Skip to main content
Current Therapeutic Research, Clinical and Experimental logoLink to Current Therapeutic Research, Clinical and Experimental
. 2019 Sep 10;91:25–32. doi: 10.1016/j.curtheres.2019.100566

The Effect of Glutamatergic Modulators on Extracellular Glutamate: How Does this Information Contribute to the Discovery of Novel Antidepressants?

Marcos Emilio Frizzo 1,
PMCID: PMC6911922  PMID: 31871505

Highlights

  • The complexity of glutamatergic signaling challenges glutamate modulator usage.

  • Functional biomarkers are needed to understand the MOA of glutamate modulators.

  • Evaluating drug effect on EAATs' kinetics may add to antidepressant discovery.

Keywords: Depression, Glutamate, Glutamate uptake, Ketamine, Kir4.1 channel, Riluzole

Abstract

Background

In the search for new antidepressants, clinical researchers have been using drugs that simultaneously modulate multiple targets. During preclinical and clinical trials, the glutamatergic modulators riluzole and ketamine have received particular attention. Glutamatergic agents have a modulatory effect on synaptic transmission, so they can act on both neurons and astrocytes. In addition to influencing the quantity of glutamate released, these modulators can also affect the expression, localization, and functionality of glutamate-binding sites.

Objective

This review discusses the complexity of the glutamatergic system, the ambiguity of data regarding glutamate levels in patients with depression, as well as the mechanisms of action for riluzole and ketamine, which includes their relation to the physiology of glutamatergic transmission. The principal aim is to contribute to the development of novel glutamatergic antidepressant medications whilst emphasizing the need for innovative approaches that evaluate their effects on extracellular glutamate.

Methods

Literature was obtained via PubMed by searching the term depression in combination with each of the following terms: riluzole, ketamine, and glutamate. The search was restricted to full-text articles published in English between 1985 and 2018 relating to both the modulatory mechanisms of glutamatergic-binding proteins and the antidepressant actions of these medicines. Articles about mechanisms associated with synaptic plasticity and antidepressant effects were excluded.

Results

Although experimental data relates glutamatergic signaling to the pathophysiology of major depression and bipolar disorder, the role of glutamate—as well as its extracellular concentration in patients with said disorders—is still unclear. Riluzole's antidepressant action is ascribed to its capacity to reduce glutamate levels in the synaptic cleft, and ketamine's effect has been associated with increased extracellular glutamate levels.

Conclusions

The strategy of using glutamatergic modulators as therapeutic agents requires a better understanding of the role of glutamate in the pathophysiology of depression. Gaining such understanding is a challenge because it entails evaluating different targets as well as the effects of these modulators on the kinetics of glutamate uptake. Essentially, glutamate transport is a dynamic process and, currently, it is still necessary to develop new approaches to assay glutamate in the synaptic cleft. ORCID: 0000-0002-3358-6939.

Introduction

The primary target for 7% of approved drugs is still unknown. Moreover, in the case of up to 18% of such drugs, the mechanism of action (MOA) is not fully understood. It is important to bear in mind that the effects of many drugs are mediated by more than 1 target, so identifying only 1 target may be insufficient for the determination of a drug's MOA.1 High specificity and affinity for a target have long been used for drug discovery. However, this strategy often proves unsuccessful for complex disorders such as depression. In fact, seeking single-target drugs (so-called magic bullets) for multifactorial disorders—that often relate to subtle dysfunctions—has proved costly and inefficient. Recently, a new strategy appears to be emerging in relation to the use of drugs that simultaneously modulate multiple targets.2 With several MOAs, these medicines are called dirty drugs (ie, multitarget drugs), and they are used by clinical researchers engaged in the study of depression.3

Riluzole and ketamine are among the multiple-target drugs initially used for other applications, and these are currently described as glutamatergic modulators (for a review, see Pałucha-Poniewiera3 as well as Zarate and Manji4). It is well known that, through different trophic actions, riluzole and ketamine may alter the connectivity among cells.3,4 That said, such mechanisms associated with synaptic plasticity and antidepressant effects will not be explored in this review. Instead, the focus shall be on glutamatergic binding proteins (receptors and transporters) and their modulatory mechanisms, which are, potentially, related to the antidepressant actions of these medicines. To highlight the challenges in the evaluation of new modulators, both the glutamatergic actions of riluzole and ketamine as well as the complexity of glutamate signaling will be discussed. In essence, to complement current methods of neuroimaging, it shall be argued that it is necessary to create novel technologies for evaluating extracellular glutamate and/or its transport.

The Glutamatergic System

The cellular structures of the glutamatergic synapse are complex and include axons, dendrites, and glial processes. This intricate network of both neurons and glial cells—separated by narrow and winding spaces—is known as neuropil. The glutamatergic system has several particularities that explain its highly complex functions, including large differences in the spatial distribution of glutamate, which ranges from nanomolar (synaptic cleft) to millimolar (intracellularly) (for review, see Murphy-Royal et al5), the absence of its extracellular inactivation (for review, see Danbolt6), and the similarity between its binding affinity for its receptors and transporters.7 Another characteristic of this neurotransmitter system is its heavy dependence on the activity of transporters, which can be modulated at different levels.6

Glutamatergic transmission requires fine adjustment to be maintained under physiological conditions. Such fine-tuning is challenged by the absence of an extracellular metabolism that deactivates glutamate. Consequently, the clearance of glutamate is essential to avoid the excitotoxicity that results from the overstimulation of their receptors. This neurotransmitter is removed from the synaptic cleft by astrocytes via excitatory amino acid transporters (EAATs).6 The glutamate uptake limits the temporal and spatial extent of glutamatergic transmission, which allows local modulation of signaling in the synaptic cleft.8 This activity is a high-affinity process with a massive capacity for transport and, also, as the driving force, it uses the electrochemical sodium and potassium gradients across the plasma membranes. Among the 5 subtypes of EAATs, EAAT2 (glutamate transporter 1, GLT-1) is the major isoform responsible for cerebral glutamate uptake.6

Regarding glutamate receptors, although the ionotropics include N-methyl-D-aspartate (NMDA), α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA), and kainate receptors, the metabotropics are divided into 3 groups and 8 subtypes.5,6 AMPA receptors are composed of the subunits GluR1, GluR2, GluR3, and GluR4, which are mainly responsible for the excitatory transmission in the central nervous system. The expression of these subunits seems to be an important mechanism for regulating postsynaptic responsiveness. The NMDA receptor is a tetra-heteromeric complex that is typically formed through an assembly of 2 GluN1 and 2 GluN2 (ie, GluN2A, GluN2B, GluN2C, and GluN2D) subunits. The composition of GluN2A shows quicker kinetics in relation to structures with GluN2B subunits.9,10 Concerning GluN2B-containing NMDA receptors, another difference is their cellular location; that is, they are predominantly extrasynaptic. In comparison with GluN2A-containing receptors, the presence of GluN2B subunits in NMDA endows it with a higher sensitivity to agonists as well as a decreased sensitivity to magnesium-mediated blocks (for a review, see Miller et al11).

