Abstract
Glutamate directly activates N-methyl-d-aspartate (NMDA) receptors on presynaptic inhibitory interneurons and enhances GABA release, altering the excitatory-inhibitory balance within a neuronal circuit. However, which class of NMDA receptors is involved in the detection of glutamate spillover is not known. GluN2D subunit-containing NMDA receptors are ideal candidates as they exhibit a high affinity for glutamate. We now show that cerebellar stellate cells express both GluN2B and GluN2D NMDA receptor subunits. Genetic deletion of GluN2D subunits prevented a physiologically relevant, stimulation-induced, lasting increase in GABA release from stellate cells [long-term potentiation of inhibitory transmission (I-LTP)]. NMDA receptors are tetramers composed of two GluN1 subunits associated to either two identical subunits (di-heteromeric receptors) or to two different subunits (tri-heteromeric receptors). To determine whether tri-heteromeric GluN2B/2D NMDA receptors mediate I-LTP, we tested the prediction that deletion of GluN2D converts tri-heteromeric GluN2B/2D to di-heteromeric GluN2B NMDA receptors. We find that prolonged stimulation rescued I-LTP in GluN2D knockout mice, and this was abolished by GluN2B receptor blockers that failed to prevent I-LTP in wild-type mice. Therefore, NMDA receptors that contain both GluN2D and GluN2B mediate the induction of I-LTP. Because these receptors are not present in the soma and dendrites, presynaptic tri-heteromeric GluN2B/2D NMDA receptors in inhibitory interneurons are likely to mediate the cross talk between excitatory and inhibitory transmission.
Keywords: NMDA receptors, cerebellum, inhibitory interneurons, LTP, GABA release
inhibitory synaptic transmission sets the excitability of principal neurons, and, therefore, activity-dependent changes in inhibitory drive are critical for most forms of experience-dependent learning (Chao et al. 2010; Ehrlich et al. 2009; Levelt and Hübener 2012; Marsicano et al. 2002; Nugent et al. 2007; Scelfo et al. 2008; Woodin and Maffei 2011). Growing evidence supports the idea that glutamate is a major regulator of inhibitory transmission (Castillo et al. 2011; McBain and Kauer 2009). Cross talk between excitatory and inhibitory presynaptic terminals offers a powerful means to alter the excitatory/inhibitory balance and so modify the output of neuronal circuitry. Such studies highlight the importance of understanding how glutamate communicates with inhibitory neurons to regulate the release of the inhibitory transmitter GABA.
Glutamate modulates inhibitory transmission through diverse mechanisms (Castillo et al. 2011; Gaiarsa et al. 2002). The best understood presynaptic modification of the strength of inhibitory synapses involves the release of the retrograde signals, endocannabinoids, nitric oxide (NO) and brain-derived neurotrophic factor, which is triggered by the activation of metabotropic glutamate receptors and N-methyl-d-aspartate (NMDA) receptors (NMDARs) in postsynaptic neurons (Castillo et al. 2011). However, glutamate can also directly activate NMDARs on presynaptic GABAergic interneurons to regulate GABA release. This second form of presynaptic plasticity has been commonly observed in several brain regions (Duguid and Smart 2004; Lachamp et al. 2009; Lien et al. 2006; Liu et al. 2007). We have previously shown that glutamate released from parallel fibers (PFs) activates NMDARs in stellate cells (cerebellar inhibitory interneurons) to induce a lasting increase in GABA release probability [long-term potentiation of inhibitory transmission (I-LTP)] (Liu and Lachamp 2006). The change is triggered by activation of NMDARs in presynaptic stellate neurons, but not by the retrograde signals, NO and endocannabinoids. This modulation enhances both evoked and spontaneous inhibitory transmission and markedly alters the activity of the cerebellar inhibitory network (Lachamp et al. 2009). One critical feature of this form of presynaptic plasticity is the heterosynaptic nature, requiring NMDARs on presynaptic inhibitory interneurons to detect glutamate released from nearby excitatory inputs. However, the molecular identity of the NMDARs responsible for the induction of I-LTP and their subcellular localization is not known.
Although NMDARs are localized in the postsynaptic membrane (Petralia et al. 2009), anatomical evidence also supports the existence of NMDARs in the presynaptic terminals of neurons in the neocortex, hippocampus, spinal cord, amygdala and cerebellum (Rodríguez-Moreno et al. 2010). NMDAR immunolabeling has been found in presynaptic axons of many GABAergic neurons, including in the axon terminals of cerebellar interneurons (Paquet and Smith 2000; Petralia et al. 1994) and activation of these receptors elevates calcium levels in axons (Rossi et al. 2012; Shin and Linden 2005) (but also see Christie and Jahr 2008; Clark and Cull-Candy 2002). If these presynaptic NMDARs are activated by glutamate spillover from PF terminals to regulate GABA release, they would need to be able to detect a low concentration of glutamate. One strong candidate is the GluN2D (or NR2D) subunit of NMDA receptors, which is predominantly expressed in GABAergic interneurons, including cerebellar stellate cells (Akazawa et al. 1994; Monyer et al. 1994; Thompson et al. 2000). NMDARs that contain GluN2D subunits exhibit a higher glutamate affinity, lower Mg2+ blockade, and prolonged decay time constant after a brief application of agonist, relative to GluN2A and GluN2B-containing receptors (Cull-Candy et al. 2001; Misra et al. 2000; Siegler Retchless et al. 2012). These unique features enable the receptors to detect a spillover of glutamate from nearby excitatory terminals and give rise to a sustained glutamatergic activation signal. We, therefore, tested the hypothesis that GluN2D-containing receptors in stellate cell induce I-LTP.
