Ovariectomy attenuates phenotypes related to Alzheimer’s disease in a preclinical mouse model and in C57BL/6 J mice

Women are at higher risk for Alzheimer's disease (AD) than men and hormonal changes during perimenopause are considered a risk factor. The relationship between ovarian hormones and AD has been explored using AD animal models, especially through ovariectomy (OVX) in established AD models. The link between early-stage AD and ovarian hormones, however, remains unclear, largely due to the lack of suitable animal models. Appropriate models for studying early-stage AD pathology, treatment, and prevention are critically needed. The App knock-in mouse model, which carries a single amyloid precursor protein (App) gene mutation, effectively reproduces early amyloid AD pathology. To elucidate the relationship between ovarian hormone deficiency and the behavioral phenotypes of a preclinical AD model, we applied a comprehensive behavioral test battery to this mouse model with bilateral OVX. The App mutation reduced anxiety-like behavior and impaired performance in the fear memory task. OVX restored the anxiety-like behavior of the App mutation mice to a level comparable to that in wild-type (WT) mice. Furthermore, OVX enhanced performance in a fear memory task in both genotypes and reduced amyloid-β staining in WT mice. Together, these findings suggest that OVX attenuates AD-related phenotypes in a preclinical AD model and in C57BL/6 J WT mice.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-28
DOI
https://doi.org/10.1038/s41598-025-20006-9
Primary Topic
Menopause: Health Impacts and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ovariectomy attenuates phenotypes related to Alzheimer’s disease in a preclinical mouse model and in C57BL/6 J mice

Mayumi Adachi, Yumie Koshidaka, Takashi Saito, Kazuki Fujii et al.
Scientific Reports
Menopause: Health Impacts and Treatments
article

Ovariectomy attenuates phenotypes related to Alzheimer’s disease in a preclinical mouse model and in C57BL/6 J mice

Mayumi Adachi, Yumie Koshidaka, Takashi Saito, Kazuki Fujii, Takaomi C. Saido, Yuko Yanagibashi, Keizo Takao, Mina Matsuo, Kimihiro Kimura
article en

Abstract

Women are at higher risk for Alzheimer's disease (AD) than men and hormonal changes during perimenopause are considered a risk factor. The relationship between ovarian hormones and AD has been explored using AD animal models, especially through ovariectomy (OVX) in established AD models. The link between early-stage AD and ovarian hormones, however, remains unclear, largely due to the lack of suitable animal models. Appropriate models for studying early-stage AD pathology, treatment, and prevention are critically needed. The App knock-in mouse model, which carries a single amyloid precursor protein (App) gene mutation, effectively reproduces early amyloid AD pathology. To elucidate the relationship between ovarian hormone deficiency and the behavioral phenotypes of a preclinical AD model, we applied a comprehensive behavioral test battery to this mouse model with bilateral OVX. The App mutation reduced anxiety-like behavior and impaired performance in the fear memory task. OVX restored the anxiety-like behavior of the App mutation mice to a level comparable to that in wild-type (WT) mice. Furthermore, OVX enhanced performance in a fear memory task in both genotypes and reduced amyloid-β staining in WT mice. Together, these findings suggest that OVX attenuates AD-related phenotypes in a preclinical AD model and in C57BL/6 J WT mice.

Scientific ReportsVol. 15(1)
RIKEN Center for Brain Science (JP), Nagoya City University (JP), University of Toyama (JP)
Openalex Percentile: Top 57%
Menopause: Health Impacts and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.