Abstract
We used three-dimensional reconstruction from serial electron micrographs to investigate two structural changes that could underlie estrogen-induced disinhibition of hippocampal CA1 pyramidal cells: a decrease in the number of inhibitory inputs per neuron and/or a change in inhibitory boutons that could limit GABA release. We analyzed 373 boutons forming 510 inhibitory synapses in estrogentreated and control animals. Our results show that estrogen specifically decreases the number of synaptic vesicles adjacent to the presynaptic membrane of inhibitory synapses without affecting the overall number of vesicles. We detected no difference in the density of inhibitory inputs. These findings provide a novel mechanism for the functional effects of estrogen on synaptic inhibition and represent the first in vivo evidence that the number of presynaptic vesicles available for release is a regulated property of synapses that affects synaptic physiology.
Introduction
Synaptic transmission depends on neurotransmitter release from vesicles that are docked at the presynaptic membrane and primed for membrane fusion and exocytosis (Sudhof, 1995). Presynaptic action potentials evoke transmitter release with a probability less than 1. Although many factors can influence probability of release, studies of excitatory synapses in the hippocampus indicate that release probability is positively related to the size of a readily releasable pool of vesicles (Dobrunz and Stevens, 1997). At hippocampal synapses in culture (Schikorski and Stevens, 2001) and ribbon synapses on retinal bipolar cells (Von Gersdorff et al., 1996), vesicles closely aligned to the presynaptic membrane correspond to the readily releasable pool. In the hippocampus, both release probability (Hessler et al., 1993; Rosenmund et al., 1993) and docked vesicle number (Harris and Sultan, 1995) are highly variable, and the statistical distribution of docked vesicle pool sizes corresponds well with the distribution of release probabilities (Schikorski and Stevens, 1997). A similar relationship is also apparent at excitatory synapses in the cortex (Bower and Haberly, 1986; Schikorski and Stevens, 1999).
Despite these correlations, at least two studies challenge the view that the number of docked vesicles parallels release probability. Ultrastructural comparisons of synapse types with very different release probabilities, parallel fiber versus climbing fiber inputs to cerebellar Purkinje cells (Xu-Friedman et al., 2001), and phasic versus tonic firing motor neurons in the crayfish (Millar et al., 2002) show either no difference or an inverse relationship between release probability and number of docked vesicles.
As an alternative approach to address the relationship between presynaptic vesicles and synaptic function, we compared one type of synapse in two hormonal states with known physiological differences. Previously, we showed that 24 h of estrogen treatment disinhibits hippocampal CA1 pyramidal cells by suppressing GABAergic synaptic transmission. Estrogen decreases the amplitude of evoked IPSCs, decreases the frequency of miniature IPSCs (mIPSCs) (Rudick and Woolley, 2001), decreases paired-pulse depression of IPSCs, and facilitates action potential firing (Rudick et al., 2003). Because in the same studies we found no decrease in mIPSC amplitude, it is unlikely that the effects of estrogen result from decreased postsynaptic responsiveness to GABA. Rather, the electrophysiological data point to either or both of two changes in inhibitory synapses: a structural decrease in the number/density of inhibitory inputs and/or some change in inhibitory synaptic boutons that limits GABA release.
To investigate these possibilities, we analyzed axosomatic inhibitory synapses on CA1 pyramidal cells in estrogen-treated and control rats using serial reconstruction electron microscopy. Our results show that estrogen-induced disinhibition is paralleled by a profound and specific decrease in the number of synaptic vesicles adjacent to the presynaptic membrane (i.e., those in position to be released). We found no decrease in the density of inhibitory inputs. These findings provide the first in vivo evidence that the number of vesicles available for release is a regulated property of synapses that influences synaptic physiology and support the idea that release probability is related to the size of a releasable vesicle pool at hippocampal inhibitory synapses.
Materials and Methods
Hormone treatment and tissue processing. The Northwestern University Animal Care and Use Committee approved all of the animal procedures. Eight adult female Sprague Dawley rats (180-220 g) were ovariectomized (OVX) under ketamine (85 mg/kg, i.p.) and xylazine (13 mg/kg, i.p.) anesthesia. Three days later, four rats received a 10 μg subcutaneous injection of 17β-estradiol benzoate (OVX+E) in sesame oil vehicle, and the other four received oil alone (OVX+O). Twenty-four hours later, the animals were anesthetized with Nembutal (80 mg/kg, i.p.) and perfused with heparinized saline, followed by 2.5% paraformaldehyde/0.5% glutaraldehyde in 0.1 m phosphate buffer, pH 7.4. After perfusion, brains were postfixed overnight at 4°C. Dorsal hippocampal blocks were cut at 100 μm, stained for 1 h with 1% osmium tetroxide, dehydrated in graded ethanols, flat embedded in epoxy resin, and trimmed to contain CA1. Between 60 and 130 serial thin (∼80 nm) sections per block were collected on Formvar-coated slot grids.
