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Virginia Merrill Bloedel Hearing Research Center, Department of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, Washington
Submitted 2 August 2004; accepted in final form 7 October 2004
| ABSTRACT |
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| INTRODUCTION |
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Functionally similar to bushy cells in mammalian cochlear nucleus, NM neurons respond to the excitatory inputs from the auditory nerve in a phase-locked manner and perform precise temporal encoding (reviewed in Oertel 1999
; Trussell 1999
). This temporal precision is critical in that NM neurons provide the sole excitatory input to nucleus laminaris (NL) neurons, the first nucleus to encode interaural time differences (ITDs) ( Parks and Rubel 1975
; Rubel and Parks 1975
). NL neurons compute ITDs with accuracy on the order of tens of microseconds ( Pena et al. 1996
). The phase-locking fidelity of NM neurons is enhanced, in part, by activation of the GABAergic inputs from the SON ( Monsivais et al. 2000
). An unusual feature of the GABAergic input to NM is that it is depolarizing, due to a high intracellular Cl concentration in NM neurons that persists into maturity ( Hyson et al. 1995
; Lachica et al. 1994
; Lu and Trussell 2001
; Monsivais and Rubel 2001
). Although depolarizing, the GABAergic inputs produce a potent net inhibitory effect by reducing the input resistance and activating a K+ conductance while inactivating Na+ channels in NM neurons ( Monsivais and Rubel 2001
). However, such depolarizing inhibitory inputs to NM may be problematic. The reversal potential of GABAAR-mediated responses in NM neurons is 1020 mV more positive than the action potential (AP) threshold of NM neurons ( Lu and Trussell 2001
; Monsivais and Rubel 2001
). Thus synaptic activation of the GABAergic inputs occasionally evokes APs ( Lu and Trussell 2001
). Since these inputs are unlikely to phase-lock to the auditory inputs ( Lachica et al. 1994
; Yang et al. 1999
), such spurious AP generation may interfere with temporal encoding of acoustic information by NM neurons.
One mechanism reducing the probability of GABA-induced AP generation by NM neurons is the low-voltage-activated (LVA) K+ conductance, which is activated at slightly more positive membrane potentials than the resting membrane potential ( Monsivais and Rubel 2001
). Depolarization-induced LVA K+ conductance can suppress firing due to activation of GABAergic inputs. When the LVA K+ channels are blocked, firing in response to synaptic stimulation of the inhibitory inputs is greatly facilitated ( Monsivais and Rubel 2001
). However, Lu and Trussell (2001)
have indicated that LVA K+ activation does not block all GABA-evoked AP generation. Here we propose a second mechanism that involves GABABRs located on the inhibitory presynaptic terminals. We show that presynaptic GABABRs limit GABA release. We also show that this mechanism is sufficient to suppress the GABA-evoked discharges in NM. Some data included in this study have been presented in abstract form ( Lu et al. 2004
).
| METHODS |
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Brain stem slices (200250 µm thickness) were prepared from E18E21 chicken embryos, as described previously ( Monsivais et al. 2000
; Reyes et al. 1994
). For recording, slices were transferred to a 0.5-ml chamber mounted on a Zeiss Axioskop FS (Zeiss) with a 40x water-immersion objective and infrared, differential interference contrast (DIC) optics. The chamber was continuously superfused with artificial cerebrospinal fluid (ACSF; 23 ml/min) containing (in mM) 130 NaCl, 26 NaH2CO3, 3 KCl, 3 CaCl2, 1 MgCl2, 1.25 NaH2PO4, and 10 dextrose and was constantly gassed with 95% O2-5% CO2 (pH 7.4). Voltage-clamp experiments were performed with an Axopatch 200B amplifier, whereas current-clamp experiments were performed with an Axoclamp 2B amplifier (Axon Instruments, Union City, CA). Recordings were performed at 3436°C.
