Abstract
Propofol is an intravenous anesthetic that can active γ-aminobutyric acid A (GABAA) receptors and generate sedative–hypnotic effects. Propofol has been widely applied clinically to achieve sedation comparable to sleep in humans. The basal forebrain (BF) is a brain region that plays an important role in sleep-wake regulation. Previous studies suggest that propofol affects the sleep-wake circuit via the BF; however, the mechanism remains elusive. In the current study we investigated the effects of propofol on the inherent properties of cholinergic neurons and their ability to convert excitatory inputs into spikes in mouse BF slices using whole-cell patch clamp recordings. Bath application of propofol (10 μM) significantly elevated the threshold potentials (Vts), decreased the number of spikes in response to a depolarizing current injection, and augmented the inter-spike intervals (ISIs), energy barrier (Vts-Vrs), and absolute refractory periods (ARPs). These effects were eliminated by co-application of a GABAA receptor antagonist picrotoxin (50 μM). Altogether, our results reveal that propofol decreases the excitability of cholinergic neurons in mouse BF via GABAA receptors.
Keywords: propofol, basal forebrain, cholinergic neurons, picrotoxin, GABAA receptors, anesthesia
Introduction
Propofol has been widely used clinically as a short-acting anesthetic generating sedative–hypnotic effects, possibly by influencing the γ-aminobutyric acid A (GABAA) [1–3], histamine H1, and histamine H2 receptors [4]. The most accepted anesthetic mechanism of propofol mainly relates to sleep-wake control, as the anesthetic state is comparable to sleep. Previous studies have considered the involvement of propofol on GABAergic neurons of the cerebral cortex [5, 6], hippocampus [7, 8], or ventrolateral preoptic nucleus [9–11]. However, the influence of propofol on cholinergic neurons of the basal forebrain (BF) remains elusive.
The BF is a large, heterogeneous structure located close to the ventral surface of the rostral telencephalon, and it is mainly involved in sleep–wake control [12–14]. In addition, it contains diverse neuronal types, including cholinergic, glutamatergic, parvalbumin-positive (PV+ ) GABAergic and somatostatin-positive (SOM+) GABAergic neurons [15]. The cholinergic, glutamatergic and PV+ GABAergic neurons are wakefulness-promoting neurons [16, 17], while the SOM+ GABAergic neurons are sleep-promoting neurons [18, 19].
The cholinergic neurons in the BF are significantly different from the GABAergic and glutamatergic neurons. A previous study used whole-cell recordings in acute slices and retrospective choline acetyltransferase (ChAT) immunocytochemistry to identify cholinergic neurons, and the researchers found that cholinergic neurons were mostly large neurons (>20 μm) compared with the other two cell types [20, 21]. The subthreshold characteristics of ChAT+ and ChAT‒ neurons are similar. However, ChAT+ neurons fire at lower frequencies than ChAT– neurons do during tonic depolarization [22–24].
The cholinergic dysfunction in the basal forebrain potentiates the anesthetic effects of propofol [25]. The local connectivity between different BF cell types indicates that the sleep-promoting somatostatin-positive (SOM+) GABAergic neurons inhibit the cholinergic neurons [13]. However, changes in BF cholinergic neurons’ inherent properties and ability to convert excitatory inputs into spikes have not been assessed. Therefore, we hypothesized that propofol could change the excitabilities of cholinergic neurons in the BF, partly via GABAA receptors.
Materials and methods
Propofol (AstraZeneca, London, UK) was diluted with extracellular bathing solution to a final concentration of 10 μM immediately before the experiments [26, 27]. All other drugs (Sigma-Aldrich, St. Louis, USA) and all solutions (Sigma-Aldrich, St. Louis, USA) containing drugs were applied using a perfusion system (Longer Precision Pump Co., Ltd, Hebei, China) driven by gravitation.
