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Effects of isoflurane and urethane anesthetics on glutamate neurotransmission in rat brain using in vivo amperometry

Abstract

Background

Aspects of glutamate neurotransmission implicated in normal and pathological conditions are predominantly evaluated using in vivo recording paradigms in rats anesthetized with isoflurane or urethane. Urethane and isoflurane anesthesia influence glutamate neurotransmission through different mechanisms; however, real-time outcome measures of potassium chloride (KCl)-evoked glutamate overflow and glutamate clearance kinetics have not been compared within and between regions of the brain. In order to maintain rigor and reproducibility within the literature between the two most common methods of anesthetized in vivo recording of glutamate, we compared glutamate signaling as a function of anesthesia and brain region in the rat strain most used in neuroscience.

Methods

In the following experiments, in vivo amperometric recordings of KCl-evoked glutamate overflow and glutamate clearance kinetics (uptake rate and T80) in the cortex, hippocampus, and thalamus were performed using glutamate-selective microelectrode arrays (MEAs) in young adult male, Sprague-Dawley rats anesthetized with either isoflurane or urethane.

Results

Potassium chloride (KCl)-evoked glutamate overflow was similar under urethane and isoflurane anesthesia in all brain regions studied. Analysis of glutamate clearance determined that the uptake rate was significantly faster (53.2%, p < 0.05) within the thalamus under urethane compared to isoflurane, but no differences were measured in the cortex or hippocampus. Under urethane, glutamate clearance parameters were region-dependent, with significantly faster glutamate clearance in the thalamus compared to the cortex but not the hippocampus (p < 0.05). No region-dependent differences were measured for glutamate overflow using isoflurane.

Conclusions

These data support that amperometric recordings of KCl-evoked glutamate under isoflurane and urethane anesthesia result in similar and comparable data. However, certain parameters of glutamate clearance can vary based on choice of anesthesia and brain region. In these circumstances, special considerations are needed when comparing previous literature and planning future experiments.

Highlights

  • Potassium-evoked glutamate overflow was similar under urethane and isoflurane anesthesia.

  • Glutamate clearance parameters were similar under both anesthesias in the cortex and hippocampus but not the thalamus.

  • Glutamate clearance kinetics differ between brain regions when anesthetized with urethane.

  • Experimental design, brain region of interest, and outcome parameters of glutamate clearance should be considered when designing anesthetized amperometry recordings of glutamate.

Peer Review reports

Introduction

Amperometric techniques have provided fundamental information regarding brain chemical communication of neurotransmitter systems in normal and disease-related physiologies. Glutamate is the primary excitatory neurotransmitter in the central nervous system (CNS) [1]. Experimental models of many CNS disorders, including Alzheimer’s disease (AD), Huntington’s disease (HD), Parkinson’s disease (PD), epilepsy, attention-deficit/hyperactivity disorder (ADHD) and post-concussive symptoms have indicated changes in glutamate neurotransmission as part of their pathophysiology [2,3,4,5,6]. Importantly, mechanisms controlling glutamate neurotransmission provide novel targets for pharmacological intervention to restore physiological norms.

Laboratory studies often use different anesthetics when evaluating functional alterations in neurocircuitry. These anesthetics can influence glutamate neurotransmission through interactions with various molecular targets making it challenging to determine if observed differences are due to pathophysiology or anesthetic used. Thus, meta-analysis and literature reviews that do not consider anesthetic choice may result in inaccurate interpretations given the lack of information on the influence that anesthesia has on certain outcome measures of glutamate kinetics. Despite the widespread use of various anesthetics, the fundamental question remains whether different anesthetics can influence neurochemical signaling and their mechanism of action. Urethane and isoflurane are commonly used anesthetics in translational neuroscience experiments, with ~ 8290 papers identified for urethane and isoflurane since 1981 (PubMed search for “urethane” AND “brain” or “isoflurane” AND “brain” from 1981 to 2020; Fig. 1). In 1981, only five publications used isoflurane compared to 62 using urethane (7.5% isoflurane use). In 2020, 117 publications used isoflurane, and only 59 used urethane (66.5% isoflurane use). With this transition, it is important to consider whether specific outcome measures of experiments are influenced differentially between the two anesthetics so that researchers can build on previous bodies of knowledge. Furthermore, this knowledge would be a necessary consideration for experimental design and interpretation of future studies evaluating aspects of neuronal glutamatergic communication as we continue to apply them to understand neurochemical signaling under homeostatic and pathological conditions.

Fig. 1
figure 1

The number of publications using urethane and isoflurane for neuroscience research between 1981–2020. A PubMed search indicates the use of urethane has decreased while the use of isoflurane has increased over the past 40 years

Potassium (KCl)-evoked glutamate overflow and glutamate clearance kinetics are commonly used metrics of glutamatergic communication, measured by microdialysis or amperometry in anesthetized rats. Both urethane and isoflurane are known to suppress glutamate neurotransmission but work through dissimilar mechanisms that could differentially influence glutamate signaling. Urethane, also known as ethyl carbamate, produces long-lasting, steady levels of anesthesia with reports indicating minimal effects on circulation, respiration, autonomic function, and GABA neurotransmission [7,8,9,10,11]. Recent complementary studies indicate that urethane anesthetized rats retained functional connectivity patterns most similar to awake animals in comparison to isoflurane [11]. While urethane remains a popular anesthetic for electrophysiological experiments, but the actual influence on evoked glutamate release and clearance is unknown.

Given the benefits and ease of urethane use, urethane’s reported carcinogenic properties primarily constrain urethane use to non-survival experiments [12, 13]. To use a more clinically relevant anesthetic, an increasing number of research papers using electrochemical and electrophysiological techniques have begun to use isoflurane. Isoflurane, a halogenated ether, has been implemented for its swift induction and recovery times time [14]. The link between isoflurane exposure and synaptic transmission has been supported with studies showing isoflurane inhibition of voltage-gated sodium currents contributing to suppression of glutamate release in prefrontal cortex [15]. Recent ex vivo evidence also suggests that neonatal isoflurane exposure reduced glutamate uptake in cortical slices [16]. Isoflurane is also shown to enhance GABAergic neurotransmission in a dose-dependent fashion [17], where increased inhibition may result in decreased amounts of KCl-evoked glutamate release or may be similar to urethane due to full anesthetic dose.

In this study, we sought to evaluate the relative comparability of KCl-evoked glutamate overflow and glutamate clearance kinetics collected via amperometric recordings from rats anesthetized by either isoflurane or urethane. Glutamate selective microelectrode arrays coupled with micropipettes filled with isotonic KCl solution or exogenous glutamate were placed within the cortex, hippocampus, or thalamus of naïve rats anesthetized with either isoflurane or urethane. The target regions were chosen because they are commonly implicated in cognition, somatosensation, neuropathic pain, and alterations in circuit function.

Materials and methods

Subjects

A total of 24 young adult male Sprague-Dawley rats (3–4 month old; 359–438 g) were purchased (Envigo, Indianapolis, IN) and pair housed in disposable cages (Innovive, San Diego, CA) under normal 12:12 h light:dark cycle in a temperature- and humidity-controlled vivarium. Rats were provided food (Teklad 2918, Envigo, Indianapolis, IN) and water ad libitum. Group size estimates were determined from previous work [18], where n = 6–10/group could achieve > 80% power to detect a 75% increase in KCl-evoked glutamate release. All procedures were conducted in accordance with the National Institutes of Health (NIH) Guidelines for the Care and Use of Laboratory Animals care and were approved by the University of Arizona College of Medicine-Phoenix Institutional Animal Care and Use Committee (protocol #18–384).

Microelectrode arrays

Ceramic-based MEAs encompassing four platinum recording surfaces (15 × 333 μm; S2 configuration) aligned in a dual, paired design were obtained from Quanteon LLC (Nicholasville, KY) for in vivo anesthetized recordings. MEAs were fabricated and selected for recordings using previously described measures of 0.125% glutaraldehyde and 1% GluOx [18,19,20,21,22]. MEAs were made glutamate selective as previously described [18, 23, 24]. Prior to in vivo recordings, a size exclusion layer of m-phenylenediamine dihydrochloride (Acros Organics, NJ) was electroplated to all four platinum recording sites with the use of the FAST16 mkIII system (Fast Analytical Sensor Technology Mark III, Quanteon, LLC, Nicholasville, KY) to block potential interfering analytes such as ascorbic acid, catecholamines and other indoleamines [25]. The four platinum recording sites consisted of two glutamate-sensitive and two sentinel channels. The glutamate-sensitive channels were coated with 1% BSA, 0.125% glutaraldehyde and 1% glutamate oxidase.

