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Articles, Cellular/Molecular

Glutamate Transport Decreases Mitochondrial pH and Modulates Oxidative Metabolism in Astrocytes

Guillaume Azarias, Hélène Perreten, Sylvain Lengacher, Damon Poburko, Nicolas Demaurex, Pierre J. Magistretti and Jean-Yves Chatton
Journal of Neuroscience 9 March 2011, 31 (10) 3550-3559; DOI: https://doi.org/10.1523/JNEUROSCI.4378-10.2011
Guillaume Azarias
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Hélène Perreten
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Sylvain Lengacher
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Damon Poburko
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Nicolas Demaurex
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Pierre J. Magistretti
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Jean-Yves Chatton
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Abstract

During synaptic activity, the clearance of neuronally released glutamate leads to an intracellular sodium concentration increase in astrocytes that is associated with significant metabolic cost. The proximity of mitochondria at glutamate uptake sites in astrocytes raises the question of the ability of mitochondria to respond to these energy demands. We used dynamic fluorescence imaging to investigate the impact of glutamatergic transmission on mitochondria in intact astrocytes. Neuronal release of glutamate induced an intracellular acidification in astrocytes, via glutamate transporters, that spread over the mitochondrial matrix. The glutamate-induced mitochondrial matrix acidification exceeded cytosolic acidification and abrogated cytosol-to-mitochondrial matrix pH gradient. By decoupling glutamate uptake from cellular acidification, we found that glutamate induced a pH-mediated decrease in mitochondrial metabolism that surpasses the Ca2+-mediated stimulatory effects. These findings suggest a model in which excitatory neurotransmission dynamically regulates astrocyte energy metabolism by limiting the contribution of mitochondria to the metabolic response, thereby increasing the local oxygen availability and preventing excessive mitochondrial reactive oxygen species production.

Introduction

Recent advances in neuroenergetics tend to indicate that the major energetic cost in brain cortex takes place at glutamatergic synapses (Sibson et al., 1998; Alle et al., 2009) and involves a tight metabolic coupling between neurons and perisynaptic astroglial processes surrounding glutamatergic synapses (Chatton et al., 2003; Voutsinos-Porche et al., 2003; Magistretti, 2009). It has been proposed that the activity of glutamate transporters expressed at the plasma membrane of astrocytes is associated with an intracellular Na+ increase correlated with the mobilization of the plasma membrane Na, K-ATPase activity, and an ensuing substantial increase in ATP consumption (Magistretti et al., 1999). Consistently, it has been shown that glutamatergic synaptic activity triggers an energetic demand in astrocytes that generates a diffusion gradient for glucose within a network of astrocytes, directly linked to the level of neuronal activity (Rouach et al., 2008). The nature and regulation of the glucose metabolism within astrocytes are of crucial importance for the interpretation of functional neuroimaging signals and remain a debated issue. In vitro experiments showed that glutamate uptake enhances lactate release, suggesting that glycolysis is the dominant pathway involved (Pellerin and Magistretti, 1994). However, the contribution of mitochondria to the metabolic response remains elusive (Pellerin and Magistretti, 2003), although direct and indirect evidence suggests a certain degree of oxidative activity in astrocytes (Lovatt et al., 2007; Wyss et al., 2009) and astrocytes also experience activity-dependent increases in cytosolic Ca2+ (Schummers et al., 2008).

Ultrastructural analysis of astrocyte–neuron tripartite synapses have indicated that fine astrocytic processes ensheathing synapses contain a substantial density of mitochondria (Grosche et al., 1999; Lovatt et al., 2007; Oberheim et al., 2009). Accordingly, it was estimated that astrocytes account for ∼25% of total brain oxidative metabolism as measured by nuclear magnetic resonance spectroscopy (Serres et al., 2008). The presence of mitochondria in the immediate vicinity of plasmalemmal glutamate transporters in astrocytes (Chaudhry et al., 1995; Haugeto et al., 1996; Bezzi et al., 2004) raises the question of whether factors such as ion concentration changes associated with glutamate uptake have an impact on mitochondrial metabolism.

To address this issue, we used cultured cortical astrocytes as a model of perisynaptic astroglial process. The thin morphology of astrocytes in culture enables studying mitochondria in the proximity of plasma membrane glutamate transporters and in an intact cellular environment. We used real-time fluorescence imaging to follow intracellular ionic alterations during glutamate superfusion and studied the impact of glutamate on the metabolism of astrocyte mitochondria in situ. In previous studies, we have shown that the mitochondrial Na+ concentration increases as a result of glutamate transporter activity (Bernardinelli et al., 2006). In the present study, using a fluorescent pH biosensor targeted to the mitochondrial matrix, we show that glutamate, released from neurons or applied by superfusion, induces a dose-dependent proton transfer into mitochondria that depends on glutamate transporter activity. We further show that this proton transfer weakens the cytosol-to-mitochondrial matrix pH gradient and induces the sustained decrease in mitochondrial oxidative metabolism that dominates the Ca2+-mediated stimulatory effect of glutamate.

Materials and Methods

Cell culture and solutions

Cortical astrocytes in primary culture were prepared from 1- to 3-d-old from C57BL/6 mice as described previously (Sorg and Magistretti, 1992). Astrocytes were plated on 20 mm glass coverslips and cultured for 2–4 weeks in DMEM (Sigma) plus 10% FCS. Cocultures of neurons and astrocytes were prepared from 2-week-old primary cultures of astrocytes transfected with MitoSypHer (see below) on which neurons prepared from cerebral cortex of embryonic day 17 mice (C57BL/6) were plated. Briefly, neurons were prepared as follows. Cortex were dissected and incubated with 200 U of papain for 30 min at 34°C. Dissociated cells were plated at 0.8 × 106 cells per dish. Cocultures of cortical neurons were grown in B27/Neurobasal (Invitrogen) supplemented with 0.5 mmol/L glutamine and 100 μg/ml penicillin–streptomycin for 14 d.