Using genetic and pharmacological approaches, we found that both GluN2B and GluN2D receptors are expressed in the dendrites and somata of stellate cells. Our experiments show that genetic deletion of GluN2D abolished the PF stimulation-induced I-LTP in stellate cells. Unexpectedly, this was rescued by prolonging PF stimulation duration, and thus the presence of GluN2D in NMDARs lowered the threshold for induction of I-LTP. Although GluN2B receptor inhibitors prevented such I-LTP in mutant mice, they failed to attenuate I-LTP in wild-type (WT) mice, indicating that these NMDARs contain both GluN2D and GluN2B subunits. Pharmacological inhibition of tri-heteromeric GluN2B/2D (tri-GluN2B/2D) NMDARs prevented the induction of I-LTP in WT mice. We conclude that presynaptic GluN2B/2D NMDARs are required for the induction of I-LTP in WT mice. Incorporation of GluN2D in an NMDAR, therefore, allows a physiologically relevant activity, such as occurs during sensory stimulation, to modulate GABA release.
EXPERIMENTAL PROCEDURES
Cerebellar slice preparation and electrophysiology.
Cerebellar slices were prepared as previously described (Dubois et al. 2012; Liu and Cull-Candy 2000). Briefly, postnatal day (P) 7 to P10 and P18 to P40 WT (The Jackson Laboratory) and GluN2D knockout (KO) (Ikeda et al. 1995) mice on a C57BL/6J background were decapitated, and the cerebellum was isolated. Horizontal or sagittal slices (400 μm) were cut from the cerebellum using a vibratome (Leica VT1200) in an ice-cold artificial cerebrospinal fluid (aCSF) (containing in mM: 81.2 NaCl, 2.4 KCl, 23.4 NaHCO3, 1.4 NaH2PO4, 6.7 MgCl2, 0.5 CaCl2, 23.3 glucose, 69.9 sucrose, pH 7.4). Slices were then maintained in aCSF (in mM: 125 NaCl, 2.5 KCl, 26 NaHCO3, 1.25 NaH2PO4, 1 MgCl2, 2 CaCl2, 25 glucose, pH 7.4) saturated with 95% O2/5% CO2 at room temperature for at least 30 min before recording. Experimental procedures were approved by the Institutional Animal Care and Use Committee of the Louisiana State University Health Sciences Center and followed Penn State University guidelines.
Whole cell patch-clamp recordings were made from cerebellar stellate cells in an O2/CO2-saturated aCSF. Stellate cells were identified by their location in the outer two-thirds of the molecular layer and by the presence of spontaneous action potentials in the cell-attached mode. Analog signals were filtered at 2 or 10 kHz and digitized at 10 kHz (Multiclamp 700A, Axon Instruments). Series resistance was monitored throughout the recordings, and, if this changed by more than 20%, the recordings were discarded. All synaptic and dendritic currents were recorded at near physiological temperature (33–37°C; except for the data in Fig. 1), while single channel currents in outside-out patches were recorded at room temperature to reduce noise.
I-LTP.
Miniature inhibitory synaptic currents (mIPSCs) were recorded in stellate cells. Cells were voltage clamped at −30 mV in the presence of 0.5 μM tetrodotoxin (TTX) in aCSF, using borosilicate electrodes (6–8 MΩ) filled with a low-chloride pipette solution (in mM: 120 Cs-acetate, 0.4 MgCl2, 0.1 CaCl2, 2.5 MgATP, 0.4 NaGTP, 1.5 NaATP, 10 Cs-EGTA, 5 QX-314 and 10 HEPES, pH 7.3). After obtaining a stable recording for at least 15 min, TTX was washed out for 20 min. PFs were then stimulated with a parallel bipolar electrode (150-μm spacing) that was placed across the molecular layer about 200 μm from the recording electrode. The strength of the stimulation ranged from 5 to 50 V with a duration of 200 μs and was adjusted to evoke NMDAR currents at +40 mV in response to a single burst stimulation (4 stimuli at 100 Hz). I-LTP was then induced using 5 or 15 repeated trains of burst stimulation (repeated every second), while the postsynaptic cell was voltage-clamped at −60 mV. These are physiological relevant stimulation protocols, since sensory stimulation in vivo evokes a burst of action potentials at ∼80 Hz in granule cells (Chadderton et al. 2004; Wilms and Häusser 2015), the axons of which innervate stellate cells. Axonal calcium transients in stellate cells elicited by activation of presynaptic NMDARs reach a peak value at ∼400 ms after glutamate uncaging and remain high at 800 ms (Figs. 2Ad and 5 in Rossi et al. 2012). Thus repeated stimulation of PFs with a 960-ms intertrain interval is expected to lead to a sustained increase in presynaptic calcium levels. Immediately after PF stimulation, TTX was reintroduced into the aCSF, and recordings of mIPSCs were started within 2 min.
Dendritic NMDAR currents.
Dendritic NMDAR-mediated currents were recorded using a Cs-based pipette solution (in mM: 140 CsCl, 2 NaCl, 10 HEPES, 4 Mg-ATP, 5 QX-314, 5 tetraethylammonium, and 10 Cs-EGTA, pH 7.3). A single train of PF stimulation has been shown to induce a spillover of glutamate and activate extrasynaptic NMDARs (Carter and Regehr 2000; Clark and Cull-Candy 2002; Sun and Liu 2007). Therefore, we evoked NMDAR currents by stimulating PFs using a monopolar electrode (4–8 MΩ, filled with aCSF) with a single train of four depolarizations at 100 Hz. This allowed us to compare our results to other studies that have characterized NMDAR properties using a monopolar stimulating electrode (Carter and Regehr 2000; Clark and Cull-Candy 2002; Sun and Liu 2007). The typical stimulation intensity was 20 V with a duration of 200 μs. Recordings were obtained at +40 mV to relieve the magnesium block of NMDARs, and the PF stimulation protocol was repeated every 30 s. Gabazine (SR-95531, 10 μM) and 2,3-dihydroxy-6-nitro-7-sulfamoyl-benzo[f]quinoxaline-2,3-dione (NBQX) (5 μM) were included in the aCSF to block GABAA and dl-α-amino-3-hydroxy-5-methylisoxazole-propionic acid (AMPA) receptors, respectively. The evoked currents were recorded for 15 min to obtain a stable baseline before application of NMDAR inhibitors.
Dendritic AMPA currents and paired pulse ratio.
