Summary
How autoreceptors contribute to maintaining a stable output of rhythmically active neuronal circuits is poorly understood. Here, we examine this issue in a dopamine population, spontaneously oscillating hypothalamic rat (TIDA) neurons, that underlie neuroendocrine control of reproduction and neuroleptic side effects. Activation of dopamine receptors of the type 2 family (D2Rs) at the cell-body level slowed TIDA oscillations through two mechanisms. First, they prolonged the depolarizing phase through a combination of presynaptic increases in inhibition and postsynaptic hyperpolarization. Second, they extended the discharge phase through presynaptic attenuation of calcium currents and decreased synaptic inhibition. Dopamine reuptake blockade similarly reconfigured the oscillation, indicating that ambient somatodendritic transmitter concentration determines electrical behavior. In the absence of D2R feedback, however, discharge was abolished by depolarization block. These results indicate the existence of an ultra-short feedback loop whereby neuroendocrine dopamine neurons tune network behavior to echoes of their own activity, reflected in ambient somatodendritic dopamine, and also suggest a mechanism for antipsychotic side effects.
Keywords: network oscillation, D2 receptor, arcuate nucleus, tuberoinfundibular, auto-inhibition, calcium currents, prolactin
Graphical Abstract
Highlights
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Frequency tuning by autoreceptors occurs in an oscillating dopamine neuron network
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Dopamine reuptake and D2 receptors at the cell-body level determine frequency
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Oscillation is controlled through the combination of pre- and postsynaptic actions
Stagkourakis et al. describe an ultra-short feedback loop in hypothalamic rat dopamine (TIDA) neurons. Using electrophysiology, they show that TIDA network oscillations are tuned to ambient levels of dopamine. This homeostatic regulation, involving complementary sets of pre- and postsynaptic mechanisms, may contribute to the hormonal side effects of antipsychotics.
Introduction
Dopamine neurons play a pivotal role in several brain functions, including cognition, reward, and motor output (Jentsch et al., 1997, Servan-Schreiber et al., 1998, Reeves et al., 2005, Katz, 1979, Lippa et al., 1973, Graeff, 1966, Andén and Strömbom, 1974, Westermann and Staib, 1976). Changes in dopamine activity have been implicated in, e.g., schizophrenia, addiction, and Parkinson disease (Stevens et al., 1974, Seeman, 2013, Compton et al., 1996, Ungless et al., 2010, Södersten et al., 2014, Chase et al., 1974). A physiologically appropriate dopamine output depends, to a great extent, on homeostatic mechanisms. These mechanisms are only partly understood but includes immediate feedback through autoreceptors (Cragg and Greenfield, 1997).
Dopamine is also an important signaling molecule in the hypothalamus, where it inhibits prolactin release from the anterior pituitary (Freeman et al., 2000). The main source of neuroendocrine dopamine is the tuberoinfundibular dopamine (TIDA) neurons, located in the dorsomedial hypothalamic arcuate nucleus (dmArc). TIDA neurons release dopamine into the portal capillaries at the median eminence (ME) for transport to the anterior pituitary gland (Lyons and Broberger, 2014). Patterned dopaminergic inhibition within the lactotrophic axis is essential for successful reproduction, as evidenced by the impaired fertility and other sexual side effects associated with the hyperprolactinaemia commonly seen in patients treated with antipsychotics with dopamine antagonist properties (Holt and Peveler, 2011).
The pituitary consequences of TIDA neuron activation are well established (Fuxe, 1963). However, the actions of dopamine on TIDA neurons have been the subject of only a few studies and remain poorly understood. Biochemical studies have indicated that TIDA neurons may be under inhibitory influence by dopamine receptors of the type 2 family (D2R) (Berry and Gudelsky, 1991, Lin et al., 2000, Liang et al., 2014), but other investigators have found no effect (Demarest and Moore, 1979a, Timmerman et al., 1995) or even disinhibition via D2R (Durham et al., 1996). How autoreceptors affect TIDA membrane properties and network activity has not been studied. In the ventral tegmental area (VTA) and the substantia nigra (SN) of the midbrain, where this issue has been studied in more depth, autoinhibition appears to protect dopamine neurons from runaway excitation (Björklund and Lindvall, 1975, Aghajanian and Bunney, 1977, Paladini et al., 2003, Beckstead et al., 2004, Gentet and Williams, 2007). This has been shown to involve D2R-mediated activation of hyperpolarizing K+ conductances (Silva and Bunney, 1988). TIDA neurons share several features with their mesencephalic counterparts, including co-transmitters, such as GABA (Everitt et al., 1984) and neurotensin (Ibata et al., 1983), and the ability to exhibit both tonic and phasic discharge configurations. It is not known, however, whether mechanisms of autoregulation are similar or different in TIDA cells.
