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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
J Neurosci. Author manuscript; available in PMC 2011 January 1.
Published in final edited form as:
PMCID: PMC2910363
NIHMSID: NIHMS219229

Anesthetic activation of central respiratory chemoreceptor neurons involves inhibition of a THIK-1-like background K+ current

Abstract

At surgical depths of anesthesia, inhalational anesthetics cause a loss of motor response to painful stimuli (i.e., immobilization) that is characterized by profound inhibition of spinal motor circuits. Yet, although clearly depressed, the respiratory motor system continues to provide adequate ventilation under these same conditions. Here, we show that isoflurane causes robust activation of CO2/pH-sensitive, Phox2b-expressing neurons located in the retrotrapezoid nucleus (RTN) of the rodent brainstem, in vitro and in vivo. In brainstem slices from Phox2b-eGFP mice, the firing of pH-sensitive RTN neurons was strongly increased by isoflurane, independent of prevailing pH conditions. At least two ionic mechanisms contributed to anesthetic activation of RTN neurons: activation of a Na+-dependent cationic current and inhibition of a background K+ current. Single cell RT-PCR analysis of dissociated GFP-labeled RTN neurons revealed expression of THIK-1 (K2P13.1), a channel that shares key properties with the native RTN current (i.e., suppression by inhalational anesthetics, weak rectification, inhibition by extracellular Na+, and pH-insensitivity). Isoflurane also increased firing rate of RTN chemosensitive neurons in urethane-anesthetized rats, again independent of CO2 levels. In these animals, isoflurane transiently enhanced activity of the respiratory system, an effect that was most prominent at low levels of respiratory drive and mediated largely by an increase in respiratory frequency. These data indicate that inhalational anesthetics cause activation of RTN neurons, which serve an important integrative role in respiratory control; the increased drive provided by enhanced RTN neuronal activity may contribute, in part, to maintaining respiratory motor activity under immobilizing anesthetic conditions.

INTRODUCTION

Inhalational anesthetics produce various clinically important actions, including hypnosis, amnesia and immobility (Eger et al., 1997). Of particular importance is the ability of these compounds to produce an immobilized state, defined by the lack of movement in response to painful stimuli (Eger et al., 1997). It is believed that different anesthetic actions involve distinct molecular targets in specific neural pathways; for immobilization, the site of action is spinal (Rudolph and Antkowiak, 2004; Grasshoff et al., 2005; Franks, 2008). Although the precise substrates for immobilizing actions are not known with certainty, it is nevertheless clear that anesthetics cause a depression of motor output that is general and profound (Kendig, 2002; Sonner et al., 2003). Despite widespread inhibition of motor function observed at immobilizing anesthetic concentrations, it is interesting (indeed crucial) that the respiratory motor system remains operational under those same conditions. Why, then, is the respiratory system relatively resistant to inhibition by inhalational anesthetics?

The networks that control breathing are generally similar to those regulating other motor outputs (reviewed in Feldman et al., 2003). A rhythmogenic central pattern generator located within the caudal brainstem drives respiratory motoneurons that control airway patency and ventilatory musculature. As with other motor systems (Kendig, 2002; Sonner et al., 2003), many neuronal elements within this system are inhibited by inhalational anesthetics (Koizumi et al., 2010); whereas this inhibition surely contributes to the well-known respiratory depression during anesthesia (Evers et al., 2006), it does not readily explain the selective maintenance of respiratory motor activity. In order to generate ongoing regular rhythmic activity, the respiratory system receives tonic excitatory drive from multiple sources (Feldman et al., 2003). One source – the Phox2b-expressing, glutamatergic neurons of the retrotrapezoid nucleus (RTN) – is becoming recognized as critical (Feldman et al., 2003; Guyenet et al., 2009). These RTN neurons were first celebrated for their CO2/pH sensitivity and role in providing central chemoreceptor drive to the respiratory systems (Mulkey et al., 2004). Subsequently RTN neurons were identified as a site of integration for excitatory inputs from many other sources (e.g., from peripheral respiratory chemoreceptors, hypothalamic and aminergic neurons; Guyenet et al., 2009). Since direct stimulation of RTN neurons with a light-activated cation channel selectively expressed in Phox2b-expressing cells causes increased respiratory output (Abbott et al., 2009), it is clear that elevated firing in these neurons provides enhanced drive to brainstem respiratory control networks.

We recently found that halothane inhibits a pH-insensitive background K+ current in chemosensitive RTN neurons (Mulkey et al., 2007), an effect that should cause membrane depolarization and increase excitability. In this work, we demonstrate that action potential discharge of chemosensitive, Phox2b-expressing RTN neurons is strongly enhanced by isoflurane, both in vitro and in vivo. The ionic mechanism includes activation of an unidentified Na+-dependent inward current as well as inhibition of a background K+ current with properties reminiscent of THIK-1 (K2P13.1; Rajan et al., 2001). In urethane-anesthetized rats, increased RTN discharge was invariably associated with a transient increase in respiratory frequency that could even re-activate subthreshold phrenic nerve activity. These data suggest that activation of RTN neurons by inhalational anesthetics can provide enhanced excitatory drive to partially offset concomitant inhibition of other elements within the respiratory motor system, allowing maintained ventilatory activity during anesthetic-induced immobilization.

METHODS

All animal use was in accordance with National Institutes of Health Animal Care and Use Guidelines and approved by the Animal Care and Use Committee of the University of Virginia. We used male or female mice and male rats for these studies.