Microelectrode array calibration

MEAs were calibrated with a FAST16 mkIII system to accurately record glutamate concentrations by creating a standard curve for each coated MEA before in vivo recordings, as described previously [23]. Briefly, the MEA tips were submerged into 40 ml of stirred 0.05 M phosphate-buffered saline (PBS) solution, kept in a water bath, and allowed to reach a stable baseline before beginning the calibration. Aliquots from stock solutions were added in succession following equilibrium such that 500 µL of ascorbic acid, three additions of 40 µL of L-glutamate, two additions of 20 µL of dopamine, and 40 µL of H2O2 were added to produce final concentrations of 250 µM of ascorbic acid, 20, 40 and 60 µM of L-glutamate, 20 µM and 40 µM dopamine and 8.8 µM of H2O2 respectively in the beaker of PBS (pH 7.4). A representative calibration is depicted in Fig. 2. From the MEA calibration, the following metrics were calculated and used for the determination of inclusion within the in vivo recordings: slope (sensitivity to glutamate), the limit of detection (LOD) (lowest amount of glutamate to be reliably recorded), and selectivity (ratio of glutamate to ascorbic acid). For the study, a total of 48 MEAs were used with 96 recording sites (Slopes: >5 pA/µM, LOD: <2.5 µM, and selectivity: >20:1).

Fig. 2
figure 2

Representative calibration of a glutamate selective microelectrode array (MEA). Representative MEA calibration prior to in vivo recordings in which only one glutamate selective recording site and one self-referencing site are represented. Aliquots of 250 µM ascorbic acid (AA), 20 µM glutamate (Glu), 2 µM dopamine (DA), and 8.8 µM H2O2 are represented by vertical bars on the x-axis

Microelectrode array/micropipette assembly

Following calibration, a single-barrel glass micropipette was attached to the MEA with the following steps to allow for the local application of solutions during in vivo experiments. A single-barreled glass capillary with a filament (1.0 × 0.58 mm2, 6” A-M Systems, Inc., WA) was pulled to a tip using a Kopf Pipette Puller (David Kopf Instruments, CA). The pulled pipette was then bumped using a microscope and a glass rod to have an inner diameter averaging 11.1 µm ± 0.56. The pulled glass pipettes were embedded in modeling clay and attached to the circuit board above the MEA tip. Molten wax was applied to the embedded pipette to secure the MEA/micropipette assembly and prevent its movement during the recording. The pipette attachment was performed under a microscope to carefully place the tip of the pipette above the glutamate-sensitive sites from the surface of the electrode. Measurements of pipette placement were confirmed using a microscope with a calibrated reticule in which the pipette was approximately 45 to 105 µm from the electrode sites (averaging 78.7 µm ± 4.9).

Reference electrode assembly

Silver/silver chloride reference electrodes were fabricated from Teflon-coated silver wire to provide an in vivo reference for the MEA. A 0.110-inch Teflon-coated silver wire (A-M Systems, Carlsborg, WA) was prepared by stripping approximately ¼” of Teflon coating from each end of a 6” section, soldering one end to a gold-plated socket (Ginder Scientific, Ottawa, ON) and the other being prepared to be coated with silver chloride. This end was placed into a 1 M HCl saturated with NaCl plating solution. A 9 V current was applied to the silver wire (cathode) versus the platinum wire (anode) for approximately 5 min. Upon completion, the silver/silver chloride reference electrode was placed in a light-sensitive box until implanted.

Surgery

Rats were randomly assigned to receive either isoflurane or urethane. For isoflurane anesthesia, rats were initially anesthetized with 5% isoflurane (in 100% oxygen at a flow rate of 0.5 l/min) for 5 min in an induction chamber. After righting and pedal reflexes were lost, hair was shaved from the head, and the animal was secured in a stereotaxic frame (David Kopf Instruments) with nonterminal ear bars. The frame was equipped with a nose cone for continuous delivery of 2% isoflurane using a calibrated vaporizer for the remainder of the experiment. 25% urethane (Sigma Aldrich, St. Louis, MO) was administered as serial intraperitoneal (i.p.) injections. After the initial dose of 1 g/kg urethane, supplementary doses of 0.1–0.2 g/kg (i.p.) were administered every 20 min until the pedal reflex was lost, a total dose between 1.25 and 1.5 g/kg. Heads were shaved and each rat was placed into a stereotaxic apparatus. Body temperature was maintained at 37 °C with isothermal heating pads (Braintree Scientific, MA). After the betadine/alcohol wash and allowed to dry, a midline incision was made in which the skin, fascia, and temporal muscles were reflected, exposing the skull. A bilateral craniectomy was then performed using a Dremel, exposing the stereotaxic coordinates for the somatosensory cortex, hippocampus, or thalamus. Dura was removed prior to the implantation of the MEA. Brain tissue was hydrated by applying saline-soaked cotton balls and gauze. Using blunt dissection, a silver/silver chloride-coated reference electrode wire was placed in a subcutaneous pocket on the dorsal side of the rat [26, 27]. All experiments were performed during the light phase of the 12 h-dark/light cycle.

In vivo amperometric recordings

Amperometric recordings performed here under either urethane or isoflurane anesthesia were similar to previously published methods [18, 28, 29]. For recording procedures with both anesthetics, body temperature was maintained at 37 °C with a heating pad and the level of anesthesia depth was assessed throughout the experiment to ensure an adequate level of anesthesia by continuously monitoring pedal reflex, muscle relaxation, eyelid reflex, and appearance of slower and more rhythmic breathing.

Immediately prior to implantation of the glutamate-selective MEA-pipette assembly, the pipette was filled with isotonic 120 mM of KCl (120 mM KCl, 29 mM NaCl, 2.5 mM CaCl2, pH 7.2 to 7.5) or 100 µM L-glutamate (100 µM L-glutamate in 0.9% sterile saline pH 7.2–7.5). The concentrations for both solutions have been previously shown to elicit reproducible potassium-evoked glutamate overflow or exogenous glutamate peaks [20, 30, 31]. Solutions were filtered through a 0.20 μm sterile syringe filter (Sarstedt AG & Co. Numbrecht, Germany) attached to a 1 mL syringe with a 4-inch, 30-gauge stainless steel needle with a beveled tip (Popper and Son, Inc, NY) while filling the micropipette. The open end of the micropipette end was then connected to a Picospritzer III (Parker-Hannin Corp., General Valve Corporation, OH) with settings to dispense fluid through the use of nitrogen gas in nanoliter quantities as measured by a dissecting microscope (Meiji Techno, San Jose, CA) with a calibrated reticule in the eyepiece [32, 33].

Once the MEA-micropipette apparatus was securely attached to the Picospritzer and FAST system, bregma was measured using an ultraprecise stereotaxic arm. MEA-micropipette constructs were implanted in the cortex (AP, -2.8 mm; ML, ± 5.0 mm; DV, -1.0 mm vs. bregma), hippocampus (AP, -3.5 mm; ML, ± 3.0 mm; DV, -2.6 to -3.75 mm vs. bregma) and thalamus (AP, -3.5 mm; ML, ± 3.0 mm; DV, -5.6 mm vs. bregma) based on the coordinates from Paxinos and Watson [34] (Fig. 3A). A constant voltage was applied to the MEA using the FAST16 mkIII recording system. In vivo recordings were performed at an applied potential of + 0.7 V compared to the silver/silver chloride reference electrode wire. All data were recorded at a frequency of 10 Hz and amplified by the headstage piece (2 pA/mV). Glutamate and KCl-evoked measures were recorded in both hemispheres in a randomized and balanced experimental design to mitigate possible hemispheric variations or effects of anesthesia duration.

Fig. 3
figure 3

Recording regions and amperometric calculations. (A) Anatomical regions of interest (ROI) in the rodent brain were the hippocampus (blue), thalamus (green), and cortex (yellow). Image modified from Paxinos and Watson (2007). * represents the tip of the MEA. (B) Representative peak, showing glutamate concentration (µM) as a function of time in seconds in response to local applications of 100 µM glutamate. Amperometric calculations used in the analysis (peak amplitude, uptake rate, and T80) are shown

KCl-Evoked overflow of glutamate analysis parameters

All recordings were conducted at 10 Hz and analyzed without signal processing or filtering the data. Once the glutamate MEA was lowered, and the electrochemical signal had reached stable baseline, matched volumes of 120 mM potassium were locally applied two minutes apart to induce depolarization and subsequent overflow of glutamate from synapse was measured by the MEA. The volume of each application of KCl was predetermined to ensure maximal response (largest amount of glutamate released), which was confirmed by a smaller evoked peak following the 2-minute interval. Volume of locally applied exogenous fluids are determined using a stereomicroscope fitted with reticule and calibrated for 250 nL release per 1 mm movement of the meniscus within the single barrel glass micropipette [33, 35]. The pressure injections usually lasted for 1 s at 20 psi. The maximal amplitude of the glutamate response (µM) of the first peak was the primary outcome measure for analysis.