Intriguingly, recent in vitro studies have revealed that TIDA neurons in the male rat discharge in an oscillating pattern, which can be switched to tonic discharge by hormones and neurotransmitters (Lyons et al., 2010, Lyons et al., 2012, Briffaud et al., 2015) that, in in vivo studies, have correlated to prolactin release and lactation. This phenomenon raises the question of whether and how dopamine participates in the maintenance of this rhythmic behavior. The important question of how an oscillating circuit tunes its activity to internal feedback is poorly understood and ideally studied in a spontaneously active preparation. Furthermore, understanding the homeostatic regulation of TIDA neurons is clinically important, as several of the most troubling side effects associated with antipsychotic, as well as antidepressant, drugs derive from their ability to raise serum prolactin (Madhusoodanan et al., 2010, Serretti and Chiesa, 2011). The results we present here suggest the existence of a ultra-short autoinhibitory loop in TIDA neurons encompassing both pre-and postsynaptic mechanisms that is continuously adjusted to ambient somatodendritic dopamine levels.
Results
Dopamine D2R Activation Decreases Oscillation Frequency
The TIDA neurons in the male rat exhibit stereotyped electrophysiological properties, including anomalous inward rectification, an A-like current conductance, and a slow (0.05–0.07 Hz) oscillation. This electrical profile correlates to the expression of tyrosine hydroxylase and can reliably be used to identify these cells for in vitro recordings (Lyons et al., 2010). Using these criteria, we first sought to determine how TIDA network behavior is affected by agonists of the dopamine receptors, using whole-cell recordings.
Application of dopamine (20 μM) induced a reversible increase of the oscillation cycle duration (+7.66 ± 1.47 s; n = 5; p < 0.05 versus control; ANOVA; Figures 1Ba–1Bd; Table S1). To identify the different components of the cycle, a custom written analysis program was developed (Figure 1A; Supplemental Experimental Procedures). Thus, the dopamine-induced slowing of the oscillation was found to result primarily from an increase in phase 1 (i.e., initial slow depolarization from nadir: +5.03 ± 1.13 s; n = 5; p < 0.05 versus control; ANOVA; Figure 1Bb; Table S1) but also from a smaller increase in phase 3 duration (spiking phase: +2.92 ± 0.71 s; n = 5; p < 0.05 versus control; ANOVA; Figure 1Bb; Table S1). The duration of phases 2 (fast depolarization) and 4 (repolarization) were not affected by the application of dopamine. Application of the non-selective dopamine receptor agonist apomorphine (20 μM) resulted in similar changes in oscillation cycle properties, as seen with dopamine (n = 5/5; Figures 1Ca–1Cd; Table S1).
Application of the D2R agonist, 20 μM quinpirole (Qp) also caused changes to oscillation parameters indistinguishable from those observed following dopamine application (n = 8/8; Figure 1E; Table S1). In the presence of the D1-type-receptor (D1R)-specific agonist, SKF-81,297 (10 μM) (Reavill et al., 1993), however, oscillation parameters were not significantly altered (n = 5/5; Figure 1D; Table S1). As it could not, at this point, be excluded that ongoing dopamine release in the slice might be acting on D1 receptors diminishing an effect of exogenous agonists (Dewey et al., 1992), we also tested the D1R antagonist, SCH-23,390 (10 μM) (Bourne, 2001), but prolonged application of this compound did not affect oscillation parameters (n = 7/7; Table S1). Last, we tested whether D2R activation alters rhythmicity in the presence of fast-ionotropic blockade (FIB) (100 μM picrotoxin [Ptx], 10 μM CNQX, and 25 μM AP-5). In these conditions, 20 μM Qp led to a prolongation of cycle duration (5.99 ± 0.91 s; n = 6; p < 0.01 versus FIB) by increasing phase 1 and phase 3 durations (Figure S2; Table S1). These data identify D2R as an autoreceptor that modulates TIDA membrane properties and slows down network rhythm.
