Abstract
Trace amine-associated receptor 1 (TAAR1) is a G-protein coupled receptor with affinity for the trace amines. TAAR1 agonists have pro-cognitive, antidepressant-, and antipsychotic-like properties in both rodents and non-human primates (NHPs). TAAR1 agonism also increases wakefulness and suppresses rapid-eye movement (REM) sleep in mice and rats and reduces cataplexy in two mouse models of narcolepsy. We investigated the effects of TAAR1 agonism in Cynomolgus macaques, a diurnal species that exhibits consolidated night-time sleep, and evaluated the effects of TAAR1 agonists on cognition using a working memory (WM) paradigm in this species. Adult male Cynomolgus macaques (n = 6) were surgically implanted to record the electroencephalogram (EEG), electromyogram, and locomotor activity (LMA) and the efficacy of the TAAR1 partial agonist RO5263397 (0.1,1,10 mg/kg, p.o.) on sleep/wake, EEG spectra, and LMA was determined. In a second experiment, the acute effects of RO5263397 (0.1,1,10 mg/kg, p.o.) were assessed on a delayed-match-to-sample test of WM in adult male macaques (n = 7). RO5263397 (10 mg/kg) administered at lights off, when sleep pressure was high, promoted wakefulness and reduced both REM and non-REM sleep without inducing hyperlocomotion. RO5263397 (10 mg/kg) also increased delta/theta activity during all vigilance states. RO5263397 had no effect on WM at either short (2 sec) or long (10 sec) delay intervals. The wake-enhancing and REM-suppressing effects of R05263397 shown here in a diurnal primate are consistent with previous results in nocturnal rodents. These effects and the associated alterations in EEG spectra occurred without inducing hyperlocomotion or affecting WM, encouraging further study of TAAR1 agonists as potential narcolepsy therapeutics.
Subject terms: Sleep, Wakefulness, REM sleep
Introduction
Trace amines (TAs), such as β-phenylethylamine (PEA), p-tyramine, octopamine, and tryptamine, represent a group of endogenous amines closely related to the classical biogenic amines [1–3]. TAs, synthesized in neuronal terminals from the same amino acid precursors as dopamine (DA), noradrenaline (NE), and serotonin (5-HT) by aromatic L-amino acid decarboxylase (AADC), are co-localized and co-released with biogenic amine transmitters and rapidly metabolized by monoamine oxidase (MAO) A and B [3]. TAs are endogenous ligands for trace amine-associated receptor 1 (TAAR1), a G-protein coupled receptor (GPCR) that negatively modulates monoaminergic and glutamatergic activity [4–6]. TAAR1 is expressed in cortical, midbrain, and limbic forebrain regions important for behavioral arousal and motivation [5, 7, 8]. Selective TAAR1 full and partial agonists have been shown to exhibit pro-cognitive, antidepressant, antipsychotic-like in rodents and non-human primates (NHPs) [9, 10]. In addition, TAAR1 partial agonists also have been shown to increase wakefulness and suppress Rapid Eye Movement (REM) sleep in both rats [9, 10] and mice [11] dose-dependently and to reduce cataplexy in two mouse models of narcolepsy [12].
Although TAAR1 agonists increase vigilance in rodents, these animals are nocturnal and have polyphasic sleep/wake cycles in comparison to the consolidated periods of sleep and wakefulness characteristic of both humans and NHPs. Among NHPs, sleep/wake patterns have previously been studied in squirrel monkeys [13, 14], rhesus macaques [15–18], juvenile, and adult Cynomolgus macaques [15–21] and other species [22]. The similar sleep/wake architecture of NHPs and humans has resulted in testing of preclinical compounds in NHPs for efficacy as well as safety prior to initiation of clinical studies [18, 23]. In a recent study, we demonstrated that the adenosine receptor antagonist caffeine enhanced wakefulness nearly four-fold during the dark phase with consequent reductions in both non-rapid eye movement (NREM) and REM sleep, decreased slow wave activity (SWA) during wakefulness, and increased higher electroencephalographic (EEG) frequency activity during NREM sleep in adult Cynomolgus macaques [21].
The prefrontal cortex is critical for cognitive processes such as executive function and working memory (WM), and both processes rely heavily on monoaminergic arousal systems. The functional relationship between TAAR1 and the monoamines [7, 8, 24] led us to previously investigate the effects of TAAR1 agonists on executive function (e.g., response inhibition, planning), and our results showed an improvement in this domain in both NHPs and in rodents [9, 10]. Given the involvement TAAR1 in regulating dopamine release [7, 8], it was of interest to investigate additional PFC-mediated cognitive domains sensitive to monoaminergic tone that can be affected under conditions of disease, aging, and stress.
Since TAAR1 agonists have been shown to alter sleep/wake activity and EEG spectral composition in rodents, here we assessed the acute effects of the TAAR1 partial agonist, RO5263397, on nocturnal sleep/wake activity in middle-aged, adult (9–11 years) Cynomolgus macaques, a diurnal species that exhibit consolidated night-time sleep. We also extended our evaluation of RO5263397, tested at the same doses, to investigate WM, a cognitive domain that has not been assessed previously in this species with a TAAR1 agonist.
Materials and methods
All experimental procedures were approved by the Institutional Animal Care and Use Committee at SRI International and in compliance with National Institutes of Health guidelines for the care and use of laboratory animals. Details are described in Supplemental Information.
