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1Departments of Neurology and 2Neuro- and Sensory Physiology, Georg-August-University; 3Department of Neurogenetics, Max-Planck-Institute of Experimental Medicine; and 4Deutsche Forshungsgemeinschaft Research Center for Molecular Physiology of the Brain, Gottingen, Germany
Submitted 21 September 2005; accepted in final form 15 November 2005
| ABSTRACT |
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| INTRODUCTION |
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Within the lower brain stem, the respiratory rhythm is generated and adjusted by a neuronal network located within the ventral respiratory group (VRG) (Richter and Spyer 2001
), including the pre-Bötzinger complex that is involved in respiratory rhythm generation (Ramirez et al. 1998
; Smith et al. 1991
). In this kernel, the majority of astrocytes show a high potassium conductance, which indicates that they make an important contribution to local potassium buffering (Gra
et al. 2004
). Thus it is not surprising that the overall changes in extracellular K+ remain rather small during periodic neuronal discharges (Brockhaus et al. 1993
; Richter et al. 1978
).
One possible candidate for trans-membranous K+ fluxes in astrocytes of the respiratory network is the weakly inwardly rectifying K+ channel Kir4.1 (KCNJ10). The Kir4.1 channel subunit is expressed predominantly in glial cells (Neusch et al. 2001
; Takumi et al. 1995
) and to a lesser degree in neurons (Bredt et al. 1995
; Jiang et al. 2001
; Li et al. 2001
). In the brain stem, mRNA for Kir4.1 was detected in respiratory regions including the VRG and the pre-Bötzinger complex (Wu et al. 2004
). Therefore we used immunohistochemical methods to assess the expression of the Kir4.1 subunit in astrocytes of the VRG, and in electrophysiological experiments, we studied its functional relevance for the stabilization of the respiratory network activity. To address the role of Kir4.1 in ion homeostasis, we took advantage of a mouse line with a specific ablation of the Kir4.1 gene (Kofuji et al. 2000
; Marcus et al. 2002
; Neusch et al. 2001
; Rozengurt et al. 2003
). To identify astrocytes in the pre-Bötzinger region we generated double transgenic mice by interbreeding Kir4.1 heterozygous animals with transgenic mice expressing the enhanced green fluorescent protein (EGFP) under the control of the astrocyte-specific human glia fibrillary acidic protein (hGFAP) promoter [TgN(hGFAP-EGFP); Nolte et al. 2001
].
| METHODS |
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Generation of Kir4.1/ mice and transgenic mice expressing the fluorescent protein EGFP under the human GFAP promoter [TgN(hGFAP-EGFP)] was described previously (Kofuji et al. 2000
; Nolte et al. 2001
). Both mouse lines were interbred to generate double transgenic mice. Mice from the F2F4 generations were used in this study. Genotyping was performed as previously described (Kofuji et al. 2000
; Nolte et al. 2001
).
Histology, immunohistochemistry, and immunofluorescence
Animals >10 days were anesthetized and perfused by transcardial injection with PBS followed by 4% paraformaldehyde (PFA) in PBS. The brain stem and cerebellum were removed and postfixed in 4% PFA overnight. Animals from postnatal days 59 (P5P9) were anesthetized and rapidly decapitated. Brains were immersion-fixed in 10% PFA overnight, followed by dehydration in 70% ethanol for 48 h. The brain stem and cerebellum were embedded in paraffin and sectioned at 1012 µm.
