Glucagon-like peptide-1 (GLP-1) is a hormone that stimulates insulin secretion. Receptors for GLP-1 are also found in the brain, including the hippocampus, the center for memory and learning. Diabetes is a risk factor for decreased memory functions. We studied effects of GLP-1 and exendin-4, a GLP-1 receptor agonist, on γ-aminobutyric acid (GABA) signaling in hippocampal CA3 pyramidal neurons. GABA is the main inhibitory neurotransmitter and decreases neuronal excitability. GLP-1 (0.01–1 nmol/L) transiently enhanced synaptic and tonic currents, and the effects were blocked by exendin (9-39). Ten pmol/L GLP-1 increased both the spontaneous inhibitory postsynaptic current (sIPSC) amplitudes and frequency by a factor of  1.8. In 0.1, 1 nmol/L GLP-1 or 10, 50, or 100 nmol/L exendin-4, only the sIPSC frequency increased. The tonic current was enhanced by 0.01–1 nmol/L GLP-1 and by 0.5–100 nmol/L exendin-4. When action potentials were inhibited by tetrodotoxin (TTX), inhibitory postsynaptic currents decreased and currents were no longer potentiated by GLP-1 or exendin-4. In contrast, although the tonic current decreased in TTX, it was still enhanced by GLP-1 or exendin-4. The results demonstrate GLP-1 receptor regulation of hippocampal function and are consistent with GLP-1 receptor agonists enhancing GABAA signaling by pre- and postsynaptic mechanisms.

In recent years, compelling evidence has emerged suggesting that diabetes mellitus increases the risk for cognitive impairments in the elderly (18). How this comes about is not resolved, but interestingly, the brain contains receptors for many metabolic hormones, among those receptors for insulin and the incretins. To date, with the exception of the hypothalamus, we know relatively little about how metabolic hormones affect neuronal activity and thereby brain function. The hippocampus is central for cognitive functions and is the center for memory and learning (9,10). It has prominent expression for receptors activated by metabolic hormones (10). Furthermore, via neurons in the septum, the hippocampus regulates the activity of a number of hypothalamic nuclei (11,12). Glucagon-like peptide-1 (GLP-1) is a gut hormone that is secreted by intestinal L cells in response to food intake, and the GLP-1 receptor is expressed in the hippocampus (10,13). GLP-1 crosses the blood-brain barrier, but it is also a neurotransmitter produced by neurons with cell bodies in the brainstem (1215). The best known effects of GLP-1 are to stimulate insulin and inhibit glucagon secretion in a glucose-dependent manner in the pancreatic islets to regulate glucose homeostasis after a meal (13). Although the GLP-1 receptor is expressed in the hippocampus (10,16,17) and GLP-1 and its mimetics, e.g., exendin-4, liraglutide, might potentially be used to treat cognitive declines related to diabetes (6,7), to date not much is known about the effects of GLP-1 on neuronal signaling and, hence, how GLP-1 affects cognition and hippocampal regulation of metabolic homeostasis.

The GLP-1 is a 30–amino acid–long peptide and is derived from posttranslational processing of the preproglucagon gene (18). Initially, the peptide GLP-1 (1-37) was identified from this processing, but later it was shown that there were two shorter peptides, GLP-1 (7-37) and GLP-1 (7-36)amide, that were the active species in vivo. The half-life of the peptides in plasma is very short, only about 1–2 min (13,19), due to degradation by the enzyme dipeptidyl peptidase-4 (13). In the pancreatic islets, the GLP-1 receptor is internalized after GLP-1–induced activation (2023) and passes through recycling endosomes before it appears in the plasma membrane again (23). The GLP-1 receptor is widely distributed in the brain (10,16,24), including in the hippocampal CA3 pyramidal neurons (16,25), and GLP-1 and other agonists at the GLP-1 receptor have been reported to regulate food intake (26), be neuroprotective (27), anti-inflammatory (28), and modulate synaptic plasticity and memory formation (2832).

γ-Aminobutyric acid (GABA), the major inhibitory neurotransmitter in the central nervous system, activates synaptic and extrasynaptic GABAA receptors that mediate synaptic and tonic currents, respectively, regulating activity of neurons and neuronal circuits (33). Metabolic hormones are emerging as modulators of GABA signaling in hippocampal neurons. Already in 1984, Palovcik et al. (34) demonstrated that insulin inhibits pyramidal neurons in hippocampal slices. Later, insulin was shown to enhance miniature inhibitory postsynaptic currents (mIPSCs) in cultured hippocampal neurons (35), and recently we demonstrated that insulin turns on high-affinity GABAA receptors that generate tonic currents in hippocampal CA1 pyramidal neurons in rat brain slices (36). In the current study, we examined the effects of GLP-1 and exendin-4 on GABAA signaling in hippocampal CA3 pyramidal neurons in rat brain slices. We found that low physiological GLP-1 concentrations (pico- to nanomoles per liter) and clinically relevant exendin-4 concentrations transiently potentiate synaptic and tonic GABA-activated currents.

Hippocampal Slice Preparation

Brain slices were dissected for electrophysiological recordings from 16- to 22-day-old Wistar rats. All animal procedures were conducted in accordance with the local ethics guidelines and approved animal care protocols by the Uppsala djurförsöksetiska nämnd, Uppsala, Sweden (Uppsala Animal Ethical Board). Hippocampal slices were prepared as previously described (37). Briefly, the animal was decapitated and the brain rapidly removed and immersed into the ice-cold artificial cerebrospinal fluid (ACSF) containing (in millimoles per liter): 124 NaCl, 3 KCl, 2.5 CaCl2, 1.3 MgSO4, 26 NaHCO3, 2.5 Na2HPO4, and 10 glucose with pH 7.3–7.4 when bubbled with 95% O2 and 5% CO2. Sagittal or coronal hippocampal slices 400 µm thick were prepared with a vibratome (Leica VT1200S) in the ice-cold ACSF gassed with 95% O2 and 5% CO2. Slices were incubated in the same ACSF at 37°C for 1 h and kept at room temperature (20–22°C) during experiments.

Electrophysiological Recording and Analysis

All patch-clamp recordings were performed at room temperature (20–22°C). Drugs were in general purchased from Sigma-Aldrich (Germany) or Anaspec [GLP-1, exendin-4, and exendin (9-39)]. Bicuculline methiodide from Santa Cruz Biotechnology (Heidelberg, Germany) or Sigma-Aldrich (Schnelldorf, Germany) was used. The pipette solution contained (in millimoles per liter): 140 CsCl, 1 CaCl2, 3 EGTA, 0.5 KCl, 1 MgCl2, 2 ATP-Mg, 0.3 GTP-Na, 5 QX-314 bromide, and 10 TES, pH of 7.25 with CsOH. In some experiments, an inhibitor of the GABAB receptor, CGP52432 (5 μmol/L), was used, but it did not change the results. The recording pipettes were made from borosilicate glass capillaries (Harvard Apparatus UK) with DMZ-Universal Puller (Zeitz Instruments; Martinsried, Germany) and had resistance of 2–4 MΩ when filled with the pipette solution. The holding potential (Vh) was set to –60 mV and used in all experiments. ACSF, containing kynurenic acid (3 mmol/L) and other drugs, was continuously perfused (3 mL/min) through the recording chamber during experiments. Patch-clamp recordings were done using an Axopatch 200B amplifier (Molecular Devices), filtered at 2 kHz, sampled at 10 kHz by analog-to-digital converter Digidata 1322A (Molecular Devices), and stored in a computer. The recordings were analyzed with pClamp 10 (Molecular Devices) and MiniAnalysis 6 (Synaptosoft, Inc.) software. The amplitude of the tonic current was defined as the difference between the baseline current levels before and after the drug application (38) and the frequency of the spontaneous IPSCs (sIPSCs) immediately before first drug application was defined as control. The maximal drug effect on the sIPSC frequency was calculated and normalized to its control value in the same cell. The average value of the baseline current during the transient change in the current value during GLP-1 application was fitted with a double exponential function: y = y0 + A1 × exp(−t/τrise) − A2 × exp(−t/τdecay), where y0 and A1,2 are arbitrary constants and the τrise/decay are time constants for the rise and the decay phase of the transient current, respectively.