Glutamate uptake is a dynamic process with different levels of complexity and modulation.6,12 Glutamate transporters are subject to various types of controls and regulations, such as transcription and translation,13,14 cell surface expression, stabilization,15, 16, 17, 18 and internalization.19, 20, 21, 22 This transport may be influenced by astrocyte cytoarchitecture,23 by EAATs’ surface diffusion,24 and by presynaptic neuronal activity.8 For instance, as has been shown, the expression12 and functionality8 of astrocytic EAAT can be rapidly and transiently modulated by neurons. The fact that neuronal activity is known to depolarize astrocytes25—which may reduce the glutamate uptake8—is another example of the modulatory cross-talk. This depolarization can remain restricted to microdomains because of the properties of the astrocyte membrane. It can then result in areas of astrocyte surface with distinct uptake activity.26,27 The slowing of this transport results in increased glutamate permanence in the extracellular space, which prolongs the duration of postsynaptic currents by GluN2A-containing NMDA receptors.8

The importance of cell membrane polarization for glutamate uptake is well known28 because the depolarization of astrocytes may also reduce glutamate uptake.8 Indeed, astrocytic transporters are much more effective at negative resting potentials29 and, also, they depend on channels identified as inwardly rectifying potassium channels 4.1 (Kir4.1).30, 31, 32, 33 In these channels, the current flow is increased when the astrocyte membrane shows a more negative potential. Further, Kir4.1 channels are responsible for the strongly negative resting potential that is essential to glutamate uptake.31 The reduction of the Kir4.1 channel activity evokes astrocyte depolarization, which impairs the driving force of the glutamate transporter. Consequently, both the concentration and the permanence of glutamate in the synaptic cleft can increase and potentiate the excitatory action of this neurotransmitter.29,34

Glutamatergic transmission is also partly regulated by the lateral diffusion of receptors in neurons35 and astrocytes.36 Likewise, surface trafficking of the EAAT2 (GLT-1) has an active role in modulating glutamate transmission by providing a sufficient number of transporters to compete with the receptors for released glutamate. Once again, cross-talk in the synaptic cleft seems to exert a modulatory action because the neuronal activity affects the distribution of EAAT2, increasing or reducing their surface diffusion in response to high or low activity, respectively.24 In terms of shaping synaptic transmission, the physiological role of EAAT2 surface diffusion greatly increases the complexity of glutamate modulation in the synaptic cleft.

Morphologic alterations in astrocytes as well as in the characteristics of their cell membranes are also potential targets for glutamate modulation. It has been shown that the processes of astrocytes have high mobility,37, 38, 39 and also that their movement may, over time, affect astrocytic morphology,40 which may interfere with the time course of glutamate in the synaptic cleft.5 Another important movement occurs on the astrocytes’ surface, and that is where EAAT2 diffusion varies according to the cell region and the glutamate presence.24,41 EAATs have an affinity for glutamate that is similar to glutamate receptors, which means the 2 may compete and thereby reduce the receptors’ activation.7,42 Thus, the mobility of these transporters along the astrocytic membrane may readily interfere with the permanence of glutamate in the extracellular space,5 and as a result, alter the kinetics of its transport.34

Essentially, neuron-astrocyte communication may affect glutamate clearance in the synaptic cleft, which is where astrocytes are actively involved in shaping excitatory transmission. In response to increased presynaptic neuron activity, glutamate uptake can be locally reduced in the microdomains of the astrocyte membrane.8,24 This indicates that glutamate uptake is a mechanism that dynamically controls the extracellular permanence of glutamate.8 The activity-dependent slowing of the uptake prolongs the time during which glutamate remains free in the extracellular space, and thus may potentiate the activation of glutamatergic receptors.

The events occurring in the glutamatergic synapse depend on the number of glutamate molecules released, where they are released, and both the characteristics and the density of their binding sites. Together, these conditions may determine the permanence of glutamate in this extracellular space and, thus, modulate its signaling. Glutamatergic modulators—such as ketamine and riluzole—mainly act in these complex zones of neuropils, which is where components from different cells cooperate to ensure the efficiency of synaptic transmission.

Ketamine

Ketamine is a rapid-acting antidepressant drug that modulates glutamate neurotransmission.43,44 A meta-analysis review of short-term, randomized, acute-phase trials reported an antidepressant effect of ketamine. The effect appeared within hours and lasted, postinfusion, up to 1 week.45 Furthermore, a magnetic resonance spectroscopy (MRS) study of patients with major depressive disorder described a rapid and robust ketamine-induced increase in glutamatergic compounds (glutamate and glutamine) in the medial prefrontal cortex.46 More recently, among humans, a ketamine-induced increase in the release of prefrontal glutamate has been shown.44 According to the dose used, a paradoxical effect of ketamine on glutamate neurotransmission has been described by preclinical studies. Although anesthetic doses block glutamatergic transmission,47 subanesthetic doses present a stimulatory action.48,49 Ketamine acts on several pharmacologic targets, which include, among others, receptors (eg, NMDA, AMPA, and opioid) and channels (eg, L-type voltage-dependent calcium, voltage-gated sodium, and hyperpolarization-activated cyclic nucleotide) (for a review, see Li and Vlisides50).

The rapid antidepressant action of ketamine seems to be related to its modulation of the glutamatergic system.51 This hypothesis is consistent with several studies that have reported the involvement of different glutamate receptors in ketamine's MOA.3 It is well known that ketamine binds to and antagonizes NMDA receptors, so its MOA has been related to this glutamate receptor. Ketamine is a noncompetitive and voltage-dependent blocker52 that equally blocks GluN2A- and GluN2B-containing receptors.53 Moreover, the cellular response triggered by this blocking action indicates that the NMDA receptor is tonically active.11 However, there is some conflicting evidence as to whether or not the NMDA receptor's blockade activities are a necessary condition for ketamine action3,54,55; that is, although such a blockade has been shown to induce antidepressant-like activity when triggered by other NMDA receptor antagonists (for a review, see Paul and Skolnick56). Conversely, recent data have indicated that the significant role of the NMDA receptor in ketamine's MOA is related to its GluN2B subunit.11 Ketamine suppresses the GluN2B function in cortical pyramidal neurons, enhancing the synthesis of the brain-derived neurotrophic factor, the phosphorylated mammalian target of rapamycin, and the AMPA receptor subunit GluR1 (GluA1).57

Regarding the AMPA receptor, experimental data support that its activation both maintains synaptic potentiation and is responsible for the rapid and sustained antidepressant effects of ketamine or its metabolites.3 It has been further shown that the AMPA receptor antagonism abolishes the antidepressant effect of ketamine58, 59, 60, 61, 62, 63 or its metabolites,54 whereas the agonism of this receptor may potentiate its antidepressant effect.61 The mGlu receptors also seem to be related to the rapid antidepressant effect mediated by ketamine. Some mGlu receptors’ ligands have been shown to have potential antidepressant-like effects,64,65 and what is more, they even evoke effects that seem to be involved in the MOA of ketamine.66, 67, 68

The NMDA antagonism mediated by ketamine and its influence on the excitatory synapses of the corticolimbic brain regions can be explained by 2 hypotheses. The first hypothesis is that ketamine, selectively, antagonizes NMDA receptors in cortical inhibitory interneurons, which results in an indirect excitation of the pyramidal neurons, and that is followed by an increase in the glutamatergic synapses of these cells. The second hypothesis proposes a direct antagonism of the NMDA receptors in excitatory pyramidal neurons, which are then tonically activated by extracellular glutamate and, thereby, functionally reinforce the excitatory synapses.11

Hence, the modulation of glutamatergic transmission seems to be the pivotal mechanism for the rapid antidepressant action of ketamine.51 More specifically, through inhibiting NMDA receptors located in inhibitory interneurons, ketamine induces glutamate efflux in the prefrontal cortex, initiating alterations that result in its antidepressant effects.47 Recently, several studies have reported an increase in the glutamatergic compounds evoked by ketamine in patients with depression,44,46 which reinforces the importance of glutamatergic modulators for the development of novel rapid-acting antidepressant drugs.3 However, the absence of a functional biomarker for glutamate is seen as a great barrier for tracing glutamatergic transmission and, consequently, for evaluating the MOA of ketamine and other novel potential glutamate-based antidepressants.44

Riluzole

Riluzole is a neuroprotective agent with anticonvulsant properties, and it is the only drug approved for the treatment of amyotrophic lateral sclerosis.4 Currently, it is considered a glutamatergic modulator and a promising candidate for the treatment of psychiatric disorders.4 The first glutamatergic activity attributed to riluzole was an anticonvulsant action69 that was related to the antagonism of the NMDA receptors,70 which was then followed by an inhibitory effect on glutamate release.71 After that, the effects of riluzole on the potentiation,72 membrane localization of the AMPA receptor,73 and the enhancement of glutamate uptake74, 75, 76 have also been described.