AMPA receptor-mediated excitatory postsynaptic currents (EPSCs) were recorded using the Cs-based internal solution and evoked by stimulating PFs with a monopolar stimulating electrode in the presence of 10 μM 3-[(R)-2-carboxypiperazin-4-yl]-propyl-1-phosphanoic acid (R-CPP) (to block NMDAR currents). AMPA currents were recorded at −60 mV following two consecutive PF stimulations (50 Hz) repeated every 3 s. Typical stimulation intensity was 2–5 V with a duration of 200 μs. The paired-pulse ratio of average EPSCs (typically 100–150 events) at the PF-stellate cell synapse was calculated as the ratio of the amplitude of the second EPSC (EPSC2) over the first (EPSC1).
Somatic NMDAR currents in outside-out patches.
Recordings were obtained in a magnesium-free aCSF that contained 0.5 μM TTX, 5 μM NBQX, 10 μM SR-95531 and 0.5 μM strychnine. Somatic outside-out patches were voltage-clamped at −60 mV using borosilicate electrodes (7–15 MΩ) filled with a cesium fluoride-based pipette solution (in mM: 95 CsF, 35 CsCl, 2 NaCl, 1 CaCl2, 4 MgATP, 10 Cs-EGTA, 1 QX-314, 5 tetraethylammonium and 10 HEPES, pH 7.3). If recordings did not contain any spontaneous channel openings, the aCSF was supplemented with 10 μM glycine and 10 μM NMDA. Currents at 0 or −100 mV were also recorded to ensure that the reversal potential was 0 mV. The NMDA-evoked currents were recorded for 10 min to obtain a stable baseline (control period) and then in the presence of a NMDAR inhibitor for at least 10 min. Following washout of each inhibitor, NMDA-evoked currents returned to control levels {%change: R-CPP, 4 ± 10%, n = 16; ifenprodil, −16 ± 12%, n = 5; (2S*,3R*)-1-(phenanthren-2-carbonyl)piperazine-2,3-dicarboxylic acid (PPDA), −5 ± 8%; n = 7, P > 0.05 for all drugs, washout vs. control}. For analysis, current traces were resampled at 10 kHz and filtered at 1 kHz. Events of more than 0.6 pA and lasting more than two filter rise times (332 μs) were then selected over a 1-min period, and charge transfer was calculated.
Data analysis.
Clampfit 9.0 (Axon Instruments) was used for the analysis of dendritic NMDAR currents and mIPSCs. The average dendritic NMDAR-mediated current was obtained by aligning all of the traces to the stimulus artifact (typically 10 events). The inhibition of NMDAR currents by antagonists was calculated from the amplitude and integral of EPSCs (charge transfer) before and after the addition of an inhibitor. The decay time constant was obtained by fitting the decay phase of the EPSCs with a two-exponential function. mIPSCs were selected using an event detection template. The average frequency and amplitude of mIPSCs were calculated over periods of 5 min. The group data in the I-LTP experiment in WT mice induced by 5 and 15 trains of PF stimulation include several cells from our laboratory's previous published results (Lachamp et al. 2009), since no difference was observed between the two data sets. During the induction of I-LTP, the PF stimulation-evoked currents were recorded at −60 mV in postsynaptic stellate cells. This current consisted of a fast component mediated via AMPA receptors and a slow component. The latter is mediated by NMDARs because it was blocked by 10 μM R-CPP, as we have shown previously (Fig. 6C in Liu and Lachamp 2006). Since the decay time constant of the fast component of the current was 8 ms (7.5 ± 0.9 ms, n = 7, not shown), we determined the charge transfer of the slow component of the current 8–500 ms after the last of the four stimuli. Because the amplitude of dendritic NMDAR-mediated currents evoked by local glutamate uncaging is fivefold greater than axonal NMDAR currents (Fig. 3C in Rossi et al. 2012), the currents recorded during PF stimulation were largely mediated by somato-dendritic receptors.
No statistical method was used to predetermine sample sizes, but they are similar to previous studies (Lachamp et al. 2009; Liu and Cull-Candy 2000; Sun and Liu 2007). Data sets were obtained from at least three different litters, and animals from either sex were assigned randomly to the different experimental conditions. All values are means ± SE, and a P value < 0.05 was considered as significant. All tests were performed on primary data (not normalized). Normality and equality of the variances were assessed, and statistical tests were chosen accordingly. These mostly included one-way or two-way ANOVA with repeated measurements (except for Fig. 11), and Tukey post hoc procedures were applied when needed. For detailed statistical analysis, see Table 1.
Table 1.