Total RNA Isolation and RT-PCR

Total RNA was isolated from rat hippocampal slices by using a GenElute Mammalian Total RNA Miniprep kit (Sigma-Aldrich) and quantified with Nanodrop (Nanodrop Technologies). Rat hippocampal total RNA (100 ng) was reverse transcribed into cDNA in a 20-μL reaction mixture using Superscript III reverse transcriptase (Invitrogen). Negative control was performed by omitting reverse transcriptase in the reaction in order to confirm no genomic DNA contamination in the isolated RNA. Human hippocampal cDNA was purchased from USBiological. PCRs were done in a 10-μL reaction mixture containing 4 μL cDNA (4 ng), 1× PCR buffer, 3 mmol/L MgCl2, 0.3 mmol/L deoxyribonucleotide triphosphate, 1× carboxy-X-rhodamine reference dye, 0.7 units JumpStart Taq DNA polymerase (Sigma-Aldrich), 0.5× SYBR Green I (Invitrogen), and 0.4 μmol/L each of forward and reverse primers. The primer pairs were synthesized by Sigma-Aldrich: rat Glp1r (forward, GGCATTGTCAAGTATCTCTAC; reverse, GATGAAGACAAGGAAGTTGAC; amplicon size, 123 bp) and human GLP1R (forward, ACATCAAATGCAGACTTGCC; reverse, TCACAAAGGCAAAGATGACC; amplicon size, 81 bp). Amplification was performed in 384-well optical plates using the ABI PRISM 7900HT Sequence Detection System (Applied Biosystems) with an initial denaturation of 5 min at 95°C, followed by 45 cycles of 95°C for 15 s, 60°C for 30 s, and 72°C for 30 s. A melting curve was determined at the end of cycling to ensure the amplification of a single PCR product. Five microliters of each individual PCR were then electrophorized on a 2% agarose gel stained with SYBR Gold (Invitrogen, Carlsbad, CA).

Statistical Analysis

Statistical analysis was carried out using SigmaPlot 11 (Systat Software), MiniAnalysis 6 (Synaptosoft), or GraphPad Prism 6 software. Results are presented as means ± SEM. Paired Student t test was used for data sets normally distributed. The Tukey method was used to detect the outliers. Statistical analysis was performed after excluding the outliers. Nonparametric Mann-Whitney test was used for data sets that were not normally distributed. One-way ANOVA Bonferroni post hoc test was used for multiple comparisons with normally distributed data.

The GABAA-mediated whole-cell currents were recorded from rat hippocampal CA3 pyramidal neurons bathed in ACSF in the presence of kynurenic acid. At the end of every experiment, bicuculline (100 µmol/L), a GABAA receptor antagonist, was applied to block GABA-evoked currents. The sIPSCs were abolished by 100 µmol/L bicuculline (Fig. 1) and the holding current decreased, revealing the prominent tonic GABA-activated current normally present in the hippocampal CA3 pyramidal neurons (24.7 ± 1.5 pA, n = 19) (Fig. 1). We then proceeded and examined the effects of GLP-1 on these GABAA receptor–mediated currents.

Figure 1

Inherent GABA-activated synaptic and tonic currents in hippocampal CA3 pyramidal neuron in rat brain slices. The currents are inhibited by the GABAA receptor antagonist bicuculline (100 μmol/L) application. The horizontal bar above the recording denotes the period of inhibitor application. Right: Gaussian fits to the all-point histograms of 30-s segments taken in the middle of control period and after bicuculline application. Peaks of Gaussians are denoted by horizontal dash lines: lower dash line indicates baseline current level in control condition before bicuculline application; upper dash line shows “zero” current level after adding the inhibitor. Difference between marked Gaussian peaks represents the amplitude of the GABA-activated tonic current.

Figure 1

Inherent GABA-activated synaptic and tonic currents in hippocampal CA3 pyramidal neuron in rat brain slices. The currents are inhibited by the GABAA receptor antagonist bicuculline (100 μmol/L) application. The horizontal bar above the recording denotes the period of inhibitor application. Right: Gaussian fits to the all-point histograms of 30-s segments taken in the middle of control period and after bicuculline application. Peaks of Gaussians are denoted by horizontal dash lines: lower dash line indicates baseline current level in control condition before bicuculline application; upper dash line shows “zero” current level after adding the inhibitor. Difference between marked Gaussian peaks represents the amplitude of the GABA-activated tonic current.

Close modal

GLP-1 Transiently Modulates GABA-Activated Synaptic and Tonic Currents in CA3 Pyramidal Neurons

We examined whether GLP-1 concentrations ranging from 10 pmol/L to 10 nmol/L affected the GABA-evoked currents, and representative results are shown for three cells in Fig. 2A–C. The GLP-1 receptor mRNA is expressed in both human and rat hippocampus (Fig. 2D). GLP-1 in a concentration-dependent manner transiently enhanced the synaptic and tonic GABA-activated currents in the neurons. The 10 pmol/L GLP-1 concentration was most effective and transiently increased the most frequent sIPSC amplitude by a factor of 1.8 (Fig. 3A), and the average sIPSC frequency was similarly increased (Fig. 3B) by a factor of 1.8 (n = 7) compared with control. Higher GLP-1 concentrations (100 pmol/L, 1 nmol/L, and 10 nmol/L) (Fig. 3A) did not increase the most frequent sIPSC amplitude. However, in 100 pmol/L and 1 nmol/L GLP-1, the average sIPSC frequency still increased by a factor of 1.6 (n = 6) and 1.8 (n = 5), respectively, compared with control (Fig. 3B). The tonic current in the CA3 pyramidal neurons increased when exposed to 10 pmol/L to 1 nmol/L concentrations of GLP-1 but was similar to control in 10 nmol/L GLP-1 (Fig. 3C) resulting in a bell-shaped-like concentration-response relationship. When several GLP-1 concentrations were sequentially applied to a neuron, then each new application led to a transient increase of the tonic current, which subsequently relaxed to the initial current level. Thus, the tonic current amplitude changed transiently in a GLP-1 concentration–dependent manner. Just applying the extracellular solution did not induce the transient increase in the tonic current amplitude. The amplitude was not related to whether the response was obtained after a single exposure to GLP-1 (Fig. 3C) or whether the neuron had previously been exposed to another concentration of GLP-1 (Fig. 3C).

Figure 2

GLP-1 potentiates the sIPSCs and the GABA-evoked tonic current in hippocampal CA3 pyramidal neurons. GLP-1 induced increase in frequency and amplitude of the sIPSCs (AC) and enhanced the tonic current manifested by a downward shift of the baseline current, the level indicated by the lowest dash line in AC. The baseline current level before GLP-1 application, i.e., control, is indicated by the middle dash line; the dash line on top represents “zero” current level after bicuculline application where all GABAA receptors have been inhibited. Note that starting GLP-1 concentration in A is 10 pmol/L and 0.1 nmol/L in B, and sloped lines in A indicate a break in the recording. C: An example of GABAA receptor–mediated current inhibited by applying bicuculline at the moment of maximal enhancement of the tonic current. D: GLP-1 receptor mRNA is expressed in human and rat hippocampus. Horizontal bars above the current recordings show the periods of drug applications.

