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J Neurophysiol 88: 3097-3107, 2002; doi:10.1152/jn.00026.2002
0022-3077/02 $5.00
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J Neurophysiol (December 1, 2002). 10.1152/jn.00026.2002
Submitted on 14 January 2002
Accepted on 5 August 2002

Development of GABAA Receptor-Mediated Inhibitory Postsynaptic Currents in Hippocampus

Matthew I. Banks, Jason B. Hardie, and Robert A. Pearce

Department of Anesthesiology and Neuroscience Training Program, University of Wisconsin, Madison, Wisconsin 53706


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Banks, Matthew I., Jason B. Hardie, and Robert A. Pearce. Development of GABAA Receptor-Mediated Inhibitory Postsynaptic Currents in Hippocampus. J. Neurophysiol. 88: 3097-3107, 2002. Hippocampal CA1 pyramidal cells receive two kinetic classes of GABAA receptor-mediated inhibition: slow dendritic inhibitory postsynaptic currents (GABAA,slow IPSCs) and fast perisomatic (GABAA,fast) IPSCs. These two classes of IPSCs are likely generated by two distinct groups of interneurons, and we have previously shown that the kinetics of the IPSCs have important functional consequences for generating synchronous firing patterns. Here, we studied developmental changes in the properties of GABAA,fast and GABAA,slow spontaneous, miniature, and evoked IPSCs (sIPSCs, mIPSCs, and eIPSCs, respectively) using whole cell voltage-clamp recordings in brain slices from animals aged P10-P35. We found that the rate of GABAA,slow sIPSCs increased by over 70-fold between P11 and P35 (from 0.0017 to 0.12 s-1). Over this same age range, we observed a >3.5-fold increase in the maximal amplitude of GABAA,slow eIPSCs evoked by stratum lacunosum-moleculare (SL-M) stimuli. However, the rate and amplitude of GABAA,slow mIPSCs remained unchanged between P10 and P30, suggesting that the properties of GABAA,slow synapses remained stable over this age range, and that the increase in sIPSC rate and in eIPSC amplitude was due to increased excitability or excitation of GABAA,slow interneurons. This hypothesis was tested using bath application of norepinephrine (NE), which we found at low concentrations (1 µM) selectively increased the rate of GABAA,slow sIPSCs while leaving GABAA,fast sIPSCs unchanged. This effect was observed in animals as young as P13 and was blocked by coapplication of tetrodotoxin, suggesting that NE was acting to increase the spontaneous firing rate of GABAA,slow interneurons and consistent with our hypothesis that developmental changes in GABAA,slow IPSCs are due to changes in presynaptic excitability. In contrast to the changes we observed in GABAA,slow IPSCs, the properties of GABAA,fast sIPSCs remained largely constant between P11 and P35, whereas the rate, amplitude, and kinetics of GABAA,fast mIPSCs showed significant changes between P10 and P30, suggesting counterbalancing changes in action potential-dependent GABAA,fast sIPSCs. These observations suggest differential developmental regulation of the firing properties of GABAA,fast and GABAA,slow interneurons in CA1 between P10 and P35.


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Inhibitory circuitry in the hippocampus and neocortex undergoes several types of transitions during postnatal development. The polarity of GABAA receptor-mediated inhibition changes from depolarizing in neonates to hyperpolarizing in juvenile (>P7) and adult animals (Cherubini et al. 1991; Zhang et al. 1991). Changes in synaptic density accompany synaptogenesis and synaptic pruning (Ben-Ari et al. 1990; Blue and Parnavelas 1983). Receptor subunit composition changes (Killisch et al. 1991; Laurie et al. 1992) with concomitant changes in receptor kinetics (Hutcheon et al. 2000), inhibitory postsynaptic current (IPSC) kinetics (Hollrigel and Soltesz 1997; Otis and Mody 1992; Taketo and Yoshioka 2000), and pharmacology (Kapur and Macdonald 1999; Rovira and Ben Ari 1993). These developmental transitions could result in changes in the functional capabilities of inhibitory networks. For example, modeling and experimental studies have demonstrated the importance of IPSC properties for generating synchronized network activity in cortical circuits and temporal integration in cortical pyramidal cells (Pouille and Scanziani 2001; Traub et al. 1996; Wang and Buzsaki 1996; White et al. 1998, 2000).

