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Research ArticleResearch Article: New Research, Development

Layer-Specific Glutamatergic Inputs and Parvalbumin Interneurons Modulate Early Life Stress-Induced Alterations in Prefrontal Glutamate Release during Fear Conditioning in Pre-adolescent Rats

Jiamin Song, Muzammil Younus, Hong Long, Tak Pan Wong and Claire-Dominique Walker
eNeuro 22 October 2025, 12 (11) ENEURO.0073-25.2025; https://doi.org/10.1523/ENEURO.0073-25.2025
Jiamin Song
1Integrated Program in Neuroscience, McGill University, Montreal, Quebec H4H 1R3, Canada
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Muzammil Younus
1Integrated Program in Neuroscience, McGill University, Montreal, Quebec H4H 1R3, Canada
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Hong Long
2Douglas Mental Health University Institute Research Center, Montreal, Quebec H4H 1R3, Canada
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Tak Pan Wong
2Douglas Mental Health University Institute Research Center, Montreal, Quebec H4H 1R3, Canada
3Department of Psychiatry, McGill University, Montreal, Quebec H4H 1R3, Canada
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Claire-Dominique Walker
2Douglas Mental Health University Institute Research Center, Montreal, Quebec H4H 1R3, Canada
3Department of Psychiatry, McGill University, Montreal, Quebec H4H 1R3, Canada
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Abstract

Exposure to early life stress (ELS) can exert long-lasting impacts on emotional regulation. The corticolimbic system including the basolateral amygdala (BLA), ventral hippocampus (vHIP), and the medial prefrontal cortex (mPFC) plays a key role in fear learning. Using the limited bedding paradigm (LB), we examined the functional consequences of ELS on excitatory and inhibitory tone in the prelimbic (PL) mPFC after fear conditioning in rats. In adults, LB exposure enhanced in vivo glutamate release in the PL mPFC during fear conditioning in male, but not female offspring. In contrast, the glutamate response to fear conditioning was diminished in LB-exposed pre-adolescent males, but not females. We investigated whether reduced glutamatergic inputs and/or elevated inhibitory tone might contribute to the diminished glutamate response in the mPFC following LB in pre-adolescent male rats. Indeed, we found that LB exposure specifically increased the activation of PV, but not SST interneurons in layer V, but not layer II/III of the PL mPFC in fear-exposed pre-adolescent males. Presynaptic glutamate release probability was reduced by LB exposure in layer V, but increased in layer II/III of the PL mPFC. These functional changes might be related to the LB-induced alterations in the bilaminar distribution of BLA and vHIP projections to the PL mPFC we observed in pre-adolescent males. Overall, our findings suggest that ELS modifies glutamate release and PL mPFC function during fear conditioning in a sex- and age-dependent fashion, likely through layer-specific shifts in excitation/inhibition balance.

  • early life stress
  • fear conditioning
  • glutamate
  • limited bedding
  • medial prefrontal cortex
  • pre-adolescent rats
  • PV interneurons

Significance Statement

Early life stress (ELS) increases the risk of developing affective disorders and long-term emotional dysregulation might arise from disruptions in the development of the fear circuitry. This study examines how ELS modifies fear-induced activity of long-range excitatory projections and local inhibitory microcircuits in the developing prefrontal cortex. We tested whether ELS-induced alterations in prefrontal cortex function are sex and age dependent, leading to the well-documented sex differences in emotional behavioral outcome. Studying how ELS differentially modifies regional excitatory inputs and cell type-specific activation in the prefrontal cortex during a critical period of brain development will enhance our understanding of the neurobiological mechanisms underlying the pathogenesis of emotional dysregulation and inspire more targeted intervention after exposure to early adversity.

Introduction

Early life stress (ELS) induces long-term vulnerability to psychiatric disorders, particularly those associated with emotional dysregulation, anxiety, and depression (Teicher et al., 2016; VanTieghem and Tottenham, 2018). The corticolimbic system, including projections from the basolateral amygdala (BLA) and ventral hippocampus (vHIP) to the medial prefrontal cortex (mPFC), plays a pivotal role in the regulation of fear (Giustino and Maren, 2015). The prelimbic (PL) region of the mPFC is particularly involved in the process of fear acquisition (Vidal-Gonzalez et al., 2006; Corcoran and Quirk, 2007; Burgos-Robles et al., 2009), and there are strong reciprocal connections between the BLA and mPFC, which associate aversive stimulus to auditory cues during fear conditioning (Little and Carter, 2013). The connectivity between the amygdala and the mPFC is also regulated by the vHIP as projections from this region encode contextual representations (Tovote et al., 2015). The maturation of the corticolimbic circuitry continues into early adulthood, making it adaptive to environmental cues, but also vulnerable to ELS during critical periods (Drzewiecki and Juraska, 2020; Tottenham, 2020). For instance, we and others previously demonstrated that ELS produces significant morphological and functional changes in BLA neurons (Raineki et al., 2012; Malter Cohen et al., 2013; Guadagno et al., 2018b), enhancing synaptic plasticity and neuron excitability in pre-adolescent males (Guadagno et al., 2020). ELS-exposed animals exhibited altered structural and functional connectivity between the BLA and the mPFC in parallel with elevated fear behavior in adulthood (Guadagno et al., 2018a; Junod et al., 2019; Honeycutt et al., 2020). During maturation of the BLA→mPFC projections, ELS-induced changes in the activity of BLA neurons might exert a “bottom-up” effect on the development and function of the mPFC via glutamatergic projections targeting this region. Indeed, early adversity disrupts dendritic structures, spine density, and synaptic plasticity in the PL mPFC of adult males (Monroy et al., 2010; Baudin et al., 2012; Mychasiuk et al., 2012) and increases mPFC innervation from the BLA in pre-adolescent and adult female rats (Honeycutt et al., 2020). Currently, the early, pre-puberty mechanisms leading to these adult consequences are still unclear.

Here, we initially tested the hypothesis that ELS would modify the in vivo glutamatergic response to fear conditioning in the PL mPFC of adult offspring and that some of these changes would already be detected in pre-adolescence. Long-range glutamatergic projections to the mPFC are well segregated between layers in the adult mPFC, where BLA and vHIP afferents target primarily layer II and layer V of the PL mPFC, respectively (Anastasiades and Carter, 2021). Such laminar distribution is not entirely mature before adolescence (Bouwmeester et al., 2002; Cunningham et al., 2002), indicating that ELS might also affect laminar organization within the mPFC. To examine the effects of ELS on the laminar distribution of projections to the PL mPFC, we used retrograde tracing to measure projection density from the BLA, vHIP, and mediodorsal thalamus (MDThal). In addition, we examined layer-specific ELS-induced presynaptic changes using electrophysiological field recordings of glutamatergic transmission in the PL mPFC.

In addition to changes in the activity and distribution of long-range excitatory inputs, ELS might also disrupt the local inhibitory microcircuits within the mPFC that tightly regulate these projections. Within the mPFC, parvalbumin (PV) and somatostatin (SST) interneurons are predominant (Rudy et al., 2011), and they emerge during the neonatal period. Local SST and PV interneurons first appear in the neocortex in the first and second postnatal week, respectively (del Rio et al., 1994; Pan et al., 2019). ELS has been shown to significantly reduce PV expression in the PL mPFC of adolescent males [postnatal day (P40); Holland et al., 2014; Grassi-Oliveira et al., 2016], suggesting that ELS might alter the developmental trajectory of PV interneurons. SST interneurons also affect the excitation/inhibition balance in the mPFC as they are known to inhibit PV interneurons during conditioned fear acquisition in adults (Courtin et al., 2014; Cummings and Clem, 2020). Whether ELS alters the participation of specific populations of local inhibitory interneurons on glutamatergic regulation in the pre-adolescent mPFC during fear acquisition is currently unclear. In the current study, we investigated potential ELS-induced changes in mPFC inhibitory tone by performing triple immunostaining of c-Fos, PV, and SST after fear conditioning in pre-adolescent rats. Our results suggest that ELS modifies both glutamatergic release probability and projection density in a layer-specific manner and that activation of PL mPFC PV, but not SST, interneurons after fear conditioning is enhanced by ELS in pre-adolescent offspring.

Materials and Methods

Animals

Timed-pregnant (gestation day 14) Sprague Dawley female rats (Charles River Laboratories) were individually housed under controlled conditions of light (12 h light/dark, reverse cycle, lights on at 8 P.M.), temperature (21–23°C), and humidity (40–70%), and provided ad libitum access to food and water. The day of parturition was considered as P0, and litters were culled to 10 pups on P1 with both males and females in the litters. Animals were weaned and group housed by sex and treatment on P21. A total of 63 mothers and their litters were used in these studies and distributed as follows: one cohort of 28 dams was used for in vivo microdialysis experiments, one cohort of 14 dams was used for immunohistochemistry, one cohort of 12 dams for retrograde tracing experiments, and another cohort of 21 dams was used for electrophysiology experiments. All experimental procedures were reviewed and approved by the Douglas Institute Animal Care Committee at McGill University in accordance with the ethical guidelines from the Canadian Council on Animal Care.

Limited bedding paradigm

To induce chronic ELS in the offspring, we used the limited bedding (LB) and nesting protocol adapted from the Baram Lab (Molet et al., 2014; Walker et al., 2017) and applied between P1 and 10. On the afternoon of P1, dams and their offspring were randomly assigned to the normal bedding (NB) or LB condition. In the LB condition, dams and their pups were placed on a metal mesh platform raised 2.5 cm above the cage floor and thus elevated from the woodchip bedding on the floor. The mothers were given one-half piece of paper towel as nesting material. The NB cages were given ∼2 cm layer of woodchips and one piece of paper towel. On P10, all cages were returned to the NB condition. Mothers and litters were weighed on P4, P10, P14, and P21 when cages were changed. Maternal behavior (active/passive nursing, pup grooming, self-grooming, eating, drinking, wandering, tail chasing) was video recorded for 24 h between P5 and P6 using infrared cameras and scored using four 60 min observation sessions (two sessions in the dark phase at ZT 14–15 and ZT 20–21 and two sessions in the light phase at ZT 2–3 and ZT 8–9). Behavior was scored at 1 min intervals during each observation session. A fragmentation of maternal behavior score of 1 was noted when behavior changed from one min to the next and zero if there was no change.

In vivo microdialysis

We focused on the right PL mPFC because our previous studies showed that the effects of LB on the synaptic plasticity of BLA neurons and the resting-state BLA→mPFC functional connectivity were more pronounced in the right hemisphere (Guadagno et al., 2018b, 2020). Surgery: A guide cannula used to insert the microdialysis probe into the PL mPFC target site was implanted in pre-adolescent (P23–25) and adult (P61–62) rats of both sexes and originating from either NB or LB conditions. Isoflurane (2−4%) anesthetized animals were stereotaxically implanted with a 22-gauge stainless-steel guide cannula (Plastics One) into the right PL mPFC at the following coordinates taken from the Paxinos atlas (Paxinos and Watson, 2006): Pre-adolescent, anteroposterior (A/P) +2.8 mm anterior to bregma, lateral (L) +0.51 mm right to the midline, and dorsoventral (D/V) 2.3 mm below the skull surface; Adults, A/P 3.1 mm anterior to bregma, L +0.6 mm right to the midline, and D/V 2.5 mm below the skull surface. The cannula was secured with acrylic dental cement anchored by two screws threaded into the cranium. A dummy head cap extending 2.7 mm beyond the bottom tip of the cannula (total length: 5.0 mm for pre-adolescents, 5.2 mm for adults) was inserted to prevent infection, cerebrospinal fluid (CSF) seepage, and to accommodate space for the probe on the experimental day. The skin incision was sutured with surgical silk and all rats received 0.5 ml of subcutaneous (s.c.) 0.9% saline for hydration. All animals were allowed a minimum recovery of 5 d before testing. Adult rats were singly housed prior to microdialysis testing, and juveniles were pair housed with a perforated Plexiglas barrier dividing the housing space in the cage, allowing smell and sight between the two compartments and thus minimizing social isolation distress.

