Abstract
Background:
Major depressive disorder is characterized as persistent low mood. A chronically stressful life in genetically susceptible individuals is presumably the major etiology that leads to dysfunctions of monoamine and hypothalamus-pituitary-adrenal axis. These pathogenic factors cause neuron atrophy in the limbic system for major depressive disorder. Cell-specific pathophysiology is unclear, so we investigated prelimbic cortical GABAergic neurons and their interaction with glutamatergic neurons in depression-like mice.
Methods:
Mice were treated with chronic unpredictable mild stress for 3 weeks until they expressed depression-like behaviors confirmed by sucrose preference, Y-maze, and forced swimming tests. The structures and functions of GABAergic and glutamatergic units in prelimbic cortices were studied by cell imaging and electrophysiology in chronic unpredictable mild stress-induced depression mice vs controls.
Results:
In depression-like mice, prelimbic cortical GABAergic neurons show incoordination among the subcellular compartments, such as decreased excitability and synaptic outputs as well as increased reception from excitatory inputs. GABAergic synapses on glutamatergic cells demonstrate decreased presynaptic innervation and increased postsynaptic responsiveness.
Conclusions:
Chronic unpredictable mild stress-induced incoordination in prelimbic cortical GABAergic and glutamatergic neurons dysregulates their target neurons, which may be the pathological basis for depressive mood. The rebalance of compatibility among subcellular compartments would be an ideal strategy to treat neural disorders.
Keywords: depression, GABA, glutamate, neuron, prefrontal cortex, stress
Introduction
Major depressive disorder is characterized as anhedonia, low self-esteem, and suicide. Its etiology is thought to be stressful environments plus genetic susceptibility (Camp and Cannon-Albright, 2005; Jabbi et al., 2008; Lohoff, 2010; Keers and Uher, 2012; Hamilton et al., 2013; Klengel and Binder, 2013; Moylan et al., 2013; Wilde et al., 2013). The sustained stress to genetically vulnerable individuals leads to dysfunctions of monoamine, brain-derived neurotrophic factor, and hypothalamus-pituitary-adrenal axis (Elhwuegi, 2004; Brunoni et al., 2008; Rohleder et al., 2010; Strekalova et al., 2011; Berton et al., 2012; Guo and Lu, 2014), which induce neuron atrophy in brain reward circuits such as the prefrontal cortex, amygdala, and hippocampus in depressive patients and stress animals (Bennett et al., 2008; Elizalde et al., 2008; Pittenger and Duman, 2008; C. H. Duman, 2010; Banasr et al., 2011; Lin and Sibille, 2013; Sandi and Haller, 2015). The brain includes the excitatory and inhibitory neurons. Their physiological coordination is critical for neuron encoding to manage well-organized cognitions (Freund, 2003; Buzsaki et al., 2004; Ascoli et al., 2008). Cell-specific pathophysiology in major depressive disorder remains unclear (R. S. Duman and Aghajanian, 2012; Thompson et al., 2015).
In terms of the role of GABAergic neurons in major depressive disorders, immunocytochemistry in postmortem brain tissues from major depression subjects demonstrates the decrease of neuronal density in the prefrontal cortices (Sanacora et al., 2004; Rajkowska et al., 2007; Karolewicz et al., 2010; Maciag et al., 2010; Khundakar et al., 2011). Studies by imaging, biochemistry, and gene analyses from the depression subjects indicate low GABAergic tone in the brain (Oruc et al., 1997; Torrey et al., 2005; Bajbouj et al., 2006; Hettema et al., 2006; Hasler et al., 2007; Price et al., 2009; Levinson et al., 2010; Croarkin et al., 2011; Plante et al., 2012; Veeraiah et al., 2014), despite argument (Godlewska et al., 2015). Therefore, the enhancers of GABAA receptors are used as antidepressants, but there is controversy regarding therapeutic outcome (Petty et al., 1995; Smith et al., 2002; Kendell et al., 2005; Morishita, 2009; Luscher et al., 2011; Mohler, 2012). As for the inconsistences, we hypothesize that there are incompatible changes in the subcompartments of GABAergic neurons and synapses, such as presynaptic GABA release vs postsynaptic GABA receptors and/or the outputs of GABAergic neurons vs their reception from excitatory inputs. We aimed to examine depression-related pathology in the subcellular compartment of GABAergic neurons and their interaction with glutamatergic neurons in the medial prefrontal cortex. The elucidation of these issues provides new ideas for developing antidepressants in the manner of type-specific neurons and their subcellular compartments.
