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. 2018 Jun 26;7:e34135. doi: 10.7554/eLife.34135

Glucocorticoid receptor-mediated amygdalar metaplasticity underlies adaptive modulation of fear memory by stress

Ran Inoue 1,✉, Kareem Abdou 2,3, Ayumi Hayashi-Tanaka 1, Shin-ichi Muramatsu 4,5, Kaori Mino 1, Kaoru Inokuchi 2, Hisashi Mori 1
Editor: Julie A Kauer6
PMCID: PMC6019067  PMID: 29941090

Abstract

Glucocorticoid receptor (GR) is crucial for signaling mediated by stress-induced high levels of glucocorticoids. The lateral nucleus of the amygdala (LA) is a key structure underlying auditory-cued fear conditioning. Here, we demonstrate that genetic disruption of GR in the LA (LAGRKO) resulted in an auditory-cued fear memory deficit for strengthened conditioning. Furthermore, the suppressive effect of a single restraint stress (RS) prior to conditioning on auditory-cued fear memory in floxed GR (control) mice was abolished in LAGRKO mice. Optogenetic induction of long-term depression (LTD) at auditory inputs to the LA reduced auditory-cued fear memory in RS-exposed LAGRKO mice, and in contrast, optogenetic induction of long-term potentiation (LTP) increased auditory-cued fear memory in RS-exposed floxed GR mice. These findings suggest that prior stress suppresses fear conditioning-induced LTP at auditory inputs to the LA in a GR-dependent manner, thereby protecting animals from encoding excessive cued fear memory under stress conditions.

Research organism: Mouse

Introduction

Stress activates the hypothalamus–pituitary–adrenal (HPA) axis, which results in the release of glucocorticoid hormones (cortisol in humans and corticosterone in rodents) from the adrenal cortex. Glucocorticoid hormones can readily enter the brain and bind to specific receptors in regions crucial for memories of stressful experiences, such as the hippocampus and amygdala, thereby enhancing the consolidation of emotionally arousing events (de Quervain et al., 2009; Roozendaal et al., 2009). Two types of receptors mediate the effects of glucocorticoids: type I mineralocorticoid receptor (MR, Nr3c2) and type II glucocorticoid receptor (GR, Nr3c1). Compared with MR, GR has a lower binding affinity for glucocorticoids and is largely unoccupied at basal levels, and is thus considered to be particularly important in signaling mediated by stress-induced high levels of glucocorticoids (de Kloet et al., 2005; Reul and de Kloet, 1985).

The lateral nucleus of the amygdala (LA) is a key structure underlying auditory-cued fear conditioning (AFC) (LeDoux, 2000). Auditory information, which is critical for AFC, reaches the LA either from the medial geniculate nucleus (MGN) or from the auditory cortex (AC). Long-term potentiation (LTP) in the two auditory inputs to the LA is essential for the acquisition and expression of auditory-cued fear memory (Blair et al., 2001; Rogan et al., 1997; Tsvetkov et al., 2002). In response to stress, GR activation plays a central role in the formation of long-term memory, which is an essential mechanism for learning from stressful events and respond adaptively to similar demands in the future (Finsterwald and Alberini, 2014). In an electrophysiological study using brain slices, glucocorticoid prolonged excitatory synaptic responses in the basolateral complex of the amygdala (BLA) by binding to GR (Karst et al., 2010). In contrast, after an acute stress exposure, application of glucocorticoid suppressed excitatory synaptic responses in the BLA in a GR-dependent manner. This switch in synaptic response to glucocorticoid is referred to as metaplasticity (Abraham and Tate, 1997; Schmidt et al., 2013). Prior delivery of behavioral stress has also been shown to suppress subsequent induction of LTP (Kavushansky and Richter-Levin, 2006). However, whether stress-induced amygdalar metaplasticity occurs in vivo in a way relevant to the strength of the auditory-cued fear memory, and what role LAGR plays in this neural process are unknown.

In this study, we generated LA-selective GR knockout (LAGRKO) mice to investigate the region-specific role of LAGR in mediating the modulatory effects of stress on fear memory. We first compared contextual and auditory-cued fear memory conditioned at different strengths between floxed GR (control) and LAGRKO mice at basal condition. We then investigated the effect of LAGR disruption on the adaptive modulation of fear memory after exposure to acute stress. Finally, using an optogenetic technique to induce LTP and long-term depression (LTD), we investigated how GR-dependent metaplasticity in the LA influenced auditory-cued fear memory in response to prior stress exposure.

Results

Generation of LAGRKO mice

To selectively knockout the GR gene in the LA, we generated two mutant mouse lines. The knock-in line expressed improved Cre (iCre) recombinase (Shimshek et al., 2002) under the control of the gastrin-releasing peptide gene (Grp) promoter, and the animals are referred to as Grp-iCre mice (Figure 1A,B). Grp is abundant in the LA and absent or present at low levels in other subnuclei of the amygdala (Shumyatsky et al., 2002). Thus, Grp promoter could be used for driving the expression of Cre recombinase selectively in the LA. To confirm its usefulness, we crossed a Grp-iCre mouse with a CAG-CAT-Z reporter mouse, which carried the chloramphenicol acetyltransferase gene (CAT) flanked by two loxP sites and the β-galactosidase gene in sequence (Araki et al., 1995). Cre-mediated recombination between the two loxP sites resulted in the expression of β-galactosidase, which was detected by X-gal staining. As shown in Figure 1C, strong β-galactosidase expression was detected in the LA and hippocampal CA3 region of Grp-iCre/CAG-CAT-Z mice, indicating the presence of robust Cre-loxP recombination in these brain regions. In addition, sparse and weak expression of β-galactosidase appeared in the accessory basal nucleus of the amygdala and in layer 6 of the cerebral cortex.

Figure 1. Generation and characterization of Grp-iCre mice.

(A) Schematic diagram of the gene targeting strategy. iCre and pgk-neo cassettes flanked by two FRT sites were inserted into the gastrin-releasing peptide gene (Grp) locus. Met is the translation initiation site of Grp. The location of PCR primers (Gic1, Gic2, Gic3, NeoP1, and NeoP2) used for genotyping are indicated. DT, diphtheria toxin gene; pBSK, pBluescriptII SK. The chimeric mouse obtained was crossed with a CAG-FLPe mouse to delete the pgk-neo cassette and establish the Grp-iCre (Gic) mouse line. (B) Genotyping PCR of genomic DNA prepared from WT; Gic+/−, Neo+; Gic+/−, and ΔNeo mice. (C) Cre activity in Grp-iCre mice was examined by crossing Grp-iCre mice with lacZ reporter mice (CAG-CAT-Z) mice. β-galactosidase expression in a Grp-iCre/CAG-CAT-Z mouse brain stained with X-gal. X-gal staining revealed robust Cre-loxP recombination in the lateral nucleus of the amygdala (LA) and the hippocampal CA3 region, with sparser recombination in the accessary basal nucleus of the amygdala (AB), and in layer 6 of the cerebral cortex (VI).

Figure 1.

Figure 1—figure supplement 1. Generation of floxed GR mice.

Figure 1—figure supplement 1.

(A) Strategy for targeting the GR (Nr3c1) gene locus. The coding regions of GR exons are indicated by closed boxes. The construct included two loxP sites and the pgk-neo genes flanked by two FRT sites. DT, diphtheria toxin gene; pBSK, pBluescriptII SK; GR, glucocorticoid receptor. The chimeric mice obtained were crossed with CAG-FLP mice to delete the pgk-neo cassette and establish a floxed GR mouse line. (B) Genotyping PCR of genomic DNA prepared from WT, GRflox/+, Neo (+), GR flox/+, ΔNeo, and GR flox/flox, ΔNeo mice. The locations of PCR primers used are indicated.
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Next, we generated a floxed GR (Nr3c1loxP/loxP) mouse line in which exon 3 of the Nr3c1 gene (encoding the DNA-binding domain) was flanked by two loxP sites (Figure 1—figure supplement 1). Grp-iCre mice were crossed with floxed GR mice to establish the LAGRKO mouse line (Nr3c1loxP/loxP, GrpiCre+/−). Immunofluorescence staining with a specific antibody against GR revealed a selective disruption of GR proteins in the LA of LAGRKO mice (Figure 2A). There was no significant difference between the two genotypes in the expression level of GR in the central nucleus and basal nucleus of the amygdala. Double immunofluorescence staining with anti-GR and anti-NeuN (a neuronal marker) antibodies showed that GR was undetectable in approximately 70% of LA neurons in LAGRKO mice (floxed GR, 90.88 ± 1.39%; LAGRKO, 20.27 ± 0.95%; Figure 2A,B, Figure 2—figure supplement 1A). The expression level of GR in the hippocampal CA3 region of floxed GR mice was very low, and it was slightly decreased in LAGRKO mice (Figure 2C). There was no significant difference between the two genotypes in the expression level of GR in the cerebral cortex (Figure 2C, Figure 2—figure supplement 1B), hippocampal CA1 and CA2 regions, and dentate gyrus (Figure 2C). Collectively, these results indicate the successful establishment of a novel LAGRKO mouse line.