Figure | Conditions | n/Group | Analysis | Factor Analyzed | F Value | P Value |
---|---|---|---|---|---|---|
1B | Genotype | 18–12 | Unpaired t-test, equal variance | NMDA current decay time | 0.003 | |
1C | Genotype | 18–12 | Unpaired t-test, equal variance | NMDA current amplitude | 0.210 | |
1D | Genotype | 18–12 | Unpaired t-test, equal variance | NMDA current charge transfer | 0.009 | |
1F | PPDA in stellate cell WT | 5 | Paired t-test | Charge transfer | 0.019 | |
2B | Ifen in WT (physiol. temperature) | 7 | Paired t-test | NMDA current amplitude | <0.001 | |
Ifen in WT (physiol. temperature) | 7 | Paired t-test | NMDA current charge transfer | <0.001 | ||
Ifen in WT (physiol. temperature) | 7 | Paired t-test | NMDA current decay time | 0.016 | ||
2D | Ifen in stellate cell WT | 5 | Paired t-test | Charge transfer | 0.007 | |
Ifen in SC GluN2D KO | 4 | Paired t-test | Charge transfer | 0.001 | ||
3C | Interaction genotype/stimulation | 6–8 | 2-way RM ANOVA | mIPSC frequency | F(1,27) = 14.430 | 0.003 |
Stimulation in WT | 8 | Tukey | mIPSC frequency | 0.020 | ||
Stimulation in GluN2D KO | 6 | Tukey | mIPSC frequency | 0.167 | ||
3D | Interaction genotype/stimulation | 6–8 | 2-way RM ANOVA | mIPSC amplitude | F(1,27) = 0.662 | 0.432 |
Stimulation in WT | 8 | Tukey | mIPSC amplitude | 0.089 | ||
Stimulation in GluN2D KO | 6 | Tukey | mIPSC amplitude | 0.608 | ||
4A | Genotype | 6–7 | Unpaired t-test, equal variance | Paired pulse ratio | 0.761 | |
4B | Genotype | 36–58 | Kolmogorov-Smirnov test | mIPSC frequency | Ks stat 0.155172 | 0.659 |
Genotype | 33–36 | Kolmogorov-Smirnov test | mIPSC amplitude | Ks stat 0.143939 | 0.868 | |
4D | PPDA in WT | 5 | Paired t-test | mIPSC frequency | 0.502 | |
Ifen in WT | 5 | Paired t-test | mIPSC frequency | 0.129 | ||
R-CPP in WT | 5 | Paired t-test | mIPSC frequency | 0.095 | ||
5C | Stimulation in GluN2D KO | 9 | 1-way RM ANOVA | mIPSC frequency | F(1,17) = 10.522 | 0.012 |
5D | Stimulation in GluN2D KO | 9 | 1-way RM ANOVA | mIPSC amplitude | F(1,17) = 0.006 | 0.939 |
6C | Interaction genotype/stimulation | 6–8 | 2-way RM ANOVA | mIPSC frequency | F(1,27) = 8.917 | 0.011 |
Stimulation in WT | 6 | Tukey | mIPSC frequency | 0.022 | ||
Stimulation in GluN2D KO | 8 | Tukey | mIPSC frequency | 0.153 | ||
6D | Interaction genotype/stimulation | 6–8 | 2-way RM ANOVA | mIPSC amplitude | F(1,27) = 0.621 | 0.446 |
Stimulation in WT | 6 | Tukey | mIPSC amplitude | 0.579 | ||
Stimulation in GluN2D KO | 8 | Tukey | mIPSC amplitude | 0.625 | ||
7D | Interaction genotype/stimulation | 5–6 | 2-way RM ANOVA | Charge transfer | F(2,31) = 4.214 | 0.039 |
PPDA in GluN2D KO | 6 | Tukey | Charge transfer | 0.906 | ||
PPDA in Golgi cells | 5 | Tukey | Charge transfer | 0.004 | ||
PPDA in Purkinje cells | 5 | Tukey | Charge transfer | 0.015 | ||
8D | Interaction genotype/stimulation | 6–7 | 2-way RM ANOVA | Charge transfer | F(2,37) = 4.258 | 0.033 |
R-CPP in GluN2D KO | 6 | Tukey | Charge transfer | 0.997 | ||
R-CPP in Golgi cells | 7 | Tukey | Charge transfer | 0.002 | ||
R-CPP in Purkinje cells | 6 | Tukey | Charge transfer | 0.938 | ||
9B | R-CPP in WT | 8 | 1-way RM ANOVA | mIPSC frequency | F(1,15) = 3.227 | 0.115 |
10B | R-CPP in Stellate cell WT | 5 | Paired t-test | Charge transfer | 0.247 | |
10D | R-CPP in WT | 5 | Paired t-test | NMDA current amplitude | 0.053 | |
10E | R-CPP in WT | 5 | Paired t-test | NMDA current charge transfer | 0.598 | |
10F | R-CPP in WT | 5 | Paired t-test | NMDA current decay time | 0.207 | |
11A | Comparison between groups | 6–9 | 1-way ANOVA | Charge transfer | F(5,42) = 1.266 | 0.299 |
11B | Interaction %change in mIPSC frequency/charge transfer | 57 | Pearson product moment correlation | Charge transfer | R2 = 0.008 | 0.518 |
11C | Interaction %change in mIPSC frequency/initial mIPSC frequency | 59 | Pearson product moment correlation | mIPSC frequency | R2 < 0.001 | 0.976 |
11A legend | Interaction %change in mIPSC frequency/charge transfer | 8 | Pearson product moment correlation | Charge transfer | R2 = 0.175 | 0.302 |
Methods | Washout R-CPP | 16 | Paired t-test | NMDA current charge transfer | 0.114 | |
Methods | Washout Ifen | 5 | Paired t-test | NMDA current charge transfer | 0.367 | |
Methods | Washout PPDA | 7 | Paired t-test | NMDA current charge transfer | 0.246 |
n, No. of mice. PPDA, (2S*,3R
)-1-(phenanthren-2-carbonyl)piperazine-2,3-dicarboxylic acid;
WT, wild type; Ifen, ifenprodil; SC, stellate cells; KO, knockout; R-CPP, 3-[(R)-2-carboxypiperazin-4-yl]-propyl-1-phosphanoic acid; NMDA, N-methyl-d-aspartate; mIPSC, miniature inhibitory synaptic currents; RM, repeated measures. Bolded P values indicate a significant effect (P < 0.05).
RESULTS
Stellate cells express functional GluN2D and GluN2B receptors.
We first determined whether functional GluN2D-containing receptors are present in the dendrites of stellate cells. While NMDARs are not present at the synapse, high-frequency stimulation of PF triggers a glutamate spillover, which can evoke currents mediated by NMDARs. These receptors are presumably located on dendrites but at extrasynaptic sites (Carter and Regehr 2000; Clark and Cull-Candy 2002; Sun and Liu 2007). Because both recombinant and native di-heteromeric GluN2D (di-GluN2D) receptors display a slow decay time when characterized at room temperature (Misra et al. 2000), we measured dendritic NMDAR currents in response to a train of PF stimulation at 100 Hz (4 stimuli) in WT and GluN2D KO mice (Ikeda et al. 1995). We found that deletion of GluN2D subunits accelerated the decay kinetics of dendritic NMDAR currents (Fig. 1A). The decay time constant of NMDAR currents decreased from 338 ± 30 ms (n = 18) in WT to 203 ± 23 ms (n = 12; P < 0.002; Fig. 1B) in GluN2D KO mice. This is in agreement with the presence of NMDARs that contain GluN2D subunits (Cull-Candy et al. 2001). The total charge transfer of NMDA currents decreased by ∼60% in mutant mice (Fig. 1D). Furthermore, 0.1 μM PPDA, which blocks GluN2D-containing NMDARs, reduced the NMDA-evoked currents in outside-out patches from WT stellate cells by 57 ± 6% (n = 5; P < 0.01; Fig. 1, E and F). These results indicate that GluN2D-containing receptors mediate the dendritic and somatic NMDAR currents in stellate cells.