Glutamate clearance analysis parameters

All recordings were conducted at 10 Hz and analyzed without signal processing or filtering of the data. Once the electrochemical signal had reached a baseline, 100 µM glutamate was locally applied into the extracellular space to record glutamate detection and subsequent clearance. Additions of exogenous glutamate were applied at 30-second intervals for reproducible glutamate peaks detected by MEAs where signals returned to the baseline before repeating the procedure. Clearance parameters of 3 amplitude-matched peaks were averaged to create a single representative value per recorded region per rat. Primary outcome measures for analysis include the uptake rate and the time taken for 80% of the exogenous glutamate to clear the extracellular space (T80). The uptake rate is calculated by multiplying the uptake rate constant (k− 1) by the peak’s maximum amplitude. The uptake rate constant is how quickly the glutamate decays over time and is calculated by fitting a linear regression to the natural log transformation of the data over time [35]. Diagrammatic example of these calculations is shown in Fig. 3B.

MEA placement verification

Immediately following in vivo recordings, isoflurane-anesthetized rats received lethal injection (4 ml/kg, i.p.) of Euthasol® euthanasia solution (sodium pentobarbital and phenytoin mixture, Virbac AH, Inc.). Upon cessation of breathing, rats were decapitated, brains excised, and post-fixed in cold 4% paraformaldehyde (PFA). Rats anesthetized with urethane were decapitated, brains excised, and placed in 4% PFA. Brains were cryoprotected, sectioned, and stained with a hematoxylin and eosin stain to confirm MEA placement. No electrode tracts were excluded due to placement (data not shown).

Statistical analysis

The amperometric data were saved on the FAST 16 mkIII system. Datasets were analyzed with FAST Analysis software (Jason Burmeister Consulting) and processed using a customized Microsoft Excel® spreadsheet. Inclusion criterion for data analysis of KCl-evoked response was the maximum amount of glutamate overflow. When evaluating glutamate clearance kinetics, only amplitude values between 10 and 23 µM were considered, accounting for the influence of Michaelis-Menten kinetics. This selection criteria stems from the understanding that as glutamate concentration rises, the transporters’ reaction rate, and consequently the glutamate clearance rate, also increases [36]. All data are presented as mean + standard error mean (mean + SEM) and analyzed using the statistical software GraphPad Prism 9.4.1. The number of animals comparisons between anesthetics used a two-tailed Student’s t-test. Differences between regions were determined using a one-way ANOVA with Tukey’s post-hoc comparison. All data sets were evaluated for variance (Brown-Forsythe) and normality (Kolmogorov-Smirnov) to ensure assumptions were met for analysis. Outliers were evaluated using a ROUT method with a false discovery rate of (Q) 1% (GraphPad Prism Version 9.5.1, San Diego, CA). Differences were considered statistically significant when p < 0.05.

Results

Levels of evoked release of glutamate were similar in urethane and isoflurane-anesthetized rats

Surrounding neuronal tissue was depolarized with volume-matched (75–150 nL) applications of 120 mM isotonic KCl, and the maximum amplitude of glutamate was recorded. Cortical recordings revealed no significant differences in the amount of glutamate overflow between rats anesthetized with isoflurane or urethane (N = 6–7 rats; \(\stackrel{-}{\text{x}}\)Iso = 39.65 µM, \(\stackrel{-}{\text{x}}\)Ure = 71.14 µM; t11 = 1.629; p = 0.131; Fig. 4A). Similarly, KCl-evoked glutamate overflow was independent of anesthetics in the hippocampus (N = 7 rats; \(\stackrel{-}{\text{x}}\)Iso = 21.80 µM, \(\stackrel{-}{\text{x}}\)Ure = 33.66 µM; t12 = 1.247; p = 0.236; Fig. 4B) or thalamus (N = 8 rats; \(\stackrel{-}{\text{x}}\)Iso = 25.18 µM, \(\stackrel{-}{\text{x}}\)Ure = 38.84 µM; t14 = 1.299; p = 0.214; Fig. 4C).

Fig. 4
figure 4

Levels of evoked release of glutamate were similar in urethane and isoflurane-anesthetized rats. Local applications of volume-matched 120 mM potassium chloride (KCl) were made to the cortex, hippocampus, and thalamus. There was no significant difference between the glutamate overflow measured for rats anesthetized with isoflurane or urethane in the (A) cortex (t11 = 1.629, p = 0.131), (B) hippocampus (t12 = 1.247, p = 0.236), or (C) thalamus (t14 = 1.299, p = 0.214). Bar graphs represent mean + SEM. N = 6–8 per group

Glutamate uptake rate was faster in the thalamus of urethane-anesthetized rats

In each region of interest (ROI), glutamate clearance from the extracellular space was evaluated. Local applications of 100 µM exogenous glutamate were amplitude-matched at the time of administration. Cortical recordings revealed no significant differences in uptake rate between rats anesthetized with isoflurane or urethane (N = 6–7 rats; \(\stackrel{-}{\text{x}}\)Iso = 8.460 µM/sec., \(\stackrel{-}{\text{x}}\)Ure = 6.938 µM/sec.; t11 = 0.544; p = 0.597; Fig. 5A). Uptake rate was also similar between anesthetics in the hippocampus (N = 7 rats; \(\stackrel{-}{\text{x}}\)Iso = 9.221 µM/sec., \(\stackrel{-}{\text{x}}\)Ure = 8.923 µM/sec.; t12 = 0.148; p = 0.884; Fig. 5B). However, the thalamus of urethane-anesthetized rats showed a significantly faster uptake rate in comparison to isoflurane-anesthetized rats (N = 6–9 rats; \(\stackrel{-}{\text{x}}\)Iso = 8.093 ± 1.467 µM/sec., \(\stackrel{-}{\text{x}}\)Ure = 12.40 ± 1.558 µM/sec.; t13 = 2.817; p = 0.0145; Fig. 5C). No differences were identified in the cortex (N = 5–7 rats; \(\stackrel{-}{\text{x}}\)Iso = 2.972 s, \(\stackrel{-}{\text{x}}\)Ure = 3.834 s; t10 = 1.329; p = 0.213; Fig. 6A), hippocampus (N = 5–7 rats; \(\stackrel{-}{\text{x}}\)Iso = 2.529 s, \(\stackrel{-}{\text{x}}\)Ure = 2.708 s; t9 = 0.525; p = 0.612; Fig. 6B), or thalamus (N = 6–9 rats; \(\stackrel{-}{\text{x}}\)Iso = 3.269 s, \(\stackrel{-}{\text{x}}\)Ure = 2.525 s; t13 = 1.827; p = 0.090; Fig. 6C).

Fig. 5
figure 5

Glutamate uptake rates were similar in the cortex and hippocampus and different in the thalamus of urethane and isoflurane-anesthetized rats. Amplitude-matched signals from local applications of 100 µM exogenous glutamate compared for extracellular glutamate clearance in the cortex, hippocampus, and thalamus. No significant difference in the uptake rate between rats anesthetized with isoflurane or urethane in the (A) cortex (t11 = 0.544, p = 0.597) and (B) hippocampus (t12 = 0.148, p = 0.884). (C) Urethane administration was associated with a significantly faster uptake rate in thalamus than isoflurane (t13 = 2.817, p = 0.0145). Bar graphs represent mean + SEM. N = 6–9 per group

Fig. 6
figure 6

Extracellular clearance times (T80) were similar in urethane and isoflurane-anesthetized rats. Local application of 100 µM exogenous glutamate resulted in amplitude-matched signals to assess the T80 in the cortex, hippocampus, and thalamus. There was no significant difference in the time taken for 80% of the maximal amplitude to clear between rats anesthetized with isoflurane or urethane in the (A) cortex (t10 = 1.329, p = 0.213), (B) hippocampus (t9 = 0.525, p = 0.612), or (C) thalamus (t13 = 1.827, p = 0.090). Bar graphs represent mean + SEM. N = 4–9 per group

Urethane anesthesia causes brain region-specific differences in glutamate kinetics

Aspects of glutamate neurotransmission were compared between brain regions under the influence of single anesthetic to determine region-specific differences. No significant differences were detected between the cortex, hippocampus, and thalamus when using isoflurane for KCl-evoked glutamate overflow, uptake rate, and T80 (Fig. 7A-C). Additionally, no differences were detected between regions for KCl-evoked overflow (Fig. 7D) when using urethane anesthesia. Region-dependent differences were detected in glutamate clearance, with both the uptake rate (F2,20 = 4.41; p = 0.026; Fig. 7E) and T80 (F2,14 = 3.79; p = 0.044; Fig. 7F) being statistically significant between the thalamus and cortex recordings. Uptake rate in the thalamus was significantly faster than the cortex (p = 0.023), with no differences detected between the cortex or thalamus and the hippocampus (\(\stackrel{-}{\text{x}}\)Ctx−Ure = 6.938 µM/sec, \(\stackrel{-}{\text{x}}\)Hippo−Ure = 8.923 µM/sec, \(\stackrel{-}{\text{x}}\)Thal−Ure = 12.40 µM/sec). Faster uptake rate in the thalamus was supported by a shorter time to clear 80% of the glutamate signal in comparison to the cortex (\(\stackrel{-}{\text{x}}\)Ctx−Ure = 3.834 s, \(\stackrel{-}{\text{x}}\)Hippo−Ure = 2.708 s, \(\stackrel{-}{\text{x}}\)Thal−Ure 2.525 s; p = 0.042).