Initially, riluzole's activities were related only to neuronal mechanisms, but a stimulatory effect upon glutamate uptake has been described in astrocytes, which ascribes a novel cellular target to this drug.75 Moreover, based on its capacity for reducing glutamatergic activity, preclinical and clinical studies have suggested the application of riluzole in the treatment of mood disorders and obsessive-compulsive disorders (for a review, see Zarate et al77). Over the years, various mechanisms of action have been attributed to riluzole, and some of them have been related to its antidepressant effects. Among the mentioned mechanisms are the distinct ways of controlling extracellular glutamate as well as the regulation of neurotrophic factors.4 However, although preclinical data suggested the antidepressant effect of riluzole78, 79, 80 clinical studies produced inconclusive results.81, 82, 83, 84, 85, 86, 87

Despite riluzole's use as a neuroprotective agent, the multiple mechanisms of action ascribed to it enormously complicate the understanding of its biological effects. It has been shown that this drug acts on a variety of ion channels and elicits varied cellular effects.4,88 In essence, riluzole inhibits voltage-gated sodium channels and activates or deactivates different potassium channels. Its contrasting effects on potassium channels seem to depend on the channel subtype involved. For instance, it inhibits both delayed rectifier potassium channels—Kv1.5 and Kv3.1—in a concentration-dependent manner.88 This inhibitory effect suggests a stimulatory action of riluzole on neuron excitability because A-type potassium channels regulate the duration and frequency of the action potential.88 Another example is its inhibitory effect on Kv4.3 channels,89 which could also stimulate neuron activity because the activation of these channels limits the back-propagation of the action potential into dendrites while, at the same time, regulating membrane excitability in the hippocampus.90

What Is Known about Glutamate Levels in Depression?

The research on major depression and bipolar disorder related to glutamatergic transmission is becoming more attractive for clinical researchers, especially regarding the search for new methods of diagnosis and treatment (for a review, see Wise et al91). In an attempt to find correlations with mood disorders, there is a great deal of interest in measuring the glutamate in specific brain regions. MRS is employed to measure glutamate levels in vivo. Likewise, the discovery of a peripheral marker of cerebral glutamatergic function would be of great relevance—particularly, if it could be used in the diagnosis or treatment of mood disorders.92 Because there is growing evidence that glutamatergic signaling is involved in the pathophysiology of these disorders, many researchers have not only been describing glutamate levels in diverse brain areas of patients (for a review, see Henter et al93), but also peripherally, in their blood samples.94

Imaging studies have also been reporting both higher and lower glutamate levels in different brain areas of depressed patients.95, 96, 97 Indeed, glutamate levels have been largely investigated in unipolar depression and bipolar disorder, but the findings are divergent. Whereas glutamate levels are reduced in unipolar depression92,98 they seem to be increased in bipolar disorder.99 Nevertheless, ketamine is known to increase glutamate levels,100 and it seems to be effective in treating both disorders. Regarding bipolar depression, ketamine's effectiveness arouses curiosity because this condition already seems to be previously associated with increased levels of glutamate.92 This contrariety could be explained by the differential effectiveness of ketamine as it accords to the cerebral area studied because, although it demonstrates antidepressant effects in some cortical areas,100 it is ineffective in others.101 However, it is important to consider that, in 2 studies that recruited medication-free patients with bipolar depression, a reduction in glutamate levels was observed.92,102 Despite both studies not being statistically significant, when considered together, they could suggest that bipolar depression, in the absence of medication, could be associated with a glutamatergic hypofunction, and that additional investigations are necessary to settle this issue. If confirmed, this reduction in glutamate levels would be in accordance with the clinical efficacy of ketamine in both unipolar and bipolar depression.92

In a study carried out with medication-free patients, Wyse et al92 examined whether or not peripheral glutaminase levels would positively correlate with anterior cingulate cortex glutamate levels. The enzyme glutaminase is responsible for the conversion of glutamine to glutamate, and its peripheral levels measured in serum were correlated with cortical glutamate levels obtained through MRS. The authors reported that, irrespective of diagnosis, glutamate was reduced in the depressive state, and the results did not confirm this enzyme as a peripheral biomarker of central glutamate levels. In another investigation, a meta-analysis of 12 association studies concerning peripheral blood glutamate levels and major depressive disorder demonstrated elevated levels of glutamate in depressed patients.94 However, the sample sizes were relatively small and, in the meta-analysis, the heterogeneity among the outcomes of these studies was high.

Concerning glutamate levels associated with mood disorders, it should be considered that the complexity of glutamatergic dysfunctions goes beyond either increased or decreased glutamate levels.77 There is not a simple association between glutamate levels and mood disorders, but it seems essential to first consider which region of the brain is evaluated (for a review, see Sanacora et al97), and then exclude the effects of previous or concomitant pharmacologic therapies.92 Although it is known that different brain regions can demonstrate distinct levels of glutamate in mood disorders, it is still poorly understood whether or not the current antidepressants may affect the extracellular levels of this neurotransmitter in some way. For example, it has been shown that selective serotonin reuptake inhibitors block Kir4.1 potassium channels, depolarize astrocytes, and reduce EAAT2 activity.103 A likely consequence of this blockade would be an increase in glutamate levels in the synaptic cleft.29,34

Drug Effects on Extracellular Glutamate: Important Information for Antidepressant Development?

The discovery of new glutamatergic modulators has attracted the attention of researchers looking for potential alternative drugs, in particular for the treatment of mood disorders. However, considering the complexity of glutamatergic signaling, it is possible to predict that there will be many challenges in the development of these drugs before their application in humans. The repurposing of commercial drugs such as riluzole and ketamine is among the strategies employed in this search for new therapeutic agents for depression. Another approach is the development of bioactive molecules that act as glutamatergic modulators that should be submitted to preclinical evaluations.

Stimulators of EAATs have been suggested as potential antidepressants (for a review, see Lapidus et al104), whereas conversely, antagonism of these transporters induces depressive effects.77 Considering pharmacologic treatment, this could suggest that reducing the glutamate timecourse in the synaptic cleft would be expected in an antidepressant drug. This concept motivated the study of riluzole as an antidepressant agent. The antidepressant action of riluzole has been attributed to its capacity to reduce extracellular glutamate, inhibiting its presynaptic release and enhancing the EAAT-dependent uptake.75,76,105 That said, many researchers have been trying to understand the extremely rapid and persistent antidepressant effects of ketamine, which, in contrast to riluzole, has been potentially related to increased glutamate levels.3 Ketamine may act by inhibiting inhibitory interneurons, which are known to modulate glutamatergic hypofunction100 resulting in an increased glutamate release.92,100 Therefore, although riluzole and ketamine elicit opposite effects on extracellular glutamate levels, both are considered antidepressant agents.

The identification of a target for a glutamatergic modulator is not a trivial task, yet it is much easier than determining its actual role in glutamatergic signaling. Usually, a glutamatergic agent may act on more than 1 receptor and it may also increase or reduce the glutamate timecourse in the synaptic cleft. The consequences of alterations in glutamate clearance seem to be cerebral-region specific, and this is important because extracellular glutamate is able to modulate both its receptors and its transporters.

