Enhancement of Astroglial Aerobic Glycolysis by Extracellular Lactate-Mediated Increase in cAMP

Introduction

Aerobic glycolysis, non-oxidative metabolism of glucose despite the presence of adequate levels of oxygen, a phenomenon termed “the Warburg effect,” is an inefficient way to generate energy in the form of ATP. The advantage of this process, however, appears to be in providing intermediates for the biosynthesis of lipids, nucleic acids, and amino acids (Vander Heiden et al., 2009). These are needed for making new cells during division, such as in cancer cells and in developing normal cells, and for cells engaged in morphological reshaping, such as neural cells in the central nervous system (CNS; Goyal et al., 2014).

At least in the brain, aerobic glycolysis appears to be regulated. For example, during alerting, sensory stimulation, exercise, and pathophysiological conditions, L-lactate production and release are upregulated. Although it is still unclear how this takes place at the cellular level, the process likely involves noradrenergic neurons from locus coeruleus (LC; Dienel and Cruz, 2016). L-lactate can be produced from glycogen stored in astrocytes, an abundant glial cell type in the CNS, and can be used by neurons and oligodendrocytes, which seem to require L-lactate in addition to D-glucose for their optimal function, including memory formation (Cowan et al., 2010; Barros, 2013; Gao et al., 2016; Dong et al., 2017), myelin production, and the sustenance of long axons (Lee et al., 2012; Rinholm and Bergersen, 2012). In addition, L-lactate is considered to be neuroprotective against various types of brain damage (Castillo et al., 2015) and is required for cancer cell survival (Roland et al., 2014).

These effects suggest that L-lactate not only acts as a fuel but also has extracellular signaling roles (Chen et al., 2005; Barros, 2013; Roland et al., 2014). L-lactate modulates the activity of primary cortical neurons through a receptor-mediated pathway (Bozzo et al., 2013), and the activation of astrocytes by LC neurons results in the release of L-lactate, which back-excites LC neurons and stimulates the further release of noradrenaline (NA; Tang et al., 2014). These effects are supported by the observation that the monocarboxylate transporter 2 (MCT2), transporting L-lactate, is selectively co-located with glutamate receptors at the postsynaptic membranes of fast-acting excitatory synapses (Bergersen et al., 2001). Interestingly, L-lactate appears to promote gene expression that mediates N-methyl-D-aspartate (NMDA)-related neuronal plasticity (Yang et al., 2014) and the expression of membrane metabolite receptors at the plasma membrane (Castillo et al., 2015). L-lactate is known to mediate cerebral vasodilatation, causing increased brain blood flow (Gordon et al., 2007, 2008).

The notion of multiple signaling roles of L-lactate and its widespread diffusion in tissues led to the concept of L-lactate being a “volume transmitter” of metabolic information (Chen et al., 2005) and perhaps also a gliotransmitter (Tang et al., 2014) in the brain.

L-lactate signaling may occur through several mechanisms, including the modulation of prostaglandin action (Gordon et al., 2008), redox regulation (Brooks, 2009), and the activation of the L-lactate-sensitive receptors, such as G_i-protein coupled receptors GPR81 (Lauritzen et al., 2014) or the yet unidentified plasma membrane receptors (Tang et al., 2014).

The L-lactate selectivity of the GPR81 receptor (EC₅₀ ≈ 5 mM for rat GPR81; Liu et al., 2009), also known as hydroxycarboxylic acid receptor 1 (HCA₁ or HCAR1), was discovered in adipose tissues (reported EC₅₀ range from 1 to 5 mM; Cai et al., 2008; Liu et al., 2009), where GPR81 is highly expressed and down-regulates the formation of cytosolic cyclic adenosine monophosphate ([cAMP]_i) by coupling to G_i-protein and inhibiting the cAMP producing enzyme adenylate cyclase (AC), thereby in an autocrine loop inhibiting lipolysis and promoting energy storage (Ahmed et al., 2010). Whether a similar signaling loop is present in astrocytes is not known and was explored in this study. Quantitative RT-PCR analysis of human, rat, and mouse brain tissue revealed the presence of mRNA GPR81 in the brain, although at very low levels compared to adipose tissue (Liu et al., 2009). Consistent with RT-PCR analysis, RNA sequencing transcriptome databases revealed the presence of GPR81 mRNA in individual types of mouse brain cells, including astrocytes (Zhang et al., 2014; Sharma et al., 2015). Immunohistochemical studies on mouse brain tissue slices also suggested the presence of the GPR81 receptor in neurons, endothelial cells, and at low density of expression in astrocytes, in particular in membranes of perivascular astrocytic processes and not so much in perisynaptic processes of astrocytes (Lauritzen et al., 2014; Morland et al., 2017). The mechanism of how L-lactate via activation of a GPR81 receptor would modulate [cAMP]_i, cytosolic levels of D-glucose ([glucose]_i) and L-lactate ([lactate]_i) in brain, in particular in astrocytes that are actively involved in the regulation of brain metabolism and produce L-lactate, is currently unknown.

In contrast to the situation in adipocytes, where the GPR81 receptor agonist decreases [cAMP]_i (Ahmed et al., 2010), we show here by fluorescence resonance energy transfer (FRET) microscopy on single astrocytes expressing FRET-nanosensors for cAMP and L-lactate that very high levels of extracellular L-lactate and the agonist for the L-lactate GPR81 receptor 3-chloro-5-hydroxybenzoic acid (3Cl-5OH-BA; Dvorak et al., 2012) elevate [cAMP]_i and [lactate]_i in astrocytes, as does the activation of adrenergic receptors (ARs). The 3Cl-5OH-BA-dependent elevation in [lactate]_i and the extracellular L-lactate-mediated rise in [cAMP]_i, both act through the activation of AC in astrocytes, as demonstrated by the use of an AC inhibitor. Interestingly, in astrocytes from the L-lactate specific GPR81 receptor knock-out (KO) mice, 3Cl-5OH-BA still elevated [cAMP]_i, indicating that the supposedly selective GPR81 agonist also activates a second, yet unidentified excitatory L-lactate receptor-like mechanism. Pretreatment of rat astrocytes with the sub-effective doses of 3Cl-5OH-BA reduced the L-lactate-induced elevation in [cAMP]_i, suggesting that 3Cl-5OH-BA and L-lactate at least to some extent bind to the same yet unidentified receptor. A new generation GPR81 selective high affinity agonist lead compound, Compound 2 (4-methyl-N-(5-(2-(4-methylpiperazin-1-yl)-2-oxoethyl)-4-(2-thienyl)-1,3-thiazol-2-yl)cyclohexanecarboxamide; Sakurai et al., 2014) reproduced the cAMP enhancing effects of L-lactate and 3Cl-5OH-BA, further supporting the existence of an unidentified L-lactate receptor. The new excitatory L-lactate receptor-mediated mechanism (“metabolic excitability”) may participate in maintaining high [lactate]_i in cells exhibiting aerobic glycolysis, such as in astrocytes (Mächler et al., 2016), contributing to the elevated levels of extracellular L-lactate in comparison to the plasma levels (Abi-Saab et al., 2002). While generating metabolic intermediates required for cell division and morphological plasticity, this regulation presumably facilitates the exit of L-lactate into the extracellular space, where it can become an autocrine and paracrine signal. Since relatively high concentrations of L-lactate (20 mM, but not 2 mM) are required for the increase in second messenger cAMP (the predicted brain physiological concentrations of L-lactate are up to 2 mM), the putative novel facilitatory L-lactate receptor-like mechanism may have a role under conditions of very high extracellular L-lactate that may occur during extreme exercise (Osnes and Hermansen, 1972; Matsui et al., 2017) or neuronal activity (for example during seizures; During et al., 1994). Such a scenario may also be relevant if local fluctuations of extracellular L-lactate concentration exist in brain microdomains (Morland et al., 2015; Mosienko et al., 2015).

Materials and Methods

Cell Culture, Transfection, and Reagents

Primary cultures of astrocytes were prepared from cortices of 2–3 and 1–4 days old rat and wild type (WT) or GPR81 KO mice pups, respectively, as described previously (Schwartz and Wilson, 1992), and grown in high-glucose (25 mM) Dulbecco’s Modified Eagle’s Medium containing 10% fetal bovine serum, 1 mM sodium pyruvate, 2 mM L-glutamine, and 25 μg/ml penicillin-streptomycin at 37°C in 95% air–5% CO₂ until reaching 70–80% confluency. Confluent cultures were shaken at 225 rpm overnight, and the medium was changed the next morning; this was repeated three times. After the third overnight shaking, the cells were trypsinized and put in flat tissue culture tubes with 10 cm² growth area. After reaching confluency, the cells were trypsinized and plated on 22-mm diameter glass cover slips coated with poly- L-lysine. By using quantitative PCR, we verified that astrocytes from the GPR81 KO animals were devoid of the GPR81 RNA transcript. The purity of rat astrocytes was determined immunocytochemically using antibodies against the astrocytic marker GFAP (Abcam, Cambridge, United Kingdom) and >94% of imaged cultured cells were GFAP-positive (Stenovec et al., 2016). 3T3-L1 fibroblasts (ATCC-LGC Standards, VA, United States) were grown in high-glucose Dulbecco’s Modified Eagle’s Medium containing 10% fetal bovine serum and 2 mM L-glutamine. BT474 cancer cells (BT-474 Clone 5; ATCC^® CRL-3247^TM; ATCC-LGC Standards) were grown in Hybri-Care medium (ATCC^® 46-X^TM; ATCC-LGC Standards) supplemented with 1.5 g/L sodium bicarbonate and 10% fetal bovine serum. 3T3-L1 and BT474 cells were grown in culture flasks with 25 cm² growth area at 37°C in 95% air–5% CO₂. After reaching 70–80% confluency, cells were trypsinized and plated on 22-mm diameter glass cover slips coated with poly- L-lysine.

After 24–72 h, transfection with plasmids carrying FRET-based nanosensors was performed with FuGENE^® 6 transfection reagent according to manufacturer’s instructions (Promega Co., Madison, WI, United States). Transfection medium contained no serum or antibiotics.