Experimental solutions contained the following (in mm): 160 NaCl, 5.4 KCl, 20 HEPES, 1.3 CaCl2, 0.8 MgSO4, 0.78 NaH2PO4, and 5 glucose, pH 7.4, bubbled with air. Solutions for dye loading contained the following (in mm): 160 NaCl, 5.4 KCl, 20 HEPES, 1.3 CaCl2, 0.8 MgSO4, 0.78 NaH2PO4, and 20 glucose (supplemented with 0.1% Pluronic F127; Invitrogen). Calibration solutions for mitochondrial matrix pH contained the following (in mm): 20 NaCl, 125 KCl, 0.5 MgCl2, 0.2 EGTA, and 20 HEPES, bubbled with air. Calibration solutions for mitochondrial intermembrane space pH contained the following (in mm): 10 NaCl, 125 KCl, 1 CaCl2, 1 MgSO4, 1 KH2PO4, and 20 HEPES.

Astrocyte transfection

Two-week-old astrocytes were placed in 2 ml of antibiotic-free and serum-free DMEM with Fugene (Roche) and DNA encoding for MitoSypHer or MIMS–EYFP (enhanced yellow fluorescent protein targeted to the mitochondrial intermembrane space). Quantities of microgram of DNA per microliters of FuGene were 2/12 and 4/8 for MitoSypHer and MIMS–EYFP, respectively. After 4 h, the medium was changed with DMEM plus 10% serum, and cells were used 2–3 d after transfection for pure astrocyte culture and 14 d for mixed neuron–astrocyte cultures.

Live cell imaging

Epifluorescence microscopy.

Low-light level fluorescence imaging was performed on an inverted epifluorescence microscope (Axiovert 100M; Carl Zeiss) using a 40×, 1.3 numerical aperture oil-immersion objective lens. Fluorescence excitation wavelengths were selected using a monochromator (T.I.L.L. Photonics), and fluorescence was detected using a 12-bit cooled CCD camera (Princeton Instruments). Image acquisition and time series were computer controlled using the software Metafluor (Molecular Devices) running on a Pentium computer.

Cells were loaded in a HEPES-buffered balanced solution and then placed in a thermostated chamber designed for rapid exchange of perfusion solutions (Chatton et al., 2000) and superfused at 35°C. To avoid phototoxicity, excitation intensity was reduced to ∼10 μW (as measured at the entrance pupil of the objective) by means of neutral density filters.

For mitochondrial matrix pH measurement, we used the genetically encoded pH indicator MitoSypHer (Poburko et al., 2011). The probe enables ratiometric measurements that correct for changes in focal plane, organelle swelling, and photobleaching. It therefore faithfully reflects the pH changes that occur within mitochondria in living cells. MitoSypHer fluorescence was sequentially excited at 490 and 420 nm and detected at >515 nm. At the end of each experiment, in situ calibration was performed as described in supplemental Figure S1 (available at www.jneurosci.org as supplemental material). Mitochondrial intermembrane space was investigated as reported previously (Porcelli et al., 2005). Intracellular pH measurement was performed using the pH-sensitive dye 2-bis(carboxyethyl)-5,6-carboxyfluorescein (BCECF)-AM and Ca2+ with fura-2 AM as described previously (Chatton et al., 2001).

Cytosolic Na+ was measured as described previously (Chatton et al., 2000) using the indicator sodium-binding benzofuran isophthalate (SBFI-AM) (Teflabs). Cell loading was performed at 37°C using 15 μm SBFI-AM, and fluorescence was sequentially excited at 340 and 380 nm and detected at >520 nm. Fluorescence excitation ratios (F340nm/F380nm) were computed for each image pixel and calibrated to yield actual Nai+ concentrations as described in detail previously (Chatton et al., 2000). Mitochondrial Na+ concentration was investigated and calibrated as described by Bernardinelli et al. (2006) using the indicator CoroNa Red that specifically loads in mitochondria. CoroNa Red fluorescence was excited at 570 nm and detected at >590 nm.

Mitochondrial reactive oxygen species (mROS) production rate was measured using the mitochondrially targeted dye MitoSOX Red (Robinson et al., 2006). MitoSOX Red was loaded at 0.5 μm for 20 min at 37°C. Its fluorescence was excited at 510 nm and collected above 580 nm. For each experimental condition, the MitoSOX Red fluorescence slope was calculated using the software Kaleidagraph (Synergy Software) by performing the first-order derivative of locally weighted least-square error fit of the original traces. Data are reported as percentage of the slope measured in 2-deoxyglucose (2-DG) medium containing pyruvate. As a control, antimycin A (20 μg/ml) was applied to verify MitoSOX Red sensitivity to mROS level.

Confocal microscopy.

To verify the mitochondrial localization of the MitoSypHer and MIMS–EYFP proteins, transfected astrocytes were loaded for 20 min with MitoTracker Red (1 μm; Invitrogen) at 37°C and imaged by confocal microscopy (LSM 510 Meta; Carl Zeiss) using excitation light at 488 and 543 nm. Fluorescence emissions were collected at 505–530 nm (MitoSypHer or MIMS–EYFP) and >560 nm (MitoTracker Red).

Simultaneous monitoring of cytosolic and mitochondrial pH was performed at 37°C on a TCS SP5 confocal microscope using its 8 kHz Tandem resonant scanner (Leica Microsystems). The pH-sensitive cytosolic red dye SNARF-1 (carboxylseminaphthorhodafluo-1) (AM) was loaded for 25–30 min in HEPES loading solution and then washed for 15 min in HEPES solution containing glucose. Mitochondrial and cytosolic pH-sensitive indicators were excited using 488 nm low-intensity laser light illumination, and fluorescence was collected in three separated channels. MitoSypHer fluorescence emission was collected in the range 500–530 nm, and the emission ratio (620 nm − 765 nm)/(560 nm − 600 nm) was used for SNARF-1. At the end of each experiment, mitochondrial and cytosolic pH were simultaneously calibrated as described previously (Poburko et al., 2011).