Pathophysiological changes in the prelimbic cortical GABAergic and glutamatergic neurons were examined in the mice expressing depression-like behavior induced by chronic unpredictable mild stress (CUMS). Cortical GABAergic neurons and glutamatergic neurons in the mice were genetically labeled by green fluorescent protein (GFP) and yellow fluorescent protein (YFP), respectively (G. Zhang et al., 2013). With their identification, we were able to study mutual innervation between GABAergic and glutamatergic neurons by confocal cell imaging as well as their spike encoding and synapse dynamics by whole-cell recordings. With these analyses, we expect to reveal cell-specific pathology of major depressive disorders, especially subcellular incoordination.
METHODS AND MATERIALS
All experiments were done in accordance with the guidelines and regulations by the Administration Office of Laboratory Animals at Beijing, China. All experimental protocols were approved by the Institutional Animal Care Unit Committee in Administration Office of Laboratory Animals at Beijing, China (B10831).
The Mouse Model of Major Depressive Disorder Induced by CUMS
To examine neuron-specific pathophysiology associated with major depressive disorders, we applied C57 Thy1-YFP/GAD-GFP mice whose GABAergic neurons and glutamatergic neurons were genetically labeled by GFP and YFP, respectively (G. Zhang et al., 2013). The male mice were used starting at postnatal day 21. In week 1 for their adaptation to the experiments, their body weight, locomotion, sucrose preference, and Y-maze test were measured to collect self-control data. The mice showing consistent values in these measurements were separated into 2 groups, CUMS and control, to reduce the variations among them. The control mice lived without the following stresses.
Based on depression risk factors, such as weaknesses in cognitive function, emotional regulation, social interaction skill, circadian and stress response (Southwick and Charney, 2012), we used chronic stress to produce depression-like mice in the following manner. The mice lived in a stressful environment, made efforts to challenge these conditions, and experienced defeat outcomes, which then drove them to feel cognitive and emotional inabilities and in turn to have anhedonia and low self-esteem. The procedures for the CUMS mice include their adaptation, the CUMS, and the behavioral tests (Figure 1A).
The stressful environments included social isolation, tilted cage, empty cage, damp sawdust cage, restraint space, white noise, strobe light, and circadian disturbance (Willner, 2005; Schweizer et al., 2009; Strekalova et al., 2011; Berton et al., 2012; Hill et al., 2012). Except for the social isolation, these conditions were randomly selected to treat the mice in the manner of their separations or combinations every day. These treatments were applied about 1 to 14 hours in duration and at 1- to 12-hour intervals (Table 1). The durations and intervals were unpredictable to the mice. This CUMS was sustained for 3 weeks until some of the mice expressed anhedonia and low self-esteem. We did not use extreme stress in a single pattern, such as electrical shock, social defeat, and tail clamp, since these protocols might induce the outcome similar to posttraumatic stress disorder.
Table 1.
Mild Stimulations | Definition | Durations | Intervals | Intensity | ||||
---|---|---|---|---|---|---|---|---|
Social isolation | Living in a cage alone | 3 weeks | ||||||
Empty cage | Staying in a cage without sawdust | 7–14 hours per time | 1–2 days | |||||
Tilted cage | Staying in 45°-slanted cage with 50ml water in its low end | 6–12 hours per time | 2–3 days | |||||
Damp sawdust cage | Staying in wet sawdust-filled cage | 5–12 hours per time | 1–3 days | |||||
Restraint space | Staying in a body-fitted container | 1–3 hours per time | 1–2 days | |||||
White noise | Audible hissing sound | 4–6 hours per time | 1–3 days | 70 dB | ||||
Strobe light | Flashes at 2.5 Hz | 6–14 hours per time | 2–3 days | 500 lux | ||||
Circadian disturbance | Living with irregular illumination | 3 weeks | ||||||
weeks Days |
One | Two | Three | Four | Five | Six | Seven | |
One | SI (0–24), CD SL (21-10) EC (21-10) |
SI (0–24), CD RS (13–14) |
SI (0–24), CD DSC (9–15) RS (15–18) |
SI (0–24), CD WN (11–15) TC (16–22) |
SI (0–24), CD RS (9–11) EC (14–21) SL (23–9) |
SI (0–24), CD DSC (10–16) |
SI (0–24), CD TC (20-14) SPT |
|
Two | SI (0–24), CD RS (15–16) WN (15–20) |
SI (0–24), CD RS (14–16) TC (20–9) SL (20–9) |
SI (0–24), CD RS (12–14) WN (18–23) |
SI (0–24), CD DSC (10–20) |
SI (0–24), CD RS (9–10) SL (22-10) WN (22–3) |
SI (0–24), CD DSC (9–18) |
SI (0–24), CD EC (21-13) SPT |
|
Three | SI (0–24), CD WN (13–19) EC (21-11) SL (21-11) |
SI (0–24), CD RS (13–15) |
SI (0–24), CD DSC (13–21) SL (15–21) |
SI (0–24), CD DSC (9–17) WN (20–2) |
SI (0–24), CD RS (10–13) TC (21–9) |
SI (0–24), CD WN (10–16) |
SI (0–24), CD RS (18–20) SPT |
|
Four for the tests | YMT | FST |
Abbreviations: CD, circadian disturbance; dB, decibel; DSC, damp sawdust cage; EC, empty cage; FST, forced swim test; RS, restraint space; SI, social isolation; SL, strobe light; SPT, sucrose preference test; TC, tilted cage; WN, white noise; YMT, Y-maze test.