Figure 2. Generation and characterization of lateral amygdala (LA)-selective glucocorticoid receptor (GR) knockout (LAGRKO) mice.

(A) The LAGRKO mouse line (GRflox/flox, Grp-iCre+/-) was established by crossing floxed GR (GRflox/flox) and Grp-iCre mice. Double immunofluorescence staining of GR (green, left panels) and NeuN (magenta, middle panels) in coronal brain sections from floxed GR and LAGRKO mice. The overlap of green and magenta signals (white, right panels) indicates the expression of GR in LA neurons in floxed GR mice (upper), which was apparently reduced in LAGRKO mice (lower). Magnified images of the boxed areas are shown in the insets. LA, lateral nucleus of the amygdala; BA, basal nucleus of the amygdala; CeA, central nucleus of the amygdala. (B) Quantification of GR+ and NeuN+ cells in the LA of floxed GR and LAGRKO mice (n = 9 sections from three mice). Data are presented as mean ± S.E.M. **p<0.001. (C) Expression of GR in the cerebral cortex and hippocampus.

Figure 2—source data 1. Raw data for generating Figure 2B.
elife-34135-fig2-data1.xlsx (10KB, xlsx)
DOI: 10.7554/eLife.34135.006

Figure 2.

Figure 2—figure supplement 1. Expression of GR in the LA and cerebral cortex of floxed GR and LAGRKO mice.

Figure 2—figure supplement 1.

(A) Double immunofluorescence staining of GR (green, left panels) and NeuN (magenta, middle panels) in the LA. The overlap of green and magenta signals (white, right panels) indicates the expression of GR in neurons. Scale bar = 50 μm. (B) Expression of GR in the cerebral cortex. Scale bar = 100 μm.
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Disruption of LAGR impairs auditory-cued fear memory for strengthened conditioning

Since GR has a low binding affinity for glucocorticoids and its activation requires high levels of hormones, we investigated the role of LAGR in AFC at different strengths. After moderate conditioning, which included three CS ×US pairings, LAGRKO mice exhibited the same freezing levels as floxed GR mice during the training, contextual test, and auditory-cued test (Figure 3—figure supplement 1). When the training was strengthened to six CS × US pairings (Figure 3A), LAGRKO mice exhibited significantly lower freezing levels than floxed GR mice during tone presentation in the cued test (p=0.046; unpaired Student’s t test; Figure 3D), whereas there were no significant differences between the two genotypes in freezing levels during the training (F1,126 = 1.19, p=0.278; two-way repeated measures ANOVA; Figure 3B) and contextual test (p=0.803; unpaired Student’s t test; Figure 3C). Corticosterone assays revealed significantly higher plasma corticosterone levels 90 min after training with six CS × US pairings than after training with three CS × US pairings in both genotypes (floxed GR, p=0.016; LAGRKO, p<0.001; unpaired Student’s t test; Figure 3E). In the open field test, LAGRKO mice did not show any alteration in anxiety level or locomotion (Figure 3—figure supplement 2), suggesting that the deficit of auditory-cued fear memory in LAGRKO mice was not the result of altered anxiety and locomotor activity.

Figure 3. Genetic disruption of LAGR impairs auditory-cued fear memory following strengthened conditioning.

(A) Experimental protocol for fear conditioning. Mice were trained with a protocol using six CS × US pairings. Contextual and auditory-cued fear memory were tested 24 and 48 hr after training, respectively. Freezing levels during the training (B), contextual test (C), and cued test (D). During the cued test, LAGRKO mice (n = 10) exhibited significantly lower freezing levels in the presence of the tone than did floxed GR mice (n = 10). There was no significant difference in freezing levels between the two genotypes during the training and contextual test. (E) Plasma corticosterone levels 90 min after training were significantly higher in mice conditioned with six CS × US pairings (n = 7) than in mice conditioned with 3 CS × US pairings (n = 6) in both genotypes. Data are presented as mean ± S. E. M. *p<0.05, **p<0.001.

Figure 3—source data 1. Raw data for generating Figure 3B–E.
elife-34135-fig3-data1.xlsx (21.7KB, xlsx)
DOI: 10.7554/eLife.34135.010

Figure 3.

Figure 3—figure supplement 1. LAGRKO mice did not exhibit fear memory deficits with the moderate fear conditioning protocol.

Figure 3—figure supplement 1.

(A) Experimental design for fear conditioning. Mice were trained with three CS × US pairing protocol. Contextual and auditory fear memories were tested 24 and 48 hr after training, respectively. Freezing levels during the training (B), contextual test (C), and cued test (D). Data are presented as mean ± S. E. M. Floxed GR, n = 10; LAGRKO, n = 16. Data are presented as mean ± S. E. M.
Figure 3—figure supplement 2. LAGRKO mice exhibited no changes in locomotor activity and anxiety level as determined using the open field test.

Figure 3—figure supplement 2.

Distance of travel throughout the apparatus (A) and in the center zone of the open field (B) and time spent in the center of the open field (C) did not differ between the two genotypes. Floxed GR, n = 15; LAGRKO, n = 10. Data are presented as mean ± S. E. M.
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Injection of GR-expressing adeno-associated virus into the LA rescues the auditory-cued fear memory deficit in LAGRKO mice

Although we successfully and selectively disrupted GR in the LA of LAGRKO mice, we cannot exclude the possibility that sparse disruption of GR in other brain areas, such as the hippocampal CA3 region, may be associated with behavioral impairment in LAGRKO mice. To confirm that the auditory-cued fear memory deficit can be specifically attributed to the disruption of LAGR, we performed a rescue experiment by injecting a GR-expressing adeno-associated virus (AAV-GR) into the LA of LAGRKO mice. Green fluorescent protein-expressing AAV (AAV-GFP) was used as the control. Fear conditioning was conducted 4 weeks after virus injection (Figure 4A,B). LAGRKO mice injected with AAV-GR and floxed GR mice injected with AAV-GFP exhibited significantly higher freezing levels during the auditory-cued fear memory test than did LAGRKO mice injected with AAV-GFP (F2,24 = 5.25, p=0.013; one-way ANOVA followed by post hoc Tukey–Kramer test; Figure 4E). There was no significant difference in freezing levels between the three mouse groups during training (F2,168 = 0.60, p=0.522; two-way repeated measures ANOVA; Figure 4C) and the contextual fear memory test (F2,24 = 0.53, p=0.600; one-way ANOVA; Figure 4D). This rescue experiment further suggests the specific involvement of LAGR in AFC.

Figure 4. Rescue of the auditory-cued fear memory deficit in LAGRKO mice by restoring GR expression levels in the LA.

Figure 4.

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(A) The experimental protocol for adeno-associated virus (AAV) vector injection and fear conditioning. (B) Representative images of the expression of green fluorescent protein (GFP, green) and GR (magenta) in the LA of LAGRKO mice injected with AAV-GFP or AAV-GR. The expression levels of GFP and GR were assessed after the behavioral test was completed. Freezing levels during the training (C), contextual test (D), and cued test (E). During the cued test, LAGRKO mice (n = 9) injected with AAV-GR and floxed GR injected with AAV-GFP exhibited significantly higher levels of freezing in the presence of the tone than did AAV-GFP-injected LAGRKO mice (n = 9). There were no significant differences between the three groups during the training and contextual tests. Data are presented as mean ± S. E. M. *p<0.05.