Fig. 7
figure 7

Glutamate clearance under urethane was capable of distinguishing region-dependent differences. (A-C) Under isoflurane, all outcome measures were similar between the cortex, hippocampus, and thalamus. (D) No significant differences were detected in KCl-evoked glutamate release across regions when using urethane. (E-F) Glutamate clearance kinetics under urethane changes as a function of the brain region when evaluating uptake rate (F2,20 = 4.41; p = 0.026) and T80 (F2,14 = 3.79; p = 0.044), where uptake rate was significantly faster and clearance time was significantly shorter in the thalamus compared to the cortex. Bar graphs represent mean + SEM. N = 6–9 per group

Discussion

These experiments were designed to test whether KCl-evoked glutamate overflow and glutamate clearance kinetics in the cortex, hippocampus, and thalamus were similar in rats anesthetized with either urethane or isoflurane. No differences in KCl-evoked glutamate overflow were identified by evaluating the maximal amplitude of glutamate released. The uptake rate and clearance time (T80) of locally applied exogenous glutamate were also similar under both anesthetics in the cortex and hippocampus; however, the uptake rate under urethane was significantly faster in the thalamus compared to isoflurane. Further, urethane treatment allowed the capability of measuring region-specific differences, where all regions were similar with isoflurane anesthetization. These data support the need for careful interpretation when comparing recordings from rodents under urethane or isoflurane anesthesia, as certain parameters of glutamate uptake vary based on the choice of anesthesia and brain region.

Local application of KCl causes a net positive of the resting membrane potential of surrounding neurons and glia, which results in subsequent action potentials that release stored neurotransmitters. The depolarization through KCl is thought to largely reflect synaptic release while Ca2+-dependent vesicular release by glia also occurs [37,38,39,40]. The glutamate-selective MEAs record sub-second changes in glutamate overflow into the extracellular space, such that the maximum amplitude can be statistically evaluated. Alterations of values obtained from KCl-evoked glutamate overflow may result from changes to presynaptic neuron release, glutamate output from surrounding glia, decreased glutamate clearance, and the changes to glutamate transporters, GABAergic or modulatory neurotransmission, or alterations to mGluR regulation of glutamate release [18, 28, 41,42,43]. A larger glutamate release in response to KCl-evoked depolarization closely resembles excessive excitability as previously described [44], which would indicate circuit excitability. In these experiments, no difference in evoked glutamate release was determined as a function of anesthesia or region. Both urethane and isoflurane can dampen evoked responses, where urethane has been shown influence physiological evoked responses less than isoflurane, hypothesized to be due to isoflurane increasing tonic GABAergic inhibition [17, 45]. However, our data suggest that KCl-evoked glutamate levels are similar when the depth of anesthesia results in loss of reflexes and rapid, shallow, breathing recommended for surgical procedures. Perhaps, the strong depolarization of 120 mM KCl overpowers any inhibitory effects of isoflurane, where using smaller volumes or lower concentrations of KCl may be able to detect anesthesia-dependent differences.

Local application of exogenous glutamate enables the study of glutamate clearance kinetics in the extracellular space. The main contributors to the clearance of glutamate from the extracellular space in the cortex, hippocampus, and thalamus are astrocytic glutamate transporters EAAT1 (GLT-1; cerebral cortex: 90%; thalamus: 54%; data in comparison to the hippocampus) and EAAT2 (GLAST; cerebral cortex: 33%; hippocampus: 35%; thalamus: 22%; data in contrast to the cerebellum), and to a lesser extent, post-synaptic transporters EAAT3/4 [1, 46, 47]. GLT1 (EAAT2) is located on glia and is responsible for 90% of the glutamate uptake. GLAST (EAAT1) is also predominantly on glia, where GLT1 is typically 4x GLAST with the exception of Bergmann glia in cerebellum [1, 48,49,50]. Changes in glutamate clearance may indicate the function of glutamate transporters, transporter trafficking, transporter capacity, and transporter affinity [51]. Extracellular clearance parameters, including uptake rate, represent the velocity of the transporters, while T80 indicates the affinity of glutamate to the transporters [52]. Previous work has shown that alterations to the location (trafficking) or expression of GLT-1 and GLAST correlate to changes in glutamate clearance parameters as well [53, 54]. Conflicting literature evaluating the influence of isoflurane on glutamate uptake in in vitro models indicates enhancements in a dose-dependent manner [55,56,57], suppression/inhibition [58, 59], or no change [60]. Further, isoflurane use has been shown to increase the surface-level expression of EAAT3 [61].

While studies addressing the influence of urethane on glutamate transporters are lacking, the present data indicate that urethane interacts with the neurotransmitter system in the thalamus differently, such that regional-dependent differences in glutamate clearance can be detected. Borrowing data from our previous finding [18], where we used a similar experimental paradigm under isoflurane anesthesia, we compared the uptake rate between the cortex and the thalamus and did not detect a significant difference using a two-tailed Student’s t-test (t16 = 0.38; p = 0.71). Similarly, borrowing data from Krishna et al., 2020, where we replicated these experiments under urethane anesthesia, we compared the update rate constant between the cortex and the thalamus, where a higher uptake rate constant in the thalamus approached significance compared to cortex (t17 = 1.89; p = 0.077) [23]. The primary difference between the experimental design in our previous publications and the present study is the inclusion criterion for amplitude matching, where previously we analyzed amplitudes from ~ 7–15 µM and these experiments included 10–23 µM, where the overall larger amplitude size could have emphasized region-dependent differences. Thus, overall, our previous publications support the reported region-dependent differences. Perhaps cellular, laminar, and regional heterogeneities of glutamate transporter distribution in the thalamus are contributing to this effect [62]. Subpopulation of the thalamic astrocytes expresses AMPA receptors that are not present in other brain regions, indicating unique characteristics of the thalamus across multiple brain regions [63], which may be evolutionarily conserved due to the thalamus’s fundamental demands for information processing and integration. Additional studies are needed to confirm whether this effect is due to the anesthetics having a differential influence on transporter function/expression or whether other distinct mechanisms of action culminate in minor region-dependent clearance kinetics.

The pharmacological mechanisms for anesthesia by urethane and isoflurane need to be better understood at the neurochemical level, making it difficult to predict the effect on aspects of neurotransmission [64]. Both urethane and isoflurane have been indicated to dampen overall glutamate neurotransmission, reported by evidence of less glutamate released, altered reuptake, reduced cellular excitability, decreased evoked glutamate overflow, and decreased tonic levels [7, 58, 65,66,67,68,69,70]. These effects may be mediated through the interaction between urethane and isoflurane with various GABAergic and glutamatergic receptors, as well as similar antagonistic effects at NMDA and AMPA receptors [71, 72]. Local field potential values were also similar under both anesthetics [64]. While each respective anesthetic’s molecular mechanism remains only partially understood, similarities amongst molecular targets and aspects of neuronal communication may contribute to comparable alterations in glutamate neurotransmission. Alternate sites of action of the anesthetics indicate a dose-dependent influence on factors that mediate glutamate neurotransmission [71, 73]. Isoflurane has been shown to bind to GABAa receptors [74], glutamate receptors, and glycine receptors, inhibit potassium channels [75, 76], and hyperpolarize neurons [77]. Hara et al. describes several unique molecular targets of urethane that influence glutamate neurotransmission, including enhancement of GABAa and glycine receptors, while various NMDA and AMPA subtypes are inhibited dose-dependently [71]. Furthermore, a 30% decrease in glutamate concentrations in the cerebral cortex of rats under urethane exposure is observed compared to unanesthetized rats [7]. It is indicated that urethane and isoflurane suppress presynaptic glutamate release associated with increased excitatory post-synaptic currents (EPSCs) in the hippocampus and thalamus, respectively [8, 78]. Further, it is shown that glutamate neurotransmission is reduced in cortical inhibitory interneurons with urethane exposure [79]. These reports indicate that other parameters, like basal extracellular levels, electrophysiological characteristics, and cell types not evaluated in these experiments, could be disrupted. Importantly, a recent study indicated that both isoflurane and urethane exposure had no significant impact on the neuronal response to whisker stimulation in mice [18, 23, 80, 81].