Figure 2

GLP-1 potentiates the sIPSCs and the GABA-evoked tonic current in hippocampal CA3 pyramidal neurons. GLP-1 induced increase in frequency and amplitude of the sIPSCs (AC) and enhanced the tonic current manifested by a downward shift of the baseline current, the level indicated by the lowest dash line in AC. The baseline current level before GLP-1 application, i.e., control, is indicated by the middle dash line; the dash line on top represents “zero” current level after bicuculline application where all GABAA receptors have been inhibited. Note that starting GLP-1 concentration in A is 10 pmol/L and 0.1 nmol/L in B, and sloped lines in A indicate a break in the recording. C: An example of GABAA receptor–mediated current inhibited by applying bicuculline at the moment of maximal enhancement of the tonic current. D: GLP-1 receptor mRNA is expressed in human and rat hippocampus. Horizontal bars above the current recordings show the periods of drug applications.

Close modal
Figure 3

GLP-1 modulates the synaptic (sIPSCs) and the tonic GABA-activated current characteristics. A: Cumulative probability histograms of sIPSC amplitudes for different GLP-1 concentrations increased significantly in amplitudes only at 10 pmol/L GLP-1. Solid and dash lines indicate cumulative probability histograms of sIPSC amplitudes before and after GLP-1 application, respectively. Paired Student t test: *P < 0.05, n = 7 for 10 pmol/L; not significant for other GLP-1 concentrations, n = 6 for 100 pmol/L and 1 and 10 nmol/L GLP-1. B: sIPSC frequencies increased upon application of 0.01, 0.1, and 1 nmol/L GLP-1 but not 10 nmol/L. Horizontal dash line represents normalized sIPSC frequency in control for every GLP-1 concentration. Data from each group are presented as a scatter dot plot (○) with a mean and a box-and-whiskers plot with median values plotted by Tukey method to detect the outliers (● above or below the box-and-whiskers plot). Statistical analysis was performed after excluding the outliers. Nonparametric Mann-Whitney test, 0.01 nmol/L, ***P < 0.001, n = 7; 0.1 nmol/L, **P < 0.01, n = 6; 1 nmol/L, **P < 0.01, n = 5; 10 nmol/L, not significant, n = 4. C: Tonic currents in individual neurons at different GLP-1 concentrations. Values from experiments with sequential application of different GLP-1 concentrations (▲) are overlaid with values from experiments with application of a single GLP-1 concentration (○). Data from each group are presented as a scatter dot plot (○ and/or ▲) with mean ± SEM and a box-and-whiskers plot with median values plotted by Tukey method. No outliers were detected. One-way ANOVA Bonferroni post hoc test, multiple comparisons versus control group (0 nmol/L GLP-1, n = 19), ***P < 0.001, 0.01 nmol/L, n = 9; 0.1 nmol/L, n = 4; 1 nmol/L, n = 10; 10 nmol/L, n = 4.

Figure 3

GLP-1 modulates the synaptic (sIPSCs) and the tonic GABA-activated current characteristics. A: Cumulative probability histograms of sIPSC amplitudes for different GLP-1 concentrations increased significantly in amplitudes only at 10 pmol/L GLP-1. Solid and dash lines indicate cumulative probability histograms of sIPSC amplitudes before and after GLP-1 application, respectively. Paired Student t test: *P < 0.05, n = 7 for 10 pmol/L; not significant for other GLP-1 concentrations, n = 6 for 100 pmol/L and 1 and 10 nmol/L GLP-1. B: sIPSC frequencies increased upon application of 0.01, 0.1, and 1 nmol/L GLP-1 but not 10 nmol/L. Horizontal dash line represents normalized sIPSC frequency in control for every GLP-1 concentration. Data from each group are presented as a scatter dot plot (○) with a mean and a box-and-whiskers plot with median values plotted by Tukey method to detect the outliers (● above or below the box-and-whiskers plot). Statistical analysis was performed after excluding the outliers. Nonparametric Mann-Whitney test, 0.01 nmol/L, ***P < 0.001, n = 7; 0.1 nmol/L, **P < 0.01, n = 6; 1 nmol/L, **P < 0.01, n = 5; 10 nmol/L, not significant, n = 4. C: Tonic currents in individual neurons at different GLP-1 concentrations. Values from experiments with sequential application of different GLP-1 concentrations (▲) are overlaid with values from experiments with application of a single GLP-1 concentration (○). Data from each group are presented as a scatter dot plot (○ and/or ▲) with mean ± SEM and a box-and-whiskers plot with median values plotted by Tukey method. No outliers were detected. One-way ANOVA Bonferroni post hoc test, multiple comparisons versus control group (0 nmol/L GLP-1, n = 19), ***P < 0.001, 0.01 nmol/L, n = 9; 0.1 nmol/L, n = 4; 1 nmol/L, n = 10; 10 nmol/L, n = 4.

Close modal

The time course of the tonic current during the first minutes of the GLP-1 application was U shaped (Fig. 2A–C and 4A and B) and could be fitted with a double exponential function: y = y0 + A1 × exp(−t/τrise) − A2 × exp(−t/τdecay) where y0 is the initial baseline current value and A1,2 are arbitrary constants but τrise and τdecay are the time constants for the rise and the decay phase of the transient current, respectively. At all GLP-1 concentrations, the current increased with a characteristic time constant of ~2 min (τrise), and after an additional 2 min (τdecay) (Fig. 4C) the current had returned to approximately the initial current level. Both the sIPSCs and the tonic currents in the presence of GLP-1 were blocked by 100 μmol/L bicuculline (Fig. 2A–C).

Figure 4

The kinetics of the transient tonic current induced by GLP-1. A: A representative example of the transient current evoked by 10 pmol/L GLP-1 application. B: A fit to the transient current by equation 1: y = y0 + A1 × exp(−t/τrise) − A2 × exp(−t/τdecay). C: Values of time constants τrise and τdecay at different GLP-1 concentrations. One-way ANOVA on ranks; significant difference was detected for none of the pairs compared (P = 0.214); 0.01 nmol/L, n = 5; 0.1 nmol/L, n = 4; 1 nmol/L, n = 6; 10 nmol/L, n = 4.

Figure 4

The kinetics of the transient tonic current induced by GLP-1. A: A representative example of the transient current evoked by 10 pmol/L GLP-1 application. B: A fit to the transient current by equation 1: y = y0 + A1 × exp(−t/τrise) − A2 × exp(−t/τdecay). C: Values of time constants τrise and τdecay at different GLP-1 concentrations. One-way ANOVA on ranks; significant difference was detected for none of the pairs compared (P = 0.214); 0.01 nmol/L, n = 5; 0.1 nmol/L, n = 4; 1 nmol/L, n = 6; 10 nmol/L, n = 4.

Close modal

GLP-1 Receptor Antagonist Exendin (9-39) Inhibits GLP-1 Modulation of the GABA-Activated Currents

We examined whether the effects of GLP-1 on the GABA-activated synaptic and tonic currents could be prevented by a GLP-1 receptor antagonist. Exendin (9-39) (Ex9-39) is a competitive inhibitor of GLP-1 at the GLP-1 receptor (23). Since GLP-1 once bound to the GLP-1 receptor starts intracellular cascades leading to activation of various proteins, it is essential to apply the inhibitor first and only then coapply GLP-1 together with the inhibitor in order to prevent GLP-1 effects on neuronal function such as modulation of the GABA signaling. In our experiments, we therefore applied Ex9-39 first and then coapplied GLP-1 together with Ex9-39 to the brain slices. When Ex9-39 was applied to the hippocampal slices, it inhibited the effects of 10 pmol/L GLP-1 on the GABA-activated currents but had no effects when applied alone (Fig. 5). The amplitude and frequency of the synaptic currents were now similar to control currents (Fig. 5A–C), and there was no increase in the amplitude of the tonic current (Fig. 5A and D).