We next investigated the contribution of GluN2B-containing NMDARs to dendritic NMDAR currents in WT mice. At 33–37°C, 3 μM ifenprodil inhibited the amplitude of dendritic NMDAR currents by 32 ± 6% (before, 427 ± 103; ifenprodil, 291 ± 89 pA; n = 7; P < 0.001) and reduced the charge transfer by 20 ± 7% (P < 0.001). Thus GluN2B receptors are present in the dendrites of stellate cells, consistent with a report that GluN2B, but not GluN2A-containing NMDARs, mediate dendritic NMDAR currents in rat stellate/basket cells (Bidoret et al. 2015). Ifenprodil also prolonged the decay time constant in WT mice from 163 ± 10 ms to 201 ± 15 ms (Fig. 2, A and B; P < 0.05), consistent with the presence of GluN2D-containing NMDARs. Furthermore, we found that 3 μM ifenprodil inhibited NMDA-evoked currents in outside-out patches from WT stellate cells by 47 ± 9% (n = 5; P < 0.01; Fig. 2, C and D). A marked increase in the blockade of NMDAR currents by ifenprodil in GluN2D KO mice to ∼90% inhibition, compared with WT mice, indicates that somatic NMDAR currents are largely mediated by GluN2B and GluN2D receptors.
Deletion of GluN2D subunits prevents I-LTP.
We next investigated the role of the GluN2D subunit in the induction of I-LTP. We recorded mIPSCs from stellate cells to monitor spontaneous GABA release and then stimulated PFs to evoke glutamate release. In vivo studies show that sensory stimulation evokes a burst of three to four action potentials at ∼80 Hz in rats (Chadderton et al. 2004). We therefore stimulated PFs using five trains of four depolarizations at 100 Hz and found that this induced a lasting increase in mIPSC frequency of 55 ± 23% (prestimulation 1.3 ± 0.4 Hz; poststimulation 2.0 ± 0.6 Hz; n = 8; P < 0.001) in most neurons tested (7 of 8 cells), consistent with our laboratory's previous observation (Lachamp et al. 2009). The mIPSC amplitude was not altered (prestimulation 22.7 ± 0.8 pA; poststimulation 20.2 ± 1.8 pA), indicating an increase in spontaneous GABA release from stellate cells in WT mice (Fig. 3, A, C–E). However, we found that this threshold stimulation protocol failed to produce a sustained increase in mIPSC frequency in all six stellate cells tested from GluN2D KO mice (prestimulation 1.5 ± 0.5 Hz; poststimulation 1.3 ± 0.4 Hz) and the amplitude remained unaltered (prestimulation 32 ± 4 pA; poststimulation 32 ± 3 pA; Fig. 3, B–E).
To test whether this change was due to reduced glutamate release from PFs in mutant mice, we stimulated PFs with two consecutive stimuli, and EPSCs were recorded at −60 mV in the presence of R-CPP (10 μM) and picrotoxin (100 μM) to block NMDA and GABA receptors, respectively. The paired pulse ratio of evoked EPSCs did not change in the GluN2D KO mice (WT 1.9 ± 0.2, n = 7; GluN2D KO 2.0 ± 0.2, n = 6; Fig. 4A), indicating that the probability of glutamate release from PFs in mutant mice was not altered. Furthermore, mIPSC frequency was not altered in GluN2D KO mice (WT 2.2 ± 0.3 Hz, n = 49; GluN2D KO 2.1 ± 0.3 Hz, n = 36; Fig. 4B), suggesting that basal spontaneous GABA release was also unaffected. Thus deletion of GluN2D subunits prevents the NMDAR-dependent, lasting increase in GABA release induced using a threshold stimulation protocol.
GluN2D sets a low threshold for induction of I-LTP.
Tri-heteromeric receptors are composed of two GluN1 and two distinct GluN2 subunits and are thought to be the majority of the native NMDARs in the hippocampus (Rauner and Köhr 2011). NMDARs that contain both GluN2B and GluN2D subunits have been described in cerebellar Golgi cells and substantia nigra dopaminergic neurons (Brickley et al. 2003; Brothwell et al. 2008; Jones and Gibb 2005). While NMDARs containing two GluN2D subunits have low channel conductance and opening probability, tri-GluN2B/2D receptors exhibit distinct biophysical characteristics, with additional large 50-pS conductance channel openings and low sensitivity to Mg2+ blockade (Huang and Gibb 2014; Misra et al. 2000). Thus these receptors can be activated at more hyperpolarized potentials than di-GluN2B receptors and generate a larger current than di-GluN2D receptors. Prominent GluN2A/B staining was observed in the axonal terminals of cerebellar basket cells (Petralia et al. 1994). This raises the possibility that tri-GluN2B/2D NMDARs could be present in axons and induce I-LTP in WT mice.
Deletion of GluN2D would convert a tri-GluN2B/2D NMDAR to di-GluN2B receptor. Because GluN2D receptors have a higher affinity for glutamate than GluN2B receptors, we predicted that prolonging PF stimulation would increase the likelihood of activation of low-affinity NMDARs by spillover glutamate and thus rescue I-LTP in GluN2D KO mice. To test this possibility, we increased the PF stimulation to 15 trains.
As we have shown previously, 15 trains of PF stimulation induced a sustained increase in the frequency of mIPSCs (74 ± 14%; prestimulation 4.2 ± 1.0 Hz; poststimulation 7.8 ± 2.4 Hz; n = 8; P < 0.001) with little effect on the amplitude (prestimulation 39 ± 6 pA, poststimulation 35 ± 5 pA; Fig. 5A) in WT mice (Lachamp et al. 2009). In contrast to the five-train stimulation, this protocol successfully induced a sustained increase in the frequency of mIPSCs in GluN2D KO mice (Fig. 5, B, C, and E). The frequency of mIPSCs increased by 91 ± 25% (prestimulation 1.3 ± 0.4 Hz; poststimulation 2.2 ± 0.6 Hz; n = 9; P < 0.05; Fig. 5, B and C) over a period of 30 min relative to control without changing the mIPSC amplitude (prestimulation 24.2 ± 4.4 pA; poststimulation 24.1 ± 4.4 pA, Fig. 5, B and D). Thus the presence of GluN2D in NMDARs lowered the threshold for induction of I-LTP.