The activation of AMPA receptors and the elevated glutamate extracellular concentrations have both been associated with ketamine's effects.11 Antidepressant actions evoked by low doses of ketamine (subanesthetic) have significantly increased glutamate in the medial prefrontal cortex of rats as well as the anterior cingulate cortex of humans.100,106 Miller et al11 proposed that, following ketamine-mediated NMDA receptor antagonism, the activation of AMPA receptors might be necessary for the maintenance of excitatory synapses and the persistence of ketamine's antidepressant effect. In contrast to ketamine, the antidepressant effect of riluzole has been associated with lower extracellular glutamate levels. However, riluzole administration at a therapeutically relevant concentration is also associated with its effect on AMPA receptors. In these conditions, riluzole increased AMPA GluR1 and GluR2 distribution on the surface of neurons, which was also accompanied by depolarization of the membrane potential.73 Concerning the increase in AMPA and NMDA neurotransmission, despite molecular differences, the similar effect of ketamine and riluzole62,73 has been suggested as a potential common mechanism of antidepressant action that is shared by these medications.84

The paradoxical effect of ketamine acting as an antidepressant at low doses and, eventually, evoking anesthesia at higher doses, has been widely questioned. One possible explanation is that GluN2B-containing receptors submitted to tonic activation are more sensitive to low-dose antagonism and, also, are mainly extrasynaptic, which potentially makes them more accessible to exogenous antagonism.11 At higher concentrations of ketamine, synaptic NMDA receptors might be gradually blocked, leading to dissociative effects. Furthermore, even a potential blockage of other non-NMDA receptors cannot be ruled out.107, 108, 109 The blockage of GluN2B seems to be associated with an antidepressant effect, but not with an increase in extracellular glutamate.11 Indeed, this relationship is not clear because the potent antidepressant Ro 25-6981—which is a GluN2B antagonist—does not provoke an elevation of extracellular glutamate.110

Although riluzole is a potent glutamatergic modulator that acts through different MOAs, a recent double-blind clinical trial did not confirm its antidepressant action.111 One may attempt to explain this lack of effect by considering that the mechanisms ascribed to riluzole—suggesting a reduction in extracellular glutamate levels—were identified in vitro, which is where its concentrations were known and maintained under control. That said, in the studies with patients, the effective concentrations of riluzole are much more difficult to determine, and this uncertainty must, perhaps, be considered as a possible explanation for its ineffectiveness. Beyond pharmacokinetic studies that show a large variability in riluzole's clearance and its serum concentrations among individuals, food also decreases its absorption.4

The structural differences of the 2 drugs notwithstanding, a dose–dependent effect—as observed with ketamine—could also occur with riluzole. It is important to consider that a biphasic effect of riluzole on glutamate uptake, which was riluzole-concentration dependent, has previously been described in cortical astrocytes.75 Another consideration regarding riluzole doses could be whether or not this result observed in vitro would also be demonstrated in patients with depression. If higher riluzole doses reduce glutamate uptake in patients—as observed in vitro75—an increase in the timecourse of glutamate in the synaptic cleft as well as the stimulation of the glutamatergic system would be expected. Although this possibility may involve different MOAs, it could suggest similar results for ketamine and riluzole concerning glutamate levels.

Although several studies have associated the neuroprotective effect of riluzole with an extracellular glutamate reduction, evidence of its stimulatory action on glutamatergic transmission has also been reported. For instance, an unexpected effect of chronic riluzole treatment was previously observed to enhance overall glutamate metabolism in rats.112 This stimulatory effect was considered consistent with, not decreased glutamate release, but rather, increased glutamate release.112 Likewise, riluzole seemed to rapidly increase glutamate–glutamine cycling in patients with bipolar depression. This effect was more pronounced in the anterior cingulate cortex than in the parieto-occipital cortex. Although this pattern did not reach statistical significance, in terms of glutamatergic activity, it was suggested that these brain regions might respond differently to riluzole treatment.84

The nonselective action of riluzole on different ion channels88,89 may potentially affect glutamatergic transmission in different ways; for example, by modifying the resting potential of astrocytes. This possibility indicates the complexity of the still unknown effects of riluzole. One effect could be the modification of EAATs’ kinetics and, consequently, the time-course of glutamate in the synaptic cleft. As a real multitarget drug, riluzole acts on different ion channels and affects several ionic currents.88,89 Beyond acting on the neuron membrane potential, riluzole could also be, potentially, affecting the polarization of astrocytes. This possibility has not been investigated, but, if this effect is confirmed, it could explain previous results related to the effect of riluzole on glutamate uptake.75 In addition to explaining riluzole's MOA on the kinetic parameters of EAATs, the confirmation of this effect on astrocyte membrane potential would open a new field for future investigations concerning this drug. Furthermore, this could suggest that higher doses of riluzole would be necessary to evaluate its potential antidepressant action in another double-blind clinical trial.

Conclusions

Glutamatergic synapses are complex zones with glutamate binding proteins whose expression, distribution, and affinity can be rapidly modulated. As a consequence, the number and location of receptors and transporters can be dynamically altered to create microdomains in cell membranes. These areas may present particular characteristics and respond unevenly to glutamate. Therefore, identifying molecules with glutamatergic bioactivity is a challenge because not only should the evaluation of different targets be considered, but also the potential consequences upon the kinetics of glutamate uptake. An innovative technology to measure transporter activity and assess glutamate clearance could, functionally, complement data from MRS imaging. Glutamate uptake is dependent on different functional parameters, such as energetic status and membrane polarization, among others. Thus, functional information could contribute to understanding the events related to variation in glutamate levels in the synaptic cleft, which would help to clarify the participation of this neurotransmitter in patients with depression. Moreover, clinical researchers have not only noted the importance of a functional biomarker for glutamatergic transmission, but also how it would support the diagnoses and identification of potential novel antidepressants. Combined with MRS, this approach could be used for developing the concept of precision medicine for patients with depression in the future.

Acknowledgments

Acknowledgments

Funding for previous research that allowed the present study was provided by grants from the Brazilian National Research Council. The Brazilian National Research Council had no further role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the manuscript for publication.

Conflicts of interest

The author has indicated that he has no conflicts of interest regarding the content of this article.