Phox2b-GFP mice

In the presentstudy, we used two lines of BAC transgenic mice in which eGFP expression is directed selectively to Phox2b-expressing neurons; the derivation and salient properties of these mice have been described previously (Lazarenko et al., 2009). In both sets of mice, GFP expression is prominent in pH-sensitive neurons of the RTN. In the medulla oblongata of the so-called B/G mouse, GFP expression is limited to a subset of RTN neurons (approximately half) and is not present in other Phox2b-immunopositive neurons. In the Jx99 mouse line, GFP expression is more widespread and appears to reflect more faithfully the overall distribution of Phox2b-expressing brainstem neurons. The reason for the more restricted expression in the B/G mouse is not known, but we found that properties of GFP-expressing RTN neurons were not different in the two mouse lines (Lazarenko et al., 2009). In addition, each mouse line presents distinct advantages. The greater number of GFP-expressing cells in Jx99 yields increased opportunities for recording in brainstem slices where the RTN can be unequivocally identified by its anatomic location ventral to the facial motor nucleus. For molecular analysis of dissociated neurons, where anatomic landmarks are lost, the more restricted expression characteristic of the B/G mouse allows confident selection of RTN neurons based on GFP fluorescence. Thus, electrophysiological recordings were typically (but not exclusively) obtained from GFP-expressing RTN neurons of Jx99 mice whereas molecular analysis was performed only using dissociated RTN neurons derived from B/G mice.

Electrophysiological recordings in brainstem slices

Transverse brainstem slices from neonatal (P6–P10) Phox2b-eGFP mice were prepared as described previously (Lazarenko et al., 2009). Briefly, mice were anesthetized with ketamine (375 mg/kg) and xylazine (25 mg/kg), i.m. and rapidly decapitated; brainstems were removed and slices (300 μm) cut in the coronal plane with a microslicer (DSK 1500E; Dosaka) in ice-cold substituted Ringer’s solution containing (in mM): 260 sucrose, 3 KCl, 5 MgCl2, 1 CaCl2, 1.25 NaH2PO4, 26 NaHCO3, 10 glucose, and 1 kynurenic acid. Slices were incubated for 30 min at 37°C and subsequently at room temperature in a normal Ringer’s solution containing (in mM): 130 NaCl, 3 KCl, 2 MgCl2, 2 CaCl2, 1.25 NaH2PO4, 26 NaHCO3, and 10 glucose. Both substituted and normal Ringer’s solutions were bubbled with 95% O2 and 5% CO2.

We targeted the eGFP-fluorescent subpopulation of Phox2b-expressing RTN neurons for loose patch and whole cell voltage clamp recordings (Lazarenko et al., 2009). All recordings were obtained from coronal slices in a chamber on a fixed-stage fluorescence microscope with infrared Nomarski optics (Zeiss Axioskop FS); slices were perfused continuously (~2 ml/min) with a bath solution containing (in mM): 140 NaCl, 3 KCl, 2 MgCl2, 2 CaCl2, 10 HEPES, 10 glucose. We added a cocktail of blockers (10 μM CNQX, 10 μM bicuculline and 30 μM strychnine) to inhibit fast excitatory (glutamate) and inhibitory transmitters (GABA, glycine). The pH of the bath solution was adjusted between 7.0 and 8.0 by addition of HCl or NaOH. For some experiments, we replaced extracellular Na+ with equimolar N-methyl D-glucamine (NMDG+). All recordings were performed at room temperature. Patch electrodes had a DC resistance of 3–6 MΩ when filled with internal solution containing (mM): 120 KCH3SO3, 4 NaCl, 1 MgCl2, 0.5 CaCl2, 10 HEPES, 10 EGTA, 3 Mg-ATP, 0.3 GTP-Tris, 0.05 ZD-7288, pH 7.2; electrode tips were coated with Sylgard 184 (Dow Corning). Tedrodotoxin (TTX, 1 μM) was routinely added to the bath for voltage clamp recordings of isoflurane-sensitive currents.

Recordings were obtained using an Axopatch 200B amplifier and a Digidata 1322A analog-to-digital converter with pClamp 9.0 software (all from Molecular Devices, Sunnyvale, CA). Firing rate histograms were generated by integrating action potential discharge in 10-s bins using Spike 5.0 software (Cambridge Electronic Design, CED, Cambridge, U.K.). We determined pH sensitivity of individual RTN neurons by plotting firing rate at different bath pH and interpolating the pH value at which firing rate was reduced to half of that obtained at pH 7.0 (pH50) by using linear regression analysis (Excel). The frequency distribution plot of pH50 values was fitted with a double Gaussian function using Origin (v. 7.0). To characterize anesthetic-sensitive currents under whole cell voltage clamp, we obtained steady state current-voltage (I-V) relationships from a holding potential of −60 mV by applying voltage steps (from −40 mV to −120 mV, in 10mV increments) under control conditions and in the presence of isoflurane; isoflurane-sensitive I-V curves were obtained in each cell by subtraction and the data from individual cells were averaged for presentation.