Patch pipettes were drawn to 1- to 2-µm tip diameter and had resistances between 3 and 7 M
. Pipettes were filled with a solution containing (in mM) 105 K-gluconate, 35 KCl, 5 EGTA, 10 HEPES, 1 MgCl2, 4 ATP-Mg, and 0.3 GTP-Na, pH 7.2 adjusted with KOH, and osmolarity was between 280 and 290 mOsm. For some recordings (n = 4 cells), a Cs-based internal was used, containing (in mM) 105 Cs-methanesulfonate, 35 CsCl, 5 EGTA, 10 HEPES, 1 MgCl2, 4 ATP-Mg, 0.3 GTP-Na, and 5 QX-314, pH 7.2 adjusted with CsOH, and osmolarity was between 280 and 290 mOsm. The Cl concentration (37 mM) in both internal solutions approximated the physiological Cl concentration in NM neurons ( Monsivais and Rubel 2001
). The liquid junction potential was 10 mV for both the K- and Cs-based internal solutions, respectively, and data were corrected accordingly. Data were low-pass filtered at 3 or 5 kHz and digitized with an ITC-16 (Instrutech, Great Neck, NY) at 20 kHz for both on- and off-line analyses. All recording protocols were written and run using the acquisition and analysis software Axograph, version 4.5 (Axon Instruments). Means and SD are reported in the text, and means and SE are shown in figures.
In each voltage-clamp recording, series resistance was compensated by 8090%, and cells were clamped at a membrane potential of 70 mV. Before each synaptic stimulation protocol was applied, a 5 mV hyperpolarizing command (5 ms duration) was given to monitor series resistance and input resistance during the experiment. When measuring the reversal potentials for either evoked or miniature inhibitory postsynaptic currents (eIPSCs or mIPSCs), we changed the membrane potentials from 80 to 0 mV, in steps of 10 or 20 mV. In all experiments, antagonists for ionotropic glutamate receptors (50 µM DNQX and 100 µM AP-5) were included in ACSF, and 1 µM TTX was added when recording mIPSCs. Events of mIPSCs were detected by a threshold method from chart recordings.
All chemicals and drugs were obtained from Sigma (St. Louis, MO) except CGP52432and CGP54626 which were obtained from Tocris (Ballwin, MO). Drugs were bath-applied unless otherwise indicated.
Synaptic stimulation and puff application
Extracellular stimulation was performed using concentric bipolar electrodes (Frederick Haer, Bowdoinham, ME) with a tip diameter of 200 µm. The electrode was placed in the fiber tract dorsal to NM. Square electric pulses of 100- to 300-µs duration were delivered through a stimulus isolator 1850A and an interval generator 1830 (W-P Instruments, New Haven, CT). The stimulus was either a single-pulse or a train of pulses at an intensity of 590 V. Optimal stimulation parameters were selected for each cell to give maximal amplitude of postsynaptic currents or potentials and lowest failure rate.
Puff application of muscimol, a specific GABAAR agonist, was done by using a multi-channel picospritzer (General Valve, Fairfield, NJ). Muscimol (500 µM) was prepared in ACSF containing 50 µM DNQX and 100 µM AP-5. Puff electrodes were prepared using the same pulling methods as producing recording electrodes except that puff electrodes have larger tip diameter (25 µm). The puff electrode was placed to the side and above the cell studied with a distance between the cell and the electrode tip of 50100 µm. Positive pressure (510 psi and duration of 1050 ms) was used to eject the solution (ACSF) containing muscimol.
Data analysis
Peak amplitudes of averaged eIPSCs were measured after normalizing the baseline several milliseconds before the stimulation artifacts. Percent inhibition is defined as 100 x (mean eIPSC amplitude under control condition -mean eIPSC amplitude under drug)/mean eIPSC amplitude under control condition. Failures of evoked currents can be readily detected by visual inspection, and failure rate is defined as 100 x (number of failures)/total number of stimulation pulses. Statistics were performed using Excel (Microsoft, Redmond, WA) and Statview (Abacus Concepts, Berkeley, CA), and graphs were made in Igor (Wavemetrics, Lake Oswego, OR).
| RESULTS |
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eIPSCs were recorded in the presence of ionotropic glutamate receptor (iGluR) blockers (50 µM DNQX and 100 µM AP-5). The amplitude of eIPSCs in response to repeated single-pulse synaptic stimulation varied substantially (Fig. 1A), similar to what has been previously reported ( Lu and Trussell 2000
). Synaptic failures were readily detected by visual inspection. Both eIPSCs and mIPSCs reversed at a potential close to the predicted reversal potential (35 mV) calculated from Nernst equation (data not shown). Furthermore, both the eIPSCs and the mIPSCs were completely eliminated by 20 µM bicuculline (data not shown), a GABAAR antagonist, confirming that the recorded eIPSCs and mIPSCs were mediated by GABAARs.
