201
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Akil H, Gordon J, Hen R, Javitch J, Mayberg H, McEwen B, Meaney MJ, Nestler EJ. Treatment resistant depression: A multi-scale, systems biology approach. Neurosci Biobehav Rev 2018; 84:272-288. [PMID: 28859997 PMCID: PMC5729118 DOI: 10.1016/j.neubiorev.2017.08.019] [Citation(s) in RCA: 251] [Impact Index Per Article: 41.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 07/21/2017] [Accepted: 08/26/2017] [Indexed: 01/10/2023]
Abstract
An estimated 50% of depressed patients are inadequately treated by available interventions. Even with an eventual recovery, many patients require a trial and error approach, as there are no reliable guidelines to match patients to optimal treatments and many patients develop treatment resistance over time. This situation derives from the heterogeneity of depression and the lack of biomarkers for stratification by distinct depression subtypes. There is thus a dire need for novel therapies. To address these known challenges, we propose a multi-scale framework for fundamental research on depression, aimed at identifying the brain circuits that are dysfunctional in several animal models of depression as well the changes in gene expression that are associated with these models. When combined with human genetic and imaging studies, our preclinical studies are starting to identify candidate circuits and molecules that are altered both in models of disease and in patient populations. Targeting these circuits and mechanisms can lead to novel generations of antidepressants tailored to specific patient populations with distinctive types of molecular and circuit dysfunction.
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Affiliation(s)
- Huda Akil
- Depression Task Force, Hope for Depression Research Foundation, New York, NY 10019, United States; University of Michigan, United States
| | - Joshua Gordon
- Depression Task Force, Hope for Depression Research Foundation, New York, NY 10019, United States; Columbia University, United States; New York State Psychiatric Institute, United States
| | - Rene Hen
- Depression Task Force, Hope for Depression Research Foundation, New York, NY 10019, United States; Columbia University, United States; New York State Psychiatric Institute, United States
| | - Jonathan Javitch
- Depression Task Force, Hope for Depression Research Foundation, New York, NY 10019, United States; Columbia University, United States; New York State Psychiatric Institute, United States
| | - Helen Mayberg
- Depression Task Force, Hope for Depression Research Foundation, New York, NY 10019, United States; Emory University, United States
| | - Bruce McEwen
- Depression Task Force, Hope for Depression Research Foundation, New York, NY 10019, United States; Rockefeller University, United States
| | - Michael J Meaney
- Depression Task Force, Hope for Depression Research Foundation, New York, NY 10019, United States; McGill University, United States; Singapore Institute for Clinical Science, Singapore
| | - Eric J Nestler
- Depression Task Force, Hope for Depression Research Foundation, New York, NY 10019, United States; Icahn School of Medicine at Mount Sinai, United States.
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202
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Abstract
Studies of the mammalian nervous system have revealed widespread epigenetic regulation underlying gene expression intrinsic to basic neurobiological function as well as neurological disease. Over the past decade, a critical role has emerged for the neural regulation of chromatin-modifying enzymes during both development and adulthood, and in response to external stimuli. These biochemical data are complemented by numerous next generation sequencing (NGS) studies that quantify the extent of chromatin and DNA modifications in neurons. Neuroepigenetic editing tools can be applied to distinguish between the mere presence and functional relevance of such modifications to neural transcription and animal behavior. This review discusses current advances in neuroepigenetic editing, highlighting methodological considerations pertinent to neuroscience, such as delivery methods and the spatiotemporal specificity of editing. Although neuroepigenetic editing is a nascent field, the studies presented in this review demonstrate the enormous potential of this approach for basic neurobiological research and therapeutic application.
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Affiliation(s)
- Peter J Hamilton
- The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Carissa J Lim
- Department of Pharmacology, The University of Pennsylvania, Philadelphia, PA, USA
| | - Eric J Nestler
- The Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, NY, New York, USA
| | - Elizabeth A Heller
- Department of Pharmacology, The University of Pennsylvania, Philadelphia, PA, USA. .,Penn Epigenetics Institute, The University of Pennsylvania, Philadelphia, PA, USA.
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203
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Herzog DP, Beckmann H, Lieb K, Ryu S, Müller MB. Understanding and Predicting Antidepressant Response: Using Animal Models to Move Toward Precision Psychiatry. Front Psychiatry 2018; 9:512. [PMID: 30405454 PMCID: PMC6204461 DOI: 10.3389/fpsyt.2018.00512] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Accepted: 09/28/2018] [Indexed: 12/16/2022] Open
Abstract
There are two important gaps of knowledge in depression treatment, namely the lack of biomarkers predicting response to antidepressants and the limited knowledge of the molecular mechanisms underlying clinical improvement. However, individually tailored treatment strategies and individualized prescription are greatly needed given the huge socio-economic burden of depression, the latency until clinical improvement can be observed and the response variability to a particular compound. Still, individual patient-level antidepressant treatment outcomes are highly unpredictable. In contrast to other therapeutic areas and despite tremendous efforts during the past years, the genomics era so far has failed to provide biological or genetic predictors of clinical utility for routine use in depression treatment. Specifically, we suggest to (1) shift the focus from the group patterns to individual outcomes, (2) use dimensional classifications such as Research Domain Criteria, and (3) envision better planning and improved connections between pre-clinical and clinical studies within translational research units. In contrast to studies in patients, animal models enable both searches for peripheral biosignatures predicting treatment response and in depth-analyses of the neurobiological pathways shaping individual antidepressant response in the brain. While there is a considerable number of animal models available aiming at mimicking disease-like conditions such as those seen in depressive disorder, only a limited number of preclinical or truly translational investigations is dedicated to the issue of heterogeneity seen in response to antidepressant treatment. In this mini-review, we provide an overview on the current state of knowledge and propose a framework for successful translational studies into antidepressant treatment response.