Neurophysiological experiments in vivo

Experiments were performed on male Sprague-Dawley rats (n=9) weighing between 240 and 350 g. General anesthesia was induced with 5% isoflurane in pure oxygen. Rectal temperature was maintained close to 37.5°C with a servo-controlled heating pad. Surgery was performed under artificial ventilation with 3% isoflurane in pure oxygen (~1 ml/100 g, 70–80 cycles/min). Expired CO2 was monitored with a capnometer (Columbus Instruments, Columbus, OH, USA) and end-tidal CO2 was determined from the peak CO2 value registered by the capnometer at the end of expiration, averaged for at least 10 breaths. The rats were subjected to the following surgical procedures, as described previously (Fortuna et al., 2008; 2009): bilateral vagotomy in the neck; femoral artery cannulation for arterial pressure (AP) measurements; femoral vein cannulation for fluid and drug administration; phrenic nerve dissection via a dorsolateral approach; and placement of a burr hole in the occipital plate to insert a recording electrode into the left medulla oblongata. Finally, a bipolar stimulation electrode was inserted next to the mandibular branch of the facial nerve in order to map the facial motor nucleus with antidromic field potentials as a guide to locate the immediately adjacent retrotrapezoid nucleus. During surgery the adequacy of the anesthesia was gauged by the fact that nociceptive stimuli applied to the tail and hind legs produced no movement or change in blood pressure.

Before the recording period, isoflurane anesthesia was replaced by urethane. A 10% urethane solution (in 0.9% NaCl, iv) was injected with a syringe pump at a dose of 1.3–1.5 g/kg for a period of ~30 min, while isoflurane was gradually removed. After a period of equilibration during which we verified that the previous anesthesia criteria were still in effect, the rats were given the muscle relaxant pancuronium (1 mg/kg, iv). The level of anesthesia was thereafter gauged by stability of the arterial pressure, absence of phrenic nerve activation during application of a firm tail or toe pinch and a blood pressure response of less than 10 mmHg to these same stimuli.

Phrenic nerve discharge (PND) was recorded with a bipolar wire electrode, filtered (200–3000Hz), rectified and integrated as described previously (Mulkey et al., 2004; Fortuna et al., 2009). Unit recordings were made with glass pipettes filled with 2 M NaCl (7–12 MΩ). All analog data (end-tidal CO2, PND, unit activity) were acquired via a micro-1401 digitizer from Cambridge Electronic Design (CED, Cambridge, UK) and were processed off-line using version 5 of the Spike 2 software (CED) as described previously (Mulkey et al., 2004; Takakura et al., 2006; Moreira et al., 2007). Processing included action potential discrimination, measurement of neuronal discharge rate and PND ‘integration’, consisting of full-wave rectification and smoothing (time constant 0.03 s).

Prior to testing effects of isoflurane on RTN discharge and central respiratory output, we first adjusted ventilator rate and volume to lower end-tidal CO2 sufficiently to silence the phrenic nerve. The ventilator was then maintained with those settings thereafter and various amounts of CO2 were bled into the breathing mixture to increase end-tidal CO2 and achieve different levels of central respiratory drive. Each CO2 level was maintained for ~3–5 min in order to reach steady state respiratory output (RTN neurons and PND), at which time isoflurane was administered from a calibrated vaporizer via the inspirate and effects on RTN discharge rate, phrenic nerve frequency and amplitude were determined. In order to control for isoflurane effects on blood pressure, we administered a sodium nitroprusside solution (9 or 18 μg/ml in saline, iv) in volumes that were determined to produce the same decrease in blood pressure as that evoked by isoflurane (usually 40–100 μl).

Single-cell RT-PCR from acutely dissociated GFP-expressing RTN neurons

Neurons were dissociated acutely from neonatal (P7–P10) brainstem slices prepared from B/G Phox2b-eGFP mice, essentially as described (Hempel et al., 2007; Lazarenko et al., 2009). After incubation in normal Ringer’s solution, slices were placed in an oxygenated chamber (bubbled with 95% O2/5% CO2) at room temperature containing pronase (Sigma protease Type XIV, 1–2 mg/ml) in low-Ca2+ Ringer’s solution (0.1 mM Ca2+). After 30 min of enzyme digestion, the tissue was rinsed multiple times in low-Ca2+ Ringer’s solution and normal Ringer’s solution before transfer to HEPES-buffered bath solution. The RTN region was microdissected and triturated into single-cell suspension by using 300 μm fire-polished Pasteur pipettes. The cell suspension was plated into HEPES-based buffer in a chamber on the microscope. Cells were allowed to settle on the floor of chamber for 10 min at room temperature and eGFP+ cells were collected for molecular analysis.

Single cell RT-PCR was performed on dissociated eGFP+ RTN neurons (Yan and Surmeier, 1996; Lazarenko et al., 2009). In short, baked and silanized pipettes were filled with sterile internal solution containing 10x RT buffer and RNaseOUT (Superscript III, Invitrogen) and lowered onto eGFP+ cells visualized on a Zeiss AxioExaminer fluorescence microscope. The eGFP+ cells were aspirated into the pipette and ~1 μl of internal solution containing the cytoplasmic contents were expelled into a sterile tube containing dNTPs, BSA, RNaseOUT, oligo-dT and random hexamers; this pre-RT mixture was incubated at 65°C for 5 minutes, cooled on ice for 1 minute and stored at −70°C. First strand cDNA synthesis was performed with Superscript III Reverse Transcriptase, RNA was digested with RNase H and cDNA stored at −20°C. Single cell cDNA was amplified using two rounds of conventional PCR (GoTaq, Promega) with pairs of gene-specific outside (1st round) and nested primers (2nd round) for Phox2b, GAPDH, VGlut2, GAD1 (GAD67) and THIK-1; all primer pairs were intron-spanning (see Supplemental Material for primer sequences). The PCR conditions were as follows: 95°C (120 s); 35 cycles of 95°C (40 s), 59°C (40 s) and 72°C (20–40 s); 72°C (300 s). We included no template negative control reactions in each experiment; amplification of GAPDH mRNA served as a positive control. PCR products were separated by electrophoresis on agarose gels. Data were only included from experiments in which no PCR product was obtained from the no template control and from cells in which there was a positive signal for at least one of the genes.