For immunohistochemistry, paraffin sections were dewaxed in xylene and dehydrated in ethanol, rehydrated, and incubated for 10 min at 55°C followed by boiling at 95°C in an antigen demasking solution (Vector Laboratories, Burlingame, CA) for another 10 min. After blocking for 20 min in 0.2% Triton X-100 and 10% normal goat serum (NGS) in PBS, sections were treated in another blocking step with 5% dry milk (30 min). The samples were washed and incubated with the primary antibody in 1% NGS at 4°C overnight. Samples were incubated with a fluorescent Cy3- (goat, 1:1,000) or Cy5-conjugated (goat, 1:500) secondary antibody (Jackson Immunoresearch, West Grove, PA) for 1 h at room temperature. The following primary antibody concentrations were used: Kir4.1 (rabbit, 1:100; Alomone) and glutamate transporter I (GLT1; guinea pig, 1:100; Chemicon). The Nissl staining was done according to the manufacturer's protocol (Molecular Probes). Confocal images of 10- 12-µm brain stem sections were obtained on a confocal laser-scanning microscope (LSM 510 Meta, Zeiss Oberkochen) equipped with two HeNe lasers (546- and 633-nm wavelength) and one argon laser (488 nm). EGFP was excited at 488 nm, and fluorescence was detected through a 500- to 550-nm band-pass filter (Cy3: 543-nm/565- to 615-nm band-pass filter; Cy5; 633-nm/650-nm long-pass filter).
Electrophysiological recording of astrocytes in brain stem slices
The Kir 4.1/ knock-out mice usually died in the first 2 postnatal weeks (Neusch et al. 2001
). Thus mice from P6 to P11 were used for electrophysiological studies. Mice were decapitated, and the brain stem was removed and placed in cooled artificial cerebrospinal fluid (ACSF) equilibrated with oxygen and carbon dioxide (95% O2-5% CO2). Transverse slices (200300 µm) from the caudal medulla were cut with a vibroslicer (Campden Instruments, Loughborough, UK) and stored in ACSF at room temperature (2124°C) for
30 min before experiments were started. Slices were subsequently transferred to a recording chamber and kept submerged by nylon fibers. The chamber was continuously superfused with ACSF (room temperature; 2124°C) at a flow rate of 1020 ml/min. The composition of the ACSF (Hülsmann et al. 2000
) was (in mM) 118 NaCl, 3 KCl, 1.5 CaCl2, 1 MgCl2, 1 NaH2PO4, 25 NaHCO3, and 30 D-glucose (330 mosmol/l; pH 7.4). Thick slice preparations of neonatal animals work better using high extracellular glucose because of their high capacity to use anaerobic (glycolytic) metabolism for ATP production (Ballanyi 2004
). To analyze Kir currents, 50 mM NaCl of the external solution was replaced by 50 mM KCl. To block inwardly rectifying K+ currents, 1 mM Ba2+ was added to this solution.
EGFP fluorescence was excited at 467 nm with a computer-controlled monochromator (dichroic mirror, 495 nm; Polychrome II, TILL Photonics, Gräfelling, Germany). Only astrocytes that displayed a clear bright green fluorescence were studied; astrocytes with weak fluorescence were not used in this study because they are likely to represent a different cell population (Gra
et al. 2004
; Matthias et al. 2003
).
Patch electrodes were pulled from borosilicate glass capillaries (Biomedical Instruments, Zöllnitz, Germany) on a horizontal pipette-puller (Zeitz-Instrumente, Munich, Germany) filled with (in mM) 125 KCl, 1 CaCl2, 10 EGTA, 2 MgCl2, 4 Na2ATP, 10 HEPES (pH was adjusted to 7.2 with KOH.). Patch electrode resistances were 26 M
. Astrocytes were clamped to 80 mV and exposed to different voltage step protocols as indicated below. Whole cell currents were measured with a Multiclamp 700A amplifier (Axon Instruments, Foster City, CA), filtered at 2 kHz, digitized at 10 KHz, and stored on a computer using the pCLAMP 9.2 software (Axon Instruments).