References

  • 1.Gregori-Puigjané E., Setola V., Hert J. Identifying mechanism-of-action targets for drugs and probes. Proc Natl Acad Sci USA. 2012;109(28):11178–11183. doi: 10.1073/pnas.1204524109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Schrattenholz A., Groebe K., Soskic V. Systems biology approaches and tools for analysis of interactomes and multi-target drugs. Methods Mol Biol. 2010;662:29–58. doi: 10.1007/978-1-60761-800-3_2. [DOI] [PubMed] [Google Scholar]
  • 3.Pałucha-Poniewiera A. The role of glutamatergic modulation in the mechanism of action of ketamine, a prototype rapid-acting antidepressant drug. Pharmacol Rep. 2018;70(5):837–846. doi: 10.1016/j.pharep.2018.02.011. [DOI] [PubMed] [Google Scholar]
  • 4.Zarate C.A., Manji H.K. Riluzole in psychiatry: a systematic review of the literature. Expert Opin Drug Metab Toxicol. 2008;4(9):1223–1234. doi: 10.1517/17425255.4.9.1223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Murphy-Royal C., Dupuis J., Groc L., Oliet S.H.R. Astroglial glutamate transporters in the brain: Regulating neurotransmitter homeostasis and synaptic transmission. J Neurosci Res. 2017;95(11):2140–2151. doi: 10.1002/jnr.24029. [DOI] [PubMed] [Google Scholar]
  • 6.Danbolt N.C. Glutamate uptake. Prog Neurobiol. 2001;65:1–105. doi: 10.1016/s0301-0082(00)00067-8. [DOI] [PubMed] [Google Scholar]
  • 7.Arriza J.L., Fairman W.A., Wadiche J.I. Functional comparisons of three glutamate transporter subtypes cloned from human motor cortex. J Neurosci. 1994;14(9):5559–5569. doi: 10.1523/JNEUROSCI.14-09-05559.1994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Armbruster M., Hanson E., Dulla C.G. Glutamate clearance is locally modulated by presynaptic neuronal activity in the cerebral cortex. J Neurosci. 2016;36(40):10404–10415. doi: 10.1523/JNEUROSCI.2066-16.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Arnth-Jensen N., Jabaudon D., Scanziani M. Cooperation between independent hippocampal synapses is controlled by glutamate uptake. Nat Neurosci. 2002;5(4):325–331. doi: 10.1038/nn825. [DOI] [PubMed] [Google Scholar]
  • 10.Lozovaya N.A., Grebenyuk S.E., Tsintsadze T.S.H. Extrasynaptic NR2B and NR2D subunits of NMDA receptors shape 'superslow' afterburst EPSC in rat hippocampus. J Physiol. 2004;558(Pt2):451–463. doi: 10.1113/jphysiol.2004.063792. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Miller O.H., Moran J.T., Hall B.J. Two cellular hypotheses explaining the initiation of ketamine's antidepressant actions: Direct inhibition and disinhibition. Neuropharmacology. 2016;100:17–26. doi: 10.1016/j.neuropharm.2015.07.028. [DOI] [PubMed] [Google Scholar]
  • 12.Morel L., Regan M., Higashimori H. Neuronal exosomal miRNA-dependent translational regulation of astroglial glutamate transporter GLT1. J Biol Chem. 2013;288(10):7105–7116. doi: 10.1074/jbc.M112.410944. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Ghosh M., Yang Y., Rothstein J.D., Robinson M.B. Nuclear factor-κβ contributes to neuron-dependent induction of glutamate transporter-1 expression in astrocytes. J Neurosci. 2011;31(25):9159–9169. doi: 10.1523/JNEUROSCI.0302-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ghosh M., Lane M., Krizman E., Sattler R., Rothstein J.D., Robinson M.B. The transcription factor Pax6 contributes to the induction of GLT-1 expression in astrocytes through an interaction with a distal enhancer element. J Neurochem. 2016;136(2):262–275. doi: 10.1111/jnc.13406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Stenovec M., Kreft M., Grilc S., Pangrsic T., Zorec R. EAAT2 density at the astrocyte plasma membrane and Ca2+-regulated exocytosis. Mol Membr Biol. 2008;25(3):203–215. doi: 10.1080/09687680701790925. [DOI] [PubMed] [Google Scholar]
  • 16.Yang Y., Gozen O., Watkins A. Presynaptic regulation of astroglial excitatory neurotransmitter transporter GLT1. Neuron. 2009;61(6):880–894. doi: 10.1016/j.neuron.2009.02.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Yang Y., Gozen O., Vidensky S., Robinson M.B., Rothstein J.D. Epigenetic regulation of neuron-dependent induction of astroglial synaptic protein GLT1. Glia. 2010;58(3):277–286. doi: 10.1002/glia.20922. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Underhill S.M., Wheeler D.S., Amara S.G. Differential regulation of two isoforms of the glial glutamate transporter EAAT2 by DLG1 and CaMKII. J Neurosci. 2015;35(13):5260–5270. doi: 10.1523/JNEUROSCI.4365-14.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.González-González I.M., García-Tardón N., Giménez C., Zafra F. PKC-dependent endocytosis of the GLT1 glutamate transporter depends on ubiquitylation of lysines located in a C-terminal cluster. Glia. 2008;56(9):963–974. doi: 10.1002/glia.20670. [DOI] [PubMed] [Google Scholar]
  • 20.Sheldon A.L., González M.I., Krizman-Genda E.N. Ubiquitination-mediated internalization and degradation of the astroglial glutamate transporter, GLT-1. Neurochem Int. 2008;53(6-8):296–308. doi: 10.1016/j.neuint.2008.07.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Underhill S.M., Wheeler D.S., Li M., Watts S.D., Ingram S.L., Amara S.G. Amphetamine modulates excitatory neurotransmission through endocytosis of the glutamate transporter EAAT3 in dopamine neurons. Neuron. 2014;83(2):404–416. doi: 10.1016/j.neuron.2014.05.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Ibáñez I., Díez-Guerra F.J., Giménez C., Zafra F. Activity dependent internalization of the glutamate transporter GLT-1 mediated by β-arrestin 1 and ubiquitination. Neuropharmacology. 2016;107:376–386. doi: 10.1016/j.neuropharm.2016.03.042. [DOI] [PubMed] [Google Scholar]
  • 23.Pannasch U., Freche D., Dallérac G. Connexin 30 sets synaptic strength by controlling astroglial synapse invasion. Nat Neurosci. 2014;17:549–558. doi: 10.1038/nn.3662. [DOI] [PubMed] [Google Scholar]
  • 24.Murphy-Royal C., Dupuis J.P., Varela J.A. Surface diffusion of astrocytic glutamate transporters shapes synaptic transmission. Nat Neurosci. 2015;18(2):219–226. doi: 10.1038/nn.3901. [DOI] [PubMed] [Google Scholar]
  • 25.Meeks J.P., Mennerick S. Astrocyte membrane responses and potassium accumulation during neuronal activity. Hippocampus. 2007;17(11):1100–1108. doi: 10.1002/hipo.20344. [DOI] [PubMed] [Google Scholar]
  • 26.Ma B., Xu G., Wang W., Enyeart J.J., Zhou M. Dual patch voltage clamp study of low membrane resistance astrocytes in situ. Mol Brain. 2014;7:18. doi: 10.1186/1756-6606-7-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Ma B., Buckalew R., Du Y. Gap junction coupling confers isopotentiality on astrocyte syncytium. Glia. 2016;64(2):214–226. doi: 10.1002/glia.22924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Levy L.M., Warr O., Attwell D. Stoichiometry of the glial glutamate transporter GLT-1 expressed inducibly in a Chinese hamster ovary cell line selected for low endogenous Na+-dependent glutamate uptake. J Neurosci. 1998;18(23):9620–9628. doi: 10.1523/JNEUROSCI.18-23-09620.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kucheryavykh Y.V., Kucheryavykh L.Y., Nichols C.G. Downregulation of Kir4.1 inward rectifying potassium channel subunits by RNAi impairs potassium transfer and glutamate uptake by cultured cortical astrocytes. Glia. 2007;55:274–281. doi: 10.1002/glia.20455. [DOI] [PubMed] [Google Scholar]
