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. 2014 Sep;16(3):281–295. doi: 10.31887/DCNS.2014.16.3/rbagot

Epigenetic signaling in psychiatric disorders: stress and depression

Señales epigenéticas en los trastornos psíquíátricos: estrés y depresíon

Signalisation épigénétique dans les troubles psychiatriques: stress et dépression

Rosemary C Bagot 1, Benoit Labonté 2, Catherine J Peña 3, Eric J Nestler 4,*
PMCID: PMC4214172  PMID: 25364280

Abstract

Psychiatric disorders are complex multifactorial disorders involving chronic alterations in neural circuit structure and function. While genetic factors play a role in the etiology of disorders such as depression, addiction, and schizophrenia, relatively high rates of discordance among identical twins clearly point to the importance of additional factors. Environmental factors, such as stress, play a major role in the psychiatric disorders by inducing stable changes in gene expression, neural circuit function, and ultimately behavior. Insults at the developmental stage and in adulthood appear to induce distinct maladaptations. Increasing evidence indicates that these sustained abnormalities are maintained by epigenetic modifications in specific brain regions. Indeed, transcriptional dysregulation and associated aberrant epigenetic regulation is a unifying theme in psychiatric disorders. Aspects of depression can be modeled in animals by inducing disease-like states through environmental manipulations, and these studies can provide a more general understanding of epigenetic mechanisms in psychiatric disorders. Understanding how environmental factors recruit the epigenetic machinery in animal models is providing new insights into disease mechanisms in humans.

Keywords: acetylation, animal model, depression, early life, epigenetic, histone, methylation, stress

Introduction

Psychiatric disorders are complex and heterogeneous disorders arising from the interaction of several factors based on neurobiology, genetics, culture, and life experience. Advances in the last decade have identified epigenetic mechanisms as important actors in psychiatric conditions. Indeed, being at the center of gene regulation, epigenetic mechanisms are ideal candidates for the study of these conditions. Epigenetic mechanisms refer to chemical modifications of DNA (without a change in nucleotide sequence) and to a host of protein and RNA molecules that bind to DNA, and which regulate transcription. Epigenetic mechanisms, including DNA methylation, histone modifications, and microRNAs, are a particularly attractive explanation for how environmental factors, such as stress, exert life-long effects on neuropsychiatric phenomena. Addiction-relevant transcriptional regulation can be studied in rodents by exposing animals to drugs of abuse. To date, most studies have focused on experimenter-administered drug exposure and it should be noted that, although many effects are recapitulated in self-administration models, clearly some mechanisms are distinct. DNA methylation, histone modifications, and noncoding RNAs have all been implicated in regulating addiction processes, and this literature has been extensively reviewed in several recent publications.1-4 In contrast, the complex symptomatology of schizophrenia has proven more difficult to model in rodents, hindering efforts to advance the understanding of epigenetic mechanisms. However, limited data from human postmortem brains, complemented by findings from available animal models, suggest a potential role for DNA methylation of genomic targets implicated in this disorder, including glutamic acid decarboxylase67 (GAD67) and Reelin (RELN), as well as alterations in histone acetylation. For a detailed discussion, we refer the reader to several recent reviews.5-7 The current review focuses on the growing literature detailing modification of epigenetic regulation in the context of depression. The majority of these findings come from stress-related animal models of depression, although interesting insights in humans are starting to accumulate.

The complexity and heterogeneity of depression, as well as the ubiquity of many of the symptoms of depression, render clear identification of its etiology very difficult. Stressful life events represent a major risk factor in determining an individual's vulnerability to depression. Animal models offer a useful approach to study these questions. The development of chronic stress paradigms, combined with the ability to objectively measure anhedonia and certain stress susceptibility symptoms in rodents, have helped clarify the neural circuitry and neuroadaptations underlying depression. Chronic stress exposure induces functional and transcriptional alterations in several limbic regions implicated in regulating stress and reward responses (Figure 1). 4,8-12 Research, to date, has focused on relatively distinct neural circuits in exploring consequences of developmental vs adult stress. The present review brings together findings relating to epigenetic mechanisms in depression from both adult and developmental studies—in animal models and in humans—and elaborates the potential offered by epigenetic analyses to understand this complex disorder better.

Figure 1. Epigenetic dysregulation in the HPA axis and reward circuitry is implicated in psychiatric disorders. A majority of research on altered epigenetic regulation in depression and other stress-related disorders has focused on changes within the HPA axis (A) and the brain's reward circuitry (B), depicted here in the rodent brain. Studies examining the effects of early-life manipulations on epigenetic regulation of behavior have focused on changes within the HPA axis, in contrast to adult studies, which have concentrated on epigenetic alterations in the reward circuitry. A) Main components of the HPA axis: CRF and AVP from the paraventricular nucleus of the PVN stimulates ACTH release from the anterior pituitary, which induces glucocorticoid (cortisol [human] or corticosterone [rodent]) release from the adrenal cortex. GRs in the HPC and other brain regions mediate negative feedback to reduce the stress response. B) Depicted are the major components of the limbic-reward circuitry: dopaminergic neurons (green) project from the VTA to the NAc, PFC, AMY, and HPC, among other regions. The NAc receives excitatory glutamatergic innervation (red) from the HPC, PFC, and AMY. ACTH, adrenocorticotropic hormone; AMY, amygdala; AVP, vasopressin; CRF, corticotropin releasing factor; GRs, glucocorticoid receptors; HPA, hypothalamic-pituitary-adrenal axis; HPC, hippocampus; PFC, prefrontal cortex; PVN, hypothalamus; VTA, ventral tegmental area.

Figure 1.

Overview of epigenetic regulatory mechanisms

Epigenetic modes of gene regulation can be grouped into three general domains: (i) histone post-translational modifications (PTMs) and histone variant exchange; (ii) chromatin remodeling; and (iii) DNA methylation. While individually important, these mechanisms work together to orchestrate precise phenotypic outputs in mammalian cells. Also important for epigenetic control is the regulation of noncoding RNAs, which is not discussed here due to space limitations.

Histone modifications

The best-characterized mode of epigenetic regulation in brain is the post-translational, covalent modifications of histones.13 Histones are proteins that stably interact with DNA to form nucleosomes, which package DNA into chromatin (Figure 2). The nucleosome consists of DNA wrapped around an octamer of core histone proteins, two copies each of H3, H4, H2A, and H2B. For each of the core histones in mammals, with the exception of H4, variants exist that can exhibit significantly distinct structures, temporal regulation, and cell-type specificity from their canonical counterparts. Histone variants may also provide an alternative mechanism of encoding and transmitting epigenetic information.

Figure 2. Chromatin structure and histone modifications at N-terminal histone tails. (A) The eukaryotic genome is organized by wrapping DNA around histone octamers to form the basic units of chromatin and nucleosomes, which are then further organized and compacted into higher ordered structures. (B) The histone octamer consists of two copies each of H2A, H2B, H3, and H4. In addition to globular domains, they each have N-terminal tails that protrude from the nucleosome, while H2A also has a C-terminal tail that displays similar regulatory features. These tails can be post-translationally modified, and all known mammalian acetylation and methylation modifications on lysine residues on each tail are highlighted. The molecules are drawn roughly to proportion to the size of the protein, although the number of residues shown is not meant to reflect the exact size of the N-terminal tails. Adapted from ref 105: Sun H, Kennedy PJ, Nestler EJ. Epigenetics of the depressed brain: role of histone acetylation and methylation. Neuropsychopharmacology. 2013;38:124-137. © 2013, American College of Neuropsychopharmacology.

Figure 2.

Interactions between DNA and core histone proteins can be altered by covalent modifications to histone N-terminal and C- terminal tails.13 A large variety of histone PTMs have been identified, including phosphorylation, acetylation, methylation, adenosine diphosphate (ADP) ribosylation, ubiquitination, crotonylation, and small ubiquitin-like modifier (SUMO)ylation. Histone acetylation and phosphorylation decrease the affinity of histone octamers for DNA to loosen chromatin structure. This relaxed chromatin state, referred to as euchromatin, allows the transcriptional machinery, DNA binding proteins, and chromatin remodeling complexes access to genes and is often associated with active gene transcription. Methylation of lysine or arginine residues in histone tails is generally thought to be more stable than other histone PTMs, and plays roles in both transcriptional activation and repression depending on the residue being methylated. Histone methylation can also exist in multiple valence states (eg, mono-, di-, or trimethylation), with each state associated with distinct molecular consequences. The roles of histone ADP ribosylation, ubiquitylation, crotonylation, and SUMOylation are less well understood.