Microdialysis probes

We used homemade I-shaped microdialysis probes (Luczynski et al., 2015) composed of side-by-side fused quartz inlet and outlet [internal diameter (ID) 50 μm] wrapped in polyethylene tubing (ID 0.58–0.38 mm). A regenerated, hollow cellulose membrane (Spectrum, molecular weight cutoff 13 kD; OD 216 μm; ID 200 μm) was secured to the end of a stainless-steel cannula (26 gauge) using cyanoacrylate adhesive and was sealed at its tip with Epoxy. The length of the active membrane was 1.5 mm. On the day of testing, the probe was inserted into the guide cannula, and the probe assembly was attached to a stainless-steel spring that was connected to a liquid swivel (CMA Microdialysis). A computer-controlled microdialysis pump (CMA Microdialysis) was used to pump artificial CSF (aCSF; in mM: 26 NaHCO3, 3 NaH2PO4, 1.3 MgCl2, 2.3 CaCl2, 3.0 KCl, 126 NaCl, 0.2 ʟ-ascorbic acid, pH 7.2) through the probe during microdialysis at a rate of 1 µl/min. The dialysate was collected at 10 min intervals (10 µl) from the quartz outlet. The dead volume of the system was ∼5 µl.

In vivo microdialysis during fear conditioning

In vivo microdialysis was performed on P28–32 in pre-adolescent rats and on P67–70 in adult rats. Testing took place in fear conditioning chambers (Actimetrics) in semidark conditions to respect the reverse light/dark cycle. A red lamp was placed on top of the cage to allow for video recordings of freezing behavior during testing. The fear chamber was cleaned with Peroxigard between trials. Animals were habituated to the fear conditioning chamber without cues or stimuli for 10 min per day on 2 consecutive days before testing. On the day of testing, a microdialysis probe was inserted into the animals' pre-implanted guide cannula, and the probe was perfused with sterile, degassed aCSF at a constant flow rate of 1 µl/min. Dialysate samples were collected but discarded during the first hour of testing to habituate the animals to the microdialysis context and the presence of the experimenter. Baseline microdialysate samples (10 µl) were collected every 10 min for 60 min before exposure to a 40 min session of fear conditioning. During fear conditioning, animals were exposed to 10 tone (50 dB, 30 s)–shock pairings (0.5 s, shock of 0.5 mA, coterminating with the tone) with an average of 4 min variable intertrial interval. Recovery dialysate samples were collected for 80 min after the end of fear exposure. Dialysate samples were collected in microtubes containing 1 µl of 0.125 M perchloric acid to prevent dialysate degradation and were immediately frozen at −80°C prior to high-pressure liquid chromatography (HPLC) analysis. Freezing behavior was video recorded before, during, and after fear conditioning and freezing behavior during the tones, and intertrial intervals of fear conditioning was manually scored and converted to percentage of freezing time. Freezing was defined as the absence of movement, except for respiration (Stevenson et al., 2009). All animals were killed at the end of the microdialysis session, and brains were extracted for histological identification of probe placement.

Histology

Microdialysis probe placement was confirmed from 20 µm coronal mPFC brain sections stained with cresyl violet. Only animals with correct placement in the PL mPFC were included in the analysis. The total number of animals included were as follows: pre-adolescent, 30 males and 21 females; adults, 27 males and 22 females.

Detection of glutamate concentrations by HPLC

Extracellular concentrations of glutamate in the dialysate were quantified by HPLC with fluorescence detection (HPLC-FD) as previously described (Luczynski et al., 2015). The chromatographic system was composed of a pump (UltiMate 3000 RS Pump, Dionex) and an injector connected to an Xterra MS C18 3.0 mm × 50 mm, 5 µm analytical column (Waters). The mobile phase consisted of 3.5% acetonitrile, 15% methanol, and 100 mM Na2HPO4 and was adjusted to a pH of 6.7. The flow rate was set at 0.5 ml/min, and the fluorescence detector (UltiMate 3000 Fluorescence Detector, Dionex) was set to an excitation frequency of 323 nm and to an emission frequency of 455 nm. On the day of the HPLC assay, the dialysate samples were transferred to fraction vials maintained on ice. Working standards (100 ng/ml glutamate) and derivatization reagents were prepared freshly. Standards were loaded with the samples into a refrigerated (10°C) autosampler (UltiMate 3000 RS Autosampler, Dionex). Before being injected into the analytical column, each sample was sequentially mixed with 20 µl of o-phthalaldehyde (OPA, 2.85 mM) diluted with 0.1 M Na2B4O7 and 20 µl of 3-mercaptopropionic acid (3-MPA, 75 mM) diluted with H2O and left to react for 5 min. After each injection, the injection loop was flushed with 20% methanol to prevent contamination of subsequent samples. The derivatization reagents (OPA and 3-MPA) were refilled every 48 h until the end of a run. Under these conditions, the retention time for glutamate was ∼0.7–1 min, with a total run time of 24 min/sample. Chromatographic peak analysis was performed by identification of unknown peaks in a sample according to retention times from known standards (Chromeleon Chromatography Data System software version 7, Thermo Fisher Scientific). The glutamate concentrations in the samples collected during and after fear conditioning were normalized to the average of six baseline samples from each individual.

Electrophysiological field recordings on mPFC slices

Slice preparation for field recording

To evaluate glutamate transmission at the synaptic level, we performed electrophysiological field recordings of the PL mPFC in pre-adolescent NB or LB males aged P28–35 (n = 8–15 animals per group). Animals were anesthetized with a ketamine-xylazine cocktail (0.1 ml/100 g body weight, s.c.) and transcardially perfused with ice-cold NMDG-substituted aCSF (in mM: 92 NMDG, 2.5 KCl, 1.25 NaH2PO4, 30 NaHCO3, 20 HEPES, 25 glucose, 2 thio-urea, 5 Na-ascorbate, 3 Na-pyruvate, 0.5 CaCl2·2H2O, 10 MgSO4·7H2O, pH 7.4) until the liver became pale yellow, as described before (Ting et al., 2014). The brain was rapidly extracted, marked on the left hemisphere with a blade, and the anterior brain containing the right mPFC was sliced into 350 µm coronal sections using a vibratome (Leica Microsystems) in the same solution. After sectioning, brain slices were incubated in NMDG aCSF maintained at 32°C for 10 min and then kept in HEPES holding aCSF (in mM: 92 NaCl, 2.5 KCl, 1.25 NaH2PO4, 30 NaHCO3, 20 HEPES, 25 glucose, 2 thio-urea, 5 Na-ascorbate, 3 Na-pyruvate, 2 CaCl2·2H2O, 2 MgSO4·7H2O, pH 7.4) at room temperature for at least 1 h before recording. NMDG aCSF and holding HEPES aCSF were freshly prepared from 10× stock and continuously oxygenated with a mixture of 95% O2/5% CO2.

Ex vivo electrophysiological field recording

Brain slices including the right mPFC were placed in a recording chamber perfused with oxygenated aCSF (in mM: 125 NaCl, 2.5 KCl, 2 CaCl2, 2 MgCl2, 1.25 NaH2PO4, 26 NaHCO3, 25 glucose, pH 7.4, Osm 310-320). Evoked field excitatory postsynaptic potentials (fEPSPs) were induced by a bipolar stimulating electrode (#30255, Frameless Hardware Company) and recorded via an aCSF-filled glass electrode. To mainly target BLA afferents to PL mPFC, the stimulating electrode was positioned at the layer I/II border of the right PL mPFC, while the recording electrode was placed in layer II/III of the right PL mPFC. To target vHIP afferents, the stimulating electrode was placed at the border of layer V and VI, with the recording electrode in layer V. The intensity of electrical stimulation for paired-pulse experiments was adjusted to the stimulation intensity that evoked the 40% maximum amplitude of field potential response. Paired pulses were recorded with various intervals at 25, 50, 100, and 200 ms, and at least 10 traces were recorded for each interval. For each slice recording, the paired-pulse ratio (PPR) was calculated by dividing the slope of the second fEPSP response by that of the first response, taking the slope value between 10 and 60% of fEPSP responses. All recordings were amplified by MultiClamp 700B and stored in a PC for offline analysis using Clampfit software (Axon, Molecular Devices).

Retrograde tracing of right PL mPFC projections

In order to determine the proportion of projections to the PL mPFC from the BLA, vHIP, and MDThal, pre-adolescent and adult NB and LB male offspring (5–7 rats/group) were injected on P21 or P61 with a fluorescent retrograde tracer (Cholera toxin B, CTb, #C34778, Thermo Fisher Scientific) in the right PL mPFC (layer II/III or layer V). Isoflurane (2−4%) anesthetized animals were placed in a stereotaxic apparatus and a small hole was drilled in the skull to lower a CTb glass-filled pipet at the following coordinates: Pre-adolescent, layer II/III, A/P bregma +2.9 mm, L +0.55 mm, D/V −2.6 mm; layer V, A/P bregma +2.9 mm, L +0.95 mm, D/V −2.6 mm; Adult, layer II/III, A/P bregma +3.15 mm, L +0.65 mm, D/V −2.95 mm; layer V, A/P Bregma +3.15 mm, L +1.15 mm, D/V −2.95 mm. CTb (40 nl in pre-adolescents and 80 nl in adults) was pressure-injected in four or eight intervals (10 nl each) through a glass pipet, and the pipet was left in place for 5 min before removing it from the brain. Animals were weaned and housed in pairs according to neonatal treatment (NB or LB) and perfused transcardially 1 week after injection with ice-cold 0.9% saline for 5 min, followed by a 20 min perfusion with 4% paraformaldehyde (PFA) in 1× phosphate buffer (18.98 mM NaH2PO4·H2O, 95.8 mM Na2HPO4, pH 7.41). The brains were extracted and stored in 4% PFA at 4°C overnight, then transferred to a 30% sucrose solution in 1× phosphate-buffered saline (PBS; in mM: 137 NaCl, 2.7 KCl, 10 Na2HPO4, 1.8 KH2PO4, pH 7.4) for 48 h at 4°C. The left side of the brains was marked using a blade, and brains were stored at −80°C until slicing. Twenty-micrometer coronal sections of the mPFC were collected on glass slides and imaged under a fluorescent microscope (Zeiss Observer Z1) to assess correct placement of the CTb injection. Fifty-micrometer coronal sections including target areas projecting to the mPFC were collected and stored on uncharged slides at −20°C until being processed for CTb imaging. Images of BLA (anterior and posterior), vHIP, and MDThal sections were taken with a Zeiss Observer Z1 fluorescence microscope. Z-stack images of the regions of interest (ROIs) were acquired with a step size of 3 µm. The images were taken at 20× magnification, with exposure time of 30 ms for DAPI (4′,6-diamidino-2-phenylindole) and 1 s for CTb (Far red). The number of CTb-positive cells was counted manually and expressed as density of cells/surface analyzed (mm2). Three to five sections per animal were analyzed for each ROI.