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Affiliation(s)
- David P Herzog
- Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany.,Focus Program Translational Neurosciences, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
| | - Holger Beckmann
- Focus Program Translational Neurosciences, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany.,German Resilience Center, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
| | - Klaus Lieb
- Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany.,Focus Program Translational Neurosciences, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
| | - Soojin Ryu
- Focus Program Translational Neurosciences, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany.,German Resilience Center, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
| | - Marianne B Müller
- Department of Psychiatry and Psychotherapy, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany.,Focus Program Translational Neurosciences, Johannes Gutenberg University Medical Center Mainz, Mainz, Germany
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204
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Bai S, Zhang X, Chen Z, Wang W, Hu Q, Liang Z, Shen P, Gui S, Zeng L, Liu Z, Chen J, Xie X, Huang H, Han Y, Wang H, Xie P. Insight into the metabolic mechanism of Diterpene Ginkgolides on antidepressant effects for attenuating behavioural deficits compared with venlafaxine. Sci Rep 2017; 7:9591. [PMID: 28852120 PMCID: PMC5575021 DOI: 10.1038/s41598-017-10391-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Accepted: 08/09/2017] [Indexed: 02/05/2023] Open
Abstract
Depression is a severe and chronic mental disorder, affecting about 322 million individuals worldwide. A recent study showed that diterpene ginkgolides (DG) have antidepressant-like effects on baseline behaviours in mice. Here, we examined the effects of DG and venlafaxine (VLX) in a chronic social defeat stress model of depression. Both DG and VLX attenuated stress-induced social deficits, despair behaviour and exploratory behaviour. To elucidate the metabolic changes underlying the antidepressive effects of DG and VLX, we investigated candidate functional pathways in the prefrontal cortex using a GC-MS-based metabolomics approach. Metabolic functions and pathways analysis revealed that DG and VLX affect protein biosynthesis and nucleotide metabolism to enhance cell proliferation, with DG having a weaker impact than VLX. Glutamate and aspartate metabolism played important roles in the antidepressant effects of DG and VLX. Tyrosine degradation and cell-to-cell signaling and interaction helped discriminate the two antidepressants. L-glutamic acid was negatively correlated, while hypoxanthine was positively correlated, with the social interaction ratio. Understanding the metabolic changes produced by DG and VLX should provide insight into the mechanisms of action of these drugs and aid in the development of novel therapies for depression.
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Affiliation(s)
- Shunjie Bai
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
- Key Laboratory of Laboratory Medical Diagnostics of Education, Department of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Xiaodong Zhang
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhi Chen
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
- Key Laboratory of Laboratory Medical Diagnostics of Education, Department of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Wei Wang
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
| | - Qingchuan Hu
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
- Key Laboratory of Laboratory Medical Diagnostics of Education, Department of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Zihong Liang
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
- Department of Neurology, The Inner Mongolia Autonomous Region people's Hospital, Hohhot, Inner Mongolia, China
| | - Peng Shen
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Siwen Gui
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
| | - Li Zeng
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhao Liu
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jianjun Chen
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
| | - Xiongfei Xie
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Huang
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
- Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yu Han
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Haiyang Wang
- Chongqing Key Laboratory of Neurobiology, Chongqing, China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China
| | - Peng Xie
- Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, China.
- Chongqing Key Laboratory of Neurobiology, Chongqing, China.
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing, China.
- Key Laboratory of Laboratory Medical Diagnostics of Education, Department of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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205
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Labonté B, Engmann O, Purushothaman I, Menard C, Wang J, Tan C, Scarpa JR, Moy G, Loh YHE, Cahill M, Lorsch ZS, Hamilton PJ, Calipari ES, Hodes GE, Issler O, Kronman H, Pfau M, Obradovic ALJ, Dong Y, Neve RL, Russo S, Kazarskis A, Tamminga C, Mechawar N, Turecki G, Zhang B, Shen L, Nestler EJ. Sex-specific transcriptional signatures in human depression. Nat Med 2017; 23:1102-1111. [PMID: 28825715 DOI: 10.1038/nm.4386] [Citation(s) in RCA: 465] [Impact Index Per Article: 66.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 07/17/2017] [Indexed: 02/08/2023]
Abstract
Major depressive disorder (MDD) is a leading cause of disease burden worldwide. While the incidence, symptoms and treatment of MDD all point toward major sex differences, the molecular mechanisms underlying this sexual dimorphism remain largely unknown. Here, combining differential expression and gene coexpression network analyses, we provide a comprehensive characterization of male and female transcriptional profiles associated with MDD across six brain regions. We overlap our human profiles with those from a mouse model, chronic variable stress, and capitalize on converging pathways to define molecular and physiological mechanisms underlying the expression of stress susceptibility in males and females. Our results show a major rearrangement of transcriptional patterns in MDD, with limited overlap between males and females, an effect seen in both depressed humans and stressed mice. We identify key regulators of sex-specific gene networks underlying MDD and confirm their sex-specific impact as mediators of stress susceptibility. For example, downregulation of the female-specific hub gene Dusp6 in mouse prefrontal cortex mimicked stress susceptibility in females, but not males, by increasing ERK signaling and pyramidal neuron excitability. Such Dusp6 downregulation also recapitulated the transcriptional remodeling that occurs in prefrontal cortex of depressed females. Together our findings reveal marked sexual dimorphism at the transcriptional level in MDD and highlight the importance of studying sex-specific treatments for this disorder.
