Abstract
Prefrontal circuits are thought to underlie aberrant emotion contributing to relapse in abstinence; however, the discrete cell-types and mechanisms remain largely unknown. Corticotropin-releasing factor and its cognate type-1 receptor, a prominent brain stress system, is implicated in anxiety and alcohol use disorder (AUD). Here, we tested the hypothesis that medial prefrontal cortex CRF1-expressing (mPFCCRF1+) neurons comprise a distinct population that exhibits neuroadaptations following withdrawal from chronic ethanol underlying AUD-related behavior. We found that mPFCCRF1+ neurons comprise a glutamatergic population with distinct electrophysiological properties and regulate anxiety and conditioned rewarding effects of ethanol. Notably, mPFCCRF1+ neurons undergo unique neuroadaptations compared to neighboring neurons including a remarkable decrease in excitability and glutamatergic signaling selectively in withdrawal, which is driven in part by the basolateral amygdala. To gain mechanistic insight into these electrophysiological adaptations, we sequenced the transcriptome of mPFCCRF1+ neurons and found that withdrawal leads to an increase in colony-stimulating factor 1 (CSF1) in this population. We found that selective overexpression of CSF1 in mPFCCRF1+ neurons is sufficient to decrease glutamate transmission, heighten anxiety, and abolish ethanol reinforcement, providing mechanistic insight into the observed mPFCCRF1+ synaptic adaptations in withdrawal that drive these behavioral phenotypes. Together, these findings highlight mPFCCRF1+ neurons as a critical site of enduring adaptations that may contribute to the persistent vulnerability to ethanol misuse in abstinence, and CSF1 as a novel target for therapeutic intervention for withdrawal-related negative affect.
Subject terms: Neuroscience, Cell biology
Introduction
Alcohol use disorder (AUD) is characterized by the loss of control over ethanol intake, negative emotional states in the absence of ethanol, and a compulsion to seek and consume ethanol, which is thought to heavily involve the prefrontal cortex. Individuals with an AUD have reduced prefrontal cortex volumes [1–5], and hypo-functionality of the medial prefrontal cortex (mPFC) contributes to a loss of control over limiting intake in humans with an AUD [6]. Preclinical studies also implicate the mPFC in anxiety-like behaviors and excessive ethanol drinking [7, 8]. Identifying chronic ethanol-induced adaptations that persist into withdrawal and drive aberrant behavior will provide insight into neuronal mechanisms for more efficacious therapeutic intervention, which are currently limited for AUD.
Ethanol activates neuroendocrine stress systems, which become dysregulated following chronic exposure contributing to AUD [9, 10]. Corticotropin-releasing factor (CRF) is a major brain stress signal and plays a critical role in AUD [11–13]. CRF binds the cognate CRF receptor 1 (CRF1), CRF receptor 2 (CRF2), as well as CRF binding protein (CRF-BP) [14]. While the CRF system has been extensively studied in limbic brain regions, much less is known about its functional role in prefrontal circuits. The CRF-CRF1 system is prominently expressed in the mPFC [15, 16], while CRF2 is limited [17, 18]. Specifically, CRF and CRF1 are predominantly expressed in GABAergic and glutamatergic neurons, respectively [19–21]. Functionally, injection of CRF or CRF1 antagonists in the mPFC is anxiogenic and anxiolytic, respectively [22–25], deletion of forebrain CRF1 reduces anxiety [26], mPFC CRF-CRF1 underlies stress-induced executive dysfunction [27, 28], mPFC CRF signaling impairs working memory [29, 30], and mPFC CRF interneurons regulate behavioral selection during stress [31]. Notably, withdrawal from chronic alcohol recruits mPFC GABAergic CRF neurons [32], and binge alcohol consumption decreases mPFC CRF-BP [33], which is also predominantly expressed in mPFC GABAergic neurons [34]. Taken together, CRF1-expressing mPFC neurons (mPFCCRF1+) have the molecular components to respond to neurochemical stress signals, that are vulnerable to repeated ethanol exposure, and are also wired to mediate anxiety-like behaviors; therefore, mPFCCRF1+ neurons are poised to promote relapse to ethanol use during abstinence.
Here, we tested the hypothesis that mPFCCRF1+ neurons comprise a distinct population that undergoes specific neuroadaptations induced by chronic ethanol and withdrawal that underlie aberrant emotional processing and ethanol drinking. Indeed, we found that mPFCCRF1+ neurons display reduced excitability, as well as glutamate transmission, mediated partly by basolateral amygdala (BLA) afferents. Moreover, we identified a neuroimmune mechanism, via colony-stimulating factor 1 (CSF1), underlying the observed mPFCCRF1+ adaptations in glutamate transmission and sufficient to induce aberrant anxiety-like behavior, which may increase relapse susceptibility. These data highlight the potential of the neuroimmune mediator, CSF1, as a promising, novel target of therapeutic intervention for AUD.
Methods and materials
For full details see Supplementary Materials.
Animals
Adult (>10 weeks old) male and female CRF1:GFP and CRF1:Cre mice were used [35–38]. Sample sizes for each experiment are listed in Supplementary Table 1. All procedures were approved by Scripps Institutional Animal Care and Use Committee and were consistent with the National Institutes of Health Guide for the Care and Use of Laboratory Animals.
Chronic intermittent ethanol inhalation
To induce ethanol dependence, male mice were exposed to chronic intermittent ethanol (CIE) inhalation as previously described [37]. The average blood ethanol level achieved during CIE was 183.5 mg/dl. Cages were randomly assigned to naïve-control, dependent, and withdrawal groups.
In situ hybridization
In situ hybridization, image acquisition, and quantification were performed as previously described [35, 39]. The following probes from ACD Biotechne were used: negative control (320751), Crhr1 (418011), Gad2 (439371), and Slc17a7 (416631). Note, negligible Crhr1 fluorescence was observed in the mouse septum (see Supplementary Fig. 1; modified from Wolfe et al. [35]), a region of low CRF1 expression [18], confirming the validity of the Crhr1 signal.
Immunohistochemistry
Immunohistochemistry, imaging, and quantification were performed as previously described [40]. Primary antibodies included rabbit anti-CSF1 (ab233387; Abcam), rabbit anti-Cre (69050; Novagen), or chicken anti-eGFP (ab13970; Abcam). Secondary antibodies included Alexa Fluor 488 donkey anti-rabbit (Jackson ImmunoResearch, 711-545-152), Alexa Fluor 555 donkey anti-rabbit (A32794, Invitrogen), or Alexa Fluor 488 donkey anti-chicken (703-545-155, Jackson ImmunoResearch).
Whole-cell patch-clamp electrophysiology and optogenetics
Whole-cell voltage-clamp and current-clamp recordings were collected, in an unblinded fashion, from pyramidal neurons, morphologically confirmed visually and with a cell capacitance criterion of >80 pF, and analyzed as previously described [40, 41]. A K-gluconate internal solution was used to record spontaneous excitatory postsynaptic currents (sEPSCs) in artificial cerebrospinal fluid (ACSF), miniature excitatory postsynaptic currents (mEPSCs) in the presence of 30 µM bicuculline (BIC; Tocris) and 0.5 µM tetrodotoxin (TTX; Sigma Aldrich), and excitability in ACSF.