  • 30.Brew H., Attwell D. Electrogenic glutamate uptake is a major current carrier in the membrane of axolotl retinal glial cells. Nature. 1987;327:707–709. doi: 10.1038/327707a0. [DOI] [PubMed] [Google Scholar]
  • 31.Barbour B., Brew H., Attwell D. Electrogenic uptake of glutamate and aspartate into glial cells isolated from the salamander (Ambystoma) retina. J Physiol. 1991;436:169–193. doi: 10.1113/jphysiol.1991.sp018545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Olsen M.L., Sontheimer H. Functional implications for Kir4.1 channels in glial biology: from K+ buffering to cell differentiation. J Neurochem. 2008;107(3):589–601. doi: 10.1111/j.1471-4159.2008.05615.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Bay V., Butt A.M. Relationship between glial potassium regulation and axon excitability: a role for glial Kir4.1 channels. Glia. 2012;60(4):651–660. doi: 10.1002/glia.22299. [DOI] [PubMed] [Google Scholar]
  • 34.Frizzo M.E. Can a selective serotonin reuptake inhibitor act as a glutamatergic modulator? Curr Ther Res Clin Exp. 2017;87:9–12. doi: 10.1016/j.curtheres.2017.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Heine M., Groc L., Frischknecht R. Surface mobility of postsynaptic AMPARs tunes synaptic transmission. Science. 2008;320(5873):201–205. doi: 10.1126/science.1152089. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Arizono M., Bannai H., Nakamura K. Receptor-selective diffusion barrier enhances sensitivity of astrocytic processes to metabotropic glutamate receptor stimulation. Sci Signal. 2012;5(218):ra27. doi: 10.1126/scisignal.2002498. [DOI] [PubMed] [Google Scholar]
  • 37.Genoud C., Quairiaux C., Steiner P. Plasticity of astrocytic coverage and glutamate transporter expression in adult mouse cortex. PLoS Biol. 2006;4(11):e343. doi: 10.1371/journal.pbio.0040343. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Ostroff L.E., Manzur M.K., Cain C.K., Ledoux J.E. Synapses lacking astrocyte appear in the amygdala during consolidation of pavlovian threat conditioning. J Comp Neurol. 2014;522(9):2152–2163. doi: 10.1002/cne.23523. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Bernardinelli Y., Randall J., Janett E. Activity-dependent structural plasticity of perisynaptic astrocytic domains promotes excitatory synapse stability. Curr Biol. 2014;24(15):1679–1688. doi: 10.1016/j.cub.2014.06.025. [DOI] [PubMed] [Google Scholar]
  • 40.Heller J.P., Rusakov D. Morphological plasticity of astroglia: understanding synaptic microenvironment. Glia. 2015;63(12):2133–2151. doi: 10.1002/glia.22821. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Al Awabdh S., Gupta-Agarwal S., Sheehan D.F. Neuronal activity mediated regulation of glutamate transporter GLT-1 surface diffusion in rat astrocytes in dissociated and slice cultures. Glia. 2016 Jul;64(7):1252–1264. doi: 10.1002/glia.22997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Huang Y.H., Bergles D.E. Glutamate transporters bring competition to the synapse. Curr Opin Neurobiol. 2004;14(3):346–352. doi: 10.1016/j.conb.2004.05.007. [DOI] [PubMed] [Google Scholar]
  • 43.Murrough J.W., Abdallah C.G., Mathew S.J. Targeting glutamate signalling in depression: progress and prospects. Nat Rev Drug Discov. 2017;16(7):472–486. doi: 10.1038/nrd.2017.16. [DOI] [PubMed] [Google Scholar]
  • 44.Abdallah C.G., De Feyter H.M., Averill L.A. The effects of ketamine on prefrontal glutamate neurotransmission in healthy and depressed subjects. Neuropsychopharmacology. 2018;43(10):2154–2160. doi: 10.1038/s41386-018-0136-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Bobo W.V., Vande Voort J.L., Croarkin P.E. Ketamine for treatment-resistant unipolar and bipolar major depression: critical review and implications for clinical practice. Depress Anxiety. 2016;33(8):698–710. doi: 10.1002/da.22505. [DOI] [PubMed] [Google Scholar]
  • 46.Milak M.S., Proper C.J., Mulhern S.T. A pilot in vivo proton magnetic resonance spectroscopy study of amino acid neurotransmitter response to ketamine treatment of major depressive disorder. Mol Psychiatry. 2016;21(3):320–327. doi: 10.1038/mp.2015.83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Moghaddam B., Adams B., Verma A., Daly D. Activation of glutamatergic neurotransmission by ketamine: a novel step in the pathway from NMDA receptor blockade to dopaminergic and cognitive disruptions associated with the prefrontal cortex. J Neurosci. 1997;17:2921–2927. doi: 10.1523/JNEUROSCI.17-08-02921.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Hare B., Ghosal S., Duman R. Rapid acting antidepressants in chronic stress models: molecular and cellular mechanisms. Chronic Stress (Thousand Oaks) 2017 Feb;1 doi: 10.1177/2470547017697317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Abdallah C.G., Adams T.G., Kelmendi B. Ketamine's mechanism of action: a path to rapid-acting antidepressants. Depress Anxiety. 2016;33(8):689–697. doi: 10.1002/da.22501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Li L., Vlisides P.E. Ketamine: 50 years of modulating the mind. Front Hum Neurosci. 2016;10:612. doi: 10.3389/fnhum.2016.00612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Chowdhury G.M., Zhang J., Thomas M. Transiently increased glutamate cycling in rat PFC is associated with rapid onset of antidepressant-like effects. Mol Psychiatry. 2017;22(1):120–126. doi: 10.1038/mp.2016.34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Kashiwagi K., Masuko T., Nguyen C.D. Channel blockers acting at N-methyl-D-aspartate receptors: differential effects of mutations in the vestibule and ion channel pore. Mol Pharmacol. 2002;61(3):533–545. doi: 10.1124/mol.61.3.533. [DOI] [PubMed] [Google Scholar]
  • 53.Kotermanski S.E., Johnson J.W. Mg2+ imparts NMDA receptor subtype selectivity to the Alzheimer's drug memantine. J Neurosci. 2009;29(9):2774–2779. doi: 10.1523/JNEUROSCI.3703-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Zanos P., Moaddel R., Morris P.J. NMDAR inhibition-independent antidepressant actions of ketamine metabolites. Nature. 2016;533(7604):481–486. doi: 10.1038/nature17998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Qu Y., Yang C., Ren Q., Ma M., Dong C., Hashimoto K. Comparison of (R)-ketamine and lanicemine on depression-like phenotype and abnormal composition of gut microbiota in a social defeat stress model. Sci Rep. 2017;7(1):15725. doi: 10.1038/s41598-017-16060-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Paul I.A., Skolnick P. Glutamate and depression: clinical and preclinical studies. Ann N Y Acad Sci. 2003 Nov;1003:250–272. doi: 10.1196/annals.1300.016. [DOI] [PubMed] [Google Scholar]