D2R Antagonism Switches TIDA Neurons to Depolarization Block
These findings raised the question of whether there is ongoing D2R activation due to endogenous dopamine release in the spontaneously active slice. This issue was addressed by pharmacological antagonism of the D2R. Application of the selective D2R antagonist eticlopride (1 μM) resulted in a depolarization of the TIDA oscillation nadir (+2.46 ± 0.77 mV; n = 5; p < 0.05 versus control; Figures 2Aa and 2Ab; Table S1) concomitant with a decrease in phase 1 duration (−1.88 ± 0.65 s; n = 5; p < 0.05 versus control; Figure 2Ab; Table S1) and an increase of phase 3 duration (+1.51 ± 0.37 s; n = 5; p < 0.05 versus control; Figure 2Ab; Table S1). The cycle duration remained unchanged (−0.64 ± 0.56 s; n = 5; p > 0.05 versus control; Figure 2Ab; Table S1), as predicted by the opposite changes in the duration of phases 1 and 3. Application of a second D2R antagonist, the typical antipsychotic haloperidol (1 μM), had similar effects (n = 5/5; Figures 2Ba and 2Bb; Table S1). Closer examination of the individual action potentials (APs) revealed that application of either eticlopride or haloperidol induced a statistically significant decrease in amplitude and broadening of the APs (Figures 2Ad and 2Bd; Table S2). This effect on amplitude and half-width increased in size from the first to the fifth AP (Figures 2Ad and 2Bd; Table S2). The effect on the waveform of the fifth AP of a cycle is demonstrated in Figures 2Ac and 2Bc.
Similar changes in AP waveform have previously been described in midbrain dopamine neurons as a prodrome of the depolarization block (DB) (Bikson et al., 2003, Vandael et al., 2015, Richards et al., 1997) induced by antipsychotics (Grace and Bunney, 1986). This similarity, and the depolarized nadir induced by eticlopride, prompted us to examine the effects of higher concentrations of the D2R antagonists. Application of eticlopride (10 μM, n = 5/5) or haloperidol (10 μM, n = 11/11) resulted in a gradual depolarization and ultimate collapse of the oscillation (Figures 2Ca and 2Cb). AP amplitude gradually decreased and was eventually followed by a complete loss of APs concurrent with the collapse of the oscillation (Figures 2Ca and 2Cb). Injection of depolarizing square current pulses resulted only in a single, low-amplitude AP, verifying that the capacity for regenerative firing was compromised (Figure 2Cc). Collectively, these results suggest that TIDA neurons respond to D2R antagonists by excitation, leading to DB in a manner highly similar to what has been described in midbrain dopamine neurons following chronic application of dopamine antagonist antipsychotics (Grace and Bunney, 1986).
Dopamine Reuptake at the Cell-Body Level Regulates TIDA Oscillations
The partly opposite effects of D2R agonists and antagonists suggest that the baseline behavior of TIDA neurons may depend on continuous dopaminergic feedback. To further explore endogenous dopamine release in the dmArc we investigated the effect of blocking the dopamine transporter (DAT). The existence of the DAT in the TIDA system is controversial. Evidence has been presented for both the absence (Demarest and Moore, 1979b, Annunziato et al., 1980) and existence (Demaria et al., 2000, Bossé et al., 1997) of functional dopamine reuptake in these cells. We addressed this issue directly by applying a DAT blocker, either GBR-12783 or methylphenidate, and recorded the electrophysiological response. In the presence of GBR-12783 (1 μM) and methylphenidate (50 μM), TIDA neurons exhibited changes similar to those elicited by D2R agonists, i.e., dopamine, apomorphine, and Qp, and slowed down oscillation frequency (GBR-12783, n = 8/8; methylphenidate, n = 5/5; Figures 2Da and 2Db; Table S1). While both phases 1 and 3 were significantly prolonged in the presence of methylphenidate, the application of GBR-12783 only resulted in a significantly increased duration of phase 1. These data suggest the existence of endogenous release of dopamine from TIDA neurons and the presence of functional dopamine reuptake at the somatic level in these cells. Next, we sought to identify the membrane actions that underlie the D2R-mediated modulation of TIDA neurons.
D2R Activation Causes a Cs+-Sensitive Hyperpolarization
Application of tetrodotoxin (TTX; 0.5 μM) abolishes the TIDA oscillation (Lyons et al., 2010) likely owing to the inhibition of a persistent Na+ current. Under these conditions, and with membrane potential set to −60 mV via negative current injection, application of Qp (20 μM) resulted in a hyperpolarization of −4.19 ± 0.78 mV (n = 6; p < 0.01 versus control; Figures 3A and 3C). This hyperpolarization was attenuated when Qp was applied to cells recorded with an intracellular solution containing Cs+ (p < 0.05 versus Qp) (−1.69 ± 0.45mV; n = 9; p < 0.05 versus control; Figures 3A–3C). While Cs+ is known to block h current (Ih), the ability of intracellularly applied Cs+ to attenuate this current is controversial (Harris and Constanti, 1995). Thus, to more specifically test whether the phase 1 prolongation by D2R activation is partly an effect involving Ih, Qp was co-applied with the Ih blocker ZD-7288 (10 μM). Under these conditions, application of Qp failed to significantly increase phase 1 duration, whereas a prominent prolongation of phase 3 remained (Figures 3D and 3E). These findings suggest a D2R-mediated decrease of Ih.