GPR81 KO and WT mice (Ahmed et al., 2010) in C57Bl/6N background were bred in Oslo from founder mice obtained from Stefan Offermanns, Max-Planck-Institute for Heart and Lung Research, Department of Pharmacology, D-61231 Bad Nauheim, Germany. The experimental animals were cared for in accordance with the International Guiding Principles for Biomedical Research Involving Animals developed by the Council for International Organizations of Medical Sciences and the Animal Protection Act (Official Gazette RS, No. 38/13). The experimental protocol was approved by The Administration of the Republic of Slovenia for Food Safety, Veterinary and Plant Protection (Republic of Slovenia, Ministry of Agriculture, Forestry and Food, Ljubljana), Document No. U34401-47/2014/7, signed by Barbara Tomše, DVM. All experiments were performed on rat astrocytes isolated from at least two different animals. All chemicals were from Sigma-Aldrich (St. Louis, MO, USA) unless otherwise noted.

FRET Measurements of [cAMP]_i and PKA Activity

Cells expressing the FRET-based cAMP nanosensor Epac1-camps (Nikolaev et al., 2004) or the PKA nanosensor AKAR2 (Zhang et al., 2005) were examined 24–48 h after transfection with a Plan NeoFluoar 40×/1.3 NA oil differential interference contrast (DIC) immersion objective (Carl Zeiss, Jena, Germany) using a Zeiss LSM510 META confocal microscope (Carl Zeiss, Jena, Germany). Cells were excited at 458 nm, and images (512 × 512) were acquired every 3.5 s using lambda stack acquisition. Emission spectra were collected from the META detector in 8 channels (lambda stack) ranging from 470 nm to 545 nm, each with a 10.7-nm width. Two-channel [cyan fluorescent protein (CFP) and yellow fluorescent protein (YFP)] images were generated using the analytical software Extract channels (Zeiss LSM510 META, Carl Zeiss, Jena, Germany). Channels with emission spectra at 470 and 481 nm and emission spectra at 513, 524, and 534 nm were extracted to the CFP and YFP channels, respectively. YFP and CFP fluorescence intensities were quantified within a region of interest (ROI) selected for individual cells expressing Epac1-camps or AKAR2 using the LSM510 META software.

In some experiments, astrocytes expressing the Epac1-camps FRET nanosensor, were examined 24 h after transfection with a fluorescence microscope Zeiss Axio Observer.A1 (Zeiss, Oberkochen, Germany) with a CCD camera and monochromator Polychrome V (Till Photonics, Graefelfing, Germany) as a monochromatic source of light with a wavelength 436 nm/10 nm. Dual emission intensity ratios were recorded using an image splitter (Optical Insights, Tucson, AZ, United States) and two emissions filters (465/30 nm for CFP and 535/30 nm for YFP). Images were acquired every 3.5 s with an exposure time of 0.1 s. CFP and YFP fluorescence intensities were obtained from the integration of ROI over the entire cell using Life Acquisition software (Till Photonics, Graefelfing, Germany).

In the graphs, the FRET ratio signal was reported as the ratio of the CFP/YFP (Epac1-camps) and YFP/CFP (AKAR2) fluorescence signals after subtracting the background fluorescence from the signals using Excel (Microsoft, Seattle, WA, United States). The values of the FRET signals were normalized to 1.0. An increase in the FRET ratio signal reflects an increase in the [cAMP]_i and the PKA activity.

Initially, astrocytes were kept in extracellular solution (10 mM Hepes/NaOH, pH 7.2, 10 mM D-glucose, 131.8 mM NaCl, 1.8 mM CaCl₂, 2 mM MgCl₂, and 5 mM KCl) or extracellular solution with sodium bicarbonate (10 mM Hepes/NaOH, pH 7.2, 10 mM D-glucose, 131.8 mM NaCl, 1.8 mM CaCl₂, 2 mM MgCl₂, 5 mM KCl, 0.5 mM NaH₂PO₄ × H₂O, and 5 mM NaHCO₃) and were then treated with various reagents following a 100-s baseline: 1 μM NA, 10 μM isoprenaline (ISO), 2 or 20 mM L-lactate (osmolality was adjusted by lowering NaCl in extracellular solution containing sodium bicarbonate) and 0.5 mM 3Cl-5OH-BA. In some experiments cell were after initial a 100-s baseline pretreated with 100 μM 2′,5′-dideoxyadenosine (DDA) or 50 μM 3Cl-5OH-BA for 450 s and then stimulated with 20 mM L-lactate in the presence of DDA or 3Cl-5OH-BA, respectively. The 4-methyl-N-(5-(2-(4-methylpiperazin-1-yl)-2-oxoethyl)-4-(2-thienyl)-1,3-thiazol-2-yl)cyclohexanecarboxamide (Compound 2; Sakurai et al., 2014) was custom synthesized (ABX advanced biochemical compounds, D-01454 Radeberg, Germany). After the initial 90–100-s baseline, WT and GPR81 KO astrocytes were treated with GPR81 receptor agonist 3Cl-5OH-BA (0.5 mM) or Compound 2 (50 nM) and recorded for another 300 s. In control experiments, astrocytes were treated only with extracellular solution (Vehicle). Extracellular solution osmolality was ∼300 mOsm, measured with a freezing point osmometer (Osmomat030, Gonotech GmbH, Germany).

FRET Measurements of [glucose]_i and [lactate]_i

Astrocytes, 3T3-L1 embryonic preadipocyte fibroblast cells and BT474 cancer cells expressing the FRET-based glucose nanosensor FLII¹²Pglu-700 μδ6¹ (Takanaga et al., 2008; Prebil et al., 2011) or the FRET-based lactate nanosensor Laconic (San Martin et al., 2013) were examined 16–48 h after transfection with a fluorescence microscope (Zeiss Axio Observer.AI, Zeiss, Oberkochen, Germany), with a CCD camera and monochromator Polychrome V (Till Photonics, Graefelfing, Germany) as a monochromatic source of light with a wavelength 436 nm/10 nm. Dual emission intensity ratios were recorded using an image splitter (Optical Insights, Tucson, AZ, United States) and two emission filters; 465/30 nm for ECFP or mTFP and 535/30 nm for EYFP or Venus. Images were acquired every 10 s with an exposure time of 0.1 s. The background fluorescence was subtracted from individual EYFP or Venus and ECFP or mTFP fluorescence signals. The FRET ratio signals, EYFP/ECFP (FLII¹²Pglu-700 μδ6) and mTFP/Venus (Laconic), were obtained from the integration of the ratio signal over the entire cell using Life Acquisition software (Till Photonics, Graefelfing, Germany). The values of the FRET signals were normalized to 1.0. An increase in the FRET ratio signal reflects increases in the [glucose]_i and [lactate]_i.

Initially, cells were kept in extracellular solution with sodium bicarbonate (10 mM Hepes/NaOH, pH 7.2, 3 mM D-glucose, 135.3 mM NaCl, 1.8 mM CaCl₂, 2 mM MgCl₂, 5 mM KCl, 0.5 mM NaH₂PO₄ × H₂O, and 5 mM NaHCO₃), and were then treated with various reagents following a 200-s baseline: 200 μM ISO, 200 μM NA, 2 or 20 mM L-lactate, 0.5 mM 3Cl-5OH-BA, and 6 mM α-cyano-4-hydroxycinnamate (CHC). In some experiments, cells were, after an initial 200 s-baseline, pretreated with 100 μM DDA for 450 s and then stimulated with 0.5 mM 3Cl-5OH-BA in the presence of DDA. Extracellular solution osmolality was ∼300 mOsm, measured with a freezing point osmometer (Osmomat030, Gonotech GmbH, Germany).

Extraction of mRNA and Quantitative Real-Time PCR (qPCR)

Rat, WT mouse, and GPR81 KO mouse astrocytes were cultured in six-well plates. Total RNA was extracted from cultured astrocytes with the RNeasy Mini Plus Kit (Qiagen, Hilden, Germany). cDNA was synthesized from total RNA using the High-Capacity cDNA Reverse Transcription Kit (Applied Biosystems, Thermo Fisher Scientific, Vilnius, Lithuania). qPCR was performed on ABI PRISM SDS 7500 (Applied Biosystems, Thermo Fisher Scientific) in a 96-well format using TaqMan Universal PCR Master Mix (Applied Biosystems, Thermo Fisher Scientific, Foster City, United States) and gene expression assays for GPR81 (Rn03037047_sH) and 18S rRNA (TaqMan Endogenous Control). Standard quality controls were performed in line with the MIQE Guidelines (Bustin et al., 2009). Expression level of GPR81 mRNA was calculated as gene expression ratio (GPR81 mRNA/18S rRNA) according to the equation: ${\mathit{E}}_{\mathrm{18}\mathit{S}\mathit{r}\mathit{R}\mathit{N}\mathit{A}}^{\mathit{C}\mathit{t}\mathrm{,}\mathrm{18}\mathit{S}\mathit{r}\mathit{R}\mathit{N}\mathit{A}}\mathrm{/}{\mathit{E}}_{\mathit{G}\mathit{P}\mathit{R}\mathrm{81}}^{\mathit{C}\mathit{t}\mathrm{,}\mathit{G}\mathit{P}\mathit{R}\mathrm{81}}$, where E is the PCR efficiency and C_t is the threshold cycle for the reference (18S rRNA) or the target (GPR81) gene (Ruijter et al., 2009; Tuomi et al., 2010). PCR efficiency was estimated using the LinRegPCR program (Ruijter et al., 2009; Tuomi et al., 2010).

Statistical Analysis

Single-exponential increase to maximum functions [F = F₀ + c × (1 - exp(-t/τ))] were fitted to the diagrams with FRET ratio signals using SigmaPlot. The time constant (τ) and the FRET ratio signal amplitudes (c) were determined from the fitted curves. F is the FRET ratio signal at time t, F₀ is the baseline FRET ratio signal, c is FRET ratio signal amplitude of F -F₀, and τ is the time constant of the individual exponential component. In some experiments, the initial rate of the FRET signal increase (ΔFRET/Δtime) after the addition of various reagents was calculated as the slope of the linear regression function [ΔFRET (%) = slope (%/min) × Δtime (min)] fitting the initial FRET signal decrease or increase. In these experiments, the amplitude of the ΔFRET (%) was determined by subtracting the mean FRET ratio signal of the first 100 s from the last 100 s upon stimulation or vice versa, if the FRET signal increased.