Figure 5

Ex9-39 inhibits GLP-1 modulation of the GABA-activated currents. A: A representative recording showing the effects of GLP-1 and Ex9-39 on the currents. B: Cumulative probability histograms of sIPSC amplitudes showed no significant difference in amplitudes. One-way ANOVA on ranks, P = 0.336, n = 5. C: Difference in frequencies of sIPSCs among control, before and after GLP-1 application in the presence of Ex9-39 was not detected. One-way ANOVA, P = 0.919, n = 5. D: Difference in tonic current amplitude among control, before and after GLP-1 application in the presence of Ex9-39 was not detected. Data from each group are presented as a scatter dot plot with mean ± SEM and a box-and-whiskers plot with median values plotted by Tukey method. No outliers were detected. One-way ANOVA, P = 0.686, n = 5. The GLP-1 and Ex9-39 concentrations used were 10 pmol/L and 100 nmol/L, respectively. Horizontal bars above the current recordings show the periods of drug applications.

Figure 5

Ex9-39 inhibits GLP-1 modulation of the GABA-activated currents. A: A representative recording showing the effects of GLP-1 and Ex9-39 on the currents. B: Cumulative probability histograms of sIPSC amplitudes showed no significant difference in amplitudes. One-way ANOVA on ranks, P = 0.336, n = 5. C: Difference in frequencies of sIPSCs among control, before and after GLP-1 application in the presence of Ex9-39 was not detected. One-way ANOVA, P = 0.919, n = 5. D: Difference in tonic current amplitude among control, before and after GLP-1 application in the presence of Ex9-39 was not detected. Data from each group are presented as a scatter dot plot with mean ± SEM and a box-and-whiskers plot with median values plotted by Tukey method. No outliers were detected. One-way ANOVA, P = 0.686, n = 5. The GLP-1 and Ex9-39 concentrations used were 10 pmol/L and 100 nmol/L, respectively. Horizontal bars above the current recordings show the periods of drug applications.

Close modal

GLP-1 Enhances the Tonic but Not the Synaptic Currents in the Presence of Tetrodotoxin

In order to examine whether the GLP-1 effects on the currents were due to pre- or postsynaptic mechanisms or both, we studied the influence of GLP-1 on the currents in the presence of the voltage-gated sodium channel blocker tetrodotoxin (TTX) (1 µmol/L). TTX inhibits action potential–dependent GABA release. The amplitudes of the synaptic currents were similar in TTX and TTX plus 10 pmol/L GLP-1 (Fig. 6A and B). The results further show that the frequency of the IPSCs decreased when the slices were exposed to TTX from 16.8 ± 1.2 to 2.3 ± 0.4 Hz (nonparametric Mann-Whitney test, P = 0.008, n = 5), respectively, and remained at a similar level in the presence of 10 pmol/L GLP-1 plus TTX (Fig. 6A and C). The results are consistent with GLP-1 potentiating the release of GABA from presynaptic terminals. The tonic current also decreased in TTX compared with control, but in contrast to the synaptic currents, the effect of GLP-1 on the tonic current was maintained (Fig. 6A and D). The tonic current transiently increased from 11.1 ± 2 pA to 22.7 ± 2.3 pA (n = 6) when the slices were exposed to GLP-1 (10 pmol/L) in the presence of TTX (Fig. 6A and D). These results demonstrate that GLP-1 signaling modulates high-affinity, extrasynaptic GABAA receptors in the plasma membrane of CA3 pyramidal neurons that generate the tonic current.

Figure 6

GLP-1 enhances the tonic but not the mIPSCs in the presence of TTX. A: A representative recording showing the effects of GLP-1 and TTX on the currents. B: Cumulative probability histograms of mIPSC amplitudes showed no significant difference in amplitudes before and after GLP-1 application in the presence of TTX. Student t test, P = 0.421, n = 5. C: Difference in frequencies of mIPSCs before and after GLP-1 application in the presence of TTX was not detected. Student t test, P = 0.726, n = 5. D: Comparison of the tonic current amplitudes before and after GLP-1 application in the absence (−) and presence (+) of TTX. Student t test, ***P < 0.001, **P < 0.01; without TTX: control, n = 19, GLP-1, n = 9; with TTX: control, n = 6, GLP-1, n = 6. The GLP-1 and TTX concentrations used were 10 pmol/L and 1 μmol/L, respectively. Horizontal bars above the current recordings show the periods of drug applications.

Figure 6

GLP-1 enhances the tonic but not the mIPSCs in the presence of TTX. A: A representative recording showing the effects of GLP-1 and TTX on the currents. B: Cumulative probability histograms of mIPSC amplitudes showed no significant difference in amplitudes before and after GLP-1 application in the presence of TTX. Student t test, P = 0.421, n = 5. C: Difference in frequencies of mIPSCs before and after GLP-1 application in the presence of TTX was not detected. Student t test, P = 0.726, n = 5. D: Comparison of the tonic current amplitudes before and after GLP-1 application in the absence (−) and presence (+) of TTX. Student t test, ***P < 0.001, **P < 0.01; without TTX: control, n = 19, GLP-1, n = 9; with TTX: control, n = 6, GLP-1, n = 6. The GLP-1 and TTX concentrations used were 10 pmol/L and 1 μmol/L, respectively. Horizontal bars above the current recordings show the periods of drug applications.

Close modal

Exendin-4 Transiently Modulates GABA-Activated Synaptic and Tonic Currents in CA3 Pyramidal Neurons

Exendin-4 is an agonist at the GLP-1 receptors. We therefore examined whether exendin-4 had effects similar to those of GLP-1 on the synaptic and tonic GABAA receptor–mediated currents in the hippocampal CA3 pyramidal neurons. Representative results for 10, 50, and 100 nmol/L exendin-4 are shown for one cell in Fig. 7A. In a concentration-dependent manner, exendin-4 transiently enhanced both the synaptic and tonic GABA-activated currents in the neurons. Exendin-4 did not increase the most frequent sIPSC amplitude (Fig. 7B), whereas the average sIPSC frequency (Fig. 7C) was enhanced by a factor of 1.4 (n = 6), 1.5 (n = 6), and 1.4 (n = 6) by 10, 50, and 100 nmol/L exendin-4, respectively, but did not change in 0.5 nmol/L exendin-4. All exendin-4 concentrations tested (0.5, 10, 50, and 100 nmol/L) transiently enhanced the tonic current in the CA3 pyramidal neurons (Fig. 8A). The time course of the tonic current enhancement by exendin-4 was U shaped. It was similar to what was recorded in GLP-1 (Fig. 7A and 8B and C) and could be fitted by equation 1 [y = y0 + A1 × exp(−t/τrise) − A2 × exp(−t/τdecay)]. Similar to tonic currents evoked by GLP-1, for all exendin-4 concentrations, the currents increased with a characteristic time constant of ~2 min (τrise) (Fig. 8D), and after an additional 2 min (τdecay) (Fig. 8D), the current had returned to approximately the initial current level. Both the sIPSCs and the tonic currents in the presence of exendin-4 were inhibited by 100 μmol/L bicuculline (Fig. 7A).