D2R Agonism Inhibits an Inward Current Operating at High Voltage
To characterize the ionic currents modulated by D2R agonism, TIDA neurons were recorded in voltage-clamp mode in the presence of TTX (0.5 μM) at a holding potential (VHold) of −60 mV, i.e., at which the Qp-induced hyperpolarization had been observed. Application of Qp (20 μM) did not significantly affect holding current under these conditions (−0.49 ± 1.5 pA; n = 6; p > 0.05 versus control; Figure 3F). To determine current changes that might occur throughout the membrane potential spectrum, a voltage-clamp ramp protocol of 500-ms durations was used, allowing the identification of D2R-mediated currents throughout the voltage spectrum of −115 mV to 0 mV (Figure 3Ga). Digital subtraction of the ramp performed with control versus Qp (Figure 3Gb) revealed a Qp-induced current (IQp) that was a non-reversing net outward current, active only at membrane potentials positive of approximately −45 mV (n = 5; Figure 3Gc), increasing with depolarization within the range tested (VHold = 0 mV; +124.83 ± 34.97 pA). At a VHold negative of −50 mV no prominent IQp is evoked, suggesting that the Cs+-sensitive current underlying the phase 1 depolarization (discussed earlier) is not of sufficient amplitude to be isolated under these conditions.
D2R Activation Inhibits High-Voltage-Activated Ca2+ Channels in TIDA Neurons
The IQp may reflect the activation of an outward current and/or the inhibition of an inward current. As the I-V relationship of IQp is similar to that of a reversed ICa2+ (Nowycky et al., 1985, Fedulova et al., 1985), we tested whether D2R stimulation decreased Ca2+ flux in TIDA neurons, using a voltage ramp protocol.
Application of Qp (20 μM) was followed by a substantial and significant decrease of the high-voltage-activated (HVA) Ca2+ currents (−52.71 ± 9.09 pA; n = 7; p < 0.01 versus control; Figure 4A). Control experiments did not identify a prominent low-voltage-activated, T-type Ca2+ current in TIDA neurons (Figure 4A). Application of the L-type-specific blocker nimodipine (10 μM), however, attenuated the Ca2+ current (−62.8 ± 19.04 pA; n = 5; p < 0.05 versus control, ANOVA; Figure 4B). Under L-type Ca2+ channel blockade, the Qp-induced decrease in HVA current was significantly diminished (−34.6 ± 9.42 pA; n = 5; p < 0.05 versus nimodipine, ANOVA; Figure 4B). Application of the N-type-specific Ca2+ channel blocker ω-conotoxin GVIA (1 μM) decreased the Ca2+ currents (−71.4 ± 22.72 pA; n = 5; p < 0.05 versus control, ANOVA; Figure 4C). Under N-type Ca2+ channel blockade, application of Qp (20 μM) resulted in a small, but significant, decrease of the remaining Ca2+ current (−7.8 ± 1.91 pA; n = 5; p < 0.05 versus control, ANOVA; Figure 4C). Last, upon co-application of nimodipine and ω-conotoxin GVIA, the Ca2+ current decreased dramatically (−119.4 ± 6.94 pA; n = 5; p < 0.001 versus control, one-way ANOVA; Figure 4D). In these conditions, application of Qp (20 μM) failed to induce a significant decrease of the remaining Ca2+ current (−10.6 ± 5.32 pA; n = 5; p > 0.05 versus control, ANOVA; Figure 4D).
Interplay of BK Channels and Ca2+ Influx Controls Phase 3
To assess whether this D2R-mediated decrease in L-type Ca2+ currents could prolong phase 3 duration, short applications of low-Ca2+/high-Mg2+ artificial cerebrospinal fluid (aCSF) were performed. A reversible phase 3 prolongation was demonstrated under these conditions (59.98 ± 24.45 s; n = 7; p < 0.05 versus control; Figures 4Ea and 4Eb). Similarly, application of nimodipine resulted in prolongation of phase 3 (18.33 ± 7.61 s; n = 8; p < 0.05 versus control) in current-clamp (n = 4) as well as voltage-clamp (n = 4) recordings (Figures 4Fa–4Fc). As Ca2+ influx through L-type channels has commonly been implicated in the activation of Ca2+-dependent K+ channels (e.g., (Marrion and Tavalin, 1998), we last applied the big conductance Ca2+-activated K+ channel (BK) antagonist, charybdotoxin (200 nM). In the presence of charybdotoxin, phase 3 was also significantly increased in duration (6.41 ± 1.93 s; n = 8; p < 0.05 versus control). These data suggest that TIDA D2R activation leads to inhibition of the L-type (Cav1.1-1.4) and N-type (Cav2.2) HVA Ca2+ channels accounting for the prolongation of phase 3, possibly via the interplay of Ca2+ and BK channels responsible for phase 3 termination.