Fear-induced interneuron activation in the PL mPFC

To examine whether fear-induced activity of mPFC PV and SST interneurons was modified by early life experience, we performed triple fluorescence immunohistochemistry for Fos, SST, and PV on sections of the PL mPFC from brains of pre-adolescent (P28–29) offspring exposed to fear conditioning using a protocol similar to the microdialysis experiments. Briefly, 23 pre-adolescent (P28–29) males from either NB or LB mothers were assigned to either a fear conditioning group or a naive control group (n = 5–6 rats per group). Fear conditioning boxes were the same as those used for microdialysis experiments, and animals were tested in semidark conditions under red light. In the fear group, animals were placed in the chambers, given 30 min to acclimatize to the experimental context before they were exposed to a 40 min fear conditioning session using the same parameters described above for microdialysis. The “fear” condition can be constructed as a composite of novel environment and shock exposure, similarly to the conditions used in our microdialysis experiments. Animals were perfused 60 min after the onset of fear conditioning. Naive animals were kept undisturbed in their home cage until anesthetized for perfusion and tissue collection. Animals were perfused and brains were fixed as described above (see retrograde tracing experiments) for determination of Fos, PV and SST by immunohistochemistry.

Triple fluorescence immunohistochemistry for Fos, PV, and SST

Fifty-micrometer free-floating sections of the mPFC were brought to room temperature for 30 min and washed three times for 5 min in 1×X PBS. They were incubated for 20 min with 0.3% H2O2 (30%, H1009, Sigma Millipore) in 1× PBS and then washed three times for 5 min in 1× PBS. After 1 h incubation in blocking solution (3% Normal Goat Serum, S-2000, Vector Laboratories; 0.25% Triton X-100, Sigma Millipore; 1× PBS), sections were incubated with the primary rabbit anti-Fos (1:2,000, #226008, Synaptic Systems) and mouse anti-SST (1:500, sc-74556, Santa Cruz Biotechnology) antibodies for 45 min at room temperature followed by overnight incubation at 4°C on a rotating platform. The following day, sections were washed three times for 5 min in 1× PBS and incubated for 2 h with the Secondary Goat Anti-Rabbit antibody Alexa-488 (1:1,000, A11008, Invitrogen by Thermo Fisher Scientific) and Goat Anti-Mouse antibody Alexa-568 (1:1,000, A11031, Invitrogen by Thermo Fisher Scientific) at room temperature. All procedures were performed in the dark from this point on. The sections were washed three times for 5 min in 1× PBS and then incubated with the primary Guinea Pig anti-PV antibody (1:2,000, #195004, Synaptic Systems) for 45 min at room temperature and then overnight at 4°C. The next day, sections were washed three times for 5 min in 1× PBS and then incubated with the Secondary Goat Anti-Guinea Pig antibody Alexa-647 (1:1,000, #106-605-003, Jackson ImmunoResearch) for 2 h. Sections were washed three times for 5 min in 1× PBS and mounted onto charged slides using DAPI HardSet mounting medium (H-1500, Vector Laboratories). The slides were stored at 4°C in the dark until imaging.

Microscopy imaging and cell quantification

Images of brain sections containing c-Fos/PV/SST were taken with a Zeiss Observer Z1 fluorescence microscope. Z-stack images of the PL mPFC were taken with a step size of 3 µm. The images were acquired at 20× magnification with an exposure time of 50 ms for DAPI, 120 ms for GFP (Fos), 220 ms for RFP (SST), and 67 ms for FR (PV) in triple immunostaining series. The quantification of Fos, SST, and PV-positive cells as well as coexpression of Fos in SST- and PV-positive cells was performed manually and divided into layer II/III and layer V. The PL mPFC area of cell quantification was outlined with µm as unit of length, and total cell counts were converted to cell density measurement in mm2. For each animal included, 3–5 brain sections were analyzed.

Statistical analysis

All data were reported as mean (±SEM). Body weight data were analyzed using a two-way ANOVA with bedding as a between-subject factor and postnatal day as a within-subject factor. Two-way ANOVA was also performed on maternal behavior with bedding as between-subject factor and light phase as within-subject factor. In microdialysis experiments, we first used an unpaired two-tailed Student’s t test to test for bedding group differences in averaged baseline glutamate levels. Since there were no differences in baseline levels, microdialysis data were expressed as a function of baseline and analyzed using a two-way ANOVA with bedding as a between-subject factor and time as a within-subject factor. Post hoc Dunnett’s tests were used to compare the experimental timepoints against the baseline. In the microdialysis data, extreme outlier values for the baseline period that were more than ±1.5 SD were removed (27 values out of 564). The relatively liberal exclusion approach was applied because the sample size of baseline (n = 6) was small in each animal compared with the remainder of the samples (n = 12). Outlier values in the fear conditioning and recovery sessions that exceeded 2 SD were excluded from the analysis. Missing and excluded outlier values in the mixed design two-way ANOVA analysis of microdialysis data were estimated using the formula X=[rU+β(ABij)–Ai]/[(r−1)(β−1)] as described previously (Cochran and Cox, 1957). Behavioral freezing responses were analyzed with a two-way ANOVA using bedding as a between factor and time as a within factor. Field recording data (PPR of fEPSP slopes) and the effects of bedding condition and interval were analyzed with two-way ANOVAs with bedding condition as a between-subject factor and interval as a within-subject factor. Density of CTb-positive cells in the various ROIs were analyzed using a two-way ANOVA with bedding and injection sites (layer) as between-subject factors. For the mPFC immunohistochemical data, the effects of LB on the expression of Fos, PV, SST, and colocalization of Fos with either PV or SST were analyzed using a two-way ANOVA with bedding and treatment (naive vs fear) as between-subject factors. Significant interactions were further assessed by simple main effects analysis, followed by post hoc Bonferroni’s tests to compare bedding conditions and treatments. For all analyses, the level of significance was set at p < 0.05. Graphs were created and statistical analyses were performed with Prism 10 (GraphPad Software).

Results

Effect of LB on maternal behavior and offspring body weight

Exposure to LB between P1 and P10 was used to induce early stress in the offspring. Accordingly, pup body weight calculated as the average litter weight was significantly lower in LB compared with NB offspring (Table 1). Two-way ANOVA with repeated measures across age showed significant effects of age (F(1.306,47) = 1416, p < 0.0001) and bedding (F(1,36) = 8.143, p = 0.0071) as well as a significant interaction between age and bedding (F(4,144) = 3.259, p = 0.0136). Post hoc Bonferroni’s test revealed that LB conditions transiently reduced offspring weight on P4 (p = 0.0414), P10 (p < 0.0001), and P14 (p = 0.0232). By P21, LB pup body weight was similar to control NB conditions, showing no significant difference between the NB and LB groups (p = 0.543). Changes in offspring body weight were observed in the face of modest changes in maternal behavior (Table 1).

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Table 1.

Maternal behavior scores and body weights in normal and limited bedding pups

A two-way ANOVA, with bedding as between-subject factor and light cycle as within-subject factor, showed no significant interaction between bedding conditions and light phase, nor significant effects of bedding conditions on the four categories of behavior analyzed (nursing, self-grooming, pup grooming, and fragmentation). Consistent with previous results (Guadagno et al., 2018b), both NB and LB mothers nursed more during the light phase than the dark phase (light effect: F(1,33) = 99.68, p < 0.0001), but displayed more self-grooming behavior (light effect: F(1,33) = 55.57, p < 0.0001) and fragmentation (light effect: F(1,33) = 69.25, p < 0.0001) during the dark phase. Although we did not observe significantly increased fragmentation of maternal behavior in LB conditions, the reduction in body weight in LB offspring was consistent with previous studies (Brunson et al., 2005; Arp et al., 2016; Guadagno et al., 2018b), indicating that pups experienced chronic stress in LB conditions.

Fear-induced glutamate responses in the prelimbic mPFC and freezing behavior

Adults

To examine the effects of LB on fear-induced glutamate response in the PL mPFC when the fear circuitry is fully developed, we first measured extracellular glutamate concentrations before, during, and after a 40 min session of fear conditioning in adult males and females using in vivo microdialysis (Fig. 1A). As illustrated in Figure 1B, only animals with confirmed probe placement in the PL mPFC were included in the analysis (males: n = 13–14, females: n = 9–13). Basal levels of glutamate release (average of B1–B6) were similar between NB and LB adult offspring in both males (t(26) = 1.037, p = 0.3091; Fig. 1C) and females (t(22) = 0.2090, p = 0.8364; Fig. 1D). All values of glutamate concentrations after the onset of fear conditioning were expressed as a percentage of the individual baseline values. Two-way ANOVAs with bedding conditions as between-subject factor and time as within-subject factor were performed to analyze PL mPFC glutamate release in both sexes. In adult males, LB exposure enhanced the fear-induced glutamate responses with a significant main effect of bedding (F(1,25) = 4.884, p = 0.0365) and time × bedding interaction (F(12,300) = 2.513, p = 0.0037), but no significant time effect (Fig. 1E). Subsequent post hoc Dunnett’s tests found that glutamate concentrations significantly increased above baseline during F2 (p < 0.05) and after fear conditioning (R6 and R8, p < 0.05) in the LB-exposed adult offspring exclusively, but not in NB controls. When analyzing glutamate concentrations as a function of the layer where the probe was mainly located, we observed a significant bedding effect for layer V (F(1,12) = 7.177; p = 0.02), but not when the probe was located in layer II/III or at the border of both layers. In contrast, glutamate concentrations in the PL mPFC during and after fear conditioning were not significantly altered between NB and LB adult females (bedding: F(1,20) = 2.161, p = 0.1571; time: F(12,240) = 1.483, p = 0.1308; bedding × time interaction: F(12,240) = 0.7689, p = 0.6822; Fig. 1F).

Figure 1.
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Figure 1.

Sex-dependent effects of LB on fear-induced glutamate release in the right PL mPFC of NB and LB adult rats. A, Representation of the experimental microdialysis protocol with 60 min of wash time, 60 min of baseline, 40 min of fear conditioning, and 80 min of recovery. Microdialysate samples were collected every 10 min from the start of baseline (B1). B, Distribution of the probe placements within the right PL mPFC on the Paxinos atlas (Paxinos and Watson, 2006) and representative coronal brain section for microdialysis probe placement stained with cresyl violet at 4× magnification. Lengths of the blue and black lines correspond to the 1.5 mm length of the active membrane of the microdialysis probes in NB and LB animals, respectively. C, D, Basal levels of extracellular glutamate concentrations pooled from B1–B6 samples collected from NB and. LB adult males and females before fear conditioning. There were no significant differences between NB and LB adult offspring in either sex (Student’s t test). E, F, Extracellular glutamate concentrations normalized as percentage of baseline in the right PL mPFC of NB and LB adult males and females during (F1–F4) and after (R1–R8) fear conditioning. Shaded areas represent the 40 min duration of fear conditioning. Two-way ANOVA with bedding as between-subject factor and time as within-subject factor showed that normalized fear-induced glutamate concentrations were higher in the PL mPFC of LB adult males compared with NB adult males (bedding effect p < 0.05, bedding × time interaction p < 0.01), but not in adult females. Glutamate concentrations were significantly increased above baseline during (F2) and after (R6, R8) fear conditioning in the LB adult males (Dunnett’s post hoc test, p < 0.05). G, H, Percentage of freezing time during exposure to 10 tone–shock pairings in NB and LB offspring during in vivo microdialysis. Although fear conditioning increased freezing behavior in both adult males and females (time effect: p < 0.001), bedding effect was significant only in male offspring (p < 0.05), where freezing in LB was higher than in NB rats (two-way ANOVA with bedding as between-subject factor and time as within-subject factor). All values are represented as mean ± SEM. n = 9–14 per group.

Figure 1-1

Freezing behavior during fear conditioning intervals in NB and LB offspring. Download Figure 1-1, DOC file.

