Psychiatric diseases, including schizophrenia, bipolar disorder and major depression, are projected to lead global disease burden within the next decade. Pharmacotherapy, the primary – albeit often ineffective – treatment method, has remained largely unchanged over the past 50 years, highlighting the need for novel target discovery and improved mechanism-based treatments. Here, we examined in wild type mice the impact of chronic, systemic treatment with Compound 60 (Cpd-60), a slow-binding, benzamide-based inhibitor of the class I histone deacetylase (HDAC) family members, HDAC1 and HDAC2, in mood-related behavioral assays responsive to clinically effective drugs. Cpd-60 treatment for one week was associated with attenuated locomotor activity following acute amphetamine challenge. Further, treated mice demonstrated decreased immobility in the forced swim test. These changes are consistent with established effects of clinical mood stabilizers and antidepressants, respectively. Whole-genome expression profiling of specific brain regions (prefrontal cortex, nucleus accumbens, hippocampus) from mice treated with Cpd-60 identified gene expression changes, including a small subset of transcripts that significantly overlapped those previously reported in lithium-treated mice. HDAC inhibition in brain was confirmed by increased histone acetylation both globally and, using chromatin immunoprecipitation, at the promoter regions of upregulated transcripts, a finding consistent with in vivo engagement of HDAC targets. In contrast, treatment with suberoylanilide hydroxamic acid (SAHA), a non-selective fast-binding, hydroxamic acid HDAC 1/2/3/6 inhibitor, was sufficient to increase histone acetylation in brain, but did not alter mood-related behaviors and had dissimilar transcriptional regulatory effects compared to Cpd-60. These results provide evidence that selective inhibition of HDAC1 and HDAC2 in brain may provide an epigenetic-based target for developing improved treatments for mood disorders and other brain disorders with altered chromatin-mediated neuroplasticity.
Citation: Schroeder FA, Lewis MC, Fass DM, Wagner FF, Zhang Y-L, Hennig KM, et al. (2013) A Selective HDAC 1/2 Inhibitor Modulates Chromatin and Gene Expression in Brain and Alters Mouse Behavior in Two Mood-Related Tests. PLoS ONE8(8): e71323. https://doi.org/10.1371/journal.pone.0071323
Editor: Judith Homberg, Radboud University, The Netherlands
Received: April 2, 2013; Accepted: June 27, 2013; Published: August 14, 2013
Copyright: © 2013 Schroeder et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the Stanley Medical Research Institute (T.L.P. and S.J.H.) and the NIH (R01DA028301 to S.J.H. and R01DA030321 to S.J.H. and J.M.H.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Epigenetic mechanisms involving chromatin-modifying enzymes and remodeling factors are increasingly implicated in the pathophysiology of mood (affective) disorders including depression and bipolar disorder, as well as in other psychiatric diseases such as schizophrenia . Neuroplasticity – the capacity for changes in brain function – is relevant to understanding both disease states and effective treatment mechanisms. These changes involve dynamic modulation of chromatin– DNA packaged around octameric cores of histone proteins H2A, H2B, H3 and H4 - which is subject to diverse post-translational modifications. Acetylation of histone amino-terminal tails is associated with an open chromatin structure that facilitates the binding of transcriptional activating protein complexes that modulate gene expression  and alter neural circuit function. Histone deacetylase (HDAC) enzymes, including subtypes comprising class I (HDAC1, 2, 3 and 8) and class II (HDAC 4–7, 9 and 10), control the deacetylation of histone and non-histone proteins. These enzymes are therefore important mediators in epigenetic regulation of gene expression that may contribute to mechanisms underlying psychopathology and treatment.
Recent findings indicate that the activity of specific class I and II HDAC enzymes may be altered in psychiatric disease and may play a role in effective clinical treatments.
Postmortem studies have revealed altered mRNA and protein expression of HDAC1, 2 and 5 among patients with major depressive disorder, schizophrenia and bipolar disorder –. Valproate, a drug widely used in bipolar disorder treatment, functions in part as an inhibitor of all class I HDACs , . Moreover, lithium therapy, a mainstay bipolar disorder treatment and antidepressant adjunct, as well as the typical antipsychotic, haloperidol, were shown to increase histone acetylation in cellular and animal models –. Further, HDAC2 was recently demonstrated to be a key regulator of atypical antipsychotic response . Thus, investigating altered histone acetylation in the context of mood and psychotic disorders may provide insight toward critical factors regulating plasticity as well as novel therapeutic targets based on epigenetic mechanisms.
Animal model research further supports the link between HDAC activity and mood disorders. Electroconvulsive therapy, used in treatment-resistant depression, was shown to alter histone H3 and H4 acetylation at the promoter regions of actively transcribed genes in rat hippocampus . Additional rodent behavioral data demonstrate antidepressant-like effects of the class I HDAC inhibitor, sodium butyrate , the HDAC1/2/3 inhibitor, MS-275 , as well as reduced psychostimulant-induced hyperactivity by valproate and sodium butyrate , . However, these reports used weak inhibitors with low selectivity for different class I HDAC subtypes that may engage non-HDAC targets at high physiological concentrations (millimolar range). Thus, the class I HDAC subtypes critical to the observed effects remain unclear.
To further investigate the mechanism of HDAC inhibition in the underpinnings and treatment of mood disorders, we identified from the literature Cpd-60 (Compound 19, also published as Compound 60), a benzamide-based, subclass selective inhibitor of HDAC1 and HDAC2 , . Cpd-60 has structural features distinct from previously studied compounds that make it an excellent probe compound. We demonstrate here, for the first time, that chronic treatment of mice with Cpd-60 results in substantial effects in two behavioral tests with predictive validity for mood stabilizer and antidepressant medications. Cpd-60 treatment was associated with significant gene expression changes in prefrontal cortex (PFC), nucleus accumbens (NAc) and hippocampus (HIP), brain regions involved in the regulation of mood , , through an HDAC inhibition-mediated mechanism evidenced by increased histone acetylation at gene promoter regions. Interestingly, a small subset of gene expression changes induced by Cpd-60 significantly overlap with those induced by lithium, suggesting common mechanistic elements that may play a role in altering behavior. Together, this study demonstrates that selective inhibition of HDAC1 and HDAC2 in mice modulates transcription in mood circuits and alters relevant behaviors, and may be a viable mechanism for the development of clinical mood disorder treatments.