For optogenetic experiments, channelrhodopsin-2 (ChR2)-photocurrents were measured using wide-field illumination. Mono-synaptic connectivity was measured in ACSF containing 30 µM BIC, 0.5 µM TTX, and 100 µM 4-aminopyridine (4-AP). AMPA and NMDA currents were recorded from a holding potential of −80 mV and +40 mV, respectively, using an Cs-methanesulfonate internal solution. Data analysis was conducted in a blind fashion until the final step of grouping cells and statistics.
Site-specific viral injection surgery
Viral injections were performed as previously described [42]. Cages were randomly assigned into control and treatment groups for each experiment. For optogenetics AAV2-hSyn-ChR2-mCherry was injected into the BLA (AP: −1.5, DV: −4.9, ML: ± 3.4; UNC Vector Core), for mPFCCRF1+ ablation AAV2-flex-taCasp3-TEVp (UNC Vector Core), for mPFCCRF1+ CSF1 overexpression AAV2-CMV-DIO-mCSF1-2A-mCherry (Vector Biolabs), or control AAV2-hSyn-DIO-mCherry (Addgene) was injected into the mPFC (AP: + 1.9, DV: −2.4, ML: ± 0.5).
Behavioral testing
Novelty-induced suppression of feeding was performed as previously described [42]. Ethanol place conditioning was performed in a two-chamber apparatus consisting of three phases: 1-day pre-conditioning, 12-days of conditioning, and 1-day test. During conditioning, mice received injections of 2 g/kg ethanol or saline and were confined to one compartment. During pre-conditioning and test, mice were given access to the entire chamber. The time spent in each compartment was measured. Experimenters were blinded to groups during testing.
Fluorescence activated cell sorting and RNA sequencing
The mPFC from CRF1:GFP mice was microdissected, tissue was dissociated and sorted, and RNA was isolated from sorted cells as previously described [43]. Samples were used for RNA sequencing and mapped to the mouse genome. Differential gene expression was assessed [44]. Advaita bioinformatics was used for gene ontology, pathway, and network analysis. Data will be available on Gene Expression Omnibus (accession number GSE202936).
Data statistics
Data are presented as mean ± standard error (SEM) with individual data points overlayed, and N and n represents sample number of mice and cells, respectively. Sample sizes were choosen based on previously conducted experiments. Grubb’s outlier test was used to identify outliers, which were excluded from datasets. All statistical tests, stated in the figure legend for each experiment, met the appropriate assumptions regarding normal distribution and homoscedasticity of data, were two-tailed, and p-values were adjusted for multiple comparisons as appropriate. A p-value of <0.05 was considered the cutoff for significance.
Results
mPFCCRF1+ neurons comprise a distinct glutamatergic population that regulates anxiety and ethanol reinforcement
To determine the identity and electrophysiological properties of mPFCCRF1+ neurons, we used male, CRF1:GFP reporter mice for in situ hybridization and ex vivo whole-cell patch-clamp electrophysiology. mPFCCRF1+ neurons are densely distributed in layer 2/3 of the prelimbic (PrL) subdivision (Fig. 1A). Nuclei expressing Crhr1 mRNA predominantly co-express Slc17a7 compared to Gad2 mRNA, suggesting that mPFCCRF1+ neurons are primarily glutamatergic (Fig. 1B). mPFCCRF1+ pyramidal neurons showed a distinct electrophysiological signature compared to neighboring mPFC PrL CRF1 non-expressing pyramidal neurons (mPFCCRF1−) including reduced excitability, less voltage sag, greater initial action potential amplitude, and a more depolarized resting membrane potential (Fig. 1C, Supplementary Fig. 2). Moreover, mPFCCRF1+ neurons had reduced spontaneous excitatory postsynaptic current (sEPSC) frequency and amplitude, suggesting less glutamatergic input and post-synaptic transmission in this population (Fig. 1D–F). No effect on sEPSC kinetics were observed (data not shown). In addition, we found that acute CRF application (200 nM) decreases excitability of mPFCCRF1+ and mPFCCRF1− neurons (Supplementary Fig. 3 and Supplementary Table 3). These data suggest that mPFCCRF1+ neurons comprise a unique glutamatergic population with distinct electrophysiological properties.
To assess the behavioral relevance of this population, we selectively ablated mPFCCRF1+ neurons in male, CRF1:Cre mice and examined the behavioral consequence (Fig. 1G–K, Supplementary Fig. 4). We measured anxiety-like behavior using the novelty suppressed feeding test [45]. Ablation of mPFCCRF1+ neurons decreased latency to feed in the arena, suggesting a decrease in anxiety-like behavior (Fig. 1I). No difference in latency to feed in the home cage was observed, suggesting a similar motivation for food. We also measured ethanol place conditioning to assess conditioned ethanol reward. Control mice preferred the ethanol-associated context, highlighting the conditioned reinforcing properties of ethanol (Fig. 1J, K). Remarkably, ablation of mPFCCRF1+ neurons induced a conditioned place aversion to the ethanol-associated context, suggesting conditioned aversion to ethanol. Together, these findings demonstrate that mPFCCRF1+ neurons regulate anxiety-like behaviors and conditioned rewarding effects of ethanol, supporting the potential role of this population in aberrant emotional processing in abstinence.
Withdrawal selectively decreases mPFCCRF1+ excitability
Since mPFCCRF1+ neurons regulate negative affective behaviors and reinforcing properties of ethanol that can contribute to relapse, we asked if this population undergoes specific neuroadaptations following withdrawal from chronic ethanol. We exposed male CRF1:GFP mice to chronic intermittent ethanol (CIE) inhalation to generate dependent and withdrawn mice that were 5–8 days into forced abstinence. We found that mPFCCRF1− pyramidal neuron excitability is increased in dependent and withdrawn mice (Fig. 2A, B). Electrophysiological properties are summarized in Supplementary Table 2. Overall, mPFCCRF1− neuronal excitability is increased by ethanol dependence and withdrawal.
We then selectively recorded from neighboring mPFCCRF1+ pyramidal neurons and found no significant effect of ethanol dependence on neuronal excitability (Fig. 2C, D). Notably, withdrawal markedly decreased mPFCCRF1+ excitability compared to naïve, pointing to the selective sensitivity of mPFCCRF1+ neurons to withdrawal. Interestingly, there was a significant reduction in initial action potential amplitude in mPFCCRF1+ neurons during withdrawal, suggesting ion channel expression and/or kinetics may partly underlie the observed decreased excitability (Supplementary Table 2, Fig. 4). These data suggest that mPFCCRF1+ neurons are particularly sensitive to withdrawal from chronic ethanol and undergo distinct neuroadaptations in excitability in response to ethanol withdrawal.