Consistent with higher glutamate concentrations in LB adult males during fear conditioning, we also observed increased freezing behavior in LB compared with NB offspring during the 40 min session of fear conditioning (10 tone/shock pairings; Fig. 1G). Two-way ANOVAs with bedding conditions as between-subject factor and time as a within-subject factor showed a significant effect of bedding (F(1,25) = 7.076, p = 0.0134) and time (F(9,225) = 21.96, p < 0.0001), but no significant interaction in males. In adult females, freezing behavior significantly increased during fear conditioning (time: F(9,180) = 7.716, p < 0.0001), but there was no significant difference between NB and LB animals (bedding: F(1,20) = 0.03029, p = 0.8636; and no time × bedding interaction; Fig. 1H). Freezing behavior during the intervals between the tone shock pairings did not exhibit any effect of bedding for any of the experimental groups tested, except for the adult male group (Extended Data Fig. 1-1), indicating that the behavioral freezing response to context was also higher in LB compared with NB offspring.

Pre-adolescents

Because of the protracted development of the mPFC until early adulthood, we hypothesized that the consequences of early LB conditions on fear-induced glutamate responses might be different between adult and pre-adolescent male and female offspring. In a similar experimental design as for the adults (Fig. 2A), we tested rat offspring between P28–32. This age range was chosen to correspond to a large increase in mPFC glutamatergic projections originating from the BLA and vHIP observed approximately at P30 (Pattwell et al., 2016). Only animals with PL mPFC probe placement were included in our analyses (Fig. 2B; males: n = 13–17; females: n = 9–12). Similar to the adult offspring, basal levels of glutamate concentrations were not altered by bedding conditions in pre-adolescent males (t(26) = 0.6912, p = 0.4956; Fig. 2C) or females (t(21) = 1.239, p = 0.2290; Fig. 2D). In male offspring, two-way ANOVA analysis of PL mPFC glutamate concentrations showed a trend for a significant bedding effect (F(1,28) = 2.45, p = 0.1287), but no significant time effect (F(12,336) = 1.207, p = 0.2766), or time × bedding interaction (F(12,336) = 1.262, p = 0.2395). Even though the bedding effect did not reach significance, glutamate concentrations in the PL mPFC increased after fear conditioning in NB male rats, while this response was absent in LB male rats. Post hoc Dunnett’s tests revealed that fear conditioning significantly increased PL extracellular glutamate concentrations during the first 20 min of fear conditioning (F1, F2) and the last 10 min of testing (R8) in the NB male offspring only (p < 0.05; Fig. 2E). This contrasts with the situation we observed in adult offspring, where LB response to fear conditioning was higher than that of NB offspring. On the other hand, similar to adult females, glutamate release in the PL mPFC of pre-adolescent females was not affected by bedding conditions or fear conditioning (bedding: F(1,19) = 0.3773, p = 0.5463; time: F(12,221) = 0.6677, p = 0.7815, no interaction; Fig. 2F). Two-way ANOVAs of freezing behavior revealed that both NB and LB pre-adolescent males and females were able to acquire the fear association at a young age (Fig. 2G,H), as indicated by increased freezing behavior (time effect: male, F(9,252) = 11.09, p < 0.0001; female, F(9,171) = 9.196, p < 0.0001), but the freezing response was not significantly different between bedding conditions and there was no significant time × bedding interaction for either sex. Freezing behavior during the intervals between the tone shock pairings was not significantly affected by bedding (Extended Data Fig. 1-1).

Figure 2.
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Figure 2.

Sex-dependent effects of LB on fear-induced glutamate release in the right PL mPFC of NB and LB pre-adolescent rats. A, Representation of the experimental microdialysis protocol with 60 min of wash time, 60 min of baseline, 40 min of fear conditioning, and 80 min of recovery. Microdialysate samples were collected every 10 min from the start of baseline (B1). B, Distribution of the probe placements within the right PL mPFC on the Paxinos atlas (Paxinos and Watson, 2006) and representative coronal brain section for microdialysis probe placement stained with cresyl violet at 4× magnification. Lengths of the blue and black lines correspond to the 1.5 mm length of the active membrane of the microdialysis probes in NB and LB animals, respectively. C, D, Basal levels of extracellular glutamate concentrations pooled from B1–B6 samples collected from NB and. LB adult males and females before fear conditioning. There were no significant differences between NB and LB pre-adolescent offspring in either sex (Student’s t test). E, F, Extracellular glutamate concentrations normalized as percentage of baseline in the right PL mPFC of NB and LB pre-adolescent males and females during (F1–F4) and after (R1–R8) fear conditioning. Shaded areas represent the 40 min duration of fear conditioning. Two-way ANOVA with bedding as between-subject factor and time as within-subject factor showed that normalized fear-induced glutamate concentrations tended to be lower in the PL mPFC of LB-exposed pre-adolescent males (p = 0.128), but this trend was not observed in females. In males, increases in glutamate concentrations over baseline were significant at F1, F2, and R8 in NB offspring (p < 0.05). G, H, Percentage of freezing time during exposure to 10 tone–shock pairings in NB and LB offspring during in vivo microdialysis. Fear conditioning increased freezing behavior in both adult males and females (time effect: p < 0.001), with no significant effect of bedding conditions (two-way ANOVA with bedding as between-subject factor and time as within-subject factor). All values are represented as mean ± SEM. n = 9–17 per group.

In summary, the effects of LB on fear-induced PL mPFC glutamate concentrations were sex and age dependent. Fear-induced glutamatergic transmission was elevated by LB exposure in adult males, while it tended to be reduced in this region in pre-adolescent males. No significant effects were observed in females at either age. Because significant LB effects were found mostly in males, our subsequent studies focused on the investigation of male PL mPFC function and potential mechanisms leading to the observed changes. However, we are aware that the lack of LB effect in females might correspond to different developmental processes affected in females that could compensate or provide greater adaptability to early adverse conditions in infancy.

Effects of LB on layer-specific presynaptic glutamate release in the PL mPFC of pre-adolescent male offspring

In order to investigate whether the reduced glutamate release during fear conditioning in LB-exposed pre-adolescent males might be due to low presynaptic glutamate release in either layer II/III or layer V, we examined in vitro presynaptic glutamate transmission by electrophysiological fEPSP recordings on mPFC slices of pre-adolescent male NB and LB offspring on P28–35. We recorded fEPSPs that were evoked by paired-pulse stimulations at different interpulse intervals (25–200 ms) in either layer II/II or layer V. As illustrated in Figure 3A,D, the stimulating and recording electrodes were placed either in layer II/III or layer V of the PL mPFC. The PPRs expressed as the calculated ratio of the second pulse over the first pulse of fEPSP slopes were analyzed to evaluate presynaptic glutamate release probability (layer II/III, Fig. 3B,C; layer V, Fig. 3E,F). For layer II/III of the PL mPFC, a two-way ANOVA test with bedding condition as a between-subject factor and interval as a within-subject factor revealed that PPRs were significantly reduced by the LB condition (bedding: F(1,26) = 6.561, p = 0.0166), but not affected by the interval (F(3,78) = 1.434, p = 0.2392). There was no bedding × interval interaction for recordings in layer II/III (Fig. 3C). When field recordings were conducted with stimulating and recording electrodes placed in the layer V of the PL mPFC, a different pattern emerged. A two-way ANOVA test with bedding condition as a between-subject factor and interval as a within-subject factor revealed that PPRs in the layer V of the PL mPFC were significantly higher in the LB offspring compared with the NB controls (bedding: F(1,18) = 6.897, p = 0.0171; interval: F(3,54) = 2.268, p = 0.0910; bedding × interval: F(3,54) = 1.766, p = 0.1645; Fig. 3E,F), suggesting that LB exposure reduced presynaptic glutamate release probability in the layer V of PL mPFC. Collectively, we found that the LB-induced alterations in glutamatergic transmission in the PL mPFC of pre-adolescent males were layer specific, where the probability of presynaptic glutamate release was increased in layer II/III, but decreased in layer V of PL mPFC.

Figure 3.
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Figure 3.

In vitro layer-specific presynaptic glutamate transmission in slices from the right PL mPFC of NB and LB pre-adolescent male offspring. A, Schematic placement of the stimulating and recording electrodes in the layer II/III of PL mPFC. B, Representative fEPSP traces evoked by paired-pulse stimulations at various interstimulus intervals (25–200 ms) in the layer II/III of PL mPFC in NB and LB animals. Blue lines represent the slopes of the paired fEPSPs at 25 ms (Calibration: 0.2 mV; 25 ms). C, Paired-pulse ratios (PPRs) of fEPSP slopes at different intervals in the layer II/III of PL mPFC for NB (n = 13) and LB (n = 15) offspring. Two-way ANOVA with bedding (between-subject) and interval (within-subject) factors showed that PPRs in the layer II/III of PL mPFC were significantly lower in the LB-exposed pre-adolescent male offspring compared with NB controls (bedding effect: p < 0.05). D, Schematic placement of the stimulating and recording electrodes in the layer V of PL mPFC. E, Representative fEPSP traces evoked by paired-pulse stimulations at various interstimulus intervals (25–200 ms) in the layer V of PL mPFC in NB and LB animals. Blue lines represent the slopes of the paired fEPSPs at 25 ms (Calibration: 0.2 mV; 25 ms). F, PPRs of fEPSP slopes at different intervals in layer V of the PL mPFC for NB (n = 8) and LB (n = 12) offspring. Two-way ANOVA with bedding (between-subject) and interval (within-subject) factors showed that PPRs in the layer V of PL mPFC were significantly higher in LB animals than in NB controls (bedding effect: p < 0.05). All values are represented as mean ± SEM. *p < 0.05.

Layer-specific long-range projections to the PL mPFC are altered by LB conditions in pre-adolescent male offspring

To investigate whether layer-specific alterations in PL mPFC presynaptic glutamate release induced by LB might be associated with an altered laminar distribution of long-range glutamatergic projections in this region, we examined the density of projecting neurons in the BLA, vHIP, and MDThal synapsing in either superficial (layer II/III) or deep layers (layer V) of the PL mPFC in NB and LB pre-adolescent males. Besides the BLA and the vHIP, the MDThal is one of the most prominent subcortical regions contributing to glutamatergic afferents to the PL mPFC and participates in fear regulation (Ährlund-Richter et al., 2019; Venkataraman and Dias, 2023). As illustrated in Figure 4A, a retrograde tracer (CTb) was injected in either the layer II/III or the layer V of the PL mPFC on P21 (left panels), and quantification of CTb+ neurons in the BLA, vHIP, and MDThal was performed a week later (P28). The anterior and posterior BLA (aBLA, bregma −1.68 to −2.5 mm; pBLA, bregma −2.51 to 3.36 mm; Paxinos and Watson, 2006) were analyzed separately since LB induces significant differences in projections from these two regions to the mPFC (Guadagno et al., 2018a). In the aBLA, a two-way ANOVA test using bedding condition and layer as between-subject factors showed a significant main effect of bedding condition (F(1,19) = 5.78; p = 0.0266) and a significant interaction between bedding condition and layer (F(1,19) = 10.59; p = 0.0042), without a significant difference between layers (F(1,19) = 3.193; p = 0.899; Fig. 4B). Bonferroni’s post hoc test revealed that LB exposure significantly increased the density of CTb+ neurons in the aBLA that are projecting to layer V (p < 0.001), but not layer II/III of the PL mPFC. In LB-exposed offspring, the density of aBLA neurons projecting to layer V was also significantly higher than that projecting to layer II/III of the PL mPFC (p < 0.01). The LB-induced changes in PL mPFC-projecting neurons in the aBLA of pre-adolescent males did not persist into adulthood (Extended Data Fig. 4-1). Similarly to LB pre-adolescent offspring, in the adult, the density of CTb-positive neurons projecting to layer V of the PL mPFC was significantly higher than that targeting layers II/III (layer effect: F(1,24) = 12.37, p = 0.0018), but there was no significant effect of bedding condition in the adult (Extended Data Fig. 4-1A). These results suggested that the laminar distribution of PL mPFC-projecting aBLA neurons was precocious in LB-exposed pre-adolescent male offspring compared with their NB counterparts. In contrast, the density of pBLA neurons projecting to the PL mPFC did not significantly differ between bedding conditions or laminar destination in both young (bedding: F(1,20) = 4.290, p = 0.0515; layer: F(1,20) = 0.6975, p = 0.4135; bedding × layer interaction: F(1,20) = 1.183, p = 0.2896; Fig. 4C) and adult males (Extended Data Fig. 4-1B).