Figure 4—source data 1. Raw data for generating Figure 4B–E.
elife-34135-fig4-data1.xlsx (15.5KB, xlsx)
DOI: 10.7554/eLife.34135.012

Disruption of LAGR impairs adaptive modulation of conditioned fear in response to prior restraint stress exposure

Fear conditioning is highly susceptible to modulation by prior stress exposure (Cordero et al., 2003; Rodríguez Manzanares et al., 2005). To investigate the involvement of LAGR in mediating the effect of prior stress on subsequent fear conditioning, floxed GR and LAGRKO mice were exposed to a 20 min restraint stress (RS) and conditioned 1 hr later (Figure 5A). Mice were conditioned with three CS × US pairings that resulted in equivalent freezing levels in floxed GR and LAGRKO mice in the contextual and auditory-cued fear memory tests (Figure 3—figure supplement 1). RS exposure 1 hr prior to fear conditioning induced a significant increase in freezing levels during the training (F3,215 = 32.25, p<0.001; two-way repeated measures ANOVA; Figure 5B) and contextual memory test (F3,43 = 5.03, p=0.004; one-way ANOVA followed by post hoc Tukey–Kramer test; Figure 5C) in both floxed GR and LAGRKO mice. In contrast to the facilitating effect of prior RS exposure on contextual fear memory, RS exposure 1 hr before fear conditioning induced a significant decrease in auditory-cued freezing in floxed GR mice but not in LAGRKO mice (floxed GR, p=0.016; LAGRKO, p=0.951; unpaired Student’s t test; Figure 5D), suggesting this suppressive effect is LAGR-dependent. In order to examine whether RS and AFC induce differences in the levels of circulating corticosterone, plasma corticosterone levels were measured 1 hr after RS exposure alone and 90 min after RS exposure followed by AFC. There was no significant difference in plasma corticosterone levels observed between floxed GR and LAGRKO mice at the two time points (1 hr after RS exposure alone, p=0.21; 90 min after RS exposure followed by AFC, p=0.67; unpaired Student’s t test; Figure 5—figure supplement 1).

Figure 5. Effect of acute prior stress on auditory-cued fear conditioning.

(A) The experimental design for prior restraint stress (RS) exposure and fear conditioning. Floxed GR and LAGRKO mice were exposed to a 20 min RS and fear-conditioned 1 hr later. Contextual and auditory-cued fear memories were tested 24 and 48 hr after training, respectively. (B) Mice exposed to RS 1 hr before conditioning (brown, RS1h-Floxed GR, n = 11; RS1h-LAGRKO, n = 10) exhibited significantly higher freezing levels than did nonstressed mice (black, Floxed GR, n = 10; LAGRKO, n = 16) during the training session in both genotypes. (C) Mice exposed to RS exhibited significantly higher freezing levels than did nonstressed mice during the contextual fear memory test. (D) During the cued test, floxed GR mice exposed to RS 1 hr before training exhibited significantly lower freezing levels than did the nonstressed floxed GR mice. Previous RS exposure had no effect on auditory-cued fear memory in LAGRKO mice. Data are presented as mean ± S. E. M. *p<0.05; **p<0.001.

Figure 5—source data 1. Raw data for generating Figure 5B–D.
elife-34135-fig5-data1.xlsx (19.8KB, xlsx)
DOI: 10.7554/eLife.34135.015

Figure 5.

Figure 5—figure supplement 1. Restraint stress- and auditory fear conditioning-induced release of corticosterone was comparable between floxed GR and LAGRKO mice.

Figure 5—figure supplement 1.

(A) Plasma corticosterone levels 1 hr after RS exposure (n = 5). (B) Plasma corticosterone levels 90 min after RS exposure followed by AFC (n = 5). Data are presented as mean ± S. E. M.
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Optogenetic manipulation of metaplasticity in the LA alters the behavioral effect of prior RS exposure on auditory-cued fear memory

We next investigated whether stress-induced changes in synaptic plasticity were responsible for the effect of prior stress on auditory-cued fear memory in floxed GR and LAGRKO mice. It was recently proposed that metaplasticity may play a role in the regulation of learning and memory under stress (Joëls et al., 2012; Myers et al., 2014). Therefore, we hypothesized that prior RS exposure would suppress AFC-induced LTP in the LA, leading to the attenuation of auditory-cued fear memory in floxed GR mice, and that LAGR disruption might impair stress-induced metaplasticity in the LA. To test this, we used a recently established technique that allows engineering a memory using an optical LTP or LTD protocol (Nabavi et al., 2014). We injected an AAV vector expressing a variant of light-activated channelrhodopsin 2, oChIEF, into bilateral MGN and AC. Four weeks after virus injection, when oChIEF had reached axon terminals in the LA, mice were exposed to a RS and conditioned 1 hr later (Figure 6A,B). Immediately after the first auditory-cued fear memory test (Test 1), which was conducted 24 hr after fear conditioning, mice received an optical LTP or LTD protocol and tested 24 hr later (Test 2). The optical LTP protocol significantly increased freezing levels during the Test 2 compared with Test 1 in floxed GR mice but not in LAGRKO mice (floxed GR, p=0.046; LAGRKO, p=0.811; paired Student’s t test; Figure 6C,D). These results support our hypothesis that prior RS exposure suppresses AFC-induced LTP in a GR-dependent manner, thus resulting in reduced auditory-cued fear memory in floxed GR mice. In LAGRKO mice, the optical LTD protocol significantly reduced freezing levels during Test 2 compared with that during Test 1 (p=0.010; paired Student’s t test; Figure 6E), further supporting the hypothesis that prior stress weakens synaptic strength in the LA leading to reduced cued fear memory.

Figure 6. Optogenetic manipulation of LTP or LTD at auditory inputs to the LA alters the effect of acute stress on auditory-cued fear memory.

(A) Experimental schedule for AAV injection, RS exposure, auditory-cued fear conditioning, and optical LTP or LTD induction. (B) Representative fluorescence image of areas expressing AAV-oChIEF-tdTomato 4 weeks after virus injection in the medial geniculate nucleus (MGN) and auditory cortex (AC). LA, lateral nucleus of the amygdala. (C) Floxed GR mice (n = 8) that received immediate optical LTP after the first auditory-cued fear memory test (Test 1) exhibited significantly increased freezing levels in the second auditory-cued fear memory test (Test 2). (D) LAGRKO mice (n = 8) that received optical LTP stimulation exhibited the same freezing levels in Tests 1 and 2. (E) LAGRKO mice (n = 8) that received LTD stimulation immediately after Test 1 exhibited significantly lower freezing levels in Test 2 than in Test 1. Graphs show the freezing rate during the first 1 min of tone presentation at Tests 1 and 2. (F, G) A plot of the average of field EPSP slopes (normalized to the period before optical stimulation) before and after delivering an optical LTP (Floxed GR, n = 4, before LTP, 100 ± 0.8%, after LTP, 148.9 ± 3.2%; LAGRKO, n = 4, before LTP, 100 ± 0.6%, after LTP, 149.3 ± 2.8%) or LTD (Floxed GR, n = 4, before LTD, 100 ± 0.5%, after LTD, 77.4 ± 0.8%; LAGRKO, n = 4, before LTD, 100 ± 0.6%, after LTD, 76.7 ± 0.8%). Data are presented as mean ± S. E. M. *p<0.05.

Figure 6—source data 1. Raw data for generating Figure 6C–E.
elife-34135-fig6-data1.xlsx (9.8KB, xlsx)
DOI: 10.7554/eLife.34135.018
Figure 6—source data 2. Raw data for generating Figure 6F,G.
elife-34135-fig6-data2.xlsx (45.4KB, xlsx)
DOI: 10.7554/eLife.34135.019

Figure 6.

Figure 6—figure supplement 1. A putative model of LAGR-dependent mechanisms underlying alterations in synaptic plasticity during fear conditioning in basal condition or 1 hr after RS exposures.

Figure 6—figure supplement 1.