The average traces of the predominant responses are presented in the figures for individual stimuli; all other responses are listed in Table 1. Unless stated otherwise, the Student’s t-test was performed to determine statistical significance. P < 0.05 was considered to be significant.

TABLE 1

TABLE 1. Responsiveness of astrocytes to adrenergic and L-lactate receptor activation.

Results

We studied here how extracellular L-lactate and agonists of the L-lactate GPR81 receptor affect cAMP signaling and changes in the intracellular levels of metabolites in isolated astrocytes, which can express the GPR81 receptor (Lauritzen et al., 2014; Sharma et al., 2015) and mRNA for GPR81 can be measured in these cells (Supplementary Figure S1). Real-time FRET imaging of cultured cortical astrocytes, expressing FRET-nanosensors for cAMP, glucose, and lactate was performed.

Extracellular L-Lactate and GPR81 Lactate Receptor Agonists Increase [cAMP]_i in Astrocytes

We performed real-time monitoring of [cAMP]_i while extracellular L-lactate or the GPR81 lactate receptor agonist 3Cl-5OH-BA (Dvorak et al., 2012; Liu et al., 2012) were applied. Using the FRET-nanosensor for cAMP Epac1-camps, in 7 (37%) out of 19 cells an increase in [cAMP]_i was measured when a high concentration of L-lactate (20 mM) was applied (Figure 1A). Decreased [cAMP]_i was measured only in 3 (16%) cells out of 19 (Table 1). Although GPR81 receptor in adipocytes is coupled to G_i-proteins decreasing [cAMP]_i (Ahmed et al., 2010), the observed L-lactate-mediated elevation in [cAMP]_i in 37% of cells studied might be due to the activation of a G_s-protein coupled to L-lactate GPR81 receptor, as a similar rise in [cAMP]_i was recorded in astrocytes by adding the selective GPR81 receptor agonist 3Cl-5OH-BA (0.5 mM, Figure 1B); 9 (43%) of 21 cells responded with an increase (Figure 1B) and 2 (10%) with a small decrease in [cAMP]_i (Table 1). Inhibition of AC activity by 100 μM DDA (Vardjan et al., 2014) reduced the 20 mM extracellular L-lactate-induced increase in [cAMP]_i by ∼50 % (Figure 3A), indicating that in the majority of astrocytes, extracellular L-lactate activates the cAMP pathways via binding to receptors that activate AC.

FIGURE 1

FIGURE 1. Application of L-lactate and 3Cl-5OH-BA increases [cAMP]_i and the intracellular PKA activity in rat astrocytes. (A,B) Representative (above) and mean time-course (below) of the Epac1-camps FRET ratio signal upon the addition of (A) L-lactate (20 mM) and (B) 3Cl-5OH-BA (0.5 mM), a selective agonist of the GPR81 receptor. Data are expressed as percentages of the inverse FRET ratio signal (CFP/YFP) relative to the baseline values. Single exponential rise functions were fitted to the curves: (A, above) FRET ratio = [0.98 ± 0.01] + [0.06 ± 0.01] × (1 – exp(–t/[25.00 ± 5.63 s])), (A, below) FRET ratio = [1.00 ± 0.00] + [0.05 ± 0.00] × (1 – exp(–t/[ 35.71 ± 2.55 s])), and (B, above) FRET ratio = [0.94 ± 0.00] + [0.06 ± 0.01] × (1 – exp(–t/[41.49 ± 5.85 s])), (B, below) FRET ratio = [1.00 ± 0.00] + [0.07 ± 0.00] × (1 – exp(t/[66.67 ± 4.42 s])). Note that the addition of L-lactate and 3Cl-5OH-BA increased the FRET ratios, indicating increases in [cAMP]_i. Each data point represents the mean ± s.e.m. (C) Mean changes in the FRET ratio (ΔFRET ratio) and mean time-constants (τ) upon L-lactate and 3Cl-5OH-BA stimulation. Changes in FRET ratio are expressed as percentages relative to the initial values. The numbers by the bars depict the number of cells analyzed. Data are shown as the means ± s.e.m. (D,E) Representative (above) and mean time-course (below) of the AKAR2 FRET ratio signal upon addition of (D) L-lactate (20 mM) and (E) 3Cl-5OH-BA (0.5 mM). Data are expressed as percentages of the FRET ratio signals (YFP/CFP) relative to the baseline ratio values. Single exponential rise functions were fitted to the curves: (A, above) FRET ratio = [1.01 ± 0.00] + [0.10 ± 0.00] × (1 – exp(–t/[90.91 ± 8.26 s])), (A, below) FRET ratio = [1.00 ± 0.00] + [0.08 ± 0.00] × (1 – exp(–t/[111.11 ± 9.91 s])), and (B, above) FRET ratio = [0.97 ± 0.01] + [0.10 ± 0.01] × (1 – exp(–t/[47.62 ± 4.54 s])), (B, below) FRET ratio = [0.98 ± 0.00] + [0.12 ± 0.00] × (1 – exp(–t/[71.43 ± 5.10 s])). Note that the addition of L-lactate and 3Cl-5OH-BA increased the FRET ratios, indicating increased PKA activity. Each data point represents the mean ± s.e.m. (F) Mean changes in the FRET ratio (ΔFRET ratio) and mean time-constants (τ) upon L-lactate and 3Cl-5OH-BA stimulation. The numbers by the bars depict the number of cells analyzed. Data shown are in the format of the mean ± s.e.m. Data for every set of experiment was acquired from at least two different animals.

To verify whether the 3Cl-5OH-BA-induced increase in [cAMP]_i is mediated via the GPR81 lactate receptor, we used isolated astrocytes from the GPR81 KO mice (Ahmed et al., 2010). Interestingly, even in GPR81 KO astrocytes, the application of 3Cl-5OH-BA (0.5 mM), like in WT astrocytes, elicited an increase in [cAMP]_i (Figure 2 and Table 1). Similar results were obtained by using a much higher affinity GPR81 receptor agonist Compound 2 (Sakurai et al., 2014; histograms in Figures 2C,D; Table 1), suggesting that these agonists activate in astrocytes a second, yet unidentified receptor-like mechanism, thus resembling the unidentified L-lactate receptor in neurons, coupled to G_s-protein increasing the production of cAMP (Tang et al., 2014).

FIGURE 2

FIGURE 2. Stimulation with 3Cl-5OH-BA and Compound 2 elicits persistent increase in [cAMP]_i in WT and GPR81 KO mice astrocytes expressing the FRET nanosensor Epac1-camps. (A,B) Mean normalized time-courses of the Epac1-camps FRET ratio signal after stimulation with 3Cl-5OH-BA (0.5 mM) in (A) WT (n = 16) and (B) GPR81 KO (n = 15) cultured mouse astrocytes at t = 100 s (black lines). Changes in the FRET ratio signal are expressed as percentages of the inverse FRET ratio signal (CFP/YFP) relative to the baseline values. The monophasic exponential increase in the FRET signal (represented by the CFP/YFP ratio) after 3Cl-5OH-BA stimulation reflects an increase in [cAMP]_i. Each data point represents mean ± s.e.m. (C,D) Mean changes in the Epac1-camps FRET ratio signal (ΔFRET; C) and initial rates of the FRET ratio signal increase (ΔFRET/Δt; D) after the addition of 3Cl-5OH-BA (black bars) and Compound 2 (gray bars) in WT and GPR81 KO astrocytes. Numbers by the error bars depict the number of cells analyzed. (^∗P < 0.05; Mann Whitney U test) Data for every set of experiment was acquired from at least two different animals except for Compound 2.

To see if L-lactate and GPR81 agonist 3Cl-5OH-BA target the same, yet unidentified receptor-like mechanism, sharing the binding on the receptor, we pretreated rat astrocytes with the sub-effective dose of GPR81 receptor agonist 3Cl-5OH-BA (50 μM). The application of 50 μM 3Cl-5OH-BA is ineffective in increasing [cAMP]_i in astrocytes, since the application of 3Cl-5OH-BA results in a FRET ratio signal change (1.63 ± 0.38 %, n = 13), not significantly different to the vehicle-induced response in controls (1.01 ± 0.46 %, n = 13, P = 0.31). However, the sub-effective dose of 3Cl-5OH-BA (50 μM) reduced the L-lactate-induced elevation in [cAMP]_i (Supplementary Figure S4), indicating that in addition to interacting with the GPR81 lactate receptor, this supposedly selective GPR81 receptor agonist (Dvorak et al., 2012), binds like L-lactate to the yet unidentified receptor in astrocytes.

Furthermore, to evaluate whether the L-lactate receptor-like mechanism elevates [cAMP]_i and consequently also activates the cAMP-effector protein kinase A (PKA) we used the AKAR2, PKA activation nanosensor (Zhang et al., 2005). Significant increase in PKA activity was recorded (Figures 1D,E) when astrocytes were exposed to 20 mM L-lactate in 57% of 14 cells or to 0.5 mM 3Cl-5OH-BA in 56% of 16 cells (Table 1). The differences in the responsiveness of cells between Epac1-camps and AKAR2 nanosensors (∼40% vs. ∼60%, respectively) may be due to a higher sensitivity of the AKAR2 nanosensor, since Epac1-camps can only detect [cAMP]_i that is >100 nM (Börner et al., 2011). No changes in PKA activity were observed, when a 10-fold lower concentration of L-lactate (2 mM) was applied to cells (Supplementary Figure S5). The time-course and the extent of increase in the PKA activity were similar for both types of stimuli, L-lactate and 3Cl-5OH-BA (Figure 1F). We observed a delay between the addition of L-lactate or 3Cl-5OH-BA and subsequent increase in AKAR2 FRET ratio signal, determined from the intersection of the reference baseline with the exponential curve (time of delay was 35 ± 7 s (20 mM L-lactate) vs. 49 ± 7 s (0.5 mM 3Cl-5OH-BA); P = 0.19), consistent with PKA activation occurring downstream of cAMP production.

The observation that a 10-fold lower concentrations of 3Cl-5OH-BA (50 μM vs. 500 μM) and L-lactate (2 mM vs. 20 mM) does not affect cAMP levels and PKA activity in astrocytes, respectively, indicates that astrocytes respond to extracellular 3Cl-5OH-BA and L-lactate in a concentration-dependent manner, further suggesting that these two agonists in astrocytes cause a rise in cAMP via activation of an excitatory receptor-like mechanism in the plasma membrane.