We next investigated the possibility that tri-GluN2B/2D NMDARs induce I-LTP in stellate cells from WT mice. Deletion of GluN2D is predicted to alter the tri-GluN2B/2D receptors to di-GluN2B receptors, which contain two GluN2B subunits. Ifenprodil at 3 μM has been shown to inhibit di-GluN2B receptors, but not tri-GluN2B/2D NMDARs (Brickley et al. 2003). Application of ifenprodil (3 μM) did not block the 15-train PF stimulation-induced increase in mIPSC frequency (95 ± 37%; prestimulation 1.2 ± 0.3 Hz; poststimulation 2.4 ± 0.8 Hz; n = 6; P < 0.05; Fig. 6, A, C, and E) and did not alter the basal mIPSC frequency (Fig. 4D) in WT mice. Thus di-GluN2B receptors are not necessary for the induction of I-LTP. We, therefore, determined whether activation of di-GluN2B receptors triggered I-LTP in GluN2D KO mice. In contrast to WT mice, application of the selective antagonists ifenprodil (3 μM) and RO 04–5595 (5 μM) during a 15-train PF stimulation protocol completely prevented the induction of I-LTP (prestimulation 2.2 ± 0.8 Hz; poststimulation 1.6 ± 0.6 Hz; Fig. 6, B–E) in mutant mice. These results indicate that activation of di-GluN2B receptors induces a lasting increase in GABA release only in mutant mice but not in WT mice (Fig. 6E). Therefore, tri-GluN2B/2D receptors in WT mice are responsible for the induction of I-LTP.
Pharmacological blockade of the PF stimulation-induced lasting increase in GABA release.
Our results so far suggest that NMDARs that are responsible for I-LTP contain both GluN2B and GluN2D subunits. NMDARs are located in both the dendrites and axon terminals of stellate cells. Our laboratory has previously shown that neither the release of NO or endocannabinoids, nor a calcium rise in postsynaptic stellate cells, is required for I-LTP (Lachamp et al. 2009). Thus postsynaptic NMDAR activation is unlikely to trigger I-LTP. Axonal NMDARs can be activated by glutamate (Duguid et al. 2007; Rossi et al. 2012) and, therefore, are strong candidates for induction of I-LTP. It has also been shown that activation of somato-dendritic NMDARs can lead to depolarization of axon terminals of stellate cells and enhances GABA release (Christie and Jahr 2008). Thus I-LTP can potentially be induced either by direct activation of axonal receptors, or by activation of somato-dendritic receptors. The latter model makes two predictions. First inhibition of somato-dendritic receptors should prevent I-LTP. Our results, however, show that GluN2B blockers inhibited dendritic NMDARs, but failed to block I-LTP (Figs. 2E and 6A). Second inhibitors that block I-LTP should also inhibit NMDAR currents in the soma or dendrites. To address this issue, we tested the ability of two inhibitors to block tri-GluN2B/2D receptors and determined whether these inhibitors prevented the induction of I-LTP.
First, PPDA exhibits a moderate preference for GluN2C and GluN2D over GluN2A and GluN2B recombinant receptors. Thus PPDA at 0.1 μM is reported to preferentially block GluN2C/D-containing NMDARs (Feng et al. 2004). To determine whether 0.1 μM PPDA inhibits native GluN2D-containing receptors, we took advantage of the well-characterized expression of tri-GluN2B/2D (and di-GluN2B) receptors in P7-10 Golgi cells, and di-GluN2D receptors in Purkinje cells (Brickley et al. 2003; Misra et al. 2000). We excised outside-out patches from somata of these neurons and evoked NMDAR currents by application of NMDA and glycine. Renzi et al. (2007) have shown that ∼25% of Purkinje cell patches also have large-conductance NMDAR currents due to GluN2A and 2B receptors. However, such currents were not detected in our patches, and, therefore, NMDAR currents in these patches were mainly mediated by di-GluN2D receptors. We found that 0.1 μM PPDA inhibited NMDA-evoked currents in outside-out patches excised from Golgi cells (−45 ± 13%; n = 5; P < 0.01; Fig. 7, B and D). PPDA also reduced the somatic single-channel currents mediated via di-GluN2D NMDARs in Purkinje cells (−59 ± 13%; n = 5; P < 0.05; Fig. 7, C and D). In contrast, PPDA at 0.1 μM did not inhibit somatic currents mediated by di-GluN2B receptors in stellate cells from P18 GluN2D KO mice (3 ± 9%; n = 6; P > 0.05; Fig. 7, A and D; the predicted inhibition of recombinant di-GluN2B receptors is ∼15–20%). Thus 0.1 μM PPDA inhibits both tri-GluN2B/2D and di-GluN2D receptors, but not di-GluN2B receptors (Fig. 7D) in cerebellar neurons. When 0.1 μM PPDA was applied during a 15-train PF stimulation protocol, PF stimulation failed to enhance GABA release (mIPSC frequency: prestimulation 4.2 ± 1.1 Hz; poststimulation 4.0 ± 1.0 Hz; n = 6; Fig. 7, E and F). Application of PPDA alone did not alter the frequency of mIPSCs (Fig. 4D). This result is consistent with the idea that GluN2D receptors are critically involved in the induction of I-LTP in stellate cells.