The enzymes that mediate histone modifications and their reversal can be understood as “writers” and “erasers,” respectively. For example, histone acetyltransferases (HATs) catalyze acetylation and histone deacetylases (HDACs) catalyze removal (deacetylation) of this mark. Similarly, histone methyltransferases (HMTs) catalyze methylation and histone demethylases (HDMs) catalyze removal of methylation marks. Proteins that bind to specific modified residues, termed “readers,” mediate the functional consequences of histone PTMs through effecting transcriptional change. Distinct roles for histone PTMs, along with their writers, readers, and erasers, led scientists to develop what is commonly referred to as the “histone code hypothesis,” which proposes that specific histone modifications work sequentially or in combination to form a code that can be read by other proteins to effect downstream changes in gene expression.14 While it is true that certain histone PTMs are read in this way, it is becoming increasingly clear that a histone code per se does not work in isolation to direct the complex mechanisms of epigenetic regulation. Rather, this code cooperates with many other mechanisms, such as DNA methylation and chromatin remodeling, to produce a given phenotype.

Chromatin remodeling

With or without histone PTMs, nucleosomes themselves function as physical barriers to transcription. The transcription start sites (TSS) of actively transcribed genes are commonly depleted of nucleosomes; conversely, occlusion of TSSs by nucleosomal occupancy is often associated with gene repression. The precise positions of nucleosomes along DNA are controlled by chromatin remodeling complexes, which act to insert, slide, and eject histone octamers from the chromatin template. These multi-subunit complexes regulate the expression of many transcription factors. Chromatin remodelers also regulate alternative splicing, events that occur cotranscriptionally. It is likely that interactions between remodelers and associated transcription factors, other DNA binding proteins, histone PTMs, and DNA methylation, work together to direct remodeling activity in a manner that alters nucleosome positioning to affect gene transcription. Several major families of chromatin remodeling proteins have been described in cultured cell systems and are just now being studied in nervous tissue.

DNA methylation

Historically, the most studied epigenetic modification is the direct methylation of DNA, involving the addition of a methyl group to cytosine.15 DNA methylation is classically regarded as a highly stable epigenetic mark and can be maintained throughout the lifetime of an organism. DNA methyltransferase (DNMT) catalyzes DNA methylation and occurs most commonly at CpG dinucleotides. DNA methylation generally exerts a repressive effect on gene transcription, as exemplified by the X chromosome inactivation in females and genomic imprinting, where hypermethylation of one parental allele for a given gene results in monoallelic expression.15 There are instances, however, in which DNA methylation may promote gene expression. One mechanism through which DNA methylation inhibits gene expression is through the masking of DNA sequences to prevent their recognition by activating transcription factors. Additionally, methylated DNA is recognized by methyl-CpG-binding domain (MBD) proteins, such as MECP2 (protein-coding) and MBD1, whose binding can further recruit histone modifying enzymes and chromatin-remodeling complexes to compact nucleosomes and inhibit gene expression. DNA methylation has also been associated with alternative splicing although the mechanisms are still unclear.16

Recently, additional DNA modifications have been discovered, including 5-hydroxymethylcytosine (5hmC), 5-formylcytosine, and 5-carboxylcytosine.17,18 These chemical modifications are thought to be derived from 5-methylcytosine through oxidation steps catalyzed by members of the ten-eleven translocation (TET) enzyme family, potentially representing a process of active DNA demethylation. DNA methylation in the brain may be more dynamic than in other tissues. Support for this idea comes from the discovery that: (i) the de novo DNA methyltransferase, DNMT3a, is the main DNMT expressed in neurons19; (ii) the highest levels of oxidized forms of methylcytosine are found in the brain17; and (iii) active DNA repair results in demethylated DNA in nondividing neurons.20 There is also evidence that the primary effect of 5-hmC is to promote gene expression through mechanisms that remain poorly understood.

Epigenetics and depression: studies in adulthood

Our understanding of the role of epigenetics in adult depression comes primarily from animal models. While acute stress paradigms are designed to evaluate an animal's initial coping response, chronic stress paradigms involve prolonged exposure to either physical21 or psychological stressors, such as social subordination.22 Such chronic stress paradigms recapitulate certain behavioral features of human depression. Chronic stress produces anhedonia-like symptoms, characterized by a decrease in reward-related behaviors such as reduced preference for sucrose and social interaction22-23 that are rarely seen following acute stress. Additionally, certain behavioral alterations induced by chronic stress are long-lasting and can be effectively reversed by chronic, but not acute, treatment with existing antidepressant medications,22,23 a treatment course comparable with that required in humans. Together, these findings suggest that chronic stress paradigms are more effective at modeling at least certain features or subtypes of the human depression syndrome, while acute studies may provide insight into neuronal adaptations that regulate short-lived responses to stressful events.

Histone modifications

As mentioned above, modifications of histone tails widely affect gene expression and stress is believed to interfere profoundly with this process. While these effects are not perfectly understood, ongoing research is providing important insights into the role that these marks may have in the pathophysiology of depression (Table I)

Table I. Effect of stress on histone post-translational modifications and gene expression. Stress at different ages alters histone modifications within different brain regions, as well as proteins and enzymes responsible for these marks. General: global changes in total cellular levels of these marks. Green indicates increases associated with stress and blue indicates decreases with stress.

Epigenetic mark Age of stress Brain region/direction Specific genes regulated References
H2BAc (general) Adult HPC 34
HPC, PFC 69
H3Ac (general) Postnatal Adult PFC Bdnf 24, 39
HPC, AMY 34, 38
H3K9Ac Postnatal HPC Nr3c1 28, 70-62
AMY 36
HPC (transiently) 33
H3K14Ac (general) Adult HPC (chronic)
NAc 25
H3K18Ac (general) Adult PFC 40
H4Ac (general) Postnatal HPC 69
H4K12Ac (general) Postnatal forebrain 67
Hdac 1, 3, 7, 8, 10 (general) Postnatal forebrain, HPC 67, 68
Hdac2 (general) Adult NAc 25
Hdac3 (general) Adult HPC 34
NAc, AMY 32, 37
Hdac5 (general) Adult NAc, with imipramine
HPC, with imipramine 24
CREB Binding protein (general) Adult HPC 34
H3K4me3 Adult PFC SYN2, OAZ 47, 48
H3K9me1 (general) Adult HPC 44
NAc 33
H3K9me2 Adult NAc, with fluoxetine Camkiia 41
H3K9me3 (general) Adult HPC 44, 45
G9a (general) Adult NAc 33
NAc, HPC Rac1 (NAc) 43, 44
H3K27me3 Adult PFC TRKB 49, 50
PFC (with treatment) BDNF 52

Histone acetylation

The potential importance of histone acetylation in depression was initially suggested by observations that HDAC inhibition alone, or in combination with, antidepressant treatment ameliorated depression-like behaviors in rodents.24-31 In mice, chronic social defeat stress (CSDS) induces genome -wide reprogramming of transcriptional profiles.25 These changes associate with a transient decrease in H3K14 acetylation in the nucleus accumbens (NAc) and with a persistent reduction in HDAC225; both findings are also seen in the NAc of depressed humans. Interestingly, fluoxetine treatment, intra-NAc infusion of a class I HDAC inhibitor, or overexpression of an Hdac2 dominant-negative mutant yields antidepressant-like effects, suggesting that the persistent increase in histone acetylation in the NAc may facilitate adaptation to chronic stress.25,31 However, expression of the class II HDAC, Hdac5, is decreased in the NAc of mice susceptible to CSDS and increased by chronic imipramine treatment, and Hdac5 knockout mice are more susceptible to CSDS.32 In view of these opposing effects, it is likely that HDAC2 and HDAC5 regulate distinct populations of genes and, based on HDAC5's shuttling between the cytoplasm and nucleus, HDAC5 could also regulate nonhistone targets.

Chronic stress paradigms also robustly regulate histone acetylation in the hippocampus (HPC), a brain region implicated in the regulation of stress responses. In contrast to effects in the NAc, CSDS transiently increases, then persistently decreases, global H3K14 acetylation33; effects that are reversed by chronic imipramine. As well, imipramine induction of brain-derived neurotrophic factor (BDNF) in the HPC is associated with increased H3 acetylation at Bdnf promoters.24 However, the fact that intra-HPC HDAC inhibition does not restore social interaction in defeated mice suggests that other mechanisms may be involved, most likely histone methylation. In addition, whereas Hdac5 expression in the NAc is antidepressant, in the HPC, Hdac5 is downregulated by imipramine in defeated mice and HPC overexpression of Hdac5 blocks the antidepressant actions of imipramine. These findings underscore the region-specific influence of epigenetic proteins on complex behavior.