Withdrawal selectively decreases post-synaptic glutamate transmission in mPFCCRF1+ neurons, which is partly mediated by the basolateral amygdala
Given that CRF signaling remodels spine density contributing to anxiety-like behaviors [46, 47], we next asked whether chronic ethanol alters glutamatergic singling in mPFCCRF1+ pyramidal neurons in male CRF1:GFP mice. We found that mPFCCRF1− neurons displayed a trend toward and a significant increase in sEPSCs frequency in dependent and withdrawn mice, respectively, indicative of increased presynaptic glutamate release (Fig. 3A, B). mPFCCRF1− neurons also displayed increased sEPSC amplitude and current kinetics in dependent as well as withdrawn mice, suggesting enhanced postsynaptic glutamatergic signaling (Fig. 3C, Supplementary Fig. 5). Similar to mPFCCRF1− neurons, dependence increased sEPSC frequency, amplitude, and kinetics in mPFCCRF1+ pyramidal neurons compared to naïve (Fig. 3D–F, Supplementary Fig. 5). However, the increase in sEPSC frequency was lost in withdrawn mice and significant decreases in sEPSC amplitude and current kinetics were observed, suggesting a decrease in postsynaptic glutamate transmission in mPFCCRF1+ neurons in withdrawal. Together, these findings further highlight the unique sensitivity of mPFCCRF1+ neurons to withdrawal and point to reduced glutamatergic signaling in this population as a potential mechanism underlying heightened anxiety-like behavior in withdrawal.
The BLA and mPFC show excitatory coupling and enhanced activity during anxiety, and activation of BLA inputs to the mPFC induces anxiety-like behaviors [48, 49], suggesting the BLA-mPFC circuit is a candidate in underlying aberrant emotional processing following withdrawal. To measure BLA-mPFCCRF1+ connectivity, we expressed ChR2-mCherry in the BLA of CRF:GFP mice (Fig. 3G) and measured light-evoked post-synaptic potentials in mPFCCRF1+ neurons. Blue light reliably elicited time-locked photocurrents in mCherry-expressing BLA neurons, demonstrating precise control of BLA neuronal activity (Fig. 3H). To assess presynaptic BLA-mediated glutamate release onto mPFCCRF1+ neurons, we measured responses in mPFCCRF1+ neurons to optical paired pulse stimulation of BLA terminals in the mPFC (Fig. 3I, J). The paired pulse ratio was significantly increased in dependent and withdrawn mice, suggesting a decrease in glutamate release onto mPFCCRF1+ neurons following chronic ethanol. To assess postsynaptic alterations in BLA-mPFCCRF1+ connectivity, we measured optically evoked mono-synaptic AMPA and NMDA currents in mPFCCRF1+ neurons (Fig. 3K, L). NMDA amplitude was significantly decreased, and correspondingly the AMPA/NMDA ratio was significantly increased in withdrawn mice compared to naïve, indicating a selective decrease in postsynaptic glutamate transmission in the BLA-mPFCCRF1+ pathway in withdrawn mice. Together, these findings demonstrate that the upstream BLA, which directly innervates mPFCCRF1+ neurons, is dysregulated by dependence and that this dysregulation persists into withdrawal. Dysregulation of the BLA temporally precedes the selective dysregulation of mPFCCRF1+ neurons in withdrawal, suggesting that the BLA partly drives aberrant activity of mPFCCRF1+ neurons in withdrawal.
Since CRF-CRF1 signaling can potently modulate neuronal activity and synaptic plasticity [11, 50, 51], we also examined the impact of CRF on the BLA-mPFCCRF1+ pathway. CRF (200 nM) potentiated BLA-mediated AMPA currents in mPFCCRF1+ neurons in naïve mice (Fig. 3M, N), which was abolished by dependence, but recovers in withdrawal, suggesting a transient neuroadaptation to CRF signaling in mPFCCRF1+ neurons. CRF did not significantly alter BLA-mediated NMDA currents or the paired pulse ratio (Supplementary Fig. 6). Of note, CRF does not significantly alter global miniature EPSCs (mEPSCs) in mPFCCRF1+ neurons from naïve or dependent mice, but selectively potentiates mEPSCs in withdrawal (Supplementary Fig. 7). Together these findings demonstrate that CRF can potentiate BLA-mPFCCRF1+ connectivity.
Withdrawal from chronic ethanol alters the transcriptome of mPFCCRF1+ neurons – upregulating CSF1
To gain mechanistic insight into the observed electrophysiological neuroadaptations, we sequenced the transcriptome of mPFCCRF1+ neurons from naïve and withdrawn mice. Using male CRF1:GFP mice, we sequenced RNA from mPFCCRF1+ neurons isolated using fluorescence-activated cell sorting (Fig. 4A). We detected over forty-thousand genes and found 344 significant differentially expressed genes (DEGs) (Fig. 4B). We then identified pathways, hub genes, and functional processes most impacted by withdrawal from chronic ethanol in mPFCCRF1+ neurons (Fig. 4C-E). From these analyses and a literature review, we identified an intriguing candidate, colony stimulating factor 1 (CSF1) for further in-depth analysis. CSF1 is highlighted in yellow throughout Fig. 4. We first identified the most significantly impacted pathways based on the DEGs (Fig. 4, Supplementary Table 4). CSF1 is included in the gene list comprising the PI3K-Akt signaling pathway, which was one of the top ten impacted pathways (Fig. 4Cinset). In addition, several other signaling, peptide, and immune pathways were identified along with a specific alcoholism pathway, highlighting a central role of mPFCCRF1+ neurons in an AUD phenotype (Supplementary Table 4). Network analysis of DEGs revealed the known interactions and relationships between genes (Fig. 4D). Notably, CSF1 is a hub gene, indicated by its centrality in the network showing a high degree of connectivity among the DEGs. Lastly, to identify the functional processes in mPFCCRF1+ neurons that are most impacted by withdrawal from chronic ethanol, we used gene ontology (GO) analysis. The top ten GO terms within the three domains including: biological processes, molecular functions, and cellular components that are significantly overrepresented in the set of DEGs were identified (Fig. 4E). CSF1 is among the top ten GO terms for biological processes and many of the GO terms for molecular components as well. These data highlight the fundamental neurobiological adaptations induced by withdrawal from chronic ethanol in mPFCCRF1+ neurons, and recruitment of CSF1 as a candidate gene that could underlie critical neuroadaptations driving aberrant behavior.
CSF1 overexpression in mPFCCRF1+ decreases post-synaptic glutamate transmission and is sufficient to increase anxiety-like behavior while abolishing conditioned ethanol reward
Notably, CSF1 is upregulated by mPFC neurons following stress leading to microglia-mediated spine pruning underlying anxiety- and depressive-like behaviors [52]. Therefore, we hypothesized that upregulation of CSF1, as revealed by our transcriptomic analysis, may be a mechanism underlying the reduced post-synaptic glutamate transmission observed selectively in mPFCCRF1+ pyramidal neurons following withdrawal (Fig. 3D; Supplementary Fig. 5). To test this, we selectively overexpressed CSF1 in mPFCCRF1+ neurons, using female CRF1:Cre mice, and used whole-cell patch-clamp electrophysiology to assess mEPSCs (Fig. 5A; Supplementary Fig. 8). We found that CSF1 overexpression in mPFCCRF1+ neurons decreased mEPSC amplitude and decay kinetics compared to control but did not alter mEPSC frequency or rise kinetics (Fig. 5B–E). CSF1 overexpression in mPFCCRF1+ neurons did not significantly alter excitability of mPFCCRF1+ or mPFCCRF1− neurons (Supplementary Table 5; Supplementary Fig. 9). These data show that CSF1 overexpression in mPFCCRF1+ neurons reduce post-synaptic glutamate transmission, identifying a potential mechanism underlying the reduced glutamatergic signaling selectively observed in this population following withdrawal.