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Affiliation(s)
- Benoit Labonté
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Olivia Engmann
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Immanuel Purushothaman
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Caroline Menard
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Junshi Wang
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Chunfeng Tan
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Joseph R Scarpa
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Gregory Moy
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Yong-Hwee E Loh
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Michael Cahill
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Zachary S Lorsch
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Peter J Hamilton
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Erin S Calipari
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Georgia E Hodes
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Orna Issler
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Hope Kronman
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Madeline Pfau
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Aleksandar L J Obradovic
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Yan Dong
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Rachael L Neve
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Scott Russo
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Andrew Kazarskis
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Carol Tamminga
- Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Naguib Mechawar
- Department of Psychiatry, McGill University, Montreal, Québec, Canada.,McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, Québec, Canada
| | - Gustavo Turecki
- Department of Psychiatry, McGill University, Montreal, Québec, Canada.,McGill Group for Suicide Studies, Douglas Mental Health University Institute, McGill University, Montreal, Québec, Canada
| | - Bin Zhang
- Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Li Shen
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Eric J Nestler
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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206
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Hervé M, Bergon A, Le Guisquet AM, Leman S, Consoloni JL, Fernandez-Nunez N, Lefebvre MN, El-Hage W, Belzeaux R, Belzung C, Ibrahim EC. Translational Identification of Transcriptional Signatures of Major Depression and Antidepressant Response. Front Mol Neurosci 2017; 10:248. [PMID: 28848385 PMCID: PMC5550836 DOI: 10.3389/fnmol.2017.00248] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 07/24/2017] [Indexed: 12/12/2022] Open
Abstract
Major depressive disorder (MDD) is a highly prevalent mental illness whose therapy management remains uncertain, with more than 20% of patients who do not achieve response to antidepressants. Therefore, identification of reliable biomarkers to predict response to treatment will greatly improve MDD patient medical care. Due to the inaccessibility and lack of brain tissues from living MDD patients to study depression, researches using animal models have been useful in improving sensitivity and specificity of identifying biomarkers. In the current study, we used the unpredictable chronic mild stress (UCMS) model and correlated stress-induced depressive-like behavior (n = 8 unstressed vs. 8 stressed mice) as well as the fluoxetine-induced recovery (n = 8 stressed and fluoxetine-treated mice vs. 8 unstressed and fluoxetine-treated mice) with transcriptional signatures obtained by genome-wide microarray profiling from whole blood, dentate gyrus (DG), and the anterior cingulate cortex (ACC). Hierarchical clustering and rank-rank hypergeometric overlap (RRHO) procedures allowed us to identify gene transcripts with variations that correlate with behavioral profiles. As a translational validation, some of those transcripts were assayed by RT-qPCR with blood samples from 10 severe major depressive episode (MDE) patients and 10 healthy controls over the course of 30 weeks and four visits. Repeated-measures ANOVAs revealed candidate trait biomarkers (ARHGEF1, CMAS, IGHMBP2, PABPN1 and TBC1D10C), whereas univariate linear regression analyses uncovered candidates state biomarkers (CENPO, FUS and NUBP1), as well as prediction biomarkers predictive of antidepressant response (CENPO, NUBP1). These data suggest that such a translational approach may offer new leads for clinically valid panels of biomarkers for MDD.