Oxygen consumption rate

The oxygen consumption rate was assessed using an Extracellular Flux Analyzer (Seahorse Biosciences). Extracellular flux analysis is a noninvasive assay that uses calibrated optical sensors that directly measures the oxygen consumption rate in cells that remain attached to the culture plate. Before experiments, astrocytes were incubated 1 h at 37°C in a CO2-free incubator in a 10 mm HEPES-buffered DMEM containing 10 mm 2-DG, 5 mm glucose, and 5 mm pyruvate. Glutamate and triethylammonium (TREA) were injected in the medium at final concentrations of 200 μm and 20 mm, respectively. Oligomycin (5 μm) and carbonyl cyanide p-trifluoromethoxyphenylhydrazone (FCCP) (2 μm) were used as controls to inhibit and maximize mitochondrial respiration, respectively.

Statistics

Unless otherwise indicated, a paired Student's t test was performed for each experiment group to assess the statistical significance against respective controls, *, **, and *** refer to p values < 0.05, 0.01, and 0.001, respectively. For the analysis of distributions of mitochondrial matrix and cytosolic pH, p value was calculated using the two-tailed ANOVA on exponentially transformed pH values (SAS Institute).

Materials

All chemical dyes were from Invitrogen. Glutamate, d-aspartate, kainate, CNQX, and dl-threo-β-benzyloxyaspartate (TBOA) were from Tocris Bioscience (ANAWA Trading). Neurobasal was from Invitrogen. Ethyl-isopropyl amiloride (EIPA) was a gift from Dr. H. Lang (Aventis Pharma, Frankfurt, Germany). Manganese (III) tetrakis(1-methyl-4-pyridyl) porphyrin (MnTMPyP) was from Calbiochem. All other substances were from Sigma.

Results

Glutamate induces mitochondrial pH changes in astrocytes

Glutamate uptake was shown to decrease cytosolic pH in cultured astrocytes (Rose and Ransom, 1996) and in hippocampal slices (Amato et al., 1994), but the impact of cytosolic acidification on mitochondrial physiology is not known. To address this issue, we used the genetically encoded pH-sensitive fluorescent biosensor MitoSypHer targeted to the mitochondrial matrix (Poburko et al., 2011). Two-week-old cultured astrocytes transfected with MitoSypHer plasmid exhibited a fluorescent protein expression pattern typical of mitochondrial labeling, with dark nuclei and punctate staining of rod-like structures (Fig. 1a1). In living cells, the expression of MitoSypHer perfectly matched the MitoTracker Red mitochondrial staining (Fig. 1a2,a3). In situ calibration of MitoSypHer signal, performed as depicted in supplemental Figure S1 (available at www.jneurosci.org as supplemental material), indicates that fluorescence excitation ratio was correlated with pH (Fig. 1b1).

Figure 1.
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Figure 1.

Glutamate evokes mitochondrial acidification in astrocytes. a, Images of cortical astrocytes expressing MitoSypHer loaded with the mitochondrial-selective fluorescent marker MitoTracker Red. Scale bar, 10 μm. b1, Calibration curve of MitoSypHer fluorescence excitation ratio versus pH. b2, Glutamate (200 μm) superfusion on intact astrocytes acidified the mitochondrial matrix. A typical trace from a single astrocyte is shown, along with pseudocolor intensity modulated fluorescence ratio images of cells before (ctrl) and during (glut) glutamate application. Scale bar, 20 μm. c, Amplitude of glutamate-induced intracellular acidifications induced by glutamate in the cytosol (n = 23, 172 cells), MIMS (n = 9, 26 cells), and mitochondrial matrix (n = 46, 168 cells). Data are shown as means ± SEM. d, Scheme for the localization of mitochondrial pH sensors (MIMS–EYFP and MitoSypHer). IMM, Inner mitochondrial membrane; OMM, outer mitochondrial membrane.

According to the chemioosmotic coupling hypothesis, mitochondrial matrix is expected to be more alkaline than cytosol because of the anticipated low permeability of the mitochondrial inner membrane and the constant extrusion of protons across mitochondrial inner membrane by the mitochondrial respiratory chain (Mitchell, 1979). Consistently, the resting mitochondrial matrix pH was found to be significantly higher than that of the cytosol measured in separate experiments using the indicator BCECF-AM (supplemental Fig. S5, available at www.jneurosci.org as supplemental material) or simultaneously using SNARF-1 (see Fig. 3). However, glutamate superfusion of astrocytes caused a rapid and significant drop in mitochondrial matrix pH (Fig. 1b2) whose amplitude was even greater than that found in the cytosol (Fig. 1c).

Glutamate superfusion (200 μm) also induced a rapid and significant pH drop in the mitochondrial intermembrane space (supplemental Fig. S2, available at www.jneurosci.org as supplemental material) measured using the MIMS–EYFP biosensor (Porcelli et al., 2005). The intermembrane space displayed an acidification of equal amplitude compared with the glutamate-induced cytosolic acidification (Fig. 1c), which is consistent with the described high permeability of the outer mitochondrial membrane to ions and small solutes attributable to the presence of mitochondrial porins (Blachly-Dyson and Forte, 2001). Thus, we focused the rest of the study on the mitochondrial matrix compartment.

Glutamate-evoked mitochondrial matrix pH acidification is mediated by glutamate transporters