D2R Phase-Dependent Modulation of Rhythmic Inhibitory Input
Next, we investigated whether, in addition to postsynaptic modulation of TIDA membrane currents, D2R stimulation also affects synaptic input to these neurons. The frequency of inhibitory synaptic input in TIDA neurons is higher in phase 3 than in phase 1 (Lyons et al., 2010) (Figures 5Aa–5Ac; phase 1: spontaneous inhibitory post-synaptic current (sIPSC) inter-event interval (IEI) = 335.5 ± 56.57 ms; phase 3: sIPSC IEI = 223 ± 45.18 ms; difference in means ± SEM, −112.5 ± 32.55 ms; p < 0.05; n = 5). This discrepancy may reflect different sources of inhibitory input onto TIDA neurons across the oscillatory cycle. IPSCs were, therefore, compared separately in phase 1 and phase 3. The IEI for sIPSCs in the presence of Qp (20 μM) was significantly decreased during phase 1 (−125 ± 40.09 ms; n = 5; Figures 5Ba and 5Bb; KS-2, p < 0.05 versus control; t test, p < 0.05 versus control; Figures 5Ba and 5Bb) but significantly increased during phase 3 (+60.43 ± 21.62 ms; n = 5; Figures 5Ca and 5Cb; KS-2, p < 0.05 versus control; t test, p < 0.05 versus control; Figures 5Ca and 5Cb). In contrast, the amplitude of sIPSC was not affected by Qp application during either phase 1 (+1.39 ± 3.19 pA; n = 5; Figure 5Bc; KS-2, p > 0.05 versus control; t test, p > 0.05 versus control; Figures 5Ba and 5Bc) or phase 3 (+0.34 ± 4.75 pA; n = 5; Figure 5Cc; KS-2, p > 0.05; t test, p > 0.05; Figures 5Ca and 5Cc). Analysis of spontaneous excitatory postsynaptic currents (sEPSCs) revealed no significant changes (Figure S3). Likewise, miniature IPSCs and EPSCs (recorded in the presence of 0.5 μM TTX) were affected neither in IEI nor in amplitude (Figure S4). Taken together, these data suggest that D2R stimulation increases inhibitory input during phase 1, while it decreases it during phase 3.
GABAA Receptor Blockade Attenuates the D2R Activation Effect on Oscillation Frequency
The Qp-induced increase in sIPSC frequency during phase 1 suggests the possibility that the D2R-mediated decrease of oscillation frequency may be partly caused by augmented synaptic inhibition. If so, the effect of Qp on phase 1 should be diminished or abolished in the absence of GABAA-mediated inhibition. Thus, Ptx (100 μM) was bath applied prior to Qp (20 μM) application. Under these conditions, the Qp-mediated increase in cycle duration via prolongation of phase 1 was diminished by 48% (Figures 6A and 6C–6E; n = 6). Importantly, the Qp-induced increase in phase 3 duration was not affected by Ptx application (Figure 6E; n = 6; p > 0.05). The combined blockade of GABAA (by Ptx) and GABAB receptors (by the antagonist, CGP-55845; 10 μM) did not produce any additional attenuation of the Qp-mediated increase in cycle period or phase 1 or 3 duration, compared to Ptx alone (n = 5; Figures 6B–6E; Table S1). These data demonstrate that increased GABAA transmission contributes to dopaminergic autoregulation of the TIDA oscillation frequency, acting within the same membrane potential spectrum as, and likely parallel to, a Cs+-sensitive hyperpolarizing postsynaptic current (Figures 3A–3C).
Discussion
Feedback regulation is a core feature of CNS circuits. In the neuroendocrine system, such regulation has generally been studied in the context of multicomponent feedback loops, involving actions of the corresponding pituitary hormone—or a peripheral target hormone—on the hypothalamic “master” population. In the lactotrophic axis, prolactin can stimulate both dopamine production (Clemens and Meites, 1968, Hökfelt and Fuxe, 1972, Demarest et al., 1986, Gonzalez et al., 1988) and AP discharge and waveform (Lyons et al., 2012, Brown et al., 2012) in TIDA cells to increase the suppression of its own release in the pituitary. However, the possibility that parvocellular neurons can autoregulate their own activity, as a means of immediate homeostatic tuning, has received little attention. In gonadotropin-releasing-hormone (GnRH)-expressing neurons, there is evidence of an “ultra-short feedback loop” (Bedran de Castro et al., 1985) involving modification of the electrical activity (Xu et al., 2008). In TIDA neurons, the literature offers conflicting evidence for (Berry and Gudelsky, 1991, Liang and Pan, 2001) and against (Demarest and Moore, 1979a, Durham et al., 1997, Timmerman et al., 1995) the existence of autoreceptors. Importantly, the possibility that membrane properties and network activity are targeted by autoreceptors has not been explored on identified TIDA neurons.