Figure 7

Exendin-4 (Ex-4) modulates the IPSCs in the CA3 pyramidal neurons. A: Changes in baseline current level and sIPSCs induced by different Ex-4 concentrations. B: Cumulative probability histograms of sIPSC amplitudes for different Ex-4 concentrations showed no significant increase in amplitudes for any of the Ex-4 concentrations tested (500 pmol/L, n = 4; 10, 50, 100 nmol/L, n = 6). Solid and dash lines indicate cumulative probability histograms of sIPSC amplitudes before and after exendin-4 application, respectively. C: sIPSC frequencies significantly increased upon application of 10, 50, and 100 but not 0.5 nmol/L exendin-4. Horizontal dash line represents normalized sIPSC frequency in control for every Ex-4 concentration. Data from each group are presented as a scatter dot plot (○) with a mean and a box-and-whiskers plot with a median value plotted by Tukey method. No outliers were detected. Nonparametric Mann-Whitney test, 10, 50, and 100 nmol/L, **P < 0.01, n = 6; 0.5 nmol/L, not significant, n = 4. Horizontal bars above the current recordings show the periods of drug applications.

Figure 7

Exendin-4 (Ex-4) modulates the IPSCs in the CA3 pyramidal neurons. A: Changes in baseline current level and sIPSCs induced by different Ex-4 concentrations. B: Cumulative probability histograms of sIPSC amplitudes for different Ex-4 concentrations showed no significant increase in amplitudes for any of the Ex-4 concentrations tested (500 pmol/L, n = 4; 10, 50, 100 nmol/L, n = 6). Solid and dash lines indicate cumulative probability histograms of sIPSC amplitudes before and after exendin-4 application, respectively. C: sIPSC frequencies significantly increased upon application of 10, 50, and 100 but not 0.5 nmol/L exendin-4. Horizontal dash line represents normalized sIPSC frequency in control for every Ex-4 concentration. Data from each group are presented as a scatter dot plot (○) with a mean and a box-and-whiskers plot with a median value plotted by Tukey method. No outliers were detected. Nonparametric Mann-Whitney test, 10, 50, and 100 nmol/L, **P < 0.01, n = 6; 0.5 nmol/L, not significant, n = 4. Horizontal bars above the current recordings show the periods of drug applications.

Close modal
Figure 8

Exendin-4 (Ex-4) enhances the tonic current in CA3 pyramidal neurons. A: Tonic current amplitudes in individual neurons at different Ex-4 concentrations. Data from each group are presented as scatter dot plot (○) with mean ± SEM and box-and-whiskers plot with median values plotted by Tukey method. No outliers were detected. Paired comparisons versus control group (0 nmol/L exendin-4, n = 12), ***P < 0.001, 0.5 nmol/L, n = 5; 10 nmol/L, n = 6 (Student t test); **P < 0.01, 50 nmol/L, n = 10; 100 nmol/L, n = 5 (nonparametric Mann-Whitney test). B: An example of the transient current evoked with 10 nmol/L exendin-4 application. C: A fit to the transient current by a double exponential function; y = y0 + A1 × exp(−t/τrise) − A2 × exp(−t/τdecay), where y0 and A1,2 are arbitrary constants and τrise/decay are time constants for the rise or the decay phase of the transient current, respectively. D: Values of time constants τrise and τdecay at different exendin-4 concentrations. One-way ANOVA; significant difference was not detected for any pairs compared (P = 0.971); 0.5 nmol/L, n = 4; 10 nmol/L, n = 6; 50 nmol/L, n = 5; 100 nmol/L, n = 5.

Figure 8

Exendin-4 (Ex-4) enhances the tonic current in CA3 pyramidal neurons. A: Tonic current amplitudes in individual neurons at different Ex-4 concentrations. Data from each group are presented as scatter dot plot (○) with mean ± SEM and box-and-whiskers plot with median values plotted by Tukey method. No outliers were detected. Paired comparisons versus control group (0 nmol/L exendin-4, n = 12), ***P < 0.001, 0.5 nmol/L, n = 5; 10 nmol/L, n = 6 (Student t test); **P < 0.01, 50 nmol/L, n = 10; 100 nmol/L, n = 5 (nonparametric Mann-Whitney test). B: An example of the transient current evoked with 10 nmol/L exendin-4 application. C: A fit to the transient current by a double exponential function; y = y0 + A1 × exp(−t/τrise) − A2 × exp(−t/τdecay), where y0 and A1,2 are arbitrary constants and τrise/decay are time constants for the rise or the decay phase of the transient current, respectively. D: Values of time constants τrise and τdecay at different exendin-4 concentrations. One-way ANOVA; significant difference was not detected for any pairs compared (P = 0.971); 0.5 nmol/L, n = 4; 10 nmol/L, n = 6; 50 nmol/L, n = 5; 100 nmol/L, n = 5.

Close modal

Exendin-4 Enhances the Tonic Current but Not the Synaptic Currents in the Presence of TTX

Similar to GLP-1, effects of exendin-4 on the GABAA receptor–activated currents might be related to either pre- or postsynaptic mechanisms or both. We therefore examined the effects of exendin-4 on the currents in the presence of TTX (1 μmol/L) that inhibits action potential–dependent transmitter release (Fig. 9A–D). The slices were first exposed to TTX to block presynaptic GABA release and then exposed to 10 nmol/L exendin-4 (Fig. 9A). The amplitudes of the synaptic currents were similar in TTX alone or TTX plus exendin-4 (Fig. 9B), but the frequency of the IPCSs decreased to 2.2 ± 0.4 Hz when the slices were exposed to TTX and remained at a similar level in the presence of 10 nmol/L exendin-4 plus TTX (n = 4) (Fig. 9C). At the same time, exendin-4 enhanced the tonic current in the presence of TTX (Fig. 9D). The results are consistent with exendin-4 enhancing GABA release from presynaptic terminals and modulating tonic currents in the postsynaptic neurons and are similar to the results obtained with GLP-1.

Figure 9

Exendin-4 (Ex-4) enhances the tonic but not the mIPSCs in the presence of TTX. A: A representative current recording from a CA3 pyramidal neuron; exendin-4, 10 nmol/L, and TTX, 1 μmol/L. Horizontal bars above the current show the periods of drug applications. B: Cumulative probability histograms of mIPSC amplitudes showed no significant difference in amplitudes before and after exendin-4 application in the presence of TTX. Student t test, P = 0.432, n = 4. C: Difference in frequencies of mIPSCs before and after exendin-4 application in the presence of TTX was not detected. Student t test, P = 0.872, n = 4. D: Tonic current amplitudes before and after 10 nmol/L exendin-4 application in the presence of TTX. Data from each group are presented as a scatter dot plot (○) with a mean ± SEM and a box-and-whiskers plot with a median value plotted by Tukey method. No outliers were detected. Student t test, *P < 0.05, n = 4. E: A cartoon illustrating GABA signaling in hippocampal neurons identifying the pre- and postsynaptic neuron, the neurotransmitter GABA, synaptic and extrasynaptic GABAA receptors (GABAAR), and the GLP-1 receptor (GLP-1R). The phasic currents (IPSCs) are mediated by synaptic GABAA receptors, and the tonic current is mediated by extrasynaptic GABAA receptors.

