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A Chronic Sleep Fragmentation Model using Vibrating Orbital Rotor to Induce Cognitive Deficit and Anxiety-Like Behavior in Young Wild-Type Mice

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单位: [a]Department of Neurology,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,430000,China [b]Key Laboratory of Neurological Diseases of Chinese Ministry of Education, The School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China [c]Department of Pharmacology, School of Basic Medical Science, State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, 200032, China
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DOI: 10.3791/61531
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Sleep disturbance is generally common in populations as a chronic disease or a complained event. Chronic sleep disturbance is proposed to be closely linked to the pathogenesis of diseases, especially neurodegenerative diseases. We recently found that 2 months of sleep fragmentation initiated Alzheimer's disease (AD)-like behavioral and pathological changes in young wild-type mice. Herein, we present a standardized protocol to achieve chronic sleep fragmentation (CSF). Briefly, CSF was induced by an orbital rotor vibrating at 110 rpm and operating with a repetitive cycle of 10 son, 110 s-off, during light-ON phase (8:00 AM-8:00 PM) continuously for up to 2 months. Impairments of spatial learning and memory, anxiety-like but not depressionlike behavior in mice as consequences of CSF modeling, were evaluated with Morris water maze (MWM), Novel object recognition (NOR), Open field test (OFT) and Forced swimming test (FST). In comparison with other sleep manipulations, this protocol minimizes the handling labors and maximizes the modeling efficiency. It produces stable phenotypes in young wild-type mice and can be potentially generated for a variety of research purposes.

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出版当年[2019]版:
大类 | 4 区 综合性期刊
小类 | 4 区 综合性期刊
最新[2025]版:
大类 | 4 区 综合性期刊
小类 | 4 区 综合性期刊
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出版当年[2018]版:
Q3 MULTIDISCIPLINARY SCIENCES
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Q3 MULTIDISCIPLINARY SCIENCES

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