Anesthesia offers a valuable tool for neurochemical analysis, whether via amperometry, microdialysis, electrophysiology, or other methods. Such analysis allows for examining neuronal communication across multiple regions and detecting pathological shifts compared to controls within relevant circuits [82]. However, it’s essential to note that animal-specific factors, such as species, strain, age, and sex, impact glutamate neurotransmission. The mechanisms behind these influences remain largely theoretical and might obscure true biological relevance [18, 23, 53, 83,84,85,86,87,88]. Our data indicate that glutamate clearance parameters did not significantly differ between isoflurane and urethane in the cortex and hippocampus, despite being accomplished through dissimilar mechanisms. Yet, reports on the broader implications of these anesthetics on neuronal communication are more varied. For example, isoflurane has been shown to dampen sub-cortical activity, inducing synchronous cortico-striatal fluctuations, while using urethane resulted in recordings more similar to awake rodents [10]. Neuronal activity measured utilizing BOLD fMRI reported that both isoflurane and urethane dampens responses when compared to unanesthetized subjects but does not comment on which anesthetic is more comparable to the awake state [89,90,91]. Studies investigating changes in molecular components that are known to interact with a given anesthetic must use caution when interpreting results and attributing changes to a specific mechanism. These and other studies indicate that not all neuronal circuits respond identically under anesthesia. Thus, investigating anesthesia’s effect on other neuromodulators (5-HT, GABA, DA, ACh) and their functional outputs in specific circuits should be considered when interpreting comparisons across several studies, despite PCO2, O2, pH, and heart rate being similarly affected [10]. Therefore, experiments should be carried out in preparation for moving into awake-behaving models, where simultaneous recordings of behavior and glutamate signaling are possible. In doing so, it is possible to measure behaviorally relevant aberrant glutamate signaling and determine the efficacy of therapeutic approaches to treat several brain disorders marked by maladaptive behaviors.

The safety and efficacy of anesthetic on animals has historically influenced researchers’ choice when considering study design. Urethane is classified by the International Agency for Research on Cancer as a group 2 A carcinogen and thus considered “probably carcinogenic to humans.“ This designation has limited urethane use primarily to non-survival studies despite its ease of use and favorable profile. In doing so, using urethane as a sole anesthetic in longitudinal studies with multiple data collection time points in the same animals is not considered humane for the risk of tumor formation. However, the inclusion of urethane as part of an anesthetic cocktail provides researchers with significant advantages. In mice, it was found that using 560 mg/kg alongside ketamine and xylazine was not carcinogenic [92]. This mixture proves beneficial, as lower doses of all three anesthetics can minimize the confounding alterations in electrical potentials often seen when a ketamine/xylazine duo is administered in isolation [92,93,94]. Importantly, these studies underscore the potential advantages of combining various anesthetics to harness their individual strengths.

A limitation of these experiments is that they were conducted exclusively in male subjects, while recent evidence has shown that glutamate clearance differs between males and females, with females exhibiting slower clearance in certain brain regions [23]. Considering the NIH’s mandate for the inclusion of females in research and the absence of comparable foundational data, the risk to data integrity, interpretation, rigor, and reproducibility is magnified. Future studies must address this limitation by including females to ensure a comprehensive understanding of glutamate dynamics and its potential sex-specific differences.

Conclusions

Glutamate signaling is essential for synaptic plasticity and associated behaviors in healthy and pathological states [95, 96]. Understanding glutamate neurotransmission in limbic brain regions, crucial for learning, sensory, and affective/ anxiety-like behaviors, can serve as a marker for both functional and dysfunctional brain activity. However, the utilization of anesthetics in animal research can introduce variables that influence glutamate neurotransmission, thereby adding complexity to data interpretation. Our study uniquely investigates in vivo glutamate dynamics under urethane and isoflurane anesthesia, revealing similar KCl-evoked glutamate overflow but distinct clearance parameters in different brain regions. When interpreting electrochemical recordings under either anesthetic, researchers should consider other potential influencing factors, particularly the region of interest. Future studies should optimize experimental designs, capitalizing on the inherent advantages of chosen anesthetics, and include females to evaluate potential sex-specific sensitivities. In summary, our results accentuate the need for meticulous experimental design and region-specific consideration when examining glutamate dynamics in the backdrop of anesthesia.

Data Availability

All data that support the findings of this study are available from the corresponding author upon request.

Abbreviations

AD:

Alzheimer’s disease

ADHD:

Attention-deficit/hyperactivity disorder

CNS:

Central nervous system

HD:

Huntington’s disease

KCl:

Potassium chloride

LOD:

Limit of detection

MEAs:

Microelectrode arrays

PBS:

Phosphate buffered saline

PD:

Parkinson’s disease

PFA:

Paraformaldehyde

ROI:

Region of interest

References

  1. Danbolt NC. Glutamate uptake. ProgNeurobiol. 2001;65(1):1–105.

    CAS  Google Scholar 

  2. Hascup KN, Findley CA, Britz J, Esperant-Hilaire N, Broderick SO, Delfino K, et al. Riluzole attenuates glutamatergic tone and cognitive decline in AβPP/PS1 mice. J Neurochem. 2021;156 4:513–23. https://doi.org/10.1111/jnc.15224

    Article  CAS  Google Scholar 

  3. Blandini F, Porter RH, Greenamyre JT. Glutamate and Parkinson’s disease. Mol Neurobiol. 1996;12 1:73–94. https://doi.org/10.1007/bf02740748

    Article  Google Scholar 

  4. Joyce JM, Mercier LJ, Stokoe M, La PL, Bell T, Batycky JM, et al. Glutamate, GABA and glutathione in adults with persistent post-concussive symptoms. Neuroimage Clin. 2022;36:103152. https://doi.org/10.1016/j.nicl.2022.103152

    Article  PubMed  PubMed Central  Google Scholar 

  5. Meldrum BS. The role of glutamate in epilepsy and other CNS disorders. Neurology. 1994;44(11 Suppl 8):14–23.

    Google Scholar 

  6. Hiraoka Y, Sugiyama K, Nagaoka D, Tsutsui-Kimura I, Tanaka KF, Tanaka K. Mice with reduced glutamate transporter GLT1 expression exhibit behaviors related to attention-deficit/hyperactivity disorder. Biochem Biophys Res Commun. 2021;567:161–5. https://doi.org/10.1016/j.bbrc.2021.06.057

    Article  PubMed  CAS  Google Scholar 

  7. Moroni F, Corradetti R, Casamenti F, Moneti G, Pepeu G. The release of endogenous GABA and glutamate from the cerebral cortex in the rat. Naunyn Schmiedebergs Arch Pharmacol. 1981;316 3:235–9.

    Article  Google Scholar 

  8. Tian Y, Lei T, Yang Z, Zhang T. Urethane suppresses hippocampal CA1 neuron excitability via changes in presynaptic glutamate release and in potassium channel activity. Brain Res Bull. 2012;87(4–5):420–6. https://doi.org/10.1016/j.brainresbull.2012.01.006

    Article  PubMed  CAS  Google Scholar 

  9. Maggi CA, Meli A. Suitability of urethane anesthesia for physiopharmacological investigations in various systems. Part 1: General considerations. Experientia. 1986;42:2109–14.