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Train stimulation (10 Hz, 5 pulses) was used as our standard stimulation protocol to access modulation of GABABRs on GABAAR-mediated responses. Under voltage-clamp configuration, activation of GABAergic inputs to NM by the train stimulation produced individually distinguishable eIPSCs that showed a mix of facilitation and depression, and the pattern was consistent both among individual neurons and across the population (Fig. 1, AC), similar to previous reports ( Lu and Trussell 2000
). Pooled data (n = 23 cells) shown in Fig. 1C revealed the same pattern of facilitation and depression as the sample neuron, independent of occurrence of failures. When failures were included, the mean amplitudes of the eIPSCs in response to the first through the fifth pulse were 188 ± 168, 294 ± 262, 319 ± 213, 374 ± 306, and 311 ± 219 pA, respectively (Fig. 1C, open bars). Note that means and SD are reported in the text, and means and SE are showed in figures. When failures were excluded, the mean amplitudes of the eIPSCs in response to the first through the fifth pulse averaged 43 pA higher but showed the same pattern (Fig. 1C, filled bars). Failure rate varies from cell to cell as well as among different groups of cells. Figure 1D shows the failure rates in response to different pulses of the train stimulation. The data were obtained from all cells from which eIPSCs were recorded. The total failure rate to all pulses averaged 18 ± 17% (n = 23 cells), with a broad range (055%) among individual cells. Therefore failure rates in subsequent figures representing subpopulations of this total failure rate reflect this range with mean control failure rates ranging between 6 and 28%.
To verify that the failures in our eIPSC recordings were failures of transmitter release as opposed to propagation of the stimulated axons, we studied the relationship between extracellular calcium concentration ([Ca2+]o) and the amplitude and failure rate of eIPSCs. This paradigm is often used to indirectly distinguish axonal conduction versus release failures ( Allen and Stevens 1994
; Canepari and Cherubini 1998
; Debanne et al. 1996
; Jiang et al. 2000
). [Ca2+]o and [Mg2+]o were varied, but the total amount of divalent ions was unchanged to keep the axonal excitability the same. Figure 2A shows four averaged traces obtained under standard solution (control condition, 3 mM [Ca2+]o and 1 mM [Mg2+]o) and three other conditions (1 mM [Ca2+]o and 3 mM [Mg2+]o, 2 mM [Ca2+]o and 2 mM [Mg2+]o, and 3.9 mM [Ca2+]o and 0.1 mM [Mg2+]o). At [Ca2+]o of 1 or 2 mM, the eIPSCs were smaller than the ones obtained under standard solution, and at [Ca2+]o of 3.9 mM, the responses were larger, independent of occurrence of failures. For statistical analysis, the average of the peak values of the five eIPSCs under each condition was treated as one data-point for each cell. We calculated the ratio of mean eIPSC of the experimental conditions ([Ca2+]o = 1, 2, and 3.9 mM for n = 6, 3, and 5 cells, respectively) to that of our standard condition ([Ca2+]o = 3 mM). These ratios are shown in Fig. 2B with and without inclusion of failures. ANOVA showed a highly significant trend in both analyses (P < 0.001).
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GABABR activation inhibits eIPSCs
We examined the effects of GABABR agonist and antagonist on GABAAR-mediated responses in NM neurons by recording eIPSCs with the standard 10-Hz 5-pulse train stimulation once every 10 s for 1520 min during which specific GABABR agonist baclofen (10 µM) and antagonist CGP52432(10 µM) were bath-applied. Figure 3A shows six averaged traces from a representative NM neuron obtained under the following conditions: control, 10 µM baclofen, washout of baclofen, 10 µM CGP52432 baclofen plus CGP52432 and 10 µM CGP52432(washout of the 2nd baclofen application). The first baclofen application reduced eIPSCs substantially and caused a high failure rate (not shown in the 2nd trace in Fig. 3A because the trace is an averaged response from 6 raw traces). Figure 3, B and C, provides averaged data from six NM neurons including and excluding failures, respectively. The same trend is seen in each analysis. Baclofen (10 µM) reliably inhibits the eIPSC, and this effect is blocked by the GABABR antagonist CGP52432(10 µM). Comparison of Fig. 3, B and C, indicates that the effects of baclofen on eIPSCs are due to both an increase of failure rate and a decrease in the size of evoked responses. Input resistance, monitored by current responses to a 5-mV hyperpolarizing command (duration of 5 ms) that precedes each stimulation protocol, remained unchanged during the experiment (data not shown).