In a genetic rat model of stress susceptibility, high responders (HR), which exhibit basal reductions in anxiety and increased sucrose preference relative to low responders (LR), have increased cAMP response element-binding protein (a type of HAT), lower HDAC3, and higher global H3 and H2B acetylation levels in the HPC.34 However, HR rats are behaviorally more susceptible to CSDS than LR rats and, after CSDS, HR rats have decreased the global H3 and H2B acetylation in the HPC. In contrast, LR rats have increased H3 acetylation, suggesting that dynamic regulation of H3 acetylation in the HPC regulates depression-like behavior. Repeated electroconvulsive seizures (ECS) are robustly antidepressant, and regulate H3 and H4 acetylation at the Bdnf, c-Fos, and Creb promoters in a time-dependent manner that correlates with gene expression changes. Downregulation of c-Fos was linked to reduced H4 acetylation, whereas sustained induction of Bdnf was linked to increased H3 acetylation.35 Potentially, H3 and H4 acetylation differentially modulates depression-like states in the HPC, further highlighting the complexity of histone mechanisms in depression.

H3K14 acetylation is transiently increased in the amygdala after CSDS.36 Intra-amygdala HDAC inhibition reverses social avoidance, but not sucrose-preference deficits, suggesting that histone acetylation in the amygdala and the HPC may regulate different aspects of depression-like behavior. Chronic unpredictable stress in rats reduced Hdac5 expression in the amygdala37 and acute, but not chronic, defeat transiently decreased amygdala H3 acetylation.38 Data on the role of histone acetylation in depression in the prefrontal cortex (PFC) is limited. Although some studies report no global change in acetylation levels,36,38 conflicting reports suggest that CSDS increases global H3 acetylation in the PFC.39 A recent study found that rats less resilient to CSDS had increased levels of H3K18 acetylation in the PFC.40 At this point, the lack of data documenting effects of manipulating histone acetylation in the amygdala and PFC prohibits a clearer understanding of the importance of potential stress-induced acetylation changes in these brain regions.

Histone methylation

CSDS robustly decreases global levels of the repressive H3K9me2 in the NAc, with the coincident downregulation of the histone methyltransferases G9a and G9a-like protein.33 Overexpression of G9a in the NAc is antidepressant33 and increased H3K9me2 at specific gene promoters is implicated in the antidepressant effect of fluoxetine.41 Indeed, chronic exposure to fluoxetine reduces Camkii expression by reducing H3 acetylation and increasing H3K9me2 levels at the Camkiia promoter in the NAc. Interestingly, similar effects are found in the NAc of depressed humans exposed to antidepressants, suggesting that the stress-induced loss of repressive methylation is maladaptive and that the therapeutic effects of antidepressant drugs may act via the reinstatement of these marks at specific gene loci. The decreases in H3K9me2 in the NAc would be expected to mediate a more permissive transcriptional state similar to the effect of the global increases in H3 acetylation. However, manipulations that decrease repressive methylation induce susceptibility, whereas manipulations that increase acetylation induce resilience. Genome-wide promoter microarrays revealed dynamic changes in H3K9me2 and H3K27me2 levels in the NAc after CSDS or protracted social isolation, with more genes evidencing increased H3 methylation. Interestingly, approximately 20% of genes were similarly regulated in both stress models.42 This opposes the finding of reduced global levels of H3K9me2 in the NAc of susceptible mice.33 Another repressive histone mark, H3K27me3, is increased upstream of the Rac1 gene promoter in the NAc of susceptible mice and this is associated with a sustained reduction in transcript expression that influences characteristic dendritic spine changes in defeated mice.43 These findings are corroborated in humans as H3K27me3 levels are inversely correlated with RAC1 expression, which is also decreased in the NAc of depression patients.43

Stress regulates histone methylation in the HPC in a complex, time-dependent manner, potentially reflecting different processes of initial stress adaptation subsiding into eventual maladaptations with sustained stress.44 For instance, acute stress increases global H3K27me3 and H3K9me3 levels, but decreases H3K9me1, effects that return to basal levels with chronic stress. In addition, subchronic and chronic stress has opposing effects on global H3K4me3 levels, which can be reversed by antidepressant treatment. Acute stress also increases H3K9me3 levels at transposable elements, which may be important in limiting potential genomic instability.45 Whole forebrain overexpression of Setdb1, a histone methyltransferase that catalyzes H3K9me3, reduced depression-like behavior,46 suggesting that the increase in H3K9me3 seen after acute stress may represent an adaptive response. However, experimental manipulations of such modifications are needed to interpret the functional consequences of these adaptations.

Aside from the few examples cited above, human postmortem studies examining histone modifications in depression are sparse. Elevated H3K4me3 levels were reported in the synapsin gene family, which was associated with higher expression of SYNAPSIN 2 in the PFC47 from depression, but not bipolar disorder cases, suggesting that these changes may be specific to major depression. Similarly, higher levels of H3K4me3 in the polyamine gene OAZ were associated with higher expression in the PFC of suicide completers.48 Decreased expression of the tyrosine receptor kinase B (TRKB), the receptor for BDNF in the PFC of depressed cases is also associated with an enrichment of H3K27me3 levels in the promoter of both TRKB and its astrocytic variant, TRKB.T1. 49,50 The elevated H3K27me3 levels are associated with changes in DNA methylation in the gene promoter, suggesting the presence of dual epigenetic control over TRKB.T1 expression. In addition, mice overexpressing TRKB.T1 are more susceptible to CSDS,51 which raises the possibility that epigenetic changes at the TRKB.T1 promoter could define vulnerability to chronic stress and the development of depression. Human postmortem studies also suggest that antidepressants promote open chromatin by decreasing H3K27me3 levels at BDNF promoters in the PFC of a depression sample,52 an effect supported by follow-up studies in peripheral blood revealing an inverse correlation between H3K27me3 levels and both BDNF IV expression levels and symptom severity.53

DNA methylation

A growing body of evidence supports a role for DNA methylation in mediating the impact of stress. Several of these alterations have been described in different animal models and more recently in human brains (Table II).

Table II. Effect of stress on DNA methylation and gene expression. Stress at different ages alters DNA methylation at specific genes within different brain regions, as well as proteins and enzymes related to DNa methylation. Green indicates increases associated with stress and blue indicates decreases with stress.

DNA methylation
Gene Gene region Age of stress Brain region or tissue/direction References
Sert (Slc6a4) promoter prenatal infant cord blood 84
hypothalamus 80
Crf promoter prenatal adult PVN (males) 55
PVN (females) 37
hypothalamus
Hsd11b2 promoter/exon prenatal placenta 75
exon 17 prenatal hypothalamus 80
Gr (Nr3c1) exon 1F prenatal infant cord blood 81-83
exon 1 postnatal HPC 28, 71, 86, 88-91
Grm1 promoter postnatal HPC 70
Gad1 promoter postnatal HPC 72
Esr1 promoter/exon postnatal hypothamus 87
Avp enchancer postnatal PVN 99
Bdnf exon IX promoter postnatal PFC 103, 104
Th promoter adolescent VTA 100
Gdnf promoter adult NAc 31
Modifier / enzyme Age of stress Region References
Dnmt1 prenatal PFC, HPC 75, 66
postnatal HPC 72
PFC, HPC 66
Dnmt3a prenatal Adult placenta 75
NAc 54
MeCp2 prenatal PFC, HPC 66
postnatal PVN 99

CSDS increases transcript levels of Dnmt3a in the NAc. Overexpressing Dnmt3a in NAc increases depression-like behavior after submaximal social defeat and intra-NAc infusion of a DNMT inhibitor, RG108, reverses defeat-induced social avoidance.54 DNMT3a activity is generally associated with transcriptional repression, suggesting that susceptibility may be associated with downregulation of transcriptional expression in the NAc. Genome-wide analysis of DNA methylation will be important in establishing the precise mechanisms of this epigenetic modification in defeat-induced susceptibility. DNA methylation in NAc may play a role in regulating Gdnf (glial cell-derived neurotrophic factor).31 Chronic mild stress induces depression-like behavior and increases Gdnf expression in the NAc of a stress-sensitive mouse line (BALB/C), but increases Gdnf expression in a more resilient line (C57BL/6). Although DNA methylation was increased at the Gdnf promoter in the NAc of both mouse lines, MECP2 was reported to complex with different proteins in the two lines and to thereby repress vs facilitate transcription. The authors suggest that these differences are mediated by differing patterns of methylation at the Gdnf promoter, although more work is required to confirm this speculation and elucidate the underlying mechanisms involved.