Extracellular L-Lactate and GPR81 Receptor Agonist Trigger Similar Increases in [lactate]_i in Astrocytes and Cancer Cells as Adrenergic Stimulation via Adenylate Cyclase Activation

Brain-based aerobic glycolysis (Goyal et al., 2014) is upregulated by noradrenergic stimuli affecting astrocyte metabolism (Dienel and Cruz, 2016). It has been reported that AR stimulation elevates astrocytic [cAMP]_i (Vardjan et al., 2014; Horvat et al., 2016) and also intracellular concentration in free glucose ([glucose]_i; Prebil et al., 2011). We show here using lactate FRET nanosensor Laconic (San Martin et al., 2013) that astrocytes respond to AR activation also with an increase in intracellular L-lactate (Supplementary Figure S2) from its basal to the new steady state levels.

Although we have observed that in all studied astrocytes exposed to ISO (n = 8) and NA (n = 16) the [cAMP]_i increased, the elevations in [glucose]_i were only rarely observed, when cells were treated with selective β-AR agonist ISO [5 (16%) of the 31 cells]. The percentage of responsive cells, however, increased by twofold, when cells were exposed to NA, nonselective AR agonist [8 (40%) of the 20 cells; Table 1] and when cells were treated with selective α₁-AR agonist (data not shown), implying the role of Ca²⁺ in the elevation of [glucose]_i. In contrast to measurements of [glucose]_i, the majority of astrocytes (63%) responded to ISO application with an elevation in [lactate]_i (10 out of 16 cells); 89% of astrocytes (8 out of 9 cells) responded with enhanced [lactate]_i to stimulation by NA (Supplementary Figure S2C, Table 1). The time-course of the measured [cAMP]_i increase was faster compared to that of [glucose]_i and [lactate]_i (Supplementary Figure S3).

Since L-lactate and GPR81 agonist 3Cl-5OH-BA (Figure 1), like β-AR agonists (Supplementary Figure S2; Vardjan et al., 2014; Horvat et al., 2016) increase [cAMP]_i and PKA activity in astrocytes, we further examined whether extracellular L-lactate or the GPR81 agonist 3Cl-5OH-BA affect [glucose]_i and [lactate]_i in astrocytes. Figure 4 shows that both extracellular L-lactate (20 mM) and 3Cl-5OH-BA (0.5 mM) decreased [glucose]_i in the majority of studied cells. In the former case, the decrease was transient (65% of 20 cells responded), but the change was persistent in the latter case, where 68% of 19 cells responded. Interestingly, these treatments elevated [lactate]_i in 93% of 15 cells (L-lactate) and in all 14 (100%) cells in case of 3Cl-5OH-BA (Figures 3B (left panel), 5). The increase in [lactate]_i was faster when the cells were exposed to extracellular L-lactate than 3Cl-5OH-BA, likely due to the entry of L-lactate into the cytosol through the plasma membrane MCTs. The extent of [lactate]_i elevation was more than twofold higher upon the addition of L-lactate vs. 3Cl-5OH-BA (Figure 5C), which was expected due to L-lactate entry into the cytoplasm via the MCTs and possibly channels (Sotelo-Hitschfeld et al., 2015).

FIGURE 3

FIGURE 3. Inhibition of AC reduces the L-lactate- and 3Cl-5OH-BA-induced increase in [cAMP]_i and [lactate]_i (A,B, panels i) Mean time-courses of FRET ratio signal changes normalized to the maximum signal change for (A,i) Epac1-camps upon addition of 20 mM L-lactate and (B,i) Laconic upon addition of 0.5 mM 3Cl-5OH-BA (black lines) in the absence (white circles) and presence (black circles) of 100 μM DDA, an inhibitor of AC. Each data point represents mean ± s.e.m. (A,B, panels ii) Mean relative changes in FRET ratio (Rel. ΔFRET ratio) upon L-lactate (A) and (B) 3Cl-5OH-BA stimulation in the absence and presence of DDA. Relative ΔFRET values (%) were calculated by dividing individual ΔFRET values with the average ΔFRET value upon L-lactate or 3Cl-5OH-BA stimulation. Note that the inhibition of AC by DDA causes ∼50 % reduction in L-lactate-induced increase in [cAMP]_i in astrocytes and a ∼30–60% reduction in 3Cl-5OH-BA-induced increase in [lactate]_i in astrocytes, 3T3-L1 and BT474 cells. In BT474 cells the application of 3Cl-5OH-BA initiated a transient reduction in [lactate]_i that was diminished in the presence of DDA. Numbers adjacent to black bars represent number of cells. Data are in the format of the mean ± s.e.m (^∗P < 0.05, ^∗∗P < 0.01, ^∗∗∗P < 0.001). Data for every set of experiment was acquired from at least two different animals.

FIGURE 4

FIGURE 4. Application of L-lactate and 3Cl-5OH-BA decreases [glucose]_i in astrocytes. (A,B) Representative (above) and mean time-course (below) of FLII¹²Pglu-700 μδ6 FRET ratio signal, reporting [glucose]_i, upon the addition of (A) L-lactate (20 mM) and (B) 3Cl-5OH-BA (0.5 mM). Data are expressed as the percentages of the FRET ratio signals (EYFP/ECFP) relative to the baseline ratio values. The initial rate of change in [glucose]_i was determined by fitting the regression lines to the signal decreases; ΔFRET (%) = –k (%/min) × Δt (min), where t is the time and the k–slope is the initial ΔFRET decline: k_(A,above) = 4.94 ± 0.28 %/min, k_(A,below) = 2.90 ± 0.36 %/min, and k_(B,above) = 2.32 ± 0.29 %/min, k_(B,below) = 1.05 ± 0.11 %/min. Note that the addition of L-lactate transiently decreased the FRET ratio, while the 3Cl-5OH-BA persistently decreased the FRET ratio. Each data point represents the mean ± s.e.m. (C) Mean changes in the FRET ratio (ΔFRET ratio; left) and initial rates in the FRET ratio decrease (ΔFRET/Δt; right) upon L-lactate and 3Cl-5OH-BA stimulation. Numbers adjacent to the bars depict the number of cells analyzed. Data shown are in the format of the mean ± s.e.m (^∗P < 0.05, ^∗∗∗P < 0.001). Data for every set of experiment was acquired from at least two different animals.

FIGURE 5

FIGURE 5. Comparison of increases in [lactate]_i by extracellular L-lactate and 3Cl-5OH-BA in astrocytes. (A,B) Representative (above) and mean time-course (below) of the Laconic FRET ratio signal upon the addition of (A) L-lactate (20 mM) and (B) 3Cl-5OH-BA (0.5 mM). Data are expressed as the percentages of FRET ratio signals (mTFP/Venus) relative to the baseline ratio values. Single exponential rise functions were fitted to the curves: (A, above) FRET ratio = [0.81 ± 0.02] + [0.44 ± 0.02] × (1 – exp (–t/[18.80 ± 1.10 s])), (A, below) FRET ratio = [1.02 ± 0.01] + [0.24 ± 0.01] × (1 – exp(–t / [39.06 ± 2.44 s])), and (B, above) FRET ratio = [1.00 ± 0.00] + [0.06 ± 0.00] × (1 – exp(–t/[116.28 ± 14.87 s])), (B, below) FRET ratio = [0.98 ± 0.00] + [0.09 ± 0.00] × (1 – exp(–t/[54.05 ± 2.34 s])). Note that the addition of L-lactate and 3Cl-5OH-BA increased the FRET ratios, indicating an increase in [lactate]_i. Each data point represents the mean ± s.e.m. (C) Mean changes in the FRET ratio (ΔFRET ratio; left) and mean time-constants (τ; right) upon L-lactate and 3Cl-5OH-BA stimulation. Numbers by the error bars depict the number of cells analyzed. Data shown are in the format of the mean ± s.e.m (^∗∗∗P < 0.001). Data for every set of experiment was acquired from at least two different animals.

A few cells responded with a [glucose]_i increase to L-lactate or 3Cl-5OH-BA stimulation [3 (15%) and 1 (5%) cells, respectively], but no cell responded with a decrease in [lactate]_i to these stimuli.

As in the case of the cAMP-dependent PKA activity (n = 7), the addition of 2 mM L-lactate had no significant effect on [glucose]_i (n = 11; Supplementary Figure S5), further indicating that astrocytes respond to extracellular L-lactate in a concentration-dependent manner.

Taken together these results show that in astrocytes, extracellular L-lactate and 3Cl-5OH-BA trigger an elevation in [lactate]_i, likely via the cAMP-mediated activation of glucose consumption, as decreased [glucose]_i was recorded in the majority of the 3Cl-5OH-BA-treated cells. Moreover, inhibition of AC by 100 μM DDA (Vardjan et al., 2014), reduced the 3Cl-5OH-BA-induced increase in [lactate]_i in astrocytes. We have observed inhibition of 3Cl-5OH-BA-induced increase in [lactate]_i with DDA also in 3T3-L1 embryonic murine cells with genetic trait as seen in human ectodermal cancers (Leibiger et al., 2013) and in human mammary ductal carcinoma BT474 cells (Figure 3B). Both cell lines were shown to be positive for the GPR81 receptor (Liu et al., 2009; Staubert et al., 2015), indicating that AC activation by a membrane receptor is responsible for the increase in [lactate]_i in cells that exhibit aerobic glycolysis such as astrocytes and cancer cells (Supplementary Table S1).