Materials and Methods
Male 11 wk old C57BL/6 mice were utilized for pharmacokinetic, behavioral and biochemical analyses. One female baboon (Papio Anubis) was used to determine brain uptake and pharmacokinetics of Cpd-60. Ethics Statement: All animal work was approved conduced under strict accordance to the ethical standards set by the Massachusetts Institute of Technology Institutional Animal Care and Use Committee (IACUC) and the Committee on Animal Care (mouse experiments, internal protocol #0410-03-013) and by the Brookhaven National Laboratory IACUC (baboon experiment, protocol #102). Non-human primate housing conditions and feeding regimens were coordinated by the professional investigative staff at the Brookhaven Laboratory Animal Facility which included social housing in cages appropriate for the physical and behavioral health of the individual animal. Animals were fed a 3x per day with additional nutritional supplements provided as prescribed by the attending veterinarian. Environmental enrichment included audio, video and tactile elements (e.g. listening to the radio, watching television, playing with toys and human interaction) and were provided on a daily basis to promote psychological well-being. All procedures were performed without compromising animal welfare and all efforts were made to minimize suffering including adequate use of anesthesia (ketamine, isoflurane) in the baboon imaging experiment. The baboon was not sacrificed following the study and further effort was taken to minimize suffering by allowing an interval of at least one month between subsequent imaging studies in the same animal.
Pharmacokinetic Profile Determination
Mice were treated (i.p.) with Cpd-60 (45 mg/kg) or SAHA (25 mg/kg) in vehicle (10% DMSO, 45% PEG400, 45% saline) and blood collected by retro-orbital puncture into heparinized tubes at pre-treatment, and 0.083, 0.25, 0.5, 1, 2, 4, 6, 8 and 24 hr post-treatment (n = 3 mice/group), followed by immediate sacrifice and brain harvest. Plasma, brain samples, and dose formulations, were analyzed as previously described  using high performance liquid chromatography/mass spectrometry. Data acquisition and control system were created using Analyst 1.4 software (ABI Inc, Canada).
CNS Target Binding Assays
Cpd-60 was submitted to a panel of 80 binding assays for common transmembrane and soluble receptors, ion channels and monoamine transporters in the central nervous system (CNS) (High-Throughput Profile P-3, Cerep, France). Cpd-60 (10 µM) was assayed in duplicate concurrently with an assay-specific reference compound (Table S1).
HDAC activity was measured in vitro using recombinant human HDACs 1-9 (BPS Bioscience) using the Caliper EZ reader II system. HDAC inhibition assays: Purified HDACs were incubated with a FAM-labeled fluorescent substrate and test compound at room temperature for 60 min or, for HDAC 1-3, 180 min to control for effects of slow-binding inhibitors on HDAC activity. Fluorescence intensity of electrophoretically separated substrate and product was measured and the percent inhibition plotted against compound concentration. IC50 values were determined by curve fitting with Origin 8.0 software . Binding kinetics: Binding kinetics of Cpd-60 and SAHA with HDACs 1, 2, and 3 were evaluated by progression curves in inhibition and dilution experiments as previously described .
Mouse Primary Neuronal Histone Acetylation Assays
Mouse primary neurons cultured 13 days in vitro were treated with HDAC inhibitors for 24 hr, fixed with 4% formaldehyde, and stained with an anti-acetylated H4 lysine 12 antibody and an Alexa-488 conjugated secondary antibody, with nuclei identified using a Hoechst stain. Cells with histone acetylation signals above an intensity threshold of >99.5% were scored as “bright green cells” and expressed as a percentage normalized to DMSO controls. EC50 values were determined from curve fitting using GraphPad Prism v5 software (GraphPad Software, Inc., USA).
Cpd-60 (45 mg/kg, 7.5 mL/kg, i.p.) and SAHA (25 mg/kg, 5 mL/kg, i.p.) were prepared fresh for daily injection in vehicle (10% DMSO, 45% PEG-400, 45% saline). D-amphetamine (Sigma-Aldrich) was prepared in saline and administered via i.p. injection (3.5 mg/kg, 5 mL/kg).
Compounds were administered between 9 am and 1 pm for 7 days prior to the start of behavioral testing, and after completion of each daily session during behavioral testing. Testing was performed 18–24 hr after the previous treatment to avoid transient effects. Amphetamine-induced hyperlocomotion (AIH) was performed as previously described  on days 7–9 of treatment with activity measured before and after amphetamine challenge (AccuScan Instruments, Inc.). Forced-swim test (FST) behavior was performed as previously described  on day 10 of treatment and total time spent immobile during a 6 min session was scored automatically (Ethovision; Noldus). Treatment effects were analyzed by one way analysis of variance (ANOVA) with post hoc analysis using Least Squared Differences test (SPSS v18.0 IBM).
Brain Tissue Collection
Behaviorally naïve mice were treated daily (i.p.) with Cpd-60 (45 mg/kg), SAHA (25 mg/kg) or vehicle. One hour after the last of 10 treatments, harvested brains were snap frozen and stored at −80°C until use. Independent sets of treated brains were used for western blotting, transcriptional analysis, and chromatin immunoprecipitation, as detailed below.
Frozen mouse brains (n = 6/treatment group) were rapidly dissected at 4°C to isolate frontal cortex (including PFC), ventral striatum (including NAc), and HIP for protein extraction. Human Embryonic Kidney (HEK) 293 cells were treated with 20 µM Cpd-60, SAHA or DMSO for 24 hr ‘constant’ treatment, followed by media change and 6 hr incubation (‘washout’), and cells collected for protein extraction. Solutions for protein extraction were supplemented with 5 mM sodium butyrate to suppress residual HDAC activity. Western blotting was performed using standard protocols and commercially available antibodies (Millipore) raised against acetylated histone H2B (07-373), H3K9 (07-352), and H4K12 (04-119) with normalization to total levels of histone H3 (07-690) or histone H4 (04-858). Densitometric quantification was performed using Image J software (NIH) and statistical comparison to vehicle-treated controls by two-tailed t-test.
RNA Isolation and Transcriptional Analysis
Frozen mouse brains (n = 6/treatment group) were rapidly dissected at 4°C to isolate medial prefrontal cortex (PFC), nucleus accumbens (NAc) and hippocampus (HIP) for mRNA extraction. Whole genome transcript profiling was performed using the Illumina MouseWG-6 Expression BeadChip with subsequent validation by quantitative real-time PCR (qPCR) and is available online at the NCBI Gene Expression Omnibus repository (GSE47452).
Native chromatin immunoprecipitation (ChIP) was performed as previously described with minor modifications . Frozen mouse brains treated with Cpd-60 or vehicle (n = 4/group) were rapidly dissected at 4°C and NAc isolated. Nucleosomal chromatin (‘Input’) was prepared by digesting native (unfixed) chromatin with micrococcal nuclease. 100 µL of the ChIP product was incubated overnight with anti-histone H4K12ac antibody and precipitated using agarose beads (Santa Cruz #SC-2003). Purified, immunoprecipitated DNA was applied to qPCR using primers (Table S2) designed using NCBI PRIMER-BLAST targeting regions proximal to gene transcription start sites (TSS). Resulting DNA amplification curves were used to calculate the ratio of immunoprecipitated DNA from ChIP to Input with statistical significance determined by two-tailed t-test of Cpd-60 or SAHA compared to vehicle.