DNA methylation is implicated in the regulation of corticotropin-releasing factor (CRF) in the paraventricular nucleus of the hypothalamus (PVN)37,55 (see Figure 1 A). CRF is a critical regulator of the HPA-axis activation and other stress actions in the brain. CRF is increased in the PVN of mice that are susceptible to social defeat and this is accompanied by decreased DNA methylation at the Crf promoter. Both effects are reversed by chronic imipramine treatment.55 DNA methylation is also increased at the Crf promoter in the PVN of female rats subjected to chronic mild stress, suggesting that DNA methylation may play a role in determining sex-specific regulation of the HPA-axis function.37 Knockout of Mecp2 in PVN results in an exaggerated physiological stress response, however, the precise mechanism of MECP2 action remains to be fully elucidated.56

The studies elaborated above highlight epigenetic modifications targeted toward specific genes frequently associated with behavioral alterations. However, it is clear that stress effects are not restricted to a subset of candidate genes. Genome-wide studies mapping DNA methylation alterations induced by stress are lacking in animals. A series of recent genome-wide studies address this issue in humans in the context of early-life adversity, as discussed below. Furthermore, analysis of the PFC of psychotic and bipolar cases reported numerous sites of differential methylation that were enriched in various functions such as glutamatergic and GABAergic neurotransmission, brain development, and response to stress.57 Importantly, these studies compared different tissues (blood vs brain) and brain regions (HPC vs PFC) and globally suggest that stress-induced epigenetic adaptations are region specific and cell-type specific, which is consistent with the emerging principle of epigenetic heterogeneity across tissues58 and cell types.59,60

Epigenetics and depression: development vulnerability

It is well established that adults who experienced childhood stress or maltreatment are at a significantly greater lifetime risk for a range of mood or other disorders.61-64 Early-life adversity is modeled in animals using maternal separation (MS) or maternal deprivation. Natural variations in maternal care—maternal licking and grooming (LG)—likewise associate with differential stress responses among adult offspring.65 Research in the last decade suggests that epigenetic mechanisms partly mediate these effects by altering the expression of key genes in response to subsequent environmental perturbations, thereby enhancing vulnerability to psychiatric disorders. This section describes epigenetic alterations resulting from developmental (in utero, early postnatal, and periadolescent) exposures to stress, with distinct consequences for depression and related disorders.

Histone modifications

Very little is known about the prenatal effects of stress on histone modifications. Treatment with the nonspecific HDAC inhibitor valproic acid, which has many additional pharmacological actions, after prenatal stress was shown to ameliorate several behavioral measures,66 although more work is needed to elucidate the mechanisms responsible for these effects. More is known concerning the consequences of postnatal adversity in the form of maternal separation. In stress-susceptible BALB/C mice, MS reduces levels of Hdac1, -3, -7, -8, and -10 in the forebrain in adulthoods, and increases acetylation of histone H4.67 Adult male rats that underwent maternal separation had reduced levels of Hdac1 mRNA,68 consistent with the elevated H3 and H4 acetylation levels reported in the HPC of juvenile mice after maternal separation.69 Adolescent fluoxetine treatment potentiated effects of maternal separation, but coadministration of fluoxetine with an HDAC inhibitor ameliorated the effects of maternal separation.67 These findings suggest that adolescence may be a relevant period for pharmacological intervention and that it may be possible to erase at least some of the damaging epigenetic signature of early-life stress. Similarly, low maternal LG is associated with decreased HPC H3K9 acetylation at the glucocorticoid receptor (Gr) exon 17 promoter.28,70,71,72 These modifications are associated with the expression of depressive-like symptoms, reduced gene expression, and changes in DNA methylation spanning large regions of the genome.71 Treatment with the nonselective HDAC inhibitor trichostatin A, infused either intracerebroventricularly (ICV) or intra HPC, reversed both the molecular and behavioral effects of low maternal care.28,73

DNA methylation

Prenatal stress

Under normal conditions, the developing fetus is largely protected from maternal glucocorticoids by the enzyme 11β-hydroxysteroid dehydrogenase type 2 (11β-HSD2), which converts active glucocorticoids to their inactive form. However, 10% to 20% of maternal Cortisol is estimated to pass through the placenta to the fetus.74 Evidence suggests that maternal stress during pregnancy induces a hypermethylation of Hsd11b2 in the placenta and hypomethylation in the fetal hypothalamus75 that may consequently interfere with 11β-HSD2 enzymatic activity76,77 and induce heightened stress responses among offspring.78,79

Exposure to early prenatal stress is also associated with persistent changes in DNA methylation in the brains of adult mice80 Within the hypothalamus, early prenatal stress increases DNA methylation in Gr noncoding exon 17 and decreases DNA methylation in the Crf promoter.80 In humans, hypermethylation in the GR promoter 1F was likewise found in infant cord blood from mothers who experienced depression during the third trimester of pregnancy81,82 and from mothers reporting intimate partner violence during their pregnancy.83 These effects were not reversed by antidepressant treatment. Altered DNA methylation at the serotonin transporter (SERT, SLC6A4) in offspring cord blood is likewise associated with prenatal maternal depression.84 However, a recent study found no association between maternal depression and altered DNA methylation85 with modest methylation differences in two genes (TNFRSF21 and CHRNA2) associated with maternal antidepressant use.

In addition, elevated levels of Dnmt3a mRNA were found in the placenta of rats exposed to in utero stress, while elevated Dnmt1 mRNA was found within the cortex of offspring at gestational day 20.75 Mice exposed to prenatal stress had elevated levels of Dnmt3a and Dnmt1 mRNA in the PFC and HPC at birth, changes that persisted at postnatal day 7, 14, and 60.66 Furthermore, prenatal stress increased binding of DNMTl and MECP2, along with increased 5-methylcytosine and 5-hydroxymethylcytosine, within the Reelin and Gad67 promoters.66

Thus, existing evidence points to a role of prenatal stress in altering adult vulnerability to depression, in part via changes in DNA methylation. These alterations occur in specific genes and in specific brain regions, highlighting the difficulty in using peripheral tissues to predict functionally relevant changes within the brain. Genome-wide analyses should facilitate comparisons of potential epigenetic biomarkers in peripheral tissues with epigenetic and gene expression changes in specific brain regions. Even if changes that occur in the periphery are different from those in brain, it is conceivable that specific peripheral changes might predict central regulation; this is ultimately an empirical question. In addition, the inconsistencies reported among studies reflect the need for more precise tools to manipulate epigenetic gene regulation in functional preclinical studies.

Postnatal stress

Postnatal experience, particularly variations in the level and quality of maternal care, alters DNA methylation levels in genes thought to be critically involved in behavioral stress responses. For instance, the offspring of low-LG mothers, compared with those reared by high-LG mothers, exhibit robust DNA methylation changes that colocalized with chromatin modifications.86,87 This coincides with lower HPC expression of several variants of Gr, including the HPC specific variant 17.28,71 These alterations preferentially affect promoters, as evidenced in the cluster of protocadherin genes, and follow a nonrandom, discontinuous pattern across large genomic regions.86 However, it is still unclear how both DNA methylation and chromatin conformation are coregulated in the context of stress. Similar alterations have been reported in the HPC of suicide completers with a history of child abuse. Individuals with a history of abuse who committed suicide exhibit lower expression levels of the 1B, 1C, and 1F variants of Gr compared with nonabused suicides and controls.88,89 These changes coincide with altered DNA methylation within respective promoters that may interfere with transcription factor binding. Furthermore, similar alterations within Gr positively correlate with different features of child abuse in individuals with major depressive disorders.90,91 Importantly, these alterations appear to be specific to early-life adversity, as negative findings have been reported in the brains of depressed patients with no history of child abuse.92

Low maternal care in rats also reduces Gad1 and Grm1 expression in the HPC.70,72 These expression changes are accompanied by promoter hypermethylation and lower levels of H3K9Ac compared with pups raised by high-LG dams. As these findings have been associated with elevated levels of Dnmt1, it is believed that this hypermethylated state originates from the overactivity of different DNMTs. Indeed, human studies in schizophrenia and bipolar disorder reported correlations between promoter hypermethylation and lower expression of REELIN and GAD1 genes93-97 that are associated with altered levels of all three DNMTs (DNMT1, 3A, and 3B). 98

Exposure to early life stress likewise alters epigenetic gene regulation within the HPA axis and reward circuitry (Figure 1). Early maternal separation is associated with Avp overexpression and hypomethylation of an Avp enhancer region (rather than promoter) in the PVN of mice 6 weeks, 3 months, and 1 year after stress.99 Interestingly, gene expression, but not enhancer methylation changes were found within 10 days of stress, suggesting a dual regulatory mode depending on the timing of stress and highlighting the importance of investigating mechanisms beyond the traditional promoter-centric focus.