In the CA1 region of the rodent hippocampus, pyramidal cells receive input from multiple classes of GABAergic interneurons. We have shown previously that pyramidal cell dendrites are targeted by GABAergic synapses, generating IPSCs with kinetics and pharmacology that are distinct from perisomatic IPSCs. Dendritic GABAA,slow IPSCs have rise and decay times that are severalfold slower than perisomatic GABAA,fast IPSCs, but the interneurons generating these IPSCs have yet to be identified. We have also observed GABAA,slow spontaneous IPSCs (sIPSCs) in CA1 pyramidal cells, in contrast to several other studies in which sIPSC kinetics were reported to be uniformly fast (Mody et al. 1991; Ropert et al. 1990). Although one likely explanation for this discrepancy is that GABAA,slow sIPSCs occur infrequently, we investigated whether delayed development of GABAA,slow inhibitory circuitry may preclude the observation of these IPSCs in the young animals frequently used in patch-clamp studies of IPSCs in CA1. We show here that the frequency of spontaneous and the amplitude of GABAA,slow evoked IPSCs (eIPSCs) increases substantially between 11 and 35 days postnatal. Low concentrations of norepinephrine (NE) increased the rate of GABAA,slow sIPSCs even at age P13, suggesting that GABAA,slow interneurons become increasingly excitable over the first several postnatal weeks. The results underscore the importance of using developmentally mature animals in studies of dendritic inhibition in CA1.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Preparation of slices

Rats aged 10-35 days were decapitated under halothane anesthesia, and slices (400-500 µm) were obtained using standard techniques (Banks et al. 1998). Slices were held submerged at 35°C for 1 h before transfer to the recording chamber, which was perfused at 3 ml/min with artificial cerebrospinal fluid (ACSF; in mM): 127 NaCl, 1.2 KH2PO4, 1.9 KCl, 26 NaHCO3, 2.2 CaCl2, 1.4 MgSO4, and 10 glucose, saturated with 95% O2-5%CO2.

Patch-clamp electrophysiology

Putative pyramidal cells in the stratum pyramidale of CA1 were visualized using a video camera (VE-1000, DAGE MTI, Michigan City, IN) connected to an upright microscope (BX-50WI, Olympus America, Melville, NY) equipped with an infrared band-pass filter (775 ± 75 nm), a long working-distance water-immersion objective (40×, NA 0.8), and differential interference contrast optics. The microscope and recording pipette were positioned using an integrated motorized control system (Luigs and Neumann, Ratingen, Germany).

Whole cell recordings were obtained at room temperature (24°C), using an Axopatch 200B (Axon Instruments, Union City, CA) patch-clamp amplifier. All data were collected using pClamp software (Axon Instruments). Data were filtered at 2-5 kHz, sampled at 5-10 kHz (Digidata 1200, Axon Instruments), and stored on a Pentium-based PC. Patch pipettes were fabricated from borosilicate glass (KG-33, 1.7 mm OD, 1.1 mm ID, Garner Glass, Claremont, CA) using a Flaming-Brown two-stage puller (P-87, Sutter Instruments, Novato, CA), coated with Sylgard (Dow Corning) to reduce electrode capacitance, and fire polished. Tight-seal whole cell recordings were obtained using standard techniques (Edwards et al. 1989; Hamill et al. 1981). Patch pipettes had open-tip resistances of 2-4 MOmega when filled with the recording solution [composition (in mM): 140 CsCl, 10 Na-HEPES, 10 EGTA, 2 MgATP, and 5 QX-314, pH 7.3]. Access resistances were typically 10-20 MOmega and were then compensated 60-80%. Cells were held at -60 mV. Data collection commenced >= 5 and usually 10 min after obtaining whole cell access to ensure that the 6-cyano-7-nitroquinoxaline-2,3-dione (CNQX) and 2-amino-5-phosphonovaleric acid (APV) had sufficient time to have a maximal effect and that the cell was fully chloride loaded. Evoked and spontaneous GABAA IPSCS were isolated by bath application of 20 µM CNQX and 40 µM APV to block alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) and N-methyl-D-aspartate (NMDA)-mediated currents, and by the inclusion of CsCl and QX-314 in the patch pipette to block GABAB-mediated currents. Although CNQX has been shown to increase the rate of sIPCSs in other studies, (Brickley et al. 2001; McBain et al. 1992), we did not observe a significant effect on the rate of sIPSCs under our experimental conditions for either GABAA,fast or GABAA,slow IPSCs (fast: control 2.9 ± 0.7 s-1, CNQX and APV 2.8 ± 0.6 s-1; slow: control 0.02 ± 0.01 s-1, CNQX and APV 0.02 ± 0.01 s-1; n = 6 cells, age = 19 ± 4 days).