We then asked if CSF1 overexpression in mPFCCRF1+ neurons is sufficient to alter behavior (Fig. 5F–I; Supplementary Fig. 10). Immunohistochemical staining confirmed mPFC CSF1 overexpression in CSF1-mCherry compared to mCherry control mice (Fig. 5F). We found that CSF1 overexpression significantly increased the latency to feed in an open arena in the novelty-suppressed feeding test, suggesting an increase in anxiety-like behavior (Fig. 5G). CSF1 overexpression in mPFCCRF1+ neurons abolished ethanol place preference, suggesting a loss in the reinforcing properties of ethanol (Fig. 5H, I). These findings demonstrate that CSF1 overexpression in mPFCCRF1+ neurons is sufficient to induce anxiety-like behaviors and abolish the rewarding properties of ethanol, providing mechanistic insight into the regulation of these aberrant behaviors following ethanol withdrawal.
Discussion
This study pinpoints behaviorally relevant molecular-, cell-type-, and circuit- specific adaptations selectively induced by withdrawal from chronic ethanol which underlie negative affective behavior and conditioned ethanol reward. We found that mPFCCRF1+ neurons display decreased excitability and glutamatergic transmission in withdrawal, suggesting that they comprise a distinct population highly vulnerable to ethanol withdrawal. Moreover, we found that the BLA in part drives the downstream dysregulation of mPFCCRF1+ neurons in withdrawal. Ablation of mPFCCRF1+ neurons decreased anxiety-like behavior and induced conditioned aversion to ethanol, supporting a unique role of mPFCCRF1+ neurons in AUD-related behaviors. Notably, we found that ethanol withdrawal fundamentally alters the neurobiology of mPFCCRF1+ neurons including overexpression of colony stimulating factor 1. Selective overexpression of CSF1 in mPFCCRF1+ neurons was sufficient to decrease postsynaptic glutamate transmission and induce behavioral deficits in anxiety and conditioned ethanol reward, providing mechanistic insight into the observed withdrawal-associated neuroadaptations in glutamate transmission and aberrant behavior. Taken together, we have identified a distinct mPFC CRF1-expressing subpopulation in the BLA-mPFC circuit that undergoes specific neuroadaptations following ethanol withdrawal, potentially underlying increased vulnerability to relapse during abstinence.
The CRF-CRF1 system is prominently expressed in the mPFC and serves as a potent regulator of neuronal activity, structural and functional plasticity, and emotional and cognitive behaviors. Stress-induced CRF-CRF1 signaling results in mPFC and hippocampal dendritic atrophy underlying anxiety and memory deficits [46, 47]. Consistent with CRF’s role in synaptic remodeling [53], we found that mPFCCRF1+ neurons have reduced basal postsynaptic glutamatergic transmission, possibly due to ongoing basal CRF-CRF1 signaling regulating spine density. CRF also increases mPFC neuronal excitability [19, 20]. Accordingly, mPFCCRF1+ had a depolarized resting membrane potential, potentially due to basal CRF-CRF1 signaling induced persistent sodium or Ih current [19, 54–57]. Though, mPFCCRF1+ neurons exhibited overall reduced excitability, voltage sag, and glutamate transmission under basal conditions. Moreover, CRF modulates mPFC glutamate transmission. We found that CRF enhances BLA-mPFCCRF1+ connectivity. Notably, we didn’t observe a significant impact of CRF on global mEPSCs in mPFCCRF1+ neurons, suggesting that CRF may impact select circuits comprising mPFCCRF1+ neurons. Indeed, CRF-induced mPFC excitatory post-synaptic currents requires BLA input [58], suggesting that CRF may bias toward a greater influence of the BLA on mPFC activity. Given CRF’s neuromodulatory role, it is predictable that mPFC CRF-CRF1 signaling impacts behavior. Our findings further support a role for mPFCCRF1+ neurons in anxiety-like behavior and conditioned rewarding effects of ethanol, although it is possible that compenstatory changes may contribute to these behavioral effects. The pleiotropic effects of mPFC CRF-CRF1 signaling on neuronal physiology and AUD-related behaviors positions mPFCCRF1+ neurons to mediate aberrant behaviors underlying AUD.
While the CRF-CRF1 system has been strongly implicated in preclinical models of AUD particularly in limbic brain regions [11], considerably less is known about its role in the mPFC. Here we hypothesized that mPFCCRF1+ neurons are uniquely sensitive to chronic ethanol and undergo selective dysregulation underlying AUD-related behaviors. Our previous work demonstrated differential sensitivity in GABAergic signaling in CeACRF1+ neurons compared to CeACRF1− neurons to acute and chronic ethanol [36, 37]. In this study, mPFCCRF1+ neurons exhibited decreases in excitability and glutamate transmission selectively in withdrawal. In contrast, mPFCCRF1− displayed increases in excitability and glutamate transmission following dependence and withdrawal. This finding is consistent with previous work showing an increase in mPFC neuronal excitability following chronic intermittent ethanol exposure [59, 60], which may contribute to CIE-induced cognitive deficits [60–63]. This highlights the selective sensitivity of mPFCCRF1+ to withdrawal and its potential in uniquely contributing to AUD-related behaviors. Decreased mPFCCRF1+ excitability may be driven by changes in glutamatergic drive as well as in intrinsic properties. Indeed, transcriptomic analysis identified an increase in SCN5A, encoding the sodium channel Nav1.5, which may underlie the reduced action potential amplitude of mPFCCRF1+ neurons in withdrawal. Notably, withdrawal leads to the activation of mPFC CRF GABAergic neurons [32], which presumably innervate mPFCCRF1+ neurons and may also contribute to the reduced mPFCCRF1+ excitability in withdrawal, as we observed CRF decreases mPFCCRF1+ excitability. Further identification of the circuitry comprising mPFCCRF1+ neurons will provide a framework to understand the role of this population in AUD.
The BLA sends dense glutamatergic projections to the mPFC and contributes to anxiety-related behaviors and addiction [64]. We found that BLA-mPFCCRF1+ synapses undergo adaptations, suggesting a reduced probability of glutamate release from BLA terminals following chronic ethanol which persists into withdrawal. Post-synaptic BLA connections to mPFCCRF1+ neurons exclusively undergo adaptations in withdrawal, specifically a decrease in NMDA current leading to increased AMPA/NMDA ratio. The temporal sequence of these pathological synaptic adaptations suggests that the BLA partly drives the aberrant glutamatergic transmission observed in mPFCCRF1+ neurons following withdrawal. mPFC NMDA hypofunction is associated with cognitive impairment [65, 66] and increased opiate reward sensitivity, which is dependent on the BLA [67]. While not directly tested here, it is possible that reduced mPFCCRF1+ NMDA current following withdrawal may increase the rewarding properties of ethanol, given the role of mPFCCRF1+ neurons in conditioned ethanol reward. A global understanding of the neurobiological changes will provide insight into concurrent mechanisms driving aberrant behavior.
