Back

ERβ mediates sex-specific protection in the App-NL-G-F mouse model of Alzheimer's disease

Demetriou, A.; Lindqvist, B.; Ali, H. G.; Shamekh, M. M.; Maioli, S.; Inzunza, J.; Varshney, M.; Nalvarte, I.

2024-07-23 neuroscience
10.1101/2024.07.22.604543 bioRxiv
Show abstract

Menopausal loss of neuroprotective estrogen is thought to contribute to the sex differences in Alzheimers disease (AD). Activation of estrogen receptor beta (ER{beta}) can be clinically relevant since it avoids the negative systemic effects of ER activation. However, very few studies have explored ER{beta}-mediated neuroprotection in AD, and no information on its contribution to the sex differences in AD exists. In the present study we specifically explored the role of ER{beta} in mediating sex-specific protection against AD pathology in the clinically relevant AppNL-G-F knock-in mouse model of amyloidosis, and if surgical menopause (ovariectomy) modulates pathology in this model. We treated male and female AppNL-G-F mice with the selective ER{beta} agonist LY500307 and subset of the females was ovariectomized prior to treatment. Memory performance was assessed and a battery of biochemical assays were used to evaluate amyloid pathology and neuroinflammation. Primary microglial cultures from male and female wild-type and ER{beta}-knockout mice were used to assess ER{beta}s effect on microglial activation and phagocytosis. We find that ER{beta} activation protects against amyloid pathology and cognitive decline in male and female AppNL-G-F mice. Ovariectomy increased soluble amyloid beta (A{beta}) in cortex and insoluble A{beta} in hippocampus, but had otherwise limited effects on pathology. We further identify that ER{beta} does not alter APP processing, but rather exerts its protection through amyloid scavenging that at least in part is mediated via microglia in a sex-specific manner. Combined, we provide new understanding to the sex differences in AD by demonstrating that ER{beta} protects against AD pathology differently in males and females, warranting reassessment of ER{beta} in combating AD.

Matching journals

The top 13 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.