Receptor-Regulated Increase in the Rate of Aerobic Glycolysis in Astrocytes

Aerobic glycolysis in the brain is likely mediated by astrocytes, since these cells strongly favor L-lactate as the end glycolytic product whether or not oxygen is present (Halim et al., 2010). To measure the glycolytic rate in these cells, we estimated the maximal initial rate of [lactate]_i increase in the presence of CHC (6 mM), a non-specific inhibitor of membrane MCTs (MCTs 1-4). In the absence of L-lactate exchange through the plasma membrane, the predominant pathway available for cytosolic L-lactate accumulation is considered to be glycolytic L-lactate production. Although cytosolic L-lactate may be transported to mitochondria for oxidation in astrocytes (Passarella et al., 2008), in the presence of MCT blockers the initial rate of cytosolic L-lactate accumulation, measured as ΔFRET/Δt, is comparable to that of the initial rate of aerobic glycolysis. Figure 6A, ii shows that upon the addition of CHC, the initial maximal rate of the [lactate]_i increase was 3.2 ± 0.6 %/min (P < 0.001), which was consistent with previous results (Sotelo-Hitschfeld et al., 2015). It appears that this effect is not an artifact, as vehicle addition did not affect the [lactate]_i (Figure 6B; P = 0.18). With the addition of 3Cl-5OH-BA (0.5 mM), the rate of [lactate]_i increase was approximately twofold higher than the resting rate of glycolysis. NA (200 μM) appeared as a weaker stimulus of [lactate]_i increase in comparison to 3Cl-5OH-BA (0.5 mM) (Figure 6B) at the concentrations of respective agonists used. The strongest effect on the measured rate in the [lactate]_i increase was recorded when extracellular L-lactate (20 mM) was applied. This was expected, as L-lactate can enter the cytoplasm via the MCTs. Consistent with this finding, when L-lactate was added in the presence of the MCT blocker CHC, the increase in [lactate]_i was strongly attenuated in comparison to the conditions in the absence of CHC (data not shown).

FIGURE 6

FIGURE 6. The resting rate of glycolysis and lactate production is modulated by noradrenaline and 3Cl-5OH-BA in astrocytes. (A) Representative (i) and mean (ii) time-course of Laconic FRET ratio signal upon addition of 6 mM CHC. Data are expressed as the percentage of the FRET ratio signal (mTFP/Venus) relative to the baseline ratio values. Note that the increased FRET ratio indicates an increase in [lactate]_i. Each data point in (ii) represents mean ± s.e.m. The initial rate of change in [lactate]_i was determined by fitting the regression lines to the initial rise of the curves. The regression line in (ii) has the form of:ΔFRET (%) = k (%/min) × Δt (min) + ΔFRET₀, where t is time, ΔFRET₀ is ΔFRET at the time of stimulus, and the k-slope is the initial ΔFRET rise: k = 3.2 ± 0.6 %/min. (B) Comparison of mean maximal initial rates in FRET ratio changes (ΔFRET/Δt) upon the addition of NA (200 μM), L-lactate (20 mM), 3Cl-5OH-BA (0.5 mM), CHC (6 mM), and vehicle (control) in astrocytes. Maximal initial rates are expressed as percent change of FRET ratio per minute. Numbers by the error bars depict the number of cells analyzed. ^∗∗∗P < 0.001 one-way ANOVA comparison between different types of stimuli; ^##P < 0.01, ^###P < 0.001 one-sample t-test. Data for every set of experiment was acquired from at least two different animals.

Taken together, the results indicate that in astrocytes, extracellular L-lactate mediates an increase in [cAMP]_i that stimulates aerobic glycolysis and elevates [lactate]_i via a receptor-mediated pathway involving AC.

Discussion

Here we studied whether extracellular L-lactate affects aerobic glycolysis via G-protein coupled L-lactate receptors, such as the GPR81 receptor in astrocytes (Lauritzen et al., 2014; Sharma et al., 2015). The main finding of this study is that extracellular L-lactate in astrocytes activates AC, elevates [cAMP]_i, and accelerates aerobic glycolysis. Interestingly, by using the selective agonists for the GPR81 receptor, such as 3Cl-5OH-BA (Dvorak et al., 2012; Liu et al., 2012) or Compound 2 (Sakurai et al., 2014), the results revealed that even in the absence of the GPR81 receptor expression in astrocytes from GPR81 KO mice, elevations in [cAMP]_i were still recorded, indicating that in addition to the GPR81 receptors, these agonists activate also a yet unidentified L-lactate receptor-like mechanism.

L-Lactate and Adrenergic Receptor Stimulation Increases [lactate]_i in Astrocytes

Genes associated with aerobic glycolysis are mainly expressed in neocortical areas where neuronal cell plasticity is taking place (Goyal et al., 2014). In these areas, astrocytes are considered the primary site of aerobic glycolysis, and the primary source of L-lactate release. The results of this study demonstrate that the activation of astrocytic receptors by extracellular L-lactate (20 mM) or the GPR81 lactate receptor agonist 3Cl-5OH-BA (0.5 mM) (Dvorak et al., 2012) increases [lactate]_i within 1 min to a relatively high and stable level.

If the L-lactate-mediated increase in [cAMP]_i is present in vivo it may contribute to the maintenance of the L-lactate gradient between astrocytes and neurons (Mächler et al., 2016) and also the gradient between the extracellular L-lactate in the brain and in the plasma (Abi-Saab et al., 2002). A positive feedback mechanism involving L-lactate as an extracellular signal that controls L-lactate production and subsequent L-lactate release from astrocytes (Figure 7) may be important during neuronal activity, when [lactate]_i may rapidly decline in astrocytes due to its facilitated exit through lactate MCTs and putative ion channels (Sotelo-Hitschfeld et al., 2015) and/or its diffusion through the gap junctions in astroglial syncytia (Hertz et al., 2014). Thus, in the absence of a positive feedback mechanism, the L-lactate concentration gradient may dissipate, reducing the availability of L-lactate as a metabolic fuel for neurons (Barros, 2013; Mosienko et al., 2015) and thereby limiting the support for neural network activity.

FIGURE 7

FIGURE 7. Extracellular L-lactate controls cytosolic lactate synthesis via yet unidentified receptors coupled to adenylate cyclase activity and cytosolic cAMP increase in astrocytes. In the brain, L-lactate is formed in the cytoplasm of astrocytes (IN) and is released through monocarboxylate transporters (MCTs) 1,4 and/or lactate-permeable channels. Extracellularly (OUT), L-lactate can be transported to neighboring cells as a fuel. However, it can also act as a signaling molecule by binding to the L-lactate receptors of neighboring cells, stimulating adenylate cyclase activity (AC) and an increase in cAMP synthesis. Elevated cytosolic cAMP levels facilitate glycogen degradation by activating glycogen phosphorylase (GP) and glycolysis with L-lactate as the end product. In the absence of the L-lactate positive feedback mechanism (“metabolic excitability”), the L-lactate tissue concentration gradient could be dissipated, reducing the availability of L-lactate as a metabolic fuel, when local energy demands, especially in the brain, are high. This model shares similarities with the ‘autocrine lactate loop’ acting (oppositely) on [cAMP]_i through GPR81 receptor in adipocytes (Ahmed et al., 2010). GS, glycogen synthase; TCA, tricarboxylic acid cycle. Glucose denotes phosphorylated and free glucose.

Experiments in slices have revealed that optical activation of astrocytes in LC triggers the release of L-lactate from astrocytes, which then excites LC neurons and triggers the widespread release of NA, likely in a receptor-dependent manner involving AC and PKA activation (Tang et al., 2014). It has been proposed that astrocytes also release L-lactate at the axonal varicosities of the noradrenergic neurons, where it facilitates the release of NA from the varicosities (Tang et al., 2014). However, whether NA released from the LC neurons affects astrocyte L-lactate production has not been studied directly.

The real-time [lactate]_i monitoring in this study revealed that AR activation by NA can elicit a sustained increase in [lactate]_i in astrocytes, with an average time constant of ∼100 s (Supplementary Figure S2). The increase in [lactate]_i is predominantly a consequence of increased L-lactate production in aerobic glycolysis, although changes in L-lactate fluxes across the plasma membrane or astrocytic consumption of L-lactate in oxidative metabolic pathway could also partly contribute to the new L-lactate steady state levels (San Martin et al., 2013).

The increased [lactate]_i likely leads to L-lactate exiting astrocytes, which, in vivo, may back-excite LC neurons and further stimulate NA release (Tang et al., 2014). Such bidirectional communication between astrocytes and neurons may be part of a tissue-coordinated astrocyte activity, which can be studied by monitoring widespread LC-mediated Ca²⁺ signaling in astrocytes in awake-behaving mice in vivo (Ding et al., 2013; Paukert et al., 2014). Consistent with this possibility, cultured primary cortical neurons respond to extracellular L-lactate and the GPR81 lactate receptor agonists with a decrease in spontaneous Ca²⁺-spiking activity that is concentration-dependent, with 50% inhibitory concentration (IC₅₀) of ∼4 mM L-lactate (Bozzo et al., 2013), which is close to the sensitivity of the GPR81 receptor for L-lactate (Liu et al., 2012).

Extracellular L-Lactate-Induced Increase in [lactate]_i Involves Receptor-Like Mediated Adenylate Cyclase Activation and cAMP Production

In astrocytes, similar to the activation of β-ARs (Vardjan et al., 2014; Horvat et al., 2016), extracellular L-lactate (20 mM) and GPR81 lactate receptor agonist 3Cl-5OH-BA (0.5 mM) elevate [cAMP]_i (Figures 1A,B), as independently confirmed by monitoring the increase in activity of cAMP effector PKA (Figures 1D,E), but do not elevate [Ca²⁺]_i (data not shown). Thus, extracellular L-lactate in astrocytes likely stimulates a plasma membrane L-lactate sensitive receptor, such as the recently identified GPR81 receptor in brain astrocytes, which was linked to downregulation of cAMP synthesis (Lauritzen et al., 2014). To exclude the possibility that the addition of extracellular L-lactate acidifies the cytoplasm, thus affecting the fluorescence of fluorophores in a FRET nanosensor, especially the fluorescence of YFP (Patterson et al., 2001), which declines with acidification, producing an artifact that can be read as an increase in cAMP, we used two different types of FRET nanosensors to monitor cAMP activity; Epac1-camps (Nikolaev et al., 2004), and AKAR2 (Zhang et al., 2005), which report cAMP activity in opposite directions, as decrease and increase in YFP/CFP ratio, respectively. While in Epac1-camps transfected cells the L-lactate application induced a reduction in the YFP/CFP ratio, AKAR2-transfected cells responded to L-lactate with the increase in YFP/CFP ratio. Since the readouts from the Epac1-camps and AKAR2 YFP/CFP signals are in opposite directions it is highly unlikely that the observed YFP/CFP responses are due to acidification of the cytoplasm and not a consequence of cAMP activity. Furthermore, if the responses in cAMP and PKA activity would simply be due to a pH-dependent artifact, then we would have recorded signals that would be in phase with the application of L-lactate. This was not the case. As the PKA response was significantly delayed, it is more likely that delayed PKA activity is due to an elevation of cAMP, followed by the cAMP-mediated activation of PKA.