Figure 9

Exendin-4 (Ex-4) enhances the tonic but not the mIPSCs in the presence of TTX. A: A representative current recording from a CA3 pyramidal neuron; exendin-4, 10 nmol/L, and TTX, 1 μmol/L. Horizontal bars above the current show the periods of drug applications. B: Cumulative probability histograms of mIPSC amplitudes showed no significant difference in amplitudes before and after exendin-4 application in the presence of TTX. Student t test, P = 0.432, n = 4. C: Difference in frequencies of mIPSCs before and after exendin-4 application in the presence of TTX was not detected. Student t test, P = 0.872, n = 4. D: Tonic current amplitudes before and after 10 nmol/L exendin-4 application in the presence of TTX. Data from each group are presented as a scatter dot plot (○) with a mean ± SEM and a box-and-whiskers plot with a median value plotted by Tukey method. No outliers were detected. Student t test, *P < 0.05, n = 4. E: A cartoon illustrating GABA signaling in hippocampal neurons identifying the pre- and postsynaptic neuron, the neurotransmitter GABA, synaptic and extrasynaptic GABAA receptors (GABAAR), and the GLP-1 receptor (GLP-1R). The phasic currents (IPSCs) are mediated by synaptic GABAA receptors, and the tonic current is mediated by extrasynaptic GABAA receptors.

Close modal

The metabolic hormone GLP-1 and its mimetic exendin-4 both enhanced GABA signaling in rat hippocampal CA3 pyramidal neurons. The CA3 pyramidal neurons are regulated by a number of inhibitory interneurons and form an important part of the hippocampal neuronal circuit involved in memory formation (9). The synaptic and tonic GABA-activated currents in the CA3 pyramidal neurons were transiently enhanced by GLP-1 at physiologically relevant concentrations and by exendin-4 at concentrations relevant when treating type 2 diabetes. The effects of GLP-1 and exendin-4 on the GABA signaling can be attributed to both presynaptic and postsynaptic mechanisms. The results are consistent with GLP-1 modulating cognitive process in a hippocampal dependent manner.

There appears to be a number of ways GLP-1 and exendin-4 can enhance GABA signaling in the CA3 pyramidal neurons. The most frequent sIPSC amplitude was approximately doubled and the tonic current increased by 60% in 10 pmol/L GLP-1. These increases potentially can be attributed to a number of processes such as increased release of GABA from the presynaptic terminal, increased number of GABAA receptors in the postsynaptic membrane, increased spillover of GABA from the synaptic cleft, or insertion of new or modified GABAA receptors with higher affinity in the postsynaptic membrane (33,35,36,39). TTX inhibits voltage-gated sodium channels. In solutions containing TTX, action potential generation is inhibited resulting in decreased transmitter release from presynaptic terminals. We used TTX to differentiate between presynaptic and postsynaptic effects of GLP-1 and exendin-4 on the GABA signaling. In the presence of TTX, GLP-1 affected neither the amplitudes nor the frequency of the synaptic currents, and similarly, exendin-4 in the presence of TTX no longer modulated the frequency of the IPSCs. The enhancing effect of GLP-1 or exendin-4 on the sIPSC frequency in the absence of TTX is, therefore, related to increased release of GABA from presynaptic terminals. The effects on the tonic current were more complex. In the presence of TTX, the tonic current was reduced by ~50%. This is in accordance with at least a part of the tonic current amplitude being related to the magnitude of spillover of GABA from synapses (33,39). However, the remaining tonic current recorded in TTX was still sensitive to GLP-1 and approximately doubled in amplitude when the neurons were exposed to 10 pmol/L GLP-1, and similar results were obtained with exendin-4. These results are consistent with GLP-1 and exendin-4 modulating GABA signaling in the hippocampal CA3 neuron in a postsynaptic manner. The GABAA receptors generating the tonic current and modulated by GLP-1 receptor signaling in the postsynaptic neuron are high-affinity, extrasynaptic GABAA receptors that are activated by the very low, ambient GABA concentrations present around the neurons. Where the GABA originates from is not clear, but mechanisms involving nonvesicular release (4042) such as reversal of GABA transporters or release of GABA from astrocytes have been proposed. That pre- and postsynaptic mechanisms can regulate tonic GABAA receptor–mediated currents in hippocampal neurons is in accordance with previous reports (33,35,36,39). Interestingly, we previously reported that another metabolic hormone, insulin, can modulate high-affinity GABAA receptors in hippocampal CA1 pyramidal neurons (36). Axons from CA3 pyramidal neurons, the Schaffer collaterals, project to the CA1 pyramidal neurons where they synapse. Both the CA3 and the CA1 neurons have critical roles in hippocampal-dependent memory and learning processes (43).

Metabolic hormones are emerging as important regulators of hippocampal function (28,4447). GLP-1 has previously been shown to decrease glutamate-generated currents in cultured hippocampal neurons (48) and decrease hippocampal θ wave duration in rats (30), and there is an impairment of synaptic plasticity and memory formation in GLP-1 receptor knockout mice (49). The hippocampus is well-known for its role in memory encoding, but less focus has been on its function in governing body physiology (10,11). The hippocampus contains receptors for molecules regulating many physiological processes including receptors for the metabolic hormones (10). Furthermore, via neurons in the septum, the hippocampus maps in a topographical manner onto the hypothalamus and generally results in inhibition of hypothalamic activity (10,11). In hippocampal CA1 neurons, insulin enhances IPSCs (35) and insulin also turns on high-affinity GABAA receptors generating tonic currents in these neurons (36), which normally express very small or no tonic currents (33). GLP-1 is made in the brain stem and by L cells in the intestine and crosses the blood-brain barrier (13). In plasma, the half-life of GLP-1 is 1–2 min, and the maximal concentration after a meal is <40 pmol/L (13). Interestingly, in our experiments, 10 pmol/L GLP-1 and exendin-4 effectively enhanced the GABA-activated current response with a similar time constant of activation (2 min), an apparent synchrony with the lifetime of GLP-1 in plasma. Recently, Roed et al. (23) determined the half-maximal concentration for activation (EC50) of the GLP-1 receptor expressed in human embryonic kidney cells to be 9.8 ± 1.0 pmol/L. They further determined the EC50 of GLP-1 for inducing GLP-1 receptors internalization to be 12 ± 5 nmol/L and showed that maximal internalization level occurred with supersaturating concentrations (1 μmol/L) within 15–20 min. In the CA3 neurons in the presence of an inhibitor of the GLP-1 receptors, Ex9-39, no effects of GLP-1 on the synaptic or tonic GABA-activated currents were recorded. The activation and decay phase time constants of 2 min for the tonic current were concentration independent—similar for the two agonists and much faster than the reported rate for GLP-1 receptors internalization. The time constant of the tonic currents rising phase reflects the activation of GLP-1 receptors by the agonists, GLP-1 or exendin-4, transduction of the signal inside the neuron, and as a result, increased current through the extrasynaptic GABAA receptors in the postsynaptic plasma membrane. What the decay time constant of the tonic current represents is unclear. However, as the effect of both GLP-1 and exendin-4 on the synaptic currents was transient, it is possible that the decay of the responses is related to desensitization of the GLP-1 receptors (50).

Midlife type 2 diabetes increases the likelihood for cognitive decline and brain atrophy (1,2). A number of studies published to date indicate that diabetes and poor glycemic control are significant risk factors for decreased memory functions later in life (18). GLP-1 receptor agonists, e.g., exendin-4, liraglutide, are reported to be neuroprotective and possible rescue cognition in models of Alzheimer, Parkinson, and Huntington disease (7,51). Cognitive decline appears to be a significant complication associated with diabetes, and it is therefore of major interest to characterize the effects of molecules activating the GLP-1 receptor in hippocampal brain tissue, as these compounds may potentially reverse or slow down the decline. Our results show that exendin-4 application effectively mimics the GLP-1 effects on the GABAA signaling in the CA3 pyramidal neurons, but the modulation varies somewhat between the two GLP-1 receptor agonists, e.g., the sIPSC amplitudes were not enhanced by any of exendin-4 concentrations that we used in this study, whereas the sIPSC amplitudes were enhanced by 10 pmol/L GLP-1.