Rhythmic slice preparation
A single 650- to 750-µm-thick cut was made from the medulla to obtain one slice containing the functionally intact pre-Bötzinger complex (PBC) and the projections from the PBC to the hypoglossal nucleus and the hypoglossal (XII) rootlets (Ramirez et al. 1996
, 1998
; Smith et al. 1991
). The slice was transferred to a recording chamber superfused with an ACSF solution that was saturated with 95% O2-5% CO2 at 30°C. Extracellular K+ was elevated to 8 mM to maintain respiratory network activity. Rhythmic mass activity from the pre-Bötzinger complex and activity from nerve rootlets of the hypoglossal nucleus was recorded with extracellular glass capillary microelectrodes. The frequency of the rhythmic burst activity, which is in phase with the hypoglossal activity (Johnson et al. 2001
), was used as the parameter for the central respiratory rhythm (Smith et al. 1991
). Recordings were amplified 5,00010,000 times, band-pass filtered (0.251.5 kHz), rectified, and integrated (Paynter filter with a time constant of 50100 ms). Extracellular field potentials and the integrals were digitized (Digidata 1320, Axon Instruments) at 5 KHz and stored on a computer using pCLAMP 9.2 (Axon Instruments). Burst frequency was calculated from the interburst interval of 3-min segments.
Extracellular K+ measurements in brain stem slices
Measurements of extracellular K+ ([K+]o) were made in an interface recording chamber of the Oslo style (Müller and Somjen 2000
) to reduce wash out of extracellular K+. Slices were kept at a temperature of 32°C and were perfused with ACSF (1.5 ml/min) aerated continuously with 95% O2-5% CO2 (400 ml/min). Changes of [K+]o were measured using double-barreled K+-sensitive microelectrodes (Müller and Somjen 2000
). They were pulled from theta type capillaries (Clark GCT 20010, Harvard Apparatus) on a horizontal puller (P97, Flaming Brown, Sutter Instruments). The ion-sensitive barrel was silanized by 105-min exposure to hexamethyldisilazane vapors (98%, Fluka; vaporized at 40°C) and subsequently baked at 220°C for 2 h. Silanization of the reference barrel was prevented by perfusing it with nitrogen (1.5 bar). The tip of the K+-sensitive barrel was filled with the valinomycin based K+ ion neutral carrier (potassium ionophore Icocktail A, Fluka 60031) and backfilled with 150 mM KCl + 10 mM HEPES, pH 7.4. The reference barrel contained 150 mM NaCl + 10 mM HEPES, pH 7.4. Electrode resistances of the reference and ion-sensitive barrel were 1020 and 170250 M
, respectively. K+-sensitive electrodes were calibrated before and after each experiment by detecting the response of each electrode to standard solutions (0, 1, 2, 5, 10, 20, 50, and 100 mM K+). To maintain constant ionic strength similar to that in interstitial fluid, Na+ in the calibration solutions was replaced by K+ and vice versa (reciprocal calibration method). Ion-sensitive electrode signals were amplified with a differential electrometer (FD 223, World Precision Instruments) and digitized by a TL-1/Axotape acquisition system (Axon Instruments) at sampling rates of 1 kHz. [K+]o was calculated directly from the electrode responses using the slope of the calibration curve.
To measure rhythmic changes in the [K+]o under comparable conditions, we recorded stimulation-induced changes of [K+]o. Stimulating electrodes made from bare stainless steel wire (50 µm diam, AM Systems) were positioned in the midline of the slice, while the K+ sensitive electrode was placed in the VRG. Changes in [K+]o resulting from three consecutive bursts (1-s duration) of 15-µA constant current pulses (0.1-ms pulse width at 100 Hz) applied at a frequency of 1 min1 were analyzed.