Figure 4.
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Figure 4.

Density of PL mPFC-projecting neurons in the right BLA, vHIP, and MDThal of NB and LB pre-adolescent males. A, Representative CTb+ fluorescent images taken from the BLA, vHIP, and MD after CTb injection in the layer II/III or layer V of PL mPFC in P28–29 male NB offspring. Images were taken at 20× magnification and the scale bars represent 50 μm. B, E, Density of CTb+ neurons (cells/mm2) targeting either layer II/III or layer V of the PL mPFC in the aBLA (B), pBLA (C), vHIP (D), or MD (E) of NB or LB offspring. Two-way ANOVA with bedding and layer as between-subject factors was used to analyze these data. B, Density of CTb+ neurons targeting layer V of the PL mPFC in the aBLA of LB-exposed animals was significantly higher than NB controls (bedding effect: p < 0.05; bedding × layer interaction: p < 0.01). Compared with layer II/III projecting neurons, there were more aBLA neurons synapsing in layer V in LB-exposed offspring, but not in NB controls. C, Density of PL-projecting neurons in the pBLA was not affected by bedding conditions or laminar destinations. D, Density of PL layer V projecting neurons was significantly higher than that of PL layer II/III projecting neurons in the vHIP (layer effect: p < 0.01). E, Density of PL Layer V projecting neurons in the MD was significantly lower than that of PL layer II/III projecting neurons (layer effect: p < 0.05). All values are represented as mean ± SEM. n = 5–7 animals per group. **p < 0.01. ***p < 0.001.

Figure 4-1

Download Figure 4-1, TIF file.

In the vHIP, a two-way ANOVA test using bedding condition and layer as between-subject factors showed a significant effect of layer (F(1,20) = 8.733, p = 0.0078), but no effect of bedding (F(1,12) = 0.2936, p = 0.5939) or bedding × layer interaction (Fig. 4D). As reported in adults (Liu and Carter, 2018), vHIP projections to the PL mPFC in pre-adolescent rats were higher in layer V compared with layer II/III of PL mPFC. Interestingly, the difference between laminar destinations of vHIP projections in the PL mPFC tended to be significant only in NB (Student’s t test, p < 0.01), but not in LB-exposed animals. In the MDThal, a two-way ANOVA revealed a significant main effect of layer (F(1,20) = 6.475, p = 0.0193), indicating a higher density of CTb+ neurons when CTb was injected into layer II/III compared with layer V, consistent with previous findings in adults (Anastasiades and Carter, 2021). No significant effect of bedding or bedding × layer interaction were observed (bedding: F(1,20) = 0.3374, p = 0.5678; bedding × layer interaction: F(1,20) = 0.7798, p = 0.3877; Fig. 4E).

Effect of LB on activation of PL mPFC interneurons after fear conditioning in pre-adolescent male offspring

In the mPFC, glutamatergic inputs not only synapse on excitatory pyramidal neurons, but they are highly gated by the activity of local inhibitory interneurons (Tremblay et al., 2016). To test whether reduced fear-induced glutamate concentrations observed in pre-adolescent LB male offspring in our microdialysis experiments could be due to increased inhibitory tone in the PL mPFC, we examined activation of PV and SST interneurons 60 min after the onset of fear conditioning using triple immunostaining for Fos, SST, and PV in the PL mPFC of male offspring on P28–29 (Fig. 5A). We first quantified the density of PV and SST interneurons in the layer II/III and layer V of the right PL mPFC in both NB and LB pre-adolescent males. Two-way ANOVAs were conducted with bedding condition as the between-subject factor and cortical layer as the within-subject factor. The analyses revealed no significant effects of bedding condition or layer on the density of PV+ (bedding effect: F(1,21) = 0.0007, p = 0.9796; layer effect: F(1,21) = 3.572, p = 0.0727; Fig. 5B) or SST+ cells (bedding effect: F(1,21) = 1.37, p = 0.2556; layer effect: F(1,21) = 0.60, p = 0.4464; Fig. 5C). Two-way ANOVAs with bedding condition and fear treatment as between-subject factors were used to analyze c-Fos expression (Fig. 5D,E) and coexpression with PV (Fig. 5F,G) and SST (Fig. 5H,I) in layer II/III and layer V PL mPFC of naive control and fear-exposed NB or LB offspring. The overall expression of c-Fos in the PL mPFC was significantly elevated by fear exposure (treatment effect: layer II/III, F(1,19) = 18.29 p = 0.0004; layer V, F(1,19) = 20.37, p = 0.0002), without a significant bedding effect (layer II/III: F(1,19) = 1.366, p = 0.257; layer V: F(1,19) = 0.002695, p = 0.9591) or bedding × treatment interaction (layer II/III: F(1,19) = 0.7328 p = 0.405; layer V: F(1,19) = 1.176, p = 0.2918) in both layers of PL mPFC (Fig. 5D,E).

Figure 5.
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Figure 5.

Density and activation of parvalbumin (PV) and somatostatin (SST) interneurons after fear conditioning in pre-adolescent NB and LB males. A, Representative triple immunofluorescence staining images taken from the right PL mPFC after fear conditioning in P28–29 NB male rats showing c-Fos positive (green), SST-positive (red), PV-positive (magenta), and merged expression of c-Fos-, SST-, and PV-positive cells. Images were taken at 20× magnification, white dotted line represent the midline and scale bars represent 50 μm. Yellow stars and blue stars indicate the colocalization of SST/c-Fos and PV/c-Fos in the zoomed-in image, respectively. Two-way ANOVA with bedding as between-subject factors and layer as within-subject factors were used to analyze the density of PV+ (B) and SST+ (C) cells in the right PL mPFC. Neither PV+ nor SST + cell density was affected by bedding condition or laminar region. D–I, c-Fos expression (D, E) and colocalization of c-Fos with PV (F, G) or SST (H, I) in cells of the layer II/III and layer V PL mPFC in NB and LB pre-adolescent offspring. Two-way ANOVA with bedding and treatment as between-subject factors were used to analyze these data. D, E, Cell density of c-Fos positive cells was significantly higher in fear-exposed animals compared with naive controls (treatment effect: p < 0.001) in both layers of the PL mPFC. F, Coexpression of c-Fos and PV in layer II/III of the PL mPFC was elevated by fear treatment (treatment effect: p < 0.001) and tended to be higher in LB-exposed animals compared with NB controls (bedding effect: p = 0.106). G, Coexpression of c-Fos and PV in layer V of the PL mPFC was elevated by both fear treatment and LB exposure (treatment effect: p < 0.01; bedding effect: p < 0.05). H, I, Cell density of c-Fos and SST in both layers of the PL mPFC was significantly higher in fear-exposed animals compared with naive controls (treatment effect: p < 0.001), but there was no significant effect of bedding in either layer. All values are represented as mean ± SEM. n = 5–6 per group. **p < 0.01. ***p < 0.001.

For the coexpression of c-Fos and PV, a two-way ANOVA revealed a significant main effect of treatment (F(1,19) = 19.65, p = 0.0003) and a trend toward a bedding effect (F(1,19) = 5.591, p = 0.1066) in layer II/II of PL mPFC, with no bedding × treatment interaction (F(1,19) = 2.349, p = 0.1418; Fig. 5F). In layer V, there were significant effects of treatment (F(1,19) = 8.405, p = 0.0092) and bedding condition (F(1,19) = 4.766, p = 0.0418), without an interaction between bedding and treatment (F(1,19) = 1.520, p = 2.2326; Fig. 5G). The c-Fos and PV coexpression was the highest in LB offspring exposed to fear compared with NB controls and naive animals. Coexpression of c-Fos and SST was significantly elevated by treatment (layer II/III: F(1,19) = 21.16, p = 0.0002; layer V: F(1,19) = 29.95, p < 0.0001) but was similar across bedding conditions (layer II/III: F(1,19) = 0.3088 p = 0.5849; layer V: F(1,19) = 0.5431, p = 0.4701). There was no bedding × treatment interaction in either layer (layer II/III: F(1,19) = 0.4152 p = 0.5271; layer V: F(1,19) = 0.0006, p = 0.9807; Fig. 5H,I).

Discussion

In this study, we examined the effects of ELS, in the form of the LB paradigm, on the fear-induced glutamate release in the PL region of the mPFC, layer-specific glutamate release probability in the mPFC and distribution of long-range glutamatergic inputs targeting the PL mPFC. In addition, we determined whether activation of local inhibitory interneurons during fear conditioning varied as a function of cortical layers in this region. Our novel findings are that LB exposure significantly enhanced fear-induced glutamatergic neurotransmission in the PL mPFC of adult males, while suppressing it in pre-adolescent males. Interestingly, these LB-induced alterations in glutamatergic transmission were not observed in female offspring of both ages. The reduced fear-induced glutamate response in pre-adolescent LB males was associated with higher activation of PV, but not SST interneurons, specifically in the layer V of the PL mPFC. At a time of maturation of PL mPFC inputs, we observed significant layer-specific effects of LB on presynaptic glutamatergic transmission, where LB exposure enhanced presynaptic glutamate release probability in the layer II/III of PL mPFC but decreased it in the layer V. Tracing the origins of long-range inputs targeting the PL mPFC, we found that LB exposure disrupted the laminar distribution of BLA and vHIP projections. These findings highlight a unique, layer-specific regulation of the corticolimbic circuit in pre-adolescent males after early stress exposure.

The mPFC receives numerous glutamatergic long-range projections from various cortical and subcortical regions, but the projections originating from the BLA and the vHIP are particularly implicated in cue-associative and contextual fear learning (Giustino and Maren, 2015). Glutamate concentrations in the PL mPFC measured by in vivo microdialysis integrate both long-range glutamatergic afferent inputs as well as local glutamatergic release. In adult males, LB exposure enhanced glutamate release in the PL mPFC during and after fear conditioning, without changes in the basal levels of glutamate concentrations, suggesting that the effects of early adversity might be observed preferentially when the corticolimbic system is challenged. Increased fear-induced PL mPFC glutamate concentrations and behavioral freezing responses in LB adult males are thought to result from hyperactivity of long-range inputs within the fear circuitry. In adults, optogenetic activation of BLA–PL mPFC projections induces freezing responses (Burgos-Robles et al., 2017), while inactivation of the vHIP afferents increases PL neuronal activity to fear expression (Sotres-Bayon et al., 2012). Following exposure to ELS, dendritic length and excitability of BLA pyramidal neurons is increased in adult (Eiland and Romeo, 2013; Rau et al., 2015), while dendritic arborization and synaptic plasticity in adult vHIP is reduced (Brunson et al., 2005; Molet et al., 2016), both phenomena potentially contribute to maintaining an overdrive on mPFC PL neurons and increased fear expression in adult LB male offspring.