    Google Scholar 

  10. Paasonen J, Stenroos P, Salo RA, Kiviniemi V, Gröhn O. Functional connectivity under six anesthesia protocols and the awake condition in rat brain. NeuroImage. 2018;172:9–20. https://doi.org/10.1016/j.neuroimage.2018.01.014

    Article  PubMed  Google Scholar 

  11. Soma LR. Anesthetic and analgesic considerations in the experimental animal. Ann N Y Acad Sci. 1983;406:32–47.

    Article  PubMed  CAS  Google Scholar 

  12. Okamura M, Unami A, Matsumoto M, Oishi Y, Kashida Y, Mitsumori K. Gene expression analysis of urethane-induced lung tumors in ras H2 mice. Toxicology. 2006;217:2–3. https://doi.org/10.1016/j.tox.2005.09.021

    Article  CAS  Google Scholar 

  13. Field KJ, Lang CM. Hazards of urethane (ethyl carbamate): a review of the literature. Lab Anim. 1988;22 3:255–62. https://doi.org/10.1258/002367788780746331

    Article  Google Scholar 

  14. Henry RT, Casto R. Simple and inexpensive delivery of halogenated inhalation anesthetics to rodents. Am J Physiol. 1989;257(3 Pt 2):R668–71. https://doi.org/10.1152/ajpregu.1989.257.3.R668

    Article  PubMed  CAS  Google Scholar 

  15. Qiu J, Yang Y, Liu J, Zhao W, Li Q, Zhu T, et al. The volatile anesthetic isoflurane differentially inhibits voltage-gated sodium channel currents between pyramidal and parvalbumin neurons in the prefrontal cortex. Front Neural Circuits. 2023;17:1185095. https://doi.org/10.3389/fncir.2023.1185095

    Article  PubMed  PubMed Central  Google Scholar 

  16. de Oliveira LF, Poluceno GG, Sampaio TB, Constantino LC, Costa AP, Martins WC, et al. Neonatal isoflurane exposure in rats impairs short-term memory, cell viability, and glutamate uptake in slices of the Frontal Cerebral cortex, but not the Hippocampus, in Adulthood. Neurotox Res. 2022;40 6:1924–36. https://doi.org/10.1007/s12640-022-00607-2

    Article  CAS  Google Scholar 

  17. Caraiscos VB, Newell JG, You-Ten KE, Elliott EM, Rosahl TW, Wafford KA, et al. Selective enhancement of tonic GABAergic inhibition in murine hippocampal neurons by low concentrations of the volatile anesthetic isoflurane. J Neurosci. 2004;24 39:8454–8. https://doi.org/10.1523/jneurosci.2063-04.2004

    Article  Google Scholar 

  18. Thomas TC, Hinzman JM, Gerhardt GA, Lifshitz J. Hypersensitive glutamate signaling correlates with the development of late-onset behavioral morbidity in diffuse brain-injured circuitry. J Neurotrauma. 2012;29 2:187–200. https://doi.org/10.1089/neu.2011.2091

    Article  Google Scholar 

  19. Burmeister J, Gerhardt G. Neurochemical arrays. Encyclopedia of Sensors. 2006;6:525.

    CAS  Google Scholar 

  20. Burmeister JJ, Pomerleau F, Day BK, Huettl P, Gerhardt GA. Improved ceramic-based multisite microelectrode for rapid measurements of L-glutamate in the CNS. J Neurosci Methods. 2002;119:163–71.

    Article  PubMed  CAS  Google Scholar 

  21. Burmeister JJ, Gerhardt GA. Ceramic-based Multisite Microelectrodes for Electrochemical Recordings. Anal Chem. 2000;72:1187–92.

    Article  Google Scholar 

  22. Burmeister JJ, Gerhardt GA. Self-referencing ceramic-based Multisite Microelectrodes for the detection and elimination of interferences from the measurement of L-Glutamate and other Analytes. Anal Chem. 2001;73 5:1037–42.

    Article  Google Scholar 

  23. Krishna G, Bromberg C, Connell EC, Mian E, Hu C, Lifshitz J, et al. Traumatic Brain Injury-Induced sex-dependent changes in late-onset sensory hypersensitivity and glutamate neurotransmission. Front Neurol. 2020;11:749. https://doi.org/10.3389/fneur.2020.00749

    Article  PubMed  PubMed Central  Google Scholar 

  24. Beitchman JA, Griffiths DR, Hur Y, Ogle SB, Bromberg CE, Morrison HW, et al. Experimental traumatic brain Injury induces chronic glutamatergic dysfunction in amygdala circuitry known to regulate anxiety-like Behavior. Front Neurosci. 2019;13:1434. https://doi.org/10.3389/fnins.2019.01434

    Article  PubMed  Google Scholar 

  25. Burmeister JJ, Pomerleau F, Palmer M, Day BK, Huettl P, Gerhardt GA. Improved ceramic-based multisite microelectrode for rapid measurements of L-glutamate in the CNS. J Neurosci Methods. 2002;119 2:163–71. https://doi.org/10.1016/s0165-0270(02)00172-3

    Article  Google Scholar 

  26. Moussy F, Harrison DJ. Prevention of the rapid degradation of subcutaneously implanted Ag/AgCl reference electrodes using polymer coatings. AnalChem. 1994;66 5:674–9.

    Google Scholar 

  27. Quintero JE, Day BK, Zhang Z, Grondin R, Stephens ML, Huettl P, et al. Amperometric measures of age-related changes in glutamate regulation in the cortex of rhesus monkeys. ExpNeurol. 2007;208(2):238–46.

    CAS  Google Scholar 

  28. Hinzman JM, Thomas TC, Burmeister JJ, Quintero JE, Huettl P, Pomerleau F, et al. Diffuse brain injury elevates tonic glutamate levels and potassium-evoked glutamate release in discrete brain regions at two days post-injury: an enzyme-based microelectrode array study. JNeurotrauma. 2010;27 5:889–99.

    Article  Google Scholar 

  29. Thomas TC, Lisembee A, Gerhardt GA, Lifshitz J. Glutamate neurotransmission recorded on a Sub-Second Timescale in a diffuse brain-injured Circuit reveals Injury-Induced deficits that parallel the development of behavioral morbidity in rats. J Neurotrauma. 2009;26:8.

    Google Scholar 

  30. Stephens ML, Pomerleau F, Huettl P, Gerhardt GA, Zhang Z. Real-time glutamate measurements in the putamen of awake rhesus monkeys using an enzyme-based human microelectrode array prototype. J Neurosci Methods. 2010;185(2):264–72. https://doi.org/10.1016/j.jneumeth.2009.10.008

    Article  PubMed  CAS  Google Scholar 

  31. Day BK, Pomerleau F, Burmeister JJ, Huettl P, Gerhardt GA. Microelectrode array studies of basal and potassium-evoked release of L-glutamate in the anesthetized rat brain. J Neurochem. 2006;96 6:1626–35. https://doi.org/10.1111/j.1471-4159.2006.03673.x

    Article  CAS  Google Scholar 

  32. Cass WA, Gerhardt GA, Mayfield RD, Curella P, Zahniser NR. Differences in dopamine clearance and diffusion in rat striatum and nucleus accumbens following systemic cocaine administration. JNeurochem. 1992;59(1):259–66.

    Article  CAS  Google Scholar 

  33. Friedemann MN, Gerhardt GA. Regional effects of aging on dopaminergic function in the Fischer-344 rat. NeurobiolAging. 1992;13:2325–32.

    Google Scholar 

  34. Paxinos G, Watson C. The rat brain in stereotaxic coordinates. New York: Academic Press; 2007.

    Google Scholar 

  35. Hascup KN, Rutherford EC, Quintero JE, Day BK, Nickell JR, Pomerleau F, et al. Frontiers in Neuroengineering. Second-by-second measures of L-Glutamate and other neurotransmitters using enzyme-based microelectrode arrays. In: Michael AC, Borland LM, editors. Electrochemical Methods for Neuroscience. Boca Raton (FL): CRC Press/Taylor & Francis, Taylor & Francis Group, LLC.; 2007.

    Google Scholar 

  36. Takahashi M, Billups B, Rossi D, Sarantis M, Hamann M, Attwell D. The role of glutamate transporters in glutamate homeostasis in the brain. J Exp Biol. 1997;200:401–9. https://doi.org/10.1242/jeb.200.2.401

    Article  PubMed  CAS  Google Scholar 

  37. Paré D, Shink E, Gaudreau H, Destexhe A, Lang EJ. Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons in vivo. J Neurophysiol. 1998;79 3:1450–60. https://doi.org/10.1152/jn.1998.79.3.1450

    Article  Google Scholar 

  38. Parpura V, Basarsky TA, Liu F, Jeftinija K, Jeftinija S, Haydon PG. Glutamate-mediated astrocyte-neuron signalling. Nature. 1994;369 6483:744–7. https://doi.org/10.1038/369744a0

    Article  Google Scholar 

  39. Pasti L, Zonta M, Pozzan T, Vicini S, Carmignoto G. Cytosolic calcium oscillations in astrocytes may regulate exocytotic release of glutamate. J Neurosci. 2001;21 2:477–84. https://doi.org/10.1523/jneurosci.21-02-00477.2001

    Article  Google Scholar 

  40. Larter R, Craig MG. Glutamate-induced glutamate release: a proposed mechanism for calcium bursting in astrocytes. Chaos. 2005;15 4:047511. https://doi.org/10.1063/1.2102467

    Article  CAS  Google Scholar 

  41. Santhakumar V, Voipio J, Kaila K, Soltesz I. Post-traumatic hyperexcitability is not caused by impaired buffering of extracellular potassium. JNeurosci. 2003;23 13:5865–76.

    Article  Google Scholar 

  42. Jacob TC, Moss SJ, Jurd R. GABA(A) receptor trafficking and its role in the dynamic modulation of neuronal inhibition. Nat Rev Neurosci. 2008;9 5:331–43. https://doi.org/10.1038/nrn2370

    Article  CAS  Google Scholar 

  43. Watt AJ, van Rossum MC, MacLeod KM, Nelson SB, Turrigiano GG. Activity coregulates quantal AMPA and NMDA currents at neocortical synapses. Neuron. 2000;26:3659–70.