Data processing
Data were analyzed with SigmaPlot/SigmaStat (Systat Software, Point Richmond, CA). The unpaired t-test and the Mann-Whitney rank sum test were used to determine the significance of changes when comparing values obtained from Kir4.1/ to WT mice. Results were expressed as mean ± SD, and differences were considered significant if P < 0.05.
| RESULTS |
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Kir 4.1 protein expression in astrocytes of the VRG was shown using two different markers for astrocytes. Kir 4.1 immunoreactivity overlapped the transgenic expression of EGFP in astrocytic somata and their processes (Fig. 1, AC), including astroglial endfeet structures embracing the microvasculature (Fig. 1, DF). This observation was verified when astrocytes were identified on the basis of the glial GLT1 (Fig. 1, GL). During developmental maturation of the network, Kir4.1 channel distribution changed. In the first postnatal week (P5), Kir4.1 immunolabeling in the VRG was found predominantly on cell bodies of astrocytes (Fig. 1, GI). From the second postnatal week on, Kir4.1 immunostaining on cell bodies decreased, and the expression of Kir4.1 shifted to astrocytic processes (Fig. 1, JL).
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To confirm our immunohistochemical data and to understand the functional impact of Kir4.1 channels on astrocytic membrane properties, we performed whole cell voltage-clamp recordings from WT and Kir4.1/ astrocytes in medullary slices (Fig. 3A). WT and Kir4.1/ astrocytes exhibited different electrophysiological properties: the RMP of Kir4.1/ astrocytes (49.2 ± 10.5 mV, n = 39) was depolarized (P < 0.001) compared with WT astrocytes (72.2 ± 10.5 mV, n = 17, P < 0.001), which is consistent with the finding that astrocytic input resistance was higher (67.3 ± 51.1 M
; n = 39) in Kir4.1/ mice than in WT astrocytes (38.0 ± 12.6 M
, n = 17; Table 1; P = 0.023). The RMP in astrocytes from heterozygotes (Kir4.1+/) was 71.4 ± 17.7 mV (not significant, n = 31); the input resistance was 44.2 ± 20.1 M
(n = 31).
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To compare Kir currents directly between WT and Kir4.1/ astrocytes, we quantified the inward current evoked by a voltage step from 80 to 150 mV (I(150)). In control ACSF, this current was smaller in Kir4.1/ than in WT astrocytes (Table 1). In 50 mM K+ ACSF, the I(150) increased by 1.2 ± 2.1 nA in WT (n = 15) and by 0.6 ± 0.9 nA in Kir4.1+/ (not significant, n = 31), but inward rectification was virtually absent in Kir4.1/ astrocytes (
I(150) = 0.1 ± 0.5 nA; P < 0.05 compared with WT; n = 24).
The barium-sensitive Kir current was calculated by subtracting the I(150) measured before and after application of 1 mM BaCl2. It was virtually absent in Kir4.1/ astrocytes (0.1 ± 0.1 nA; n = 7; Table 1) compared with WT (1.2 ± 1.8 nA, P < 0.05; n = 7) and Kir4.1+/ astrocytes (0.5 ± 0.8 nA; n = 22).
K+ uptake properties are disturbed in astrocytes from Kir4.1/ mice
In WT animals clamped to 80 mV, application of 50 mM K+ elicited a large inward current of 2.7 ± 0.5 nA (n = 15, IK, Fig. 4, A and B). This inward current (IK) was much smaller in Kir4.1/ astrocytes (0.3 ± 0.1 nA; P < 0.001, n = 24), and it had an intermediate magnitude in Kir4.1+/ mice (1.7 ± 0.2 nA; not significant, n = 31; Fig. 4B). This indicates that the capacity for K+ influx at physiological membrane potentials is almost abolished in Kir4.1/ astrocytes.
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The neuronal network activity of rhythmic brain stem slices was compared in WT and Kir4.1/ littermates. Slices from WT animals and Kir4.1+/ mice (P6P11) generated rhythmic burst discharges at frequencies of 0.17 ± 0.03 (n = 10) and 0.12 ± 0.02 Hz (n = 16, not significant), respectively. The burst frequency was similar in slices from Kir4.1/ mice (0.18 ± 0.03 Hz, n = 14, not significant; Figure 5B). The variability of the interburst intervals (CV) did not differ in the three groups (WT: 0.34 ± 0.03; Kir4.1± mice: 0.41 ± 0.04, in Kir4.1/ mice: 0.42 ± 0.03; Fig. 5C, not significant).