In floxed GR mice, RS-induced release of corticosterone activates G protein-coupled postsynaptic membrane glucocorticoid receptors (mGRs), leading to the synthesis and release of endocannabinoid. The released endocannabinoid binds to the presynaptic CB1 endocannabinoid receptor to suppress the glutamate release. In addition, postsynaptic mGRs activation rapidly inhibit Ca2+ influx via the NMDA receptor. Therefore, when fear conditioning is conducted 1 hr after RS exposure, the reduced glutamate release and postsynaptic calcium entry may impair the persistence of LTP in the LA, thereby leading to suppression of auditory-cued fear memory, which can be rescued by delivery of an optical LTP protocol in the LA. In LAGRKO mice, which lack mGRs, RS exposure presumably fails to alter LTP persistence. Therefore, stressed-LAGRKO mice exhibit strong auditory-cued fear memory comparable to non-stressed LAGRKO mice, which can be suppressed by delivery of an optical LTD protocol in the LA.
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To confirm that the optical LTP or LTD protocols produced the expected synaptic effects, we conducted in vivo recordings in the LA of anaesthetized naïve mice expressing oChIEF in auditory regions. Brief light pulses (0.033 Hz) at the recording site produced field responses, which were potentiated by the LTP protocol (Floxed GR, F1,126 = 191.5, p<0.001; LAGRKO, F1,126 = 237.7, p<0.001; two-way repeated measures ANOVA; Figure 6F) and depressed by the LTD protocol (Floxed GR, F1,126 = 511.9, p<0.001; LAGRKO, F1,126 = 497.3, p<0.001; two-way repeated measures ANOVA; Figure 6G) in both floxed GR and LAGRKO mice. These results suggest that the LTP and LTD protocols used in the behavioral experiments modify synaptic strength in the expected manner.

Discussion

In the present study, we demonstrate that LAGR exclusively mediates auditory-cued fear responses to strengthened conditioning, suggesting a critical role for LAGR in signaling mediated by stress-induced high levels of glucocorticoids. We further demonstrate that LAGR is indispensable for the suppressive effect of prior RS exposure on AFC. The optogenetic potentiation of synaptic strength at auditory inputs to the LA by an LTP protocol significantly increased auditory-cued fear memory in RS-exposed floxed GR but not in RS-exposed LAGRKO mice. Accordingly, weakening the synaptic strength of auditory inputs to the LA by an LTD protocol significantly reduced auditory-cued fear memory in RS-exposed LAGRKO mice. These findings suggest that stress-induced metaplasticity occurs in the LA in a GR-dependent manner, and is responsible for the suppressive effect of prior RS on AFC.

The degree of stress induced by learning itself has been shown to be related to strength of the memory (Cordero et al., 1998; Cordero and Sandi, 1998). In our study, there was no difference in freezing levels between floxed GR and LAGRKO mice conditioned with three CS × US pairings. When the number of CS × US pairings of the conditioning procedure was increased to six, LAGRKO exhibited an impaired auditory-cued fear memory. Concomitantly, in both genotypes, plasma corticosterone levels 90 min after fear conditioning were significantly higher in the group with six CS × US pairings than in the group with three CS × US pairings. It is likely that the increased number of CS × US pairings strengthened the connection between auditory CS and US in the LA, and LAGR, which is activated by high levels of circulating corticosterone, contributes exclusively to this neural process. These findings are in agreement with the lower binding affinity of GR for glucocorticoids, leading to the critical role of GR in signaling mediated by stress-induced high levels of glucocorticoids (Reul and de Kloet, 1985).

Emerging evidence indicates that stress exposure modulates subsequent learning and memory bidirectionally, either through facilitation or impairment (Raio and Phelps, 2015). Glucocorticoid signaling has been thought as a common mechanism for mediating the effects of stress on fear memory (Cordero et al., 2003; Rodríguez Manzanares et al., 2005). In our behavioral tests, a single RS exposure 1 hr before conditioning significantly reduced auditory-cued fear memory in floxed GR mice but not in LAGRKO mice, suggesting that the suppressive effect of prior RS is LAGR-dependent. To date, there are no reports demonstrating the effects of stress 1 hr before conditioning on fear memory. One previous report demonstrated that a single acute stress exposure 48 hr before fear conditioning had no effect on AFC (Cordero et al., 2003). GRs control the magnitude and duration of stress responses, and they are critical in the negative feedback regulation of the HPA axis in response to acute stress (Laryea et al., 2015). In our study, plasma corticosterone levels were significantly higher 1 hr after RS than 24 hr after RS (data not shown), and it is possible that the timing of previous stress exposure is a key determinant of the effects of stress on auditory-cued fear memory. Consistent with our in vivo evidence showing the LAGR-dependent suppressive effect of prior RS, Karst et al. demonstrated that a long-lasting glutamatergic transmission in BLA neurons triggered by the application of corticosterone was suppressed by RS 1 hr before slice preparation and the suppressive effect of RS was attenuated by treatment with a GR antagonist (Karst et al., 2010).

Synaptic changes at auditory inputs to the LA play an essential role in the acquisition and expression of auditory-cued fear memory (Blair et al., 2001; Rogan et al., 1997; Tsvetkov et al., 2002). Exposure to a single stress induces LTP in the BLA (Sarabdjitsingh et al., 2012; Vouimba et al., 2004). Therefore, it is possible that prior RS exposure occludes or suppresses subsequent AFC-induced LTP in floxed GR mice, thereby preventing the formation of excessive cued fear memory. To test this hypothesis, we induced LTP at auditory inputs to the LA by optogenetic stimulation, and found a significant increase in auditory-cued fear responses in RS-exposed floxed GR mice. This is the first evidence supporting a causal link between stress-induced metaplasticity in the LA and adaptive fear response to a salient cue in a stressful condition. Several in vitro and in vivo electrophysiological studies have demonstrated that the activation of GRs is involved in stress-induced amygdalar metaplasticity (Karst et al., 2010; Kavushansky and Richter-Levin, 2006). In our study, optogenetic delivery of an LTP protocol failed to alter fear responses to auditory cues in RS-exposed LAGRKO mice, supporting that the activation of LAGR is essential for stress-induced suppression of synaptic plasticity in the LA. The link between synaptic strength and fear response was further verified by results demonstrating that the weakening of the synaptic strength by delivering an optical LTD protocol attenuated auditory-cued fear memory in RS-exposed LAGRKO mice. In agreement with this finding, a previous electrophysiological study using brain slices containing the BLA region demonstrated that the persistence of LTP induced in the presence of corticosterone is sensitive to previous RS exposure (Sarabdjitsingh and Joëls, 2014). Herein, we did not directly examine the effects of a prior RS exposure on the subsequent induction or expression of LTP/LTD in fear-conditioned mice using an in vitro or in vivo electrophysiological method. However, the results of our optogenetic experiment, together with existing evidence (Karst et al., 2010; Sarabdjitsingh and Joëls, 2014), led us to postulate that the persistence of AFC-induced LTP is suppressed by a previous RS exposure, thereby protecting animals from encoding excessive cued fear memory.

Two previous studies have contributed to our understanding the GR-dependent mechanisms involved in prior stress-modulated synaptic plasticity. Di et al. demonstrated that a short application of corticosterone activates G protein-coupled postsynaptic membrane glucocorticoid receptors (mGRs), leading to the synthesis and release of an endocannabinoid, which binds to the presynaptic CB1 endocannabinoid receptor to suppress glutamate release (Di et al., 2003). Thus, postsynaptic mGRs activation induced by a recent RS exposure may result in reduction of glutamate release during subsequent fear conditioning. In another study, Sato et al. demonstrated that membrane-impermeable corticosterone treatment decreases N-methyl-D-aspartate (NMDA)-induced Ca2+ elevation, suggesting that activation of mGRs may inhibit Ca2+ influx via the NMDA receptor (Sato et al., 2004). Therefore, the reduced presynaptic glutamate release and inhibition of postsynaptic Ca2+ influx 1 hr after RS exposure may influence the required level of depolarization for long-term maintenance of LTP (Figure 6—figure supplement 1).

This study demonstrated that LAGR is indispensible for stress-induced metaplasticity in the LA and for controlling fear responses to salient cues depending on the recent stress history of an animal. Individuals with lower levels of cortisol are more susceptible to developing post-traumatic stress disorder (PTSD) (Yehuda, 2006, 1998), suggesting that glucocorticoid signaling dysfunction is involved in the development of PTSD. Our findings contribute to understanding how emotional memory is formed under stress conditions and provide clues for elucidating the pathophysiology and etiology of stress-related disorders, such as PTSD.