In conclusion, the results demonstrate that both GLP-1 and exendin-4 effectively potentiate GABAergic signaling in hippocampal CA3 pyramidal neurons. Figure 9E shows a cartoon with pre- and postsynaptic neuronal terminals and the synapse and identifies the location of the different receptors. It also shows where the GABA-evoked currents that are modified by the GLP-1 receptor agonists are generated. At physiological GLP-1 concentrations, both synaptic and tonic GABA-activated currents were transiently enhanced, and the effects were blocked by Ex9-39. The results demonstrate that GLP-1 and exendin-4 modulate GABA signaling in hippocampal neurons in both pre- and postsynaptic manners. The results imply that in order to combat diabetes-associated cognitive dysfunction with GLP-1 or medicines that mimic GLP-1 actions, e.g., exendin-4, a good understanding of GLP-1 receptor agonist effects on hippocampal neuronal functions is desirable. Furthermore, hippocampal-dependent learning and memory mechanisms may potentially contribute directly to control of energy homeostasis by regulating hypothalamic function. In order to elucidate the interplay between cognitive function and diabetes, more studies of regulation of hippocampal function by metabolic hormones are required.

Acknowledgments. The authors thank Amol Bhandage and Frida Lindberg (Neuroscience, Uppsala University) for help with the RT-PCR experiments.

Funding. This work was supported by a grant from the Swedish Research Council to B.B. and a grant from Åke Wibergs Foundation to Z.J. S.V.K. held a postdoctoral fellowship from EXODIAB, and Z.J. held a postdoctoral fellowship from M.Å.H. Ländells foundation and M. Sjöströms Foundation.

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. S.V.K. designed the experiments, performed the experiments, analyzed data, made the figures, performed the statistical analysis, and wrote the manuscript. Z.J. designed the experiments, performed the experiments, and edited the manuscript. O.B. performed the experiments. B.B. designed the experiments and wrote the manuscript. B.B. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