Whether the CUMS-treated mice in 3 weeks fell into anhedonia and low self-esteem was tested at days 29 to 31. The sucrose preference test (SPT) and Y-maze test (YMT) were used to assess the anhedonia, and the forced swim test (FST) was used to estimate their self-esteem (Porsolt et al., 1978; Willner et al., 1987; Dellu et al., 1992; C. H. Duman, 2010; Overstreet, 2012). The SPT was conducted with 1% sucrose water vs water for 4 hours. The SPT value was presented as a ratio of the ingested sucrose water to the ingested sucrose water plus water. The YMT was performed by monitoring a mouse staying in a special arm and the other 2 arms for 2 minutes. The end of this special arm included a female mouse (referred to as the M-arm). M-arm stay time was presented as a ratio of stay time in M-arm to that in the other 3 arms. The FST was done by recording immobile time in a water cylinder (10cm in diameter and 19cm deep at 25±1°C). To quantify the FST, immobile time and latency (a period to mouse immobility for the first time) were presented. In these tests, the SPT was given once per week, the YMT was given before and after the CUMS, and the FST was given one time after the CUMS. Before the SPT, the mice in the CUMS and control were deprived of food and water for 3 hours to drive their motivation to drink water. In the YMT, these arms were cleaned with 70% ethanol and then water after each test to reduce the effect of odor on the test. Care was taken in these tests by performing them in a quiet room with no additional stresses, the same circadian circle for all mice, and an adaptation period in the test environment.
An expression of depression-like behaviors was accepted if the mice in the CUMS group showed decreases in sucrose preference (twice at the end of weeks 2 and 3) and M-maze stay time and latency, as well as an increase in immobile time, compared with the respective values during their self-control period (the first week) and in the control group of mice. The mice with significant changes in all of 3 tests were defined as CUMS-induced depression-like mice or depression-like mice. About 30% of CUMS-treated mice in 3 weeks met this criterion, implying their vulnerability to the stress. These mice were used as depression-like mice to study cell imaging and electrophysiology. It is noteworthy that some mice without any change in these 3 tests were considered as resilient, that is, they were invulnerable to stress situations, in our study. The mechanism underlying stress vulnerability and invulnerability is not our current topic but will be addressed in the future. Because 30% of CUMS-treated mice met the depression criteria and all CUMS-treated mice did not show a change of the SPT at the end of week 1, the stressful situations in our study were considered to be mild stress.
Brain Slices and Neurons
To have more healthy brain cells for whole-cell recordings, we prepared cortical slices using the following procedures. The mice were anesthetized by isoflurane inhaling and were infused by the artificial cerebrospinal fluid (ACSF) and oxygenated (95% O2 and 5% CO2) at 4°C into their left ventricles until the bodies became cold; the concentrations (mM) of the chemicals were 124 NaCl, 3 KCl, 1.2 NaH2PO4, 26 NaHCO3, 0.5 CaCl2, 4 MgSO4, 10 dextrose, and 220 sucrose at pH 7.35. The mouse heads were immediately decapitated by guillotine and placed into this cold oxygenated ACSF with the brain isolation. The cortical slices (300 μm) in coronal direction were cut by Vibratome in this cold oxygenated ACSF. They were held in another oxygenated ACSF (124 NaCl, 3 KCl, 1.2 NaH2PO4, 26 NaHCO3, 2 CaCl2, 2 MgSO4, 10 dextrose, and 5 HEPES, pH 7.35) at 25°C for 2 hours. Each slice was placed into a submersion chamber (Warner RC-26G) that was perfused by the oxygenated ACSF at 31°C for electrophysiological recordings (J.-H. Wang and Kelly, 2001; Chen et al., 2008; Ge et al., 2014). The chemical reagents were from Sigma.