In each cell, sIPSCs and miniature IPSCs (mIPSCs) were recorded for variable periods of time. For sIPSCs, the recording periods lasted from approximately 20 to >1000 s (mean, >180 s), but in only four cells did the recordings last <60 s. In most cases, when the recordings were brief, it was because we were concentrating on recording eIPSCs, and not because the recordings, which typically lasted >30 min, were unstable. For mIPSCs, the recording periods lasted from 30 to >800 s; only one cell was recorded for <60 s and the average was >360 s. Miniature GABAA,slow IPSCs were rare, with only about one such event recorded in each cell on average, and caution is warranted in quantitative analyses of such small numbers of events. However, the main purpose of recording mIPSCs was to determine whether we observed an age dependence of rate similar to what was observed for sIPSCs. Because the latter difference was >70-fold between P11 and P35, we are confident that even small numbers of events would enable us to observe such a large change in mIPSC rate.

Stimuli (10-100 µA) were applied to stratum lacunosum-moleculare (SL-M) to evoke GABAA,slow. A maximum stimulation rate of 0.05 Hz was used to minimize the previously observed rundown of GABAA,slow over time (Pearce 1993). Glass patch pipettes filled with ACSF were used as stimulating electrodes and were consistently placed at approximately 50 µm on the SL-M side of the hippocampal fissure, approximately 100 µm deep in the tissue and at the same mediolateral position in CA1 as the apical dendrite of the cell being studied. In animals aged P30 or older, this stimulus evoked GABAA,slow IPSCs in >90% of all cells tested. [Note, however, that only data from cells in which a full dose-response curve was obtained are included in Fig. 4; the number of cells in which we observed an SL-M-evoked GABAA,slow IPSC was far greater (n > 100 cells).] In those cells in which no evoked GABAA,slow IPSCs were observed, the electrode was repositioned within the SL-M until a response could be elicited or (more typically) a region of about 100 µm ×100 µm in the SL-M had been searched to no avail. In all cases, maximal currents were determined by varying stimulus intensity until the response amplitude no longer increased. NE was mixed up fresh daily and was protected from light and air to minimize degradation before its use. All drugs were bath applied and were obtained from Sigma-Aldrich Chemicals.

Data analysis

Data were analyzed on a Pentium-based PC using ClampFit (Axon Instruments), Origin (OriginLab, Northampton, MA), and StatMost (Dataxiom Software, Los Angeles, CA). Spontaneous events were analyzed using an automated event detection algorithm (Banks et al. 1998). In this algorithm, two windows were moved along the data, a "peak" window and a "baseline" window. At each time point, the data within the each window was averaged and the baseline average subtracted from peak average. This yielded a "pseudo-differentiated" form of the data that was characterized by large, rapid peaks at the onset of GABAA,fast IPSCs, and slower, smaller peaks at the onset of GABAA,slow IPSCs. Threshold-level crossings were determined from this pseudo-differentiated data, with threshold set as 3*sigma Noise, where sigma Noise was measured during periods of no visually detectable events and was typically 2-4 pA. Because the baseline value was constantly updated during the analysis, slow changes in baseline had no effect on the algorithm's accuracy. This algorithm successfully detected >99% of sIPSCs and mIPSCs.

Evoked GABAA,slow IPSCs were well fit with the sum of single rising and decaying exponential components. Although GABAA,fast IPSCs decayed biexponentially (Banks et al. 1998), for simplicity, the decay was characterized using the weighted sum of these two exponential components (tau Decay,wt). Spontaneous GABAA,slow IPSCs were defined as those events having 10-90% rise times >4 ms and decay times >40 ms. Individual sIPSCs were selected for averaging and exponential curve fitting when no other detected events occurred within ±100 ms (GABAA,fast) or ±250 ms (GABAA,slow) of the peak.

Developmental changes in IPSC parameters were detected either by grouping data into age ranges and applying paired t-tests or by linear regression analysis of the unbinned data as a function of age. Correlation coefficients (r) and P values cited are from regression fits. All data are presented as mean ± SE.


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

sIPSCs

sIPSCs were recorded under whole cell voltage clamp from 76 putative CA1 pyramidal cells in slices taken from animals ranging in age from P11 to P35 (Fig. 1). These events represent a combination of action potential (AP)-dependent and AP-independent sIPSCs. For analysis purposes, the data were grouped into five age ranges: P11-P15, P16-P20, ... , P31-P35. In all cases, sIPSCs were recorded in the presence of ionotropic glutamate receptor antagonists, and the remaining activity was blocked entirely by 10 µM bicuculline methiodide (n = 12; data not shown), indicating that the recorded synaptic currents were isolated GABAA receptor-mediated IPSCs. The kinetics of each spontaneous event was analyzed and GABAA,slow IPSCs were identified based on rise and decay times (Fig. 1, B and D; see METHODS).



