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Reduction of Submissive Behavior Model for antidepressant drug activity testing: study using a video-tracking system
Albert Pinhasov1, Jeffrey Crooke, Daniel Rosenthal
1CNS Research Team, Johnson and Johnson Pharmaceutical Research and Development, L.L.C. Spring House, Pennsylvania 19477-0776, USA.
Behavioural Pharmacology
|November 16, 2005
Summary
Automated video tracking effectively measures antidepressant effects on rat submissive behavior. This validated method shows maprotiline, imipramine, and fluoxetine reduce submissiveness, unlike naltrindole, confirming test selectivity for antidepressant activity.
Area of Science:
- Neuroscience
- Animal Behavior
- Pharmacology
Background:
- Submissive behavior in rats can be quantified using observer-based scoring in the Reduction of Submissive Behavior Model.
- Previous studies demonstrated that antidepressant treatments selectively reduce submissive behavior.
Purpose of the Study:
- To validate the use of automated video-tracking for assessing antidepressant effects on rat submissive behavior.
- To extend previous findings to other antidepressant and non-antidepressant drugs.
Main Methods:
- A multiple-subject video-tracking system was employed to automate the scoring of submissive behavior in rats during food competition tests.
- Rats were treated with imipramine, fluoxetine, maprotiline, or naltrindole for five weeks.
- Automated scoring allowed for simultaneous observation of multiple rat pairs.
Main Results:
- Automated scoring confirmed previous findings with imipramine and fluoxetine, showing significant reductions in submissive behavior.
- Maprotiline demonstrated antidepressant-like effects, reducing submissive behavior similarly to imipramine and fluoxetine.
- Naltrindole, a delta-opioid antagonist, did not reduce submissive behavior, highlighting the test's selectivity.
Conclusions:
- Automated video tracking is a reliable and efficient method for quantifying antidepressant effects on rat submissive behavior.
- The Reduction of Submissive Behavior Model, when assessed via automated scoring, remains selective for antidepressant activity.
- These findings support the use of this model in preclinical antidepressant drug discovery.