Our experiments reveal that increasing D2R activation causes two coincident changes in the TIDA duty cycle: a prolonged duration of phase 1, resulting in a slower oscillation, followed by a minor prolongation of phase 3. The similar reconfiguration of the oscillation following the exogenous application of Qp, as when ambient endogenous dopamine was increased by GBR-12783 and methylphenidate induced DAT blockade (although the former prolonged only phase 1), strongly indicates that these effects are not simply pharmacological. It should be stressed that the present results do not unequivocally rule out dopaminergic sources other than TIDA neurons as the endogenous ligand source for autoreceptors. Indeed, the term “autoreceptor” commonly refers to a receptor whose ligand is produced by the same neuron; it does not, as such, posit that the ligand is exclusively supplied by that cell. However, given that the slice preparation used here likely includes little of dopamine populations outside of the A12 group, the results using receptor and DAT blockers favor the interpretation that TIDA neurons are capable of autoregulation.
Our results further suggest that DATs are located at release sites within the dmArc, i.e., where the cell bodies of TIDAs are located. The functional expression of DAT within the TIDA system has been controversial, with arguments presented both for its absence (Lookingland et al., 1987) and for its presence (Bossé et al., 1997, Demaria et al., 2000). However, this discussion has largely been based on the assumption that TIDA DATs are located on axon terminal release sites (i.e., in the ME). Therefore, the point in question may not be whether TIDAs have DATs but rather the site of the transporter’s actions. Our finding in which somatic whole-cell electrophysiology responds to DAT blockade in the same manner as following D2R stimulation indicates that DAT may be present and functional also on release sites that target the TIDA cell-body region. The exact nature of such release sites remains to be elucidated. Ultrastructural studies have shown that recurrent axon collaterals from TIDA neurons do not appear to form synaptic contacts, but extensive dendrodendritic and somatic contacts exist among these cells (Piotte et al., 1985). This anatomical organization is thus consistent with local release of dopamine—from dendrites and/or non-synapse forming axon collaterals—in the service of autoregulation, analogous to what has been observed in the midbrain dopamine neurons (Björklund and Lindvall, 1975, Geffen et al., 1976, Ford et al., 2010).
The modulation of phases 1 and 3 by D2R stimulation is mediated via distinct effects. At a membrane potential of −60 mV, i.e., within the phase 1 range, D2R activation induces a hyperpolarization, suggesting the contribution of direct post-synaptic actions. The current underlying the relatively modest (albeit with an impact at the network level) hyperpolarization is difficult to extract in voltage-clamp gap-free or ramp recordings; in TIDA neurons, this has yet only been reported with currents inducing several-fold larger changes in membrane potential (Lyons et al., 2010, Lyons et al., 2012, Briffaud et al., 2015). Pharmacological experiments, however, showed that the hyperpolarization is diminished by intracellular Cs+, implicating an increased K+ conductance and/or an inhibition of the hyperpolarization-activated cation current (Ih). Evidence for each has been reported from midbrain dopamine neurons (Lacey et al., 1987, Momiyama et al., 1993, Jiang et al., 1993). Here, the increase in phase 1 duration by D2R activation was abolished during Ih blockade, suggesting Ih as a mediator of the effect of D2R activation during phase 1.
An increased frequency of sIPSCs was also observed by D2R activation, raising the possibility that augmented phasic inhibition contributes to the slowing of this phase. Notably, the increase in the duration of phase 1 was significantly attenuated when Qp was applied during GABAA blockade (by Ptx). Thus, simultaneous increases in presynaptic inhibition and postsynaptic K+ or Ih-mediated outward current underlie the changes in phase 1 that primarily account for the decreased frequency resulting from an increased dopaminergic tone. As TIDA neurons do not discharge during phase 1, the increased inhibitory input is likely generated by another local neuronal population.