The observed kinetics of acidification (Fig. 1b2) was reminiscent of a transporter-mediated process. Therefore, we investigated the concentration dependence parameters of glutamate-evoked mitochondrial matrix acidification. Both the amplitude and initial rate of glutamate-induced mitochondrial matrix acidification followed a Michaelis and Menten relationship with glutamate concentration (Fig. 2a). The maximal amplitude of mitochondrial matrix acidification was observed at 200 μm glutamate, and the apparent EC50 was 13.2 ± 5.1 μm. The initial rate of mitochondrial matrix acidification yielded an EC50 value of 83 ± 25 μm. Because kinetic parameters of glutamate-induced mitochondrial acidification closely matched values found previously for Na+-dependent plasma-membrane glutamate transport (Chatton et al., 2000), we attempted to inhibit glutamate transport using TBOA, a competitive inhibitor of glutamate transporters with a broad isoform selectivity. Indeed, TBOA (500 μm) reversibly inhibited the glutamate-evoked mitochondrial matrix acidification by 75 ± 2% (Fig. 2b) (supplemental Fig. S3, available at www.jneurosci.org as supplemental material). In addition, mitochondrial matrix pH was measured in cells that do not express glutamate transporters, namely HEK-293 cells. We found that glutamate application did not alter mitochondrial matrix pH in these cells (supplemental Fig. S4, available at www.jneurosci.org as supplemental material). Astrocytic cytosolic Ca2+ is expected to increase in the presence of glutamate after activation of metabotropic receptors (mGluRs) and plasma membrane Na+/Ca2+ antiporter activity. The Ca2+ increase itself was shown to lead to mitochondrial acidification in HeLa cells by means of plasma membrane Ca2+/H+ exchange mediated by the Ca-ATPase (Poburko et al., 2011). To test whether this mechanism was also involved in astrocytes, we simultaneously monitored the mitochondrial matrix pH and cytosolic Ca2+ during application of (±)-1-amino-1,3-cyclopentanedicarboxylic acid (t-ACPD), a nonselective mGluR agonist that is not transported, or of d-aspartate, a substrate of glutamate transporters that does not activate mGluR. Figure 2c shows that, whereas both compounds lead to comparable Ca2+ increases, only the glutamate transporter substrate d-aspartate caused mitochondrial acidification. Together, these results indicate that glutamate transport mediated the mitochondrial matrix acidification, whereas activation of mGluRs had only a marginal effect on pH.

Figure 2.
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Figure 2.

Glutamate evokes a concentration-dependent mitochondrial matrix acidification mediated by glutamate transporters. a, Concentration dependence of the amplitude (open circles) and initial slope (filled triangles) of glutamate-induced mitochondrial matrix acidification (n = 24, 80 cells). b, TBOA reversibly inhibited a 200 μm glutamate-evoked mitochondrial matrix acidification. Amplitude of glutamate-induced mitochondrial matrix acidification before during and after TBOA (n = 5, 30 cells). See also supplemental Figure S2 (available at www.jneurosci.org as supplemental material). c, Ca2+ (top curves) and pHmit (bottom curves) responses were simultaneously monitored using fura-2 in MitoSypHer-transfected astrocytes. The applications of the mGluR agonist (t-ACPD, 100 μm) and glutamate transporter substrate D-asp (200 μm) are indicated in the graph. Traces are shown as mean signals with error bars (SEM) displayed every third time point for graphical clarity (n = 5, 8 cells).

Glutamate-induced cellular acidification abrogates the cytosol-to-mitochondrial matrix pH gradient

The pH gradient and electrical potential across the mitochondrial inner membrane are important determinants for ATP synthesis. Because cytosol and mitochondrial matrix responded to glutamate application with acidifications of different amplitudes (Fig. 1c), we evaluated the evolution of the pH gradient across the mitochondrial inner membrane before and during glutamate application.

We performed a statistical analysis of distributions of pH measured in either the mitochondrial matrix or the cytosol in separate cells and experiments (supplemental Fig. S5, available at www.jneurosci.org as supplemental material). Under basal conditions, the mitochondrial matrix was significantly more alkaline than the cytosol, consistent with the activity of the mitochondrial respiratory chain. However, we found that, during glutamate superfusion, both the mitochondrial matrix and the cytosol reached lower pH values that were not significantly different (supplemental Fig. S5, available at www.jneurosci.org as supplemental material), suggesting that glutamate uptake abrogates cytosol-to-mitochondrial matrix pH gradient.

To determine the respective dynamics of mitochondrial matrix and cytosolic pH during glutamate uptake in the same astrocytes, we loaded MitoSypHer-transfected astrocytes with the cytosolic red dye SNARF-1 (Fig. 3a). The pattern of SNARF-1 fluorescence had typical cytosolic distribution, with nuclei and cytoplasm homogeneously stained. Only astrocytes expressing MitoSypHer exhibited the spectral signature of both fluorophores (Fig. 3b). Consistent with the statistical evaluation described above, the mitochondrial matrix pH was found to be significantly higher than cytosolic pH at resting state (Fig. 3c,d). During glutamate superfusion, the two compartments no longer displayed statistically different pH values, indicating that glutamate abrogated the pH gradient between the mitochondrial matrix and the cytosol. Glutamate washout rapidly restored the pH difference between both compartments. The glutamate transporter substrate d-aspartate (500 μm) induced mitochondrial matrix acidification that canceled the transmembrane pH difference, indicating that glutamate did not induce mitochondrial acidification through intracellular metabolic reactions. The ionotropic glutamate receptor agonist kainate (500 μm) induced a mild but significant acidification in both mitochondrial matrix and cytosol, but it was insufficient to cancel the cytosol-to-mitochondrial matrix pH gradient.

Figure 3.
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Figure 3.

Glutamate-induced cellular acidification abrogates the cytosol-to-mitochondrial matrix pH gradient. a, Representative images of MitoSypHer-transfected astrocytes loaded with the cytosolic pH-sensitive red dye SNARF-1. Scale bar, 20 μm. b, Spectral selectivity of both probes by measuring emission spectra in nucleus (Nuc) and cytosol (Cyt) of transfected (Tr) and untransfected (UnTr) astrocytes labeled with SNARF-1. Both fluorophores were excited at 488 nm, and emission fluorescence was split into three channels, for MitoSypHer (Ch.1) and SNARF-1 (Ch.2 and Ch.3), respectively. c, d, Glutamate transporter-mediated acidification abrogates cytosol-to-mitochondrial matrix pH gradient. Original traces (c) and averaged data (d) of cytosolic and mitochondrial matrix pH during agonist-induced acidification. Both glutamate (Glu) and d-aspartate (D-Asp) caused a collapse of cytosol-to-mitochondrial matrix pH gradient (n = 7, 11 cells). Kai, Kainate. Error bars indicate SEM.