Second, a low concentration of CPPene has been shown to inhibit recombinant tri-GluN2B/2D receptors (IC50 = 0.06 μM), di-GluN2B receptors (IC50 = 0.14 μM), but not di-GluN2D receptors (IC50 = 1.8 μM) (Buller and Monaghan 1997). We next tested whether 0.2 μM R-CPP, the parent compound of d-CPPene, blocked tri-GluN2B/2D, but not di-GluN2D, and determined its effects on di-GluN2B receptors in neurons. R-CPP at 0.2 μM did not inhibit somatic GluN2B NMDAR currents in stellate cells from GluN2D KO mice (4 ± 6%; Fig. 8, A and D), which could be due to a reduced inhibitory potency of R-CPP relative to CPPene (Lowe et al. 1990). Application of 0.2 μM R-CPP reversibly inhibited NMDA-evoked currents mediated via tri-GluN2B/2D NMDARs in outside-out patches from the somata of Golgi cells (−54 ± 8%; n = 7; P < 0.01; washout: −6 ± 12%; n = 5; Fig. 8, B and D), but did not block NMDAR currents in patches from Purkinje cells (7 ± 9%; n = 6; P > 0.05; Fig. 8, C and D). Thus in cerebellar neurons, R-CPP at 0.2 μM blocks tri-GluN2B/2D NMDARs rather than di-GluN2D or di-GluN2B receptors.
If tri-GluN2B/2D NMDARs are involved in I-LTP induction, a low concentration of R-CPP should block I-LTP. Indeed we found that application of 0.2 μM R-CPP during PF stimulation prevented the induction of I-LTP in WT mice (prestimulation 1.1 ± 0.4 Hz; poststimulation 0.8 ± 0.3 Hz; n = 8; P > 0.05; Fig. 9), but did not modify basal GABA release (Fig. 4D). This is consistent with the idea that tri-GluN2B/2D receptors are required to induce I-LTP in stellate cells.
Our results show a low concentration of R-CPP and PPDA can block tri-GluN2B/2D receptors, but they are likely to also inhibit recombinant GluN2A and GluN2C receptors, respectively (Buller and Monaghan 1997; Feng et al. 2004). Because ifenprodil blocked I-LTP in GluN2D KO mice, GluN2A and GluN2C receptors are unlikely to be involved in the induction of I-LTP. The effect of a low concentration of R-CPP on other NMDAR subtypes remains to be determined.
Do I-LTP inhibitors also block somato-dendritic NMDAR currents?
The dendritic model in which activation of dendritic NMDARs is necessary for the induction of presynaptic I-LTP predicts that inhibitors that block I-LTP should also inhibit NMDAR currents in the soma or dendrites. We, therefore, determined the effect of a low concentration of R-CPP on somato-dendritic NMDAR currents in WT mice.
Application of R-CPP at 0.2 μM did not block the NMDAR current in somatic patches from stellate cells (1 ± 4%; n = 5; Fig. 10, A and B). Because a low concentration of R-CPP inhibits NMDA-evoked currents in outside-out patches from cerebellar Golgi cells that express tri-GluN2B/2D receptors, these receptors are unlikely to be present in the somata of stellate cells.
We then stimulated PFs at 100 Hz (4 stimuli) to activate dendritic NMDARs at 33–37°C and found that 0.2 μM R-CPP had no effect on the amplitude of dendritic NMDAR currents (prestimulation 463 ± 85 pA; R-CPP 412 ± 79 pA; n = 5) or total charge transfer (3 ± 3%). The decay time also remained unaltered (prestimulation 219 ± 17 ms; R-CPP 234 ± 22 ms; Fig. 10, C–F). Thus NMDARs that are sensitive to a low concentration of R-CPP, including tri-GluN2B/2D receptors, are absent from the somata and dendrites of stellate cells. The IC50 of R-CPP for NMDAR subtypes may differ between somatic and dendritic receptors, which were activated by application of NMDA and spillover glutamate, respectively. We, therefore, compared the effects of 0.2 μM R-CPP on I-LTP with that on dendritic NMDARs, since in the dendritic model, activation of dendritic NMDARs is responsible for the induction of I-LTP. Because 0.2 μM R-CPP completely prevented the induction of I-LTP, but failed to block dendritic currents (Fig. 9), the tri-GluN2B/2D receptors that are responsible for the induction of I-LTP are unlikely to be located in the somata and dendrites of stellate cells. Consistent with this idea, we found no correlation between the degree of I-LTP and the total charge transfer of the slow component of the dendritic currents recorded at −60 mV during PF stimulation (Fig. 11). The latter is presumably mediated in large part by postsynaptic GluN2D-containing receptors due to their lower Mg2+ blockade compared with GluN2B receptors (Lachamp et al. 2009). These results are not in agreement with the prediction of a model in which activation of dendritic NMDARs induces I-LTP. Therefore, NMDARs located in axons rather than in dendrites are most likely to induce I-LTP.
DISCUSSION
Our results address a fundamental issue concerning synaptic cross talk: what types of presynaptic NMDARs in inhibitory interneurons sense glutamate release and modulate GABA release? We found that tri-GluN2B/2D receptors are responsible for the induction of I-LTP, and these receptors are absent in dendrites. This result indicates that GluN2D-containing NMDARs at the presynaptic terminals sense the low concentration of glutamate that spills over from neighboring excitatory inputs. These receptors thus mediate the cross talk between excitatory and inhibitory transmission.
Which type of NMDARs induce I-LTP?