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Fig. 1. Kinetic analysis of GABAA spontaneous inhibitory postsynaptic currents (sIPSCs). A and C: continuous recordings of GABAA sIPSCs obtained under whole cell voltage clamp from CA1 pyramidal cells in slices taken from animals aged P14 (A) and P33 (C). *GABAA,slow sIPSCs. B and D: plots of 63% decay time (tau Decay) vs. 10-90% rise time (tau Rise) for (B) the ~500 events recorded from the cell in A and for (D) the 1st 500 events recorded from the cell in C. Note the appearance in D of a 2nd population of slowly rising, slowly decaying sIPSCs classified as GABAA,slow sIPSCs and that no such population of events appears in B.

The frequency of GABAA,slow sIPSCs changed dramatically between P11 and P35, increasing over 70-fold in this age range (Table 1; Figs. 1 and 2A). (It should be noted, however, that at any age, GABAA,slow sIPSCs are rare, occurring at rates <1 s-1). Between P11 and P13, no GABAA,slow IPSCs were observed (n = 16 cells), and only 2 of 17 cells from animals aged P14 and P15 exhibited GABAA,slow sIPSCs. A linear regression of the unbinned data yielded a correlation of r = 0.63 (P < 0.001). Amplitude, rise, and decay kinetics of GABAA,slow sIPSCs were unchanged as a function of age (Table 1; Fig. 2, B-D; r < 0.2, P > 0.25 for all 3 parameters).


                              
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Table 1. Properties of GABAA,slow sIPSCs



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Fig. 2. Development of GABAA,slow sIPSCs. Plots of mean rate (A), mean peak amplitude (B), mean tau Rise (C), and mean tau Decay (D) for all GABAA,slow sIPSCs recorded in each cell as a function of the age of the animal. Each open circle represents the data from 1 cell. Each closed circle is the mean of means binned according to age (P11-P15, P16-P20, ... , P31-P35). Dashed line in A is the linear regression fit to the unbinned data. Slopes of regression lines in B-D were not significantly different from 0. Note the increase in average mean rate and its variability with age.

In contrast to the observed increase in the frequency of GABAA,slow sIPSCs, the rate of GABAA,fast sIPSCs exhibited no consistent change with age (Table 2; Fig. 3A; r = 0.018; P > 0.8). The amplitude of GABAA,fast sIPSCs exhibited a weak but significant correlation with age (Table 2; Fig. 3B; r = 0.25, P < 0.05). The faster component of the biexponential decay exhibited a significant decrease with age (Table 2; r = -0.40, P < 0.0005), as did the amplitude of this fast component (Table 2; r = -0.50, P < 0.0001), but the weighted decay time constant tau Wt did not change with age (Table 2; Fig. 3C; r = 0.17, P = 0.16). There was no significant correlation between GABAA,fast and GABAA,slow sIPSC rate (data not shown), indicating that the change in GABAA,slow sIPSC rate as a function of age represented a delay in the development of the GABAA,slow circuit in CA1.


                              
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Table 2. Properties of GABAA,fast sIPSCs



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Fig. 3. Development of GABAA,fast sIPSCs. Plots of mean rate (A), mean peak amplitude (B), and mean weighted decay time constant (tau Wt, C) for all GABAA,fast sIPSCs recorded in each cell as a function of the age of the animal. Each open square represents the data from 1 cell. Each closed square is the mean of means binned according to age (P11-P15, P16-P20, ... , P31-P35). Dashed line in B is the linear regression fit to the unbinned data. Slopes of regression lines in A and C were not significantly different from 0.

SL-M-evoked IPSCs

There are several possible explanations for the increase in the rate of GABAA,slow sIPSCs with age. One possibility is that the GABAA,slow synapses are not functional in younger animals, either because synaptic contacts are not established yet or because the postsynaptic receptors are not clustered in apposition to the synaptic contacts. A second possibility is that the synapses are present and functional, but the kinetics of the IPSCs are faster at birth and progressively become slower over the first postnatal month. The time course of IPSCs depends on receptor subunit composition (Tia et al. 1996), and it is known that the expression pattern of GABAA receptor subunits changes over the first few postnatal weeks (Killisch et al. 1991; Laurie et al. 1992). Finally, it is possible that the synapses are functional and mature, but the interneurons generating GABAA,slow IPSCs in young animals exhibit less spontaneous activity. This scenario could arise if there is a developmental change in the expression of voltage-gated channels or in other membrane properties in the presynaptic cells.

We tested whether GABAA,slow synapses were functional in young animals by investigating whether the properties of electrically evoked GABAA,slow IPSCs changed with age. Synaptic currents were evoked in the presence of ionotropic glutamate receptor antagonists and thus represented monosynaptic GABAA receptor-mediated IPSCs. IPSCs evoked by stimulation in SL-M were recorded in 32 putative CA1 pyramidal cells (10 of which were also used for the spontaneous recordings described above).