Data acquisition and analysis

Results are presented as mean ± SEM. Data were analyzed statistically using analysis of variance (ANOVA) or Student’s t-test; post-hoc pairwise comparisons used Bonferroni or Holm-Sidak methods. In all cases, differences in mean values were considered significant if P<0.05.

RESULTS

Inhalational anesthetics increase excitability of RTN chemoreceptor neurons in vitro

We used cell-attached loose patch recordings to examine effects of inhalational anesthetics on firing activity of GFP-labeled RTN chemoreceptor neurons in brainstem slices from Phox2b-eGFP mice (Lazarenko et al., 2009). As depicted for a pH-sensitive RTN neuron in Fig. 1A, bath alkalization from pH 7.3 to pH 7.5 reduced spontaneous discharge and further alkalization to pH 7.8 essentially silenced the neuron; firing rate recovered to above control levels upon subsequent bath acidification (from pH 7.8 to pH 7.0). Application of 2% isoflurane to this cell at pH 7.3 evoked a marked increase in discharge. Firing rate responses to changes in bath pH persisted in the continued presence of isoflurane: bath alkalization from pH 7.3 diminished whereas bath acidification increased firing rate from the new, isoflurane-elevated discharge level. Isoflurane increased spontaneous discharge in all RTN neurons tested (n=61, from 2.7 ± 0.2 Hz to 4.8 ± 0.3 Hz at pH 7.3; P<0.0001). The averaged firing rate for a group of RTN neurons tested at different extracellular pH levels under control conditions and in the presence of isoflurane is plotted in Fig. 1B; note that the increase in firing by isoflurane was similar irrespective of prevailing pH, as reflected in virtually identical slopes of regression lines describing the relationship between RTN neuron firing and bath pH under both conditions (i.e., the pH sensitivity was not changed by isoflurane).

Figure 1
Isoflurane activates chemosensitive RTN neurons

We previously documented the existence of two populations of spontaneously active chemosensitive RTN neurons in Phox2b-eGFP mice that could be distinguished based on initial firing rates and the pH range over which the cells maintained firing (Lazarenko et al., 2009): Type I cells have lower baseline firing rates and are silenced by mild extracellular alkalization (i.e., to pH 7.5) whereas Type II cells fire more rapidly under control conditions and require more extreme bath alkalization to cease discharge (i.e., to pH 7.8–8.0; see cell in Fig. 1A). We determined a pH value at which the firing rate was reduced by 50% from the peak discharge obtained at pH 7.0 for each RTN neuron; the frequency distribution of cells based on these derived pH50 values, shown in Fig. 1C, indicates an approximately equal representation of Type I and Type II cells in the overall population (Type I <pH50 7.42 < Type II). Again, there was a clear relationship between initial firing rate and pH50 value (Fig. 1D), as previously described (Lazarenko et al., 2009). In addition, for both cell types, we found a similar degree of activation by isoflurane (Δ firing rate ~2 Hz; Type I: 2.1 ± 0.3 Hz, n=30; Type II: 2.1 ± 0.2 Hz, n=27) and no change in pH sensitivity by isoflurane in subgroups of Type I and Type II RTN neurons studied under different bath pH conditions (Fig. 1E).

We also examined effects on RTN firing activity of chloralose and urethane, an anesthetic combination commonly used for in vivo experiments in animal models. As shown for the exemplar pH-sensitive RTN neuron in Fig. 1F, isoflurane caused a strong increase in firing rate to approximately the same level as seen with bath acidification (to pH 7.0). By contrast, firing was inhibited by chloralose and urethane in the same cell. The neuron retained its pH sensitivity in the presence of chloralose-urethane since bath acidification to pH 7.0 caused an increase in firing comparable to that seen under acidified conditions before anesthetic exposure (Δ ~3 Hz). Averaged data revealed a significant decrease in firing rate in the presence of chloralose-urethane (Fig. 1G); a similar effect on RTN neuronal firing was also observed with urethane alone (decreased from 1.7 ± 0.9 Hz to 0.7 ± 0.6 Hz; n=4).

Anesthetics inhibit a background K+ conductance in a subset of RTN chemoreceptor neurons

The data presented above indicate that isoflurane excites GFP-expressing RTN chemosensitive neurons recorded from Phox2b-eGFP mice. We performed whole cell voltage clamp experiments on these cells in order to determine the ionic basis for this excitatory effect. Isoflurane induced an inward shift in holding current in nearly all cells (~87%, n=62/71). In these neurons, the isoflurane-induced inward current was 6.0 ± 0.8 pA (at −60 mV, n=62); in the remaining few cells, isoflurane had either little effect or evoked a slight outward current shift (5.3 ± 1.0 pA at −60 mV, n=9).

For the RTN neuron depicted in Fig. 2A, the isoflurane-induced current (Fig. 2A, upper panel) was associated with a net decrease in conductance (Fig. 2A, lower panel). This type of response to isoflurane (i.e., inward current with decreased conductance) was observed in approximately half the cells studied (~49%, n=35/71); it was reminiscent of responses observed in functionally identified chemosensitive RTN neurons in the rat, which we attributed to an isoflurane-evoked decrease in background K+ conductance (Mulkey et al., 2007). Indeed, the averaged isoflurane-inhibited current in this subgroup of GFP-expressing mouse RTN neurons displayed a weakly rectifying current-voltage (I-V) profile and reversed near EK (~−90 mV), as expected for a background K+ current (Fig. 2B).