Whole-cell recording was done on GFP-labeled GABAergic and YFP-labeled glutamate neurons in layer III-IV of the prelimbic cortices under DIC-fluorescent microscope (Nikon FN-E600, Japan). The wavelength at 488nm excited the fluorescence of GFP-labeled neurons, and that at 575nm excited the fluorescence of YFP-labeled neurons. GABAergic neurons expressed fast spikes with less adaptation in their amplitude and frequency, the typical properties for the interneurons (Freund and Buzsaki, 1996; McKay and Turner, 2005; J.-H. Wang et al., 2008; Lu et al., 2014). Glutamatergic neurons demonstrated the pyramidal somata and spike adaptation.
Whole-Cell Recording and Neuronal Functions
The neurons were recorded by MultiClamp-700B amplifier under voltage-clamp for their synaptic activity and the current-clamp for their intrinsic property. Electrical signals were inputted to pClamp-10 (Axon Instrument Inc.) for data acquisition and analysis. An output bandwidth of the amplifier was set at 3kHz. The pipette solution for recording excitatory events included (mM) 150 K-gluconate, 5 NaCl, 5 HEPES, 0.4 EGTA, 4 Mg-ATP, 0.5 Tris-GTP, and 5 phosphocreatine (pH 7.35; Ge et al., 2011; Yang et al., 2014). The solution for studying inhibitory synapses contained (mM) 130 K-gluconate, 20 KCl, 5 NaCl, 5 HEPES, 0.5 EGTA, 4 Mg-ATP, 0.5 Tris–GTP, and 5 phosphocreatine (F. Zhang et al., 2012). These pipette solutions were freshly made and filtered (0.1 μm). The osmolarity was 295 to 305 mOsmol and pipette resistance was 5 to 6 MΩ.
The functions of GABAergic neurons were assessed including their active intrinsic properties and inhibitory outputs (J.-H. Wang, 2003). The inhibitory outputs were assessed by recording spontaneous inhibitory postsynaptic currents (sIPSC) on glutamatergic neurons in the presence of 10 μM 6-Cyano-7-nitroquinoxaline-2,3-dione and 40 µM D-amino-5-phosphonovanolenic acid in the ACSF to block ionotropic glutamatergic receptors. A total of 10 µM bicuculline was washed onto the slices at the end of experiments for blocking sIPSCs to test that synaptic responses were mediated by GABAAR. The pipette solution with a high concentration of chloride ions makes the reversal potential -42 mV. sIPSCs are inward when membrane potential is held at -65 mV (Wei et al., 2004; F. Zhang et al., 2012).
The functions of excitatory neurons were evaluated based on their active intrinsic properties and excitatory output (J.-H. Wang, 2003). The excitatory outputs were assessed by recording spontaneous excitatory postsynaptic currents (sEPSC) on GABAergic neurons in the presence of 10 µM bicuculline in the ACSF to block GABAAR (J.-H. Wang, 2003; Yu et al., 2012). A total of 10 μM 6-cyano-7-nitroquinoxaline-2,3-dione and 40 µM D-amino-5-phosphonovanolenic acid were added into the ACSF at the end of experiments to test whether synaptic responses were mediated by glutamate receptor, which blocked sEPSCs in our studies.