Characterization of Cpd-60 as a Brain-penetrant, Selective Inhibitor of HDAC1 and HDAC2
In order to assess the utility of Cpd-60 (Fig. 1a) for in vivo studies, we initially determined its target selectivity and potency, binding kinetics, activity in cultured mouse neurons and brain penetrance. For comparison, we also assessed these parameters for SAHA (Fig. 1a), a non-selective inhibitor of class I and class II HDAC subtypes that has been demonstrated in mice to enhance cognition following chronic systemic treatment  and improve depression-related behaviors when directly infused into brain .
(a) Chemical structure of SAHA and Cpd-60. (b) In vitro IC50 (µM) for HDAC 1-9 by SAHA and Cpd-60 using recombinant human HDAC enzymes and HDAC class-specific substrates. Inhibitor and substrate were incubated for 60 min (HDAC4-9) or 180 min (HDAC1-3)a to control for HDAC1-3 inhibition by slow-binding test compounds. (c) In vitro binding affinity (Ki) and kinetics (half-life ‘T1/2′ in minutes) for HDAC 1, 2 and 3 incubated with SAHA or Cpd-60 (10 µM). (d) H4K12 acetylation levels in HEK293 cells following 24 hr ‘constant’ exposure to DMSO, SAHA (20 µM) or Cpd-60 (20 µM) and 6 hr after drug ‘washout’ (media change) with tubulin loading control. (e) Dose response plots for induction of histone H4K12 acetylation in cultured primary mouse neuronal cells by SAHA or Cpd-60 for 24 hr. Cells with histone acetylation signals above an intensity threshold of >99.5% (“bright green cells”) are plotted as a percentage normalized to DMSO control. EC50 values for H4K12 acetylation were 0.60 µM and 72 µM for SAHA and Cpd-60, respectively. (f) In vivo mouse brain pharmacokinetics following acute systemic administration of SAHA (25 mg/kg, i.p.) or Cpd-60 (45 mg/kg, i.p.).
Using a fluorometric biochemical assay (Fig. 1b.), we confirmed the selective inhibition by Cpd-60 of HDAC1 and HDAC2 (IC50 = 1 and 8 nM) with 50–400 fold selectivity over class I HDAC3 (IC50 = 458 nM), and no appreciable inhibition of HDAC8 or of the class II HDACs (IC50>30 µM). Additional biochemical assays revealed high-affinity (Ki = 0.2–1.5 nM) and slow-on/slow-off binding kinetics of Cpd-60 to HDAC1 and HDAC2 with half-lives (T1/2) of 40- and 80-hr (2400–4800 min; Fig 1c). Cpd-60 had lower affinity (Ki = 270 nM) and engagement of HDAC3 (T1/2 = 20 hr Fig.1c). In comparison, SAHA exhibited potent inhibition of HDAC1, 2, 3 and 6 (IC50 = 2–11 nM; Fig. 1b), similar to previously published results , and fast-on/fast-off binding kinetics (T1/2<4 min for HDAC1–3; Fig. 1c).
A subsequent counter screen against 80 common CNS targets including receptors, channels and transporters (Table S1), identified a clean profile for Cpd-60 (10 µM), with no significant binding to any of the targets (50% inhibition of control binding). These data suggest that biological effects of Cpd-60 are likely due to its inhibitor activity towards HDAC1 and HDAC2, and are not due to off-target effects.
To determine whether the binding kinetics of Cpd-60 and SAHA correlated with changes in cellular HDAC activity over time, we examined the acetylation of histone H4 at lysine 12 (H4K12ac) by western blot in HEK293 cells exposed to Cpd-60 or SAHA. Treatment with either inhibitor (20 µM for 24 hr) elevated H4K12ac levels (Fig. 1d, ‘constant’), however 6 hr after media change (Fig. 1d, ‘washout’), only Cpd-60-treated cells showed persistent increases in H4K12ac, indicating lasting HDAC binding and functional inhibition. To verify neuronal HDAC inhibitory activity of Cpd-60 and SAHA, we measured histone acetylation in cultured primary mouse forebrain neurons using an immunofluorescence-based, laser-scanning cytometry assay. Treatment with Cpd-60 or SAHA (20 µM) for 24 hr induced dose-dependent acetylation of H4K12ac (Fig. 1e) with EC50 values of 7.2 µM and 0.6 µM for Cpd-60 and SAHA, respectively, demonstrating robust inhibition of HDACs in cultured neurons.
Brain pharmacokinetic analyses (Fig. 1f) using doses corresponding to subsequent behavior and transcript expression studies determined that Cpd-60 had sustained brain exposure (T1/2 = 6.44 hr) compared to SAHA (T1/2 = 0.44 hr). The maximum concentration (Cmax) of Cpd-60 was 0.83 µM, far exceeding the in vitro IC50 for HDAC1 and HDAC2 (0.001 and 0.008 µM) but not HDAC3 (0.4 µM), suggesting robust inhibition of HDAC1 and 2. Preliminary positron emission tomography data following intravenous treatment of carbon-11 labeled Cpd-60 in baboon, collected as previously described , were consistent with rodent data and confirmed that Cpd-60 reaches the brain, albeit at low levels relative to plasma (S.W.K., J.M.H. unpublished data).
Overall, Cpd-60 was confirmed to be brain penetrant with selectivity and slow-on/slow-off binding for HDAC1/2. These selectivity and kinetic properties differentiate it from HDAC inhibitors utilized in prior rodent behavioral studies, including other benzamides such as the HDAC1/2/3 inhibitor, MS-275, as well as SAHA , , .
Validation of Cpd-60 as a Histone Deacetylase Inhibitor in Mouse Brain
Mood disorder medications, including antidepressants and lithium, typically require prolonged treatment to be effective in patients . We emulated this for in vivo experiments using a chronic drug treatment paradigm (>7 days i.p. treatment). To confirm that chronic Cpd-60 and SAHA suppressed HDAC activity in mouse brain, we examined global histone acetylation in cortex, ventral striatum (including NAc) and Hip, regions implicated in regulation of mood-related behaviors , . Histone acetylation was measured one hour after chronic treatment, a time point at which both Cpd-60 and SAHA are present in the brain (Fig. 1f). Three histone marks were measured, H2B (‘tetra’acetyl-K5,12,15, and 20), H3K9ac, and H4K12ac, which are associated with active transcription and are sensitive to HDAC2 activity , . Consistent with their in vitro activity as potent HDAC inhibitors, both Cpd-60 and SAHA significantly increased acetylation in each brain region by 1.5- to 2.0-fold compared to vehicle, indicating both compounds suppress HDAC activity in the brain following systemic administration (Fig. 2). The magnitude of change was consistent with previous studies of mouse brain , ,  and suggest that, despite differences in binding kinetics, HDAC subtype selectivity, and pharmacokinetic profiles, chronic treatment with Cpd-60 or SAHA induce similar increases in global histone acetylation in brain regions relevant to mood.