Separate sets of sections were collected on nickel grids for postembedding immunogold labeling for GABA. Periodic acid/sodium periodate-etched sections were incubated in 1:500 rabbit anti-GABA IgG (Sigma, St. Louis, MO) for 2 h, followed by 1:20 goat anti-rabbit IgG-20 nm colloidal gold (Ted Pella, Redding, CA) for 1 h. All of the sections were counterstained with 3% uranyl acetate, followed by 2.66% Reynold's lead citrate, and then examined with a JEOL (Peabody, MA) 100CXII electron microscope. Tissue was coded so that investigators were blind to hormone treatment conditions until all of the reconstructions and analyses were complete.
Image acquisition and analysis. For each brain, one 600× image in the middle of a series was used to randomly select four CA1 pyramidal cells for analysis. For each section, two to three micrographs at 10,000× were taken per cell; negatives were scanned (1600 dots per inch) and montaged to form a 16-20 μm perimeter of the cell membrane. This was repeated through 60-80 serial sections, and then images were aligned using SEM Align (K. M. Harris, Medical College of Georgia, Augusta, GA and J. C. Fiala, Boston University, Boston, MA; www.synapses.mcg.edu). For each section, the somatic membrane, apposed glial profiles, boutons forming symmetric synapses and/or containing pleiomorphic vesicles, presynaptic densities, and presynaptic vesicles were traced and quantified in IGL Trace (www.synapses.mcg.edu). Synapses were identified as apposed electron-dense regions on bouton and soma membrane having at least three vesicles in the bouton within 50 nm of the presynaptic membrane. Each measured variable was averaged to obtain a single mean value per animal (n = 4 for all of the comparisons). We used unpaired, two-tailed Student's t tests to compare means, Pearson's test for correlations, and the Kolmogarov-Smirnov test to compare distributions. All of the data are presented as mean ± SEM. Illustrative images were made using 3D Studio Max 4 (Autodesk, San Raphael, CA).
Results
We used serial-section electron microscopy to investigate two mechanisms for estrogen-induced disinhibition of hippocampal CA1 pyramidal cells: a decrease in the number of inhibitory boutons in synaptic contact with pyramidal cells and/or a decrease in GABA release at individual synapses. We focused on axosomatic inhibitory synapses because inhibitory innervation of CA1 pyramidal cells is most concentrated at the soma (Megias et al., 2001), and our previous electrophysiological recordings were made with stimulating electrodes placed in the cell body layer very near recorded cells.
Before analyzing synaptic inputs in serial sections, we first confirmed that we could reliably identify GABAergic boutons based on two morphological criteria: pleiomorphic vesicles and symmetric presynaptic and postsynaptic densities. In sections labeled for GABA using postembedding immunogold (Fig. 1A), we found that 247 of 259 (95%) axosomatic boutons (184 of 192 OVX+O and 63 of 67 OVX+E) that fulfilled both criteria were also GABA positive. Given that we could identify the vast majority of GABAergic boutons morphologically, we proceeded with serial reconstruction using nonimmunolabeled tissue because procedures for immunolabeling compromise ultrastructure quality.
Estrogen does not affect glial ensheathment or density of inhibitory inputs
Initially, we favored the hypothesis that estrogen-induced disinhibition is attributable to a decrease in inhibitory synapse number because of a precedent in the arcuate nucleus of the hypothalamus. Perez et al. (1993) reported that 24 h of estrogen treatment (same as that used here) produces hypertrophy of the glial cells that ensheath arcuate neurons, physically displacing axosomatic GABAergic inputs from their postsynaptic sites and increasing arcuate neuron firing (Parducz et al., 2002).