The recording of spontaneous synaptic currents, instead of evoked synaptic currents, is based on the following reasons. sEPSC and sIPSC amplitudes represent the responsiveness and densities of postsynaptic receptors. The frequencies imply the probability of transmitter release from an axon terminal and the number of presynaptic axons innervated on the recorded neuron (Zucker and Regehr, 2002; Stevens, 2004). Such parameters can be used to analyze presynaptic and postsynaptic mechanisms as well as to compare them with morphological data about neuronal interaction. The evoked postsynaptic currents cannot separate these mechanisms. We did not use tetrodotoxin in the ACSF to record miniature postsynaptic currents, since we had to record neuronal excitability. As the frequency of synaptic activities was less than those of sequential spikes (Figures 2, 4–5) and spontaneous spikes were never recorded on the neurons in our cortical slices, sIPSCs and sEPSCs were not generated from spontaneous action potentials. Synaptic events in our recording are presumably miniature postsynaptic currents. This point is granted by a single peak of postsynaptic currents in our study.
Action potentials at the cortical neurons were induced by injecting the depolarization pulse. Their excitability was assessed by input-outputs (spikes vs normalized stimuli) when various stimuli were given (Chen et al., 2006). We did not measure rheobase to show cellular excitability, as this strength-duration relationship was used to assess the ability to fire single spike. We measured the ability of firing sequential spikes (J. H. Wang et al., 2008).
Data were analyzed if the recorded neurons had the resting membrane potentials negatively more than -60 mV and action potential amplitudes more than 90 mV. The criteria for the acceptance of each experiment also included <5% changes in resting membrane potential, spike magnitude, and input resistance throughout each recording. The series and input resistances in all neurons were monitored by injecting hyperpolarization pulses (5 mV/50ms) and calculated by voltage pulses vs instantaneous and steady-state currents.
Cell Imaging in the Prelimbic Cortex
The mice were anesthetized by i.p. injection of urethane (1.5g/kg) and perfused by 4% paraformaldehyde in 0.1M phosphate-buffered saline into their left ventricle until their bodies were rigid. The brains were fixed in 4% paraformaldehyde for an additional 24 hours. The cortical tissues were sliced in a series of coronal sections (100 μm). The images for glutamatergic neurons and GABAergic neurons in layers III to IV were photographed under confocal microscopy with oil lens (Plan Apo VC 60X, 1.4NA; Nikon A1R plus, Tokyo, Japan). Although the peaks of GFP and YFP emission wavelength were 510 and 525nm, respectively, we scanned GFP by setting the optical grate at 510nm and YFP by the grate at 540nm, respectively, to separate their images.
The processes of glutamatergic and GABAergic neurons were measured in each of the sections (Ni et al., 2010) by using ImageJ (version 1.47; National Institute of Health). In terms of the structural interaction between excitatory and inhibitory neurons, we analyzed their mutual innervations by counting the contacts of presynaptic boutons on postsynaptic neurons. These contacts were counted from the layer-by-layer confocal cell imaging, that is, they were not the overlaps of 3-dimensional imaging. YFP-labeled glutamatergic axon boutons on GFP-labeled GABAergic neurons in contacts per neuron and GFP-labeled GABAergic axon terminals on YFP-labeled glutamatergic dendrites in contacts per 100-μm length were counted (G. Zhang et al., 2013). It is noteworthy that fluorescent proteins are not labeled to all neurons due to low-efficiency promoters. These low densities of neuronal contacts are parallel in control and depression-like mice.
Statistical Analyses
The data of behavior tests, electrophysiology, and morphology are presented as mean ± SE. Paired t test was used in the comparisons of experimental data before and after the CUMS in each of the mice. One-way ANOVA was used to make statistical comparisons in neuronal activity and morphology between control and depression-like groups.
RESULTS
CUMS Induces Mice to Express Depression-Like Behaviors
The mice were treated by CUMS or control for 3 weeks. Their mood states were assessed by SPT, YMT, and FST. In the mice showing the significant changes in all of these tests, the SPT values are 48.58 ± 5.1% in CUMS-treated mice (n = 10), 80.1 ± 2.2% before their CUMS treatment (self-control), and 86.62 ± 2.8% in control mice (n = 11) (Figure 1B). The SPT values in CUMS-treated mice vs their self-control and control mice were statistically different (P < .001). The ratios of stay time in M-arm to stay time in total arms were 61.6 ± 6.2% in CUMS-treated mice (n = 10), 82.1 ± 3.4% in their self-control, and 68.2 ± 3.7% in control mice (n = 11) (Figure 1C). These values are different for CUMS-treated mice vs their self-control and control mice (P < .01). In addition, the values of immobile time in the FST were 241.6 ± 8 seconds in CUMS-treated mice (n = 10) and 206.2 ± 8.2 seconds in controls (P < .01, n = 11) (Figure 1D, left). Latencies in the FST were 31.1 ± 2.6 seconds in CUMS-treated mice (n = 10) and 52.45 ± 3.9 seconds in controls (P < .001, n = 11) (Figure 1D, right). The mice that showed significant changes in all of these parameters are thought to be depression-like mice.