Interestingly, in both mouse WT and GPR81 KO astrocytes an increase in [cAMP]_i was detected (Table 1), suggesting that the observed effects of L-lactate and 3Cl-5OH-BA on cAMP signaling and metabolism in astrocytes are GPR81 independent. These results indicate the existence of a yet unidentified receptor-like mechanism of L-lactate production, activated with L-lactate as well as with the GPR81 selective agonists, 3Cl-5OH-BA (Figure 1) and Compound 2 (Figure 2; Sakurai et al., 2014). The unidentified receptor-like mechanism exhibits a relatively low 3Cl-5OH-BA affinity (we could not observe any response using 50 μM concentration) in comparison with the GPR81 lactate receptor (EC₅₀ = 17 μM for 3Cl-5OH-BA) (Dvorak et al., 2012). Pretreatment of rat astrocytes with the 50 μM (subeffective) dose of 3Cl-5OH-BA reduced the L-lactate-induced elevations in [cAMP]_i, indicating that this GPR81 receptor agonist may share with L-lactate the binding site on a yet unidentified receptor stimulating L-lactate production in astrocytes.

The synthesis of cAMP upon receptor activation is likely achieved via activation of AC, as was suggested for LC neurons, where extracellular L-lactate has been considered to activate AC and PKA, although the receptor triggering cAMP elevation in LC neurons is unknown (Tang et al., 2014; Mosienko et al., 2015). The application of DDA, an AC inhibitor, reduced the L-lactate-mediated increase in [cAMP]_i and also the 3Cl-5OH-BA-induced increase in [lactate]_i (Figure 3). An AC-dependent activity by the 3Cl-5OH-BA-induced increase in [lactate]_i appears to be taking place also in 3T3-L1 and BT474 cells, indicating that the Warburg effect-bearing cells regulate L-lactate synthesis via receptors (Supplementary Table S1).

A 10-fold lower L-lactate concentration (2 mM) did not affect [cAMP]_i or [glucose]_i, implying a role of L-lactate receptor-like mechanism in vivo only at relatively elevated extracellular L-lactate levels, as likely takes place during exercise (Matsui et al., 2017). During abnormal conditions (e.g., hypoxia, hyperglycemia, seizures) the local resting extracellular L-lactate concentration of 0.1–2 mM in the narrow brain interstices (in humans 5 mM; Abi-Saab et al., 2002) can increase ∼10- to 20-fold to values >10 mM (Barros, 2013; Mosienko et al., 2015). Moreover, L-lactate production in the normal brain might occur in microdomains, which could create higher-than-average local concentrations (Morland et al., 2015; Mosienko et al., 2015).

In a few rat astrocytes (up to 16%, Table 1), the addition of 3Cl-5OH-BA, but not AR agonists, resulted in small sustained decreases in [cAMP]_i and PKA activity (Table 1), indicating that in these cells, L-lactate preferentially activates receptors coupled to the G_i-proteins to downregulate cAMP, i.e., the coupling originally identified for GPR81 receptor (Ahmed et al., 2010). In mouse WT and GPR81 KO astrocytes, however, the decrease in [cAMP]_i was not detected (Table 1). The observed heterogeneity in the recorded L-lactate receptor-mediated cAMP responses may be species specific and/or due to molecular and functional heterogeneity of the astrocytes (Zhang and Barres, 2010), determined by the neuron-specific circuits (Chai et al., 2017).

The time-constants of the increases in [cAMP]_i and [lactate]_i were similar (58 s vs. 60 s, respectively; P = 0.90) upon 3Cl-5OH-BA application. However, upon AR activation, the increase in [cAMP]_i was approximately fivefold faster than that for the [lactate]_i increase (20 s vs. 105 s, respectively; P < 0.001; Supplementary Figure S2). The observed difference could be due to the distinct molecular coupling mechanisms between the respective receptors and the cAMP pathway generating distinct cAMP pools inside cells (compartmentalized cAMP signaling; Pidoux and Taskén, 2010), but altogether, the results indicate that lactate production depends on cAMP and occurs downstream of cAMP synthesis.

Taken together, these results show that the activation of not only ARs but also L-lactate receptor-like mechanism can accelerate L-lactate production in astrocytes via cAMP signaling, suggesting the existence of a yet unidentified excitatory L-lactate receptor in astrocytes. These findings diverge from the previously reported results in CHO-K1 cells (Cai et al., 2008), primary cortical neurons (Bozzo et al., 2013), homogenized mouse adipose tissue slices (Ahmed et al., 2010), and rat hippocampal slices (Lauritzen et al., 2014). In these tissues L-lactate (presumably via activation of the L-lactate GPR81 receptor) was considered to inhibit cAMP and subsequent L-lactate production.

L-Lactate Receptor-Like Mechanisms Increase Intracellular L-Lactate More Potently Than Adrenergic Receptors

In astrocytes the NA-mediated glycogen breakdown and [glucose]_i increase (Prebil et al., 2011) may regulate the extent of aerobic glycolysis, a metabolic process favored in astrocytes (Gandhi et al., 2009; Barros, 2013). Intracellular [glucose]_i is (i) a function of glucose uptake from the extracellular space, (ii) is affected by glycogen degradation (Prebil et al., 2011), and (iii) involves the activity of glucose-6-phosphatase, present in astrocytes (Ghosh et al., 2005; Sharma et al., 2015), which converts glucose-6-phosphate to free glucose.

Glycogenolysis in astroglial cells is considered to be mainly regulated by β-ARs, although α₂-ARs may also enhance it (Subbarao and Hertz, 1990; Hertz et al., 2010). Consistent with this possibility, the responsiveness of astrocytes to β-AR stimulation was lower than to α-/β-AR agonist NA when [lactate]_i was measured [63% (ISO) and 90% (NA), respectively, Table 1]. Upon the addition of 3Cl-5OH-BA, in contrast to adrenergic stimulation, a sustained decrease in [glucose]_i was recorded, indicating that D-glucose is rapidly consumed upon 3Cl-5OH-BA-mediated L-lactate receptor-like mechanism of activation (Figure 4). However, extracellular L-lactate triggered only a transient decrease in D-glucose, likely due to its interference with cytoplasmic L-lactate-sensitive enzymes (Costa Leite et al., 2007).

To estimate the extent by which the ARs and L-lactate receptors modulate the rate of aerobic glycolysis, we monitored [lactate]_i at rest in the presence of blocked L-lactate membrane transport. The addition of CHC, an inhibitor of several MCTs, resulted in a persistent increase in [lactate]_i (Figure 6). If it is assumed that L-lactate cannot exit cells under these conditions, the putative L-lactate-permeable channels are inactive (Sotelo-Hitschfeld et al., 2015), and L-lactate is not substantially metabolized (Passarella et al., 2008) then the rate of change in [lactate]_i reflects the resting rate of aerobic glycolysis in astrocytes. The addition of NA accelerated the rate of glycolysis to only ∼30% of the resting rate, whereas in the presence of 3Cl-5OH-BA, the glycolytic rate was increased by >600% relative to the NA-induced response (Figure 6). Although the effectiveness of the agonists used and their affinities for respective receptors may not be easily compared, these results suggest that L-lactate via receptor-like mechanism activates glycolysis more potently vs. ARs in astrocytes.

The results of this work bring new insights that in astrocytes L-lactate receptor-like mechanisms increase the rate of aerobic glycolysis, which manifests itself in increased [lactate]_i. This metabolite can exit astrocytes to further accelerate L-lactate signaling at autocrine and paracrine sites. Hence, designating this process as “metabolic excitability” appears appropriate, as it may provide the means for maintaining a high and stable source of L-lactate levels in astrocytes, as measured in vivo (Mächler et al., 2016) and likely contributes to the difference between the brain extracellular fluid and plasma levels of L-lactate (Abi-Saab et al., 2002).

Author Contributions

NV conceived and co-directed the study, performed experiments, analyzed data, and wrote the manuscript. HHC, AH, JV, MMu, STB, KM, and SP performed experiments and analyzed data. MMa and ŠGK performed experiments. MK analyzed data. GH designed and provided custom synthesized Compound 2. LHB and JS-M provided GPR81 KO mouse pups (founder mice from SO’s lab). SO generated the GPR81 KO mouse line. RZ conceived and directed the study and wrote the manuscript. All authors read and contributed to the completion of the draft manuscript.

Funding

This study was funded by Slovenian Research Agency (P3 310, J3 4051, J3 4146, L3 3654; J3 3236, J3 6790, J3 6789, and J3 7605), the Centre of Excellence for Integrated Approaches in Chemistry and Biology of Proteins (CIPKEBIP), COST Nanomechanics of Intermediate Filament Networks (Nanonet), COST Mouse Ageing, COST CM1207 – GLISTEN, and the Research Council of Norway and the University of Oslo.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

The authors thank Drs. W. B. Frommer for providing FLII¹²Pglu-700 μδ6 (Addgene plasmid # 17866), M. Lohse for providing Epac1-camps, Roger Y. Tsien for providing AKAR2, and L. F. Barros for providing Laconic.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnmol.2018.00148/full#supplementary-material

Footnotes

1. ^www.addgene.org

References

Abi-Saab, W. M., Maggs, D. G., Jones, T., Jacob, R., Srihari, V., Thompson, J., et al. (2002). Striking differences in glucose and lactate levels between brain extracellular fluid and plasma in conscious human subjects: effects of hyperglycemia and hypoglycemia. J. Cereb. Blood Flow Metab. 22, 271–279. doi: 10.1097/00004647-200203000-00004

PubMed Abstract | CrossRef Full Text | Google Scholar

Ahmed, K., Tunaru, S., Tang, C., Muller, M., Gille, A., Sassmann, A., et al. (2010). An autocrine lactate loop mediates insulin-dependent inhibition of lipolysis through GPR81. Cell Metab. 11, 311–319. doi: 10.1016/j.cmet.2010.02.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Barros, L. F. (2013). Metabolic signaling by lactate in the brain. Trends Neurosci. 36, 396–404. doi: 10.1016/j.tins.2013.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Bergersen, L., Waerhaug, O., Helm, J., Thomas, M., Laake, P., Davies, A. J., et al. (2001). A novel postsynaptic density protein: the monocarboxylate transporter MCT2 is co-localized with delta-glutamate receptors in postsynaptic densities of parallel fiber-Purkinje cell synapses. Exp. Brain Res. 136, 523–534. doi: 10.1007/s002210000600