Phase 3 occupies a relatively depolarized membrane potential space, overlapping with the changes in HVA Ca2+ currents that followed D2R activation in TIDA neurons. Previous work has suggested the existence of L-type Ca2+ currents in these cells (Lyons et al., 2012). Our results confirm this and reveal the presence of N-type Ca2+ channels in TIDA neurons; the existence of P/Q and R-type Ca2+ channels remains to be investigated. We show that reductions in both L- and N-type Ca2+ currents contribute to the HVA IQp. Attenuated inward currents may seem counterintuitive as an explanation for the extended depolarized plateau of phase 3. However, TIDA neurons also exhibit Ca2+-dependent K+ currents (Lyons et al., 2012), and pharmacological inhibition of IK(Ca2+) results in an increased duration of phase 3, as shown in Figure 4. Thus, the attenuation of HVA Ca2+ currents accounts for the prolonged depolarization and discharge during D2R autoreceptor activation in TIDA neurons, possibly due to a decreased activation the IK(Ca2+) that ultimately causes repolarization to the nadir. The decreased synaptic inhibition during phase 3 (Figure 5Ca), though it does not in itself significantly contribute to prolonging the depolarized state, may add a synergistic net excitatory influence.
The mechanisms we identify here suggest an additional level of control in the neuroendocrine system where TIDA neurons homeostatically tune their activity to variations in the ambient extracellular levels of dopamine at the somatodendritic compartment. As local dopamine volume transmission increases (mimicked by Qp administration or DAT inhibition), a compensatory slowing of the network rhythm is initiated. The D2R and DAT are critical molecular components of this tuning. In addition, the gap junction connectivity between TIDA neurons (Lyons et al., 2010) may provide efficient transduction of the D2R-induced changes throughout the network.
Notably, Paladini et al. (2003) have shown that when midbrain dopamine neurons are depleted of dopamine, burst firing is lost, suggesting that this type of feedback tuning may have general relevance for how the discharge pattern is controlled in dopamine neurons. This ultra-short loop impacts on TIDA neurons in a manner less dramatic than that for the feedback relayed via prolactin; while prolactin shifts discharge into tonic firing (Lyons et al., 2012), dopamine—even at high concentrations—maintains TIDA neurons in an oscillatory configuration but restructures phase relationships. It may be speculated that, as the distance between the feedback signal (i.e., effector hormone versus inherent transmitter) and the controlled system increases, more radical correcting actions may be required, as deviations from the set point have lasted for a longer time. Curiously, some degree of continuous D2R-mediated feedback appears necessary for the system to discharge. Gradual diminishment of this signal, as mimicked with low doses of eticlopride and haloperidol, results in changes generally opposite to those induced by D2R stimulation combined with blunting of spikes. Higher doses and longer application of the antagonists results in depolarization block and collapse of the oscillation, rendering the cell incapable of repetitive spiking. The DB that we demonstrate in TIDA neurons is, in vital ways, similar to what can be observed in midbrain dopamine neurons (Grace and Bunney, 1986) and has been proposed to provide a physiological mechanism that constrains a cell’s firing frequency within a limited range, adding low-pass filter properties to a system (Wong et al., 2013).
Finally, our findings have clinical implications. Haloperidol and other antipsychotic drugs with D2R blocking properties at concentrations below the effective therapeutic dose cause hyperprolactinemia (Gruen et al., 1978), and associated reproductive dysfunctions such as impotence, menstrual disturbances, and infertility, commonly resulting in drug withdrawal (Serretti and Chiesa, 2011). This effect is usually attributed to haloperidol relieving pituitary lactotrophs of the tonic hyperpolarizing influence of D2R activation (MacLeod and Lehmeyer, 1974). The present results indicate, however, that dmArc TIDA autoreceptors may also contribute to such hyperprolactinemia by mediating D2R-antagonist-induced DB, causing the cessation of discharge and attenuated or abolished dopamine release in the portal vessels and removing inhibition from the lactotrophs. Thus, parallel actions of haloperidol at the somatodendritic level and at the endocrine target in the pituitary may underlie the reproductive side effects of D2R-active antipsychotic drugs. Thus, DB may be a mechanism that underlies not only the therapeutic actions of antidopaminergic antipsychotics (Grace et al., 1997) but also the adverse sexual effects commonly caused by these drugs.
In conclusion, our results using a spontaneously active neuroendocrine dopaminergic preparation reveal an ultra-short feedback pathway. These data suggest a rapid and continuous tuning of membrane rhythm to the circuit’s own activity echoed in fluctuations of ambient somatodendritic levels of transmitter, and mediated by a combination of pre- and post-synaptic actions. This arrangement may be important both for maintaining physiologically appropriate prolactin levels and for the development of neuroleptic-induced reproductive side effects.