BF slices and identification of cholinergic neurons
C57BL/6 mice weighing 16–18 g were housed under a 12 h light/dark cycle (lights on at 6:00 a.m.). Food and water were available ad libitum. All experiments were approved by the Administration Office of Laboratory Animals of Anhui Medical University and adhered to the guidelines of the Institutional Animal Care Unit Committee of Anhui Medical University.
BF slices (400 μm thick) were prepared from the C57BL/6 mice at 28 days after birth. All the mice were anesthetized by inhaling isoflurane and decapitated using a guillotine. The slices were cut using a vibratome (Leica Biosystems Inc. Buffalo Grove, United States) in oxygenated (95% O2/5% CO2) artificial cerebrospinal fluid (ACSF) containing (mM) 124 NaCl, 3 KCl, 1.2 NaH2PO4, 26 NaHCO3, 0.5 CaCl2, 4 MgSO4, 10 dextrose, and 5 HEPES, pH 7.35, at 4 °C. Then, the slices were moved to oxygenated ACSF containing (mM) 124 NaCl, 3 KCl, 1.2 NaH2PO4, 26 NaHCO3, 2.4 CaCl2, 1.3 MgSO4, 10 dextrose, and 5 HEPES, pH 7.35, at 25 °C for 1 h [28]. The slices were transferred to a submersion chamber perfused with the oxygenated ACSF at 30 °C for whole-cell patch clamp recordings.
In the preparation of slices, we selected the slice next to the anterior part of the anterior commissure (ACA) and the posterior part of the anterior commissure (ACP) because the ACA and ACP are clearly observed in the slice. Meanwhile, only one cell was recorded in each slice of BF because of the long wash-out time. Propofol (10 μM) was added to the ACSF to examine whether the inherent properties of the cholinergic neurons were changed. Picrotoxin (PTX, 50 μM) and propofol (10 μM) were added to the ACSF at the end of the experiment to examine whether GABAA receptors were involved in this function. Electrophysiological recordings on the neurons in BF were conducted under a microscope (Olympus Corporation, Tokyo, Japan). The cholinergic neurons were larger than the other neurons, and most were in the substantia innominata (SI) of the BF.
Whole-cell patch clamp recordings
The neurons were recorded using a MultiClamp-700B amplifier (Molecular Device, San Jose, CA, USA) in current-clamp mode. Electrical signals were recorded using the pClamp-10 software (Axon Instrument Inc., San Jose, CA, USA) for data acquisition and analysis. The patch clamp recordings were sampled at 50 kHz and low-pass-filtered at 10 kHz. The pipette solution for recording the spikes contained (in mM) 150 K-gluconate, 5 NaCl, 5 HEPES, 0.4 EGTA, 4 Mg-ATP, 0.5 Tris-GTP, and 5 phosphocreatine (pH 7.35) [28]. The pipette solutions were freshly made and filtered (0.1 mm) before use. The osmolarity was 295–305 mOsmol, and the pipette resistance was 5–6 MΩ.
The action potentials of the BF neurons were induced by injecting depolarization pulses. The ability to convert excitatory inputs into digital spikes was evaluated by the input–output relationship when a series of stimuli with gradually increasing intensity were given, as well as by the inter-spike intervals (ISIs) when the same stimulus intensity and duration were given. The neural-intrinsic properties of the threshold potentials (Vts), resting potentials (Vrs), and absolute refractory periods (ARPs) were used to evaluate the neuronal excitability. We did not measure the rheobase to show neuronal excitability, as this strength–duration relationship is used to indicate the ability to fire a single spike; the ability to produce sequential spikes was measured in the current study. The energy barrier (Vts–Vrs), which is the difference of the membrane potential between Vrs and Vts, was demonstrated by injecting a threshold stimulus. ARPs were measured by injecting paired-depolarization pulses (3 ms, four times higher than the threshold intensity) into the neurons, with a specific interpulse duration, after each spike. By changing the inter-pulse intervals, the ARPs were defined as the time from a complete spike to the next spike at 50% probability. We first recorded ISIs, Vts, Vrs, and APRs before the drug application (approximately 10 min). The four indexes were recorded again 5 min after 10 μM propofol or 50 μM PTX + 10 μM propofol application [29, 30].