Figure 2
Multiple anesthetic-sensitive currents in RTN neurons, including an isoflurane-inhibited background K+ channel

It is important to point out that the isoflurane-sensitive inward current was associated with an opposite effect on input conductance in a substantial population of RTN neurons (~38%, n=27/71): isoflurane caused a net increase rather than a decrease in conductance, implying activation of a cationic current component (Fig. 2C). As shown in Fig. 2D, when averaged across all RTN neurons, the I-V relationship of isoflurane-sensitive current showed no clear reversal potential, as expected for contributions from multiple anesthetic-sensitive currents. These different responses to isoflurane did not track with the two types of cells distinguished above based on pH50 values. Isoflurane produced both decreases and increases in input conductance in either Type I or Type II cells and the averaged isoflurane-sensitive I-V relationship for both cell types was similar in shape to that represented in Fig. 2C for the entire population (data not shown).

Together, these data indicate that multiple conductances contribute to the net isoflurane-sensitive current in RTN neurons. However, in the subset of these neurons in which isoflurane caused a net decrease in conductance it appears that inhibition of an anesthetic-sensitive background K+ conductance is the predominant ionic mechanism.

RTN neurons express THIK-1 and a THIK-1-like isoflurane-inhibited background K+ current

The K2P family of K+ channels contributes to background K+ currents in a number of cellular contexts (Lesage and Lazdunski, 2000; Goldstein et al., 2001; Talley et al., 2003). Among K2P channels that are sensitive to inhalational anesthetics, most show an increase in activity when exposed to the drugs (Patel and Honore, 2001). The notable exception is the TWIK-related halothane-inhibited K+ channel, THIK-1 or K2P13.1, which is inhibited by inhalational anesthetics (Rajan et al., 2001). Thus, we sought to determine if THIK-1 is expressed in RTN neurons, and if the properties of the RTN neuronal isoflurane-inhibited K+ current resemble those of THIK-1.

In our previous work, we showed that chemosensitive RTN neurons are the only GFP-fluorescent cell population in the caudal brainstem of B/G mice (Lazarenko et al., 2009). Therefore, RTN neurons dissociated from B/G mouse brainstem slices could be confidently selected for single cell RT-PCR based on GFP fluorescence (Fig. 3A, left). We developed a multiplex nested PCR reaction in order to assay THIK-1 expression in individual RTN neurons while simultaneously examining other genes to verify that selected cells indeed present the glutamatergic, Phox2b-expressing phenotype predicted for chemosensitive RTN neurons (Fig. 3A, right). As expected, all cells expressed Phox2b and VGlut2 and none expressed GAD1 (n=30)(Stornetta et al., 2006); GAPDH amplification verified adequate mRNA extraction and, for all reactions, control samples without template yielded no amplification product. Importantly, we found clear evidence for expression of THIK-1 in a subgroup of these RTN neurons (~63%, n=19/30); this is slightly greater than the fraction of cells for which the net isoflurane-sensitive I-V resembled a background K+ current (~50%). In the remaining cells, THIK-1 was either not expressed or present at levels below detection threshold.

Figure 3
THIK-1-like currents in RTN neurons

We attempted a number of different approaches to evaluate contributions of THIK-1 to the native RTN isoflurane-sensitive current. There are no THIK-1-specific pharmacological tools available but arachidonic acid was reported to activate recombinant THIK-1 and, at high concentrations (1 mM), to enhance a native THIK-1-like current (Rajan et al., 2001; Bushell et al., 2002; Campanucci et al., 2005). In our hands, however, arachidonic acid (up to 1 mM) failed to consistently or robustly activate recombinant THIK-1 currents in HEK293 cells (only 32 ± 6.0% activation, n=8/11 cells); moreover, low concentrations of arachidonic acid (<200 μM) had variable effects on membrane current in RTN neurons while high concentrations (up to 1 mM) appeared to modulate multiple conductances (data not shown).

As an alternative, based on our hypothesis that a cationic conductance might contribute to the overall anesthetic-sensitive current in RTN neurons, we tested if the relevant K+ current would be more evident under conditions when extracellular Na+ was replaced with an impermeant ion. Indeed, this maneuver uncovered an isoflurane-inhibited K+ current in all cells tested (n=9) and, interestingly, it also enhanced the anesthetic-sensitive current amplitude. A representative experiment is provided in Fig. 3B. Under control conditions, isoflurane caused a barely detectable shift in holding current; upon switching to an NMDG-containing bath solution, holding current became increasingly outward and, after attaining a new steady holding level, a second exposure to isoflurane evoked a much larger inward current shift. A comparison of the averaged I-V relationships from RTN neurons tested in this manner, shown in Fig. 3B, illustrates the enhanced isoflurane-sensitive current in the presence of NMDG; it also shows a striking transformation of the properties of the isoflurane-sensitive current, such that the I-V curve obtained in the absence of extracellular Na+ takes the form expected for a background K+ current.

These data indicate that RTN neurons express an anesthetic-sensitive background K+ current that is activated by removal of extracellular Na+. Since this is a property that has not been previously described for THIK-1, we tested if recombinant THIK-1 currents are also increased by substitution of Na+ with NMDG in the bath solution. A recording from an HEK293 cell transfected with THIK-1 is shown in Fig. 3C. At the holding potential of −60 mV under control conditions, THIK-1 currents were inhibited by isoflurane (2%); replacement of Na+ with NMDG in the bath solution increased THIK-1 channel currents and the size of the anesthetic-sensitive current. Thus, these observations are similar to those obtained in RTN neurons, and are consistent with the possibility that THIK-1 contributes to the native anesthetic-sensitive background K+ current in those cells.