The CUMS led the mice to express depression-like behavior. Pathophysiological interaction between the excitatory and inhibitory neurons in the prelimbic cortex was investigated in depression-like mice and controls. The outputs of GABAergic neurons were studied by analyzing sIPSCs and axon innervations on their targeted glutamatergic neurons. The intrinsic property of GABAergic neurons was assessed by measuring their input-output curves. The receptions of GABAergic neurons were evaluated by analyzing their processes and glutamatergic terminals.
The Outputs Decrease in the GABAergic Neuron of the Prelimbic Cortex of Depression-Like Mice
The innervations from GABAergic axons to glutamatergic neurons were counted by GFP-labeled axonal terminals on YFP-labeled glutamatergic neuron in the prelimbic cortex (Figure 2A). Their contacts appear decreased in depression-like mice (Figure 2B). GFP-labeled axonal terminals per 100 μm of YFP-labeled apical dendrites from glutamatergic neurons were 5.26 ± 0.3 in depression-like mice (n = 64; Figure 2C, red bar) and 7.02 ± 0.34 in control mice (P < .001, n = 60 apical dendrites; Figure 2C, blue). Depression-like behavior is associated with the decreased innervation from GABAergic axons onto glutamatergic neurons in the prelimbic cortex.
Lower sIPSC frequency and higher sIPSC amplitude appeared in depression-like mice (Figure 3). Figure 3B shows cumulative probability vs sIPSC amplitude from depression-like mice and control. Figure 3C shows cumulative probability vs inter-sIPSC interval from 2 groups of mice. The values of sIPSC amplitudes at 67% cumulative probability were 11.7 ± 1.1 pA in depression-like mice (n = 10 cells) and 7.28 ± 0.6 pA in controls (n = 10 cells; P = .004). Inter-sIPSC intervals at 67% cumulative probability were 1115 ± 111ms in depression-like mice (n = 10) and 737 ± 128ms in control (n = 10; P = .03). Depression-like behavior is associated with an incompatible change in inhibitory synaptic efficacy, that is, the decreased GABA release and increased receptor responsiveness in the prelimbic cortex. The decreases in both GABA release and presynaptic GABAergic innervations strengthen the reliability of our data.
The Excitability Decreases in GABAergic Neurons of the Prelimbic Cortex of Depression-Like Mice
Figure 4 shows neuronal abilities to convert excitatory inputs into spikes. GABAergic neurons in depression-like mice appear to have a lower capacity to encode spikes (Figure 4A, red trace) compared with the control (blue trace). Figure 4B illustrates spikes vs normalized stimuli in these GABAergic neurons from control mice (blue symbols) and depression-like mice (red). The input-output curve in GABAergic neurons (n = 16) of depression-like mice shifts right-low compared with that in controls (n = 15; P < .05). Depression-like behavior is associated with the decreased capability to convert excitatory inputs into digital spikes in the GABAergic neurons of the prelimbic cortex.
Glutamatergic Innervations Increase in Prelimbic Cortical GABAergic Neurons of Depression-Like Mice
Excitatory synaptic activity was recorded on GABAergic neurons (Figure 5). sEPSC frequencies appear higher in depression-like mice than controls (Figure 5A). Figure 5B shows cumulative probability vs sEPSC amplitudes in depression-like mice and controls. Figure 5C shows cumulative probability vs inter-sEPSC intervals in 2 groups of mice. sEPSC amplitudes at 67% cumulative probability were 9.81 ± 1.3 pA from depression-like mice (n = 11 neurons) and 10.58 ± 1.4 pA from controls (n = 9 neurons; p = 0.69). Inter-sEPSC intervals at 67% cumulative probability were 280 ± 31ms from depression-like mice (n = 11) and 563 ± 55ms in control (n = 9; P < .001). Depression-like behavior is associated with the increased release of glutamates onto GABAergic neurons.