Stress also alters epigenetic marks beyond the early neonatal period. Three weeks of adolescent isolation induced depressive-like behaviors accompanied by a sustained (12 weeks) hypermethylation of the tyrosine hydroxylase (Th) gene promoter in the VTA of a Disc1 mutant mouse.100 Promoter hypermethylation was associated with both Disc1 mutations and adolescent isolation, and these effects were additive, although only in specific cell populations.100 Importantly, these changes were rescued by treatment with a GR antagonist, suggesting that GR-mediation of the stress response in this chronic adolescent stress paradigm underlies stress-induced alterations in the mesocortical reward pathway.100

DNA methylation is also altered by extreme childhood adversity in the form of abuse. Recently, hundreds of differentially methylated sites were identified in the HPC of suicide completers with a history of abuse (childhood sexual or physical) compared with healthy controls.101 Interestingly, DNA methylation levels in gene promoters were inversely correlated with gene expression at a genome-wide level, supporting the globally repressive role of DNA methylation at promoters, as reported by other groups.57,102 The impact of abuse becomes obvious when assessing the gene functions enriched with differential methylation: differential methylation in the abused suicide group is enriched in genes related to cellular plasticity, while learning and memory genes were particularly affected in suicide. This suggests that among depressed suicide completers, intense early-life adversity might induce distinct longlasting epigenetic alterations. Importantly, the changes in DNA methylation levels reported in these studies occurred in specific cell types as most of the methylation changes were found exclusively in neuronal DNA. Rodent studies have likewise found DNA methylation alterations subsequent to maternal abuse (tramping, dragging, rough treatment). Rat maternal maltreatment decreases expression of Bdnf transcripts III and IV in the HPC and PFC and is associated with chronic hypomethylation at the Bdnf exon IX gene promoter in the PFC.103,104 These effects were at least partially rescued by ICV treatment for 7 days with zebularine, a DNA methylation inhibitor.

These studies suggest that the experience of stress, whether during early-life or adulthood, has profound, genome-wide epigenetic consequences in the brain and peripheral tissues. Modifications of DNA methylation signatures in different regions of the brain are a plausible mechanism to explain how stress can induce enduring behavioral alterations. Peripheral tissues may provide biomarkers of stress exposure and vulnerability, although this remains to be determined. Future studies should investigate correlated regulation of genome-wide DNA methylation between blood and brain and across numerous brain regions in animal models to facilitate interpretation of peripheral-based assays in humans.

Limitations, future directions, and concluding remarks

A wealth of data from animal models and evolving evidence from postmortem human samples has established the important role of diverse epigenetic regulatory mechanisms in mediating the transcriptional abnormalities that contribute importantly to depression. However, as our understanding of epigenetic mechanisms improves, several new questions emerge. Understanding how diverse epigenetic mechanisms, including histone modifications, DNA methylation, and noncoding RNAs, interact to ultimately orchestrate the characteristic abnormalities in gene expression is critical. There is an urgent demand for increased specificity in studies attempting to understand the interplay of developmental stress, epigenetics, and adult neuropsychiatry disorders. It is also imperative that the field move beyond the study of individual candidate genes and make far greater use of genome-wide determinations of stress- and depression-associated epigenetic abnormalities. Indeed, recent efforts have begun to generate significant data sets profiling genome-wide alterations in DNA methylation and other epigenetic patterns after stress. The current challenge is to refine these analyses to understand how epigenetic regulation of multiple genes and gene networks in specific brain regions relate to depression-related outcomes, first in animal models and ultimately in the human brain.

Although existing studies document how early developmental stress leads to life-long changes in gene expression and behavior, to understand these altered trajectories fully, it will be important to profile the epigenetic landscape across development. For instance, certain epigenetic modifications could conceivably be altered proximal to the time of stress, whereas other epigenetic modifications may incubate over time, but may be more stably maintained. A more precise understanding of such temporal dynamics obtained from genome-wide studies will facilitate attempts to identify critical windows for therapeutic intervention.

Selected abbreviations and acronyms

CSDS

chronic social defeat stress

DNMT

DNA methyltransferase

HDAC

histone deacelytase

HPC

hippocampus

NAc

nucleus accumbens

PFC

prefrontal cortex

PTM

post-translational modification

Contributor Information

Rosemary C. Bagot, Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Benoit Labonté, Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Catherine J. Peña, 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.