To examine global molecular changes associated with withdrawal selectively in mPFCCRF1+ neurons, we used cell-type specific transcriptomic analysis. Notably, overrepresented transcriptomic changes in this single, specific mPFCCRF1+ population were sufficient to identify a significant perturbation in biological pathways associated with ‘alcoholism’, supporting the role of this population in AUD. Interestingly, the PI3K-Akt pathway, a highly impacted pathway by withdrawal, has previously been identified as a mPFC molecular mechanism underlying ethanol intake and anxiety in withdrawal [68]. In addition, our bioinformatic analysis identified CSF1, a neuroimmune mediator important for the development and maintenance of microglia, as a hub gene [69]. Indeed, stress-induced increases in mPFC CSF1 expression leads to microglia-mediated synaptic pruning, and CSF1 knockdown was sufficient to reverse stress-induced anxiety and depressive behaviors [52]. We found that CSF1 overexpression in mPFCCRF1+ neurons was sufficient to induce decreased postsynaptic glutamate transmission in this population, supporting a microglia-mediated mechanism underlying synaptic adaptations. In line with this, withdrawal from chronic ethanol increases mPFC microglial reactivity [70, 71]. Indeed, mPFCCRF1+ CSF1 overexpression increases anxiety-like behavior, highlighting CSF1 overexpression as a critical neuroadaptation that may contribute to negative affect in withdrawal. Note, CSF1 overexpression also induced a loss of the conditioned rewarding effects of ethanol. While this may appear counterintuitive with the anxiogenic effects of CSF1 overexpression, this finding is consistent with a shift in negative reinforcement driven drinking, rather than the rewarding effects of ethanol itself, following chronic ethanol [11, 72, 73]. Thus, CSF1 overexpression in mPFCCRF1+ neurons induced by withdrawal from chronic ethanol may drive escalated drinking by increasing negative affective states, contributing to negative reinforcement mechanisms motivating drinking in AUD.
Our findings suggest that mPFCCRF1+ regulate anxiety-like behavior, due to the observed decreases in anxiety-like behavior following ablation of this population. These findings suggest that synaptic adaptations in mPFCCRF1+ neurons may contribute to heightened anxiety following withdrawal. Indeed, we demonstrated that withdrawal-induced molecular adaptations in CSF1 expression in mPFCCRF1+ neurons are sufficient to heighten anxiety and recapitulate the reduced postsynaptic glutamate transmission seen in this population in withdrawal. Together, mPFCCRF1+ neurons regulate withdrawal-related ethanol drinking and anxiety-like behaviors and undergo unique adaptations following withdrawal from chronic ethanol exposure that may increase vulnerability to relapse.
Of note, while both male and female mice were used, all electrophysiological data and mPFCCRF1+ ablation behavioral experiment were conducted in male mice, while CSF1 overexpression behavioral experiments were conducted in female mice. We found that mPFCCRF1+ ablation and CSF1 overexpression studies both altered behavior in the novelty-suppressed feeding test, suggesting this population regulates anxiety-like behavior in both male and female mice. Although, there are sex differences in mPFC circuits and anxiety-like behavior [20, 74, 75], which may contribute to the findings in this study. Future studies are warranted to explore potential sex differences in the role of mPFCCRF1+ population.
While preclinical studies suggest that the CRF-CRF1 system is critical in AUD-related behavior, it has not yet been successful in a clinical setting [76, 77]. Therefore, it is imperative to find novel targets that may be translated in the clinic. Here, we rationalized the mPFCCRF1+ neurons are responsive to the brain stress signal CRF and used transcriptomics to identify other potential molecular targets for therapeutic intervention. Our findings suggest that CSF1, which has been a target of interest for cancers, Alzheimer’s disease, and other disorders [78, 79], may be a novel target to alleviate negative affect during withdrawal from chronic alcohol exposure contributing to relapse-like behavior.
Supplementary information
Acknowledgements
This work was supported by NIH/NIAAA grants AA021491, AA017447, AA015566, AA006420, AA013498, AA026685, AA012404, AA020926, AA027700, AA029841, K99 AA029180, F32 AA026765, T32 AA007456, and The Pearson Center for Alcoholism and Addiction Research. We would also like to thank the Animal Models, Flow Cytometry, Next Generation Sequencing, and the Center for Computational Biology and Bioinformatics Cores at the Scripps Research Institute with a special thanks to Salvador Huitron-Resendiz, Ilham Polis, Stephanie E. Krause, Brian Seegers, Dr. Tony Mondala, and Dr. Padma Natarajan. We would also like to thank Max Kreifeldt for generating vapor mice, Drs. Sohyon Lee and Kristin Baldwin for invaluable advice on FACS experiments, Joy Xu for CSF1 validation, Dr. Silke Paust for access to her Vectra Polaris Imaging System, Dr. Larry S. Zweifel for the generous gift of CRF1-Cre breeder pairs, and the late Dr. Wylie Vale for the generous gift of CRF1-GFP breeders. We would like to acknowledge Dr. Karl Deisseroth and Dr. Niaro Shah for contributing viral vectors constructs of channelrhodopsin-2 and taCasp3-TEVp purchased from University of North Carolina vector core. This is manuscript #29993 from The Scripps Research Institute.
Author contributions
RRP and MR conceptualized and supervised the project. RRP, AD, SH, CC, RDM, AJR, and MR contributed to experimental design. RRP, SAW, VB, PJG, LR, AES, SD, MB, CC, and AJR collected data. RRP, SAW, PJG, AD, RDM, and AJR analyzed data. R.R.P. prepared data visualizations and drafted the manuscript. RRP, SAW, VB, PJG, LR, AES, SD, MB, AD, SH, CC, RDM, AJR, and MR reviewed and edited the manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
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Supplementary information
The online version contains supplementary material available at 10.1038/s41380-022-01642-3.