1.
Roberts
RO
,
Knopman
DS
,
Przybelski
SA
, et al
.
Association of type 2 diabetes with brain atrophy and cognitive impairment
.
Neurology
2014
;
82
:
1132
1141
[PubMed]
2.
Tuligenga
RH
,
Dugravot
A
,
Tabák
AG
, et al
.
Midlife type 2 diabetes and poor glycaemic control as risk factors for cognitive decline in early old age: a post-hoc analysis of the Whitehall II cohort study
.
Lancet Diabetes Endocrinol
2014
;
2
:
228
235
[PubMed]
3.
Marder TJ, Flores VL, Bolo NR, et al. Task-induced brain activity patterns in type 2 diabetes: a potential biomarker for cognitive decline. Diabetes. 4 April 2014 [Epub ahead of print]
[PubMed]
4.
Zhou
X
,
Zhang
J
,
Chen
Y
, et al
.
Aggravated cognitive and brain functional impairment in mild cognitive impairment patients with type 2 diabetes: a resting-state functional MRI study
.
J Alzheimers Dis
2014
;
41
:
925
935
[PubMed]
5.
Qiu
C
,
Sigurdsson
S
,
Zhang
Q
, et al
.
Diabetes, markers of brain pathology and cognitive function: the Age, Gene/Environment Susceptibility-Reykjavik Study
.
Ann Neurol
2014
;
75
:
138
146
[PubMed]
6.
Patrone
C
,
Eriksson
O
,
Lindholm
D
.
Diabetes drugs and neurological disorders: new views and therapeutic possibilities
.
Lancet Diabetes Endocrinol
2014
;
2
:
256
262
[PubMed]
7.
Duarte AI, Candeias E, Correia SC, et al. Crosstalk between diabetes and brain: glucagon-like peptide-1 mimetics as a promising therapy against neurodegeneration. Biochim Biophys Acta 2013;1832:527–541
8.
Biessels
GJ
,
Strachan
MW
,
Visseren
FL
,
Kappelle
LJ
,
Whitmer
RA
.
Dementia and cognitive decline in type 2 diabetes and prediabetic stages: towards targeted interventions
.
Lancet Diabetes Endocrinol
2014
;
2
:
246
255
[PubMed]
9.
Deuker
L
,
Doeller
CF
,
Fell
J
,
Axmacher
N
.
Human neuroimaging studies on the hippocampal CA3 region - integrating evidence for pattern separation and completion
.
Front Cell Neurosci
2014
;
8
:
64
[PubMed]
10.
Lathe
R
.
Hormones and the hippocampus
.
J Endocrinol
2001
;
169
:
205
231
[PubMed]
11.
Risold
PY
,
Swanson
LW
.
Structural evidence for functional domains in the rat hippocampus
.
Science
1996
;
272
:
1484
1486
[PubMed]
12.
Davidson
TL
,
Kanoski
SE
,
Schier
LA
,
Clegg
DJ
,
Benoit
SC
.
A potential role for the hippocampus in energy intake and body weight regulation
.
Curr Opin Pharmacol
2007
;
7
:
613
616
[PubMed]
13.
Holst
JJ
.
The physiology of glucagon-like peptide 1
.
Physiol Rev
2007
;
87
:
1409
1439
[PubMed]
14.
Orci
L
,
Pictet
R
,
Forssmann
WG
,
Renold
AE
,
Rouiller
C
.
Structural evidence for glucagon producing cells in the intestinal mucosa of the rat
.
Diabetologia
1968
;
4
:
56
67
[PubMed]
15.
Jin
SL
,
Han
VK
,
Simmons
JG
,
Towle
AC
,
Lauder
JM
,
Lund
PK
.
Distribution of glucagonlike peptide I (GLP-I), glucagon, and glicentin in the rat brain: an immunocytochemical study
.
J Comp Neurol
1988
;
271
:
519
532
[PubMed]
16.
Merchenthaler
I
,
Lane
M
,
Shughrue
P
.
Distribution of pre-pro-glucagon and glucagon-like peptide-1 receptor messenger RNAs in the rat central nervous system
.
J Comp Neurol
1999
;
403
:
261
280
[PubMed]
17.
Hamilton
A
,
Hölscher
C
.
Receptors for the incretin glucagon-like peptide-1 are expressed on neurons in the central nervous system
.
Neuroreport
2009
;
20
:
1161
1166
[PubMed]
18.
Mojsov
S
,
Heinrich
G
,
Wilson
IB
,
Ravazzola
M
,
Orci
L
,
Habener
JF
.
Preproglucagon gene expression in pancreas and intestine diversifies at the level of post-translational processing
.
J Biol Chem
1986
;
261
:
11880
11889
[PubMed]
19.
Vilsbøll
T
,
Agersø
H
,
Krarup
T
,
Holst
JJ
.
Similar elimination rates of glucagon-like peptide-1 in obese type 2 diabetic patients and healthy subjects
.
J Clin Endocrinol Metab
2003
;
88
:
220
224
[PubMed]
20.
Widmann
C
,
Dolci
W
,
Thorens
B
.
Agonist-induced internalization and recycling of the glucagon-like peptide-1 receptor in transfected fibroblasts and in insulinomas
.
Biochem J
1995
;
310
:
203
214
[PubMed]
21.
Widmann
C
,
Dolci
W
,
Thorens
B
.
Desensitization and phosphorylation of the glucagon-like peptide-1 (GLP-1) receptor by GLP-1 and 4-phorbol 12-myristate 13-acetate
.
Mol Endocrinol
1996
;
10
:
62
75
[PubMed]
22.
Widmann
C
,
Dolci
W
,
Thorens
B
.
Internalization and homologous desensitization of the GLP-1 receptor depend on phosphorylation of the receptor carboxyl tail at the same three sites
.
Mol Endocrinol
1997
;
11
:
1094
1102
[PubMed]
23.
Roed
SN
,
Wismann
P
,
Underwood
CR
, et al
.
Real-time trafficking and signaling of the glucagon-like peptide-1 receptor
.
Mol Cell Endocrinol
2014
;
382
:
938
949
[PubMed]
24.
Richards
P
,
Parker
HE
,
Adriaenssens
AE
, et al
.
Identification and characterization of GLP-1 receptor-expressing cells using a new transgenic mouse model
.
Diabetes
2014
;
63
:
1224
1233
[PubMed]
25.
Isacson
R
,
Nielsen
E
,
Dannaeus
K
, et al
.
The glucagon-like peptide 1 receptor agonist exendin-4 improves reference memory performance and decreases immobility in the forced swim test
.
Eur J Pharmacol
2011
;
650
:
249
255
[PubMed]
26.
Tang-Christensen
M
,
Vrang
N
,
Larsen
PJ
.
Glucagon-like peptide 1(7-36) amide’s central inhibition of feeding and peripheral inhibition of drinking are abolished by neonatal monosodium glutamate treatment
.
Diabetes
1998
;
47
:
530
537
[PubMed]
27.
During
MJ
,
Cao
L
,
Zuzga
DS
, et al
.
Glucagon-like peptide-1 receptor is involved in learning and neuroprotection
.
Nat Med
2003
;
9
:
1173
1179
[PubMed]
28.
Campbell
JE
,
Drucker
DJ
.
Pharmacology, physiology, and mechanisms of incretin hormone action
.
Cell Metab
2013
;
17
:
819
837
[PubMed]
29.
Ma
T
,
Du
X
,
Pick
JE
,
Sui
G
,
Brownlee
M
,
Klann
E
.
Glucagon-like peptide-1 cleavage product GLP-1(9-36) amide rescues synaptic plasticity and memory deficits in Alzheimer’s disease model mice
.
J Neurosci
2012
;
32
:
13701
13708
[PubMed]
30.
Oka
JI
,
Goto
N
,
Kameyama
T
.
Glucagon-like peptide-1 modulates neuronal activity in the rat’s hippocampus
.
Neuroreport
1999
;
10
:
1643
1646
[PubMed]
31.
Porter
D
,
Faivre
E
,
Flatt
PR
,
Hölscher
C
,
Gault
VA
.
Actions of incretin metabolites on locomotor activity, cognitive function and in vivo hippocampal synaptic plasticity in high fat fed mice
.
Peptides
2012
;
35
:
1
8
[PubMed]
32.
Iwai
T
,
Suzuki
M
,
Kobayashi
K
,
Mori
K
,
Mogi
Y
,
Oka
J
.
The influences of juvenile diabetes on memory and hippocampal plasticity in rats: improving effects of glucagon-like peptide-1
.
Neurosci Res
2009
;
64
:
67
74
[PubMed]
33.
Semyanov
A
,
Walker
MC
,
Kullmann
DM
,
Silver
RA
.
Tonically active GABA A receptors: modulating gain and maintaining the tone
.
Trends Neurosci
2004
;
27
:
262
269
[PubMed]
34.
Palovcik
RA
,
Phillips
MI
,
Kappy
MS
,
Raizada
MK
.
Insulin inhibits pyramidal neurons in hippocampal slices
.
Brain Res
1984
;
309
:
187
191
[PubMed]
35.
Wan
Q
,
Xiong
ZG
,
Man
HY
, et al
.
Recruitment of functional GABA(A) receptors to postsynaptic domains by insulin
.
Nature
1997
;
388
:
686
690
[PubMed]
36.
Jin
Z
,
Jin
Y
,
Kumar-Mendu
S
,
Degerman
E
,
Groop
L
,
Birnir
B
.
Insulin reduces neuronal excitability by turning on GABA(A) channels that generate tonic current
.
PLoS ONE
2011
;
6
:
e16188
[PubMed]
37.
Birnir
B
,
Everitt
AB
,
Gage
PW
.
Characteristics of GABAA channels in rat dentate gyrus
.
J Membr Biol
1994
;
142
:
93
102
[PubMed]
38.
Bai
D
,
Zhu
G
,
Pennefather
P
,
Jackson
MF
,
MacDonald
JF
,
Orser
BA
.
Distinct functional and pharmacological properties of tonic and quantal inhibitory postsynaptic currents mediated by gamma-aminobutyric acid(A) receptors in hippocampal neurons
.
Mol Pharmacol
2001
;
59
:
814
824
[PubMed]
39.
Farrant
M
,
Nusser
Z
.
Variations on an inhibitory theme: phasic and tonic activation of GABA(A) receptors
.
Nat Rev Neurosci
2005
;
6
:
215
229
[PubMed]
40.
Rossi
DJ
,
Hamann
M
,
Attwell
D
.
Multiple modes of GABAergic inhibition of rat cerebellar granule cells
.
J Physiol
2003
;
548
:
97
110
[PubMed]
41.
Richerson
GB
,
Wu
Y
.
Dynamic equilibrium of neurotransmitter transporters: not just for reuptake anymore
.
J Neurophysiol
2003
;
90
:
1363
1374
[PubMed]
42.
Kozlov
AS
,
Angulo
MC
,
Audinat
E
,
Charpak
S
.
Target cell-specific modulation of neuronal activity by astrocytes
.
Proc Natl Acad Sci U S A
2006
;
103
:
10058
10063
[PubMed]
43.
Amaral
DG
,
Witter
MP
.
The three-dimensional organization of the hippocampal formation: a review of anatomical data
.
Neuroscience
1989
;
31
:
571
591
[PubMed]
44.
Benedict
C
,
Hallschmid
M
,
Schultes
B
,
Born
J
,
Kern
W
.
Intranasal insulin to improve memory function in humans
.
Neuroendocrinology
2007
;
86
:
136
142
[PubMed]
45.
Tschritter
O
,
Hennige
AM
,
Preissl
H
, et al
.
Cerebrocortical beta activity in overweight humans responds to insulin detemir
.
PLoS ONE
2007
;
2
:
e1196
[PubMed]
46.
Rönnemaa
E
,
Zethelius
B
,
Sundelöf
J
, et al
.
Impaired insulin secretion increases the risk of Alzheimer disease
.
Neurology
2008
;
71
:
1065
1071
[PubMed]
47.
McClean
PL
,
Gault
VA
,
Harriott
P
,
Hölscher
C
.
Glucagon-like peptide-1 analogues enhance synaptic plasticity in the brain: a link between diabetes and Alzheimer’s disease
.
Eur J Pharmacol
2010
;
630
:
158
162
[PubMed]
48.
Gilman
CP
,
Perry
T
,
Furukawa
K
,
Grieg
NH
,
Egan
JM
,
Mattson
MP
.
Glucagon-like peptide 1 modulates calcium responses to glutamate and membrane depolarization in hippocampal neurons
.
J Neurochem
2003
;
87
:
1137
1144
[PubMed]
49.
Abbas
T
,
Faivre
E
,
Hölscher
C
.
Impairment of synaptic plasticity and memory formation in GLP-1 receptor KO mice: Interaction between type 2 diabetes and Alzheimer’s disease
.
Behav Brain Res
2009
;
205
:
265
271
[PubMed]
50.
Luttrell
LM
,
Lefkowitz
RJ
.
The role of beta-arrestins in the termination and transduction of G-protein-coupled receptor signals
.
J Cell Sci
2002
;
115
:
455
465
[PubMed]
51.
McClean PL, Holscher C. Liraglutide can reverse memory impairment, synaptic loss and reduce plaque load in aged APP/PS1 mice, a model of Alzheimer's disease. Neuropharmacology 2014;76:57–67