The subunit composition of NMDARs controls a number of biophysical properties of the channel, as well as their subcellular localization (Cull-Candy et al. 2001; Petralia et al. 2009; Siegler Retchless et al. 2012; Yuan et al. 2009) and, therefore, endows them with different roles in regulating synaptic transmission. Postsynaptic NMDARs that contain GluN2A and GluN2B subunits are important for the induction of long-term plasticity at excitatory synapses (Wyllie et al. 2013). Many GABAergic interneurons express high levels of GluN2D mRNA (Akazawa et al. 1994; Monyer et al. 1994; Thompson et al. 2000). However, the role of GluN2D receptors in inhibitory neurons is not known. GluN2D has a high glutamate binding affinity and, therefore, may detect a low concentration of glumate that has spilled over from nearby excitatory inputs. In vivo studies show that somatosensory stimulation evokes a short burst of action potentials in PF inputs to stellate cells (Chadderton et al. 2004). Our finding that deletion of GluN2D abolished the I-LTP induced by a few trains of PF stimulation reveals that GluN2D receptors are critical for triggering a lasting increase in GABA release from inhibitory interneurons. Using a combined pharmacological and genetic approach, we identify these receptors as tri-GluN2B/2D receptors, and the presence of GluN2D lowers the threshold of induction of I-LTP. This result is in agreement with previous observations that a NMDA-evoked enhancement in mIPSC frequency displayed a low sensitivity to ifenprodil and Mg2+ blockade, a characteristic of tri-GluN2B/2D receptors (Glitsch and Marty 1999; Huang and Gibb 2014; Rossi et al. 2012). Such tri-GluN2B/2D receptors are also present in substantia nigra dopaminergic neurons (Brothwell et al. 2008; Jones and Gibb 2005) and may be involved in the regulation of neurotransmitter release from these cells. Indeed deletion of GluN2D subunits reduces dopamine levels in the prefrontal cortex and hippocampus (Miyamoto et al. 2002) and alters locomotor activity (Hagino et al. 2010). Therefore GluN2D receptors are likely to play a major role in the glutamate-dependent modulation of neurotransmitter release.
Where are the tri-GluN2B/2D receptors located?
We found that a low concentration of R-CPP completely abolished I-LTP, but had no effect on somato-dendritic NMDAR currents. In contrast, ifenprodil partially blocked somato-dendritic NMDARs, but failed to prevent I-LTP. Therefore, activation of dendritic NMDARs is not required for the induction of I-LTP, and thus NMDARs responsible for I-LTP are most likely present in axons. Burst stimulation of PFs can also activate NMDARs in the dendrites (Carter and Regehr 2000; Clark and Cull-Candy 2002; Sun and Liu 2007), producing a sustained depolarization (Carter and Regehr 2000), which activates calcium channels in axons and enhances GABA release from stellate cells (Christie and Jahr 2008; Pugh and Jahr 2011). However, our results do not support the idea that an NMDAR-dependent somato-dendritic depolarization electrotonically spreads to the axon to induce I-LTP. Although NMDARs can act as both metabotropic and ionotropic receptors (Nabavi et al. 2013), we have previously shown that calcium entry via NMDARs is required for the induction of I-LTP (Liu and Lachamp 2006); thus a metabotropic action of somato-dendritic NMDARs is unlikely to trigger I-LTP. Our results suggest that spillover glutamate acts on NMDARs at the presynaptic terminals of GABAergic interneurons to induce I-LTP, which is supported by a variety of other reports. First, glutamate uncaging at axonal locations in stellate cells evoked a calcium transient in the axon terminals via NMDAR activation (Rossi et al. 2012). Second, glutamate release from isolated Purkinje cells induces an NMDAR-dependent increase in GABA release from presynaptic terminals (Duguid et al. 2007). Third, GluN2A/B immunoreactivity is present in basket cell terminals (Petralia et al. 1994) in the cerebellum. Fourth, functional NMDA channel currents with high and low conductance, a characteristic of tri-GluN2B/2D receptors (Brickley et al. 2003; Jones and Gibb 2005), have been detected in the enlarged varicosities of cultured stellate/basket cell axon terminals following NMDA treatment (Fiszman et al. 2005). Thus GluN2D-containing NMDARs at presynaptic sites may modulate GABA release in other neurons, since GluN1 subunits have been found in the axon terminals of other GABAergic interneurons and GluN2D mRNA is present in many inhibitory interneurons (Akazawa et al. 1994; Monyer et al. 1994; Paquet and Smith 2000; Thompson et al. 2000).
Glutamate acts on NMDARs in presynaptic and postsynaptic neurons to regulate GABA release via distinct mechanisms. It is known that glutamate receptors in postsynaptic neurons can trigger the release of retrograde signals that modulate GABA release (Castillo et al. 2011). While a metabotropic glutamate receptor-evoked release of endocannabinoids suppresses GABA release, NMDAR activation promotes an NO-dependent enhancement of GABA secretion (Adermark and Lovinger 2009; Chevaleyre et al. 2007; Chevaleyre and Castillo 2003; Jiang et al. 2010; Marsicano et al. 2002; Nugent et al. 2007). However, I-LTP induction in stellate cells is not induced by retrograde signals, because our laboratory has previously shown that loading postsynaptic stellate cells with BAPTA or the use of NO synthase inhibitors failed to prevent I-LTP (Lachamp et al. 2009). Here we found that tri-GluN2B/2D NMDARs in presynaptic inhibitory interneurons detect the spillover of glutamate and lead to an enhancement of GABA release. The ability to modulate GABA release in the cerebellum is critical for the physiological functioning of this brain region, because an increase in GABA release from stellate/basket cells alters motor coordination and has also been implicated in neurological disorders, such as episodic ataxia (Herson et al. 2003). Our finding that activation of presynaptic tri-GluN2D/2B receptors induces I-LTP opens the possibility for selectively modulating GABA release without affecting plasticity at those excitatory synapses that require postsynaptic NMDARs that contain GluN2A and GluN2B subunits (Wyllie et al. 2013).
GRANTS
This work was supported by National Science Foundation Grant IBN-0344559 and National Institutes of Health Grants NS-58867 and MH-095948 (S. J. Liu).
DISCLOSURES
No conflicts of interest, financial or otherwise, are declared by the author(s).
AUTHOR CONTRIBUTIONS
Author contributions: C.J.D., P.M.L., L.S., and S.J.L. conception and design of research; C.J.D., P.M.L., and L.S. performed experiments; C.J.D., P.M.L., and L.S. analyzed data; C.J.D., P.M.L., L.S., and S.J.L. interpreted results of experiments; C.J.D., P.M.L., and L.S. prepared figures; C.J.D. and S.J.L. drafted manuscript; C.J.D. and S.J.L. edited and revised manuscript; C.J.D., P.M.L., L.S., M.M., and S.J.L. approved final version of manuscript.
ACKNOWLEDGMENTS
We thank Drs. Daniel Monaghan, Matthieu Maroteaux, Iaroslav Savtchouk, Yu Liu, and Matthew Whim for experimental advice and helpful discussions.
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