We observed that even in P11 animals, SL-M stimuli could elicit a response with the kinetics of GABAA,slow IPSCs (Fig. 4). Similar to the change in sIPSC rate, however, we observed a significant increase in peak response amplitude as a function of age (r = 0.54, P < 0.005; Fig. 4C). Mean peak GABAA,slow IPSC amplitude was 202 ± 39 pA at P11-P15, and 718 ± 226 at P31-P35. These data indicate that at least some GABAA,slow synapses are present and functional at P11, and that the receptors at these synapses have kinetics similar to receptors at mature synapses. This suggests that the observed change in sIPSC rate is due to either a change in interneuron excitability or an increase in the number of GABAA,slow synapses as a function of age.



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Fig. 4. Development of GABAA,slow evoked IPSCs (eIPSCs). A and B: stratum lacunosum-moleculare (SL-M)-evoked GABAA,slow IPSCs recorded in a CA1 pyramidal cell from a P14 (A) and a P30 (B) animal. C: plot of maximum peak amplitude for GABAA,slow eIPSCs recorded in each cell in which a full stimulus-response curve was obtained, as a function of the age of the animal. Each open circle represents the data from 1 cell. Each closed circle is the mean of means binned according to age (P11-P15, P16-P20, ... , P31-P36). Dashed line is the linear regression fit to the unbinned data.

mIPSCs

If the number of GABAA,slow synapses increases as a function of age, then it is likely that we would see this development manifested in the responses to spontaneously released vesicles at these synapses. Assuming that the spontaneous release properties of individual synapses are the same at different ages, as more synapses become functional the number of spontaneous vesicular fusions will increase and thus the number of AP-independent sIPSCs (mIPSCs) will increase as well. We recorded mIPSCs using 1 µM tetrodotoxin (TTX) to block all AP firing in the slice. Other than the TTX, recording conditions and data analysis were identical to those used while recording sIPSCs. Recordings were made from 57 CA1 pyramidal cells from animals between the ages of P10 and P30.

At all ages, GABAA,slow mIPSCs were very rare, occurring on average at rates of about 0.005 s-1. In contrast to the observed change in frequency of GABAA,slow sIPSCs with age, we found no change in the frequency of GABAA,slow mIPSCs as a function of age (Table 3; Fig. 5A). We also observed no change in amplitude or kinetics as a function of age (Table 3; Fig. 5, B-D). These data are consistent with the hypothesis that GABAA,slow synapses are fully mature even at P10, and that the developmental changes observed in spontaneous and evoked GABAA,slow IPSCs are due to changes in the membrane properties of the interneurons mediating GABAA,slow. However, we cannot exclude a contribution from a developmental increase in the number of functional GABAA,slow synapses on CA1 pyramidal cells, if this increase is accompanied by a concomitant decrease in the rate of spontaneous vesicular fusion averaged across the population of GABAA,slow synapses.


                              
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Table 3. Properties of GABAA,slow mIPSCs



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Fig. 5. Development of GABAA,slow miniature IPSCs (mIPSCs). Plots of mean rate (A), mean peak amplitude (B), mean tau Rise (C), and mean tau Decay (D) for all GABAA,slow mIPSCs recorded in each cell as a function of the age of the animal. Each open circle represents the data from 1 cell. Each closed circle is the mean of means binned according to age (P10-P15, P16-P20, ... , P26-P30). Note that there was no detectable change in any parameter as a function of age.

Interestingly, GABAA,fast synapses did manifest evidence of developmental changes with age: the rate of GABAA,fast mIPSCs increased 175% (Table 4; Fig. 6A; r = 0.46, P < 0.0005), mean peak amplitude decreased by 40% (Table 4; Fig. 6B; r = -0.36, P < 0.01), and the weighted decay time constant decreased by 33% (Table 4; Fig. 6C; r = -0.49, P < 0.0005). The decrease in decay time constant was driven by decreases in both time constants of the biexponential fit to the decay (Table 4; tau 1: r = -0.31, P < 0.05; tau 2: r = -0.42, P < 0.005). No change was observed in the amplitudes of either component.


                              
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Table 4. Properties of GABAA,fast mIPSCs



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Fig. 6. Development of GABAA,fast mIPSCs. Plots of mean rate (A), mean peak amplitude (B), and mean weighted decay time constant (tau Wt, C) for all GABAA,fast mIPSCs recorded in each cell as a function of the age of the animal. Each open square represents the data from 1 cell. Each closed square is the mean of means binned according to age (P10-P15, P16-P20, ... , P26-P30). Dashed lines are the linear regression fits to the unbinned data.

