A Chronic Sleep Fragmentation Model using Vibrating Orbital Rotor to Induce Cognitive Deficit and Anxiety-Like Behavior in Young Wild-Type Mice
September 22nd, 2020
Presented here is a protocol for chronic sleep fragmentation (CSF) model achieved by an electrically controlled orbital rotor, which could induce confirmed cognitive deficit and anxiety-like behavior in young wild-type mice. This model can be applied to explore the pathogenesis of chronic sleep disturbance and related disorders.
Chronic sleep disturbance lead to neurodegenerative disease pathogenesis. We would like to provide a simple, stable, and long-term protocol to model frequent interruptions during human sleep to address this question. These mice minimizes handling labors and the artificial buyers.
It can standardized interventions among mice within the same experimental group and between different experiments to produce repeatable behavioral and the pathological outcomes. This model can be applied to a variety of disease models such as depression and the Alzheimer's disease to study the impacts of chronic sleep disturbance in the presence of an underlying disease. Begin by randomly assigning three to five 20 to 28 gram 8 to 10-week-old adult wild-type male mice to CSF modeling and control cages to avoid social isolation stress.
House both groups of cages in the same 21 to 23 degree Celsius and 35 to 60%humidity modeling room with a 12-hour light/dark cycle to maintain an identical surrounding environment. Then provide the mice with sufficient food and water using long nozzles with ball valve tips on the water bottles to prevent water leakage upon the platform movements and fastening the water bottles on top of each cage with a spring to avoid dislocation of the bottles during rotation. For chronic sleep fragmentation modeling, program an electrically controlled orbital rotor with a 67 by 110 centimeter platform to run during the 8:00 a.m.
to 8:00 p.m. light phase and use a solid state timer to set the rotor speed to 110 revolutions per minute for a repetitive 10 seconds on, 110 seconds off cycle. Use thick springs to fasten the CSF cages on top of the rotor platform to prevent dislocation of the cages upon platform rotation and confirm that the food and water access are maintained during the orbital rotations.
After setting up the model system, observe the cages for at least one hour to ensure that the orbital rotor is operating appropriately. During the modeling period, weigh the mice weekly at 8:00 a.m. when changing the bedding and remove any aggressors from the cages as necessary.
At the end of the modeling period, continue to house and feed the mice in the modeling room. To perform a Morris Water Maze test, between 8:00 a.m. and 12:00 p.m.
every day for five days, release one mouse at a time into a circular tank filled with 20 to 23 degree Celsius water in one of four quadrants for each trial. During the trial, use a video tracking system to record the escape latency of each mouse as it attempts to swim to the platform. If the mouse is unable to locate the platform within 60 seconds, guide the animal to the platform.
Allow it to remain on the platform for 15 seconds before returning it to its cage. On the sixth day after training, remove the platform from the water tank and release the mouse from the northeast quadrant for one final 60-second swim period per animal. After CSF modeling, no differences in the weights of mice between the control and experimental groups are observed.
The CSF group displays a reduced escapability in locating the platform over a period of five training days in the Morris Water Maze behavioral trial compared to the control animals. In the probe test, the CSF mice spent significantly less time proportionally in the targeted quadrant, crossing the previous platform location fewer times without an observable swimming speed difference. In the familiar phase of the novel object recognition test, there is no significant difference in the total exploration time between the CSF and control groups or in the exploration time between objects A1 and A2 in either group.
In the test phase, the discrimination index of the CSF mice is significantly reduced compared to that of the control animals. In these representative open field test and forced swimming test evaluations, the CSF group spent less time in the central zone during the test than did the control group. CSF mice also exhibited a longer total distance of movement within the tank, suggesting increased spontaneous activity after modeling.
Nevertheless, the CSF modeling did not induce depression-like behavior as verified by non-significant differences in the immobility time between the two groups subjected to forced swimming test. Selecting an appropriate vibrating cycle and modeling duration as well as a proper timeline for the CSF treatment and phenotype identification are important for the success of this experiment. Traditional sleep deprivation protocols require a great deal of work and the mostly for acute or short-term modeling.
This protocol allows the study of a pathological mechanism of mild but long lasting sleep disturbance.
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Overview
This article presents a protocol for a chronic sleep fragmentation (CSF) model using an electrically controlled orbital rotor. This model induces cognitive deficits and anxiety-like behavior in young wild-type mice, allowing for the exploration of chronic sleep disturbance and related disorders.
Key Study Components
Area of Science
- Neuroscience
- Behavioral studies
- Sleep research
Background
- Chronic sleep disturbances are linked to neurodegenerative diseases.
- The study aims to provide a stable protocol for modeling sleep interruptions.
- This model minimizes handling and standardizes interventions among experimental groups.
- It can be applied to various disease models, including depression and Alzheimer's disease.
Purpose of Study
- To model frequent interruptions during sleep in mice.