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Affiliation(s)
- Mylène Hervé
- Aix Marseille Univ, CNRS, CRN2M UMR 7286Marseille, France.,FondaMental, Fondation de Recherche et de Soins en Santé MentaleCréteil, France
| | - Aurélie Bergon
- Aix Marseille Univ, INSERM, TAGC UMR_S 1090Marseille, France
| | | | - Samuel Leman
- INSERM U930 Eq 4, UFR Sciences et Techniques, Université François RabelaisTours, France
| | - Julia-Lou Consoloni
- Aix Marseille Univ, CNRS, CRN2M UMR 7286Marseille, France.,FondaMental, Fondation de Recherche et de Soins en Santé MentaleCréteil, France.,AP-HM, Hôpital Sainte Marguerite, Pôle de Psychiatrie Universitaire SolarisMarseille, France
| | | | | | - Wissam El-Hage
- INSERM U930 Eq 4, UFR Sciences et Techniques, Université François RabelaisTours, France.,CHRU de Tours, Clinique Psychiatrique UniversitaireTours, France.,INSERM CIC 1415, Centre d'Investigation Clinique, CHRU de ToursTours, France
| | - Raoul Belzeaux
- Aix Marseille Univ, CNRS, CRN2M UMR 7286Marseille, France.,FondaMental, Fondation de Recherche et de Soins en Santé MentaleCréteil, France.,AP-HM, Hôpital Sainte Marguerite, Pôle de Psychiatrie Universitaire SolarisMarseille, France.,McGill Group for Suicide Studies, Douglas Mental Health University Institute, Department of Psychiatry, McGill UniversityMontreal, QC, Canada
| | - Catherine Belzung
- INSERM U930 Eq 4, UFR Sciences et Techniques, Université François RabelaisTours, France
| | - El Chérif Ibrahim
- Aix Marseille Univ, CNRS, CRN2M UMR 7286Marseille, France.,FondaMental, Fondation de Recherche et de Soins en Santé MentaleCréteil, France.,Aix Marseille Univ, CNRS, INT, Inst Neurosci Timone UMR 7289Marseille, France
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207
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SIRT1 Mediates Depression-Like Behaviors in the Nucleus Accumbens. J Neurosci 2017; 36:8441-52. [PMID: 27511015 DOI: 10.1523/jneurosci.0212-16.2016] [Citation(s) in RCA: 105] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 06/22/2016] [Indexed: 11/21/2022] Open
Abstract
UNLABELLED Depression is a recurring and life-threatening illness that affects up to 120 million people worldwide. In the present study, we show that chronic social defeat stress, an ethologically validated model of depression in mice, increases SIRT1 levels in the nucleus accumbens (NAc), a key brain reward region. Increases in SIRT1, a well characterized class III histone deacetylase, after chronic social defeat suggest a role for this enzyme in mediating depression-like behaviors. When resveratrol, a pharmacological activator of SIRT1, was directly infused bilaterally into the NAc, we observed an increase in depression- and anxiety-like behaviors. Conversely, intra-NAc infusions of EX-527, a SIRT1 antagonist, reduced these behaviors; EX-527 also reduced acute stress responses in stress-naive mice. Next, we increased SIRT1 levels directly in NAc by use of viral-mediated gene transfer and observed an increase in depressive- and anxiety-like behaviors when mice were assessed in the open-field, elevated-plus-maze, and forced swim tests. Using a Cre-inducible viral vector system to overexpress SIRT1 selectively in dopamine D1 or D2 subpopulations of medium spiny neurons (MSNs) in the NAc, we found that SIRT1 promotes depressive-like behaviors only when overexpressed in D1 MSNs, with no effect seen in D2 MSNs. Conversely, selective ablation of SIRT1 in the NAc using viral-Cre in floxed Sirt1 mice resulted in decreased depression- and anxiety-like behaviors. Together, these results demonstrate that SIRT1 plays an essential role in the NAc in regulating mood-related behavioral abnormalities and identifies a novel signaling pathway for the development of innovative antidepressants to treat major depressive disorders. SIGNIFICANCE STATEMENT In this study, we demonstrate a pivotal role for SIRT1 in anxiety- and depression-like behaviors in the nucleus accumbens (NAc), a key brain reward region. We show that stress stably induces SIRT1 expression in this brain region and that altering SIRT1 activity using a pharmacological or genetic approach regulates anxiety- and depression-like behaviors. These results suggest that SIRT1 plays an essential role in regulating mood-related behaviors and introduces a novel signaling pathway for the development of innovative antidepressants to treat depression and other stress-related disorders. A recent groundbreaking publication by the CONVERGE Consortium (2015) identified a reproducible association of the SIRT1 locus with major depression in humans. Therefore, our results are timely and have significant translational relevance.
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208
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Joëls M, de Kloet ER. 30 YEARS OF THE MINERALOCORTICOID RECEPTOR: The brain mineralocorticoid receptor: a saga in three episodes. J Endocrinol 2017. [PMID: 28634266 DOI: 10.1530/joe-16-0660] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
In 1968, Bruce McEwen discovered that 3H-corticosterone administered to adrenalectomised rats is retained in neurons of hippocampus rather than those of hypothalamus. This discovery signalled the expansion of endocrinology into the science of higher brain regions. With this in mind, our contribution highlights the saga of the brain mineralocorticoid receptor (MR) in three episodes. First, the precloning era dominated by the conundrum of two types of corticosterone-binding receptors in the brain, which led to the identification of the high-affinity corticosterone receptor as the 'promiscuous' MR cloned in 1987 by Jeff Arriza and Ron Evans in addition to the classical glucocorticoid receptor (GR). Then, the post-cloning period aimed to disentangle the function of the brain MR from that of the closely related GR on different levels of biological complexity. Finally, the synthesis section that highlights the two faces of brain MR: Salt and Stress. 'Salt' refers to the regulation of salt appetite, and reciprocal arousal, motivation and reward, by a network of aldosterone-selective MR-expressing neurons projecting from nucleus tractus solitarii (NTS) and circumventricular organs. 'Stress' is about the limbic-forebrain nuclear and membrane MRs, which act as a switch in the selection of the best response to cope with a stressor. For this purpose, activation of the limbic MR promotes selective attention, memory retrieval and the appraisal process, while driving emotional expressions of fear and aggression. Subsequently, rising glucocorticoid concentrations activate GRs in limbic-forebrain circuitry underlying executive functions and memory storage, which contribute in balance with MR-mediated actions to homeostasis, excitability and behavioural adaptation.