    Article  Google Scholar 

  44. Quintero JE, Dooley DJ, Pomerleau F, Huettl P, Gerhardt GA. Amperometric measurement of glutamate release modulation by gabapentin and pregabalin in rat neocortical slices: role of voltage-sensitive Ca2 + α2δ-1 subunit. J Pharmacol Exp Ther. 2011;338(1):240–5. https://doi.org/10.1124/jpet.110.178384

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Shumkova V, Sitdikova V, Rechapov I, Leukhin A, Minlebaev M. Effects of urethane and isoflurane on the sensory evoked response and local blood flow in the early postnatal rat somatosensory cortex. Sci Rep. 2021;11(1:9567). https://doi.org/10.1038/s41598-021-88461-8

  46. Petr GT, Sun Y, Frederick NM, Zhou Y, Dhamne SC, Hameed MQ, et al. Conditional deletion of the glutamate transporter GLT-1 reveals that astrocytic GLT-1 protects against fatal epilepsy while neuronal GLT-1 contributes significantly to glutamate uptake into synaptosomes. J Neurosci. 2015;35 13:5187–201. https://doi.org/10.1523/jneurosci.4255-14.2015

    Article  Google Scholar 

  47. Meldrum BS. Glutamate as a neurotransmitter in the brain: review of physiology and pathology. J Nutr. 2000;130. https://doi.org/10.1093/jn/130.4.1007S. 4S Suppl:1007s-15s.

  48. Rothstein JD, Martin L, Levey AI, Dykes-Hoberg M, Jin L, Wu D, et al. Localization of neuronal and glial glutamate transporters. Neuron. 1994;13 3:713–25. https://doi.org/10.1016/0896-6273(94)90038-8

    Article  Google Scholar 

  49. Tzingounis AV, Wadiche JI. Glutamate transporters: confining runaway excitation by shaping synaptic transmission. Nat Rev Neurosci. 2007;8 12:935–47. https://doi.org/10.1038/nrn2274

    Article  CAS  Google Scholar 

  50. Lehre KP, Danbolt NC. The number of glutamate transporter subtype molecules at glutamatergic synapses: chemical and stereological quantification in young adult rat brain. J Neurosci. 1998;18 21:8751–7. https://doi.org/10.1523/jneurosci.18-21-08751.1998

    Article  Google Scholar 

  51. Maragakis NJ, Rothstein JD. Glutamate transporters: animal models to neurologic disease. NeurobiolDis. 2004;15:3461–73.

    Google Scholar 

  52. Thomas TC, Beitchman JA, Pomerleau F, Noel T, Jungsuwadee P, Butterfield DA, et al. Acute treatment with doxorubicin affects glutamate neurotransmission in the mouse frontal cortex and hippocampus. Brain Res. 2017;1672:10–7. https://doi.org/10.1016/j.brainres.2017.07.003

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. Nickell J, Salvatore MF, Pomerleau F, Apparsundaram S, Gerhardt GA. Reduced plasma membrane surface expression of GLAST mediates decreased glutamate regulation in the aged striatum. NeurobiolAging. 2007;28 11:1737–48.

    Google Scholar 

  54. Hinzman JM, Thomas TC, Quintero JE, Gerhardt GA, Lifshitz J. Disruptions in the regulation of extracellular glutamate by neurons and glia in the rat striatum two days after diffuse brain injury. J Neurotrauma. 2012;29 6:1197–208. https://doi.org/10.1089/neu.2011.2261

    Article  Google Scholar 

  55. Zuo Z. Isoflurane enhances glutamate uptake via glutamate transporters in rat glial cells. NeuroReport. 2001;12 5:1077–80.

    Article  Google Scholar 

  56. Larsen M, Hegstad E, Berg-Johnsen J, Langmoen IA. Isoflurane increases the uptake of glutamate in synaptosomes from rat cerebral cortex. Br J Anaesth. 1997;78(1):55–9. https://doi.org/10.1093/bja/78.1.55

    Article  PubMed  CAS  Google Scholar 

  57. Miyazaki H, Nakamura Y, Arai T, Kataoka K. Increase of glutamate uptake in astrocytes: a possible mechanism of action of volatile anesthetics. Anesthesiology. 1997;86 6:1359–66. discussion 8A.

    Article  Google Scholar 

  58. Liachenko S, Tang P, Somogyi GT, Xu Y. Concentration-dependent isoflurane effects on depolarization-evoked glutamate and GABA outflows from mouse brain slices. Br J Pharmacol. 1999;127(1):131–8. https://doi.org/10.1038/sj.bjp.0702543

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  59. Westphalen RI, Hemmings HC Jr. Effects of isoflurane and propofol on glutamate and GABA transporters in isolated cortical nerve terminals. Anesthesiology. 2003;98(2):364–72.

    Article  PubMed  CAS  Google Scholar 

  60. Nicol B, Rowbotham DJ, Lambert DG. Glutamate uptake is not a major target site for anaesthetic agents. Br J Anaesth. 1995;75 1:61–5. https://doi.org/10.1093/bja/75.1.61

    Article  Google Scholar 

  61. Huang Y, Zuo Z. Isoflurane induces a protein kinase C alpha-dependent increase in cell-surface protein level and activity of glutamate transporter type 3. Mol Pharmacol. 2005;67 5:1522–33. https://doi.org/10.1124/mol.104.007443

    Article  CAS  Google Scholar 

  62. Torp R, Hoover F, Danbolt NC, Storm-Mathisen J, Ottersen OP. Differential distribution of the glutamate transporters GLT1 and rEAAC1 in rat cerebral cortex and thalamus: an in situ hybridization analysis. Anat Embryol (Berl). 1997;195(4):317–26. https://doi.org/10.1007/s004290050051

    Article  PubMed  CAS  Google Scholar 

  63. Höft S, Griemsmann S, Seifert G, Steinhäuser C. Heterogeneity in expression of functional ionotropic glutamate and GABA receptors in astrocytes across brain regions: insights from the thalamus. Philos Trans R Soc Lond B Biol Sci. 2014;369 1654:20130602. https://doi.org/10.1098/rstb.2013.0602

    Article  CAS  Google Scholar 

  64. Pearce RA, Stringer JL, Lothman EW. Effect of volatile anesthetics on synaptic transmission in the rat hippocampus. Anesthesiology. 1989;71 4:591–8.

    Article  Google Scholar 

  65. Larsen M, Langmoen IA. The effect of volatile anaesthetics on synaptic release and uptake of glutamate. Toxicol Lett. 1998;100–101:59–64.

    Article  PubMed  Google Scholar 

  66. Larsen M, Valo ET, Berg-Johnsen J, Langmoen IA. Isoflurane reduces synaptic glutamate release without changing cytosolic free calcium in isolated nerve terminals. Eur J Anaesthesiol. 1998;15(2):224–9.

    Article  PubMed  CAS  Google Scholar 

  67. Larsen M, Haugstad TS, Berg-Johnsen J, Langmoen IA. The effect of isoflurane on brain amino acid release and tissue content induced by energy deprivation. J Neurosurg Anesthesiol. 1998;10(3):166–70.

    Article  PubMed  CAS  Google Scholar 

  68. Holmes GL, Ben-Ari Y. A single episode of neonatal seizures permanently alters glutamatergic synapses. Ann Neurol. 2007;61 5:379–81. https://doi.org/10.1002/ana.21136

    Article  Google Scholar 

  69. Westphalen RI, Desai KM, Hemmings HC. Jr. Presynaptic inhibition of the release of multiple major central nervous system neurotransmitter types by the inhaled anaesthetic isoflurane. Br J Anaesth. 2013;110 4:592–9. https://doi.org/10.1093/bja/aes448

    Article  CAS  Google Scholar 

  70. Zimin PI, Woods CB, Kayser EB, Ramirez JM, Morgan PG, Sedensky MM. Isoflurane disrupts excitatory neurotransmitter dynamics via inhibition of mitochondrial complex I. Br J Anaesth. 2018;120 5:1019–32. https://doi.org/10.1016/j.bja.2018.01.036

    Article  CAS  Google Scholar 

  71. Hara K, Harris RA. The anesthetic mechanism of urethane: the effects on neurotransmitter-gated ion channels. AnesthAnalg. 2002;94 2:313-8, table.

  72. Bickler PE, Warner DS, Stratmann G, Schuyler JA. Gamma-aminobutyric acid-A receptors contribute to isoflurane neuroprotection in organotypic hippocampal cultures. Anesth Analg. 2003;97(2):564–71. table of contents.