Dissociation of cellular Na+ and pH responses to glutamate

Because astrocytes experience substantial changes of both cytosolic and mitochondrial Na+ concentration during glutamate uptake, we investigated the possible inter-dependence of cellular Na+ and pH regulation. We tested a putative role of Na+/H+ exchangers using EIPA (50 μm), a compound known to inhibit Na+/H+ exchanger of both plasma membrane and mitochondria, as described in previous studies on the same astrocyte preparation (Bernardinelli et al., 2006). EIPA altered neither resting mitochondrial matrix pH nor the amplitude of glutamate-induced mitochondrial matrix acidification (supplemental Fig. S6, available at www.jneurosci.org as supplemental material), ruling out a significant contribution of the mitochondrial Na+/H+ exchanger in glutamate-evoked mitochondrial acidification.

We then designed a protocol to dissociate the effects of glutamate on cellular acidification from its effects on sodium concentration, by coadministering the weak base TREA together with glutamate. The concentration of TREA necessary to precisely compensate glutamate-induced cytosolic acidification was titrated by superfusing glutamate (200 μm) alone, followed by successive applications of TREA at increasing concentrations (n = 4, 32 cells) (data not shown). In this series of experiments, 6 mm TREA efficiently prevented a 1.5 min glutamate-induced acidification. Under these conditions, glutamate-induced mitochondrial matrix acidification was severely impaired. In contrast, both cytosolic and mitochondrial Na+ responses to glutamate, measured with SBFI-AM and the mitochondrial Na+ indicator CoroNa Red, respectively, were essentially maintained, indicating that TREA did not prevent Na+-coupled glutamate transport (Fig. 4a). Together, these experiments suggest that glutamate-induced cellular acidification and Na+ responses are not strictly coupled. In addition, this protocol enabled producing a chemical ablation of glutamate-induced cellular acidification that has subsequently been used to highlight the role of pH on glutamate-induced metabolic changes. As seen in Figure 4b, the alkalinizing effect of TREA somewhat declined during its application. Therefore, the concentration of TREA was adapted for each subsequent series of experiments and protocols.

Figure 4.
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Figure 4.

Independence of cellular Na+ and pH responses to glutamate. a, Glutamate-evoked cellular Na+ responses without concomitant pH changes. After a first control pulse of glutamate application, glutamate was superfused together with 6 mm TREA, the concentration found to compensate glutamate-induced cytosolic acidification. pH measurements in the cytosol (pHcyt; n = 4, 32 cells) and mitochondrial matrix (pHmit; n = 6, 20 cells) and Na+ measurements in the cytosol (Nacyt+; n = 4, 30 cells) and mitochondria (Namit+; n = 4, 32 cells) were taken after 1.5 min of stimulation. Data are presented as means ± SEM. b, Cytosolic pH measurement during a pulse of 200 μm glutamate (solid line) and during glutamate plus TREA application (dotted line). In the example shown, 10.7 mm TREA effectively prevented the acidification during glutamate application, as measured after 5 min of glutamate application.

Glutamate induces a pH-mediated decrease in oxygen consumption rate and mitochondrial reactive oxygen species production

We then investigated whether glutamate-induced mitochondrial acidification has an impact on mitochondrial physiology. In these experiments, astrocytes were preincubated in the presence of the glycolysis inhibitor 2-deoxyglucose (2-DG) and pyruvate was added as a mitochondrial energy substrate to promote mitochondrial ATP production and avoid potential confounding effects of glycolysis activation. In this condition, the oxygen consumption rate was approximately equal to that measured at the end of experiments in the presence of the mitochondrial uncoupler FCCP (Fig. 5a), suggesting that mitochondrial respiration was close to its maximal capacity. mROS production rate (see below) was also approximately threefold greater in glycolysis-inhibited astrocytes compared with a glucose-containing medium (p < 0.001; n = 42, 250 cells).

Figure 5.
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Figure 5.

Glutamate induces a pH-mediated decrease of oxygen consumption rate. Glycolysis was inhibited using 2-DG (10 mm) to promote mitochondrial activity, and glucose (5 mm) and pyruvate (5 mm) were given as substrates. a, Time course of oxygen consumption rate in intact astrocytes in the absence and presence of glutamate (top; n = 7). When glutamate-induced cellular acidification was compensated by coadministration of TREA (20 mm), glutamate no longer significantly decreased oxygen consumption rate (bottom; n = 6). As a control, mitochondrial respiration was inhibited using oligomycin (5 μm) and then increased using FCCP (2 μm) at the end of each experiment. b, Average data of glutamate-induced decrease in oxygen consumption rate with increasing concentrations of TREA. Data were normalized to oxygen consumption rate before glutamate addition for each experiment (n = 42).

Using a fluorescence-based oxygen analyzer, we measured the oxygen consumption rate in the vicinity of intact astrocytes during glutamate uptake. We found that glutamate decreased the oxygen consumption rate to 88 ± 1% of the basal level (Fig. 5). However, when glutamate was applied together with TREA to prevent intracellular acidification, the oxygen consumption rate remained unchanged. It is important to mention that the glutamate-mediated decrease of respiration was also observed when with glycolysis was functional, i.e., in glucose medium without 2-DG. Under these conditions, glutamate decreased oxygen consumption rate by 17 ± 3% (n = 20).

To investigate whether glutamate-mediated decrease of oxygen consumption could be explained by modulation of nonrespiratory processes, we first inhibited coupled respiration using oligomycin (F0F1 ATPase inhibitor) and measured the remaining oxygen consumption. This residual oxygen consumption is attributable to uncoupled respiration (i.e., proton leak) and other oxidative processes. Supplemental Figure S7 (available at www.jneurosci.org as supplemental material) indicates that, when glutamate was subsequently added on top of oligomycin, no additional reduction in oxygen consumption rate was observed. This result indicates that the glutamate-mediated decline of oxygen consumption can be entirely attributed to the coupled respiration and that other oxygen-consuming processes did not contribute to the observed decrease. Together, these experiments suggest that glutamate induces a pH-mediated decrease of mitochondrial oxygen respiration in astrocytes.