The data were analyzed if the recorded neurons exhibited negative resting membrane potentials more than –60 mV. The criteria for the acceptance of each experiment also included less than 5% changes in the resting membrane potential, spike magnitude, and input resistance throughout the experiment. The series and input resistances in all the neurons were monitored by injecting hyperpolarization pulses (5 mV/50 ms) and were calculated by the voltage pulses vs. instantaneous and steady-state currents. To estimate the effects of propofol on neuronal spikes, the energy barrier, ISIs, input–output, and ARPs, neurons in the slices were measured before and after propofol administration.
Statistical analyses
The data from the electrophysiological recordings are presented as the mean ± standard error of the mean. The paired t-test was used in the statistical comparisons of the experimental data before and after administering propofol in the threshold stimulus intensity and absolute refractory periods. Repeated-measures one-way ANOVA with post hoc comparisons was used to make statistical comparisons in the input-output, ISIs and energy barrier between before and after drug administration. All data were confirmed to be normally distributed with equal variances before statistical comparisons.
Results
The basic property of action potential firing in ChAT+ and ChAT– neurons
Previous studies [20–24] have demonstrated the electrophysiological properties of cholinergic and noncholinergic neurons in the BF. The action potentials of ChAT+ and ChAT‒ neurons have different characteristics in whole-cell patch clamp recordings. Here, the action potential firing characteristics of ChAT+ neurons and ChAT‒ neurons were recorded using the same stimulus (Fig. 1) [22]. The ChAT+ neurons were magnocellular neurons, and they fired at lower frequencies than the ChAT‒ neurons stimulated by tonic depolarization.
Enhancement of threshold stimulus intensity of BF cholinergic neurons by propofol
The intensity of the injected depolarization pulse that just induced an action potential was called the threshold stimulus intensity (Fig. 2a). Compared with the pre-propofol group, the threshold stimulus intensity of the BF ChAT+ neurons was increased by approximately 35% in the post-propofol group. The threshold stimulus intensity was 77.01 ± 6.54 pA in the pre-propofol group and 105.01 ± 7.15 pA in the post-propofol group (P < 0.05, pre-propofol compared with post-propofol; n = 10 neurons from 10 mice; Fig. 2b). At the end of the experiment, the threshold stimulus intensity recovered to the pre-propofol level (P > 0.05, pre-propofol compared with wash out; n = 5 neurons from 5 mice; Fig. 2b). Moreover, there was no significant difference in the Vrs before and after propofol administration (P > 0.05, pre-propofol: 64.75 ± 1.81 mV; Post-propofol: 65.28 ± 1.93 mV; n = 10 neurons from 10 mice). These results indicate that the threshold stimulus intensity for BF cholinergic neurons was enhanced after propofol administration.
Downregulation of the excitability of BF cholinergic neurons by propofol
A previous study [25] indicated that cholinergic neurons were involved in anesthesia function by intraperitoneal administration of propofol in rats. However, the cellular mechanism of this effect is still unknown. Here, we analyzed the input–output curve and ISIs of cholinergic neurons in the BF before and after propofol administration.
Cholinergic neurons’ ability to convert excitatory inputs into digital spikes was demonstrated by a series of stimuli with gradually increased intensity under current-clamp recordings (Fig. 3a). The numbers of spikes increased according to the increasing intensity of the stimulus. Nevertheless, propofol significantly decreased the number of spikes compared with the pre-propofol results under the same stimulus intensity (P < 0.05, pre-propofol compared with post-propofol; n = 10 neurons from 10 mice; Fig. 3b). The input–output curve for the pre-propofol neurons shifted right and down after propofol administration.