Selective effects of NE on GABAA,slow sIPSCs

Our data suggest that changes in the excitability of GABAA,slow interneurons contribute to the developmental changes we observed in GABAA,slow IPSCs. In this scenario, synapses are mature and the absence of GABAA,slow sIPSCs is due to limited spontaneous spiking activity in the presynaptic cells. To test this hypothesis, we induced spontaneous activity in interneurons and recorded sIPSCs in pyramidal cells. If GABAA,slow interneurons and synapses are mature but silent under control conditions, then under conditions of increased spontaneous activity we would expect to see an increase in GABAA,slow sIPSCs recorded in pyramidal cells. When bath applied at 10 µM, NE has been shown to depolarize and trigger spontaneous action potentials in interneurons throughout CA1, causing a dramatic increase in the frequency and amplitude of sIPSCs recorded in pyramidal cells (Bergles et al. 1996). Similar to these previous reports, we found that 10 µM NE increased the frequency and amplitude of both GABAA,fast and GABAA,slow IPSCs (n = 2; data not shown). Unexpectedly, we found that a lower concentration of NE (1 µM) selectively increased the rate of GABAA,slow sIPSCs, with little effect on GABAA,fast sIPSCs, thus allowing us to study GABAA,slow in isolation (n = 11 cells). Even in slices from young animals lacking GABAA,slow sIPSCs under control conditions (P13-P15, n = 3), NE caused an increase in GABAA,slow sIPSCs recorded in pyramidal cells (Fig. 7). The amplitude and kinetics of GABAA,slow sIPSCs observed in these young animals in the presence of NE were comparable to those observed in mature animals under control conditions (Table 1).



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Fig. 7. Norepinephrine increases the rate of GABAA,slow sIPSCs in young animals. A-C:left: continuous recordings of GABAA sIPSCs obtained under whole cell voltage clamp from a CA1 pyramidal cell in a slice taken from an animal aged P13 under control conditions (A), in the presence of 1 µM norepinephrine (B), and after recovery (C). *GABAA,slow sIPSCs. Right: plots of 63% decay time (tau Decay) vs. 10-90% rise time (tau Rise) for ~500 events recorded from the cell on left. Note that in B there is a larger population of slowly rising, slowly decaying sIPSCs, classified as GABAA,slow sIPSCs, compared with A and C. Scale bars: 100 ms, 100 pA.

NE can act to alter synaptic release indirectly by depolarizing the presynaptic cell beyond threshold for action potentials, or by acting directly on the synaptic release machinery. We distinguished between these two possibilities by blocking APs with TTX, and then reapplying NE in four cells. In all cases, the effect of NE was blocked by coapplication of TTX, suggesting that NE was acting to increase spontaneous action potential activity in GABAA,slow interneurons (Fig. 8). These data are consistent with a developmental change in the excitability of GABAA,slow interneurons.



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Fig. 8. Norepinephrine has no effect on GABAA,slow mIPSCs. A and B: left: continuous recordings of GABAA sIPSCs obtained under whole cell voltage clamp from a CA1 pyramidal cell in a slice taken from an animal aged P13 in the presence of 1 µM TTX (A) and in the presence of 1 µM TTX + 1 µM norepinephrine (NE) (B). Right: plots of 63% decay time (tau Decay) vs. 10-90% rise time (tau Rise) for approximately 500 events recorded from the cell on left. Note that in TTX, there are no GABAA,slow mIPSCs with or without NE present. Scale bars: 100 ms, 250 pA.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Summary

In this study, we investigated the properties of GABAA receptor-mediated IPSCs recorded in CA1 pyramidal cells as a function of animal age between P10 and P35. We observed that the rate of spontaneous GABAA,slow IPSCs increased by 70-fold over the age range studied, and we observed a parallel but smaller change in the amplitude of SL-M-evoked GABAA,slow IPSCs. We found no evidence for changes in the strength of individual synapses underlying GABAA,slow IPSCs, as miniature GABAA,slow IPSCs exhibited no detectable change in their amplitude. We also observed no change in the frequency of GABAA,slow mIPSCs, consistent with the idea that the number of functional GABAA,slow synapses does not change between P10 and P30. We additionally found no evidence of maturation of the kinetic properties of either spontaneous or miniature GABAA,slow IPSCs. Even in P13-P15 animals, bath application of NE selectively activated GABAA,slow interneurons, triggering an increase in GABAA,slow sIPSCs recorded in pyramidal cells with kinetics and amplitude similar to that observed in mature animals. These observations suggest that the observed increase in the rate of GABAA,slow IPSCs and amplitude of evoked GABAA,slow IPSCs are due primarily to changes in the excitability of the interneurons underlying GABAA,slow IPSCs, for example, due to developmental regulation of the expression of voltage-gated ion channels. However, we cannot exclude the possibility that an increase in the number of GABAA,slow synapses also contributes to the increase in GABAA,slow sIPSC rate and eIPSC amplitude.