In contrast to the adults, LB exposure tended to suppress the PL mPFC glutamate response to fear conditioning in pre-adolescent male rats. We hypothesize that this might result from LB-induced modifications in the maturation of prefrontal synaptic connections and/or from changes in the developmental trajectory of excitatory projections targeting this region. In normally reared animals, a peak in spine density in the PL mPFC is observed approximately at P30, together with a peak in the density of afferent projections from the BLA and the vHIP to the mPFC (Pattwell et al., 2016). Research in both human and rodents suggests that exposure to ELS accelerates the maturation of the corticolimbic circuit (Bath et al., 2016; Callaghan and Tottenham, 2016), potentially facilitating earlier synaptic pruning process in the mPFC of pre-adolescents. Our laboratory and others have previously demonstrated that the resting-state functional connectivity between the BLA and the mPFC is reduced in ELS-exposed pre-pubertal male offspring (Guadagno et al., 2018a; Honeycutt et al., 2020), possibly reflecting the advanced maturation of the BLA→mPFC reciprocal connections. Similarly, accelerated maturation of the hippocampus has also been reported in pre-weaning male mouse pups exposed to LB conditions (Bath et al., 2016). Thus, it is plausible that the precocious maturation of afferent projections to mPFC in pre-adolescent LB males would advance the synaptic remodeling and the reorganization of glutamatergic afferents to the mPFC. Consistent with this hypothesis, our retrograde tracing data revealed that LB exposure induces an adult-like laminar distribution of anterior BLA projections to the PL mPFC in pre-adolescent males, with an increased proportion of neurons projecting to layer V. Although we did not observe a reduction in afferent projections to the PL mPFC in LB compared with NB pre-adolescent male offspring, previous studies reported downregulation of synaptic connectivity and plasticity in this region in early adolescents (P35) subjected to neonatal maternal separation (Monroy et al., 2010; Chocyk et al., 2013; Majcher-Maslanka et al., 2018). In line with these findings, we documented significant changes in presynaptic release properties of glutamatergic terminals in the PL mPFC that point to LB-induced alterations in the activity of these terminals.

As both functional characteristics of mPFC pyramidal neurons and the organization of glutamatergic afferents in this region are layer specific (Song and Moyer, 2018; Anastasiades and Carter, 2021), we tested whether a layer-dependent decrease in presynaptic glutamate release in the PL mPFC could explain, at least in part, the reduced glutamate response to fear conditioning in pre-adolescent LB offspring. This was indeed the case as in layer V, where LB exposure decreased presynaptic glutamate release probability, but not in layer II/III, where LB-induced increase was observed. While the effect of ELS on PPR was drastically different between mPFC layers, this measure only cannot accurately predict overall glutamate release. The effect of ELS on glutamate responses to fear might also be dependent on layer-specific changes in distribution and activity of mPFC afferents. In pre-adolescent male rats, we found that LB exposure increased aBLA inputs to layer V of the PL mPFC, without affecting inputs to layer II/III or projections from the pBLA. For the vHIP, only NB but not LB offspring exhibited an adult-like layer patterning, suggesting that LB disrupted this normal development of laminar innervation. Although the pBLA and MDThal projections to the PL mPFC were more dense than those from the aBLA, there were no differences between bedding groups. Specific modalities and timing of ELS paradigms might differentially affect mPFC afferent development as Honeycutt et al. (2020) found that axonal arborization of BLA innervation in the mPFC of P28 male rats was not altered by maternal separation occurring between P2 and P20. While Honeycutt et al. employed anterograde tracing to assess axonal arborization of total BLA inputs, our study used retrograde tracing to quantify the number of PL mPFC-projecting neurons in anteroposterior BLA subregions and thus, might reflect different maturational processes. Together, these data suggest that the anterior BLA might be more sensitive to ELS in male offspring by increasing the density of neurons projecting to the mPFC, even though axonal arborization of these projections might not yet be significantly altered at this age.

In contrast to males, fear-induced glutamate release in the PL mPFC of adult and pre-adolescent females was not significantly altered by LB conditions. Sex-dependent effects of ELS on the corticolimbic system have been well documented, with a more pronounced effect on male compared with female offspring (Walker et al., 2017; Bath, 2020), although limited data are available on the consequences of ELS on the PL mPFC in female rats. Honeycutt et al. (2020) demonstrated that maternal separation enhanced BLA-derived axonal innervation to the PL mPFC in pre- and late-adolescent females, but not in males. The increased projections and stronger resting-state functional connectivity between BLA and mPFC in the ELS-exposed adolescent females might compensate for some of the detrimental effects of ELS observed in young males. In adults, estrogen may confer neuroprotective effects (Luine and Frankfurt, 2013; Page and Coutellier, 2019) against ELS-induced increases in glutamatergic transmission that we observed in adult males. The lack of a bedding effect on fear-induced glutamate secretion and freezing behavior in pre-adolescent females suggest that mechanisms conferring “resilience” to adverse conditions emerge prior to the increase in estrogen secretion at puberty. The precise nature and timing of these mechanisms needs further exploration.

Pyramidal neurons in the mPFC are heavily regulated by several types of interneurons, which can themselves be the target of long-range glutamatergic projections (Yang et al., 2021; Nagy-Pal et al., 2023). Notably, PV and SST interneurons regulate glutamatergic afferent projections (Urban-Ciecko and Barth, 2016; Manz et al., 2019) and thus actively participate in the complex regulation of mPFC-mediated behaviors. Here we examined whether potential changes in inhibitory tone in the PL mPFC of LB offspring might associate with changes in glutamate concentrations during fear conditioning in pre-adolescent rats. Our results show that LB exposure increased the activation of PV, but not SST interneurons during fear conditioning, without affecting the density of these interneurons. Similarly to our results, several studies have shown that prefrontal PV interneurons might be hyperactive after chronic stress exposure in adult animals (Page and Coutellier, 2019; Nawreen et al., 2024). Compared with SST interneurons, the fast-spiking PV cells require high energy supplied by a high density of mitochondria, rendering this class of interneurons more vulnerable to oxidative stress in adulthood (Ruden et al., 2021) and potential disruptions caused by early stress. Interestingly, we did not observe changes in PV cell density in pre-adolescent offspring exposed to LB conditions. Notably, the LB-induced increased activation of PV interneurons was significant in layer V, but not in layer II/III of the PL mPFC. It is possible that the layer-specific enhancement of GABAergic transmission in layer V might contribute to the reduced presynaptic glutamatergic transmission that we documented with our field potential recordings.

Increased intra- and extra-cortical excitatory inputs to mPFC PV interneurons have also been documented in another early stress model of post-weaning social isolation (Biro et al., 2023). In our study, LB exposure enhanced activation of PV interneurons after fear conditioning in the layer V of PL mPFC. We speculate that the LB-induced increase in the density of aBLA neurons projecting to layer V of the PL area might also contribute to this enhanced PV interneuron activation.

One limitation of our electrophysiological data is that field potentials were recorded without pharmacological blockade of GABAa receptors. As a result, the layer-specific changes we observed in PPRs may involve changes in local inhibitory tone in addition to glutamate release. ELS has been shown to modify the function of interneurons, and our data show increased fear-induced activation of PV interneurons in layer V of the mPFC. This layer-specific enhancement of inhibitory activity might influence PPR via GABAaR and/or GABAbR mediated inhibition. Additional studies are required to identify the precise role of each receptor in this process. Together, these should allow to determine more precisely to what extent the ELS-induced changes in PPR are driven by intrinsic alterations in excitatory terminals versus local inhibitory modulation.

In conclusion, our results demonstrate that exposure to LB conditions leads to age- and sex-dependent effects on the fear-induced glutamate response in the PL mPFC. Unlike the increased glutamatergic transmission observed in adult LB males, glutamate release during fear conditioning tended to be diminished in pre-adolescent LB males. Our attempt to understand some of the mechanisms underlying these in vivo functional changes in pre-adolescent males revealed that LB has differential effects on PL mPFC superficial and deep layers, with respect to input density from BLA and vHIP regions, glutamate release probability, and activation of PV interneurons. Thus, in this specific pre-adolescent period, LB exerts already complex effects on the structure and connectivity of the corticolimbic circuit. Additional studies at different ages and in both sexes are required to map out more precisely the various maturational processes that are affected by ELS. Although in our study glutamate responses were not modified by LB exposure in females, examining pathways that allow resilience in females is likely to enrich our understanding of the complex regulation and potential differential maturation pace of the corticolimbic circuitry in both sexes.

Footnotes

  • The authors declare no competing financial interests.

  • We thank Luc Moquin and Dr Alain Gratton (Douglas Institute Research Center) for their help with the microdialysis experiments. The present study used the services of the Molecular and Cellular Microscopy Platform at the Douglas Institute Research Center.

  • This work was supported by a grant from the Canadian Institutes for Health Research to C-D.W. (grant PJT#162376) and to T.P.W. (grant PJT#179866).