The ISIs, which represented the time interval between two neighboring spikes under the threshold stimulus intensity, were also measured. Spiking traces in cholinergic neurons of the BF from pre-propofol (red) and post-propofol (blue) groups, respectively, were induced by stimuli with the same intensity and duration (Fig. 4a). The ISIs values of spikes 1–2, 2–3, 3–4, and 4–5 were 17.86 ± 1.89, 30.80 ± 1.91, 37.38 ± 1.74, and 40.33 ± 1.91 ms, respectively, in the pre-propofol group and 21.75 ± 1.84, 35.60 ± 1.90, 42.64 ± 1.89, and 47.14 ± 1.92 ms in the post-propofol group (P < 0.05, pre-propofol compared with post-propofol; n = 10 neurons from 10 mice; Fig. 4b). Thus, the ISIs was significantly prolonged after propofol administration. This indicated that propofol downregulated the ability of BF cholinergic neurons to convert the excitatory inputs into digital spikes.
The excitability of the cholinergic neurons was also evaluated by the ARPs and the energy barrier, which reflected the characteristics of voltage-gated sodium channels. The ARPs were measured by injecting paired-depolarization pulses (3 ms, four times higher than the threshold intensity) with a specific interpulse interval under current-clamp recordings, which generated two action potentials. By changing the interpulse intervals, the ARPs were defined as the time latency when the subsequent spike was at 50% probability (Fig. 5a). The ARP values of the spikes were 6.44 ± 0.59 ms in the pre-propofol group and 7.1 ± 0.66 ms in the post-propofol group (P < 0.05, pre-propofol compared with post-propofol; n = 10 neurons from 10 mice; Fig. 5b).
The energy barrier, which was the difference in the membrane potential from Vrs to Vts, was demonstrated by injecting a threshold stimulus (Fig. 6a). The energy barrier values of spikes 1–4 were 25.21 ± 0.80, 28.37 ± 0.85, 29.62 ± 0.78, and 30.20 ± 0.80 mV, respectively, in the pre-propofol group and 27.58 ± 0.79, 30.25 ± 0.81, 31.15 ± 0.79, and 31.78 ± 0.84 mV in the post-propofol group (P < 0.05, pre-propofol compared with post-propofol; n = 10 neurons from 10 mice; Fig. 6b). Both the ARPs and energy barriers of the spikes were significantly enhanced after propofol administration. This indicated that propofol might downregulate the excitability of BF cholinergic neurons.
Involvement of GABAA receptors in the decreased excitability of BF cholinergic neurons by propofol
Propofol is believed to exert its anesthetic effect through GABAA receptors [1–3]. Therefore, the GABAA receptor antagonist PTX was used to examine the role of this family of receptors. The shifting of the input–output curve evoked by propofol was reversed by PTX (P < 0.05, post-propofol compared with post-PTX + propofol; n = 9 neurons from 9 mice; green in Fig. 3). The increment of ISIs by propofol was also reversed by PTX (the values of ISIs between spikes 1–2, 2–3, 3–4, and 4–5 were 21.75 ± 1.84, 35.60 ± 1.90, 42.64 ± 1.89, and 47.14 ± 1.92 ms in the post-propofol group, and 19.37 ± 1.83, 31.42 ± 1.75, 39.17 ± 1.93, and 43.75 ± 1.84 ms in the post-PTX + propofol group, P < 0.05, post-propofol compared with post-PTX + propofol; n = 9 neurons from 9 mice; green in Fig. 4). PTX also reversed ARP prolongation by propofol (7.1 ± 0.66 ms in the post-propofol group and 6.58 ± 0.63 ms in the post-PTX + propofol group, P < 0.05, post-propofol compared with post-PTX + propofol; n = 9 neurons from 9 mice; green in Fig. 5). Similarly, PTX reversed the increased energy barrier by propofol (the values of energy barrier of spikes 1–4 were 27.58 ± 0.79, 30.25 ± 0.81, 31.15 ± 0.79, and 31.78 ± 0.84 mV in the post-propofol group and 25.90 ± 0. 67, 28.88 ± 0. 72, 30.12 ± 0.81, and 30.57 ± 0. 78 mV in the post-PTX + propofol group, P < 0.05, post-propofol compared with post-PTX + propofol; n = 9 neurons from 9 mice; green in Fig. 6). We also examined whether propofol was still effective in the presence of PTX. As a result, propofol had no effect on cholinergic neurons of the BF in the presence of PTX (data not shown).