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Affiliation(s)
- Marian Joëls
- Department of Translational NeuroscienceBrain Center Rudolf Magnus, University Medical Center, Utrecht, The Netherlands
- University of GroningenUniversity Medical Center, Groningen, The Netherlands
| | - E Ronald de Kloet
- Division of EndocrinologyDepartment of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
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Tet1 in Nucleus Accumbens Opposes Depression- and Anxiety-Like Behaviors. Neuropsychopharmacology 2017; 42:1657-1669. [PMID: 28074830 PMCID: PMC5518912 DOI: 10.1038/npp.2017.6] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Revised: 01/03/2017] [Accepted: 01/05/2017] [Indexed: 12/20/2022]
Abstract
Depression is a leading cause of disease burden, yet current therapies fully treat <50% of affected individuals. Increasing evidence implicates epigenetic mechanisms in depression and antidepressant action. Here we examined a possible role for the DNA dioxygenase, ten-eleven translocation protein 1 (TET1), in depression-related behavioral abnormalities. We applied chronic social defeat stress, an ethologically validated mouse model of depression-like behaviors, and examined Tet1 expression changes in nucleus accumbens (NAc), a key brain reward region. We show decreased Tet1 expression in NAc in stress-susceptible mice only. Surprisingly, selective knockout of Tet1 in NAc neurons of adult mice produced antidepressant-like effects in several behavioral assays. To identify Tet1 targets that mediate these actions, we performed RNAseq on NAc after conditional deletion of Tet1 and found that immune-related genes are the most highly dysregulated. Moreover, many of these genes are also upregulated in the NAc of resilient mice after chronic social defeat stress. These findings reveal a novel role for TET1, an enzyme important for DNA hydroxymethylation, in the brain's reward circuitry in modulating stress responses in mice. We also identify a subset of genes that are regulated by TET1 in this circuitry. These findings provide new insight into the pathophysiology of depression, which can aid in future antidepressant drug discovery efforts.
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210
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Abstract
There is an urgent need for more effective medications to treat major depressive disorder, as fewer than half of depressed patients achieve full remission and many are not responsive with currently available antidepressant medications or psychotherapy. It is known that prolonged stressful events are an important risk factor for major depressive disorder. However, there are prominent individual variations in response to stress: a relatively small proportion of people (10-20%) experiencing prolonged stress develop stress-related psychiatric disorders, including depression (susceptibility to stress), whereas most stress-exposed individuals maintain normal psychological functioning (resilience to stress). There have been growing efforts to investigate the neural basis of susceptibility versus resilience to depression. An accumulating body of evidence is revealing the genetic, epigenetic, and neurophysiological mechanisms that underlie stress susceptibility, as well as the active mechanisms that underlie the resilience phenotype. In this review, we discuss, mainly based on our own work, key pathological mechanisms of susceptibility that are identified as potential therapeutic targets for depression treatment. We also review novel mechanisms that promote natural resilience as an alternative strategy to achieve treatment efficacy. These studies are opening new avenues to develop conceptually novel therapeutic strategies for depression treatment.
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Affiliation(s)
- Ming-Hu Han
- Department of Pharmacological Sciences and Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Eric J Nestler
- Department of Pharmacological Sciences and Institute for Systems Biomedicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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211
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Bondar N, Bryzgalov L, Ershov N, Gusev F, Reshetnikov V, Avgustinovich D, Tenditnik M, Rogaev E, Merkulova T. Molecular Adaptations to Social Defeat Stress and Induced Depression in Mice. Mol Neurobiol 2017; 55:3394-3407. [DOI: 10.1007/s12035-017-0586-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2016] [Accepted: 04/28/2017] [Indexed: 12/31/2022]
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212
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van Weert LTCM, Buurstede JC, Mahfouz A, Braakhuis PSM, Polman JAE, Sips HCM, Roozendaal B, Balog J, de Kloet ER, Datson NA, Meijer OC. NeuroD Factors Discriminate Mineralocorticoid From Glucocorticoid Receptor DNA Binding in the Male Rat Brain. Endocrinology 2017; 158:1511-1522. [PMID: 28324065 DOI: 10.1210/en.2016-1422] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 01/18/2017] [Indexed: 01/08/2023]
Abstract
In the limbic brain, mineralocorticoid receptors (MRs) and glucocorticoid receptors (GRs) both function as receptors for the naturally occurring glucocorticoids (corticosterone/cortisol) but mediate distinct effects on cellular physiology via transcriptional mechanisms. The transcriptional basis for specificity of these MR- vs GR-mediated effects is unknown. To address this conundrum, we have identified the extent of MR/GR DNA-binding selectivity in the rat hippocampus using chromatin immunoprecipitation followed by sequencing. We found 918 and 1450 nonoverlapping binding sites for MR and GR, respectively. Furthermore, 475 loci were co-occupied by MR and GR. De novo motif analysis resulted in a similar binding motif for both receptors at 100% of the target loci, which matched the known glucocorticoid response element (GRE). In addition, the Atoh/NeuroD consensus sequence was found in co-occurrence with all MR-specific binding sites but was absent for GR-specific or MR-GR overlapping sites. Basic helix-loop-helix family members Neurod1, Neurod2, and Neurod6 showed hippocampal expression and were hypothesized to bind the Atoh motif. Neurod2 was detected at rat hippocampal MR binding sites but not at GR-exclusive sites. All three NeuroD transcription factors acted as DNA-binding-dependent coactivators for both MR and GR in reporter assays in heterologous HEK293 cells, likely via indirect interactions with the receptors. In conclusion, a NeuroD family member binding to an additional motif near the GRE seems to drive specificity for MR over GR binding at hippocampal binding sites.