PubMed Abstract | CrossRef Full Text | Google Scholar

Börner, S., Schwede, F., Schlipp, A., Berisha, F., Calebiro, D., Lohse, M. J., et al. (2011). FRET measurements of intracellular cAMP concentrations and cAMP analog permeability in intact cells. Nat. Protoc. 6, 427–438. doi: 10.1038/nprot.2010.198

PubMed Abstract | CrossRef Full Text | Google Scholar

Bozzo, L., Puyal, J., and Chatton, J. Y. (2013). Lactate modulates the activity of primary cortical neurons through a receptor-mediated pathway. PLoS One 8:e71721. doi: 10.1371/journal.pone.0071721

PubMed Abstract | CrossRef Full Text | Google Scholar

Brooks, G. A. (2009). Cell-cell and intracellular lactate shuttles. J. Physiol. 587, 5591–5600. doi: 10.1113/jphysiol.2009.178350

CrossRef Full Text | Google Scholar

Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., et al. (2009). The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin. Chem. 55, 611–622. doi: 10.1373/clinchem.2008.112797

PubMed Abstract | CrossRef Full Text | Google Scholar

Cai, T. Q., Ren, N., Jin, L., Cheng, K., Kash, S., Chen, R., et al. (2008). Role of GPR81 in lactate-mediated reduction of adipose lipolysis. Biochem. Biophys. Res. Commun. 377, 987–991. doi: 10.1016/j.bbrc.2008.10.088

PubMed Abstract | CrossRef Full Text | Google Scholar

Castillo, X., Rosafio, K., Wyss, M. T., Drandarov, K., Buck, A., Pellerin, L., et al. (2015). A probable dual mode of action for both L- and D-lactate neuroprotection in cerebral ischemia. J. Cereb. Blood Flow Metab. 35, 1561–1569. doi: 10.1038/jcbfm.2015.115

PubMed Abstract | CrossRef Full Text | Google Scholar

Chai, H., Diaz-Castro, B., Shigetomi, E., Monte, E., Octeau, J. C., Yu, X., et al. (2017). Neural circuit-specialized astrocytes: transcriptomic, proteomic, morphological, and functional evidence. Neuron 95, 531–549.e9. doi: 10.1016/j.neuron.2017.06.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, X., Wang, L., Zhou, Y., Zheng, L. H., and Zhou, Z. (2005). “Kiss-and-run” glutamate secretion in cultured and freshly isolated rat hippocampal astrocytes. J. Neurosci. 25, 9236–9243. doi: 10.1523/JNEUROSCI.1640-05.2005

CrossRef Full Text | Google Scholar

Costa Leite, T., Da Silva, D., Guimarães Coelho, R., Zancan, P., and Sola-Penna, M. (2007). Lactate favours the dissociation of skeletal muscle 6-phosphofructo-1-kinase tetramers down-regulating the enzyme and muscle glycolysis. Biochem. J. 408, 123–130. doi: 10.1042/BJ20070687

PubMed Abstract | CrossRef Full Text | Google Scholar

Cowan, C. M., Shepherd, D., and Mudher, A. (2010). Insights from Drosophila models of Alzheimer’s disease. Biochem. Soc. Trans. 38, 988–992. doi: 10.1042/BST0380988

PubMed Abstract | CrossRef Full Text | Google Scholar

Dienel, G. A., and Cruz, N. F. (2016). Aerobic glycolysis during brain activation: adrenergic regulation and influence of norepinephrine on astrocytic metabolism. J. Neurochem. 138, 14–52. doi: 10.1111/jnc.13630

PubMed Abstract | CrossRef Full Text | Google Scholar

Ding, F., O’donnell, J., Thrane, A. S., Zeppenfeld, D., Kang, H., Xie, L., et al. (2013). α1-Adrenergic receptors mediate coordinated Ca2+ signaling of cortical astrocytes in awake, behaving mice. Cell Calcium 54, 387–394. doi: 10.1016/j.ceca.2013.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong, J. H., Wang, Y. J., Cui, M., Wang, X. J., Zheng, W. S., Ma, M. L., et al. (2017). Adaptive activation of a stress response pathway improves learning and memory through Gs and beta-arrestin-1-regulated lactate metabolism. Biol. Psychiatry 81, 654–670. doi: 10.1016/j.biopsych.2016.09.025

PubMed Abstract | CrossRef Full Text | Google Scholar

During, M. J., Fried, I., Leone, P., Katz, A., and Spencer, D. D. (1994). Direct measurement of extracellular lactate in the human hippocampus during spontaneous seizures. J. Neurochem. 62, 2356–2361. doi: 10.1046/j.1471-4159.1994.62062356.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Dvorak, C. A., Liu, C., Shelton, J., Kuei, C., Sutton, S. W., Lovenberg, T. W., et al. (2012). Identification of hydroxybenzoic acids as selective lactate receptor (GPR81) agonists with antilipolytic effects. ACS Med. Chem. Lett. 3, 637–639. doi: 10.1021/ml3000676

PubMed Abstract | CrossRef Full Text | Google Scholar

Gandhi, G. K., Cruz, N. F., Ball, K. K., and Dienel, G. A. (2009). Astrocytes are poised for lactate trafficking and release from activated brain and for supply of glucose to neurons. J. Neurochem. 111, 522–536. doi: 10.1111/j.1471-4159.2009.06333.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, V., Suzuki, A., Magistretti, P. J., Lengacher, S., Pollonini, G., Steinman, M. Q., et al. (2016). Astrocytic β2-adrenergic receptors mediate hippocampal long-term memory consolidation. Proc. Natl. Acad. Sci. U.S.A. 113, 8526–8531. doi: 10.1073/pnas.1605063113

PubMed Abstract | CrossRef Full Text | Google Scholar

Ghosh, A., Cheung, Y. Y., Mansfield, B. C., and Chou, J. Y. (2005). Brain contains a functional glucose-6-phosphatase complex capable of endogenous glucose production. J. Biol. Chem. 280, 11114–11119. doi: 10.1074/jbc.M410894200

PubMed Abstract | CrossRef Full Text | Google Scholar

Gordon, G., Mulligan, S., and Macvicar, B. (2007). Astrocyte control of the cerebrovasculature. Glia 55, 1214–1221. doi: 10.1002/glia.20543

PubMed Abstract | CrossRef Full Text | Google Scholar

Gordon, G. R., Choi, H. B., Rungta, R. L., Ellis-Davies, G. C., and Macvicar, B. A. (2008). Brain metabolism dictates the polarity of astrocyte control over arterioles. Nature 456, 745–749. doi: 10.1038/nature07525

PubMed Abstract | CrossRef Full Text | Google Scholar

Goyal, M. S., Hawrylycz, M., Miller, J. A., Snyder, A. Z., and Raichle, M. E. (2014). Aerobic glycolysis in the human brain is associated with development and neotenous gene expression. Cell Metab. 19, 49–57. doi: 10.1016/j.cmet.2013.11.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Halim, N. D., Mcfate, T., Mohyeldin, A., Okagaki, P., Korotchkina, L. G., Patel, M. S., et al. (2010). Phosphorylation status of pyruvate dehydrogenase distinguishes metabolic phenotypes of cultured rat brain astrocytes and neurons. Glia 58, 1168–1176. doi: 10.1002/glia.20996

PubMed Abstract | CrossRef Full Text | Google Scholar

Hertz, L., Gibbs, M. E., and Dienel, G. A. (2014). Fluxes of lactate into, from, and among gap junction-coupled astrocytes and their interaction with noradrenaline. Front. Neurosci. 8:261. doi: 10.3389/fnins.2014.00261

PubMed Abstract | CrossRef Full Text | Google Scholar

Hertz, L., Lovatt, D., Goldman, S. A., and Nedergaard, M. (2010). Adrenoceptors in brain: cellular gene expression and effects on astrocytic metabolism and [Ca(2+)]i. Neurochem. Int. 57, 411–420. doi: 10.1016/j.neuint.2010.03.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Horvat, A., Zorec, R., and Vardjan, N. (2016). Adrenergic stimulation of single rat astrocytes results in distinct temporal changes in intracellular Ca(2+) and cAMP-dependent PKA responses. Cell Calcium 59, 156–163. doi: 10.1016/j.ceca.2016.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Lauritzen, K. H., Morland, C., Puchades, M., Holm-Hansen, S., Hagelin, E. M., Lauritzen, F., et al. (2014). Lactate receptor sites link neurotransmission, neurovascular coupling, and brain energy metabolism. Cereb. Cortex 24, 2784–2795. doi: 10.1093/cercor/bht136

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, Y., Morrison, B. M., Li, Y., Lengacher, S., Farah, M. H., Hoffman, P. N., et al. (2012). Oligodendroglia metabolically support axons and contribute to neurodegeneration. Nature 487, 443–448. doi: 10.1038/nature11314

PubMed Abstract | CrossRef Full Text | Google Scholar

Leibiger, C., Kosyakova, N., Mkrtchyan, H., Glei, M., Trifonov, V., and Liehr, T. (2013). First molecular cytogenetic high resolution characterization of the NIH 3T3 cell line by murine multicolor banding. J. Histochem. Cytochem. 61, 306–312. doi: 10.1369/0022155413476868

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, C., Kuei, C., Zhu, J., Yu, J., Zhang, L., Shih, A., et al. (2012). 3,5-Dihydroxybenzoic acid, a specific agonist for hydroxycarboxylic acid 1, inhibits lipolysis in adipocytes. J. Pharmacol. Exp. Ther. 341, 794–801. doi: 10.1124/jpet.112.192799

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, C., Wu, J., Zhu, J., Kuei, C., Yu, J., Shelton, J., et al. (2009). Lactate inhibits lipolysis in fat cells through activation of an orphan G-protein-coupled receptor, GPR81. J. Biol. Chem. 284, 2811–2822. doi: 10.1074/jbc.M806409200