Experimental Procedures
Acute slices of the mediobasal hypothalamus were prepared from 21- to 31-day-old male Sprague-Dawley rats (Charles River Laboratories). All animal experiments had received previous approval from the local ethical board, Stockholm’s Norra Djurförsöksetiska Nämnd, and were performed in accordance with the European Communities Council Directive of November 24, 1986 (86/609/EEC). Slices were cut on a vibratome to 250-μm thickness and continuously perfused with oxygenated aCSF containing (in millimolar): 127 NaCl, 2.0 KCl, 1.2 NaH2PO4, 26 NaHCO3, 1.3 MgCl2, 2.4 CaCl2, and 10 D-glucose, at room temperature during recording, unless stated otherwise. To identify the role of Ca2+ on oscillation parameters, “low-Ca2+” extracellular recording solution was used (in millimolar): 127 NaCl, 1.9 KCl, 1.2 NaH2PO4, 26 NaHCO3, 4.5 MgSO4, 0.15 CaCl2, and 10 D-glucose. Each slice was exposed only to a single bath application of pharmacological compounds and was used for a single experiment. Whole-cell current- and voltage-clamp recordings were performed with micropipettes filled with intracellular solution containing (in millimolar), 140 K-gluconate, 10 KCl, 10 HEPES, 10 EGTA, and 2 Na2ATP (pH 7.3) (with KOH), unless stated otherwise. Recordings were performed using a Multiclamp 700B amplifier, a DigiData 1440 digitizer, and pClamp10.2 software (Molecular Devices). Slow and fast capacitative components were automatically compensated. Access resistance was monitored throughout the experiments, and neurons in which the series resistance exceeded 15 MΩ or changed ≥20% were excluded from the statistics. Liquid junction potential was 16.4 mV and not compensated. The recorded current was sampled at 10 kHz and filtered at 2 kHz. Recordings were performed using a Multiclamp 700B amplifier, a DigiData 1440 digitizer, and pClamp10.2 software (Molecular Devices). To control for any effect on the oscillation due to long-time recording intervals, we performed recordings of up to 100 min without adding any drug (Figure S1); rhythmic behavior was maintained, and cycle duration did not change significantly over time. For details on in vitro electrophysiology, see Supplemental Experimental Procedures.
Statistical Analysis
Data analysis was performed with GraphPad Prism 6, Clampfit software (Molecular Devices), AxoGraph, OriginPro 8 (OriginLab), and custom written MATLAB scripts. Phase analysis for each recording was based on data obtained over five consecutive oscillation cycles. Control traces were collected after 10 min of baseline and immediately followed by drug application. Postsynaptic currents were analyzed using Mini Analysis 6.0.9 (Synaptosoft). Detection threshold was set at 3-fold the root-mean-square (RMS) noise level, which typically was 3–6 pA. Frequency, inter-event interval, and amplitudes were calculated as a mean of the values obtained during a 60-s recording period. For postsynaptic current phase analysis, 3-s samples of phase 1 and 1-s samples of phase 3 of three consecutive oscillation cycles were compared in control versus drug. The two-sample Kolmogorov-Smirnov (KS-2) test was used to compare pooled cumulative frequency distributions of each component in the absence versus the presence of quinpirole. Statistical significance was set at p < 0.05 and was determined using the appropriate two-tailed Student’s t test unless otherwise stated. Where it is stated that ANOVA was used, a one-way ANOVA was performed with the Bonferroni test in post hoc analysis. All data are presented as means ± SEM. Significance levels are indicated as: ∗ = p < 0.05; ∗∗ = p < 0.01; and ∗∗∗ = p < 0.001.
Author Contributions
S.S., D.J.L., and C.B. designed experiments. S.S. performed experiments and analysis. D.J.L. performed experiments presented in Figures 4E–4G. H.K. assisted with MATLAB code. S.S. and C.B. wrote the manuscript.
Acknowledgments
The authors thank Drs. Gilberto Fisone, Jessica Ausborn, Abdel El Manira, Gilad Silberberg, and members of the C.B. laboratory for advice, as well as Paul Williams for expert help with the graphical abstract. This study was supported by a Starting Investigator Grant from the ERC (ENDOSWITCH 261286), the Swedish Research Council (2010-3250), Novo Nordisk Fonden, and the Strategic Research Programme in Diabetes at Karolinska Institutet.
Published: April 14, 2016
Footnotes
Supplemental Information includes Supplemental Experimental Procedures, four figures, and two tables and can be found with this article online at http://dx.doi.org/10.1016/j.celrep.2016.03.062.
Contributor Information
Stefanos Stagkourakis, Email: stefanos.stagkourakis@ki.se.
Christian Broberger, Email: christian.broberger@ki.se.
Supplemental Information
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