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      Rapid-acting antidepressants and the circadian clock

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          Abstract

          A growing number of epidemiological and experimental studies has established that circadian disruption is strongly associated with psychiatric disorders, including major depressive disorder (MDD). This association is becoming increasingly relevant considering that modern lifestyles, social zeitgebers (time cues) and genetic variants contribute to disrupting circadian rhythms that may lead to psychiatric disorders. Circadian abnormalities associated with MDD include dysregulated rhythms of sleep, temperature, hormonal secretions, and mood which are modulated by the molecular clock. Rapid-acting antidepressants such as subanesthetic ketamine and sleep deprivation therapy can improve symptoms within 24 h in a subset of depressed patients, in striking contrast to conventional treatments, which generally require weeks for a full clinical response. Importantly, animal data show that sleep deprivation and ketamine have overlapping effects on clock gene expression. Furthermore, emerging data implicate the circadian system as a critical component involved in rapid antidepressant responses via several intracellular signaling pathways such as GSK3β, mTOR, MAPK, and NOTCH to initiate synaptic plasticity. Future research on the relationship between depression and the circadian clock may contribute to the development of novel therapeutic strategies for depression-like symptoms. In this review we summarize recent evidence describing: (1) how the circadian clock is implicated in depression, (2) how clock genes may contribute to fast-acting antidepressants, and (3) the mechanistic links between the clock genes driving circadian rhythms and neuroplasticity.

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          Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

          Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association (GWA) meta-analysis based in 135,458 cases and 344,901 control, We identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression, and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relations of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine and define the basis of major depression and imply a continuous measure of risk underlies the clinical phenotype.
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            Sleep and the price of plasticity: from synaptic and cellular homeostasis to memory consolidation and integration.

            Sleep is universal, tightly regulated, and its loss impairs cognition. But why does the brain need to disconnect from the environment for hours every day? The synaptic homeostasis hypothesis (SHY) proposes that sleep is the price the brain pays for plasticity. During a waking episode, learning statistical regularities about the current environment requires strengthening connections throughout the brain. This increases cellular needs for energy and supplies, decreases signal-to-noise ratios, and saturates learning. During sleep, spontaneous activity renormalizes net synaptic strength and restores cellular homeostasis. Activity-dependent down-selection of synapses can also explain the benefits of sleep on memory acquisition, consolidation, and integration. This happens through the offline, comprehensive sampling of statistical regularities incorporated in neuronal circuits over a lifetime. This Perspective considers the rationale and evidence for SHY and points to open issues related to sleep and plasticity. Copyright © 2014 Elsevier Inc. All rights reserved.
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              NMDA Receptor Blockade at Rest Triggers Rapid Behavioural Antidepressant Responses

              Clinical studies consistently demonstrate that a single sub-psychomimetic dose of ketamine, an ionotropic glutamatergic n-methyl-d-aspartate receptor (NMDAR) antagonist, produces fast-acting antidepressant responses in patients suffering from major depressive disorder (MDD), although the underlying mechanism is unclear 1-3 . Depressed patients report alleviation of MDD symptoms within two hours of a single low-dose intravenous infusion of ketamine with effects lasting up to two weeks 1-3 , unlike traditional antidepressants (i.e. serotonin reuptake inhibitors), which take weeks to reach efficacy. This delay is a major drawback to current MDD therapies, leaving a need for faster acting antidepressants particularly for suicide-risk patients 3 . Ketamine's ability to produce rapidly acting, long-lasting antidepressant responses in depressed patients provides a unique opportunity to investigate underlying cellular mechanisms. We show that ketamine and other NMDAR antagonists produce fast-acting behavioural antidepressant-like effects in mouse models that depend on rapid synthesis of brain-derived neurotrophic factor (BDNF). We find that ketamine-mediated NMDAR blockade at rest deactivates eukaryotic elongation factor 2 (eEF2) kinase (also called CaMKIII) resulting in reduced eEF2 phosphorylation and desuppression of BDNF translation. Furthermore, we find inhibitors of eEF2 kinase induce fast-acting behavioural antidepressant-like effects. Our findings suggest that protein synthesis regulation by spontaneous neurotransmission may serve as a viable therapeutic target for fast-acting antidepressant development.
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                Author and article information

                Contributors
                drorozcos@inmegen.gob.mx
                Journal
                Neuropsychopharmacology
                Neuropsychopharmacology
                Neuropsychopharmacology
                Springer International Publishing (Cham )
                0893-133X
                1740-634X
                27 November 2021
                : 1-12
                Affiliations
                [1 ]GRID grid.264756.4, ISNI 0000 0004 4687 2082, Center for Biological Clocks Research, Department of Biology, , Texas A&M University, ; College Station, TX USA
                [2 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, Center for Epigenetics and Metabolism, INSERM U1223, Department of Biological Chemistry, , University of California Irvine, ; Irvine, CA USA
                [3 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, Department of Psychiatry & Human Behavior, School of Medicine, , University of California, ; Irvine, CA USA
                [4 ]GRID grid.9486.3, ISNI 0000 0001 2159 0001, Instituto de Investigaciones Biomédicas, , Universidad Nacional Autónoma de México UNAM, ; México City, México
                [5 ]GRID grid.452651.1, ISNI 0000 0004 0627 7633, Instituto Nacional de Medicina Genómica INMEGEN, ; México City, México
                [6 ]GRID grid.266093.8, ISNI 0000 0001 0668 7243, Center for Epigenetics and Metabolism, INSERM U1223, Department of Microbiology and Molecular Genetics, , University of California, ; Irvine, CA USA
                Author information
                http://orcid.org/0000-0002-1813-2541
                http://orcid.org/0000-0003-1494-7281
                Article
                1241
                10.1038/s41386-021-01241-w
                8626287
                34837078
                1b362e56-6770-493f-b55b-60a112b6bc67
                © The Author(s), under exclusive licence to American College of Neuropsychopharmacology 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 29 May 2021
                : 20 September 2021
                : 8 November 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000874, Brain and Behavior Research Foundation (Brain & Behavior Research Foundation);
                Award ID: 28681
                Award Recipient :
                Funded by: Della Martin Foundation, Brain & Behavioral Research Foundation (NARSAD Young Investigator Grant, 28681)
                Funded by: CONACYT (740445, 27048), DGAPA-UNAM and a L’Oréal-UNESCO-Mexican Academy of Sciences (AMC)
                Funded by: CONACYT grants FC 2016/2672 and FOSISS 272757 and the INMEGEN (09/2017/I),
                Categories
                Review Article

                Pharmacology & Pharmaceutical medicine
                neuroscience,circadian rhythms and sleep
                Pharmacology & Pharmaceutical medicine
                neuroscience, circadian rhythms and sleep

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