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Independent of occurrence of failures, the suppressive effect of baclofen on the amplitude of eIPSCs was dose-dependent. When failures were included, at concentrations of 0.1, 1, 10, and 100 µM, baclofen produced average reductions of 31 ± 19 (n = 3 cells), 52 ± 11 (n = 6 cells), 83 ± 10 (n = 6 cells), and 93 ± 5% (n = 4 cells), respectively (Fig. 4A, open bars; ANOVA, P < 0.001). When failures were excluded, the percent reductions were 27 ± 11, 31 ± 19, 66 ± 26, and 91 ± 8%, respectively (Fig. 4A, filled bars; ANOVA, P < 0.001). The IC50 of baclofen was estimated to be at about 1 µM in that baclofen (1 µM) produced
50% inhibition of the eIPSCs. Baclofen (100 µM) induced an almost complete block of the GABAergic transmission, suggesting that GABABR activation has the capability of shutting down nearly completely the inhibitory inputs at NM (Fig. 4C). The effect of baclofen on the total failure rate also showed dose-dependence; the failure rate under control condition was 28 ± 19% (n = 7 cells) and increased to 96 ± 3% at 100 µM baclofen application (Fig. 4BP; ANOVA, < 0.001).
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We used two approaches to examine whether the GABABR-mediated modulation of inhibitory transmission in NM is due to a presynaptic, postsynaptic, or dual mechanism. The first approach evaluated the effect of baclofen on mIPSCs recorded in the presence of TTX (1 µM); modulation of the frequency but not the amplitude of mIPSCs would imply a presynaptic mechanism ( Chen and van den Pol 1998
; Jarolimek and Misgeld 1997
; Kabashima et al. 1997
). As shown in Fig. 5, this is indeed what we observed. Figure 5A shows representative results from one NM neuron, and Fig. 5, B and C, shows group data. Baclofen (10 µM) reliably reduced the frequency of mIPSCs to 24 ± 21% of the control (Fig. 5B; ANOVA, P < 0.001, n = 10 cells), but did not significantly influence the amplitude of mIPSCs; the amplitude of mIPSCs was 157 ± 47, 125 ± 45, and 130 ± 28 pA for control, baclofen, and wash condition, respectively (Fig. 5C; ANOVA, P > 0.05, n = 10 cells). In the presence of GABABR antagonist CGP52432(10 µM), the inhibitory effect of baclofen (10 µM) on the frequency of mIPSCs was blocked (n = 3 cells, data not shown). The normalized frequency of mIPSCs under this condition was 93% of control condition (P > 0.05), confirming that the modulation is mediated by GABABRs. Figure 5, D and E, shows that, although there were fewer mIPSCs during baclofen application, the distribution of mIPSC amplitudes was similar to that under control conditions.
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Effect of GABABR antagonist CGP52432 on mIPSCs
To determine whether there is endogenous presynaptic GABABR activity at the inhibitory terminals in NM in vitro, we examined the effects of bath-applied GABABR antagonist CGP52432(10 µM) on mIPSCs of NM neurons. The frequency of mIPSCs (normalized to control) was 1.13 ± 0.26 and 0.86 ± 0.23 for CGP52432and wash condition, respectively (ANOVA, P > 0.05; n = 7 cells). The amplitude of mIPSCs was 169 ± 62, 186 ± 72, and 181 ± 89 pA for control, CGP52432 and wash condition, respectively (ANOVA, P > 0.05; n = 7 cells). The distributions of the interevent intervals and the amplitude of the mIPSCs during CGP52432application were nearly identical to those under control conditions (Fig. 7, D and E).