An unexpected finding of this study is that changes in the properties of GABAA,fast mIPSCs were not mirrored in the properties of GABAA,fast sIPSCs. If we assume that different populations of interneurons contribute equally to the generation of mIPSCs and sIPSCs, then since sIPSCs represent a combination of AP-dependent and AP-independent sIPSCs, these data suggest counterbalancing changes in pre- or postsynaptic properties. For example, although the rate of mIPSCs increased (from 2.4 to 4.2 s-1) between P10-P30, there was no change in the frequency of GABAA,fast sIPSCs over this age range. This observation suggests that the interneurons underlying GABAA,fast IPSCs undergo a collective decrease in spontaneous AP activity over this age range, from about 5.6 to 3.2 spikes/s (i.e., total spontaneous activity observed on average in a pyramidal cell), an opposite developmental change compared with GABAA,slow interneurons. In contrast to the small decrease in mean amplitude observed for GABAA,fast mIPSCs, GABAA,fast sIPSCs exhibited a small increase in mean amplitude, suggesting that postsynaptic reductions in receptor density are counterbalanced by increases in synapse number and release probability. Finally, in contrast to the decreases observed in weighted decay time constant of GABAA,fast mIPSCs, the weighted decay time constants of GABAA,fast sIPSCs were unchanged with age. This suggests that AP-dependent sIPSCs actually became slower to decay with age, exactly the opposite of mIPSCs. This result is difficult to interpret, but may reflect differences in which microscopic transition is rate-limiting when multiple synapses are activated synchronously (as is the case for AP-dependent sIPSCs) versus asynchronously (as is the case for mIPSCs). Alternatively, the observation that changes in GABAA,fast mIPSCs are not mirrored in changes in GABAA,fast sIPSCs may result from selective developmental changes in different populations of GABAA,fast interneurons (Freund and Buzsaki 1996; Nusser et al. 1996; Wilson et al. 2001) that do not contribute equally to the generation of mIPSCs versus sIPSCs.

Comparison to previous results

Recently, Cohen et al. (2000) published the first systematic study of the postnatal development of IPSC properties in CA1, focusing on fast rising and decaying (i.e., GABAA,fast) mIPSCs. The authors found effects of age similar to what we observed, including an increase in frequency, decrease in amplitude, and decrease in decay time between P0 and adulthood. In addition, there have been several developmental studies of IPSCs in dentate gyrus and CA3. Interestingly, the latter studies reported divergent effects of age depending on whether miniature, spontaneous, or evoked IPSCs were investigated, similar to the divergence we report here. In CA3, for example, Taketo and Yoshioka (2000) found that decay time constants of sIPSCs decreased and mean sIPSC amplitude increased between P2-P4 and P18-P38, whereas Rovira and Ben-Ari (1999) found no difference in mIPSC kinetics or amplitude between P4-P8 and P26-P35. In dentate gyrus, effects of age on IPSC kinetics and amplitude were also different depending on whether mIPSCs, sIPSCs, or eIPSCs were studied (Cooper et al. 1999; Draguhn and Heinemann 1996; Otis and Mody 1992), although part of the difference in these results could be explained by differences in the age ranges compared. Contradictory effects of age on mIPSC kinetics have also been reported (Hollrigel and Soltesz 1997; Rovira and Ben-Ari 1999). These studies indicate that it is difficult to predict developmental changes in AP-dependent IPSC properties based on studies of mIPSCs, and vice versa.

Interestingly, Nurse and Lacaille (1999) reported a developmental increase in GABAB receptor-mediated IPSCs in CA1 pyramidal cells over a time window nearly identical to what we have observed for GABAA,slow (i.e., absent at P12-P14 and maximal by P35-P45). Baclofen responses developed over the same time window, suggesting that the increase in GABAB IPSCs with age was mediated by changes in postsynaptic receptor density. This is in contrast to our data, which are consistent with presynaptic changes mediating the developmental increase in GABAA,slow IPSC amplitude and spontaneous rate. However, because it is difficult to assay the presence and activity of presynaptic boutons in the absence of functional postsynaptic receptors, a coordinated change in pre- and postsynaptic properties of GABAB inhibition may occur but remain unobserved. As discussed in the following text, this scenario may apply to GABAA,slow IPSCs as well.