    Article  PubMed  CAS  Google Scholar 

  73. Masamoto K, Fukuda M, Vazquez A, Kim SG. Dose-dependent effect of isoflurane on neurovascular coupling in rat cerebral cortex. Eur J Neurosci. 2009;30 2:242–50. https://doi.org/10.1111/j.1460-9568.2009.06812.x

    Article  Google Scholar 

  74. Garcia PS, Kolesky SE, Jenkins A. General anesthetic actions on GABA(A) receptors. Curr Neuropharmacol. 2010;8 1:2–9. https://doi.org/10.2174/157015910790909502

    Article  Google Scholar 

  75. Liu R, Ueda M, Okazaki N, Ishibe Y. Role of potassium channels in isoflurane- and sevoflurane-induced attenuation of hypoxic pulmonary vasoconstriction in isolated perfused rabbit lungs. Anesthesiology. 2001;95(4):939–46.

    Article  PubMed  CAS  Google Scholar 

  76. Liu X, Li R, Yang Z, Hudetz AG, Li SJ. Differential effect of isoflurane, medetomidine, and urethane on BOLD responses to acute levo-tetrahydropalmatine in the rat. Magn Reson Med. 2012;68 2:552–9. https://doi.org/10.1002/mrm.23243

    Article  CAS  Google Scholar 

  77. Ries CR, Puil E. Mechanism of anesthesia revealed by shunting actions of isoflurane on thalamocortical neurons. J Neurophysiol. 1999;81 4:1795–801. https://doi.org/10.1152/jn.1999.81.4.1795

    Article  Google Scholar 

  78. Woodward TJ, Timic Stamenic T, Todorovic SM. Neonatal general anesthesia causes lasting alterations in excitatory and inhibitory synaptic transmission in the ventrobasal thalamus of adolescent female rats. Neurobiol Dis. 2019;127:472–81. https://doi.org/10.1016/j.nbd.2019.01.016

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  79. Guo J, Ran M, Gao Z, Zhang X, Wang D, Li H, et al. Cell-type-specific imaging of neurotransmission reveals a disrupted excitatory-inhibitory cortical network in isoflurane anaesthesia. EBioMedicine. 2021;65:103272. https://doi.org/10.1016/j.ebiom.2021.103272

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  80. Thrane AS, Rangroo Thrane V, Zeppenfeld D, Lou N, Xu Q, Nagelhus EA, et al. General anesthesia selectively disrupts astrocyte calcium signaling in the awake mouse cortex. Proc Natl Acad Sci U S A. 2012;109 46:18974–9. https://doi.org/10.1073/pnas.1209448109

    Article  Google Scholar 

  81. Krishna G, Bromberg CE, Thomas TC. Chapter 23 - circuit reorganization after diffuse axonal injury: utility of the whisker barrel circuit. In: Rajendram R, Preedy VR, Martin CR, editors. Cellular, Molecular, physiological, and behavioral aspects of traumatic brain Injury. Academic Press; 2022. pp. 281–92.

  82. Krishna G, Beitchman JA, Bromberg CE, Currier Thomas T. Approaches to Monitor Circuit disruption after traumatic Brain Injury: frontiers in Preclinical Research. Int J Mol Sci. 2020;21:2. https://doi.org/10.3390/ijms21020588

    Article  CAS  Google Scholar 

  83. Luckl J, Keating J, Greenberg JH. Alpha-chloralose is a suitable anesthetic for chronic focal cerebral ischemia studies in the rat: a comparative study. Brain Res. 2008;1191:157–67. https://doi.org/10.1016/j.brainres.2007.11.037

    Article  PubMed  CAS  Google Scholar 

  84. Rutherford EC, Pomerleau F, Huettl P, Stromberg I, Gerhardt GA. Chronic second-by-second measures of L-glutamate in the central nervous system of freely moving rats. JNeurochem. 2007;102(3):712–22.

    Article  CAS  Google Scholar 

  85. Stephens ML, Quintero JE, Pomerleau F, Huettl P, Gerhardt GA. Age-related changes in glutamate release in the CA3 and dentate gyrus of the rat hippocampus. NeurobiolAging. 2009.

  86. Thomas TC, Grandy DK, Gerhardt GA, Glaser PE. Decreased dopamine D4 receptor expression increases extracellular glutamate and alters its regulation in mouse striatum. Neuropsychopharmacology. 2009;34(2):436–45.

    Article  PubMed  CAS  Google Scholar 

  87. Beitchman JA, Griffiths DR, Hur Y, Ogle SB, Hair CE, Morrison HW, et al. Diffuse TBI-induced expression of anxiety-like behavior coincides with altered glutamatergic function, TrkB protein levels and region-dependent pathophysiology in amygdala circuitry. bioRxiv. 2019;640078. https://doi.org/10.1101/640078

  88. Kim T, Masamoto K, Fukuda M, Vazquez A, Kim SG. Frequency-dependent neural activity, CBF, and BOLD fMRI to somatosensory stimuli in isoflurane-anesthetized rats. NeuroImage. 2010;52(1):224–33. https://doi.org/10.1016/j.neuroimage.2010.03.064

    Article  PubMed  Google Scholar 

  89. Martin C, Martindale J, Berwick J, Mayhew J. Investigating neural-hemodynamic coupling and the hemodynamic response function in the awake rat. NeuroImage. 2006;32 1:33–48. https://doi.org/10.1016/j.neuroimage.2006.02.021

    Article  Google Scholar 

  90. Zhao F, Jin T, Wang P, Kim SG. Isoflurane anesthesia effect in functional imaging studies. NeuroImage. 2007;38 1:3–4. https://doi.org/10.1016/j.neuroimage.2007.06.040

    Article  Google Scholar 

  91. Zhao F, Jin T, Wang P, Kim SG. Improved spatial localization of post-stimulus BOLD undershoot relative to positive BOLD. NeuroImage. 2007;34 3:1084–92. https://doi.org/10.1016/j.neuroimage.2006.10.016

    Article  Google Scholar 

  92. Rex TS, Boyd K, Apple T, Bricker-Anthony C, Vail K, Wallace J. Effects of repeated anesthesia containing urethane on Tumor formation and Health Scores in male C57BL/6J mice. J Am Assoc Lab Anim Sci. 2016;55 3:295–9.

    Google Scholar 

  93. Jehle T, Ehlken D, Wingert K, Feuerstein TJ, Bach M, Lagrèze WA. Influence of narcotics on luminance and frequency modulated visual evoked potentials in rats. Doc Ophthalmol. 2009;118 3:217–24. https://doi.org/10.1007/s10633-008-9160-7

    Article  Google Scholar 

  94. Bricker-Anthony C, Hines-Beard J, D’Surney L, Rex TS. Exacerbation of blast-induced ocular trauma by an immune response. J Neuroinflammation. 2014;11 1:192. https://doi.org/10.1186/s12974-014-0192-5

    Article  CAS  Google Scholar 

  95. Cox MF, Hascup ER, Bartke A, Hascup KN. Friend or foe? Defining the role of Glutamate in Aging and Alzheimer’s Disease. Front Aging. 2022;3:929474. https://doi.org/10.3389/fragi.2022.929474

    Article  PubMed  PubMed Central  Google Scholar 

  96. Hascup KN, Findley CA, Sime LN, Hascup ER. Hippocampal alterations in glutamatergic signaling during amyloid progression in AβPP/PS1 mice. Sci Rep. 2020;10 1:14503. https://doi.org/10.1038/s41598-020-71587-6

    Article  CAS  Google Scholar 

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Acknowledgments

We thank Carol Haussler for critical review of the manuscript.

Funding

This research was supported by National Institutes of Health grant (R01NS100793), Valley Research Partnership (P1201607), Phoenix Children’s Hospital-Leadership Circle Grant, PCH Mission Support Funds, Midwestern University ORSP, and Midwestern Biomedical Sciences Department funds.

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J.A.B., G.K., and T.C.T. drafted and revised the manuscript, figures, and legends. They all independently analyzed the data and contributed to the interpretation of the data. J.A.B., G.K., and C.E.B. carried out the experiments. T.C.T. designed the research and acquired funding. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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Correspondence to Theresa Currier Thomas.

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All procedures were conducted in accordance with the National Institutes of Health (NIH) Guidelines for the Care and Use of Laboratory Animals care and were approved by the University of Arizona College of Medicine-Phoenix Institutional Animal Care and Use Committee (protocol #18–384). We adhered to ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines for rigorous study design and reporting to maximize the reproducibility.

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Beitchman, J.A., Krishna, G., Bromberg, C.E. et al. Effects of isoflurane and urethane anesthetics on glutamate neurotransmission in rat brain using in vivo amperometry. BMC Neurosci 24, 52 (2023). https://doi.org/10.1186/s12868-023-00822-3

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