References
- 1.Jernigan TL, Butters N, DiTraglia G, Schafer K, Smith T, Irwin M, et al. Reduced cerebral grey matter observed in alcoholics using magnetic resonance imaging. Alcohol Clin. Exp. Res. 1991;15:418–27. doi: 10.1111/j.1530-0277.1991.tb00540.x. [DOI] [PubMed] [Google Scholar]
- 2.de la Monte SM. Disproportionate atrophy of cerebral white matter in chronic alcoholics. Arch. Neurol. 1988;45:990–2. doi: 10.1001/archneur.1988.00520330076013. [DOI] [PubMed] [Google Scholar]
- 3.Pfefferbaum A, Sullivan EV, Mathalon DH, Lim KO. Frontal lobe volume loss observed with magnetic resonance imaging in older chronic alcoholics. Alcohol Clin. Exp. Res. 1997;21:521–9. doi: 10.1111/j.1530-0277.1997.tb03798.x. [DOI] [PubMed] [Google Scholar]
- 4.Harris GJ, Jaffin SK, Hodge SM, Kennedy D, Caviness VS, Marinkovic K, et al. Frontal white matter and cingulum diffusion tensor imaging deficits in alcoholism. Alcohol Clin. Exp. Res. 2008;32:1001–13. doi: 10.1111/j.1530-0277.2008.00661.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Kril JJ, Gundlach AL, Dodd PR, Johnston GA, Harper CG. Cortical dihydropyridine binding sites are unaltered in human alcoholic brain. Ann. Neurol. 1989;26:395–7. doi: 10.1002/ana.410260315. [DOI] [PubMed] [Google Scholar]
- 6.Goldstein RZ, Volkow ND. Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nat. Rev. Neurosci. 2011;12:652–69. doi: 10.1038/nrn3119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hare BD, Duman RS. Prefrontal cortex circuits in depression and anxiety: contribution of discrete neuronal populations and target regions. Mol. Psychiatry. 2020;25:2742–58. doi: 10.1038/s41380-020-0685-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Klenowski PM. Emerging role for the medial prefrontal cortex in alcohol-seeking behaviors. Addict. Behav. 2018;77:102–6. doi: 10.1016/j.addbeh.2017.09.024. [DOI] [PubMed] [Google Scholar]
- 9.Blaine SK, Sinha R. Alcohol, stress, and glucocorticoids: From risk to dependence and relapse in alcohol use disorders. Neuropharmacology. 2017;122:136–47. doi: 10.1016/j.neuropharm.2017.01.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Cui C, Noronha A, Warren KR, Koob GF, Sinha R, Thakkar M, et al. Brain pathways to recovery from alcohol dependence. Alcohol. 2015;49:435–52. doi: 10.1016/j.alcohol.2015.04.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Koob GF, Buck CL, Cohen A, Edwards S, Park PE, Schlosburg JE, et al. Addiction as a stress surfeit disorder. Neuropharmacology. 2014;76:370–82. doi: 10.1016/j.neuropharm.2013.05.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Roberto M, Spierling SR, Kirson D, Zorrilla EP. Corticotropin-Releasing Factor (CRF) and Addictive Behaviors. Int. Rev. Neurobiol. 2017;136:5–51. doi: 10.1016/bs.irn.2017.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Roberto M, Cruz MT, Gilpin NW, Sabino V, Schweitzer P, Bajo M, et al. Corticotropin releasing factor-induced amygdala gamma-aminobutyric Acid release plays a key role in alcohol dependence. Biol. Psychiatry. 2010;67:831–9. doi: 10.1016/j.biopsych.2009.11.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Behan DP, De Souza EB, Lowry PJ, Potter E, Sawchenko P, Vale WW. Corticotropin releasing factor (CRF) binding protein: a novel regulator of CRF and related peptides. Front. Neuroendocrinol. 1995;16:362–82. doi: 10.1006/frne.1995.1013. [DOI] [PubMed] [Google Scholar]
- 15.Swanson LW, Sawchenko PE, Rivier J, Vale WW. Organization of ovine corticotropin-releasing factor immunoreactive cells and fibers in the rat brain: an immunohistochemical study. Neuroendocrinology. 1983;36:165–86. doi: 10.1159/000123454. [DOI] [PubMed] [Google Scholar]
- 16.De Souza EB, Insel TR, Perrin MH, Rivier J, Vale WW, Kuhar MJ. Corticotropin-releasing factor receptors are widely distributed within the rat central nervous system: an autoradiographic study. J. Neurosci. 1985;5:3189–203. doi: 10.1523/JNEUROSCI.05-12-03189.1985. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chalmers DT, Lovenberg TW, De Souza EB. Localization of novel corticotropin-releasing factor receptor (CRF2) mRNA expression to specific subcortical nuclei in rat brain: comparison with CRF1 receptor mRNA expression. J. Neurosci. 1995;15:6340–50. doi: 10.1523/JNEUROSCI.15-10-06340.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Van Pett K, Viau V, Bittencourt JC, Chan RK, Li HY, Arias C, et al. Distribution of mRNAs encoding CRF receptors in brain and pituitary of rat and mouse. J Comp Neurol. 2000;428:191–212. doi: 10.1002/1096-9861(20001211)428:2<191::AID-CNE1>3.0.CO;2-U. [DOI] [PubMed] [Google Scholar]
- 19.Gallopin T, Geoffroy H, Rossier J, Lambolez B. Cortical sources of CRF, NKB, and CCK and their effects on pyramidal cells in the neocortex. Cereb. Cortex. 2006;16:1440–52. doi: 10.1093/cercor/bhj081. [DOI] [PubMed] [Google Scholar]
- 20.Li K, Nakajima M, Ibanez-Tallon I, Heintz N. A Cortical Circuit for Sexually Dimorphic Oxytocin-Dependent Anxiety Behaviors. Cell. 2016;167:60–72.e11. doi: 10.1016/j.cell.2016.08.067. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yan XX, Baram TZ, Gerth A, Schultz L, Ribak CE. Co-localization of corticotropin-releasing hormone with glutamate decarboxylase and calcium-binding proteins in infant rat neocortical interneurons. Exp. Brain Res. 1998;123:334–40. doi: 10.1007/s002210050576. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Miguel TT, Gomes KS, Nunes-de-Souza RL. Tonic modulation of anxiety-like behavior by corticotropin-releasing factor (CRF) type 1 receptor (CRF1) within the medial prefrontal cortex (mPFC) in male mice: role of protein kinase A (PKA) Horm. Behav. 2014;66:247–56. doi: 10.1016/j.yhbeh.2014.05.003. [DOI] [PubMed] [Google Scholar]
- 23.Meloni EG, Reedy CL, Cohen BM, Carlezon WA., Jr Activation of raphe efferents to the medial prefrontal cortex by corticotropin-releasing factor: correlation with anxiety-like behavior. Biol. Psychiatry. 2008;63:832–9. doi: 10.1016/j.biopsych.2007.10.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Jaferi A, Bhatnagar S. Corticotropin-releasing hormone receptors in the medial prefrontal cortex regulate hypothalamic-pituitary-adrenal activity and anxiety-related behavior regardless of prior stress experience. Brain Res. 2007;1186:212–23. doi: 10.1016/j.brainres.2007.07.100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bijlsma EY, van Leeuwen ML, Westphal KG, Olivier B, Groenink L. Local repeated corticotropin-releasing factor infusion exacerbates anxiety- and fear-related behavior: differential involvement of the basolateral amygdala and medial prefrontal cortex. Neuroscience. 2011;173:82–92. doi: 10.1016/j.neuroscience.2010.11.026. [DOI] [PubMed] [Google Scholar]
- 26.Refojo D, Schweizer M, Kuehne C, Ehrenberg S, Thoeringer C, Vogl AM, et al. Glutamatergic and dopaminergic neurons mediate anxiogenic and anxiolytic effects of CRHR1. Science. 2011;333:1903–7. doi: 10.1126/science.1202107. [DOI] [PubMed] [Google Scholar]
- 27.Uribe-Marino A, Gassen NC, Wiesbeck MF, Balsevich G, Santarelli S, Solfrank B, et al. Prefrontal cortex corticotropin-releasing factor receptor 1 conveys acute stress-induced executive dysfunction. Biol. Psychiatry. 2016;80:743–53. doi: 10.1016/j.biopsych.2016.03.2106. [DOI] [PubMed] [Google Scholar]