Developmental changes in GABAA,slow interneurons

The observations that the rate of GABAA,slow sIPSCs and the amplitude of GABAA,slow eIPSCs increase with age, whereas GABAA,slow mIPSC frequency and amplitude remain unchanged suggest that either the membrane properties of GABAA,slow interneurons that contribute to spontaneous activity observed in pyramidal cells change between the ages of P10 and P35, or that they are subject to greater excitatory influences from metabotropic glutamatergic or nonglutamatergic sources at older ages. The net result is that in older animals, interneurons generating GABAA,slow IPSCs in pyramidal cells fire more spontaneous APs and have lower thresholds for activation by exogenous electrical stimuli. There have been no systematic studies of the changes in spontaneous activity or membrane excitability in interneurons as a function of age in CA1. However, developmental regulation of voltage- and calcium-activated K channels (Aoki and Baraban 2000; Du et al. 1996) has been reported. Developmental changes in these or other K channels would be expected to alter the firing properties of interneurons, and may account for the changes in excitability suggested by our data.

The observation that the rate of GABAA,slow mIPSCs remains stable between P10 and P30 is consistent with the hypothesis that the observed increase in the rate of GABAA,slow sIPSCs and the amplitude of GABAA,slow eIPSCs as a function of age is not due to an increase in the number of GABAA,slow synapses on CA1 pyramidal cells. However, we are cautious about this interpretation because it relies on the assumption that the spontaneous release properties of individual synapses do not change with age. Indeed, it would not be surprising if changes in the activity of the presynaptic interneurons were accompanied by changes in synaptic density, as has been reported for several other systems (Seil and Drake-Baumann 2000). In this scenario, part of the increase in sIPSC frequency and eIPSC amplitude observed with age would be attributed to the properties of the presynaptic cells, and part to the development of additional synapses.

Selective activation of GABAA,slow interneurons by NE

Norepinephrine acts via G-protein-coupled receptors to alter membrane excitability and synaptic release in a wide variety of cortical cells, consistent with the widespread forebrain projections of the locus coeruleus (Morrison et al. 1979). In the CA1 region of hippocampus, NE has a net inhibitory effect on pyramidal cell activity, presumably via depolarization of GABAergic interneurons via alpha 1 adrenergic receptors (Bergles et al. 1996). Although 10 µM NE depolarizes interneurons throughout CA1 (Bergles et al. 1996), we have shown here that 1 µM NE selectively increases the rate of GABAA,slow sIPSCs in pyramidal cells, suggesting that GABAA,slow interneurons are particularly sensitive to activation by noradrenergic inputs. In CA1, noradrenergic innervation is not uniform, with SL-M receiving the heaviest innervation and other layers weaker innervation (Oleskevich et al. 1989). The observation that SL-M stimulation selectively activates GABAA,slow IPSCs suggests that GABAA,slow interneurons may be preferentially targeted by noradrenergic terminals, or alternatively may express a receptor subtype with higher affinity for NE.

Functional implications

The relative paucity of GABAA,slow IPSCs even in older animals does not imply that GABAA,slow interneurons are unimportant for CA1 network activity. Indeed, when activated by excitatory stimuli applied to SL-M, GABAA,slow interneurons generate large amplitude and long-lasting inhibition in CA1 pyramidal cells and in other interneurons (Banks et al. 1998, 2000; Pearce 1993), and can suppress all AP-dependent spontaneous activity in GABAA,fast interneurons (Banks et al. 2000). Thus although GABAA,slow interneurons do not exhibit high levels of spontaneous activity, they mediate IPSCs that can profoundly influence the state of excitability in large numbers of CA1 neurons.

We have previously shown that GABAA,slow IPSCs have the appropriate kinetics to participate in interneuron-based theta frequency oscillations (White et al. 2000). In this computational study, we proposed a model in which theta frequency input from entorhinal cortex to the SL-M region of CA1 activates GABAA,slow interneurons, and by virtue of these cells' connections to GABAA,fast interneurons, organizes and amplifies phase-dispersed, heterogeneous theta frequency excitatory inputs. The developmental changes in GABAA,slow interneurons suggested by the data presented here predict that this mechanism would be far less effective in young animals than in adults. Although there have been no studies to date concerning the development of theta oscillations in CA1, the results presented here provide a convenient means for testing the functional role of GABAA,slow in regulating synchronous activity in CA1.


    ACKNOWLEDGMENTS

We thank D. Cole and P. Shils for technical support.

This study was supported by National Institute of General Medical Sciences Grant GM-55719 to R. A. Pearce, University of Wisconsin-Howard Hughes Medical Institute Research Resources Program, and the Department of Anesthesiology, University of Wisconsin-Madison.


    FOOTNOTES

Address for reprint requests: M. I. Banks, Dept. of Anesthesiology, Univ. of Wisconsin, 1300 University Ave., Rm. 4625, Madison, WI 53706 (E-mail: mibanks{at}wisc.edu).


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