  • 57.Miller O.H., Yang L., Wang C.C. GluN2B containing NMDA receptors regulate depression-like behavior and are critical for the rapid antidepressant actions of ketamine. Elife. 2014;3:e03581. doi: 10.7554/eLife.03581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Li N., Lee B., Liu R.J. mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science. 2010;329(5994):959–964. doi: 10.1126/science.1190287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Yang C., Shirayama Y., Zhang J.C. R-ketamine: a rapid-onset and sustained antidepressant without psychotomimetic side effects. Transl Psychiatry. 2015;5:e632. doi: 10.1038/tp.2015.136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Autry A.E., Adachi M., Nosyreva E. NMDA receptor blockade at rest triggers rapid behavioural antidepressant responses. Nature. 2011;475(7354):91–95. doi: 10.1038/nature10130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Zhou W., Wang N., Yang C. Ketamine-induced antidepressant effects are associated with AMPA receptors-mediated upregulation of mTOR and BDNF in rat hippocampus and prefrontal cortex. Eur Psychiatry. 2014;29(7):419–423. doi: 10.1016/j.eurpsy.2013.10.005. [DOI] [PubMed] [Google Scholar]
  • 62.Maeng S., Zarate C.A., Jr, Du J. Cellular mechanisms underlying the antidepressant effects of ketamine: role of alpha-amino-3-hydroxy-5-methylisoxazole-4-propionic acid receptors. Biol Psychiatry. 2008;63(4):349–352. doi: 10.1016/j.biopsych.2007.05.028. [DOI] [PubMed] [Google Scholar]
  • 63.Koike H., Iijima M., Chaki S. Involvement of AMPA receptor in both the rapid and sustained antidepressant-like effects of ketamine in animal models of depression. Behav Brain Res. 2011;224(1):107–111. doi: 10.1016/j.bbr.2011.05.035. [DOI] [PubMed] [Google Scholar]
  • 64.Pałucha-Poniewiera A., Pilc A. Glutamate-based drug discovery for novel antidepressants. Expert Opin Drug Discov. 2016;11(9):873–883. doi: 10.1080/17460441.2016.1213234. [DOI] [PubMed] [Google Scholar]
  • 65.Chaki S., Ago Y., Pałucha-Poniewiera A. mGlu2/3 and mGlu5 receptors: potential targets for novel antidepressants. Neuropharmacology. 2013;66:40–52. doi: 10.1016/j.neuropharm.2012.05.022. [DOI] [PubMed] [Google Scholar]
  • 66.Koike H., Iijima M., Chaki S. Involvement of the mammalian target of rapamycin signaling in the antidepressant-like effect of group II metabotropic glutamate receptor antagonists. Neuropharmacology. 2011;61(8):1419–1423. doi: 10.1016/j.neuropharm.2011.08.034. [DOI] [PubMed] [Google Scholar]
  • 67.Dwyer J.M., Lepack A.E., Duman R.S. mTOR activation is required for the antidepressant effects of mGluR2/3 blockade. Int J Neuropsychopharmacol. 2012;15(4):429–434. doi: 10.1017/S1461145711001702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Koike H., Fukumoto K., Iijima M., Chaki S. Role of BDNF/TrkB signaling in antidepressant-like effects of a group II metabotropic glutamate receptor antagonist in animal models of depression. Behav Brain Res. 2013;238:48–52. doi: 10.1016/j.bbr.2012.10.023. [DOI] [PubMed] [Google Scholar]
  • 69.Mizoule J., Meldrum B., Mazadier M. 2-Amino-6-trifluoromethoxy benzothiazole, a possible antagonist of excitatory amino acid neurotransmission–I. Anticonvulsant properties. Neuropharmacology. 1985;24(8):767–773. doi: 10.1016/0028-3908(85)90011-5. [DOI] [PubMed] [Google Scholar]
  • 70.Serrano A., D'Angio M., Scatton B. NMDA antagonists block restraint-induced increase in extracellular DOPAC in rat nucleus accumbens. Eur J Pharmacol. 1989;162(1):157–166. doi: 10.1016/0014-2999(89)90616-x. [DOI] [PubMed] [Google Scholar]
  • 71.Pratt J., Rataud J., Bardot F. Neuroprotective actions of riluzole in rodent models of global and focal cerebral ischaemia. Neurosci Lett. 1992;140(2):225–230. doi: 10.1016/0304-3940(92)90108-j. [DOI] [PubMed] [Google Scholar]
  • 72.Du J., Quiroz J., Yuan P. Bipolar disorder: involvement of signaling cascades and AMPA receptor trafficking at synapses. Neuron Glia Biol. 2004;1(3):231–243. doi: 10.1017/S1740925X05000098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Du J., Suzuki K., Wei Y. The anticonvulsants lamotrigine, riluzole, and valproate differentially regulate AMPA receptor membrane localization: relationship to clinical effects in mood disorders. Neuropsychopharmacology. 2007;32(4):793–802. doi: 10.1038/sj.npp.1301178. [DOI] [PubMed] [Google Scholar]
  • 74.Azbill R.D., Mu X., Springer J.E. Riluzole increases high-affinity glutamate uptake in rat spinal cord synaptosomes. Brain Res. 2000;871:175–180. doi: 10.1016/s0006-8993(00)02430-6. [DOI] [PubMed] [Google Scholar]
  • 75.Frizzo M.E., Dall'Onder L.P., Dalcin K.B., Souza D.O. Riluzole enhances glutamate uptake in rat astrocyte cultures. Cell Mol Neurobiol. 2004;24(1):123–128. doi: 10.1023/B:CEMN.0000012717.37839.07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Fumagalli E., Funicello M., Rauen T. Riluzole enhances the activity of glutamate transporters GLAST, GLT1 and EAAC1. Eur J Pharmacol. 2008;578(2-3):171–176. doi: 10.1016/j.ejphar.2007.10.023. [DOI] [PubMed] [Google Scholar]
  • 77.Zarate C., Jr, Machado-Vieira R., Henter I. Glutamatergic modulators: the future of treating mood disorders? Harv Rev Psychiatry. 2010;18(5):293–303. doi: 10.3109/10673229.2010.511059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Banasr M., Chowdhury G.M., Terwilliger R. Glial pathology in an animal model of depression: reversal of stress-induced cellular, metabolic and behavioral deficits by the glutamate-modulating drug riluzole. Mol Psychiatry. 2010;15(5):501–511. doi: 10.1038/mp.2008.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Gourley S.L., Espitia J.W., Sanacora G., Taylor J.R. Antidepressant-like properties of oral riluzole and utility of incentive disengagement models of depression in mice. Psychopharmacology (Berl) 2012;219(3):805–814. doi: 10.1007/s00213-011-2403-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Takahashi K., Murasawa H., Yamaguchi K. Riluzole rapidly attenuates hyperemotional responses in olfactory bulbectomized rats, an animal model of depression. Behav Brain Res. 2011;216(1):46–52. doi: 10.1016/j.bbr.2010.07.002. [DOI] [PubMed] [Google Scholar]
  • 81.Zarate C.A., Jr, Payne J.L., Quiroz J. An open-label trial of riluzole in patients with treatment resistant major depression. Am J Psychiatry. 2004;161(1):171–174. doi: 10.1176/appi.ajp.161.1.171. [DOI] [PubMed] [Google Scholar]
  • 82.Zarate C.A., Jr, Quiroz J.A., Singh J.B. An open-label trial of the glutamate-modulating agent riluzole in combination with lithium for the treatment of bipolar depression. Biol Psychiatry. 2005;57(4):430–432. doi: 10.1016/j.biopsych.2004.11.023. [DOI] [PubMed] [Google Scholar]
  • 83.Sanacora G., Kendell S.F., Levin Y. Preliminary evidence of riluzole efficacy in antidepressant treated patients with residual depressive symptoms. Biol Psychiatry. 2007;61(6):822–825. doi: 10.1016/j.biopsych.2006.08.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Brennan B.P., Hudson J.I., Jensen J.E. Rapid enhancement of glutamatergic neurotransmission in bipolar depression following treatment with riluzole. Neuropsychopharmacology. 2010;35(3):834–846. doi: 10.1038/npp.2009.191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Niciu M.J., Luckenbaugh D.A., Ionescu D.F. Riluzole likely lacks antidepressant efficacy in ketamine non responders. J Psychiatr Res. 2014;58:197–199. doi: 10.1016/j.jpsychires.2014.07.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Niciu M.J., Luckenbaugh D.A., Ionescu D.F. Ketamine's antidepressant efficacy is extended for at least four weeks in subjects with a family history of an alcohol use disorder. Int J Neuropsychopharmacol. 2014;18(1) doi: 10.1093/ijnp/pyu039. pii: pyu039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Ibrahim L., Diazgranados N., Franco-Chaves J. Course of improvement in depressive symptoms to a single intravenous infusion of ketamine vs add-on riluzole: results from a 4-week, double-blind, placebo-controlled study. Neuropsychopharmacology. 2012;37(6):1526–1533. doi: 10.1038/npp.2011.338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Ahn H.S., Choi J.S., Choi B.H. Inhibition of the cloned delayed rectifier K+ channels, Kv1.5 and Kv3.1, by riluzole. Neuroscience. 2005;133(4):1007–1019. doi: 10.1016/j.neuroscience.2005.03.041. [DOI] [PubMed] [Google Scholar]