- 28.Wang XD, Chen Y, Wolf M, Wagner KV, Liebl C, Scharf SH, et al. Forebrain CRHR1 deficiency attenuates chronic stress-induced cognitive deficits and dendritic remodeling. Neurobiol. Dis. 2011;42:300–10. doi: 10.1016/j.nbd.2011.01.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Hupalo S, Martin AJ, Green RK, Devilbiss DM, Berridge CW. Prefrontal Corticotropin-Releasing Factor (CRF) Neurons Act Locally to Modulate Frontostriatal Cognition and Circuit Function. J. Neurosci. 2019;39:2080–90. doi: 10.1523/JNEUROSCI.2701-18.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Hupalo S, Berridge CW. Working Memory Impairing Actions of Corticotropin-Releasing Factor (CRF) Neurotransmission in the Prefrontal Cortex. Neuropsychopharmacology. 2016;41:2733–40. doi: 10.1038/npp.2016.85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Chen P, Lou S, Huang ZH, Wang Z, Shan QH, Wang Y, et al. Prefrontal cortex corticotropin-releasing factor neurons control behavioral style selection under challenging situations. Neuron. 2020 doi: 10.1016/j.neuron.2020.01.033. [DOI] [PubMed] [Google Scholar]
- 32.George O, Sanders C, Freiling J, Grigoryan E, Vu S, Allen CD, et al. Recruitment of medial prefrontal cortex neurons during alcohol withdrawal predicts cognitive impairment and excessive alcohol drinking. Proc Natl. Acad. Sci. USA. 2012;109:18156–61. doi: 10.1073/pnas.1116523109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ketchesin KD, Stinnett GS, Seasholtz AF. Binge drinking decreases corticotropin-releasing factor-binding protein expression in the medial prefrontal cortex of mice. Alcohol Clin Exp. Res. 2016;40:1641–50. doi: 10.1111/acer.13119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ketchesin KD, Huang NS, Seasholtz AF. Cell type-specific expression of corticotropin-releasing hormone-binding protein in GABAergic interneurons in the prefrontal cortex. Front Neuroanat. 2017;11:90. doi: 10.3389/fnana.2017.00090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Wolfe, SA, Sidhu, H, Patel, RR, Kreifeldt, M, D’Ambrosio, SR, Contet, C, et al. Molecular, morphological, and functional characterization of corticotropin-releasing factor receptor 1-expressing neurons in the central nucleus of the amygdala. eNeuro 6, 10.1523/ENEURO.0087-19.2019 (2019). [DOI] [PMC free article] [PubMed]
- 36.Herman MA, Contet C, Justice NJ, Vale W, Roberto M. Novel subunit-specific tonic GABA currents and differential effects of ethanol in the central amygdala of CRF receptor-1 reporter mice. J Neurosci. 2013;33:3284–98. doi: 10.1523/JNEUROSCI.2490-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Herman MA, Contet C, Roberto M. A functional switch in tonic GABA currents alters the output of central Amygdala corticotropin releasing factor receptor-1 neurons following chronic ethanol exposure. J Neurosci. 2016;36:10729–41. doi: 10.1523/JNEUROSCI.1267-16.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Justice NJ, Yuan ZF, Sawchenko PE, Vale W. Type 1 corticotropin-releasing factor receptor expression reported in BAC transgenic mice: implications for reconciling ligand-receptor mismatch in the central corticotropin-releasing factor system. J Comp Neurol. 2008;511:479–96. doi: 10.1002/cne.21848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Agoglia, AE, Zhu, M, Ying, R, Sidhu, H, Natividad, LA, Wolfe, SA, et al. Corticotropin-releasing factor receptor-1 neurons in the lateral amygdala display selective sensitivity to acute and chronic ethanol exposure. eNeuro 7, 10.1523/ENEURO.0420-19.2020 (2020). [DOI] [PMC free article] [PubMed]
- 40.Warden AS, Wolfe SA, Khom S, Varodayan FP, Patel RR, Steinman MQ, et al. Microglia control escalation of drinking in alcohol-dependent mice: Genomic and synaptic drivers. Biol Psychiatry. 2020 doi: 10.1016/j.biopsych.2020.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Patel RR, Khom S, Steinman MQ, Varodayan FP, Kiosses WB, Hedges DM, et al. IL-1beta expression is increased and regulates GABA transmission following chronic ethanol in mouse central amygdala. Brain Behav. Immun. 2019;75:208–19. doi: 10.1016/j.bbi.2018.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Patel, RR, Wolfe, SA, Bajo, M, Abeynaike, S, Pahng, A, Borgonetti, V, et al. IL-10 normalizes aberrant amygdala GABA transmission and reverses anxiety-like behavior and dependence-induced escalation of alcohol intake. Prog. Neurobiol. 101952, 10.1016/j.pneurobio.2020.101952 (2020). [DOI] [PMC free article] [PubMed]
- 43.Tsunemoto R, Lee S, Szucs A, Chubukov P, Sokolova I, Blanchard JW, et al. Diverse reprogramming codes for neuronal identity. Nature. 2018;557:375–80. doi: 10.1038/s41586-018-0103-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Love MI, Huber W, and Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 10.1186/s13059-014-0550-8 (2014). [DOI] [PMC free article] [PubMed]
- 45.Dulawa SC, Hen R. Recent advances in animal models of chronic antidepressant effects: The novelty-induced hypophagia test. Neurosci Biobehav Rev. 2005;29:771–83. doi: 10.1016/j.neubiorev.2005.03.017. [DOI] [PubMed] [Google Scholar]
- 46.Dong H, Keegan JM, Hong E, Gallardo C, Montalvo-Ortiz J, Wang B, et al. Corticotrophin releasing factor receptor 1 antagonists prevent chronic stress-induced behavioral changes and synapse loss in aged rats. Psychoneuroendocrinology. 2018;90:92–101. doi: 10.1016/j.psyneuen.2018.02.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Chen Y, Rex CS, Rice CJ, Dube CM, Gall CM, Lynch G, et al. Correlated memory defects and hippocampal dendritic spine loss after acute stress involve corticotropin-releasing hormone signaling. Proc. Natl. Acad. Sci. USA. 2010;107:13123–8. doi: 10.1073/pnas.1003825107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Felix-Ortiz AC, Burgos-Robles A, Bhagat ND, Leppla CA, Tye KM. Bidirectional modulation of anxiety-related and social behaviors by amygdala projections to the medial prefrontal cortex. Neuroscience. 2016;321:197–209. doi: 10.1016/j.neuroscience.2015.07.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Marcus DJ, Bedse G, Gaulden AD, Ryan JD, Kondev V, Winters ND, et al. Endocannabinoid signaling collapse mediates stress-induced amygdalo-cortical strengthening. Neuron. 2020;105:1062–76e1066. doi: 10.1016/j.neuron.2019.12.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Varodayan FP, Correia D, Kirson D, Khom S, Oleata CS, Luu G, et al. CRF modulates glutamate transmission in the central amygdala of naive and ethanol-dependent rats. Neuropharmacology. 2017;125:418–28. doi: 10.1016/j.neuropharm.2017.08.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Natividad LA, Buczynski MW, Herman MA, Kirson D, Oleata CS, Irimia C, et al. Constitutive increases in amygdalar corticotropin-releasing factor and fatty acid amide hydrolase drive an anxious phenotype. Biol. Psychiatry. 2017;82:500–10. doi: 10.1016/j.biopsych.2017.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Wohleb ES, Terwilliger R, Duman CH, Duman RS. Stress-induced neuronal colony stimulating factor 1 provokes microglia-mediated neuronal remodeling and depressive-like behavior. Biol Psychiatry. 2018;83:38–49. doi: 10.1016/j.biopsych.2017.05.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Regev L, Baram TZ. Corticotropin releasing factor in neuroplasticity. Front. Neuroendocrinol. 2014;35:171–9. doi: 10.1016/j.yfrne.2013.