As noted above, we found that anesthetic modulation of RTN neuron firing was independent of the prevailing pH (see Fig. 1 and Mulkey et al., 2007), suggesting that the underlying anesthetic-modulated conductance would be likewise insensitive to pH. Indeed, we found no difference in peak THIK-1 currents in HEK293 cells recorded under control, acidified or alkalized conditions (pH 7.3: 35.8 ± 6.0 pA/pF; pH 7.0: 34.9 ± 6.3 pA/pF; pH 8.0: 37.0 ± 4.4 pA/pF; n=14, P>0.79). Together, these data show that THIK-1 expression can be detected in a majority of RTN neurons, and these cells present with a background K+ current sharing key features of THIK-1 (i.e., suppression by inhalational anesthetics, weak rectification, inhibition by extracellular Na+, and pH-insensitivity). In addition, they suggest that activation of a cationic channel also contributes to the net anesthetic-sensitive current in RTN neurons.

Isoflurane enhances RTN neuron activity in vivo

The data presented to this point indicate that isoflurane can activate pH-sensitive RTN neurons in neonatal mouse brainstem slices; we were interested in testing if chemosensitive RTN cells from adult animals are also activated by isoflurane in vivo. For these experiments, extracellular recordings were obtained from RTN neurons in the rostroventrolateral medulla of urethane-anesthetized rats (Mulkey et al., 2004; Fortuna et al., 2009); we simultaneously monitored integrated phrenic nerve discharge (iPND) as a measure of central respiratory output, along with arterial pressure (BP). Within the RTN, chemosensitive neurons were identified by their characteristic and robust firing responses to changes in end-tidal CO2 (etCO2) (Mulkey et al., 2004).

An excerpt of a typical experiment from a representative cell is shown in Fig. 4A. Initially, at low etCO2 levels where RTN neuronal activity and phrenic discharge were just slightly above threshold, addition of 2% isoflurane to the inspirate caused a dramatic and sustained increase in RTN neuron firing activity; this was associated with a transient increase in phrenic nerve amplitude and frequency (see arrow) that was followed thereafter by a delayed inhibition. Isoflurane also caused a marked decrease in blood pressure. Two observations suggest that the increased RTN discharge was not secondary to the decrease in blood pressure. First, the kinetics of the changes in RTN firing and blood pressure were very different: RTN firing increased rapidly to peak well before any major decrease in blood pressure. Second, there was essentially no effect on RTN activity when a rapid decrease in blood pressure of comparable magnitude was produced by intravenous sodium nitroprusside (SNP).

Figure 4
Isoflurane activates RTN neurons in vivo

Under conditions of elevated respiratory drive obtained by raising etCO2, isoflurane retained the ability to increase the firing activity of this RTN neuron (Fig. 4A & 4B). In these cases, the early activating effects of isoflurane on phrenic nerve discharge were not as evident (but see below) and the most obvious change was a decrease in phrenic nerve amplitude. For the RTN neuron depicted, we determined firing frequency at various levels of etCO2, under control conditions and in the presence of isoflurane (Fig. 4B); the firing rate increase by isoflurane was approximately the same magnitude at all etCO2 levels. Similar results were obtained when averaged for all RTN neurons studied (Fig. 4C): isoflurane induced a nearly parallel upward shift in RTN neuronal discharge at three different levels of etCO2. Note that effects of isoflurane were concentration-dependent, at least over the limited range tested, with slightly greater increases in RTN activity with 2% isoflurane than with 1.5% isoflurane (Fig. 4D). Averaged data also revealed that, despite equivalent decreases in blood pressure induced by isoflurane and SNP, the elevated discharge was seen only with isoflurane (Fig. 4E). Together, these data indicate that isoflurane enhances discharge of RTN respiratory chemoreceptor neurons in vivo in a manner that is independent of pH/CO2; these results are similar to those obtained from RTN neurons in brainstem slices.

Isoflurane has a biphasic effect on respiratory output in urethane-anesthetized rats

As alluded to above, the effects of isoflurane on integrated central respiratory output in urethane-anesthetized rats were more complex than those on RTN neuron firing activity. Overall effects on phrenic nerve activity were influenced by both isoflurane concentration and the prevailing level of respiratory drive.

At suprathreshold levels of respiratory drive, we generally observed a biphasic effect of isoflurane on phrenic nerve discharge frequency, featuring an early increase in frequency that later subsided during prolonged exposure to isoflurane; as seen in Fig. 5A, the late decrease returned phrenic nerve frequency either to around the initial control level (as with 1.5% isoflurane) or to below control levels (as with 2% isoflurane). The decrease in phrenic nerve frequency was usually accompanied by a corresponding slow decline in burst amplitude. In the lower panels of Fig. 5A, we quantified effects of 1.5% and 2% isoflurane measured at relatively high levels of respiratory drive (i.e., phrenic nerve amplitude >80% of peak) by averaging phrenic nerve frequency and amplitude under baseline conditions (B), during the early peak (P) and the delayed nadir (N) in phrenic frequency, and then following recovery (R). With both isoflurane concentrations, the early increase in frequency and late decrease in amplitude were statistically significant; at the late time point, phrenic nerve frequency was significantly reduced only by 2% isoflurane. In terms of overall respiratory neural output (i.e., minute phrenic activity, the product of phrenic frequency and amplitude), these changes resulted in a central respiratory drive that was relatively preserved at early time points by the increased frequency and reduced at later time points due to decreased burst amplitude.