Chronic SAHA (25 mg/kg, i.p.) or Cpd-60 (45 mg/kg, i.p.) significantly increased acetylation of histone H2B(tetra-acetylated), H3K9 and H4K12 in cortex, ventral striatum and hippocampus one hour after the 10th daily treatment (arbitrary units, relative to vehicle control). Representative western blots are shown with total levels of histone H3 (H3pan) and histone H4 (H4pan) used as loading controls. *p<0.05, t-test of Cpd-60 or SAHA versus vehicle. n = 6 mice/group.
Chronic Treatment with Cpd-60 Improves Mood-related Behaviors in Mice
We next examined the efficacy of Cpd-60 in two established mouse behavioral assays with predictive validity for mood-stabilizer and antidepressant medications; the amphetamine induced hyperlocomotion (AIH) assay and the forced swim test (FST) assay. The AIH assay, in which amphetamine challenge significantly increases locomotor activity, has predictive validity for mood-stabilizing drugs, including lithium and valproate, which significantly attenuate the increased locomotion , , . Published work from our group has confirmed the attenuating effects of lithium treatment on hyperlocomotion in wild type mice . Following chronic treatment, Cpd-60 (45 mg/kg, i.p.) significantly reduced hyperlocomotion by 36% (Ftreatment (2,33) = 3.581, post hoc p<0.05), whereas SAHA (25 mg/kg, i.p.) had no effect (p = 0.54) compared to vehicle-treated mice (Fig. 3a and b). The attenuating effect of Cpd-60 on hyperlocomotion was not due to non-specific motoric effects, as basal locomotor activity was unchanged preceeding amphetamine challenge (Fig. 3a, t −20 to 0 min) and during test chamber acclimation on the previous day (see Methods; average distance traveled +/− SEM: Cpd-60: 2099 cm +/−249; Vehicle: 1929 cm +/−219). The FST assay is widely-used for evaluating the efficacy of antidepressants, which reduce the time spent immobile in a cylinder of water , . Cpd-60 treatment resulted in a significant 67% reduction in immobility time compared to vehicle- or SAHA (Fig. 3C, Ftreatment (2,33) = 6.588, post hoc p<0.01). This indicates an antidepressant-like effect comparable to that previously observed by our group after treatment with lithium (85 mg/kg i.p., 48% reduction, ) or the tricyclic antidepressant desipramine (15 mg/kg i.p., 55% reduction, n = 16/group; data not shown). These results suggest that prolonged inhibition of HDAC1/2 modulates the activity of mood-related neurocircuitry in mice.
(a) Timecourse of locomotor activity in response to and (b) total locomotor activity summed over 80 min following acute amphetamine challenge (3.5 mg/kg, i.p.; Time ‘0’ indicated by arrow). Hyperlocomotion in response to amphetamine was significantly reduced in mice chronically treated with Cpd-60 (45 mg/kg, i.p.) but not with SAHA (25 mg/kg, i.p.). (c) Time spent immobile in the forced swim test was significantly decreased in mice treated chronically with Cpd-60 but not SAHA compared to vehicle treated control mice. *p<0.05, **p<0.01, ANOVA with Least Significant Difference post hoc test.
Chronic Cpd-60 Treatment Alters Gene Expression in Brain Circuits Involved in Mood Regulation
Having observed robust behavioral effects following selective HDAC inhibition by Cpd-60, we next sought mechanistic insight into how Cpd-60 modulates molecular pathways regulating mood-related neurocircuitry. As changes in histone acetylation are linked to transcriptional regulation, we examined the effect of chronic HDAC inhibitor treatment on gene expression using whole-genome expression microarrays. PFC, NAc and HIP were profiled one hour after the tenth daily treatment of Cpd-60 or SAHA to investigate transcriptional changes potentially mediated by increased histone acetylation observed at this behaviorally relevant time point (Fig. 2). One-way ANOVA tests revealed that treatment with Cpd-60 or SAHA altered the expression of 4365 transcripts (uncorrected p<0.05). None of the transcripts survived Benjamini-Hochberg false discovery rate (FDR) correction at q <0.05 , however the microarray results were subsequently verified via quantitative PCR on a subset of genes as detailed below. Post hoc testing revealed that, summed across the three brain regions, a similar total number of transcripts were significantly altered by Cpd-60 or SAHA treatment compared to vehicle (Tukey’s HSD p<0.05, 1609 transcripts up- or down-regulated by Cpd-60 versus 1530 by SAHA). These changes reflect a regulatory influence of HDAC inhibitor treatment on only a fraction of the genome (less than 2000 of the >45,000 transcripts assayed by microarray), consistent with previous reports , .
Focusing on the subset of genes that were altered at least 1.2-fold by Cpd-60 or SAHA compared to vehicle (post hoc p<0.05), dramatic expression differences were detected across brain regions and inhibitors. Heatmaps illustrating transcripts upregulated or downregulated by HDAC inhibitor treatment in PFC, NAc or HIP revealed that Cpd-60 and SAHA altered unique sets of genes, indicated by distinct heatmap shading for each inhibitor (Fig. 4a). Large changes in gene expression, shown as intense red/blue shading, were seldom aligned between Cpd-60 and SAHA, illustrating little overlap in transcript regulation. Venn diagrams (Fig. 4b) enumerate transcripts significantly altered by Cpd-60 or SAHA compared to vehicle (≥1.2-fold, post hoc p<0.05) and highlight striking differences within each of the three brain regions. Specifically, Cpd-60 treatment altered a similar number of transcripts in each region (44–70 upregulated, 42–87 downregulated), whereas transcripts altered by SAHA were predominantly in the HIP (104 upregulated, 148 downregulated), with far fewer changes detected in the PFC or NAc (7 and 5 upregulated, 5 and 16 downregulated, respectively). Moreover, fewer than ten transcripts were altered by both Cpd-60 and SAHA in any brain region, indicating compound-specific effects on gene expression.
(a) Heatmaps illustrating transcript expression changes in mouse brain following chronic HDAC inhibitor treatment for 10 days. Cpd-60 (45 mg/kg, i.p.) significantly upregulated (red) or downregulated (blue) a similar number of transcripts in prefrontal cortex (PFC), nucleus accumbens (NAc), and hippocampus (HIP). Expression changes following SAHA treatment (25 mg/kg, i.p.) were predominantly localized to HIP. (b) Venn diagrams illustrate that only 1–10 genes were similarly regulated by Cpd-60 and SAHA treatment depending on brain region. Genes included in heatmaps and Venn diagrams have ≥1.2-fold expression change compared to vehicle (ANOVA p<0.05 with Tukey’s HSD post hoc test). (c) qPCR validation of a subset of genes with significantly altered expression following Cpd-60 treatment as determined by microarray analysis. *p<0.05, t-test of Cpd-60 or SAHA compared to vehicle.