To evaluate glial hypertrophy and axosomatic bouton displacement in the hippocampus, we reconstructed patches of CA1 pyramidal cell body membrane, as well as glial processes and inhibitory boutons apposed to each patch (Fig. 1B). Patches from four cells in each of four OVX+O and four OVX+E animals were reconstructed from 60-80 serial electron micrographs per cell. Each patch was ∼75 μm2 in area, or approximately one-fifth of the total somatic surface. From these reconstructions, we quantified the percentage of somatic surface apposed by glia, the density of synaptically connected inhibitory boutons, and the distance from each inhibitory synaptic density to the nearest glial profile. None of these parameters was significantly affected by estrogen. There was no evidence that estrogen produces hypertrophy of somatic glial ensheathment because the percentage of somatic area apposed by glia was 26.8 ± 2.7% on OVX+O cells and 30.2 ± 1.8% on OVX+E cells (p = 0.33) (Fig. 1C). Additionally, there was no evidence that estrogen decreases axosomatic inhibitory innervation; OVX+O and OVX+E cells had similar densities of synaptically connected inhibitory boutons. Connected bouton density was 0.16 ± 0.02 boutons/μm2 on OVX+O cells and 0.19 ± 0.02 boutons/μm2 on OVX+E cells (p = 0.40) (Fig. 1D). Finally, we found no evidence of a change in the spatial relationship between glia and inhibitory synapses. The average distance between an inhibitory synapse and the nearest glial profile was 0.93 ± 0.27 μm for OVX+O cells and 0.70 ± 0.07 μm for OVX+E cells (p = 0.44; data not shown). Together, these data effectively refuted the hypothesis that glial hypertrophy and axosomatic bouton displacement underlie estrogen-induced disinhibition of CA1 pyramidal cells.
Estrogen decreases the number of vesicles adjacent to the presynaptic membrane
Subsequently, we considered the possibility that estrogen produces a change in presynaptic boutons that could limit GABA release. A total of 373 axosomatic boutons forming 510 inhibitory synapses (OVX+O, 166 boutons forming 219 synapses; OVX+E, 207 boutons forming 291 synapses) that were completely contained within our series were used to quantify bouton volume, presynaptic density area, and vesicle number, density, and location. Boutons contained only partially within a series were excluded. The number of synapses is greater than the number of boutons because some boutons form multiple synapses. With the exception of vesicle location (see below), none of the measured parameters was significantly affected by estrogen (Table 1). As observed for excitatory synapses in the hippocampus (Harris and Sultan, 1995; Schikorski and Stevens, 1997), bouton volume was positively correlated with vesicle number (r = 0.86; p < 0.001) and size of the postsynaptic density (r = 0.56; p < 0.001). Most inhibitory boutons (76%) contained mitochondria; boutons containing mitochondria were ∼3.4 times larger than boutons not containing them (Table 1).
In contrast to other parameters examined, analysis of vesicle location revealed that estrogen produced a profound decrease in the number of vesicles adjacent to the presynaptic density. For each synapse, we quantified the number of vesicles located 0-30, 31-50, or ≥51 nm from the presynaptic membrane. We chose 30 nm as the limit of the closest range because this is the shortest distance from a synapse that we could measure reliably. Because our experimental design involved the evaluation of all of the synapses within a particular volume of tissue, some synapses or parts of synapses were sectioned obliquely; in these cases, it was not possible to confirm all of the vesicles that were physically associated with the presynaptic membrane. However, this distance range is within that reported by others to reflect docked vesicles [e.g., 0-70 nm (Schikorski and Stevens, 2001)], and it is likely that the vast majority of vesicles 0-30 nm from the presynaptic membrane belong to a releasable vesicle pool (Stanton et al., 2003).
Reconstructed synapses from OVX+O (Fig. 2A,C) and OVX+E (Fig. 2B,D) animals were used to quantify the number of vesicles within 30 nm of the presynaptic membrane (Fig. 2E-H). As has been shown for excitatory synapses, the number of vesicles near the presynaptic membrane at inhibitory synapses was highly variable, ranging from 0 to 61. Interestingly, estrogentreated animals had more than twice as many synapses with no vesicles within 30 nm, although this was a small proportion of synapses overall. OVX+E animals had 13.8 ± 1.7% synapses with zero vesicles within 30 nm compared with 5.6 ± 1.8% in OVX+O animals (p < 0.01) (Fig. 2E,F). Among synapses that did contain vesicles within 0-30 nm, the distribution was significantly shifted toward fewer vesicles in OVX+E animals (p < 0.01) (Fig. 2G). This shift led to, on average, one-half as many vesicles adjacent to the presynaptic membrane in estrogen-treated animals compared with controls. OVX+E animals had 6.2 ± 1.3 vesicles within 30 nm of the presynaptic membrane, whereas OVX+O animals had 12.1 ± 1.2 vesicles within this range (p = 0.01) (Fig. 2H). This decrease in number of vesicles near the synapse was paralleled by a decrease in vesicle density. The density of vesicles from 0 to 30 nm was 440 ± 74 vesicles/μm3 in OVX+E compared with 828 ± 95 vesicles/μm3 in OVX+O (p = 0.02). Slightly farther from the synapse, 31-50 nm, the average number of vesicles was lower in OVX+E animals (15.6 ± 3.4) compared with OVX+O animals (24.1 ± 4.5), but this difference was not statistically significant (p = 0.19). Similarly, the number of vesicles ≥51 nm from the presynaptic density was not significantly different between OVX+E (525 ± 109) and OVX+O (763 ± 134) animals (p = 0.22). Thus, estrogen specifically decreases the number of vesicles adjacent to the presynaptic membrane of axosomatic inhibitory synapses in CA1 without significantly affecting the overall number of vesicles or any other structural parameter in inhibitory boutons.