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Affiliation(s)
- Lisa T C M van Weert
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Center, 6500 HB, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University, 6525 EN, Nijmegen, The Netherlands
| | - Jacobus C Buurstede
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | - Ahmed Mahfouz
- Department of Radiology, Division of Image Processing, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
- Delft Bioinformatics Laboratory, Delft University of Technology, 2628 CD, Delft, The Netherlands
| | - Pamela S M Braakhuis
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | - J Annelies E Polman
- Division of Medical Pharmacology, Leiden/Amsterdam Center for Drug Research, 2300 RC, Leiden, The Netherlands
| | - Hetty C M Sips
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | - Benno Roozendaal
- Department of Cognitive Neuroscience, Radboud University Medical Center, 6500 HB, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University, 6525 EN, Nijmegen, The Netherlands
| | - Judit Balog
- Department of Human Genetics, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | - E Ronald de Kloet
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
- Division of Medical Pharmacology, Leiden/Amsterdam Center for Drug Research, 2300 RC, Leiden, The Netherlands
| | - Nicole A Datson
- Division of Medical Pharmacology, Leiden/Amsterdam Center for Drug Research, 2300 RC, Leiden, The Netherlands
| | - Onno C Meijer
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
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213
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Denhardt DT. Effect of stress on human biology: Epigenetics, adaptation, inheritance, and social significance. J Cell Physiol 2017; 233:1975-1984. [PMID: 28158904 DOI: 10.1002/jcp.25837] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Accepted: 02/01/2017] [Indexed: 12/21/2022]
Abstract
I present a brief introduction to epigenetics, focused primarily on methylation of the genome and various regulatory RNAs, modifications of associated histones, and their importance in enabling us to adapt to real and changing environmental, developmental, and social circumstances. Following this is a more extensive overview of how it impacts our inheritance, our entire life (which changes as we age), and how we interact with others. Throughout, I emphasize the critical influence that stress, of many varieties exerts, via epigenetic means, on much of how we live and survive, mostly in the brain. I end with a short section on multigenerational transmission, drugs, and the importance of both social life and early life experiences in the development of adult diseases. There will be nothing about cancer. Although epigenetics is critical in that field, it is a whole different cobweb of complications (some involving stress).
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Affiliation(s)
- David T Denhardt
- Division of Life Sciences, Rutgers University, New Brunswick, New Jersey
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214
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Peña CJ. D1 and D2 Type Medium Spiny Neuron Contributions to Depression. Biol Psychiatry 2017; 81:636-638. [PMID: 28317546 DOI: 10.1016/j.biopsych.2017.02.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 02/16/2017] [Indexed: 10/19/2022]
Affiliation(s)
- Catherine Jensen Peña
- Fishberg Department of Neuroscience, New York, New York; Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
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215
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Descalzi G, Mitsi V, Purushothaman I, Gaspari S, Avrampou K, Loh YHE, Shen L, Zachariou V. Neuropathic pain promotes adaptive changes in gene expression in brain networks involved in stress and depression. Sci Signal 2017; 10:10/471/eaaj1549. [PMID: 28325815 DOI: 10.1126/scisignal.aaj1549] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Neuropathic pain is a complex chronic condition characterized by various sensory, cognitive, and affective symptoms. A large percentage of patients with neuropathic pain are also afflicted with depression and anxiety disorders, a pattern that is also seen in animal models. Furthermore, clinical and preclinical studies indicate that chronic pain corresponds with adaptations in several brain networks involved in mood, motivation, and reward. Chronic stress is also a major risk factor for depression. We investigated whether chronic pain and stress affect similar molecular mechanisms and whether chronic pain can affect gene expression patterns that are involved in depression. Using two mouse models of neuropathic pain and depression [spared nerve injury (SNI) and chronic unpredictable stress (CUS)], we performed next-generation RNA sequencing and pathway analysis to monitor changes in gene expression in the nucleus accumbens (NAc), the medial prefrontal cortex (mPFC), and the periaqueductal gray (PAG). In addition to finding unique transcriptome profiles across these regions, we identified a substantial number of signaling pathway-associated genes with similar changes in expression in both SNI and CUS mice. Many of these genes have been implicated in depression, anxiety, and chronic pain in patients. Our study provides a resource of the changes in gene expression induced by long-term neuropathic pain in three distinct brain regions and reveals molecular connections between pain and chronic stress.