REFERENCES

  • 1.Feng J., Nestler EJ. Epigenetic mechanisms of drug addiction. Curr Opin Neurobiol. 2013;23:521–528. doi: 10.1016/j.conb.2013.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Pena CJ., Bagot RC., Labonte B., Nestler EJ. Epigenetic signaling in psychiatric disorders. J Mol Biol. 2014 Apr 5. Epub ahead of print. doi: 10.1016/j.jmb.2014.03.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Bali P., Kenny PJ. MicroRNAs and drug addiction. Front Genet. 2013;4:43. doi: 10.3389/fgene.2013.00043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Robison AJ., Nestler EJ. Transcriptional and epigenetic mechanisms of addiction. Nat Rev Neurosci. 2011;12:623–637. doi: 10.1038/nrn3111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Mahgoub M., Monteggia LM. Epigenetics and psychiatry. Neurotherapeutics. 2013;10:734–741. doi: 10.1007/s13311-013-0213-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Hasan A., Mitchell A., Schneider A., Halene T., Akbarian S. Epigenetic dysregulation in schizophrenia: molecular and clinical aspects of histone deacetylase inhibitors. Eur Arch Psychiatry Clin Neurosci. 2013;263:273–284. doi: 10.1007/s00406-013-0395-2. [DOI] [PubMed] [Google Scholar]
  • 7.Dempster E., Viana J., Pidsley R., Mill J. Epigenetic studies of schizophrenia: progress, predicaments, and promises for the future. Schizophr Bull. 2013;39:11–16. doi: 10.1093/schbul/sbs139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Cisler JM., James GA., Tripathi S., et al Differential functional connectivity within an emotion regulation neural network among individuals resilient and susceptible to the depressogenic effects of early life stress. Psychol Med. 2013;43:507–518. doi: 10.1017/S0033291712001390. [DOI] [PubMed] [Google Scholar]
  • 9.Sequeira A., Klempan T., Canetti L., et al Patterns of gene expression in the limbic system of suicides with and without major depression. Mol Psychiatry. 2007;12:640–655. doi: 10.1038/sj.mp.4001969. [DOI] [PubMed] [Google Scholar]
  • 10.Duman RS., Aghajanian GK. Synaptic dysfunction in depression: potential therapeutic targets. Science. 2012;338:68–72. doi: 10.1126/science.1222939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.McEwen BS. Protection and damage from acute and chronic stress: allostasis and allostatic overload and relevance to the pathophysiology of psychiatric disorders. Ann NY Acad Sci. 2004;1032:1–7. doi: 10.1196/annals.1314.001. [DOI] [PubMed] [Google Scholar]
  • 12.Ressler KJ., Mayberg HS. Targeting abnormal neural circuits in mood and anxiety disorders: from the laboratory to the clinic. Nat Neurosci. 2007;10:1116–1124. doi: 10.1038/nn1944. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Jenuwein T., Allis CD. Translating the histone code. Science. 2001;293:1074–1080. doi: 10.1126/science.1063127. [DOI] [PubMed] [Google Scholar]
  • 14.Strahl BD., Allis CD. The language of covalent histone modifications. Nature. 2000;403:41–45. doi: 10.1038/47412. [DOI] [PubMed] [Google Scholar]
  • 15.Klose RJ., Bird AP. Genomic DNA methylation: the mark and its mediators. Trends Biochem Sci. 2006;31:89–97. doi: 10.1016/j.tibs.2005.12.008. [DOI] [PubMed] [Google Scholar]
  • 16.Maunakea AK., Nagarajan RP., Bilenky M., et al Conserved role of intragenic DNA methylation in regulating alternative promoters. Nature. 2010;466:253–257. doi: 10.1038/nature09165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Kriaucionis S., Heintz N. The nuclear DNA base 5-hydroxymethylcytosine is present in Purkinje neurons and the brain. Science. 2009;324:929–930. doi: 10.1126/science.1169786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Tahiliani M., Koh KP., Shen Y., et al Conversion of 5-methylcytosine to 5-hydroxymethylcytosine in mammalian DNA by MIL partner TET1. Science. 2009;324:930–935. doi: 10.1126/science.1170116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Feng J., Chang H., Li E., Fan G. Dynamic expression of de novo DNA methyltransferases Dnmt3a and Dnmt3b in the central nervous system. J Neurosci Res. 2005;79:734–746. doi: 10.1002/jnr.20404. [DOI] [PubMed] [Google Scholar]
  • 20.Ma DK., Guo JU., Ming GL., Song H. DNA excision repair proteins and Gadd45 as molecular players for active DNA demethylation. Cell Cycle. 2009;8:1526–1531. doi: 10.4161/cc.8.10.8500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Aapola U., Kawasaki K., Scott HS., et al Isolation and initial characterization of a novel zinc finger gene, DNMT3L, on 21q22.3, related to the cytosine-5-methyltransferase 3 gene family. Genomics. 2000;65:293–298. doi: 10.1006/geno.2000.6168. [DOI] [PubMed] [Google Scholar]
  • 22.Berton O., McClung CA., Dileone RJ., et al Essential role of BDNF in the mesolimbic dopamine pathway in social defeat stress. Science. 2006;311:864–868. doi: 10.1126/science.1120972. [DOI] [PubMed] [Google Scholar]
  • 23.Wallace DL., Han MH., Graham DL., et al CREB regulation of nucleus accumbens excitability mediates social isolation-induced behavioral deficits. Nat Neurosci. 2009;12:200–209. doi: 10.1038/nn.2257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Tsankova NM., Berton O., Renthal W., Kumar A., Neve RL., Nestler EJ. Sustained hippocampal chromatin regulation in a mouse model of depression and antidepressant action. Nat Neurosci. 2006;9:519–525. doi: 10.1038/nn1659. [DOI] [PubMed] [Google Scholar]
  • 25.Covington HE., Maze I., LaPlant QC., et al Antidepressant actions of histone deacetylase inhibitors. J Neurosci. 2009;29:11451–11460. doi: 10.1523/JNEUROSCI.1758-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Schroeder FA., Lin CL., Crusio WE., Akbarian S. Antidepressant-like effects of the histone deacetylase inhibitor, sodium butyrate, in the mouse. Biol Psychiatry. 2007;62:55–64. doi: 10.1016/j.biopsych.2006.06.036. [DOI] [PubMed] [Google Scholar]
  • 27.Semba J., Kuroda Y., Takahashi R. Potential antidepressant properties of subchronic GABA transaminase inhibitors in the forced swimming test in mice. Neuropsychobiology. 1989;21:152–156. doi: 10.1159/000118569. [DOI] [PubMed] [Google Scholar]
  • 28.Weaver IC., Cervoni N., Champagne FA., et al Epigenetic programming by maternal behavior. Nat Neurosci. 2004;7:847–854. doi: 10.1038/nn1276. [DOI] [PubMed] [Google Scholar]
  • 29.Yamawaki Y., Fuchikami M., Morinobu S., Segawa M., Matsutnoto T., Yamawaki S. Antidepressant-like effect of sodium butyrate (HDAC inhibitor) and its molecular mechanism of action in the rat hippocampus. World J Biol Psychiatry. 2012;13:458–467. doi: 10.3109/15622975.2011.585663. [DOI] [PubMed] [Google Scholar]
  • 30.Zhu H., Huang Q., Xu H., Niu L., Zhou JN. Antidepressant-like effects of sodium butyrate in combination with estrogen in rat forced swimming test: involvement of 5-HT(1A) receptors. Behav Brain Res. 2009;196:200–206. doi: 10.1016/j.bbr.2008.08.039. [DOI] [PubMed] [Google Scholar]
  • 31.Uchida S., Hara K., Kobayashi A., et al Epigenetic status of Gdnf in the ventral striatum determines susceptibility and adaptation to daily stressful events. Neuron. 2011;69:359–372. doi: 10.1016/j.neuron.2010.12.023. [DOI] [PubMed] [Google Scholar]
  • 32.Renthal W., Maze I., Krishnan V., et al Histone Deacetylase 5 epigenetically controls behavioral adaptations to chronic emotional stimuli. Neuron. 2007;56:517–529. doi: 10.1016/j.neuron.2007.09.032. [DOI] [PubMed] [Google Scholar]
  • 33.Covington HE., Maze I., Sun H., et al A role for repressive histone methylation in cocaine-induced vulnerability to stress. Neuron. 2011;71:656–670. doi: 10.1016/j.neuron.2011.06.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Mollis F., Duclot F., Gunjan A., Kabbaj M. Individual differences in the effect of social defeat on anhedonia and histone acetylation in the rat hippocampus. Norm Behav. 2011;59:331–337. doi: 10.1016/j.yhbeh.2010.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Tsankova NM., Kumar A., Nestler EJ. Histone modifications at gene promoter regions in rat hippocampus after acute and chronic electroconvulsive seizures. J Neurosci. 2004;24:5603–5610. doi: 10.1523/JNEUROSCI.0589-04.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Covington HE 3rd, Vialou VF., Laplant Q., Ohnishi YN., Nestler EJ. Hippocampal-dependent antidepressant-like activity of histone deacetylase inhibition. Neurosci Lett. 2011;493:122–126. doi: 10.1016/j.neulet.2011.02.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Sterrenburg L., Gaszner B., Boerrigter J., et al Chronic stress induces sex-specific alterations in methylation and expression of corticotropinreleasing factor gene in the rat. PLoS One. 2011;6:e28–128. doi: 10.1371/journal.pone.0028128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Hollis F., Wang H., Dietz D., Gunjan A., Kabbaj M. The effects of repeated social defeat on long-term depressive-like behavior and short-term histone modifications in the hippocampus in male Sprague-Dawley rats. Psychopharmacology. 2010;211:69–77. doi: 10.1007/s00213-010-1869-9. [DOI] [PubMed] [Google Scholar]
