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Identifying fast-onset antidepressants using rodent models.
1Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Molecular Psychiatry
|March 22, 2017
Summary
Developing fast-acting antidepressants is crucial for reducing suicide risk. This review assesses rodent models for predicting rapid antidepressant effects, evaluating treatments like ketamine and novel compounds.
Area of Science:
- Neuroscience
- Pharmacology
- Psychiatry
Background:
- Depression is a leading global cause of disability and suicide.
- Classical antidepressants have a 2-4 week delay in therapeutic effect, increasing suicide risk.
- Fast-onset antidepressants are critically needed.
Purpose of the Study:
- To review and assess the validity of rodent models for detecting antidepressant onset.
- To evaluate the efficacy of existing and novel compounds for fast-acting antidepressant effects.
Main Methods:
- Reviewed seven rodent models: olfactory bulbectomy, chronic mild stress, chronic forced swim test, novelty-induced hypophagia (NIH), novelty-suppressed feeding (NSF), social defeat stress, and learned helplessness.
- Examined effects of classical antidepressants and fast-acting clinical treatments (electroconvulsive shock therapy, sleep deprivation, ketamine, scopolamine, GLYX-13, pindolol).
- Discussed compounds with preclinical fast-onset antidepressant-like effects.
Main Results:
- Several rodent models are used to assess antidepressant onset, but few are thoroughly tested for predictive validity.
- Classical antidepressants show delayed effects, while treatments like ketamine and GLYX-13 demonstrate rapid antidepressant actions.
- Novel compounds targeting serotonin, NMDA, TREK-1, and mGluR receptors show promise for fast-onset antidepressant effects.
Conclusions:
- Rodent models are essential for preclinical identification of fast-onset antidepressants.
- Further validation of these models is needed to accurately predict therapeutic onset.
- Identifying and developing fast-acting antidepressants can significantly reduce the burden of depression and suicide risk.