PubMed Abstract | CrossRef Full Text | Google Scholar

Mächler, P., Wyss, M. T., Elsayed, M., Stobart, J., Gutierrez, R., Von Faber-Castell, A., et al. (2016). In Vivo evidence for a lactate gradient from astrocytes to neurons. Cell Metab. 23, 94–102. doi: 10.1016/j.cmet.2015.10.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Matsui, T., Omuro, H., Liu, Y. F., Soya, M., Shima, T., Mcewen, B. S., et al. (2017). Astrocytic glycogen-derived lactate fuels the brain during exhaustive exercise to maintain endurance capacity. Proc. Natl. Acad. Sci. U.S.A. 114, 6358–6363. doi: 10.1073/pnas.1702739114

PubMed Abstract | CrossRef Full Text | Google Scholar

Morland, C., Andersson, K. A., Haugen, O. P., Hadzic, A., Kleppa, L., Gille, A., et al. (2017). Exercise induces cerebral VEGF and angiogenesis via the lactate receptor HCAR1. Nat. Commun. 8:15557. doi: 10.1038/ncomms15557

PubMed Abstract | CrossRef Full Text | Google Scholar

Morland, C., Lauritzen, K. H., Puchades, M., Holm-Hansen, S., Andersson, K., Gjedde, A., et al. (2015). The lactate receptor, G-protein-coupled receptor 81/hydroxycarboxylic acid receptor 1: expression and action in brain. J. Neurosci. Res. 93, 1045–1055. doi: 10.1002/jnr.23593

PubMed Abstract | CrossRef Full Text | Google Scholar

Mosienko, V., Teschemacher, A. G., and Kasparov, S. (2015). Is L-lactate a novel signaling molecule in the brain? J. Cereb. Blood Flow Metab. 35, 1069–1075. doi: 10.1038/jcbfm.2015.77

PubMed Abstract | CrossRef Full Text | Google Scholar

Nikolaev, V. O., Bünemann, M., Hein, L., Hannawacker, A., and Lohse, M. J. (2004). Novel single chain cAMP sensors for receptor-induced signal propagation. J. Biol. Chem. 279, 37215–37218. doi: 10.1074/jbc.C400302200

PubMed Abstract | CrossRef Full Text | Google Scholar

Osnes, J. B., and Hermansen, L. (1972). Acid-base balance after maximal exercise of short duration. J. Appl. Physiol. 32, 59–63. doi: 10.1152/jappl.1972.32.1.59

PubMed Abstract | CrossRef Full Text | Google Scholar

Passarella, S., De Bari, L., Valenti, D., Pizzuto, R., Paventi, G., and Atlante, A. (2008). Mitochondria and L-lactate metabolism. FEBS Lett. 582, 3569–3576. doi: 10.1016/j.febslet.2008.09.042

PubMed Abstract | CrossRef Full Text | Google Scholar

Patterson, G., Day, R. N., and Piston, D. (2001). Fluorescent protein spectra. J. Cell Sci. 114, 837–838.

Google Scholar

Paukert, M., Agarwal, A., Cha, J., Doze, V. A., Kang, J. U., and Bergles, D. E. (2014). Norepinephrine controls astroglial responsiveness to local circuit activity. Neuron 82, 1263–1270. doi: 10.1016/j.neuron.2014.04.038

PubMed Abstract | CrossRef Full Text | Google Scholar

Pidoux, G., and Taskén, K. (2010). Specificity and spatial dynamics of protein kinase A signaling organized by A-kinase-anchoring proteins. J. Mol. Endocrinol. 44, 271–284. doi: 10.1677/JME-10-0010

PubMed Abstract | CrossRef Full Text | Google Scholar

Prebil, M., Vardjan, N., Jensen, J., Zorec, R., and Kreft, M. (2011). Dynamic monitoring of cytosolic glucose in single astrocytes. Glia 59, 903–913. doi: 10.1002/glia.21161

PubMed Abstract | CrossRef Full Text | Google Scholar

Rinholm, J. E., and Bergersen, L. H. (2012). Neuroscience: the wrap that feeds neurons. Nature 487, 435–436. doi: 10.1038/487435a

PubMed Abstract | CrossRef Full Text | Google Scholar

Roland, C. L., Arumugam, T., Deng, D., Liu, S. H., Philip, B., Gomez, S., et al. (2014). Cell surface lactate receptor GPR81 is crucial for cancer cell survival. Cancer Res. 74, 5301–5310. doi: 10.1158/0008-5472.CAN-14-0319

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruijter, J. M., Ramakers, C., Hoogaars, W. M., Karlen, Y., Bakker, O., Van Den Hoff, M. J., et al. (2009). Amplification efficiency: linking baseline and bias in the analysis of quantitative PCR data. Nucleic Acids Res. 37:e45. doi: 10.1093/nar/gkp045

PubMed Abstract | CrossRef Full Text | Google Scholar

Sakurai, T., Davenport, R., Stafford, S., Grosse, J., Ogawa, K., Cameron, J., et al. (2014). Identification of a novel GPR81-selective agonist that suppresses lipolysis in mice without cutaneous flushing. Eur. J. Pharmacol. 727, 1–7. doi: 10.1016/j.ejphar.2014.01.029

PubMed Abstract | CrossRef Full Text | Google Scholar

San Martin, A., Ceballo, S., Ruminot, I., Lerchundi, R., Frommer, W. B., and Barros, L. F. (2013). A genetically encoded FRET lactate sensor and its use to detect the Warburg effect in single cancer cells. PLoS One 8:e57712. doi: 10.1371/journal.pone.0057712

PubMed Abstract | CrossRef Full Text | Google Scholar

Schwartz, J., and Wilson, D. (1992). Preparation and characterization of type 1 astrocytes cultured from adult rat cortex, cerebellum, and striatum. Glia 5, 75–80. doi: 10.1002/glia.440050111

PubMed Abstract | CrossRef Full Text | Google Scholar

Sharma, K., Schmitt, S., Bergner, C. G., Tyanova, S., Kannaiyan, N., Manrique-Hoyos, N., et al. (2015). Cell type- and brain region-resolved mouse brain proteome. Nat. Neurosci. 18, 1819–1831. doi: 10.1038/nn.4160

PubMed Abstract | CrossRef Full Text | Google Scholar

Sotelo-Hitschfeld, T., Niemeyer, M. I., Mächler, P., Ruminot, I., Lerchundi, R., Wyss, M. T., et al. (2015). Channel-mediated lactate release by K⁺-stimulated astrocytes. J. Neurosci. 35, 4168–4178. doi: 10.1523/JNEUROSCI.5036-14.2015

CrossRef Full Text | Google Scholar

Staubert, C., Broom, O. J., and Nordstrom, A. (2015). Hydroxycarboxylic acid receptors are essential for breast cancer cells to control their lipid/fatty acid metabolism. Oncotarget 6, 19706–19720. doi: 10.18632/oncotarget.3565

PubMed Abstract | CrossRef Full Text | Google Scholar

Stenovec, M., Trkov, S., Lasiè, E., Terzieva, S., Kreft, M., Rodríguez Arellano, J. J., et al. (2016). Expression of familial Alzheimer disease presenilin 1 gene attenuates vesicle traffic and reduces peptide secretion in cultured astrocytes devoid of pathologic tissue environment. Glia 64, 317–329. doi: 10.1002/glia.22931

PubMed Abstract | CrossRef Full Text | Google Scholar

Subbarao, K. V., and Hertz, L. (1990). Effect of adrenergic agonists on glycogenolysis in primary cultures of astrocytes. Brain Res. 536, 220–226. doi: 10.1016/0006-8993(90)90028-A

CrossRef Full Text | Google Scholar

Takanaga, H., Chaudhuri, B., and Frommer, W. B. (2008). GLUT1 and GLUT9 as major contributors to glucose influx in HepG2 cells identified by a high sensitivity intramolecular FRET glucose sensor. Biochim. Biophys. Acta 1778, 1091–1099. doi: 10.1016/j.bbamem.2007.11.015

PubMed Abstract | CrossRef Full Text | Google Scholar

Tang, F., Lane, S., Korsak, A., Paton, J. F., Gourine, A. V., Kasparov, S., et al. (2014). Lactate-mediated glia-neuronal signalling in the mammalian brain. Nat. Commun. 5:3284. doi: 10.1038/ncomms4284

PubMed Abstract | CrossRef Full Text | Google Scholar

Tuomi, J. M., Voorbraak, F., Jones, D. L., and Ruijter, J. M. (2010). Bias in the Cq value observed with hydrolysis probe based quantitative PCR can be corrected with the estimated PCR efficiency value. Methods 50, 313–322. doi: 10.1016/j.ymeth.2010.02.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Vander Heiden, M. G., Cantley, L. C., and Thompson, C. B. (2009). Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science 324, 1029–1033. doi: 10.1126/science.1160809

PubMed Abstract | CrossRef Full Text | Google Scholar

Vardjan, N., Kreft, M., and Zorec, R. (2014). Dynamics of β-adrenergic/cAMP signaling and morphological changes in cultured astrocytes. Glia 62, 566–579. doi: 10.1002/glia.22626

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, J., Ruchti, E., Petit, J. M., Jourdain, P., Grenningloh, G., Allaman, I., et al. (2014). Lactate promotes plasticity gene expression by potentiating NMDA signaling in neurons. Proc. Natl. Acad. Sci. U.S.A. 111, 12228–12233. doi: 10.1073/pnas.1322912111

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., Hupfeld, C. J., Taylor, S. S., Olefsky, J. M., and Tsien, R. Y. (2005). Insulin disrupts beta-adrenergic signalling to protein kinase A in adipocytes. Nature 437, 569–573. doi: 10.1038/nature04140

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., and Barres, B. A. (2010). Astrocyte heterogeneity: an underappreciated topic in neurobiology. Curr. Opin. Neurobiol. 20, 588–594. doi: 10.1016/j.conb.2010.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Y., Chen, K., Sloan, S. A., Bennett, M. L., Scholze, A. R., O’keeffe, S., et al. (2014). An RNA-sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex. J. Neurosci. 34, 11929–11947. doi: 10.1523/JNEUROSCI.1860-14.2014

PubMed Abstract | CrossRef Full Text | Google Scholar