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

References

  1. ↵
    1. Ährlund-Richter S,
    2. Xuan Y,
    3. van Lunteren JA,
    4. Kim H,
    5. Ortiz C,
    6. Pollak D,
    7. Meletis K,
    8. Carlén M
    (2019) A whole-brain atlas of monosynaptic input targeting four different cell types in the medial prefrontal cortex of the mouse. Nat Neurosci 22:657–668. https://doi.org/10.1038/s41593-019-0354-y
    OpenUrlCrossRefPubMed
  2. ↵
    1. Anastasiades PG,
    2. Carter AG
    (2021) Circuit organization of the rodent medial prefrontal cortex. Trends Neurosci 44:550–563. https://doi.org/10.1016/j.tins.2021.03.006
    OpenUrlCrossRefPubMed
  3. ↵
    1. Arp JM,
    2. Ter Horst JP,
    3. Loi M,
    4. den Blaauwen J,
    5. Bangert E,
    6. Fernández G,
    7. Joëls M,
    8. Oitzl MS,
    9. Krugers HJ, et al.
    (2016) Blocking glucocorticoid receptors at adolescent age prevents enhanced freezing between repeated cue-exposures after conditioned fear in adult mice raised under chronic early life stress. Neurobiol Learn Mem 133:30–38. https://doi.org/10.1016/j.nlm.2016.05.009
    OpenUrlCrossRefPubMed
  4. ↵
    1. Bath KG
    (2020) Synthesizing views to understand sex differences in response to early life adversity. Trends Neurosci 43:300–310. https://doi.org/10.1016/j.tins.2020.02.004
    OpenUrlCrossRefPubMed
  5. ↵
    1. Bath KG,
    2. Manzano-Nieves G,
    3. Goodwill H
    (2016) Early life stress accelerates behavioral and neural maturation of the hippocampus in male mice. Horm Behav 82:64–71. https://doi.org/10.1016/j.yhbeh.2016.04.010
    OpenUrlCrossRefPubMed
  6. ↵
    1. Baudin A,
    2. Blot K,
    3. Verney C,
    4. Estevez L,
    5. Santamaria J,
    6. Gressens P,
    7. Giros B,
    8. Otani S,
    9. Dauge V,
    10. Naudon L
    (2012) Maternal deprivation induces deficits in temporal memory and cognitive flexibility and exaggerates synaptic plasticity in the rat medial prefrontal cortex. Neurobiol Learn Mem 98:207–214. https://doi.org/10.1016/j.nlm.2012.08.004
    OpenUrlCrossRefPubMed
  7. ↵
    1. Biro L,
    2. Miskolczi C,
    3. Szebik H,
    4. Bruzsik B,
    5. Varga ZK,
    6. Szente L,
    7. Toth M,
    8. Halasz J,
    9. Mikics E
    (2023) Post-weaning social isolation in male mice leads to abnormal aggression and disrupted network organization in the prefrontal cortex: contribution of parvalbumin interneurons with or without perineuronal nets. Neurobiol Stress 25:100546. https://doi.org/10.1016/j.ynstr.2023.100546
    OpenUrlPubMed
  8. ↵
    1. Bouwmeester H,
    2. Wolterink G,
    3. van Ree JM
    (2002) Neonatal development of projections from the basolateral amygdala to prefrontal, striatal, and thalamic structures in the rat. J Comp Neurol 442:239–249. https://doi.org/10.1002/cne.10084
    OpenUrlCrossRefPubMed
  9. ↵
    1. Brunson KL,
    2. Kramar E,
    3. Lin B,
    4. Chen Y,
    5. Colgin LL,
    6. Yanagihara TK,
    7. Lynch G,
    8. Baram TZ
    (2005) Mechanisms of late-onset cognitive decline after early-life stress. J Neurosci 25:9328–9338. https://doi.org/10.1523/JNEUROSCI.2281-05.2005
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Burgos-Robles A,
    2. Vidal-Gonzalez I,
    3. Quirk GJ
    (2009) Sustained conditioned responses in prelimbic prefrontal neurons are correlated with fear expression and extinction failure. J Neurosci 29:8474–8482. https://doi.org/10.1523/JNEUROSCI.0378-09.2009
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Burgos-Robles A, et al.
    (2017) Amygdala inputs to prefrontal cortex guide behavior amid conflicting cues of reward and punishment. Nat Neurosci 20:824–835. https://doi.org/10.1038/nn.4553
    OpenUrlCrossRefPubMed
  12. ↵
    1. Callaghan BL,
    2. Tottenham N
    (2016) The stress acceleration hypothesis: effects of early-life adversity on emotion circuits and behavior. Curr Opin Behav Sci 7:76–81. https://doi.org/10.1016/j.cobeha.2015.11.018
    OpenUrlCrossRefPubMed
  13. ↵
    1. Chocyk A,
    2. Bobula B,
    3. Dudys D,
    4. Przyborowska A,
    5. Majcher-Maslanka I,
    6. Hess G,
    7. Wedzony K
    (2013) Early-life stress affects the structural and functional plasticity of the medial prefrontal cortex in adolescent rats. Eur J Neurosci 38:2089–2107. https://doi.org/10.1111/ejn.12208
    OpenUrlCrossRefPubMed
  14. ↵
    1. Cochran WG,
    2. Cox GM
    (1957) Experimental designs, Ed 2. New York: John Wiley & Sons.
  15. ↵
    1. Corcoran KA,
    2. Quirk GJ
    (2007) Activity in prelimbic cortex is necessary for the expression of learned, but not innate, fears. J Neurosci 27:840–844. https://doi.org/10.1523/JNEUROSCI.5327-06.2007
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Courtin J,
    2. Dejean C,
    3. Herry C
    (2014) Prefrontal parvalbumin-expressing interneurons control fear behavior. Med Sci (Paris) 30:943–945. https://doi.org/10.1051/medsci/20143011004
    OpenUrlPubMed
  17. ↵
    1. Cummings KA,
    2. Clem RL
    (2020) Prefrontal somatostatin interneurons encode fear memory. Nat Neurosci 23:61–74. https://doi.org/10.1038/s41593-019-0552-7
    OpenUrlCrossRefPubMed
  18. ↵
    1. Cunningham MG,
    2. Bhattacharyya S,
    3. Benes FM
    (2002) Amygdalo-cortical sprouting continues into early adulthood: implications for the development of normal and abnormal function during adolescence. J Comp Neurol 453:116–130. https://doi.org/10.1002/cne.10376
    OpenUrlCrossRefPubMed
  19. ↵
    1. del Rio JA,
    2. de Lecea L,
    3. Ferrer I,
    4. Soriano E
    (1994) The development of parvalbumin-immunoreactivity in the neocortex of the mouse. Brain Res Dev Brain Res 81:247–259. https://doi.org/10.1016/0165-3806(94)90311-5
    OpenUrlCrossRefPubMed
  20. ↵
    1. Drzewiecki CM,
    2. Juraska JM
    (2020) The structural reorganization of the prefrontal cortex during adolescence as a framework for vulnerability to the environment. Pharmacol Biochem Behav 199:173044. https://doi.org/10.1016/j.pbb.2020.173044
    OpenUrlCrossRefPubMed
  21. ↵
    1. Eiland L,
    2. Romeo RD
    (2013) Stress and the developing adolescent brain. Neuroscience 249:162–171. https://doi.org/10.1016/j.neuroscience.2012.10.048
    OpenUrlCrossRefPubMed
  22. ↵
    1. Giustino TF,
    2. Maren S
    (2015) The role of the medial prefrontal cortex in the conditioning and extinction of fear. Front Behav Neurosci 9:298. https://doi.org/10.3389/fnbeh.2015.00298
    OpenUrlCrossRefPubMed
  23. ↵
    1. Grassi-Oliveira R,
    2. Honeycutt JA,
    3. Holland FH,
    4. Ganguly P,
    5. Brenhouse HC
    (2016) Cognitive impairment effects of early life stress in adolescents can be predicted with early biomarkers: impacts of sex, experience, and cytokines. Psychoneuroendocrinology 71:19–30. https://doi.org/10.1016/j.psyneuen.2016.04.016
    OpenUrlCrossRefPubMed
  24. ↵
    1. Guadagno A,
    2. Kang MS,
    3. Devenyi GA,
    4. Mathieu AP,
    5. Rosa-Neto P,
    6. Chakrawarty M,
    7. Walker CD
    (2018a) Reduced resting-state functional connectivity of the basolateral amygdala to the medial prefrontal cortex in preweaning rats exposed to chronic early-life stress. Brain Struct Funct 223:3711–3729. https://doi.org/10.1007/s00429-018-1720-3
    OpenUrlCrossRefPubMed
  25. ↵
    1. Guadagno A,
    2. Wong TP,
    3. Walker CD
    (2018b) Morphological and functional changes in the preweaning basolateral amygdala induced by early chronic stress associate with anxiety and fear behavior in adult male, but not female rats. Prog Neuropsychopharmacol Biol Psychiatry 81:25–37. https://doi.org/10.1016/j.pnpbp.2017.09.025
    OpenUrlCrossRefPubMed
  26. ↵
    1. Guadagno A,
    2. Verlezza S,
    3. Long H,
    4. Wong TP,
    5. Walker CD
    (2020) It is all in the right amygdala: increased synaptic plasticity and perineuronal nets in male, but not female, juvenile rat pups after exposure to early-life stress. J Neurosci 40:8276–8291. https://doi.org/10.1523/JNEUROSCI.1029-20.2020
    OpenUrlAbstract/FREE Full Text
  27. ↵
    1. Holland FH,
    2. Ganguly P,
    3. Potter DN,
    4. Chartoff EH,
    5. Brenhouse HC
    (2014) Early life stress disrupts social behavior and prefrontal cortex parvalbumin interneurons at an earlier time-point in females than in males. Neurosci Lett 566:131–136. https://doi.org/10.1016/j.neulet.2014.02.023
    OpenUrlCrossRefPubMed
  28. ↵
    1. Honeycutt JA,
    2. Demaestri C,
    3. Peterzell S,
    4. Silveri MM,
    5. Cai X,
    6. Kulkarni P,
    7. Cunningham MG,
    8. Ferris CF,
    9. Brenhouse HC
    (2020) Altered corticolimbic connectivity reveals sex-specific adolescent outcomes in a rat model of early life adversity. Elife 9:e52651. https://doi.org/10.7554/eLife.52651
    OpenUrlCrossRefPubMed
  29. ↵
    1. Junod A,
    2. Opendak M,
    3. LeDoux JE,
    4. Sullivan RM
    (2019) Development of threat expression following infant maltreatment: infant and adult enhancement but adolescent attenuation. Front Behav Neurosci 13:130. https://doi.org/10.3389/fnbeh.2019.00130
    OpenUrlPubMed
  30. ↵
    1. Little JP,
    2. Carter AG
    (2013) Synaptic mechanisms underlying strong reciprocal connectivity between the medial prefrontal cortex and basolateral amygdala. J Neurosci 33:15333–15342. https://doi.org/10.1523/JNEUROSCI.2385-13.2013
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Liu X,
    2. Carter AG
    (2018) Ventral hippocampal inputs preferentially drive corticocortical neurons in the infralimbic prefrontal cortex. J Neurosci 38:7351–7363. https://doi.org/10.1523/JNEUROSCI.0378-18.2018
    OpenUrlAbstract/FREE Full Text
  32. ↵
    1. Luczynski P,
    2. Moquin L,
    3. Gratton A
    (2015) Chronic stress alters the dendritic morphology of callosal neurons and the acute glutamate stress response in the rat medial prefrontal cortex. Stress 18:654–667. https://doi.org/10.3109/10253890.2015.1073256
    OpenUrlCrossRefPubMed
  33. ↵
    1. Luine V,
    2. Frankfurt M
    (2013) Interactions between estradiol, BDNF and dendritic spines in promoting memory. Neuroscience 239:34–45. https://doi.org/10.1016/j.neuroscience.2012.10.019
    OpenUrlCrossRefPubMed
  34. ↵
    1. Majcher-Maslanka I,
    2. Solarz A,
    3. Wedzony K,
    4. Chocyk A
    (2018) Previous early-life stress modifies acute corticosterone-induced synaptic plasticity in the medial prefrontal cortex of adolescent rats. Neuroscience 379:316–333. https://doi.org/10.1016/j.neuroscience.2018.03.038
    OpenUrlPubMed
  35. ↵
    1. Malter Cohen M,
    2. Jing D,
    3. Yang RR,
    4. Tottenham N,
    5. Lee FS,
    6. Casey BJ
    (2013) Early-life stress has persistent effects on amygdala function and development in mice and humans. Proc Natl Acad Sci U S A 110:18274–18278. https://doi.org/10.1073/pnas.1310163110
    OpenUrlAbstract/FREE Full Text
  36. ↵
    1. Manz KM,
    2. Baxley AG,
    3. Zurawski Z,
    4. Hamm HE,
    5. Grueter BA
    (2019) Heterosynaptic GABA(B) receptor function within feedforward microcircuits gates glutamatergic transmission in the nucleus accumbens core. J Neurosci 39:9277–9293. https://doi.org/10.1523/JNEUROSCI.1395-19.2019
    OpenUrlAbstract/FREE Full Text
  37. ↵
    1. Molet J,
    2. Maras PM,
    3. Avishai-Eliner S,
    4. Baram TZ
    (2014) Naturalistic rodent models of chronic early-life stress. Dev Psychobiol 56:1675–1688. https://doi.org/10.1002/dev.21230
    OpenUrlCrossRefPubMed
  38. ↵
    1. Molet J,
    2. Maras PM,
    3. Kinney-Lang E,
    4. Harris NG,
    5. Rashid F,
    6. Ivy AS,
    7. Solodkin A,
    8. Obenaus A,
    9. Baram TZ
    (2016) MRI uncovers disrupted hippocampal microstructure that underlies memory impairments after early-life adversity. Hippocampus 26:1618–1632. https://doi.org/10.1002/hipo.22661
    OpenUrlCrossRefPubMed
  39. ↵
    1. Monroy E,
    2. Hernandez-Torres E,
    3. Flores G
    (2010) Maternal separation disrupts dendritic morphology of neurons in prefrontal cortex, hippocampus, and nucleus accumbens in male rat offspring. J Chem Neuroanat 40:93–101. https://doi.org/10.1016/j.jchemneu.2010.05.005
    OpenUrlCrossRefPubMed
  40. ↵
    1. Mychasiuk R,
    2. Gibb R,
    3. Kolb B
    (2012) Prenatal stress alters dendritic morphology and synaptic connectivity in the prefrontal cortex and hippocampus of developing offspring. Synapse 66:308–314. https://doi.org/10.1002/syn.21512
    OpenUrlCrossRefPubMed
  41. ↵
    1. Nagy-Pal P,
    2. Veres JM,
    3. Fekete Z,
    4. Karlocai MR,
    5. Weisz F,
    6. Barabas B,
    7. Reeb Z,
    8. Hajos N
    (2023) Structural organization of perisomatic inhibition in the mouse medial prefrontal cortex. J Neurosci 43:6972–6987. https://doi.org/10.1523/JNEUROSCI.0432-23.2023
    OpenUrlAbstract/FREE Full Text
  42. ↵
    1. Nawreen N,
    2. Oshima K,
    3. Chambers J,
    4. Smail M,
    5. Herman JP
    (2024) Inhibition of prefrontal cortex parvalbumin interneurons mitigates behavioral and physiological sequelae of chronic stress in male mice. Stress 27:2361238. https://doi.org/10.1080/10253890.2024.2361238
    OpenUrlCrossRefPubMed
  43. ↵
    1. Page CE,
    2. Coutellier L
    (2019) Prefrontal excitatory/inhibitory balance in stress and emotional disorders: evidence for over-inhibition. Neurosci Biobehav Rev 105:39–51. https://doi.org/10.1016/j.neubiorev.2019.07.024
    OpenUrlCrossRefPubMed
  44. ↵
    1. Pan NC,
    2. Fang A,
    3. Shen C,
    4. Sun L,
    5. Wu Q,
    6. Wang X
    (2019) Early excitatory activity-dependent maturation of somatostatin interneurons in cortical layer 2/3 of mice. Cereb Cortex 29:4107–4118. https://doi.org/10.1093/cercor/bhy293
    OpenUrlCrossRefPubMed
  45. ↵
    1. Pattwell SS, et al.
    (2016) Dynamic changes in neural circuitry during adolescence are associated with persistent attenuation of fear memories. Nat Commun 7:11475. https://doi.org/10.1038/ncomms11475
    OpenUrlCrossRefPubMed
  46. ↵
    1. Paxinos G,
    2. Watson C
    (2006) The rat brain in stereotaxic coordinates. New York, NY: Elsevier.
  47. ↵
    1. Raineki C,
    2. Cortes MR,
    3. Belnoue L,
    4. Sullivan RM
    (2012) Effects of early-life abuse differ across development: infant social behavior deficits are followed by adolescent depressive-like behaviors mediated by the amygdala. J Neurosci 32:7758–7765. https://doi.org/10.1523/JNEUROSCI.5843-11.2012
    OpenUrlAbstract/FREE Full Text
  48. ↵
    1. Rau AR,
    2. Chappell AM,
    3. Butler TR,
    4. Ariwodola OJ,
    5. Weiner JL
    (2015) Increased basolateral amygdala pyramidal cell excitability may contribute to the anxiogenic phenotype induced by chronic early-life stress. J Neurosci 35:9730–9740. https://doi.org/10.1523/JNEUROSCI.0384-15.2015
    OpenUrlAbstract/FREE Full Text
  49. ↵
    1. Ruden JB,
    2. Dugan LL,
    3. Konradi C
    (2021) Parvalbumin interneuron vulnerability and brain disorders. Neuropsychopharmacology 46:279–287. https://doi.org/10.1038/s41386-020-0778-9
    OpenUrlCrossRefPubMed
  50. ↵
    1. Rudy B,
    2. Fishell G,
    3. Lee S,
    4. Hjerling-Leffler J
    (2011) Three groups of interneurons account for nearly 100% of neocortical GABAergic neurons. Dev Neurobiol 71:45–61. https://doi.org/10.1002/dneu.20853
    OpenUrlCrossRefPubMed
  51. ↵
    1. Song C,
    2. Moyer JR Jr.
    . (2018) Layer- and subregion-specific differences in the neurophysiological properties of rat medial prefrontal cortex pyramidal neurons. J Neurophysiol 119:177–191. https://doi.org/10.1152/jn.00146.2017
    OpenUrlCrossRefPubMed
  52. ↵
    1. Sotres-Bayon F,
    2. Sierra-Mercado D,
    3. Pardilla-Delgado E,
    4. Quirk GJ
    (2012) Gating of fear in prelimbic cortex by hippocampal and amygdala inputs. Neuron 76:804–812. https://doi.org/10.1016/j.neuron.2012.09.028
    OpenUrlCrossRefPubMed
  53. ↵
    1. Stevenson CW,
    2. Spicer CH,
    3. Mason R,
    4. Marsden CA
    (2009) Early life programming of fear conditioning and extinction in adult male rats. Behav Brain Res 205:505–510. https://doi.org/10.1016/j.bbr.2009.08.005
    OpenUrlCrossRefPubMed
  54. ↵
    1. Teicher MH,
    2. Samson JA,
    3. Anderson CM,
    4. Ohashi K
    (2016) The effects of childhood maltreatment on brain structure, function and connectivity. Nat Rev Neurosci 17:652–666. https://doi.org/10.1038/nrn.2016.111
    OpenUrlCrossRefPubMed
  55. ↵
    1. Ting JT,
    2. Daigle TL,
    3. Chen Q,
    4. Feng G
    (2014) Acute brain slice methods for adult and aging animals: application of targeted patch clamp analysis and optogenetics. Methods Mol Biol 1183:221–242. https://doi.org/10.1007/978-1-4939-1096-0_14
    OpenUrlCrossRefPubMed
  56. ↵
    1. Tottenham N
    (2020) Early adversity and the neotenous human brain. Biol Psychiatry 87:350–358. https://doi.org/10.1016/j.biopsych.2019.06.018
    OpenUrlCrossRefPubMed
  57. ↵
    1. Tovote P,
    2. Fadok JP,
    3. Luthi A
    (2015) Neuronal circuits for fear and anxiety. Nat Rev Neurosci 16:317–331. https://doi.org/10.1038/nrn3945
    OpenUrlCrossRefPubMed
  58. ↵
    1. Tremblay R,
    2. Lee S,
    3. Rudy B
    (2016) GABAergic interneurons in the neocortex: from cellular properties to circuits. Neuron 91:260–292. https://doi.org/10.1016/j.neuron.2016.06.033
    OpenUrlCrossRefPubMed
  59. ↵
    1. Urban-Ciecko J,
    2. Barth AL
    (2016) Somatostatin-expressing neurons in cortical networks. Nat Rev Neurosci 17:401–409. https://doi.org/10.1038/nrn.2016.53
    OpenUrlCrossRefPubMed
  60. ↵
    1. VanTieghem MR,
    2. Tottenham N
    (2018) Neurobiological programming of early life stress: functional development of amygdala-prefrontal circuitry and vulnerability for stress-related psychopathology. Curr Top Behav Neurosci 38:117–136. https://doi.org/10.1007/7854_2016_42
    OpenUrlPubMed
  61. ↵
    1. Venkataraman A,
    2. Dias BG
    (2023) Expanding the canon: an inclusive neurobiology of thalamic and subthalamic fear circuits. Neuropharmacology 226:109380. https://doi.org/10.1016/j.neuropharm.2022.109380
    OpenUrlCrossRefPubMed
  62. ↵
    1. Vidal-Gonzalez I,
    2. Vidal-Gonzalez B,
    3. Rauch SL,
    4. Quirk GJ
    (2006) Microstimulation reveals opposing influences of prelimbic and infralimbic cortex on the expression of conditioned fear. Learn Mem 13:728–733. https://doi.org/10.1101/lm.306106
    OpenUrlAbstract/FREE Full Text
  63. ↵
    1. Walker CD, et al.
    (2017) Chronic early life stress induced by limited bedding and nesting (LBN) material in rodents: critical considerations of methodology, outcomes and translational potential. Stress 20:421–448. https://doi.org/10.1080/10253890.2017.1343296
    OpenUrlCrossRefPubMed
  64. ↵
    1. Yang SS,
    2. Mack NR,
    3. Shu Y,
    4. Gao WJ
    (2021) Prefrontal GABAergic interneurons gate long-range afferents to regulate prefrontal cortex-associated complex behaviors. Front Neural Circuits 15:716408. https://doi.org/10.3389/fncir.2021.716408
    OpenUrlCrossRefPubMed