To validate our microarray findings, we applied quantitative real-time PCR (qPCR) to a set of eight genes robustly altered by Cpd-60 versus vehicle (≥1.2-fold, post hoc p<0.05). The qPCR results (Fig. 4c) were in agreement with the microarray results for eight of eight genes and provide increased confidence in the microarray gene expression changes. Specifically, the qPCR results supported the microarray results by confirming that Cpd-60 induced robust changes in gene expression, with lesser changes by SAHA, including increases (e.g. Agxt2l1, Sgk1 and Tsc22d3) and decreases (e.g. Qdpr, Rock2), as well as validation of null effects (e.g. Mfsd2 in NAc, Sult1a1 in HIP, Fig.4c; Table S3).
Cpd-60 Treatment Increases Histone Acetylation at Active Gene Promoter Regions
We next sought a mechanistic link between the observed increases in histone acetylation and changes in gene expression detected following Cpd-60 treatment. As illustrated by the schematic in Figure 5a, chromatin immunoprecipitation (ChIP) and qPCR were used to examine the histone acetylation status of chromatin surrounding the transcription start site (TSS) of four genes with the greatest microarray expression changes induced by Cpd-60 treatment, alanine-glyoxylate aminotransferase 2-like 1 (Agxt2l1), serum/glucocorticoid regulated kinase 1 (Sgk1), sulfotransferase family 1A phenol-preferring member 1 (Sult1a1), and TSC22 domain family member 3 (Tsc22d3). We focused on changes in the NAc as this region integrates dopaminergic and serotonergic neurotransmission – systems that are central to mood regulation , . Additionally, a previous study showed that in mice, histone acetylation increases in the NAc correlated with antidepressant-like effects of the HDAC1/2/3 inhibitor MS-275 . We found that H4K12ac was significantly enriched by 2- to 10-fold in Cpd-60-treated mice at regions 0.2 and 1 kb upstream of the TSS of all four genes (Fig. 5b). In contrast, H4K12ac levels were lower than vehicle-treated controls in a region 0.5 kB downstream of each TSS (Fig 5b), indicating that enrichment of H4K12ac at upstream gene promoters was not due to global, non-specific increases in histone acetylation. These data suggest that transcription induced by Cpd-60 results, at least in part, from increased H4K12 acetylation at gene promoter regions.
(a) Schematic of experimental design with 10-day administration of Cpd-60 (45 mg/kg, i.p.). (b) Chromatin was immunoprecipitated with an anti-histone H4K12ac-antibody followed by qPCR targeting regions 1.0 or 0.2 kB upstream or 0.5 kB downstream from the transcription start site (TSS). Transcripts upregulated by Cpd-60 treatment had increased histone acetylation at promoter regions upstream, but not downstream, of the TSS in Cpd-60 treated tissue compared to vehicle. *p<0.05, **p<0.01, t-test of Cpd-60 versus vehicle.
Cpd-60 and Lithium Induce Similar Transcriptional Effects in Brain
The behavioral changes observed in the AIH and FST assays following chronic Cpd-60 treatment are similar to those that we and others have found following treatment with lithium , , as well as valproate in the case of the AIH assay . Lithium and valproate are reported to have synergistic effects on histone acetylation and other molecular targets in mouse models of neurological disease , , implicating a common mechanism of the two drugs. We therefore reasoned that Cpd-60 and lithium treatments may induce similar effects on the transcriptome. A previous study by McQuillin and colleagues reported that chronic dietary lithium resulted in significant transcriptional changes (up- and down-regulation) of 121 transcripts in mouse brain compared to mice fed a control diet . We therefore used Gene Set Enrichment Analysis (GSEA) to compare the set of genes whose expression was significantly changed by lithium to those we found altered by Cpd-60 or SAHA treatment by microarray analysis (≥1.2-fold change versus vehicle, Tukey’s HSD post hoc p<0.05). As McQuillin and colleagues’ study utilized whole brain, we approximated ‘whole brain’ by compiling our microarray expression data from PFC, NAc, and HIP. A subset of 11 of the 390 transcripts altered by Cpd-60 across the three regions were among the 121 modulated by lithium treatment, a statistically significant overlap (FDR-corrected p<0.001), and included the three most upregulated transcripts, Agxt2l1, Sgk1, and Tsc22d3 (Table S3). The direction of regulation was the same between Cpd-60 and lithium for 9 of the 11 transcripts. Further, there was no significant overlap between the 288 SAHA-regulated transcripts and those altered by lithium (p = 0.36). We recognize the limitations in comparing these datasets and the small extent of the observed overlap. Nonetheless, these data raise the intriguing possibility that common transcriptional regulatory mechanisms between Cpd-60 and lithium may underlie their similar effects on mood-related behaviors in mice.
Research in post-mortem human brain and preclinical models has provided evidence that chromatin-mediated neuroplasticity likely plays an important role in the mechanisms underlying psychiatric diseases and clinical treatments. A major finding of this study is that chronic systemic treatment of mice with Cpd-60, a slow-binding, selective inhibitor of HDAC1 and HDAC2, modulates brain function as demonstrated by behavioral alterations in paradigms with predictive validity for mood-stabilizing drugs and antidepressants. These alterations were associated with significant transcriptional changes in mouse PFC, NAc and HIP, brain regions involved in regulating mood, that were mediated by epigenetic modifications as evidenced by increased histone acetylation at the promoter regions of upregulated transcripts. Comparatively, the class I and II HDAC inhibitor, SAHA, did not influence mouse behavior in either paradigm and transcriptional changes were predominantly localized to the hippocampus despite evidence of HDAC inhibition in all brain regions examined. These findings underscore the need to understand the mechanisms by which HDAC subtypes regulate histone acetylation and gene transcription, which in turn modulate brain function, as well as how highly-selective HDAC inhibitors can modulate chromatin-mediated neuroplasticity and inform treatment design.
Aside from different HDAC selectivity profiles of Cpd-60 and SAHA, other potential explanations for the distinct behavioral and molecular effects we observed may be related to brain exposure and binding kinetics. Systemic Cpd-60 treatment resulted in peak brain concentrations within 5 min and remained >0.1 µM for at least 8 hr. In contrast, systemic SAHA treatment, although reaching peak concentrations quickly, was cleared from the brain within 2 hr. Nevertheless, SAHA and other HDAC inhibitors are reported to alter mood-related behaviors when infused directly into the brain , , suggesting that neuroplasticity and behavior can be altered if brain levels of HDAC inhibitors are sufficiently high. The slow binding kinetics of Cpd-60 also support that sustained inhibition of HDAC enzymes may be potentially beneficial in neuropsychiatric disease treatment models.