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Libster AM, Title B, Yarom Y. Corticotropin-releasing factor increases Purkinje neuron excitability by modulating sodium, potassium, and Ih currents. J Neurophysiol. 2015;114:3339–50. doi: 10.1152/jn.00745.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Giesbrecht CJ, Mackay JP, Silveira HB, Urban JH, Colmers WF. Countervailing modulation of Ih by neuropeptide Y and corticotrophin-releasing factor in basolateral amygdala as a possible mechanism for their effects on stress-related behaviors. J Neurosci. 2010;30:16970–82. doi: 10.1523/JNEUROSCI.2306-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Wanat MJ, Hopf FW, Stuber GD, Phillips PE, Bonci A. Corticotropin-releasing factor increases mouse ventral tegmental area dopamine neuron firing through a protein kinase C-dependent enhancement of Ih. J. Physiol. 2008;586:2157–70. doi: 10.1113/jphysiol.2007.150078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Bajo M, Cruz MT, Siggins GR, Messing R, Roberto M. Protein kinase C epsilon mediation of CRF- and ethanol-induced GABA release in central amygdala. Proc. Natl. Acad. Sci. USA. 2008;105:8410–5. doi: 10.1073/pnas.0802302105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Liu RJ, Ota KT, Dutheil S, Duman RS, Aghajanian GK. Ketamine Strengthens CRF-Activated Amygdala Inputs to Basal Dendrites in mPFC Layer V Pyramidal Cells in the Prelimbic but not Infralimbic Subregion, A Key Suppressor of Stress Responses. Neuropsychopharmacology. 2015;40:2066–75. doi: 10.1038/npp.2015.70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Avchalumov Y, Oliver RJ, Trenet W, Heyer Osorno RE, Sibley BD, Purohit DC, et al. Chronic ethanol exposure differentially alters neuronal function in the medial prefrontal cortex and dentate gyrus. Neuropharmacology. 2021;185:108438. doi: 10.1016/j.neuropharm.2020.108438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Pleil KE, Lowery-Gionta EG, Crowley NA, Li C, Marcinkiewcz CA, Rose JH, et al. Effects of chronic ethanol exposure on neuronal function in the prefrontal cortex and extended amygdala. Neuropharmacology. 2015;99:735–49. doi: 10.1016/j.neuropharm.2015.06.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Hwa LS, Nathanson AJ, Shimamoto A, Tayeh JK, Wilens AR, Holly EN, et al. Aggression and increased glutamate in the mPFC during withdrawal from intermittent alcohol in outbred mice. Psychopharmacol (Berl) 2015;232:2889–902. doi: 10.1007/s00213-015-3925-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Kroener S, Mulholland PJ, New NN, Gass JT, Becker HC, Chandler LJ. Chronic alcohol exposure alters behavioral and synaptic plasticity of the rodent prefrontal cortex. PLoS One. 2012;7:e37541. doi: 10.1371/journal.pone.0037541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Varodayan FP, Sidhu H, Kreifeldt M, Roberto M, Contet C. Morphological and functional evidence of increased excitatory signaling in the prelimbic cortex during ethanol withdrawal. Neuropharmacology. 2018;133:470–80. doi: 10.1016/j.neuropharm.2018.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Lack AK, Christian DT, Diaz MR, McCool BA. Chronic ethanol and withdrawal effects on kainate receptor-mediated excitatory neurotransmission in the rat basolateral amygdala. Alcohol. 2009;43:25–33. doi: 10.1016/j.alcohol.2008.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Stefani MR, Moghaddam B. Systemic and prefrontal cortical NMDA receptor blockade differentially affect discrimination learning and set-shift ability in rats. Behav Neurosci. 2005;119:420–8. doi: 10.1037/0735-7044.119.2.420. [DOI] [PubMed] [Google Scholar]
- 66.Graybeal C, Kiselycznyk C, Holmes A. Stress-induced impairments in prefrontal-mediated behaviors and the role of the N-methyl-D-aspartate receptor. Neuroscience. 2012;211:28–38. doi: 10.1016/j.neuroscience.2012.02.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Bishop SF, Lauzon NM, Bechard M, Gholizadeh S, Laviolette SR. NMDA receptor hypofunction in the prelimbic cortex increases sensitivity to the rewarding properties of opiates via dopaminergic and amygdalar substrates. Cereb. Cortex. 2011;21:68–80. doi: 10.1093/cercor/bhq060. [DOI] [PubMed] [Google Scholar]
- 68.Qiao X, Gai H, Su R, Deji C, Cui J, Lai J, et al. PI3K-AKT-GSK3beta-CREB signaling pathway regulates anxiety-like behavior in rats following alcohol withdrawal. J. Affect Disord. 2018;235:96–104. doi: 10.1016/j.jad.2018.04.039. [DOI] [PubMed] [Google Scholar]
- 69.Chitu V, Gokhan S, Nandi S, Mehler MF, Stanley ER. Emerging Roles for CSF-1 Receptor and its Ligands in the Nervous System. Trends Neurosci. 2016;39:378–93. doi: 10.1016/j.tins.2016.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Sanchez-Alavez M, Nguyen W, Mori S, Wills DN, Otero D, Ehlers CL, et al. Time course of microglia activation and brain and blood cytokine/chemokine levels following chronic ethanol exposure and protracted withdrawal in rats. Alcohol. 2019;76:37–45. doi: 10.1016/j.alcohol.2018.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Zhao YN, Wang F, Fan YX, Ping GF, Yang JY, Wu CF. Activated microglia are implicated in cognitive deficits, neuronal death, and successful recovery following intermittent ethanol exposure. Behav. Brain Res. 2013;236:270–82. doi: 10.1016/j.bbr.2012.08.052. [DOI] [PubMed] [Google Scholar]
- 72.Cho SB, Su J, Kuo SI, Bucholz KK, Chan G, Edenberg HJ, et al. Positive and negative reinforcement are differentially associated with alcohol consumption as a function of alcohol dependence. Psychol. Addict. Behav. 2019;33:58–68. doi: 10.1037/adb0000436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Koob GF, Volkow ND. Neurocircuitry of addiction. Neuropsychopharmacology. 2010;35:217–38. doi: 10.1038/npp.2009.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Altemus M, Sarvaiya N, Neill Epperson C. Sex differences in anxiety and depression clinical perspectives. Front. Neuroendocrinol. 2014;35:320–30. doi: 10.1016/j.yfrne.2014.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Dachtler J, Fox K. Do cortical plasticity mechanisms differ between males and females? J. Neurosci. Res. 2017;95:518–26. doi: 10.1002/jnr.23850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Sanders J, Nemeroff C. The CRF system as a therapeutic target for neuropsychiatric disorders. Trends Pharm. Sci. 2016;37:1045–54. doi: 10.1016/j.tips.2016.09.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Shaham Y, de Wit H. Lost in translation: CRF1 receptor antagonists and addiction treatment. Neuropsychopharmacology. 2016;41:2795–7. doi: 10.1038/npp.2016.94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Hume DA, MacDonald KP. Therapeutic applications of macrophage colony-stimulating factor-1 (CSF-1) and antagonists of CSF-1 receptor (CSF-1R) signaling. Blood. 2012;119:1810–20. doi: 10.1182/blood-2011-09-379214. [DOI] [PubMed] [Google Scholar]
- 79.Cannarile MA, Weisser M, Jacob W, Jegg AM, Ries CH, Ruttinger D. Colony-stimulating factor 1 receptor (CSF1R) inhibitors in cancer therapy. J. Immunother Cancer. 2017;5:53. doi: 10.1186/s40425-017-0257-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Franklin, K. a. P., G. The Mouse Brain in Stereotaxic Coordinates. (2008).
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