Synthesis

Reviewing Editor: Michael Michaelides, NIDA-NIH

Decisions are customarily a result of the Reviewing Editor and the peer reviewers coming together and discussing their recommendations until a consensus is reached. When revisions are invited, a fact-based synthesis statement explaining their decision and outlining what is needed to prepare a revision will be listed below. The following reviewer(s) agreed to reveal their identity: Heather Brenhouse, Max Joffe. Note: If this manuscript was transferred from JNeurosci and a decision was made to accept the manuscript without peer review, a synthesis may not be available.

Reviewer 1

The authors have responded appropriately to requested revisions, and the revised paper is sufficiently improved

Reviewer 2

I reviewed this manuscript previously for the Journal of Neuroscience. The authors provided some changes to the text to address concerns raised in the previous review, and performed new analysis to address specificity of some IHC findings across layers. Despite these improvements, I continue to have major concerns regarding the interpretation of the electrophysiological data. The field potential recordings cannot be interpreted as exclusively excitatory events, as GABAA receptors were not blocked. Monosynaptic inhibitory transmission also occurs at short latencies; thus changes in GABA signaling can certainly contribute to the effects observed here. GABA signaling may also be involved in the reported effects of the GABAB antagonist. Otherwise, it is also very hard to understand why the GABAB antagonist would have opposite effects in regulating PPR in layer 2/3 versus 5 of the LB animals. Finally, while the authors have removed a representative trace that showed a clear inhibitory potential from this manuscript, that does not change the underlying fact the these currents did exist. And even if a fully positive-going potential is not detected, there are still underlying GABAA IPSPS that are contributing to the mixed field potential response that occurs with the current methods

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Layer-Specific Glutamatergic Inputs and Parvalbumin Interneurons Modulate Early Life Stress-Induced Alterations in Prefrontal Glutamate Release during Fear Conditioning in Pre-adolescent Rats
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Layer-Specific Glutamatergic Inputs and Parvalbumin Interneurons Modulate Early Life Stress-Induced Alterations in Prefrontal Glutamate Release during Fear Conditioning in Pre-adolescent Rats
Jiamin Song, Muzammil Younus, Hong Long, Tak Pan Wong, Claire-Dominique Walker
eNeuro 22 October 2025, 12 (11) ENEURO.0073-25.2025; DOI: 10.1523/ENEURO.0073-25.2025

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Layer-Specific Glutamatergic Inputs and Parvalbumin Interneurons Modulate Early Life Stress-Induced Alterations in Prefrontal Glutamate Release during Fear Conditioning in Pre-adolescent Rats
Jiamin Song, Muzammil Younus, Hong Long, Tak Pan Wong, Claire-Dominique Walker
eNeuro 22 October 2025, 12 (11) ENEURO.0073-25.2025; DOI: 10.1523/ENEURO.0073-25.2025
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Keywords

  • early life stress
  • fear conditioning
  • glutamate
  • limited bedding
  • medial prefrontal cortex
  • pre-adolescent rats
  • PV interneurons

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