• Thu Ha Pham and Alain M Gardier.
• CESP/UMR-S 1178, Univ. Paris-Sud, Fac. Pharmacie, Inserm, Université Paris-Saclay, Chatenay-Malabry, 92290, France.
• Pharmacol. Ther. 2019 Jul 1; 199: 58-90.

AbstractKetamine, a non-competitive antagonist of N-methyl-D-aspartate (NMDA) receptor, displays a fast antidepressant activity in treatment-resistant depression and in rodent models of anxiety/depression. A large body of evidence concerning the cellular and molecular mechanisms underlying its fast antidepressant-like activity comes from animal studies. Although structural remodeling of frontocortical/hippocampal neurons has been proposed as critical, the role of excitatory/inhibitory neurotransmitters in this behavioral effect is unclear. Neurochemical and behavioral changes are maintained 24h after ketamine administration, well beyond its plasma elimination half-life. Thus, ketamine is believed to initiate a cascade of cellular mechanisms supporting its fast antidepressant-like activity. To date, the underlying mechanism involves glutamate release, then downstream activation of AMPA receptors, which trigger mammalian target of rapamycin (mTOR)-dependent structural plasticity via brain-derived neurotrophic factor (BDNF) and protein neo-synthesis in the medial prefrontal cortex (mPFC), a brain region strongly involved in ketamine therapeutic effects. However, these mPFC effects are not restricted to glutamatergic pyramidal cells, but extend to other neurotransmitters (GABA, serotonin), glial cells, and brain circuits (mPFC/dorsal raphe nucleus-DRN). It could be also mediated by one or several ketamine metabolites (e.g., (2R,6R)-HNK). The present review focuses on evidence for mPFC neurotransmission abnormalities in major depressive disorder (MDD) and their potential impact on neural circuits (mPFC/DRN). We will integrate these considerations with results from recent preclinical studies showing that ketamine, at antidepressant-relevant doses, induces neuronal adaptations that involve the glutamate-excitatory/GABA-inhibitory balance. Our analyses will help direct future studies to further elucidate the mechanism of action of fast-acting antidepressant drugs, and to inform development of novel, more efficacious therapeutics.Copyright © 2019 Elsevier Inc. All rights reserved.

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