A limitation to interpreting the behavioral and molecular effects of HDAC inhibitor treatment is that, while the expression of HDAC subtypes has been examined using harvested brain , , identifying the neuroanatomical distribution and function of HDAC subtypes in living animals remains a lasting challenge. Emerging in vivo imaging research investigating radiolabeled HDAC inhibitor compounds  may provide tools to reveal the distribution of HDAC subtypes and, ideally, enzymatic activity in the human brain. Meanwhile, this work helps define the relationship between blood-brain barrier (BBB) penetration of compounds and their efficacy in the treatment of CNS disorders. As such, rodent and non-human primate brain imaging data indicate that systemically delivered MS-275 is limited by poor BBB permeability , despite altering mood-related behaviors in mice following direct brain infusion , . Future studies aimed at identifying HDAC inhibitors with improved selectivity, pharmacokinetics, and BBB permeability, as well as those clarifying the functional distribution of HDAC subtypes in brain, will be critical to develop HDAC therapies for the CNS.
Insight into the mechanism underlying behavioral changes induced by chronic Cpd-60 treatment can be gained from transcriptional changes observed in brain. We interpret the robust gene expression changes detected in this study as suggesting a role of promoter region histone acetylation in the selective transcriptional activation of genes that functionally regulate mood-related neurocircuitry. In our working model, chronic suppression of HDAC1/2 activity by Cpd-60 treatment alters promoter-region histone acetylation of a subset of genes, opening chromatin structure that facilitates transcriptional response to homeostatic cues and regulatory proteins. Resulting gene expression changes converge and, based on our behavioral evidence, function to insulate against challenges to mood-related neurocircuitry.
Based on our microarray data, such homeostatic cues may include glucocorticoid signaling, a stress-response system altered in mood disorders ,  and previously implicated in chromatin-mediated neuroplasticity changes underlying mood-related behaviors . Lead examples for this model based on the most significant Cpd-60-induced expression changes include Sgk1 and Sult1a1, both induced by glucocorticoid signaling , . Sgk1 and Sult1a1 were also among the genes reported to be upregulated in rodent brain following lithium treatment , and also by diverse antidepressant therapies . Further, Sgk1 was increased in rat brain after administration of the antipsychotic clozapine . In addition, its protein product SGK phosphorylates and deactivates glycogen synthase kinase-3 (GSK-3), a known target of lithium , suggesting that protein effectors in the GSK-3/Wnt signaling pathway (e.g. β-catenin) may mediate transcriptional changes initiated by treatment with Cpd-60, lithium or other drugs that alleviate mood dysregulation. Finally, clozapine and lithium require SGK to suppress nuclear localization of the eukaryotic transcription factor FOXO . Together, these data support that the transcriptional effects we observed in Cpd-60-treated mice may result in part from a glucocorticoid signaling cascade that incorporates SGK1 and modulates the activity of transcription factor proteins such as β-catenin and FOXO.
Importantly, we point out that understanding the impact of selective HDAC inhibitor treatment on behavioral response would benefit from examination in additional tests and paradigms. However, we found that treatment with Cpd-60 (45 mg/kg, i.p.) for longer than 10 days was not well tolerated resulting in compromised health that precluded more thorough behavioral characterization. We did not observe any health compromise in mice treated with SAHA (25 mg/kg, i.p.) for the same time period. Indeed, this is a major caveat in considering compounds like Cpd-60 in designing new therapies for mental health disorders where long-term treatment is often required for efficacy. However, using these and related HDAC inhibitor tool compounds in basic research, future studies hold promise to resolve how HDAC subtype affinity, brain penetrance and clearance relate to both beneficial and deleterious effects of HDAC inhibition. To this end, it is interesting to consider the impact of selective HDAC1/2 inhibition on CNS disease models including chronic corticosteroid exposure , as well as chemical and genetic models of neurodegenerative disease –. Likewise, emerging compounds such as a highly selective HDAC3 inhibitor recently used in a study of addiction-related memory  will be important in further describing the role of HDAC enzymes in mood-related behaviors and how these enzymes may be best targeted in clinical drug development.
We recognize that, although poorly understood, acetylation of non-histone proteins likely plays a part in HDAC inhibitor effects . While Cpd-60 does not functionally inhibit either HDAC5 or HDAC6, reports have indicated a role for the non-histone targets of these class II HDACs in regulating emotional behavior, stress and GC signaling –. Comparing the behavioral and molecular responses in these reports to those induced by selective class I HDAC inhibitors will clarify the role of acetylation of histone and non-histone proteins to coordinate changes in chromatin structure and mood-related neurocircuitry. Toward this aim, the aggregate changes induced by Cpd-60 treatment represent a signature of gene expression that could be used to discriminate critical factors induced by clinical drugs or other chromatin modifying compounds that may influence psychiatric disease symptoms and treatment. Studies to address this and other mechanistic questions are ongoing.
In conclusion, efforts in genetic and epigenetic research will continue to discover and refine the mechanistic underpinnings of these diseases and lead to targeted, mechanism-based treatments. Our current findings stand as supportive evidence that selective inhibition of HDAC1 and HDAC2 results in beneficial changes in neuroplasticity and may be a novel target for mood disorder therapy. Overall, the results – and limitations – of this study underscore the importance of developing brain-penetrant selective HDAC inhibitors as well as the challenges related of long term, systemic treatment with HDAC inhibitors. Continued research on small molecule, selective HDAC inhibitors will advance understanding of improvements that can made in engineering chromatin modifying drugs and how these may be best applied in treating clinical brain dysfunction.
Primer sequences used for qPCR and ChIP experiments.
Significant overlap in gene expression changes associated with chronic Cpd-60 or lithium treatment. Transcript microarray data expressed as fold change relative to vehicle controls. Eleven of 368 transcripts altered by Cpd-60 in PFC, NAc or HIP (>1.2-fold vs. vehicle, bold text indicates post hoc p<0.05 by Tukey’s HSD) were among 121 transcripts modulated in whole brain of mice treated chronically with lithium (right panel, **McQuillin et al, 2007); overlap significant at p<0.001 by Gene Set Analysis. Gray shading highlights genes upregulated by Cpd-60 and lithium, with lesser effects by SAHA.
We would like to thank members of the Petryshen and Haggarty laboratories, as well as the Stanley Center for Psychiatric Research at the Broad Institute, for their helpful discussions. We would like to acknowledge the contributions of Kimberly Chambert, Supriya Gupta and Jennifer Moran in assisting with Illumina gene expression microarray studies. We would like to thank members of the Poelmans laboratory at the Radboud University Nijmegen for helpful discussions regarding the microarray studies.
Conceived and designed the experiments: FAS MCL DMF FFW YLZ KMH JG WNZ SR DDB EBS SWK ELC JMH EBH SJH TLP. Performed the experiments: FAS MCL DMF FFW KMH JG WNZ SR EBS SWK ELC. Analyzed the data: FAS MCL DMF FFW YLZ KMH JG WNZ SR DDB EBS SWK ELC JMH EBH SJH TLP. Contributed reagents/materials/analysis tools: FAS MCL DMF FFW YLZ KMH JG WNZ SR DDB EBS SWK ELC JMH EBH SJH TLP. Wrote the paper: FAS MCL DMF FFW EBH SJH TLP.