The innervation from glutamatergic axons onto GABAergic neurons was counted by YFP-labeled axonal terminals on GFP-labeled GABAergic neurons. As shown in Figure 6A-B, their contacts appear increased in depression-like mice. YFP-labeled axonal terminals on each GABAergic neuron were 7.07 ± 0.4 from depression-like mice (n = 43 neurons; Figure 6C, red bar) and 5.48 ± 0.4 from controls (P < .01, n = 43 neurons; Figure 6C, blue bar). Depression-like behavior is associated with the increased terminations from glutamatergic axons onto GABAergic neurons.
The reception of GABAergic neurons from synaptic inputs was also examined by measuring their processes. The number of their dendritic processes appeared greater in depression-like mice (Figure 7A-B). Processes per GABAergic neuron are 6.1 ± 0.15 in the depression-like mice (n = 70 cells; Figure 7C, red bar) and 5.27 ± 0.18 in controls (P < .001, n = 76 cells; Figure 7C, blue bar). Depression-like behavior is associated with an increased receptive field in prelimbic cortical GABAergic neurons. The consistent changes in sEPSC frequency, presynaptic glutamatergic innervation, and receptive field at GABAergic cells from depression-like mice strengthen our conclusion.
No Change in Excitability in the Prelimbic Cortical Glutamatergic Neurons of Depression-Like Mice
Figure 8 illustrates the ability of glutamatergic neurons to convert excitatory inputs into spikes in the prelimbic cortex. Glutamatergic neurons in depression-like mice did not appear to change in excitability (Figure 8A, red trace), compared with controls (Figure 8A, blue trace). Figure 8B shows spikes vs normalized stimuli in glutamatergic neurons from depression-like mice (red circles, n = 28 neurons) and controls (blue squares, n = 37). The CUMS does not influence the capability of glutamatergic neurons to convert excitatory inputs into spikes in the prelimbic cortex.
Discussion
The GABAergic neurons in the prelimbic cortex from depression-like mice possess decreased inhibitory synapse output and excitability (Figure 2–4) as well as increased reception from excitatory synapses (Figures 5–7). Although the bidirectional change in their outputs vs receptions appears to be compensatory homeostasis, this lack of coordination among subcellular compartments of GABAergic neurons may reduce their ability to regulate the downstream neurons. On the other hand, the increased sensitivity to inhibitory inputs (Figure 3) and the unchanged excitability in the glutamatergic neurons (Figure 8) may depress their excitatory output to drive the target cells. The incompatibility among subcellular compartments and incoordination between inhibitory and excitatory neurons may cause the dysfunction of the prelimbic cortex in major depressive disorder (Figure 9).
The dysfunction of GABAergic neurons is hypothetically a primary change to induce subcellular compartment incompatibility as well as inhibitory vs excitatory neuron incoordination, since they are vulnerable to the pathological factors (Akaike, 1995; J.-H. Wang, 2003; Luscher et al., 2011; J. H. Wang et al., 2015). For instance, the stress hormones affect the function of GABAA receptors (Hu et al., 2010; Skilbeck et al., 2010; Gunn et al., 2011; Mody and Maguire, 2011) and reduce the density of GABAergic neurons in the prenatal period (Uchida et al., 2014). Chronic stress impairs the reversal potential and density of GABA receptor-channels (Quintero et al., 2011; Wislowska-Stanek et al., 2013; MacKenzie and Maguire, 2015) and lowers GABAergic tones (Torrey et al., 2005; Hasler et al., 2007; Plante et al., 2012; Seney et al., 2014). In these studies and our data in the prelimbic cortex, a testable hypothesis is that stress-impaired GABAergic neurons lead to subcellular unit incompatibility and neuronal incoordination in major depressive disorder. Securing the GABAergic neurons in the limbic system to reverse the subcellular changes remains to be examined.
Studies from depression patients indicate low GABAergic tone in the central nervous system (Oruc et al., 1997; Torrey et al., 2005; Bajbouj et al., 2006; Hettema et al., 2006; Hasler et al., 2007; Price et al., 2009; Levinson et al., 2010; Croarkin et al., 2011; Plante et al., 2012). By analyzing GABAergic cells and synapses in the prelimbic cortex from depression-like mice, we observed the decreases in GABAergic axon output and soma excitability (Figures 2–4). Interestingly, the reception from glutamatergic axonal inputs increases in GABAergic neurons (Figures 5–7). These changes may be due to the fact that stress-induced primary dysfunction in GABAergic neurons initiates an unknown mechanism to enhance their sensitivity and reception from excitatory synapses, that is, a compensatory homeostasis among subcellular compartments for neuron survival (Chen et al., 2008). Moreover, a decrease in presynaptic GABA release and an increase in postsynaptic GABAA-receptor responses (Figure 3) imply homeostasis within GABAergic synapses, which may explain the controversy over the use of GABA-receptor enhancers as an antidepressant. The compensatory changes among subcellular compartments tend to maintain functional homeostasis in the GABAergic neurons and synapses. However, the incompatibility among subcellular compartments and the incoordination between presynaptic and postsynaptic compartments make neuronal interaction and synaptic transmission inefficient.