Materials and methods

Key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers
Gene (Mus musculus) Nr3c1 Mouse Genome Informatics
http://www.informatics.jax.org/marker/MGI:95824		 MGI:95824; NCBI Gene: 14815
Gene (Mus musculus) Grp Mouse Genome Informatics
http://www.informatics.jax.org/marker/MGI:95833		 MGI:95833; NCBI Gene: 225642
Strain (C57BL/6-Tg(CAG-flpe)
36Ito/ItoRbrc)		 CAG-FLPe mouse RIKEN BioResource Center RRID:IMSR_RBRC01834
Strain (C57BL/6) CAG-CAT-Z mouse Proc Natl Acad Sci U S A 92: 160–164,1995
ES cell line RENKA Eur. J. Neurosci. 24: 2177–2190, 2006
Antibody Rabbit anti-GR antibody Santa Cruz Biotechnology Cat# sc-8992 RRID:AB_2155784
Antibody Anti-NeuN antibody Millipore Cat# MAB377 RRID:AB_2298772
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Construction of Grp-iCre targeting vector

To construct a codon-improved Cre-recombinase (iCre)-splice gene, the intron sequence from the SV40 t-antigen gene was amplified by PCR and inserted between codons 283 and 284 of iCre. We obtained the bacterial artificial chromosome (BAC) clone containing the gastrin-releasing peptide gene (Grp) from the BACPAC Resources Center CHORI (Oakland, CA). Using a counter-selection BAC modification kit (Gene Bridges, Dresden, Germany), we inserted the iCre-splice gene linked to the pgk-neo cassette flanked by two FRT sites into Grp gene at the +1 position (+1 corresponding to A of ATG, the initiation site of translation in the Grp gene). The modified BAC DNA fragment inserted with the iCre-splice-pgk-neo cassette and containing the ~5.1 kbp upstream (−5079 to −1) and ~4.9 kbp downstream (+2 to +4933) sequences of Grp gene were cloned into pMC1DTApMA (Kitayama et al., 2001a) to generate the targeting vector pTVGRP-iCre.

Construction of Nr3c1loxP targeting vector

A BAC clone containing the Nr3c1 gene was obtained from BACPAC Resources Center CHORI. The 5’ arm of ~5.2 kbp (−5344 to −104, +1 corresponding to the first nucleotide of the exon 3 of the Nr3c1 gene) and the 3’ arm of ~5 kbp (+104 to +5092) were subcloned into the pDONR P4-P1R and pDONER P2R-P3 vectors (Invitrogen, Carlsbad, CA), respectively, using the counter-selection BAC modification kit. A 370 bp Nr3c1 gene fragment containing exon 3, part of intron 2, and part of intron 3 was amplified by PCR and was subcloned between two loxP sequences of a modified pDONR 221 vector containing a pgk-Neo cassette flanked by two FRT sites. To construct the targeting vector, these three plasmids were directionally subcloned into pDEST R4-R3 vector containing the diphtheria toxin gene (MC1-DTA) by MultiSite Gateway LR recombination reaction.

ES cell culture and generation of Grp-iCre and GRloxP mice

The targeting vectors linearized with NotI were electroporated into the C57BL/6-derived ES cell line RENKA (Fukaya et al., 2006) as previously described. After the selection with G418 (150 μg/mL), the recombinant ES cell clone was identified by Southern blot analysis. The obtained recombinant ES cells were injected into 8-cell-stage embryos of ICR mice. The embryos were cultured to blastocysts and transferred to the uterus of pseudopregnant ICR mice. The resulting chimeric mice were mated with CAG-FLPe mice (provided by RIKEN BRC through the National Bio-Resource Project of the MEXT, Japan) to delete the pgk-neo gene and establish the mutant mouse line. Grp-iCre and GRloxP mice were genotyped using polymerase chain reaction (PCR) amplification of genomic DNA prepared from the mouse tail. The Grp-iCre mice were genotyped using the following primer sequences: Gic1, 5’-GTCGAGAGCTCTGAGGGTTT-3'; Gic2, 5’-GATTTCATGATCGGGACACTTACCCA-3’; Gic3, 5’-GGTACAGGAGGTAGTCCCTCACATC-3’; NeoP1, 5’-GGGGATCCACTAGCGAATTCGAAG-3’; and NeoP2, 5’-GGATCCCCTCAGAAGAACTCGTCAA-3’. The GRloxP mice were genotyped using the following primer sequences: GR3’LU, 5’-AAAAGAGCAGTGGAAGGTAGTGTG-3’ and GR3’LL, 5’-TACTTCTGTCCCTTCCCAATGGAG-3’.

Animal care and experimental protocols were approved by the Animal Experiment Committee of the University of Toyama (Authorization No. 2013 MED-18 and MED-68) and carried out in accordance with the Guidelines for the Care and Use of Laboratory Animal of the University of Toyama. Three month-old male mice were used for analyses in a genotype blind manner. The mice were kept in a temperature- and humidity-controlled room under 12 hr light/dark cycle (lights on at 7:00 AM) and had ad libitum access to food and water.

Analysis of Cre-mediated recombination efficacy

We used the mutant mice carrying both Grp-iCre and CAG-CAT-Z transgene heterozygously as the reporter mice. The mice were deeply anesthetized with pentobarbital sodium (100 mg/kg body weight, intraperitoneal injection), and then transcardially perfused with phosphate buffered saline (PBS, pH 7.4) followed by 4% paraformaldehyde (PFA) in 0.1 M phosphate buffer (PB). Brains were removed, post-fixed with the 4% PFA overnight, and dipped in 0.1 M PB containing 30% sucrose for 36 hr at 4°C. The brains were cut into 1-mm-thick coronal sections and stained for β-galactosidase (β-gal) activity for 18 hr in PBS containing 5 mM potassium hexacyanoferrate (III), 5 mM potassium hexacyanoferrate (II), 2 mM MgCl2, and 1 mg/ml 5-bromo-4-chloro-3-indolyl-β-d-galactoside (Tsujita et al., 1999). After the staining reaction, 20-μm-thick sections were prepared from 1-mm-thick sections and mounted on glass slides. Images were obtained using a Keyence BZ-8000 microscope (Keyence, Osaka, Japan).

Immunofluorescence staining

The brains were removed, fixed, and cryoprotected as described above and then cut into 25-μm-thick serial coronal sections using a freezing microtome. For each animal, every fourth section (bregma from −1.4 to −1.8 mm, five sections per animal) was selected on the basis of the Mouse Brain in Stereotaxic Coordinates (Paxinos and Franklin, 2001) and was prepared for immunofluorescence staining.

Free floating brain sections were rinsed with PBS and blocked with Protein Block Serum Free (DAKO Cytomation, Carpinteria, CA) for 10 min at room temperature. The sections were then incubated with primary antibodies (rabbit anti-GR, 1:100, Santa Cruz #H-300; mouse anti-NeuN, 1:100, Millipore #MAB377) diluted in PBS containing 1% bovine serum albumin (BSA) overnight at 4°C. After washing with PBS, the sections were incubated with Alexa-Fluor-488- and Alexa-Fluor-594-conjugated species-specific secondary antibodies (Invitrogen) for 1 hr at room temperature. Then, the sections were washed with PBS, adhered to glass slides and coverslipped. Images were taken using a confocal laser scanning microscope (Leica TCS-SP5, Leica Microsystems, Germany). Three sections per animal were used for quantification of GR-positive and NeuN-positive cells in the LA. All sections were counted by us who were blind to the genotype of the mice.

Auditory-cued fear conditioning

Except for the optogenetic experiment, auditory-cued fear conditioning (AFC) was conducted in a small conditioning chamber (10 × 10 × 10 cm; with transparent walls and a floor made of 14 stainless steel rods) surrounded by a sound-attenuating chest (CL-M3, O'Hara and Co., Ltd, Tokyo, Japan). Mice were placed in the conditioning chamber for 60 s and then presented with a 30 s tone (65 dB, white noise) through a speaker on the ceiling of the sound-attenuating chamber. At the end of the tone presentation, mice were given a foot shock (0.5 mA, 2 s for three CS × US pairings at 1 min intervals and 0.5 mA, 1 s for six CS × US pairings at 30 s intervals). Mice were returned to their home cages 30 s after the last foot shock. The contextual and auditory-cued fear memory retention tests were conducted 24 and 48 hr after training, respectively. During the contextual memory test, mice were re-exposed to the conditioning chamber for 5 min without the tone and shock presentation. The conditioning chamber was cleaned with 70% ethanol before each trial. For the auditory-cued memory test, mice were placed in a novel chamber (10 × 10 × 10 cm, with white walls and a flat floor). Freezing was scored for 3 min before delivery of the tone and then scored for 3 min in the presence of the tone. Before each trial, the chamber was cleaned with 4% acetic acid. Freezing responses were analyzed on a Macintosh computer with Image FZC 2.22sr2 (O'Hara and Co., Japan), which is software based on the NIH Image program.