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Affiliation(s)
- Giannina Descalzi
- Fishberg Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Vasiliki Mitsi
- Fishberg Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Immanuel Purushothaman
- Fishberg Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sevasti Gaspari
- Fishberg Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Kleopatra Avrampou
- Fishberg Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Yong-Hwee Eddie Loh
- Fishberg Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Li Shen
- Fishberg Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Venetia Zachariou
- Fishberg Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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216
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Olini N, Rothfuchs I, Azzinnari D, Pryce CR, Kurth S, Huber R. Chronic social stress leads to altered sleep homeostasis in mice. Behav Brain Res 2017; 327:167-173. [PMID: 28315757 DOI: 10.1016/j.bbr.2017.03.022] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 03/06/2017] [Accepted: 03/10/2017] [Indexed: 12/22/2022]
Abstract
Disturbed sleep and altered sleep homeostasis are core features of many psychiatric disorders such as depression. Chronic uncontrollable stress is considered an important factor in the development of depression, but little is known on how chronic stress affects sleep regulation and sleep homeostasis. We therefore examined the effects of chronic social stress (CSS) on sleep regulation in mice. Adult male C57BL/6 mice were implanted for electrocortical recordings (ECoG) and underwent either a 10-day CSS protocol or control handling (CON). Subsequently, ECoG was assessed across a 24-h post-stress baseline, followed by a 4-h sleep deprivation, and then a 20-h recovery period. After sleep deprivation, CSS mice showed a blunted increase in sleep pressure compared to CON mice, as measured using slow wave activity (SWA, electroencephalographic power between 1-4Hz) during non-rapid eye movement (NREM) sleep. Vigilance states did not differ between CSS and CON mice during post-stress baseline, sleep deprivation or recovery, with the exception of CSS mice exhibiting increased REM sleep during recovery sleep. Behavior during sleep deprivation was not affected by CSS. Our data provide evidence that CSS alters the homeostatic regulation of sleep SWA in mice. In contrast to acute social stress, which results in a faster SWA build-up, CSS decelerates the homeostatic build up. These findings are discussed in relation to the causal contribution of stress-induced sleep disturbance to depression.
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Affiliation(s)
- Nadja Olini
- Child Development Center, University Children's Hospital Zurich, CH-8032 Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, CH-8057 Zurich, Switzerland
| | - Iru Rothfuchs
- Child Development Center, University Children's Hospital Zurich, CH-8032 Zurich, Switzerland
| | - Damiano Azzinnari
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, CH-8057 Zurich, Switzerland; Preclinical Laboratory for Translational Research into Affective Disorders, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, CH-8008 Zurich, Switzerland
| | - Christopher R Pryce
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, CH-8057 Zurich, Switzerland; Zurich Center for Integrative Human Physiology, University of Zurich, CH-8057 Zurich, Switzerland; Preclinical Laboratory for Translational Research into Affective Disorders, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, CH-8008 Zurich, Switzerland
| | - Salome Kurth
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, CH-8057 Zurich, Switzerland; Baby Sleep Laboratory, Division of Pulmonology, University Hospital Zurich, CH-8091 Zurich, Switzerland
| | - Reto Huber
- Child Development Center, University Children's Hospital Zurich, CH-8032 Zurich, Switzerland; Neuroscience Center Zurich, University of Zurich and ETH Zurich, CH-8057 Zurich, Switzerland; Zurich Center for Integrative Human Physiology, University of Zurich, CH-8057 Zurich, Switzerland.
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217
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Bai S, Hu Q, Chen Z, Liang Z, Wang W, Shen P, Wang T, Wang H, Xie P. Brain region-specific metabolite networks regulate antidepressant effects of venlafaxine. RSC Adv 2017. [DOI: 10.1039/c7ra08726h] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Administration of venlafaxine significantly altered the metabolic profiles of both the hippocampus and prefrontal cortex and the altered metabolites had significant brain region specificities.
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Affiliation(s)
- Shunjie Bai
- Department of Neurology
- Yongchuan Hospital
- Chongqing Medical University
- Chongqing 402460
- China
| | - Qingchuan Hu
- Chongqing Key Laboratory of Neurobiology
- Chongqing
- China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science
- Chongqing Medical University
| | - Zhi Chen
- Department of Neurology
- Yongchuan Hospital
- Chongqing Medical University
- Chongqing 402460
- China
| | - Zihong Liang
- Chongqing Key Laboratory of Neurobiology
- Chongqing
- China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science
- Chongqing Medical University
| | - Wei Wang
- Department of Neurology
- Yongchuan Hospital
- Chongqing Medical University
- Chongqing 402460
- China
| | - Peng Shen
- Chongqing Key Laboratory of Neurobiology
- Chongqing
- China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science
- Chongqing Medical University
| | - Ting Wang
- Department of Neurology
- Yongchuan Hospital
- Chongqing Medical University
- Chongqing 402460
- China
| | - Haiyang Wang
- Chongqing Key Laboratory of Neurobiology
- Chongqing
- China
- Institute of Neuroscience and the Collaborative Innovation Center for Brain Science
- Chongqing Medical University
| | - Peng Xie
- Department of Neurology
- Yongchuan Hospital
- Chongqing Medical University
- Chongqing 402460
- China
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218
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Deussing JM, Jakovcevski M. Histone Modifications in Major Depressive Disorder and Related Rodent Models. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 978:169-183. [PMID: 28523546 DOI: 10.1007/978-3-319-53889-1_9] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Major depressive disorder (MDD) is a multifactorial disease, weakly linked to multiple genetic risk factors. In contrast to that, environmental factors and "gene × environment" interaction between specific risk genes and environmental factors, such as severe or early stress exposure, have been strongly linked to MDD vulnerability. Stressors can act on the interface between an organism and the environment, the epigenome. The molecular foundation for the impact of stressors on the risk to develop MDD is based on the hormonal stress response itself: the glucocorticoid receptor (GR, encoded by NR3C1). NR3C1 can directly interact with the epigenome in the cell nucleus. Besides DNA methylation, histone modifications have been reported to be crucial targets for the interaction with the stress response system. Here, we review critical findings on the impact of the most relevant histone modifications, i.e. histone acetylation and methylation, in the context of MDD and related animal models. We discuss new treatment options which have been based on these findings, including histone deacetylase inhibitors (HDACis) and drugs targeting specific histone marks, closely linked to psychiatric disease. In this context we talk about contemporary and future approaches required to fully understand (1) the epigenetics of stress-related disease and (2) the mode of action of potential MDD drugs targeting histone modifications. This includes harnessing the unprecedented potentials of genome-wide analysis of the epigenome and transcriptome, in a cell type-specific manner, and the use of epigenome editing technologies to clearly link epigenetic marks on specific genomic loci to functional relevance.
