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Repeated testing modulates chronic unpredictable mild stress effects in male rats
Kari Bosch1, Giulia Sbrini2, Irene Burattini2
1Department of Cognitive Neuroscience, Radboud University Medical Center, 6525 EN Nijmegen, the Netherlands.
Behavioural Brain Research
|June 13, 2022
Summary
Chronic unpredictable mild stress (CUMS) impacts rodent behavior, with some depression-like effects persisting long-term. Recovery time and repeated testing influence these outcomes, crucial for future study designs.
Area of Science:
- Neuroscience
- Behavioral Science
- Psychiatry
Background:
- Depression is a common and disabling mental health condition.
- Chronic unpredictable mild stress (CUMS) is a widely used rodent model for studying depression.
- The long-term effects of CUMS and the impact of repeated behavioral testing are not well understood.
Purpose of the Study:
- To investigate the lasting effects of CUMS on depressive-like behaviors in rats.
- To assess the influence of recovery periods and repeated testing on these behaviors.
- To understand how different components of CUMS-induced behavior are affected by time and testing.
Main Methods:
- Rats were subjected to chronic unpredictable mild stress (CUMS).
- Behavioral assessments were conducted acutely after stress cessation and after a four-week recovery period.
- The effects of single versus repeated testing were evaluated.
Main Results:
- CUMS acutely disrupted circadian locomotor rhythm and reduced sucrose preference.
- Circadian rhythm disruptions persisted for four weeks post-CUMS, irrespective of testing frequency.
- Sucrose preference deficits resolved within four weeks.
- Rats tested once after recovery showed reduced anxiety-like behavior compared to controls and repeatedly tested CUMS rats.
Conclusions:
- Different CUMS-induced depressive-like behaviors exhibit varied persistence over time.
- Repeated testing can influence behavioral outcomes, particularly anxiety-like behaviors.
- Study designs must carefully consider recovery duration and testing paradigms in CUMS models.