Discussion
Sleep and general anesthesia might share some similar neural pathways. Certain brain areas involved in sleep also play important roles in general anesthesia [31–33]. Propofol is an intravenous anesthetic that has been widely applied clinically to sedate patients. The BF is mainly involved in sleep–wake control, and the cholinergic neurons in BF are wakefulness-promoting neurons. Despite its worldwide application in clinical trials, the mechanism of propofol has still not been clearly clarified.
Electrophysiological studies suggest that the features of slow waves are similar between non-REM sleep and sedation under propofol [34, 35]. The active area of propofol is associated with the brain nucleus and neural circuits of sleep [36]. Ventrolateral preoptic nucleus (VLPO) is a sleep-promoting center. Noradrenalin-inhibited (NA−) GABAergic neurons in VLPO promote sleep, and propofol can activate NA (−) neurons by inhibiting GABAergic transmission [36]. NA (−) neurons in VLPO and cholinergic neurons in BF also play important roles in wake–sleep control. The cholinergic neurons are distributed throughout the BF and mainly arise from the SI of the BF [37]. Many ChAT+ neurons located in the rostral BF maintain wakefulness, while the other ChAT neurons, located in the caudal region of the BF, innervate the suprachiasmatic nucleus, the circadian pacemaker [38, 39]. In our study, the neurons were mainly selected from these two regions. Recently, a whole-brain atlas of the cholinergic system was completed, clarifying the distribution of cholinergic neurons in the brain [40]. In the local wake-sleep circuit of BF, the role of cholinergic neurons and the SOM+ GABAergic neurons is bidirectional [41]. Activation of SOM+ neurons may facilitate spontaneous transitions into non-REM sleep by direct postsynaptic inhibition of wake-promoting cholinergic neurons.
Propofol exerts its sedative effect via GABAA receptors. PTX, a competitive GABAA receptor antagonist, can block both the phasic current and the tonic currents. Clinically relevant concentrations of propofol induce a greater increase in tonic currents [42]. The tonic GABA current is different from the GABA current of quantal synaptic transmission because receptors underlying tonic activation may be different from receptors underlying phasic activation. Drugs that potentiate the functions of GABAA receptors, for example, the benzodiazepines, also increase the tonic GABA currents, but the amplitude enhancement of tonic currents is different [43, 44].
Here, we report the influence of propofol on the inherent excitatory properties of BF cholinergic neurons by patch clamp recordings. We recorded the input–output curve, ISIs, ARPs and energy barrier of BF cholinergic neurons and found the downregulation of the inherent excitatory properties after propofol application. Hyperpolarization of the neurons can affect the inherent excitatory properties. In order to exclude the influence of the Vrs, we analyzed the Vrs and found no significant difference in the Vrs before and after propofol administration. Additionally, those effects were eliminated by PTX, a GABAA receptor antagonist. To our knowledge, this is the first exploration of the influence of propofol on the inherent excitability of cholinergic neurons. In brief, propofol can decrease the excitability of cholinergic neurons via GABAA receptors.
Acknowledgements
We thank Dr. Zhi-gang XIONG for critical comments on the manuscript. This study was supported by the National Natural Science Foundation of China (81571293 to L-cW; 81500949 to Z-lY; 81571039 to X-sL) and the National Century Excellent Talents in University of China (gxbjZD2016034 to L-cW).
Author contributions
X-sL and L-cW designed the research; LC and Z-lY mainly performed the research; JC, P-pZ and L-sZ partly performed the research and analyzed the data; LC and L-cW analyzed the data and wrote the paper.
Competing interests
The authors declare no competing interests.
Contributor Information
Xue-sheng Liu, Email: liu711029@hotmail.com.
Lie-cheng Wang, Email: wangliecheng@ahmu.edu.cn.
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