  • 39.Hinwood M., Tynan RJ., Day TA., Walker FR. Repeated social defeat selectively increases SFosB expression and histone H3 acetylation in the infralimbic medial prefrontal cortex. Cereb Cortex. 2011;21:262–271. doi: 10.1093/cercor/bhq080. [DOI] [PubMed] [Google Scholar]
  • 40.Kenworthy CA., Sengupta A., Luz SM., et al Social defeat induces changes in histone acetylation and expression of histone modifying enzymes in the ventral hippocampus, prefrontal cortex, and dorsal raphe nucleus. Neuroscience. 2014;264:88–98. doi: 10.1016/j.neuroscience.2013.01.024. [DOI] [PubMed] [Google Scholar]
  • 41.Robison AJ., Vialou V., Sun HS., et al Fluoxetine epigenetically alters the CaMKIIa promoter in nucleus accumbens to regulate AFosB binding and antidepressant effects. Neuropsychopharmacology. 2014;39:1178–1186. doi: 10.1038/npp.2013.319. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Wilkinson MB., Xiao G., Kumar A., et al Imipramine treatment and resiliency exhibit similar chromatin regulation in the mouse nucleus accumbens in depression models. J Neurosci. 2009;29:7820–7832. doi: 10.1523/JNEUROSCI.0932-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Golden SA., Christoffel DJ., Heshmati M., et al Epigenetic regulation of RAC1 induces synaptic remodeling in stress disorders and depression. Nat Med. 2013;19:337–344. doi: 10.1038/nm.3090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Hunter RG., McCarthy KJ., Milne TA., Pfaff DW., Mcewen BS. Regulation of hippocampal H3 histone methylation by acute and chronic stress. Proc Natl Acad Sci U S A. 2009;106:20912–20917. doi: 10.1073/pnas.0911143106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Hunter RG., Murakami G., Dewell S., et al Acute stress and hippocampal histone H3 lysine 9 trimethylation, a retrotransposon silencing response. Proc Natl Acad Sci U S A. 2012;109:17657–17662. doi: 10.1073/pnas.1215810109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Jiang Y., Matevossian A., Huang HS., Straubhaar J., Akbarian S. Isolation of neuronal chromatin from brain tissue. BMC Neurosci. 2008;9:42. doi: 10.1186/1471-2202-9-42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Cruceanu C., Alda M., Nagy C., Freemantle E., Rouleau GA., Turecki G. H3K4 tri-methylation in synapsin genes leads to different expression patterns in bipolar disorder and major depression. Int J Neuropsychopharmacol. 2013;16:289–299. doi: 10.1017/S1461145712000363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Fiori LM., Gross JA., Turecki G. Effects of histone modifications on increased expression of polyamine biosynthetic genes in suicide. Int J Neuropsychopharmacol. 2012;15:1161–1166. doi: 10.1017/S1461145711001520. [DOI] [PubMed] [Google Scholar]
  • 49.Ernst C., Chen ES., Turecki G. Histone methylation and decreased expression of TrkB.TI in orbital frontal cortex of suicide completers. Mol Psychiatry. 2009;14:830–832. doi: 10.1038/mp.2009.35. [DOI] [PubMed] [Google Scholar]
  • 50.Ernst C., Deleva V., Deng X., et al Alternative splicing, methylation state, and expression profile of tropomyosin-related kinase B in the frontal cortex of suicide completers. Arch Gen Psychiatry. 2009;66:22–32. doi: 10.1001/archpsyc.66.1.22. [DOI] [PubMed] [Google Scholar]
  • 51.Razzoli M., Domenici E., Carboni L., et al A role for BDNF/TrkB signaling in behavioral and physiological consequences of social defeat stress. Genes Brain Behav. 2011;10:424–433. doi: 10.1111/j.1601-183X.2011.00681.x. [DOI] [PubMed] [Google Scholar]
  • 52.Chen ES., Ernst C., Turecki G. The epigenetic effects of antidepressant treatment on human prefrontal cortex BDNF expression. Int J Neuropsychopharmacol. 2011;14:427–429. doi: 10.1017/S1461145710001422. [DOI] [PubMed] [Google Scholar]
  • 53.Lopez JP., Mamdani F., Labonte B., et al Epigenetic regulation of BDNF expression according to antidepressant response. Mol Psychiatry. 2013;18:398–399. doi: 10.1038/mp.2012.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.LaPlant Q., Vialou V., Covington HE., et al Dnmt3a regulates emotional behavior and spine plasticity in the nucleus accumbens. Nat Neurosci. 2010;13:1137–1143. doi: 10.1038/nn.2619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Elliott EE., Ezra-Nevo GG., Regev LL., Neufeld-Cohen AA., Chen AA. Resilience to social stress coincides with functional DNA methylation of the Crf gene in adult mice. Nat Neurosci. 2010;13:1351–1353. doi: 10.1038/nn.2642. [DOI] [PubMed] [Google Scholar]
  • 56.Fyffe SL., Neul JL., Samaco RC., et al Deletion of Mecp2 inSitnl-expressing neurons reveals a critical role for MeCP2 in feeding behavior, aggression, and the response to stress. Neuron. 2008;59:947–958. doi: 10.1016/j.neuron.2008.07.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Mill J., Tang T., Kaminsky Z., et al Epigenomic profiling reveals DNAmethylation changes associated with major psychosis. Am J Hum Genet. 2008;82:696–711. doi: 10.1016/j.ajhg.2008.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Ladd-Acosta C., Pevsner J., Sabunciyan S., et al DNA methylation signatures within the human brain. Am J Hum Genet. 2007;81:1304–1315. doi: 10.1086/524110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Deaton AM., Webb S., Kerr AR., et al Cell type-specific DNA methylation at intragenic CpG islands in the immune system. Genome Res. 2011;21:1074–1086. doi: 10.1101/gr.118703.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Iwamoto K., Bundo M., Ueda J., et al Neurons show distinctive DNA methylation profile and higher interindividual variations compared with non-neurons. Genome. Res. 2011;21:688–696. doi: 10.1101/gr.112755.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Heim C., Nemeroff CB. The role of childhood trauma in the neurobiology of mood and anxiety disorders: preclinical and clinical studies. Biol Psychiatry. 2001;49:1023–1039. doi: 10.1016/s0006-3223(01)01157-x. [DOI] [PubMed] [Google Scholar]
  • 62.Holmes SJ., Robins LN. The influence of childhood disciplinary experience on the development of alcoholism and depression. J Child Psychol Psychiatry. 1987;28:399–415. doi: 10.1111/j.1469-7610.1987.tb01762.x. [DOI] [PubMed] [Google Scholar]
  • 63.Enoch MA. The role of early life stress as a predictor for alcohol and drug dependence. Psychopharmacology. 2011;214:17–31. doi: 10.1007/s00213-010-1916-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Riggs S., Alario AJ. Adolescent substance use and the role of the primary care provider. R I Med J. 1990;73:253–257. [PubMed] [Google Scholar]
  • 65.Meaney MJ. Maternal care, gene expression, and the transmission of individual differences in stress reactivity across generations. Annu Rev Neurosci. 2001;24:1161–1192. doi: 10.1146/annurev.neuro.24.1.1161. [DOI] [PubMed] [Google Scholar]
  • 66.Matrisciano F., Tueting P., Dalai I., et al Epigenetic modifications of GABAergic interneurons are associated with the schizophrenia-like phenotype induced by prenatal stress in mice. Neuropharmacology. 2013;68:184–194. doi: 10.1016/j.neuropharm.2012.04.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Levine A., Worrell TR., Zimnisky R., Schmauss C. Early life stress triggers sustained changes in histone deacetylase expression and histone H4 modifications that alter responsiveness to adolescent antidepressant treatment. Neurobiol Dis. 2012;45:488–498. doi: 10.1016/j.nbd.2011.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Blaze J., Roth TL. Exposure to caregiver maltreatment alters expression levels of epigenetic regulators in the medial prefrontal cortex. Int J Dev Neurosci. 2013;31:804–810. doi: 10.1016/j.ijdevneu.2013.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Xie L., Korkmaz KS., Braun K., Bock J. Early life stress-induced histone acetylations correlate with activation of the synaptic plasticity genes Arc and Egr1 in the mouse hippocampus. J Neurochem. 2013;125:457–464. doi: 10.1111/jnc.12210. [DOI] [PubMed] [Google Scholar]
  • 70.Bagot RC., Zhang TY., Wen X., et al Variations in postnatal maternal care and the epigenetic regulation of metabotropic glutamate receptor 1 expression and hippocampal function in the rat. Proc Natl Acad Sci U S A. 2012;109:17200–17207. doi: 10.1073/pnas.1204599109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.McGowan PO., Suderman M., Sasaki A., et al Broad epigenetic signature of maternal care in the brain of adult rats. PLoS One. 2011;6:e14739. doi: 10.1371/journal.pone.0014739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Zhang TY., Hellstrom IC., Bagot RC., Wen X., Diorio J., Meaney MJ. Maternal care and DNA methylation of a glutamic acid decarboxylase 1 promoter in rat hippocampus. J Neurosci. 2010;30:13130–13137. doi: 10.1523/JNEUROSCI.1039-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Weaver IC., Meaney MJ., Szyf M. Maternal care effects on the hippocampal transcriptome and anxiety-mediated behaviors in the offspring that are reversible in adulthood. Proc Natl Acad Sci U S A. 2006;103:3480–3485. doi: 10.1073/pnas.0507526103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Gitau R., Cameron A., Fisk NM., Glover V. Fetal exposure to maternal Cortisol. Lancet. 1998;352:707–708. doi: 10.1016/S0140-6736(05)60824-0. [DOI] [PubMed] [Google Scholar]