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Our data indicate that lack of the Kir4.1 channel subunit does not impair normal respiratory network activity. To directly analyze the function of Kir4.1 channels in the regulation of extracellular K+, we monitored extracellular K+ levels under control conditions and after application of 1 mM BaCl2 using ion-selective microelectrodes (Fig. 6A).
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Another clear difference between WT and Kir 4.1/ slices was the recovery of [K+]o after the first of three consecutive stimuli. In WT slices [K+]o decayed with a time constant of 9.8 ± 2.6 s (n = 6), while recovery was much slower in Kir4.1/ mice (17.1 ± 2.5 s; n = 5; P < 0.001, Fig. 6D). BaCl2 application almost doubled the [K+]o decay time constant in WT slices (18.7 ± 10.1 s) while the already slower recovery in Kir4.1/ mice tended to be delayed even more (27.2 ± 10.0 s; not significant; Fig. 6D).
Furthermore, after three consecutive stimuli, [K+]o in WT slices recovered to a slightly elevated baseline [K+]o (+0.04 ± 0.09 mM; Fig. 6E), whereas Kir4.1/ slices showed a clear undershoot of [K+]o baseline (0.07 ± 0.06 mM; P < 0.05). A comparable undershoot was obtained in WT slices in the presence 1 mM BaCl2 (0.18 ± 0.13 mM, P < 0.01). In Kir4.1/ mice, barium application further increased the [K+]o undershoot (0.29 ± 0.16 mM; P < 0.05; Fig. 6E).
| DISCUSSION |
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Our immunohistochemical data indicate that 1) Kir4.1 expression occurs in astroglial processes in close proximity to neuronal somata and dendrites, and 2) Kir4.1 channels cluster around small blood vessels and capillaries. This "polarized" distribution of Kir4.1 channels supports the hypothesis that Kir channels mediate uptake of K+ released by neurons and release potassium to capillaries and small vessels (Higashi et al. 2001
; Poopalasundaram et al. 2000
; Takumi et al. 1995
). Therefore, Kir4.1 localization is well matched to its putative role in regulation of [K+]o.
Kir currents are reduced in Kir4.1/ astrocytes
Loss of the Kir4.1 subunit resulted in significant physiological changes in astrocytes: the resting membrane potential was markedly depolarized, the input resistance was increased, and Kir currents were decreased. These observations are consistent with and extend previous reports based on studies of retinal Müller cells (Kofuji et al. 2000
) and spinal oligodendrocytes (Neusch et al. 2001
), which showed that the lack of Kir4.1 depolarized the resting membrane potential of glial cells.
Fluctuations in [K+]o remained well controlled in close proximity to highly active respiratory neurons under normal in vivo conditions (0.10.3 mM) (Richter et al. 1978
). This is most likely caused by K+ buffering by neighboring astrocytes and additional K+ recycling mechanisms, such as activation of the Na+/K+-ATPases (D'Ambrosio et al. 2002
). Therefore we expected the lack of Kir currents to impair K+ uptake by astrocytes to affect the excitability of respiratory neurons located near by and to alter the rhythmic function of the entire network. We tested this hypothesis by quantifying network activity in rhythmic slices obtained from WT and Kir4.1/ mice. The specific impairment of astroglial K+ uptake in Kir4.1/ mice was, however, not sufficient to significantly disturb respiratory network activity. This indicates that other mechanisms, probably involving activation of the Na+/K+-ATPases (D'Ambrosio et al. 2002
), compensated for the loss of Kir4.1. This is consistent with previous slice experiments showing an arrest of respiratory network activity only in response to extracellular potassium levels exceeding 15 mM (Del Negro et al. 2001
; Johnson et al. 2001
).