Figure 5
Isoflurane has biphasic effects on respiratory neural output

The general biphasic pattern of isoflurane effects on phrenic nerve discharge was observed consistently, although important aspects of these typical responses were different at lower levels of respiratory drive. For example, the records in Fig. 5B depict an experiment in which phrenic nerve discharge frequency followed the pattern described above (i.e., early rise with subsequent slow decay) but it remained above control levels for the duration of the isoflurane application. In addition, phrenic nerve amplitude was slightly increased above control levels in the presence of isoflurane. So, in this particular preparation, the overall respiratory output was actually elevated throughout the exposure to isoflurane. The lower panels of Fig. 5B depict averaged phrenic nerve responses to 1.5% isoflurane from experiments in which initial burst amplitude was <50% of maximum. In these cases, minute respiratory neural output was significantly increased by isoflurane at the early time point, reflecting the initial increase in frequency and maintained amplitude of phrenic discharge at the start of the exposure; at later time points, the decrease in phrenic amplitude led again to a significant decrease in net respiratory drive.

The ability of isoflurane to enhance respiratory output was observed most dramatically under conditions when CO2 levels were lowered even further, to just below the threshold for phrenic nerve activity, as shown in Fig. 6. After silencing respiratory output in this preparation, 1.5% isoflurane increased phrenic nerve activity above threshold via increases in both frequency and amplitude. The effect of isoflurane was again biphasic, but the early increase in respiratory output was striking. Interestingly, the averaged CO2 threshold for respiratory activity was systematically lower in rats anesthetized with isoflurane than in animals anesthetized with either a chloralose-urethane combination or urethane alone (Table 1). This is consistent with activation of RTN neurons by isoflurane, but not chloralose-urethane (see Fig. 1), and also with the ability of isoflurane to initiate breathing under conditions when overall respiratory drive is reduced to subthreshold levels.

Figure 6
Isoflurane can provoke respiratory discharge from a silent preparation
Table 1
CO2 threshold for RTN firing and phrenic nerve discharge in rats anesthetized with three different anesthetics.

DISCUSSION

The glutamatergic, Phox2b-expressing neurons of the RTN provide a CO2-dependent excitatory drive to brainstem circuits controlling respiration (Feldman et al., 2003; Abbott et al., 2009; Guyenet et al., 2009). Under anesthesia, the excitatory drive from these RTN neurons is required for the respiratory network to be active (Takakura et al., 2008). The present study demonstrates that the inhalational anesthetic isoflurane robustly activates the chemosensitive RTN neurons independently of the level of CO2. We found that isoflurane increases spike firing of neonatal mouse RTN neurons in vitro and adult rat RTN neurons in vivo. We also found that multiple ionic mechanisms contribute to RTN neuronal excitation by isoflurane, including: [1] activation of an unidentified cationic current; and [2] inhibition of a background K+ current displaying properties consistent with THIK-1, an anesthetic-inhibited K2P channel that we readily detected in a majority of RTN neurons. The overall effect of isoflurane on central respiratory output in urethane-anesthetized rats was complex and dependent on both isoflurane concentration and prevailing respiratory drive. However, it was always characterized by an early increase in phrenic nerve discharge frequency and a later decrease in phrenic burst amplitude. At low levels of etCO2, when phrenic nerve discharge was initially silent, isoflurane actually raised respiratory drive to beyond the threshold for phrenic nerve activity.

In short, isoflurane enhances the excitatory drive to the respiratory system that originates from the RTN chemoreceptors, and we suggest that this effect offsets, at least partially, the anesthetic-mediated inhibition of other respiratory-related cell groups (Sirois et al., 2000; Koizumi et al., 2010). Such a mechanism may account for the ability of the respiratory motor system to maintain ventilation even under a surgical plane of anesthesia, when most other motor systems are strongly inhibited (Sonner et al., 2003; Rudolph and Antkowiak, 2004; Grasshoff et al., 2005; Franks, 2008).

Excitatory and inhibitory neuronal effects of anesthetics influence overall central respiratory output

Our conclusion that inhalational anesthetics can actually enhance respiratory drive via actions on central respiratory chemoreceptor neurons of the RTN seems at odds with the well-known depression of breathing and the blunting of respiratory chemoreflexes that occurs during anesthesia (Evers et al., 2006). Clearly, an integrated respiratory output involves numerous brainstem neurons (Feldman et al., 2003) and, of course, anesthetics have actions on multiple molecular targets at various central sites (Rudolph and Antkowiak, 2004; Grasshoff et al., 2005; Franks, 2008). For motor systems in general, inhalational anesthetics enhance fast inhibitory neurotransmission and depress fast excitatory transmission onto motoneurons (Kendig, 2002; Sonner et al., 2003). In addition, inhalational anesthetics activate TASK channels to inhibit brainstem aminergic neurons (Sirois et al., 2000; Washburn et al., 2002), which can cause an indirect disfacilitation of motoneurons; likewise, TASK channel activation in motoneurons results in a direct inhibition by those same anesthetics (Sirois et al., 2000). In the specific case of the respiratory motor system, it was recently found that inhaled anesthetics activate a TASK-like current in pre-Bötzinger neuronal pacemaker neurons (Koizumi et al., 2010); this mechanism was associated with depressed respiratory output in a brainstem slice and was sufficient to account for respiratory depression in a computational network model of the respiratory system (Koizumi et al., 2010). So, there is no doubt that inhalational anesthetics can act at a number of sites within the brainstem and spinal cord, downstream of the RTN, to inhibit many of the neuronal cell groups that serve to generate the respiratory rhythm and/or convey that onward to the muscles of breathing.