During normal mitochondrial respiration, 0.2–2% of consumed oxygen is transformed into mROS from complexes I and III of the mitochondrial respiratory chain (Balaban et al., 2005). We reasoned that, if glutamate induced a decrease in mitochondrial respiration, it should also decrease mROS production rate. To investigate this hypothesis, we used the mROS-sensitive probe MitoSOX Red, which selectively loads into mitochondria (supplemental Fig. S8, available at www.jneurosci.org as supplemental material) and becomes fluorescent when oxidized by mROS. Measuring the slope of MitoSOX Red fluorescence increase enabled real-time monitoring alterations of the mROS production rate. During application of glutamate, mROS production was altered in a biphasic way (Fig. 6a) in which an initial increase of mROS production rate was followed by a sustained decrease to 75 ± 3% of the initial value within 1.5 min. mROS production rate did not immediately recover to baseline after glutamate washout. The transient increase in mROS production rate was abolished in the presence of the cell-permeable superoxide dismutase mimetic MnTMPyP (Strathmann et al., 2010), applied on cells 10 min before glutamate stimulation. Conversely, the subsequent sustained decrease in mROS induced by glutamate was somewhat enhanced in the presence of ROS scavenger. The first transient increase in mROS was prevented when mGluRs were inhibited using (+)-α-methyl-4-carboxyphenylglycine (MCPG) (1 mm) but did not prevent the following steady decrease. Blocking glutamate uptake using TBOA during glutamate application led to a stable increase of mROS production rate as measured after 5 min of stimulation (Fig. 6b). The inhibition of glutamate uptake may have actually unveiled the stimulatory effect mediated by metabotropic glutamate receptors on mROS production rate occurring in the absence of intracellular acidification, which involves Ca2+ responses (Fig. 2c). To test this hypothesis, we stimulated astrocytes with glutamate in the presence of TBOA and the metabotropic glutamate receptor inhibitor MCPG. MCPG prevented the steady increase of mROS production rate in the presence of glutamate and TBOA (Fig. 6b). We then tested whether the steady decrease in mROS production rate caused by glutamate was linked to glutamate-evoked intracellular acidification. When glutamate-induced acidification was compensated using TREA, glutamate no longer altered mitochondrial ROS production rate. Together, these experiments suggest that glutamate induces a pH-mediated alteration of mROS production rate characterized by an initial transient increase of mROS production rate mediated by mGluRs followed by a stable decrease of mROS production rate attributable to intracellular acidification.

Figure 6.
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Figure 6.

Glutamate induced a pH-mediated alteration of mROS production rate. Glycolysis was inhibited using 2-DG (10 mm) to promote mitochondrial activity, and pyruvate (5 mm) was given as mitochondrial substrate. The mROS production rate during 2-DG plus pyruvate phase was considered as the reference rate of 100%. a, Time course of mROS production rate during stimulation with glutamate, coadministration of glutamate and TREA (10.7 mm), glutamate and MCPG (1 mm), or glutamate in the presence of the ROS scavenger MnTMPyP (50 μm). At the end of each experiment, antimycin A (Ant. A) was used as a positive control of mROS detection. Traces are shown as mean signals with error bars (SEM) displayed every 10th time point for graphical clarity. b, Mean values of mROS production rate after 5 min of stimulation. Conditions: MCPG (n = 5, 30 cells); TBOA (n = 3, 12 cells); TREA (n = 6, 34 cells); glutamate (n = 6, 34 cells); glutamate + MCPG (n = 5, 30 cells); glutamate + MnTMPyP (n = 3, 26 cells); glutamate + TBOA (n = 6, 36 cells); glutamate + TBOA + MCPG (n = 6, 45 cells); glutamate + TREA (n = 6, 30 cells). Statistical analysis was done for each group by comparison with the MitoSOX slope before stimulation. All data shown are means ± SEM.

Neuronal release of glutamate triggers mitochondrial matrix acidification in astrocytes

Finally, we asked whether glutamate released by neurons during activity could cause mitochondrial matrix acidification in astrocytes. To address this issue, we set up a mixed culture model resembling the in vivo cytoarchitecture, in which astrocyte membranes are in close proximity with neuronal synapses. Cortical astrocytes previously transfected with MitoSypHer were cocultured with neurons for 2 weeks. Under differential interference contrast (DIC) microscopy, neurons were recognizable by their pyramidal soma with several extending processes (Fig. 7a). Astrocytes expressing MitoSypHer were identified by their mitochondrial fluorescent pattern. In this preparation, synaptic boutons were in close apposition with astrocyte mitochondria labeled with MitoSypHer (supplemental Fig. S9a, available at www.jneurosci.org as supplemental material). In addition, we determined that a 20 s application of NMDA (10 μm) reliably and selectively evoked a reversible cytosolic Ca2+ increase in neurons, even in the presence of TBOA. Consistent with previous reports (Verkhratsky and Steinhauser, 2000), we found that NMDA had no effect on cytosolic Ca2+ levels in pure culture of astrocytes (supplemental Fig. S9b,c, available at www.jneurosci.org as supplemental material). Therefore, NMDA application was used as a tool to evoke neuronal excitatory responses expected to stimulate glutamate release, and mitochondrial matrix pH was measured in surrounding MitoSypHer-transfected astrocytes.

Figure 7.
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Figure 7.

Neuronal release of glutamate triggers glutamate transporter-mediated mitochondrial matrix acidification in astrocytes. Images depicting fluorescent MitoSypHer expression in astrocytes (a1) surrounding neurons visible under DIC (a2). Scale bar, 20 μm. b1, MitoSypHer fluorescence excitation ratio monitored in astrocytes during a 20 s stimulation of neurons using NMDA (10 μm). Representative trace (b1) and individual data (b2) of mitochondrial matrix pH of astrocytes at baseline and after NMDA stimulation. c, Amplitudes of NMDA-evoked astrocyte mitochondrial matrix acidification in the absence or presence of TBOA and neurons. NMDA (n = 9, 16 cells); NMDA + TBOA (n = 5, 7 cells); NMDA without neurons (n = 4, 11 cells). * p < 0.05 and ** p < 0.01 using unpaired Student's t test.