Discussion
The results presented here show that estrogen-induced disinhibition of hippocampal CA1 pyramidal cells is associated with a decrease in the number of vesicles adjacent to the presynaptic membrane of inhibitory synapses (i.e., those vesicles most likely to be readily releasable). A reduction in the number of releasable vesicles provides a novel mechanism for the functional effects of estrogen on GABAergic inhibition. Each of the previously established electrophysiological effects of estrogen is consistent with a reduction in GABA release: decreased amplitude of evoked IPSCs, decreased frequency, but not amplitude, of mIPSCs (Rudick and Woolley, 2001), and decreased paired pulse-depression of IPSCs (Rudick et al., 2003). Because estrogen did not affect the density of inputs, our findings indicate that estrogen-induced disinhibition in the hippocampus occurs via a different mechanism than it does in the hypothalamus, in which estrogen has been reported to decrease the density of inhibitory inputs to arcuate neurons (Perez et al., 1993).
To our knowledge, this is the first demonstration in vivo that the number of neurotransmitter vesicles available for release is a regulated property of synapses that affects synaptic physiology. Studies in the 1970s and 1980s showed that sensory or electrical stimulation in vivo can acutely alter the distribution of presynaptic vesicles (Feher et al., 1972; Applegate and Landfield, 1988). Subsequently, Murthy et al. (2001) found that pharmacological blockade of activity in hippocampal cultures increases the number of releasable presynaptic vesicles. However, none of these studies addressed whether manipulations other than the modulation of activity affects vesicle distribution or whether the distribution of vesicles is regulated in a way that leads to a stable change in synaptic function. Tyler and Pozzo-Miller (2001) did investigate these questions in hippocampal slice cultures. These investigators found that culturing slices with exogenous brain-derived neurotrophic factor increased both the number of vesicles docked at excitatory synapses and the frequency, but not amplitude, of miniature EPSCs (mEP-SCs). This coordinated change in the number of docked vesicles and mEPSC frequency in cultures mirrors what we found for the effects of estrogen on inhibitory synapses in the adult brain (although in the opposite direction). That releasable vesicle number and mEPSC/mIPSC frequency change in parallel under two such different circumstances strongly suggests a causal relationship.
Release probability, paired-pulse depression, and the docked vesicle pool
Release probability is a critical variable in synaptic function. One way to assess release probability is with paired-pulse experiments, in which two synaptic stimuli are given in close succession and the postsynaptic response evoked by the second pulse is compared with that evoked by the first. At GABAergic synapses on CA1 pyramidal cells, the second response tends to be depressed compared with the first (Davies et al., 1990), and the amount of depression can be increased by increasing initial release probability (Jiang et al., 2000).
On one hand, this relationship between paired-pulse depression and release probability might be explained by depletion of release sites. For example, if, after releasing a single vesicle, a release site becomes refractory until some repriming event occurs, then the pool of potential release sites would be depleted temporarily. Thus, when the probability is high that any site will release a vesicle, a greater fraction of sites releases on the first stimulus, leaving relatively fewer sites capable of release on the second stimulus, leading to depression. Conversely, when release probability is low, less depression is observed because a relatively greater fraction of release sites remains capable of release on the second stimulus. Given the positive relationship between the number of docked vesicles and release probability shown for hippocampal excitatory synapses (Dobrunz and Stevens, 1997; Schikorski and Stevens, 2001), this depletion model predicts that a smaller pool of docked vesicles at each release site should be associated with lower release probability and therefore less paired-pulse depression.