The dichotomous effects of isoflurane to enhance RTN neuronal activity while also inhibiting other aspects of the respiratory system likely accounts for the biphasic effects of the anesthetic we observed on respiratory output in vivo: initial activation followed by later inhibition. The fact that isoflurane invariably increased respiratory frequency implies that those actions are mediated at sites antecedent to the respiratory central pattern generator (CPG). This is consistent with the possibility that it reflects isoflurane-mediated activation of RTN neurons since current ideas place those cells upstream of the respiratory CPG (Feldman et al., 2003; Guyenet et al., 2009). By contrast, the subsequent decrease in phrenic burst amplitude could occur anywhere within the neural system, from upstream of the CPG through to the final output motoneurons. It is important to acknowledge that the net effect of isoflurane we observed on respiratory activity at steady state was inhibition. Although this supports conventional wisdom that inhalational anesthetics inhibit breathing (Evers et al., 2006), which is most certainly correct, it does not rule out the possibility that the isoflurane-induced inhibition of respiratory output would have been more profound were it not for concomitant excitatory effects of isoflurane on RTN neurons. Unfortunately, there is no way at present to parse contributions of these opposing effects of inhalational anesthetics on respiratory output in vivo, or to examine effects of those drugs when RTN neuronal excitation is blocked.

THIK-1 channel inhibition contributes to anesthetic-induced activation of RTN neurons

Our voltage clamp analysis of isoflurane-sensitive currents in vitro identified distinct ionic mechanisms that contribute to anesthetic activation of pH-sensitive RTN neurons: an anesthetic-inhibited background K+ current and an anesthetic-activated Na+-dependent current. In approximately half of the RTN neurons tested, isoflurane induced an inward current with decreased conductance; in those neurons, the I-V curves of total anesthetic-sensitive current had a weakly-rectifying profile and reversal potential consistent with inhibition of K+ current as the predominant mechanism (see also (Mulkey et al., 2007). Aside from its inhibition by anesthetic, this background K+ current shared a number of properties with the K2P channel, THIK-1 (Rajan et al., 2001), and moreover, we were able to show by scRT-PCR that THIK-1 transcripts were present in ~63% of RTN neurons. In the other group of RTN neurons, the corresponding I-V curves were less informative, with no clear reversal of the anesthetic-sensitive current. However, an underlying K+ current was revealed when extracellular Na+ was replaced with NMDG, suggesting that it was obscured by the Na+-dependent current component in those cells. Again consistent with a role for THIK-1, we found that both the native RTN anesthetic-inhibited K+ current and recombinant THIK-1 were strongly enhanced by removal of extracellular Na+. It is noteworthy that Na+ substitution enhanced the K+ current in all cells tested, suggesting that THIK-1 may have been expressed at levels below detection threshold in the ~37% of RTN neurons that appeared negative by scRT-PCR. The molecular identity of the channel that underlies the anesthetic-activated Na+-dependent current remains to be determined. In this respect, it is interesting that anesthetic sensitivity is strongly affected in both D. melanogaster and C. elegans by genetic disruption of, respectively, NA or NCA-1/NCA-2 (Humphrey et al., 2007); these genes are the orthologs of mouse Nalcn, which encodes a mammalian leak sodium channel that is required for respiratory function (Lu et al., 2007).

THIK-1 is not the pH-sensitive background K+ channel in RTN neurons

The mechanism of pH sensitivity in RTN neurons remains to be determined. Our work has identified an anesthetic-inhibited, THIK-1-like background K+ current in RTN neurons (see also (Mulkey et al., 2007), but neither the native neuronal anesthetic-sensitive current nor THIK-1 are influenced by changes in pH (Rajan et al., 2001). Indeed, the isoflurane-enhanced firing of RTN neurons was independent of prevailing pH or CO2, in vitro and in vivo. The pH-sensitive background K+ current in RTN neurons is not due to TASK-1 (K2P3.1) or TASK-3 (K2P9.1) since it was unaffected by halothane, which activates these TASK channels (Patel and Honore, 2001), and was preserved in mice deleted for either or both of those channels (Mulkey et al., 2007). In recent work, a strikingly specific expression of TASK-2 (K2P5.1) was noted in RTN neurons, and interestingly, mice deleted for that channel presented with disrupted ventilatory responses to CO2 and O2 (Gestreau et al., 2010). It remains to be determined if TASK-2 accounts for the pH-sensitivity of RTN neurons. In this respect, however, it is worth noting that whereas TASK-2 is pH-sensitive (i.e., activated by extracellular alkalization (Reyes et al., 1998) it is also activated by inhalational anesthetics (Gray et al., 2000). So, our demonstration here that isoflurane did not affect the pH-dependence of RTN firing, along with earlier work indicating that RTN pH-sensitive background K+ currents were identical in the presence and absence of halothane (Mulkey et al., 2007), suggests that TASK-2 does not play a major role in establishing the pH sensitivity of RTN neurons. However, this does not rule out a contribution for TASK-2 in regulating the intrinsic excitability of RTN neurons, and thus their ability to mediate respiratory responses to CO2 and O2 (Gestreau et al., 2010).

In conclusion, this work reveals a novel action of inhalational anesthetics to increase firing activity of RTN respiratory chemoreceptor neurons at any given level of CO2, thereby providing increased excitatory drive to the respiratory control network under conditions when other elements of the system are generally depressed. We propose that this fortuitous activation of RTN neurons supports maintained breathing under deep surgical anesthesia, when other motor systems are completely immobilized.

Supplementary Material

Supp1

Acknowledgments

The authors thank Dr. Erhard Wischmeyer (University of Würzburg) for providing the THIK-1 construct. This work was supported by NIH grants HL74011 to PGG and GM66181 to DAB.

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