Figure 7b shows that, during a 20 s NMDA stimulation, the mitochondrial matrix pH of astrocytes declined to a maximal acidification of 0.05 ± 0.01 pH units after 112 ± 15 s. Mitochondrial matrix pH recovered to its initial value 4–5 min later. In the absence of neurons, NMDA application did not significantly alter the mitochondrial matrix pH (Fig. 7c), indicating that NMDA-triggered mitochondrial matrix acidification in astrocytes is specifically linked to neuronal activity. We used TBOA to investigate whether in this situation astrocyte mitochondrial matrix acidification is mediated by plasma membrane uptake of glutamate. TBOA alone did not significantly alter the basal mitochondrial matrix pH (0.03 ± 0.02; n = 5, 7 cells; p > 0.05). Consistent with results presented above (Fig. 2) (supplemental Fig. S3, available at www.jneurosci.org as supplemental material), TBOA diminished the astrocyte mitochondrial matrix acidification in response to NMDA-mediated neuronal activation (Fig. 7c). The extent of inhibition was however not as pronounced as in pure astrocyte cultures. Together, these experiments suggest that the glutamate released by neurons during synaptic activity induces a glutamate transporter-mediated mitochondrial matrix acidification in astrocytes.

Discussion

This study was designed to evaluate the impact of glutamatergic neurotransmission on mitochondrial metabolism of astrocytes. We show that glutamate uptake in astrocytes causes a pH modulation in mitochondria that rapidly impacts on the oxidative metabolism.

Glutamate uptake through high-affinity Na+-coupled transporters has been identified as the first step that enables astrocytes to sense the level of excitatory neuronal activity and to provide a proportionate metabolic response (Pellerin and Magistretti, 1994; Magistretti et al., 1999; Voutsinos-Porche et al., 2003). The influx of Na+ ions and subsequent activation of the Na,K-ATPase have been shown to enhance glucose capture from the extracellular space. It has been estimated that glutamate transporter-mediated Na+ influx increased the overall ATP consumption by approximately twofold to threefold (Chatton et al., 2000). Glutamate transporters have a complex stoichiometry of one glutamate cotransported with three Na+ and one proton in exchange with one K+ (Levy et al., 1998). Thus, transporter activity includes an inward movement of one proton with each cycle of transport, explaining the observed cellular acidification. Astrocytes, both in primary culture and in vivo, possess a substantial density of mitochondria, the site of oxidative phosphorylation and energy powerhouse of cells. During glutamatergic stimulation, the increased mitochondrial concentrations of Ca2+ and Na+ would be expected to stimulate mitochondrial respiration through activation of Ca2+-dependent dehydrogenases (Hajnóczky et al., 1995) and through increased pyruvate dehydrogenase activity (Pawelczyk and Olson, 1995), respectively. Glutamate taken up in astrocytes could also represent a substrate of the Krebs' cycle after conversion to α-ketoglutarate by the mitochondrial matrix enzyme glutamate dehydrogenase (Hertz et al., 2007).

The present study has investigated the impact of pH changes on astrocytic mitochondrial metabolism. In acute slices, neuronal activity was shown to induce cytosolic alkaline transients in the soma of astrocytes that follows extracellular potassium concentration increases (Chesler and Kraig, 1989). In contrast, the plasma membrane Na+-glutamate cotransporters coupled to proton entry causes cytosolic acidification (Amato et al., 1994; Rose and Ransom, 1996). It has recently been reported that, in situ, hippocampal neuronal stimulation is followed by glutamate uptake in astrocytes coincident with increases of cytosolic Na+ concentration in their fine processes (Langer and Rose, 2009). Similarly, glutamate transporter activity could potentially create local acidic cytoplasmic microdomains at the interface of plasma and mitochondrial membranes that could promote proton translocation into mitochondria. Because the ionic composition of the mitochondrial intermembrane space is considered to be equivalent to that of the cytosol, cytosolic pH changes are expected to alter pH gradient across mitochondrial inner membrane. We therefore engaged in investigations of mitochondrial pH in intact astrocytes using MitoSypHer, a novel genetically encoded pH sensor targeted to the mitochondrial matrix (Poburko et al., 2011).

We discovered that mitochondria of astrocytes undergo substantial acidification during glutamate uptake. By using an experimental model of cocultures of neurons and astrocytes, which enabled selective monitoring of mitochondrial pH in astrocytes, we discovered that evoking neuronal activity caused a sustained acidification in astrocyte mitochondria. The experimental evidence collected in this study indicates that the mechanism of acidification involves plasma membrane glutamate transporters for several reasons: (1) kinetic parameters of glutamate-evoked mitochondrial matrix acidifications closely matched values found for plasma membrane glutamate transporters (Chatton et al., 2000); (2) TBOA strongly inhibited the glutamate-evoked mitochondrial matrix acidification; (3) the alternate transporter substrate d-aspartate led to similar acidifications; (4) glutamate did not induce mitochondrial acidification in cultured HEK-293 cells that do not express glutamate transporters; and (5) a cytosolic Ca2+ increase evoked by the mGluRs agonist t-ACPD caused only a mild—if any—change of mitochondrial matrix pH in contrast to what was observed in HeLa cells (Poburko et al., 2011). Altogether, these data excluded the involvement of mGluRs in the glutamate-evoked mitochondrial matrix acidification and are consistent with glutamate transporters including an inward movement of a proton with each cycle of transport, thereby acidifying cells.

Data presented here did not point toward Na+ and mitochondrial Na+/H+ exchangers as main contributors to the observed mitochondrial pH response, because EIPA was without effect. The fact that kainate, which causes a cytosolic Na+ rise of similar amplitude as glutamate in astrocytes (Chatton et al., 2000), barely acidified mitochondria is another element against Na+/H exchanger contribution. Compensating cellular pH changes during glutamate uptake by administration of weak base, effectively abrogated the mitochondrial pH drop but maintained most of the Na+ response. Also, application of kainate, which causes a substantial Na+ elevation (Chatton et al., 2000; Bernardinelli et al., 2006), caused only a minor mitochondrial acidification. The fact that the acidification caused by kainate did not cancel the pH gradient likely comes from the fact that kainate generated less cytosolic acidification that was entirely handled by mitochondrial regulatory mechanisms. Under the current experimental conditions, it appears that protons are translocated across the mitochondrial membranes by other transport mechanisms. It is currently known that mitochondria do possess channels for cations, as well as numerous exchangers and cotransporters involving transmembrane cation movements, and that energy dissipation is limited by the fact that they are tightly regulated (Bernardi, 1999). For instance, we and others have demonstrated that cytosolic Na+ enters mitochondria, in which its concentration is regulated (Bernardinelli et al., 2006). Several candidate pathways exist for proton entry, including uncoupling proteins (proton leak), and cation–proton exchangers. Besides ion transport, shuttling of metabolites or of organic weak acids or bases might also move protons across the inner mitochondrial membrane. However, the fact that glutamate does not depolarize but rather mildly hyperpolarize mitochondria in astrocytes (Kahlert et al., 2008) does not support a cationic (proton) channel opening.