For the optogenetic experiment, AFC was conducted in a soundproof experimental room (Yamada Co., Japan). Mice were placed in the square conditioning chamber (17.5 × 30 cm, with a transparent front wall, white side and back walls, and a floor of 26 stainless steel rods) for 60 s and then received three pairings of CS (65 dB, 7 kHz, 30 s tone) and US (0.5 mA, 2 s foot shock) with 1 min inter-pairing interval. Mice were returned to their home cages 90 s after the last foot shock. Before the first auditory-cued fear memory test (Test 1), mice were anaesthetized with isoflurane and optic fibers were inserted into guide cannulas. Mice were returned to their home cages and left for at least 1 hr. Test 1 was conducted in a circular chamber (opaque black walls, diameter 21.5 cm × height 34 cm, with a flat floor) 24 hr after conditioning. Immediately after Test 1, mice received the optical LTP or LTD protocol and 24 hr later, the second auditory-cued fear memory test (Test 2) was conducted in a novel circular chamber (opaque reddish walls, diameter 23.5 cm × height 22.5 cm, with a flat floor). Freezing was scored for 3 min before delivery of the tone and then scored for 3 min in the presence of the tone.

Open field test

The open field test was performed to measure locomotion and anxiety in a novel open field using SCANET MV-40 (MELQUEST Co., Toyama Japan). The open field consisted of a square box of 48 cm per side with infrared sensors arranged at 6 mm intervals for the automatic detection of activity. Individual mice were placed at the center of the open field at the initiation of the test session and allowed to freely explore the field for 15 min.

Restraint stress

Mice were placed in an adequately ventilated 50 mL plastic tube (FALCON) for 20 min. They could rotate from a prone to supine position and back again but not turn head to tail.

Corticosterone measurements

Plasma was extracted from blood samples collected from the heart. All blood samples were collected between 2 and 4 p.m. Blood samples were centrifuged at 3,000 rpm for 5 min at 4°C and extracted plasma was stored at −30°C until assayed for corticosterone using a corticosterone enzyme immunoassay kit (Arbor Assays, Ann Arbor, MI) in accordance with the manufacturer’s instructions.

Viral vector

The GR-expressing adeno-associated virus (AAV-GR) and green fluorescent protein-expressing AAV (AAV-GFP) plasmids consisted of the mouse synapsin I promoter followed by cDNA encoding GR or the GFP and a woodchuck hepatitis virus post-transcriptional regulatory element between the inverted terminal repeats of the AAV3 genome. Plasmid AAV-hsyn-oChIEF-tdTomato was purchased from Addgene (Cambridge, MA). Recombinant AAV vectors were produced by transient transfection of HEK293 cells with the vector plasmid, an AAV3 rep and AAV9 vp expression plasmid, and an adenoviral helper plasmid, pHelper (Agilent Technologies, Santa Clara, CA), as previously described (Iida et al., 2013; Li et al., 2006). Recombinant viruses were purified by isolation from two sequential continuous CsCl gradients, and the viral titers were determined by qRT-PCR. Before administration, AAV-GR and AAV-GFP vectors were diluted in phosphate-buffered saline to 5 × 1011 genome copies/100 µL and 1 × 1011 genome copies/100 µL, respectively.

Surgery

Mice were deeply anesthetized with pentobarbital sodium (100 mg/kg body weight, intraperitoneal injection) and placed in a stereotactic frame (Narishige, Tokyo, Japan). AAV-GR or AAV-GFP (0.3 µL per hemisphere) was bilaterally injected into the LA (AP: −1.7 mm; ML: 3.3 mm; DV: −4.1 to −4.2 mm) using glass pipettes (tip diameter 50 μm) connected to a compatible syringe and motorized microinjector (Narishige IMS-10). Mice were allowed to recover in their home cages for 4 weeks before behavioral experiments.

For optogenetic experiments, AAV-hsyn-oChIEF-tdTomato was bilaterally injected into the medial geniculate nucleus (AP: −3.1 mm; ML: 1.9 mm; DV: −3.5 mm) and the auditory cortex (AP: −2.7 mm; ML: 4.4 mm; DV: −3.3 mm). A total of 0.5 µL virus per hemisphere was injected. An optic fiber cannula was implanted just above the dorsal tip of the LA (AP: −1.7 mm; ML: 3.4 mm; DV: −4.1 mm) and secured to the skull with screws and dental cement.

In vivo LTP or LTD induction

Optical LTP was induced with 10 trains of light (each train consisted of 100 pulses of light, 5 ms each, at 100 Hz) at 90 s inter-train intervals. Optical LTD was induced with 900 pulses of light, 2 ms each, at 1 Hz. After induction, mice were immediately returned to their home cages.

In vivo recording

Eight weeks after the injection of AAV-hsyn-oChIEF-tdTomato into the MGN and AC, mice were anesthetized with pentobarbital sodium and then mounted on a stereotaxic frame. The optic fiber was glued to the recording electrode so that the tip of the fiber was 500 μm above the tip of the electrode. The optrode was inserted into the LA and the optic fiber was connected to a 473 nm laser unit. The LTP or LTD induction protocol was identical to those used in the behavioral test. After establishing a stable baseline at the recording site for 21 min (stimulation frequency at 0.033 Hz), in vivo LTP or LTD was induced, which was followed by at least 21 min of 0.033 Hz stimulation. Data were analyzed using Clampex 10.7 software. All animals were perfused after the recordings and the position of the recording sites were verified.

Statistical analysis

Statistical analysis was performed using student’s t-test for the comparison of two groups and one-way ANOVA was used for analyzing experiments consisting of multiple groups. Two-way repeated measures ANOVA was used for analyzing the freezing level during training sessions. Significant ANOVA results were followed by a post hoc Tukey–Kramer test for multiple comparisons. All values are presented as mean ± S. E. M. Values of p<0.05 were considered statistically significant.

Statistical analysis was performed using Statcel2. Mice were randomly assigned to experimental groups prior to experimentation. No statistical methods were used to pre-determine sample sizes but our sample sizes are similar to those generally employed in the field. Animals with viral injections off target or damage during the experiment were excluded from the statistical analysis.

Acknowledgements

We thank Dr. R Sprengel for providing the plasmid containing iCre and Dr. J Miyazaki for providing the CAG-CAT-Z mice. CAG-FLPe mice were provided by the RIKEN BRC through the National Bio-Resource Project of the MEXT, Japan. We thank M Ito and N Takiko (Jichi Medical University) for their help with production of the AAV vectors. This work was supported by Grant-in-Aid for Scientific Research on Innovative Areas Nos. 221S0003, 15H01279, 25116508, and JP25115002, Grant-in-Aid for Young Scientists (B) Nos.25830005 and 26293213, a Grant-in-Aid for Scientific Research (C) No. 15K06705 from the Ministry of Education, Culture, Sports, Science and Technology of Japan, a grant from the Japan Agency for Medical Research and Development (AMED), and a grant from the Core Research for Evolutional Science and Technology (CREST) program (JPMJCR13W1) of the Japan Science and Technology Agency (JST).

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Ran Inoue, Email: eiran@med.u-toyama.ac.jp.

Julie A Kauer, Brown University, United States.

Funding Information

This paper was supported by the following grants:

  • Ministry of Education, Culture, Sports, Science, and Technology 26293213 to Ran Inoue.

  • Ministry of Education, Culture, Sports, Science and Technology 15K06705 to Ran Inoue.

  • Ministry of Education, Culture, Sports, Science, and Technology JP25115002 to Kaoru Inokuchi.

  • Core Research for Evolutional Science and Technology JPMJCR13W1 to Kaoru Inokuchi.

  • Ministry of Education, Culture, Sports, Science, and Technology 221S0003 to Hisashi Mori.

  • Ministry of Education, Culture, Sports, Science and Technology 15H01279 to Hisashi Mori.

  • Ministry of Education, Culture, Sports, Science and Technology 25116508 to Hisashi Mori.

Additional information

Competing interests

No competing interests declared.