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We used the current-clamp configuration to study APs generated by stimulation of GABAergic axons. In the presence of antagonists for iGluRs, we observed GABAAR-mediated APs on the top of evoked inhibitory postsynaptic potentials (eIPSPs) in 13 of 41 (32%) NM neurons (37 mM Cl in recording pipettes) when single-pulse stimulation of the GABAergic inputs was applied. The results of GABABR agonist and antagonists on APs in these cells are shown in Fig. 8. Responses to single-pulse stimulation were tested for all neurons so that our data could be compared with previous studies (see DISCUSSION). Cells that showed GABA-induced APs to single-pulse stimulation also fired spikes in response to train stimulation (10 or 5 Hz; 5 pulses). In contrast, cells that did not fire spikes to single-pulse stimulation also failed to fire spikes to train stimulation (5200 Hz; 520 pulses). Bicuculline (20 µM) completely eliminated both the eIPSPs and APs, confirming that the response is mediated by GABAARs (data not shown). In cells that showed occasional AP generation to stimulation of GABAergic inputs, we tested the effects of GABABR agonist (baclofen) and antagonists (CGP52432and CGP54626 on the firing probability in response to single-pulse or train stimulation. In four cells where GABAAR-mediated APs were seen (37 mM Cl in recording pipettes), baclofen (10 µM for 3 cells and 100 µM for 1 cell) reduced the amplitude of eIPSPs and completely eliminated APs (Fig. 8C, open circles). The firing due to activation of GABAARs recovered at least partially after washout of baclofen (Fig. 8A).
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We measured several basic parameters of GABA-induced APs in NM neurons prior to and after baclofen application, including resting membrane potential (RMP), latency (the time period between the onset of the stimulus and the onset of the response), AP threshold, AP height (difference between the threshold and the peak value), and AP half-width (duration at one-half AP height). No significant differences were detected in these parameters between the APs recorded after washout of baclofen and APs under control condition except latency (Table 1). Baclofen (10 µM) did not change the response latency of eIPSCs (data not shown), so the reason for longer latencies of APs recorded after washout of baclofen is not clear.
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The effects of baclofen and CGP52432on firing rate are not due to a change in excitability of NM neurons because neither baclofen (10 µM) nor CGP52432(10 µM) altered the excitability of NM neurons. This conclusion is based on experiments in which a series of brief current commands (0.21.2 nA with increments of 0.05 nA and 2 ms in duration) were applied to NM neurons before and during drug application (10 repetitions of the current injection protocol under each condition). We plotted AP probability against amplitude of injected currents to measure the threshold current. The threshold current, defined as the current needed to elicit APs at a probability of 50% and used as a measurement of neuronal excitability, was 0.961 ± 0.205 and 0.932 ± 0.086 nA for control and bath application of CGP52432 respectively (P > 0.05, n = 3 cells), and RMPs under these two conditions were 71.0 ± 2.7 and 70.8 ± 1.9 mV, respectively (P > 0.05). The threshold current for control and baclofen-treated neurons was 0.817 ± 0.195 and 0.819 ± 0.295 nA, respectively (P > 0.05, n = 4 cells), and the RMPs under these two conditions were 69.7 ± 3.2 and 69.0 ± 5.0 mV, respectively (P > 0.05).
| DISCUSSION |
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Mechanism for modulation of GABA release by GABABRs at NM
GABABRs modulate GABA release at NM via a presynaptic mechanism. This conclusion is based on the following observations: 1) GABABR agonist baclofen increased the failure rate of eIPSCs in a dose-dependent manner, indicating a presynaptic action of baclofen ( Harrison 1990
; Ulrich and Huguenard 1996
); 2) baclofen decreased the frequency but not the amplitude of mIPSCs, indicating a modulation of the probability of GABA release ( Chen and van den Pol 1998
; Jarolimek and Misgeld 1997
; Kabashima et al. 1997
); and 3) baclofen at its saturating concentration did not affect postsynaptic currents when postsynaptic GABAARs were activated by puff application of a specific GABAAR agonist muscimol, indicating that postsynaptic GABAARs are not modulated by GABABRs ( Chen and van den Pol 1998
). Muscimol at high concentrations has been found to be able to activate GABABRs in rat medial nucleus of the trapezoid body (MNTB) neurons with an EC50 of 25 µM when bath-applied ( Yamauchi et al. 2000
). Although we cannot rule out the possibility that brief puff-applied muscimol (500 µM, pressure of 510 psi, and duration of 1050 ms) activated GABABRs in NM neurons, and consequently, the observation that baclofen did not modulate muscimol-induced currents was because GABABRs were already activated, we want to stress two points. First, when puff-applied, the effective drug concentration is influenced by many factors, including the positive pressure applied, the duration of the application, size and shape of the puff electrodes, distance between the puff electrode tip and the recorded neuron, and the location and abundance of receptors on the neuronal membrane ( Marchand and Pearlstein 1995
). Hence, the precise drug concentration is hard to determine and is generally smaller than the concentration in the puff pipettes. Kungel and Friauf (1997)
reported that a 1,000-fold higher concentration relative to bath application is needed when puff-applying glycine to MNTB neurons to elicit glycine receptor responses. Second, muscimol-induced currents in NM neurons were sensitive (91%) to specific GABAAR agonist bicuculline. The bicuculline-resistant components (9%) are unlikely due to activation of GABABRs because activation of GABABRs by baclofen (100 µM) does not elicit any noticeable change in membrane potential of NM neurons ( Hyson et al. 1995
). Therefore activity of GABABRs by muscimol in our case, if any, was likely to be low.