- 1. Nestler EJ (2009) Epigenetic mechanisms in psychiatry. Biol Psychiatry 65: 189–190.
- 2. Verdone L, Caserta M, Di Mauro E (2005) Role of histone acetylation in the control of gene expression. Biochem Cell Biol 83: 344–353.
- 3. Covington HE (2009) Antidepressant actions of histone deacetylase inhibitors. J Neurosci 29: 11451–11460.
- 4. Hobara T, Uchida S, Otsuki K, Matsubara T, Funato H, et al. (2010) Altered gene expression of histone deacetylases in mood disorder patients. J Psychiatr Res 44: 263–270.
- 5. Benes FM, Lim B, Matzilevich D, Walsh JP, Subburaju S, et al. (2007) Regulation of the GABA cell phenotype in hippocampus of schizophrenics and bipolars. Proc Natl Acad Sci U S A 104: 10164–10169.
- 6. Kilgore M, Miller CA, Fass DM, Hennig KM, Haggarty SJ, et al. (2010) Inhibitors of class 1 histone deacetylases reverse contextual memory deficits in a mouse model of Alzheimer’s disease. Neuropsychopharmacology 35: 870–880.
- 7. Phiel CJ, Zhang F, Huang EY, Guenther MG, Lazar MA, et al. (2001) Histone deacetylase is a direct target of valproic acid, a potent anticonvulsant, mood stabilizer, and teratogen. J Biol Chem 276: 36734–36741.
- 8. Feng HL, Leng Y, Ma CH, Zhang J, Ren M, et al. (2008) Combined lithium and valproate treatment delays disease onset, reduces neurological deficits and prolongs survival in an amyotrophic lateral sclerosis mouse model. Neuroscience 155: 567–572.
- 9. Leng Y, Liang MH, Ren M, Marinova Z, Leeds P, et al. (2008) Synergistic neuroprotective effects of lithium and valproic acid or other histone deacetylase inhibitors in neurons: roles of glycogen synthase kinase-3 inhibition. J Neurosci 28: 2576–2588.
- 10. Bertran-Gonzalez J, Hakansson K, Borgkvist A, Irinopoulou T, Brami-Cherrier K, et al. (2009) Histone H3 phosphorylation is under the opposite tonic control of dopamine D2 and adenosine A2A receptors in striatopallidal neurons. Neuropsychopharmacology 34: 1710–1720.
- 11. Li J, Guo Y, Schroeder FA, Youngs RM, Schmidt TW, et al. (2004) Dopamine D2-like antagonists induce chromatin remodeling in striatal neurons through cyclic AMP-protein kinase A and NMDA receptor signaling. J Neurochem 90: 1117–1131.
- 12. Kurita M, Holloway T, Garcia-Bea A, Kozlenkov A, Friedman AK, et al. (2012) HDAC2 regulates atypical antipsychotic responses through the modulation of mGlu2 promoter activity. Nat Neurosci 15: 1245–1254.
- 13. Tsankova NM, Kumar A, Nestler EJ (2004) Histone modifications at gene promoter regions in rat hippocampus after acute and chronic electroconvulsive seizures. J Neurosci 24: 5603–5610.
- 14. Schroeder FA, Lin CL, Crusio WE, Akbarian S (2007) Antidepressant-like effects of the histone deacetylase inhibitor, sodium butyrate, in the mouse. Biol Psychiatry 62: 55–64.
- 15. Arent CO, Valvassori SS, Fries GR, Stertz L, Ferreira CL, et al. (2011) Neuroanatomical profile of antimaniac effects of histone deacetylases inhibitors. Mol Neurobiol 43: 207–214.
- 16. Kim WY, Kim S, Kim JH (2008) Chronic microinjection of valproic acid into the nucleus accumbens attenuates amphetamine-induced locomotor activity. Neurosci Lett 432: 54–57.
- 17. Methot JL, Chakravarty PK, Chenard M, Close J, Cruz JC, et al. (2008) Exploration of the internal cavity of histone deacetylase (HDAC) with selective HDAC1/HDAC2 inhibitors (SHI-1:2). Bioorg Med Chem Lett 18: 973–978.
- 18. Moradei OM, Mallais TC, Frechette S, Paquin I, Tessier PE, et al. (2007) Novel aminophenyl benzamide-type histone deacetylase inhibitors with enhanced potency and selectivity. J Med Chem 50: 5543–5546.
- 19. Covington HE (2011) Hippocampal-dependent antidepressant-like activity of histone deacetylase inhibition. Neurosci Lett 493: 122–126.
- 20. Kilts CD (2000) In vivo imaging of the pharmacodynamics and pharmacokinetics of lithium. J Clin Psychiatry 61 Suppl 941–46.
- 21. Breslow RU, Marks P, A.; (US)., Rifkind R, A.; (US) (1995) NOVEL POTENT INDUCERS OF TERMINAL DIFFERENTIATION AND METHODS OF USE THEREOF.
- 22. Stowell JC, Huot RI, Van Voast L (1995) The synthesis of N-hydroxy-N’-phenyloctanediamide and its inhibitory effect on proliferation of AXC rat prostate cancer cells. J Med Chem 38: 1411–1413.
- 23. Fass DM, Reis SA, Ghosh B, Hennig KM, Joseph NF, et al. (2013) Crebinostat: A novel cognitive enhancer that inhibits histone deacetylase activity and modulates chromatin-mediated neuroplasticity. Neuropharmacology 64: 81–96.
- 24. Katragadda M, Magotti P, Sfyroera G, Lambris JD (2006) Hydrophobic effect and hydrogen bonds account for the improved activity of a complement inhibitor, compstatin. J Med Chem 49: 4616–4622.
- 25. Chou CJ, Herman D, Gottesfeld JM (2008) Pimelic diphenylamide 106 is a slow, tight-binding inhibitor of class I histone deacetylases. J Biol Chem 283: 35402–35409.
- 26. Pan JQ, Lewis MC, Ketterman JK, Clore EL, Riley M, et al. (2011) AKT kinase activity is required for lithium to modulate mood-related behaviors in mice. Neuropsychopharmacology 36: 1397–1411.
- 27. Huang HS, Matevossian A, Jiang Y, Akbarian S (2006) Chromatin immunoprecipitation in postmortem brain. J Neurosci Methods 156: 284–292.
- 28. Guan JS, Haggarty SJ, Giacometti E, Dannenberg JH, Joseph N, et al. (2009) HDAC2 negatively regulates memory formation and synaptic plasticity. Nature 459: 55–60.
- 29. Hooker JM, Kim SW, Alexoff D, Xu Y, Shea C, et al. (2010) Histone deacetylase inhibitor, MS-275, exhibits poor brain penetration: PK studies of [C]MS-275 using Positron Emission Tomography. ACS Chem Neurosci 1: 65–73.