  • 89.Ahn H.S., Kim S.E., Jang H.-J. Interaction of Riluzole with the Closed Inactivated State of Kv4.3 Channels. J Pharmacol Exp Ther. 2006;319(1):323–331. doi: 10.1124/jpet.106.106724. [DOI] [PubMed] [Google Scholar]
  • 90.Yuan L.L., Adams J.P., Swank M., Sweatt J.D., Johnston D. Protein kinase modulation of dendritic K+ channels in hippocampus involves a mitogen-activated protein kinase pathway. J Neurosci. 2002;22:4860–4868. doi: 10.1523/JNEUROSCI.22-12-04860.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Wise T., Cleare A.J., Herane A., Young A.H., Arnone D. Diagnostic and therapeutic utility of neuroimaging in depression: an overview. Neuropsychiatr Dis Treat. 2014;10:1509–1522. doi: 10.2147/NDT.S50156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Wise T., Taylor M.J., Herane-Vives A. Glutamatergic hypofunction in medication-free major depression: secondary effects of affective diagnosis and relationship to peripheral glutaminase. J Affect Disord. 2018;234:214–219. doi: 10.1016/j.jad.2018.02.059. [DOI] [PubMed] [Google Scholar]
  • 93.Henter I.D., de Sousa R.T., Zarate C.A., Jr Glutamatergic Modulators in Depression. Harv Rev Psychiatry. 2018;26(6):307–319. doi: 10.1097/HRP.0000000000000183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Inoshita M., Umehara H., Watanabe S.Y. Elevated peripheral blood glutamate levels in major depressive disorder. Neuropsychiatr Dis Treat. 2018;14:945–953. doi: 10.2147/NDT.S159855. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Hasler G., Van Der Veen J.W., Tumonis T., Meyers N., Shen J., Drevets W.C. Reduced prefrontal glutamate/glutamine and gamma-aminobutyric acid levels in major depression determined using proton magnetic resonance spectroscopy. Arch Gen Psychiatry. 2007;64:193–200. doi: 10.1001/archpsyc.64.2.193. [DOI] [PubMed] [Google Scholar]
  • 96.Sanacora G., Gueorguieva R., Epperson C.N. Subtype-specific alterations of gamma aminobutyric acid and glutamate in patients with major depression. Arch Gen Psychiatry. 2004;61:705–713. doi: 10.1001/archpsyc.61.7.705. [DOI] [PubMed] [Google Scholar]
  • 97.Sanacora G., Zarate C.A., Krystal J.H., Manji H.K. Targeting the glutamatergic system to develop novel, improved therapeutics for mood disorders. Nat Rev Drug Discov. 2008;7(5):426–437. doi: 10.1038/nrd2462. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Arnone D., Mumuni A.N., Jauhar S., Cavanagh J. Indirect evidence of selective glial involvement in glutamate-based mechanisms of mood regulation in depression: Meta-analysis of absolute prefrontal neuro-metabolic concentrations. Eur Neuropsychopharmacol. 2015;25(8):1109–1117. doi: 10.1016/j.euroneuro.2015.04.016. [DOI] [PubMed] [Google Scholar]
  • 99.Taylor M.J. Could glutamate spectroscopy differentiate bipolar depression from unipolar? J Affect Disord. 2014;167:80–84. doi: 10.1016/j.jad.2014.05.019. [DOI] [PubMed] [Google Scholar]
  • 100.Stone J.M., Dietrich C., Edden R. Ketamine effects on brain GABA and glutamate levels with 1H-MRS: relationship to ketamine-induced psychopathology. Mol Psychiatry. 2012;17(7):664–665. doi: 10.1038/mp.2011.171. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Taylor M.J., Tiangga E.R., Mhuircheartaigh R.N., Cowen P.J. Lack of effect of ketamine on cortical glutamate and glutamine in healthy volunteers: a proton magnetic resonance spectroscopy study. J Psychopharmacol. 2012;26(5):733–737. doi: 10.1177/0269881111405359. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Xu J., Dydak U., Harezlak J. Neurochemical abnormalities in unmedicated bipolar depression and mania: A 2D 1H MRS investigation. Psychiatry Res. 2013;213(3):235–241. doi: 10.1016/j.pscychresns.2013.02.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Ohno Y., Hibino H., Lossin C., Inanobe A., Kurachi Y. Inhibition of astroglial Kir4.1 channels by selective serotonin reuptake inhibitors. Brain Res. 2007;1178:44–51. doi: 10.1016/j.brainres.2007.08.018. [DOI] [PubMed] [Google Scholar]
  • 104.Lapidus K.A., Soleimani L., Murrough J.W. Novel glutamatergic drugs for the treatment of mood disorders. Neuropsychiatr Dis Treat. 2013;9:1101–1112. doi: 10.2147/NDT.S36689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Wang S.J., Wang K.Y., Wang W.C. Mechanisms underlying the riluzole inhibition of glutamate release from rat cerebral cortex nerve terminals (synaptosomes) Neuroscience. 2004;125(1):191–201. doi: 10.1016/j.neuroscience.2004.01.019. [DOI] [PubMed] [Google Scholar]
  • 106.Chowdhury G.M., Behar K.L., Cho W. 1H-[13C]-nuclear magnetic resonance spectroscopy measures of ketamine's effect on amino acid neurotransmitter metabolism. Biol Psychiatry. 2012;71(11):1022–1025. doi: 10.1016/j.biopsych.2011.11.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Kekesi O., Tuboly G., Szucs M. Long-lasting, distinct changes in central opioid receptor and urinary bladder functions in models of schizophrenia in rats. Eur J Pharmacol. 2011;661(1-3):35–41. doi: 10.1016/j.ejphar.2011.04.022. [DOI] [PubMed] [Google Scholar]
  • 108.Gupta A., Devi L.A., Gomes I. Potentiation of m-opioid receptor-mediated signaling by ketamine. J Neurochem. 2011;119(2):294–302. doi: 10.1111/j.1471-4159.2011.07361.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Sanacora G., Schatzberg A.F. Ketamine: promising path or false prophecy in the development of novel therapeutics for mood disorders? Neuropsychopharmacology. 2015;40(5):1307. doi: 10.1038/npp.2014.338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Jiménez-Sánchez L., Campa L., Auberson Y.P., Adell A. The role of GluN2A and GluN2B subunits on the effects of NMDA receptor antagonists in modeling schizophrenia and treating refractory depression. Neuropsychopharmacology. 2014;39(11):2673–2680. doi: 10.1038/npp.2014.123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Mathew S.J., Gueorguieva R., Brandt C., Fava M., Sanacora G. A Randomized, Double-Blind, Placebo-Controlled, Sequential Parallel Comparison Design Trial of Adjunctive Riluzole for Treatment-Resistant Major Depressive Disorder. Neuropsychopharmacology. 2017;42(13):2567–2574. doi: 10.1038/npp.2017.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Chowdhury G.M., Banasr M., de Graaf R.A., Rothman D.L., Behar K.L., Sanacora G. Chronic riluzole treatment increases glucose metabolism in rat prefrontal cortex and hippocampus. J Cereb Blood Flow Metab. 2008;28(12):1892–1897. doi: 10.1038/jcbfm.2008.78. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Current Therapeutic Research, Clinical and Experimental are provided here courtesy of Elsevier

RESOURCES