Effects of baclofen on postsynaptic neurons are heterogeneous. Baclofen hyperpolarizes a variety of neurons in the CNS by activating K+ channels (reviewed in Misgeld et al. 1995
), but does not hyperpolarize the membrane potential in many other central neurons (e.g., Misgeld et al. 1989
; Newberry and Nicoll 1984
; Stevens et al. 1985
, 1999
). In NM, neither the membrane potential nor the input resistance of NM neurons is changed by puff application of 100 µM baclofen ( Hyson et al. 1995
) or bath application of 1100 µM baclofen (this study; data not shown), indicating that postsynaptic GABABRs might not be involved in modulation of postsynaptic K+ channels in NM neurons. This result also indirectly implies that GABABRs modulate GABAergic transmission at NM via a presynaptic mechanism.
Lack of endogenous presynaptic GABABR activity at NM in slice
GABABRs are expressed on presynaptic terminals of many synapses including GABAergic terminals themselves (reviewed in Calver et al. 2002
; Misgeld et al. 1995
). While agonists of GABABRs show dramatic modulatory capability on transmitter release at synapses where GABABRs are present, it is unknown under what physiological conditions the receptors are activated (reviewed in Bowery 1993
; Misgeld et al. 1995
). In theory, endogenous GABABR activity should be detectable at the terminals that release GABA and where GABABRs function as autoreceptors modulating the transmission. Thus an increase in spontaneous GABAAR-mediated activity in the postsynaptic cells is expected when GABABRs are blocked. This has been observed in some cases (e.g., Kabashima et al. 1997
; Le Feuvre et al. 1997
; Lei and McBain 2002
; Stevens et al. 1999
) but not in others (reviewed in Misgeld et al. 1995
). We also did not observe endogenous GABABR activity in the presynaptic inhibitory terminals in the brain stem slice preparation.
Probability of GABA-induced firing in NM neurons compared with previous studies
Monsivais and Rubel (2001)
observed firing of NM neurons in response to synaptic activation of GABAergic inputs only if the LVA K+ channels were blocked, whereas we observed firing in 32% neurons without blocking the LVA K+ channels. The discrepancy is likely due to two factors: recording temperature and external Ca2+ concentration. While their recordings were done at room temperature (2223°C), we recorded at higher temperature (3436°C), which would change the kinetics of eIPSPs. At higher temperature, eIPSPs rise faster, and thus subthreshold inactivation of Na+ channels is reduced, enhancing the probability of firing. The second factor is that, while they included 2 mM Ca2+ in the external solution, we used 3 mM extracellular Ca2+, which would enhance transmitter release ( Katz and Miledi 1968
; Fig. 2 in this study). Our use of 3 mM Ca2+ is based on ion composition analysis done on the chick cerebrospinal fluid ( Maki et al. 1990
) and previous studies done on the same preparations (e.g., Hackett et al. 1982
; Lu and Trussell 2000
, 2001
).
The percentage of neurons with GABAAR-mediated APs under our condition (13 of 41 neurons; 32%) is smaller than what was reported by Lu and Trussell (2001)
(11 of 20 neurons; 55%). This is likely due to the difference in the Cl concentrations used in the recording solutions and thus different reversal potentials for Cl channels; Lu and Trussell (2001)
used 60 and 153 mM Cl in their intracellular and extracellular solutions, respectively; ours were 37 and 139 mM, respectively. The calculated reversal potential for Cl channels in our hands is 35 mV, about 10 mV more positive than the AP threshold ( Monsivais and Rubel 2001
), and the calculated reversal potential for the same type channels by Lu and Trussell (2001)
is 25 mV, 20 mV more positive than the AP threshold. Therefore in our preparation, the Cl driving force (difference between membrane potential and reversal potential) is lower for the GABAAR-mediated depolarization (assuming the same resting membrane potentials for NM neurons), compared with Lu and Trussell (2001)
. This is confirmed by our observation that when we increased Cl concentration in the internal solution to 55 (n = 6 cells) or 60 mM (n = 2 cells), GABA-induced APs in response to single-pulse stimulation were seen in four of eight NM neurons (50%, data not shown).