- 30. Thompson C (2002) Onset of action of antidepressants: results of different analyses. Hum Psychopharmacol 17 Suppl 1S27–32.
- 31. Peleg S, Sananbenesi F, Zovoilis A, Burkhardt S, Bahari-Javan S, et al. (2010) Altered histone acetylation is associated with age-dependent memory impairment in mice. Science 328: 753–756.
- 32. Gould TD, O’Donnell KC, Picchini AM, Manji HK (2007) Strain differences in lithium attenuation of d-amphetamine-induced hyperlocomotion: a mouse model for the genetics of clinical response to lithium. Neuropsychopharmacology 32: 1321–1333.
- 33. Porsolt RD, Bertin A, Jalfre M (1977) Behavioral despair in mice: a primary screening test for antidepressants. Arch Int Pharmacodyn Ther 229: 327–336.
- 34. Porsolt RD, Deniel M, Jalfre M (1979) Forced swimming in rats: hypothermia, immobility and the effects of imipramine. Eur J Pharmacol 57: 431–436.
- 35. Benjamini YaHY (1995) Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society (Methodologial) 57: 289–300.
- 36. Nestler EJ, Carlezon WA Jr (2006) The mesolimbic dopamine reward circuit in depression. Biol Psychiatry 59: 1151–1159.
- 37. Obradovic T, Imel KM, White SR (1996) Methylenedioxymethamphetamine-induced inhibition of neuronal firing in the nucleus accumbens is mediated by both serotonin and dopamine. Neuroscience 74: 469–481.
- 38. McQuillin A, Rizig M, Gurling HM (2007) A microarray gene expression study of the molecular pharmacology of lithium carbonate on mouse brain mRNA to understand the neurobiology of mood stabilization and treatment of bipolar affective disorder. Pharmacogenet Genomics 17: 605–617.
- 39. Baltan S, Murphy SP, Danilov CA, Bachleda A, Morrison RS (2011) Histone deacetylase inhibitors preserve white matter structure and function during ischemia by conserving ATP and reducing excitotoxicity. J Neurosci 31: 3990–3999.
- 40. MacDonald JL, Roskams AJ (2008) Histone deacetylases 1 and 2 are expressed at distinct stages of neuro-glial development. Dev Dyn 237: 2256–2267.
- 41. Arnett MG, Kolber BJ, Boyle MP, Muglia LJ (2011) Behavioral insights from mouse models of forebrain–and amygdala-specific glucocorticoid receptor genetic disruption. Mol Cell Endocrinol 336: 2–5.
- 42. Solomon MB, Furay AR, Jones K, Packard AE, Packard BA, et al. (2012) Deletion of forebrain glucocorticoid receptors impairs neuroendocrine stress responses and induces depression-like behavior in males but not females. Neuroscience 203: 135–143.
- 43. Weaver IC, Cervoni N, Champagne FA, D’Alessio AC, Sharma S, et al. (2004) Epigenetic programming by maternal behavior. Nat Neurosci 7: 847–854.
- 44. Fang HL, Shenoy S, Duanmu Z, Kocarek TA, Runge-Morris M (2003) Transactivation of glucocorticoid-inducible rat aryl sulfotransferase (SULT1A1) gene transcription. Drug Metab Dispos 31: 1378–1381.
- 45. Kobayashi T, Cohen P (1999) Activation of serum- and glucocorticoid-regulated protein kinase by agonists that activate phosphatidylinositide 3-kinase is mediated by 3-phosphoinositide-dependent protein kinase-1 (PDK1) and PDK2. Biochem J 339 (Pt 2): 319–328.
- 46. Conti M, Cavestri B, Benhamed L, Porte H, Wurtz A (2007) [Malformations of the anterior chest wall]. Rev Mal Respir 24: 107–120.
- 47. Robbins MJ, Critchlow HM, Lloyd A, Cilia J, Clarke JD, et al. (2008) Differential expression of IEG mRNA in rat brain following acute treatment with clozapine or haloperidol: a semi-quantitative RT-PCR study. J Psychopharmacol 22: 536–542.
- 48. Sakoda H, Gotoh Y, Katagiri H, Kurokawa M, Ono H, et al. (2003) Differing roles of Akt and serum- and glucocorticoid-regulated kinase in glucose metabolism, DNA synthesis, and oncogenic activity. J Biol Chem 278: 25802–25807.
- 49. Weeks KR, Dwyer DS, Aamodt EJ (2011) Clozapine and lithium require Caenorhabditis elegans beta-arrestin and serum- and glucocorticoid-inducible kinase to affect Daf-16 (FOXO) localization. J Neurosci Res 89: 1658–1665.
- 50. Hodes GE, Brookshire BR, Hill-Smith TE, Teegarden SL, Berton O, et al. (2012) Strain differences in the effects of chronic corticosterone exposure in the hippocampus. Neuroscience 222: 269–280.
- 51. Rane P, Shields J, Heffernan M, Guo Y, Akbarian S, et al. (2012) The histone deacetylase inhibitor, sodium butyrate, alleviates cognitive deficits in pre-motor stage PD. Neuropharmacology 62: 2409–2412.
- 52. Del Signore SJ, Amante DJ, Kim J, Stack EC, Goodrich S, et al. (2009) Combined riluzole and sodium phenylbutyrate therapy in transgenic amyotrophic lateral sclerosis mice. Amyotroph Lateral Scler 10: 85–94.
- 53. Hu Y, Chopra V, Chopra R, Locascio JJ, Liao Z, et al. (2011) Transcriptional modulator H2A histone family, member Y (H2AFY) marks Huntington disease activity in man and mouse. Proc Natl Acad Sci U S A 108: 17141–17146.
- 54. Malvaez M, McQuown SC, Rogge GA, Astarabadi M, Jacques V, et al. (2013) HDAC3-selective inhibitor enhances extinction of cocaine-seeking behavior in a persistent manner. Proc Natl Acad Sci U S A 110: 2647–2652.
- 55. Glozak MA, Sengupta N, Zhang X, Seto E (2005) Acetylation and deacetylation of non-histone proteins. Gene 363: 15–23.
- 56. Espallergues J, Teegarden SL, Veerakumar A, Boulden J, Challis C, et al. (2012) HDAC6 regulates glucocorticoid receptor signaling in serotonin pathways with critical impact on stress resilience. J Neurosci 32: 4400–4416.
- 57. Fukada M, Hanai A, Nakayama A, Suzuki T, Miyata N, et al. (2012) Loss of deacetylation activity of Hdac6 affects emotional behavior in mice. PLoS One 7: e30924.
- 58. Renthal W, Maze I, Krishnan V, Covington HE (2007) Histone deacetylase 5 epigenetically controls behavioral adaptations to chronic emotional stimuli. Neuron 56: 517–529.