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Affiliation(s)
- Jan M Deussing
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Kraepelinstr. 2, 80804, Munich, Bavaria, Germany
| | - Mira Jakovcevski
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Kraepelinstr. 2, 80804, Munich, Bavaria, Germany.
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219
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Pfau ML, Purushothaman I, Feng J, Golden SA, Aleyasin H, Lorsch ZS, Cates HM, Flanigan ME, Menard C, Heshmati M, Wang Z, Ma'ayan A, Shen L, Hodes GE, Russo SJ. Integrative Analysis of Sex-Specific microRNA Networks Following Stress in Mouse Nucleus Accumbens. Front Mol Neurosci 2016; 9:144. [PMID: 28066174 PMCID: PMC5179560 DOI: 10.3389/fnmol.2016.00144] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 11/28/2016] [Indexed: 12/21/2022] Open
Abstract
Adult women are twice as likely as men to suffer from affective and anxiety disorders, although the mechanisms underlying heightened female stress susceptibility are incompletely understood. Recent findings in mouse Nucleus Accumbens (NAc) suggest a role for DNA methylation-driven sex differences in genome-wide transcriptional profiles. However, the role of another epigenetic process-microRNA (miR) regulation-has yet to be explored. We exposed male and female mice to Subchronic Variable Stress (SCVS), a stress paradigm that produces depression-like behavior in female, but not male, mice, and performed next generation mRNA and miR sequencing on NAc tissue. We applied a combination of differential expression, miR-mRNA network and functional enrichment analyses to characterize the transcriptional and post-transcriptional landscape of sex differences in NAc stress response. We find that male and female mice exhibit largely non-overlapping miR and mRNA profiles following SCVS. The two sexes also show enrichment of different molecular pathways and functions. Collectively, our results suggest that males and females mount fundamentally different transcriptional and post-transcriptional responses to SCVS and engage sex-specific molecular processes following stress. These findings have implications for the pathophysiology and treatment of stress-related disorders in women.
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Affiliation(s)
- Madeline L Pfau
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount SinaiNew York, NY, USA
| | - Immanuel Purushothaman
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York, NY, USA
| | - Jian Feng
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York, NY, USA
| | - Sam A Golden
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount SinaiNew York, NY, USA
| | - Hossein Aleyasin
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York, NY, USA
| | - Zachary S Lorsch
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount SinaiNew York, NY, USA
| | - Hannah M Cates
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount SinaiNew York, NY, USA
| | - Meghan E Flanigan
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount SinaiNew York, NY, USA
| | - Caroline Menard
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York, NY, USA
| | - Mitra Heshmati
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount SinaiNew York, NY, USA
| | - Zichen Wang
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount SinaiNew York, NY, USA; Department of Pharmacology and Systems Therapeutics, BD2K-LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount SinaiNew York, NY, USA
| | - Avi Ma'ayan
- Department of Pharmacology and Systems Therapeutics, BD2K-LINCS Data Coordination and Integration Center, Icahn School of Medicine at Mount Sinai New York, NY, USA
| | - Li Shen
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York, NY, USA
| | - Georgia E Hodes
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York, NY, USA
| | - Scott J Russo
- Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai New York, NY, USA
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220
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Aberrant H3.3 dynamics in NAc promote vulnerability to depressive-like behavior. Proc Natl Acad Sci U S A 2016; 113:12562-12567. [PMID: 27791098 DOI: 10.1073/pnas.1608270113] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Human major depressive disorder (MDD), along with related mood disorders, is among the world's greatest public health concerns; however, its pathophysiology remains poorly understood. Persistent changes in gene expression are known to promote physiological aberrations implicated in MDD. More recently, histone mechanisms affecting cell type- and regional-specific chromatin structures have also been shown to contribute to transcriptional programs related to depressive behaviors, as well as responses to antidepressants. Although much emphasis has been placed in recent years on roles for histone posttranslational modifications and chromatin-remodeling events in the etiology of MDD, it has become increasingly clear that replication-independent histone variants (e.g., H3.3), which differ in primary amino acid sequence from their canonical counterparts, similarly play critical roles in the regulation of activity-dependent neuronal transcription, synaptic connectivity, and behavioral plasticity. Here, we demonstrate a role for increased H3.3 dynamics in the nucleus accumbens (NAc)-a key limbic brain reward region-in the regulation of aberrant social stress-mediated gene expression and the precipitation of depressive-like behaviors in mice. We find that molecular blockade of these dynamics promotes resilience to chronic social stress and results in a partial renormalization of stress-associated transcriptional patterns in the NAc. In sum, our findings establish H3.3 dynamics as a critical, and previously undocumented, regulator of mood and suggest that future therapies aimed at modulating striatal histone dynamics may potentiate beneficial behavioral adaptations to negative emotional stimuli.
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