Contribution of Kir4.1 channels to extracellular K+ regulation in the developing respiratory network
D'Ambrosio et al. (2002)
showed that Kir channels and Na+/K+-ATPases cooperate in the regulation of [K+]o. They found that K+ released from hippocampal neurons was actively removed by both neuronal and glial Na+/K+-ATPase activity and by Kir channel mediated buffering (D'Ambrosio et al. 2002
). According to their hypothesis, Na+/K+-ATPase activity persisted even when neuronal activity ceased and thereby caused an undershoot of [K+]o under resting conditions (D'Ambrosio et al. 2002
). This undershoot is normally balanced by K+ extrusion through Kir channels. Our data support this putative mechanism, which also seems to be present in the respiratory network in the VRG. In Kir4.1/ mice, astroglial K+ fluxes were impaired; therefore astrocytes could not compensate for the pump-mediated undershoot of [K+]o by extruding K+ into the extracellular space. This is reflected in our data in which the undershoot in [K+]o was greater in Kir4.1/ mice than in WT mice (Fig. 6). Because application of Ba2+ further increased the [K+]o undershoot, K+ channels other than Kir4.1 may contribute to the maintenance of normal extracellular K+ levels.
Different from what we initially concluded from our single-cell electrophysiological experiments, our extracellular K+ measurements revealed that astroglial Kir channels, formed by the Kir4.1 subunit, only partially and very specifically contribute to [K+]o regulation. In the developing VRG, Kir4.1 channels seem to fulfill two major tasks: they regulate baseline K+ levels and compensate for the K+ undershoot that occurs in response to neuronal activity and prolonged Na+-K+ pump activity. In our preparation, Kir4.1 channels were not significantly involved in the direct clearance of activity-dependent change in extracelllular K+. Whether the function of Kir4.1 shifts later in maturation cannot be determined from our data because Kir4.1/ mice die during the second postnatal week. New tools, such as a conditional knock-out of Kir4.1, are required to study the role of Kir4.1 in spatial buffering of potassium during intense neuronal activity in adult animals.
In conclusion, we confirmed that a particular glial Kir channel subunit (Kir4.1) is expressed in astrocytes in the ventral respiratory group. Astrocytes lacking Kir4.1 channels lost most of the inward driven K+ currents, indicating that this channel is important for astroglial K+ fluxes. Furthermore, Kir4.1 channels contribute to the regulation of baseline K+ levels in the VRG. Finally, our data suggest that Kir4.1 channels shape extracellular K+ levels by partially compensating for the undershoot in extracellular K+ levels that accompanies neuronal activity.
| GRANTS |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Address for reprint requests and other correspondence: S. Hülsmann, Dept. of Neuro- and Sensory Physiology, Georg-August-Univ. Göttingen, Humboldtallee 23, 37073 Göttingen, Germany (E-mail: shuelsm2{at}uni-goettingen.de)
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B. Djukic, K. B. Casper, B. D. Philpot, L.-S. Chin, and K. D. McCarthy Conditional Knock-Out of Kir4.1 Leads to Glial Membrane Depolarization, Inhibition of Potassium and Glutamate Uptake, and Enhanced Short-Term Synaptic Potentiation J. Neurosci., October 17, 2007; 27(42): 11354 - 11365. [Abstract] [Full Text] [PDF] |
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M. L. Olsen, S. L. Campbell, and H. Sontheimer Differential Distribution of Kir4.1 in Spinal Cord Astrocytes Suggests Regional Differences in K+ Homeostasis J Neurophysiol, August 1, 2007; 98(2): 786 - 793. [Abstract] [Full Text] [PDF] |
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J. Blanz, M. Schweizer, M. Auberson, H. Maier, A. Muenscher, C. A. Hubner, and T. J. Jentsch Leukoencephalopathy upon Disruption of the Chloride Channel ClC-2 J. Neurosci., June 13, 2007; 27(24): 6581 - 6589. [Abstract] [Full Text] [PDF] |
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