On the other hand, the situation is not necessarily so simple. Two previous serial electron microscopic studies that compared docked vesicle number at different types of synapses with high versus low release probability and correspondingly different behavior in paired-pulse experiments showed either no difference (Xu-Friedman et al., 2001) or the opposite of that predicted by a depletion model (Millar et al., 2002). This may be because variables in addition to the number of releasable vesicles can influence release probability, including Ca2+ influx, Ca2+ buffering, and Ca2+ sensitivity of release machinery (for review, see Zucker and Regehr, 2002). Furthermore, a relationship between release probability and paired-pulse depression can be complicated by factors such as postsynaptic receptor desensitization (Kirischuk et al., 2002), negative feedback via presynaptic GABAB receptors (Lambert and Wilson, 1994), interactions between release sites (Telgkamp et al., 2004), or processes upstream of exocytosis (Kraushaar and Jonas, 2000). If factors such as these differ between the synapses compared in previous electron microscopic studies, they could have obscured an underlying relationship between docked vesicle number and release probability.
Our findings add a new piece to this complex puzzle and support the idea that release probability, paired-pulse depression, and the docked vesicle pool are directly related. The approach was to evaluate the same type of synapse in two hormonal states with known differences in physiology. Previous studies established that the same estrogen treatment used here decreases the amplitude of IPSCs evoked by single stimuli and reduces paired-pulse depression. Together, these data suggest a scenario in which an estrogen-induced decrease in the number of vesicles available for release at inhibitory synapses reduces release probability, resulting in GABA release from fewer release sites and, consequently, smaller evoked IPSCs and less depression of the second IPSC in paired-pulse experiments. Estrogen may also affect nonstructural parameters that influence release probability and/or synaptic depression. However, whether or not such additional effects exist, our data suggest a model in which release probability at inhibitory synapses in CA1 is related to the size of the releasable pool of vesicles, and depletion of release sites could contribute to synaptic depression.
Estrogen action in the hippocampus
In addition to its effects on inhibitory synapses, estrogen also regulates excitatory synapses in CA1. Seventy-two hours of estrogen treatment increases the density of dendritic spines and excitatory synapses on CA1 pyramidal cells, increases the sensitivity of CA1 pyramidal cells to excitatory synaptic input, enhances long-term potentiation (for review, see Woolley, 1998), and improves spatial working memory (Sandstrom and Williams, 2001). Based on parallels with the effects of estrogen on dendritic spines in vitro (Murphy et al., 1998), estrogen-induced suppression of inhibitory synaptic transmission is likely to play a causal role in subsequent increases in spine and synapse density. Therefore, understanding how estrogen regulates synaptic inhibition is key to understanding estrogen-induced synaptogenesis in the hippocampus.
The classical mechanism of estrogen action is via nuclear transcription factor receptors. A curious aspect of the effects of estrogen in the dorsal hippocampus is the paucity of cells that express nuclear estrogen receptors (ERs). The few cells in dorsal CA1 that do express nuclear ERs are GABAergic neurons, but this is only a small subset of all of the GABAergic neurons in the region (Hart et al., 2001). Interestingly, extranuclear ER immunoreactivity has also been detected in some axons and glia in CA1 (Milner et al., 2001), particularly those in the pyramidal cell layer (S. A. Hart and C. S. Woolley, unpublished observations). Because glia have been shown to regulate GABA release from CA1 interneurons (Kang et al., 1998), it is tempting to speculate that ER signaling via an extranuclear mechanism in glia and/or presynaptic boutons could be involved in the effects of estrogen on synaptic inhibition of pyramidal cells. Whether the estrogen-induced decrease in vesicles adjacent to the presynaptic membrane results from vesicle depletion after an initial stimulation of release and/or slower refilling of release sites is unknown. In either case, regulation of inhibitory presynaptic vesicle dynamics reflects a novel estrogen action in the hippocampus that influences inhibitory synaptic physiology and may also play a role in subsequent excitatory synaptogenesis.
Footnotes
This work was supported by National Institutes of Health Grants NS 37324 and MH 067564, the W. M. Keck Foundation, and the Northwestern University Biological Imaging Facility. We thank Dr. Indira Raman for helpful comments on this manuscript.
Correspondence should be addressed to Catherine S. Woolley, Department of Neurobiology and Physiology, 2205 Tech Drive, Northwestern University, Evanston, IL 60208. E-mail: cwoolley{at}northwestern.edu.
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