Functional significance
Avian auditory nerve axons bifurcate as they enter the brain stem to innervate NM and nucleus angularis (NA). Phase-locking NM neurons provide the sole excitatory input bilaterally to nucleus laminaris (NL). SON neurons are driven primarily by inputs from NA as well as NL, and in turn, feed back intensity-dependent GABAergic inhibition to NA, NL, and NM (Burger et al. 2004). Thus NM receives input from only a few sources, large endbulb type excitatory inputs from eighth nerve fibers and GABAergic input arising primarily from SON (Burger et al. 2004; Lachica et al. 1994
; Parks and Rubel 1975
; Rubel and Parks 1975
; Yang et al. 1999
). Despite the apparent simplicity conferred by the small number of inputs to NM, a growing body of evidence suggests a rich intercellular signaling milieu, where several mechanisms converge to enhance temporal processing for sound localization. The presence of presynaptic GABABRs on the inhibitory terminals adds to this complexity and contributes to the well-characterized function of these neurons. This discovery follows several previous studies that reveal various mechanisms by which the GABAergic input to NM influences its role in temporal processing.
First, GABAergic input to NM directly controls glutamate release at the excitatory terminals. Presynaptic GABABRs restrict eighth nerve vesicle release such that the pool of available vesicles is retained during high-frequency firing ( Brenowitz et al. 1998
; Otis and Trussell 1996
). This functions to preserve the efficacy of the synapse over a range of input rates. In a subsequent study, Brenowitz and Trussell (2001)
showed that this control of glutamate release improves reliability of the eighth nerve signaling by preventing glutamate receptor desensitization at NM synapses.
Second, Monsivais and colleagues, in this laboratory ( Monsivais and Rubel 2001
; Monsivais et al. 2000
), showed the efficacy of the unusual depolarizing property of GABAergic inputs in suppressing responses to the large excitatory inputs from auditory nerve fibers by activating a large LVA K+ conductance and simultaneously inactivating voltage-gated Na+ channels. Thus the depolarizing influence of GABA postsynaptically in NM preserves and even enhances the remarkable temporal integration properties of the NM cell membrane when the SON input is activated.
Finally, a complimentary series of studies by Lu and Trussell (2000
, 2001
) showed that the GABAergic terminals in NM prominently display Ca2+-dependent asynchronous release during high stimulation rates, resulting in long depolarized plateaus in NM via postsynaptic GABAARs. Paradoxically, these depolarizing GABAergic inputs were shown to occasionally evoke spikes in NM. These spikes, should they occur in vivo, would almost certainly be temporally uncorrelated with the stimulus and reduce the ability of NM to provide phase-locked input to NL.
Here we show an additional site of GABA-dependent signaling that is sufficient to prevent GABA-evoked spiking. Firing of NM neurons in response to stimulation of GABAergic inputs was completely eliminated during application of GABABR agonist baclofen, indicating that modulation of GABA release by presynaptic GABABRs is sufficient to suppress GABA-induced firing in NM neurons that may interfere with the critical temporal fidelity of NM output.
Within the relatively simple synaptic architecture of this "relay" nucleus, this and previous studies reveal a rich interplay between a highly efficacious excitatory input and an unusual depolarizing and potent inhibition. These inputs converge and interact through ionotropic and metabotropic receptors on both pre- and postsynaptic elements. Each input is thus highly regulated to enhance the temporal coding properties of NM output. This study contributes to this view by revealing a previously unknown mechanism by which the crucial but potentially disruptive GABA-induced depolarization is regulated.
| GRANTS |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Address for reprint requests and other correspondence: E. W Rubel, Virginia Merrill Bloedel Hearing Research Center, Dept. of Otolaryngology-HNS, Univ. of Washington, Seattle, WA (E-mail: rubel{at}u.washington.edu)
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