-reviewed journal article

Women's brain aging: effects of sex-hormone exposure, pregnancies, and genetic risk for Alzheimer's disease

Ann‐Marie G. de LangeiD, Cláudia BarthiD, Tobias KaufmanniD, Ivan I. MaximoviD, Dennis van der MeeriD, Ingrid AgartziD, Lars Tjelta WestlyeiD

Abstract

Sex hormones such as estrogen fluctuate across the female lifespan, with high levels during reproductive years and natural decline during the transition to menopause. Womens exposure to estrogen may influence their heightened risk of Alzheimers disease (AD) relative to men, but little is known about how it affects normal brain aging. Recent findings from the UK Biobank demonstrate less apparent brain aging in women with a history of multiple childbirths, highlighting a potential link between sex-hormone exposure and brain aging. We investigated endogenous and exogenous sex-hormone exposure, genetic risk for AD, and neuroimaging-derived biomarkers for brain aging in 16,854 middle to older-aged women. The results showed that as opposed to parity, higher cumulative sex-hormone exposure was associated with more evident brain aging, indicating that i) high levels of cumulative exposure to sex-hormones may have adverse effects on the brain, and ii) beneficial effects of pregnancies on the female brain are not solely attributable to modulations in sex-hormone exposure. In addition, for women using hormonal replacement therapy (HRT), starting treatment earlier was associated with less evident brain aging, but only in women with a genetic risk for AD. Genetic factors may thus contribute to how timing of HRT initiation influences womens brain aging trajectories.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
102
FWCI
9.62
Field percentile
top 1%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISNabulsi '20Richard '26Costantino '22Fortel '23Li '22Barber '24
75% semantic matchNeuroscience
Leila Nabulsi, Katherine E. Lawrence, Vigneshwaran Santhalingam+10 more·International Symposium on Medical Information Processing and Analysis (SIPAIM)·Nov 3, 2020· 8 citations