Immunotherapy with Aducanumab Restores Calcium Homeostasis in Tg2576 Mice

Aducanumab 免疫疗法可恢复 Tg2576 小鼠的钙稳态

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作者:Ksenia V Kastanenka, Thierry Bussiere, Naomi Shakerdge, Fang Qian, Paul H Weinreb, Ken Rhodes, Brian J Bacskai

Abstract

Calcium homeostasis plays a major role in maintaining neuronal function under physiological conditions. Amyloid-β (Aβ) initiates pathological processes that include disruption in intracellular calcium levels, so amelioration of the calcium alteration could serve as an indirect functional indicator of treatment efficacy. Therefore, calcium dynamics were used as a measure of functional outcome. We evaluated the effects of the anti-Aβ antibody aducanumab on calcium homeostasis and plaque clearance in aged Tg2576 mice with in vivo multiphoton imaging. Acute topical application of aducanumab to the brain resulted in clearance of amyloid plaques. Although chronic systemic administration of aducanumab in 22-month-old mice did not clear existing plaques, calcium overload was ameliorated over time. Therefore, this antibody likely restores neuronal network function that possibly underlies cognitive deficits, indicating promise as a clinical treatment. In addition, functional readouts such as calcium overload may be a more useful outcome measure to monitor treatment efficacy in models of Alzheimer's disease compared with amyloid burden alone. Significance statement: Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is currently without a cure. Aducanumab is an anti-amyloid-β antibody being developed for the treatment of AD. Interim analyses of a phase 1b clinical trial have suggested potential beneficial effects on amyloid pathology and cognitive status in patients treated with aducanumab (Sevigny et al., 2016). Here, we show that a murine analog of aducanumab clears amyloid plaques in an acute setting and restores calcium homeostasis disrupted in a mouse model of AD upon chronic treatment. Therefore, we demonstrate that aducanumab reverses a functional outcome measure reflective of neural network activity.

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