- To investigate the impacts of chronic sleep disturbance on behavior and pathology.
- To facilitate repeatable outcomes across different experiments.
Methods Used
- Random assignment of 20 to 28 gram, 8 to 10-week-old wild-type male mice.
- Use of CSF modeling and control cages to prevent social isolation stress.
- Application of an electrically controlled orbital rotor for sleep fragmentation.
- Behavioral assessments to evaluate cognitive deficits and anxiety-like behavior.
Main Results
- Confirmed cognitive deficits in mice subjected to chronic sleep fragmentation.
- Induction of anxiety-like behavior in the experimental group.
- Standardized outcomes across different experimental setups.
- Potential applications in studying chronic sleep disturbances in various disease contexts.
Conclusions
- The CSF model is effective for studying the effects of chronic sleep disturbance.
- This protocol can aid in understanding the pathogenesis of related disorders.
- Future research can leverage this model for various neurodegenerative diseases.
Frequently Asked Questions
Executive Industry Relevance
Chronic sleep fragmentation models enable mechanistic de-risking of neurodegenerative disease hypotheses by replicating human sleep disruption phenotypes in controlled preclinical systems. This approach supports target validation and biomarker discovery for Alzheimer's disease and related disorders by establishing causal links between sleep disturbance and cognitive decline. The standardized protocol enhances predictive confidence in early discovery by reducing biological variability and improving translational continuity.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Scientific Value: Interrogates therapeutic hypotheses linking sleep fragmentation to Alzheimer's disease pathogenesis through behavioral phenotyping.
- Operational Value: Enables functional target validation by inducing stable cognitive deficits and anxiety-like phenotypes in young wild-type mice.
- Predictive Value: Supports portfolio triage by modeling a mechanistically relevant risk factor for neurodegenerative disease progression.
Screening & Assay Development
- Scientific Value: Prepares disease-relevant systems for compound screening by establishing consistent baseline phenotypes across experimental groups.
- Operational Value: Standardizes assay conditions through automated orbital rotor control, minimizing handling labor and maximizing reproducibility.
- Scalability: Facilitates platform reuse across multiple studies by providing a stable, long-term model compatible with various behavioral endpoints.
Translational & Preclinical Research
- Scientific Value: Aligns with translational biomarker research by quantifying spatial learning deficits and anxiety-like responses as measurable outcomes.
- Operational Value: Ensures continuity from discovery through preclinical validation by maintaining identical environmental conditions for control and experimental groups.
- Risk Mitigation: Informs risk-adjusted advancement decisions by demonstrating dose-dependent behavioral changes without inducing depression-like confounders.
Pipeline & Workflow Integration
The chronic sleep fragmentation model integrates into the discovery continuum from hypothesis testing through lead identification to preclinical validation, supporting iterative refinement of therapeutic candidates targeting sleep-related pathophysiological pathways.
- Discovery Biology: Supports hypothesis testing by enabling interrogation of sleep disturbance as a modifiable risk factor in neurodegenerative disease models.
- Screening: Enhances assay readiness by producing stable, quantifiable behavioral phenotypes suitable for high-fidelity compound evaluation.
- Analytics: Generates quantitative dependent variable measurements including escape latency in Morris water maze, discrimination index in novel object recognition, and central zone occupancy in open field test.
- Translational Research: Connects to preclinical continuity by modeling chronic sleep effects relevant to human disease progression without acute stress artifacts.
- Enterprise Reuse: Functions as a reusable capability across neuroscience and sleep research programs due to its standardized, low-labor design.
Operational & Enterprise Impact
- Scientific Value: Provides predictive confidence in target validation by reducing mechanistic ambiguity in sleep-neurodegeneration relationships.
- Operational Value: Delivers standardization and reproducibility through automated vibration cycles and environmental controls.
- Strategic Value: Improves go/no-go decisions by enabling early detection of cognitive and anxiety-like phenotypes indicative of pathological risk.
- Portfolio Impact: Supports risk-adjusted prioritization by identifying compounds that mitigate sleep fragmentation-induced behavioral deficits.
Implementation Considerations
- Requires expertise in behavioral neuroscience and sleep physiology to interpret phenotype specificity.
- Needs instrumentation including an electrically controlled orbital rotor with programmable timing and vibration isolation.
- Demands cross-team standardization of housing conditions, feeding protocols, and behavioral testing schedules.
- Involves adaptation considerations when applying the model to different strains, sexes, or comorbid disease models.
- Includes practical limitations such as the need for long-term monitoring to distinguish chronic effects from acute stress responses.
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Chapters in this video
0:04
Introduction
1:06
Mouse Screening Preparation
1:58
Chronic Sleep Fragmentation (CSF) Modeling
3:04
Morris Water Maze (MWM) Test
4:00
Results: Representative Effects of CSF Modeling on Young Wild-Type Mouse Cognitive Abilities and Anxiety-Like Behaviors
5:34
Conclusion