Several experimental data point to the fact that pH profoundly influences cellular functions, for instance, by direct pH modulation of enzymes (Casey et al., 2010). At the mitochondria level, besides enzymatic pH modulation, the proton gradient across the mitochondrial membrane is central to the ability of mitochondria to synthesize ATP. Such regulation has been observed recently in pancreatic β-cells (Wiederkehr et al., 2009), in which mitochondrial matrix pH was found to be a key determinant of mitochondrial energy metabolism. We simultaneously evaluated the dynamics of cytosolic and mitochondrial matrix pH and found that the pH gradient across mitochondrial inner membrane was abrogated during glutamate uptake. Therefore, we examined whether the observed acidification in mitochondria directly influenced their metabolic function. Direct monitoring of the oxygen consumption of astrocytes during glutamate uptake demonstrated that a significant decrease of respiration was taking place during glutamate uptake that depended on intracellular acidification. The glutamate-induced decrease of mitochondrial respiration was then confirmed by measuring the production of mROS, a side product of electron transport in the respiratory chain (Balaban et al., 2005). We found that glutamate application steadily decreased mROS output of astrocytes, an observation compatible with the notion that glutamate entry reduces the mitochondrial respiratory chain electron flow. Interestingly, as was found for oxygen consumption, glutamate uptake without concomitant intracellular acidification did not alter mROS production rate, highlighting the central role of acidification in the glutamate effects. This observation is in line with results presented with isolated mitochondria (Selivanov et al., 2008) in which mROS production was strongly impaired by lowering mitochondrial matrix pH. This was found to be the case when matrix and extramitochondrial milieus both shifted to acidic or alkaline values (transmembrane pH gradient kept intact) and also when both milieus were clamped to the same acidic pH (zero pH gradient). In the context of the present study, it means that acidification of the matrix by glutamate even when the delta pH is not collapsed has important functional consequences for mitochondrial functional output of astrocytes.

It is worth noting that the opposite situation may occur in neurons because neuronal metabolism is preferentially oxidative (Tsacopoulos and Magistretti, 1996; Herrero-Mendez et al., 2009) and mainly regulated by a Ca2+-dependent signaling during activity (Duchen, 1992). Indeed, glutamate was found to induce a mitochondrial matrix alkalinization in neurons (Abad et al., 2004), a situation associated with increase in mitochondrial ATP production (Wiederkehr et al., 2009). Our results also suggested that mGluRs activation by glutamate enhances mitochondrial metabolism in astrocytes in situations in which glutamate uptake is not taking place. These results raise the possibility of a differential regulation of mitochondrial metabolism within cellular compartments of the astrocytes. In fine processes in which the cytosolic calcium increase dominates, mitochondrial metabolism may increase, whereas mitochondria close to glutamate transporters in perisynaptic processes are most likely to be affected by the glutamate-induced decrease in intracellular pH.

Glutamate capture associated with excitatory neurotransmission has a high energy cost. Without the ability to increase their mitochondrial metabolism, astrocytes appear to resort to aerobic glycolysis as an alternative way to meet increased energy demands. Our measurements of functional mitochondrial output provide a plausible explanation for the described prevalence of the glycolytic response (Pellerin and Magistretti, 1994) as a means of providing sufficient ATP during glutamate uptake. We propose therefore that glutamate transport tunes oxidative metabolism in perisynaptic domains during Na+-mediated increase in ATP demands by a pH-mediated decrease in mitochondrial metabolism. The coincidence of the two phenomena promotes the glycolytic metabolism of glucose and the release of glycolysis-derived lactate, as an energy substrate for activated neurons. In addition, by limiting mitochondrial respiration in astrocytes, uptake of glutamate may prevent excessive astrocytic mROS production while maximizing oxygen availability for instance for neurons.

Footnotes

  • This work was supported by Swiss National Science Foundation Grant 3100A0-119827 (J.-Y.C.). We thank Steeve Menétrey for his technical assistance, Véronique Perret and Romano Regazzi for help with constructs for transfection, Luigi Bozzo for neuronal cultures, Rosario Rizzuto (University of Ferrara, Ferrara, Italy) and Anna Maria Porcelli (University of Bologna, Bologna, Italy) for providing the MIMS–EYFP construct, and Rudolf Kraftsik for his help with the statistical analysis.

  • Correspondence should be addressed to Jean-Yves Chatton, Department of Cell Biology and Morphology, University of Lausanne, Rue du Bugnon 9, CH-1005 Lausanne, Switzerland. jean-yves.chatton{at}unil.ch

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9 Mar 2011
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Glutamate Transport Decreases Mitochondrial pH and Modulates Oxidative Metabolism in Astrocytes
Guillaume Azarias, Hélène Perreten, Sylvain Lengacher, Damon Poburko, Nicolas Demaurex, Pierre J. Magistretti, Jean-Yves Chatton
Journal of Neuroscience 9 March 2011, 31 (10) 3550-3559; DOI: 10.1523/JNEUROSCI.4378-10.2011

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Glutamate Transport Decreases Mitochondrial pH and Modulates Oxidative Metabolism in Astrocytes
Guillaume Azarias, Hélène Perreten, Sylvain Lengacher, Damon Poburko, Nicolas Demaurex, Pierre J. Magistretti, Jean-Yves Chatton
Journal of Neuroscience 9 March 2011, 31 (10) 3550-3559; DOI: 10.1523/JNEUROSCI.4378-10.2011
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