SM owns equity in a gene therapy company (Gene Therapy Research Institution) that commercializes the use of AAV vectors for gene therapy applications. To the extent that the work in this manuscript increases the value of these commercial holdings, SM has a conflict of interest.

Author contributions

Conceptualization, Resources, Data curation, Software, Formal analysis, Supervision, Funding acquisition, Investigation, Methodology, Writing—original draft, Project administration, Writing—review and editing.

Data curation, Investigation.

Investigation.

Investigation.

Investigation.

Funding acquisition, Methodology.

Conceptualization, Supervision, Funding acquisition, Investigation, Project administration, Writing—review and editing.

Ethics

Animal experimentation: Animal care and experimental protocols were approved by the Animal Experiment Committee of the University of Toyama (Authorization No. 2013 MED-18 and MED-68) and carried out in accordance with the Guidelines for the Care and Use of Laboratory Animal of the University of Toyama.

Additional files

Transparent reporting form
elife-34135-transrepform.docx (245.3KB, docx)
DOI: 10.7554/eLife.34135.020

Data availability

All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for Figures 2 -6.

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Decision letter

Editor: Julie A Kauer1

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your article "Glucocorticoid receptor-mediated amygdalar metaplasticity underlies adaptive modulation of fear memory by stress" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, including a Reviewing Editor, and the evaluation has been overseen by a Senior Editor. The following individual involved in review of your submission has agreed to reveal his identity: Sumantra Chattarji (Reviewer #2).

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

Summary:

The reviewers agreed that the work is very interesting, and that the investigation into the interactions between the glucocorticoid receptor in the lateral amygdala and fear conditioning are novel and timely. The reviewers raise a number of concerns that must be adequately addressed before the paper can be accepted, and some of the required revisions will likely require further experimentation within the framework of the presented studies and techniques.

Essential revisions:

1) Figure 6: The figure legend states that "Data are obtained from four mice (two floxed GR and two LAGRKO mice)." In the LTP/LTD graphs (Figure 6F, G) why are floxed GR and LAGRKO mice data combined? It is critical to show that LTP and LTD can be elicited in both types of mice. Importantly, representative sample traces of fEPSPs (Figure 6F-G) should be shown.

2) The authors are not specific about what they mean by suppression of LTP. Is the suppression at the level of the induction or expression? The LTP experiment that they did does not differentiate between these two cases. How does the stress cause a deficit? Is this, as proposed by Karst et al., the result of GR-dependent reduction in the excitability of the LA neurons, hence the threshold for potentiation? If so, is this represented in the electrophysiological data? That is, do they see a difference in LTP-induced synaptic potentiation between stressed control vs. stressed LAGRKO? Please discuss.

3) Add discussion about what the model is; answer the following questions even if it's speculation:

- In the fourth paragraph of the Discussion, the authors state that activation of LAGR by stress suppresses fear conditioning-induced LTP at auditory inputs to the LA and that this is indicated by the reduction of freezing in restraint stress exposed LAGRKO mice after delivery of an LTD protocol. Does this imply that the "stress exposure suppression of fear-conditioned LTP" is through a synaptic mechanism similar to that elicited by optical LTD?

I don't think they can conclude that the "stress exposure suppression of fear-conditioned LTP" is through a synaptic mechanism similar to that elicited by optical LTD?

4) The absence of any data on corticosterone levels elicited by restraint stress is surprising in light of the central role this form of stress plays in the experimental findings reported in the manuscript. Further, what are the levels of corticosterone in animals that are first subjected to restrain stress followed by fear conditioning?

5) A missing piece of the puzzle is that the authors have not monitored online how in vivo correlates of synaptic strength (e.g. slope of fEPSPs evoked by, say, electrical activation of thalamic inputs from the MGN) change as a result of fear conditioning and its modulation by restraint stress and other genetic manipulations used here. Do the authors have any data to address this point? While not required for revision, this would be of interest if the data exist.

6) More explanation of the overall model is required, in particular explaining the interactions between synaptic plasticity (optogenetic or natural), fear conditioning, and GR, in the context of restraint stress as well as control conditions. Why does the optical LTP protocol not elicit an increase in freezing in the LAGRKO mice (Figure 6D) as seen with the Floxed-GR mice (Figure 6C)? Since these animals are capable of forming fear memories, the LA neurons should have the capacity to undergo synaptic plasticity. On the other hand, the authors have shown that these same LAGRKO mice have attenuated fear responses after an optical LTD protocol. The prior restraint stress suppresses the induction of synaptic potentiation during fear conditioning. The authors are not specific about what they mean by suppression of LTP. Is the suppression at the level of the induction or expression? The LTP experiment that they did, does not differentiate between these two cases. Does this imply that optical LTP itself is dependent on GRs in the LA? Is GR activation not required for LTP or LTD induction in LA?; the authors should at the least discuss where they believe GR activation occurs in the chain of learning events in the context of restraint stress. A conclusion diagram could be very helpful.

[Editors' note: further revisions were requested prior to acceptance, as described below.]

Thank you for resubmitting your work entitled "Glucocorticoid receptor-mediated amygdalar metaplasticity underlies adaptive modulation of fear memory by stress" for further consideration at eLife. Your revised article has been favorably evaluated by a Senior Editor and a Reviewing Editor.

The manuscript has been improved but there are some remaining issues that need to be addressed before acceptance, as outlined below:

The authors have responded to nearly all of the reviewers' points adequately. However, their response to the first critique is not acceptable. Here is the critique again:

1) Figure 6: The figure legend states that "Data are obtained from four mice (two floxed GR and two LAGRKO mice)." In the LTP/LTD graphs (Figure 6F, G) why are floxed GR and LAGRKO mice data combined? It is critical to show that LTP and LTD can be elicited in both types of mice.

The authors responded that they convinced themselves that the relevant manipulations trigger LTP or LTD in each genotype is not sufficient. The experiments in each genotype must be done separately and statistically validated (showing that statistically signifcant LTP is elicited, e.g.) – not included together. The experimental quality of the LTP experiments in particular is poor. Baselines must be stable for at minimum 10 minutes, not slanting up or jumping upward just prior to LTP induction as is apparent in 2 of the 4 experiments. Please repeat these experiments and demonstrate that the optical protocols in slices are sufficient to induce LTP and LTD in both floxed GR and LAGRKO mice. Without these data, the manuscript is lacking an important piece of information necessary to interpret the results.

eLife. 2018 Jun 26;7:e34135. doi: 10.7554/eLife.34135.023

Author response

1) Figure 6: The figure legend states that "Data are obtained from four mice (two floxed GR and two LAGRKO mice)." In the LTP/LTD graphs (Figure 6F, G) why are floxed GR and LAGRKO mice data combined? It is critical to show that LTP and LTD can be elicited in both types of mice. Importantly, representative sample traces of fEPSPs (Figure 6F-G) should be shown.

The purpose of this experiment is to confirm whether our optical LTP and LTD protocols produce expected synaptic changes in vivo. Our optical LTP and LTD protocols successfully induced LTP and LTD in all four naïve mice examined (two floxed GR and two LAGRKO mice), respectively. The data for each individual mouse are shown in Figure 6—figure supplement 1. Because there was no evident difference in LTP and LTD induction between floxed GR and LAGRKO mice, we pooled the data from both floxed GR and LAGRKO mice.

According to your suggestion, we added representative sample traces of fEPSPs in Figures 6F and G.

2) The authors are not specific about what they mean by suppression of LTP. Is the suppression at the level of the induction or expression? The LTP experiment that they did does not differentiate between these two cases. How does the stress cause a deficit? Is this, as proposed by Karst et al., the result of GR-dependent reduction in the excitability of the LA neurons, hence the threshold for potentiation? If so, is this represented in the electrophysiological data? That is, do they see a difference in LTP-induced synaptic potentiation between stressed control vs. stressed LAGRKO? Please discuss.

In this study, we did not conduct in vivo electrophysiological analysis using stressed mice. However, in a previous electrophysiological study, brain slices containing the BLA region were analyzed to understand how restraint stress (RS) affects synaptic plasticity (Sarabdjitsinh and Joels, 2014). This report demonstrated that the persistence of LTP induced in the presence of corticosterone is sensitive to a previous RS exposure (Sarabdjitsinh and Joels, 2014). Therefore, in our study, we postulated that the persistence of LTP in fear-conditioned floxed GR mice is suppressed by a previous RS exposure, thereby leading to suppression of auditory-cued fear memory. This was indirectly verified by the fact that suppressed auditory-cued fear memory in RS-exposed floxed GR mice was rescued by optogenetic LTP induction in the LA. Accordingly, such suppression of auditory-cued fear memory was not observed in RS-exposed LAGRKO mice, suggesting that the persistence of LTP was not altered in RS-exposed LAGRKO mice. Thus, optogenetic delivery of LTP to the LA of RS-exposed LAGRKO mice exerted no influence on auditory-cued fear memory.