The increases in glutamatergic axonal terminations and actions in prelimbic cortical GABAergic neurons are seen in depression-like mice treated with CUMS for 3 weeks (Figures 5–6). This result is consistent with recent reports that the potentiation of excitatory synapses on the activated neurons in the prelimbic cortex are associated with learned helplessness (M. Wang et al., 2014) as well as that the stress induces increases in the number of hippocampal pyramidal neurons (Stockmeier et al., 2004) and in the densities of postsynaptic glutamate NR2A-receptors and PSD-95 in lateral amygdala (Karolewicz et al., 2009). This excitatory effect may act on prelimbic cortical GABAergic neurons to induce their excitotoxicity for cell pathophysiology associated with major depressive disorder. This point is supportive for recent findings that a low dose of NMDA-receptor antagonist ketamine improves depression patients resistant to typical antidepressants and reverses synaptic deficits in depression-like mice (R. S. Duman and Aghajanian, 2012; Zarate et al., 2013).
On the other hand, a few studies present different conclusions. The depression of excitatory synapses is seen on the parvalbumin neurons of the prefrontal cortex in learned helplessness mice evoked by extreme stress (Perova et al., 2015). The weakness of excitatory synapses mediated by AMPAR in the nucleus accumbens is associated with the depression in mice induced by stress in 5 days (Lim et al., 2012). Restraint stress in 7 days induces a decreased excitatory synaptic activity in the prefrontal cortical pyramidal neurons, including both NMDAR and AMPAR components (Yuen et al., 2012). To explain these differences in these studies from animal models, we consider the following reasons. The different types of neurons, neuronal circuits, and brain areas (such as positive vs negative circuits) may express different cellular changes to make the complicated signs in major depressive disorders. The procedures in the different stress patterns and periods may lead to the inconsistent pathological changes. Different from the studies that applied learned helplessness or restraint in 5 to 7 days, our CUMS procedure included mild stresses for 3 weeks; the mice in the first week did not show depression-like behaviors. Their mood and cognition are likely based on neuronal plasticity mixed from learning, working memory, and emotion deficiency, similar to stressful social life in depression patients.
Our studies demonstrate the incompatibility among subcellular compartments and incoordination between GABAergic and glutamatergic neurons in the prefrontal cortex from depression-like mice. These data imply that the incoordination among subcellular compartments constitutes neural substrates for major depressive disorder and the rebalance of their coordination should be considered as a therapeutic strategy, since coordination and compatibility among subcellular compartments are present under physiological conditions (Chen et al., 2008; J. H. Wang et al., 2013). It is noteworthy that other diseases in the central nervous system, such as anxiety and epilepsy, are associated with subcellular incoordination (Liu et al., 2014; Lei et al., 2015; J. H. Wang et al., 2015; Wen et al., 2015). The reset of neuronal homeostasis by rebalancing subcellular compatibility and coordination should be ideal strategies for the treatment of neural disorders.
By using the mice with YFP-labeled glutamatergic and GFP-labeled GABAergic neurons, we were able to analyze type-specific cell pathology in their subcellular compartments and mutual interaction. The analyses by morphology and electrophysiology indicate that the changes in cell structures and functions are consistent. The studies with neuronal identification and mutual supportive data make us confident in our conclusions. In the prelimbic cortices from depression-like mice induced by chronic mild stress, the synaptic outputs and excitability of GABAergic neurons decrease and the reception of GABAergic neurons from excitatory synapses increases. Stress-induced incompatibility among the subcellular compartments of the GABAergic neurons as well as the incoordination between GABAergic and glutamatergic neurons lead to imbalanced neural networks in the prelimbic cortex, which are the bases of depressive mood.
Interest Statement
None.
Acknowledgements
This study is funded by the National Basic Research Program (2013CB531304 and 2011CB504405) and Natural Science Foundation China (30990261, 81171033 and 81471123) to J.-H.W.
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