  • 75.Jensen Peña C., Monk C., Champagne FA. Epigenetic effects of prenatal stress on 11[J-hydroxysteroid dehydrogenase-2 in the placenta and fetal brain. PLoS One. 2012;7:e39791–e39791. doi: 10.1371/journal.pone.0039791. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Mairesse J., Lesage J., Breton C., et al Maternal stress alters endocrine function of the feto-placental unit in rats. Am J Physiol Endo Metab. 2007;292:E1526–E1533. doi: 10.1152/ajpendo.00574.2006. [DOI] [PubMed] [Google Scholar]
  • 77.O'Donnell KJ., Bugge Jensen A., Freeman L., Khalife N., O'Connor TG., Glover V. Maternal prenatal anxiety and downregulation of placental 11P-HSD2. Psychoneuroendocrinology. 2012;37:818–826. doi: 10.1016/j.psyneuen.2011.09.014. [DOI] [PubMed] [Google Scholar]
  • 78.Holmes MC., Abrahamsen CT., French KL., Paterson JM., Mullins JJ., Seckl JR. The mother or the fetus? 11beta-hydroxysteroid dehydrogenase type 2 null mice provide evidence for direct fetal programming of behavior by endogenous glucocorticoids. J Neurosci. 2006;26:3840–3844. doi: 10.1523/JNEUROSCI.4464-05.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Welberg LA., Seckl JR., Holmes MC. Inhibition of 11beta-hydroxysteroid dehydrogenase, the foeto-placental barrier to maternal glucocorticoids, permanently programs amygdala GR mRNA expression and anxietylike behaviour in the offspring. Eur J Neurosci. 2000;12:1047–1054. doi: 10.1046/j.1460-9568.2000.00958.x. [DOI] [PubMed] [Google Scholar]
  • 80.Mueller BR., Bale TL. Sex-specific programming of offspring emotionality after stress early in pregnancy. J Neurosci. 2008;28:9055–9065. doi: 10.1523/JNEUROSCI.1424-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Oberlander TF., Weinberg J., Papsdorf M., Grunau R., Misri S., Devlin AM. Prenatal exposure to maternal depression, neonatal methylation of human glucocorticoid receptor gene (NR3C1) and infant Cortisol stress responses. Epigenetics. 2008;3:97–106. doi: 10.4161/epi.3.2.6034. [DOI] [PubMed] [Google Scholar]
  • 82.Hompes T., Izzi B., Gellens E., et al Investigating the influence of maternal Cortisol and emotional state during pregnancy on the DNA methylation status of the glucocorticoid receptor gene (NR3C1) promoter region in cord blood. J Psychiatr Res. 2013;47:880–891. doi: 10.1016/j.jpsychires.2013.03.009. [DOI] [PubMed] [Google Scholar]
  • 83.Radtke KM., Ruf M., Gunter HM., et al Transgenerational impact of intimate partner violence on methylation in the promoter of the glucocorticoid receptor. Transl Psychiatry. 2011;1:e21. doi: 10.1038/tp.2011.21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Devlin AM., Brain U., Austin J., Oberlander TF. Prenatal exposure to maternal depressed mood and the MTHFR C677T variant affect SLC6A4 methylation in infants at birth. PLoS One. 2010;5:e12201. doi: 10.1371/journal.pone.0012201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Schroeder J., Smith A., Brennan P., et al DNA methylation in neonates born to women receiving psychiatric care. Epigenetics. 2012;7:409–414. doi: 10.4161/epi.19551. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Suderman M., McGowan PO., Sasaki A., et al Conserved epigenetic sensitivity to early life experience in the rat and human hippocampus. Proc Natl Acad Sci U S A. 2012;109:17266–17272. doi: 10.1073/pnas.1121260109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Peña CJ., Neugut YD., Champagne FA. Developmental timing of the effects of maternal care on gene expression and epigenetic regulation of hormone receptor levels in female rats. Endocrinology. 2013;154:4340–4351. doi: 10.1210/en.2013-1595. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Labonte B., Yerko V., Gross J., et al Differential glucocorticoid receptor exon 1(B), 1(C), and 1(H) expression and methylation in suicide completers with a history of childhood abuse. Biol Psychiatry. 2012;72:41–48. doi: 10.1016/j.biopsych.2012.01.034. [DOI] [PubMed] [Google Scholar]
  • 89.McGowan PO., Sasaki A., D'Alessio AC., et al Epigenetic regulation of the glucocorticoid receptor in human brain associates with childhood abuse. Nat Neurosci. 2009;12:342–348. doi: 10.1038/nn.2270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Perroud N., Paoloni-Giacobino A., Prada P., et al Increased methylation of glucocorticoid receptor gene (NR3C1) in adults with a history of childhood maltreatment: a link with the severity and type of trauma. Transl Psychiatry. 2011;1:e59. doi: 10.1038/tp.2011.60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Tyrka AR., Price LH., Marsit C., Walters OC., Carpenter LL. Childhood adversity and epigenetic modulation of the leukocyte glucocorticoid receptor: preliminary findings in healthy adults. PLoS One. 2012;7:e30148. doi: 10.1371/journal.pone.0030148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Alt SR., Turner JD., Klok MD., et al Differential expression of glucocorticoid receptor transcripts in major depressive disorder is not epigenetically programmed. Psychoneuroendocrinology. 2010;35:544–556. doi: 10.1016/j.psyneuen.2009.09.001. [DOI] [PubMed] [Google Scholar]
  • 93.Guidotti A., Auta J., Davis JM., et al Decrease in reelin and glutamic acid decarboxylase67 (GAD67) expression in schizophrenia and bipolar disorder: a postmortem brain study. Arch Gen Psychiatry. 2000;57:1061–1069. doi: 10.1001/archpsyc.57.11.1061. [DOI] [PubMed] [Google Scholar]
  • 94.Veldic M., Caruncho HJ., Liu WS., et al DNA-methyltransferase 1 mRNA is selectively overexpressed in telencephalic GABAergic interneurons of schizophrenia brains. Proc Natl Acad Sci U S A. 2004;101:348–353. doi: 10.1073/pnas.2637013100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Kundakovic M., Chen Y., Costa E., Grayson DR. DNA methyltransferase inhibitors coordinately induce expression of the human reelin and glutamic acid decarboxylase 67 genes. Mol Pharmacol. 2007;71:644–653. doi: 10.1124/mol.106.030635. [DOI] [PubMed] [Google Scholar]
  • 96.Grayson DR., Jia X., Chen Y., et al Reelin promoter hypermethylation in schizophrenia. Proc Natl Acad Sci U S A. 2005;102:9341–9346. doi: 10.1073/pnas.0503736102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Tamura Y., Kunugi H., Ohashi J., Hohjoh H. Epigenetic aberration of the human REELIN gene in psychiatric disorders. Mol Psychiatry. 2007;12:593–600. doi: 10.1038/sj.mp.4002014. [DOI] [PubMed] [Google Scholar]
  • 98.Poulter MO., Du L., Weaver IC., et al GABAA receptor promoter hypermethylation in suicide brain: implications for the involvement of epigenetic processes. Biol Psychiatry. 2008;64:645–652. doi: 10.1016/j.biopsych.2008.05.028. [DOI] [PubMed] [Google Scholar]
  • 99.Murgatroyd C., Patchev AV., Wu Y., et al Dynamic DNA methylation programs persistent adverse effects of early-life stress. Nat Neurosci. 2009;12:1559–1566. doi: 10.1038/nn.2436. [DOI] [PubMed] [Google Scholar]
  • 100.Niwa M., Jaaro-Peled H., Tankou S., et al Adolescent stress-induced epigenetic control of dopaminergic neurons via glucocorticoids. Science. 2013;339:335–339. doi: 10.1126/science.1226931. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Labonte B., Suderman M., Maussion G., et al Genome-wide epigenetic regulation by early-life trauma. Arch Gen Psychiatry. 2012;69:722–731. doi: 10.1001/archgenpsychiatry.2011.2287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Uddin M., Aiello AE., Wildman DE., et al Epigenetic and immune function profiles associated with posttraumatic stress disorder. Proc Natl Acad Sci U S A. 2010;107:9470–9475. doi: 10.1073/pnas.0910794107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Roth TL., Lubin FD., Funk AJ., Sweatt JD. Lasting epigenetic influence of early-life adversity on the BDNF gene. Biol Psychiatry. 2009;65:760–769. doi: 10.1016/j.biopsych.2008.11.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Roth TL., Zoladz PR., Sweatt JD., Diamond DM. Epigenetic modification of hippocampal Bdnf DNA in adult rats in an animal model of posttraumatic stress disorder. J Psychiatr Res. 2011;45:919–926. doi: 10.1016/j.jpsychires.2011.01.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Sun H., Kennedy PJ., Nestler EJ. Epigenetics of the depressed brain: role of histone acetylation and methylation. Neuropsychopharmacology. 2013;38:124–137. doi: 10.1038/npp.2012.73. [DOI] [PMC free article] [PubMed] [Google Scholar]

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