Two studies have contributed to our understanding of the GR-dependent mechanisms involved in stress-related modulation of synaptic plasticity in the LA. Di et al. demonstrated that a short application of corticosterone activates G protein-coupled postsynaptic membrane glucocorticoid receptors (mGRs), leading to synthesis and release of an endocannabinoid that binds to presynaptic CB1 endocannabinoid receptor to suppress glutamate release (Di et al., 2003). Thus, postsynaptic mGRs activation induced by a recent RS exposure may result in reduction of glutamate release during subsequent fear conditioning. In another study, Sato et al. demonstrated that membrane-impermeable corticosterone treatment decreases N-methyl-D-aspartate (NMDA)-induced Ca2+ elevation, suggesting that activation of mGRs may inhibit Ca2+ influx via the NMDA receptor (Sato et al., 2004). Therefore, the reduced presynaptic glutamate release and inhibition of postsynaptic Ca2+ influx 1 h after RS exposure may influence the required level of depolarization for long-term maintenance of LTP. See Discussion, third paragraph. A diagram of a summary of these events was added in Figure 6—figure supplement 2.

3) Add discussion about what the model is; answer the following questions even if it's speculation:

- In the fourth paragraph of the Discussion, the authors state that activation of LAGR by stress suppresses fear conditioning-induced LTP at auditory inputs to the LA and that this is indicated by the reduction of freezing in restraint stress exposed LAGRKO mice after delivery of an LTD protocol. Does this imply that the "stress exposure suppression of fear-conditioned LTP" is through a synaptic mechanism similar to that elicited by optical LTD?

I don't think they can conclude that the "stress exposure suppression of fear-conditioned LTP" is through a synaptic mechanism similar to that elicited by optical LTD?

As we have addressed in our response to comment 2, activation of LAGR by RS may suppress the persistence of LTP in fear-conditioned mice, and this speculation is indirectly confirmed by our experimental data showing that optogenetic delivery of an LTP protocol increased fear responses in RS-exposed floxed GR mice. In contrast, optogenetic delivery of an LTP protocol did not alter the freezing level in RS-exposed LAGRKO mice, further suggesting that LAGR is required for the mechanisms responsible for stress-induced suppression of LTP. The purpose of using the LTD protocol is to verify whether the conditioned fear responses in RS-exposed LAGRKO mice is altered by reducing the synaptic strength. In the present study, we did not conclude that a synaptic mechanism similar to that elicited by an optical LTD is responsible for stress-induced suppression of fear-conditioned LTP.

4) The absence of any data on corticosterone levels elicited by restraint stress is surprising in light of the central role this form of stress plays in the experimental findings reported in the manuscript. Further, what are the levels of corticosterone in animals that are first subjected to restrain stress followed by fear conditioning?

We measured plasma corticosterone levels 1 h after RS exposure alone and 90 min after RS exposure followed by fear conditioning. There was no significant difference in plasma corticosterone levels between floxed GR and LAGRKO mice at the two time points. See Results, subsection “Disruption of LAGR impairs adaptive modulation of conditioned fear in response to prior restraint stress exposure” and Figure 5—figure supplement 1.

5) A missing piece of the puzzle is that the authors have not monitored online how in vivo correlates of synaptic strength (e.g. slope of fEPSPs evoked by, say, electrical activation of thalamic inputs from the MGN) change as a result of fear conditioning and its modulation by restraint stress and other genetic manipulations used here. Do the authors have any data to address this point? While not required for revision, this would be of interest if the data exist.

Owing to technical limitations, we did not monitor changes in synaptic strength online as a result of fear conditioning and its modulation by restraint stress in floxed GR and LAGRKO mice. We hope to perform such an experiment in the near future.

6) More explanation of the overall model is required, in particular explaining the interactions between synaptic plasticity (optogenetic or natural), fear conditioning, and GR, in the context of restraint stress as well as control conditions. Why does the optical LTP protocol not elicit an increase in freezing in the LAGRKO mice (Figure 6D) as seen with the Floxed-GR mice (Figure 6C)? Since these animals are capable of forming fear memories, the LA neurons should have the capacity to undergo synaptic plasticity. On the other hand, the authors have shown that these same LAGRKO mice have attenuated fear responses after an optical LTD protocol. The prior restraint stress suppresses the induction of synaptic potentiation during fear conditioning. The authors are not specific about what they mean by suppression of LTP. Is the suppression at the level of the induction or expression? The LTP experiment that they did, does not differentiate between these two cases. Does this imply that optical LTP itself is dependent on GRs in the LA? Is GR activation not required for LTP or LTD induction in LA?; the authors should at the least discuss where they believe GR activation occurs in the chain of learning events in the context of restraint stress. A conclusion diagram could be very helpful.

Please refer to our response to comment 2. A conclusion diagram is shown in Figure 6—figure supplement 2.

[Editors' note: further revisions were requested prior to acceptance, as described below.]

The manuscript has been improved but there are some remaining issues that need to be addressed before acceptance, as outlined below:

The authors have responded to nearly all of the reviewers' points adequately. However, their response to the first critique is not acceptable. Here is the critique again:

1) Figure 6: The figure legend states that "Data are obtained from four mice (two floxed GR and two LAGRKO mice)." In the LTP/LTD graphs (Figure 6F, G) why are floxed GR and LAGRKO mice data combined? It is critical to show that LTP and LTD can be elicited in both types of mice.

The authors responded that they convinced themselves that the relevant manipulations trigger LTP or LTD in each genotype is not sufficient. The experiments in each genotype must be done separately and statistically validated (showing that statistically signifcant LTP is elicited, e.g.) – not included together. The experimental quality of the LTP experiments in particular is poor. Baselines must be stable for at minimum 10 minutes, not slanting up or jumping upward just prior to LTP induction as is apparent in 2 of the 4 experiments. Please repeat these experiments and demonstrate that the optical protocols in slices are sufficient to induce LTP and LTD in both floxed GR and LAGRKO mice. Without these data, the manuscript is lacking an important piece of information necessary to interpret the results.

We performed additional electrophysiological experiments to show that the optical protocols are sufficient to induce LTP and LTD in both floxed GR (n = 4) and LAGRKO GR (n = 4) mice, respectively. See Results, subsection “Optogenetic manipulation of metaplasticity in the LA alters the behavioral effect of 186 prior RS exposure on auditory-cued fear memory”, last paragraph; Figure 6 and figure legend. The original data for Figure 6F, G are provided in Figure 6—source data 2.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 2—source data 1. Raw data for generating Figure 2B.
    elife-34135-fig2-data1.xlsx (10KB, xlsx)
    DOI: 10.7554/eLife.34135.006
    Figure 3—source data 1. Raw data for generating Figure 3B–E.
    elife-34135-fig3-data1.xlsx (21.7KB, xlsx)
    DOI: 10.7554/eLife.34135.010
    Figure 4—source data 1. Raw data for generating Figure 4B–E.
    elife-34135-fig4-data1.xlsx (15.5KB, xlsx)
    DOI: 10.7554/eLife.34135.012
    Figure 5—source data 1. Raw data for generating Figure 5B–D.
    elife-34135-fig5-data1.xlsx (19.8KB, xlsx)
    DOI: 10.7554/eLife.34135.015
    Figure 6—source data 1. Raw data for generating Figure 6C–E.
    elife-34135-fig6-data1.xlsx (9.8KB, xlsx)
    DOI: 10.7554/eLife.34135.018
    Figure 6—source data 2. Raw data for generating Figure 6F,G.
    elife-34135-fig6-data2.xlsx (45.4KB, xlsx)
    DOI: 10.7554/eLife.34135.019
    Transparent reporting form
    elife-34135-transrepform.docx (245.3KB, docx)
    DOI: 10.7554/eLife.34135.020

    Data Availability Statement

    All data generated or analysed during this study are included in the manuscript and supporting files. Source data files have been provided for Figures 2 -6.

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