Animals
Adult male cynomolgus macaques (Macaca fascicularis; 7–10 kg) were maintained in constant environmental conditions (temperature 21 ± 3 °C; humidity 30–70%; 12:12 h light:dark cycle with lights on at 06:00 and off at 18:00). All animals received a full daily regimen of standard certified commercial chow (Purina Animal Nutrition, Gray Summit, MO) supplemented with fresh fruits and vegetables and had access to water ad libitum in their home cage. Animals were individually housed but had visual, auditory and olfactory contact with other monkeys throughout the study. Videos and music were played in the housing room to provide environmental enrichment during the day.
Surgical procedures
Animals were fully anesthetized [telazole (4 mg/kg, i.m.) and 1% isoflurane] and a disk-shaped telemetry transmitter (D70-EEE; DSI, St-Paul, MN) was placed between the internal oblique muscle and the aponeurosis of the transverse abdominis muscle as described previously [21]. EEG wires from the transmitter were placed in the left and right frontal cortices according to the 10–20 system in humans and referenced to electrodes placed over the occipital cortex [Fp1 (left)/Fp2 (right): AP +18.0 mm, ML ±15.0 mm; Oz reference: AP −22.0 mm, ML ±3.0 mm (left/right) from bregma]. Stainless steel screws were inserted until the tips were estimated to touch the dura mater and the exposed EEG wire tips were wrapped around the four screws; silver epoxy was then applied over the wire/screws to ensure good electrical conductivity. Once the epoxy was fully dried (~15–20 min), all wires/screws were insulated with dental cement (FuliCEM resin modified glass ionomer cement; Net 32 Inc., Cary, NC). Electromyographic (EMG) electrodes connected to the transmitter were implanted bilaterally into the superficial neck musculature (trapezius). All animals received perioperative anesthetic monitoring, postoperative analgesia for ≥72 h, antibiotics for 10–14 days, and were allowed a minimum of 21 days recovery period before experiments.
Electrophysiological and locomotor activity recording
Telemetry receiver boards (RPC-1; DSI, St. Paul, MN) were mounted individually to each home cage to facilitate real-time EEG/EMG recording. Continuous acquisition of the EEG and EMG telemetry signals occurred at a sampling rate of 500 Hz using DataQuest A.R.T. (version 4.36; DSI); the frequency range of the D70-EEE telemetry transmitters was 0.3–100 Hz. Locomotor activity (LMA) (counts/15 sec) was collected through Actical accelerometers (Philips Respironics, NV) that were attached to each animal’s collar. All data are presented according to Zeitgeber Time (ZT) in which ZT0 = lights on and ZT12 = lights off.
Experimental design and dosing procedures
Animals were acclimated to the dosing procedure for multiple sessions with 0.3% Tween 80 in sterile water (po) prior to start of each experiment. Two experiments were conducted:
Experiment 1: acute effects of TAAR1 partial agonist, RO5263397 on sleep/wake during the initial 6 h of the dark phase
In this experiment, the acute effects of RO5263397 (0.1, 1, and 10 mg/kg, p.o.; dose volume: 2.5 ml/kg) and vehicle (0.3% Tween 80 in sterile water) administered 30 min prior to lights-off on EEG, EMG, and LMA were assessed in six macaques during the initial 6 h of the dark phase. The doses of RO5263397 (synthesized at Roche) were chosen based on a previous study [10]. Since animals were housed and recorded in the same room, the delivery of each dose was not randomized: to avoid the potential sleep disruption due to different treatment conditions (e.g., interference of sleep in vehicle-treated animals by wakefulness induced in R05263397-treated animals), all animals received the same dose on any given night. A 7 d washout period elapsed between treatments.
Experiment 2: effects of TAAR1 partial agonist RO5263397 on a DMTS working memory task
In this experiment, the effects of RO5263397 (0, 0.1, 1, 10 mg/kg, p.o.) on Delayed-match-to-sample (DMTS) performance were assessed in a separate cohort of seven adult male macaques 30 min after administration at ZT3. As in Experiment 1, a 7-day washout period was allowed between treatments.
Vigilance state analysis
Vigilance states were determined by visual inspection of EEG and EMG signals using Profusion (Compumedics USA, Charlotte, NC) according to the American Academy of Sleep Medicine (AASM) guidelines for human sleep scoring [25, 26] and adapted for cynomolgus macaques as described previously [21]. Trained investigators classified each 30 sec epoch as one of five states: WAKE, NREM sleep stages N1, N2, or N3, or REM sleep. WAKE was scored when >50% of the epoch consisted of alpha (8–13 Hz) activity or low amplitude, mixed frequency (2–7 Hz) activity, and active EMG. N1 (Stage 1) was scored when 50% of the epoch consisted of relatively low amplitude, mixed frequency (2–7 Hz) activity and <50% of the epoch contained alpha (8–13 Hz) activity accompanied with lower EMG activity. N2 (Stage 2) was scored when K-complexes (1–2 Hz isolated waves) and/or sleep spindles (regular 12–16 Hz EEG sequences) were observed and <20% of the epoch contained high amplitude (>75 µV), low frequency (1–4 Hz) activity. N3 (Stages 3 + 4) was scored when ≥20% of the epoch consisted of high amplitude (>75 µV), low frequency (1–4 Hz) EEG waves (i.e., slow wave activity). REM was scored when the epoch contained relatively low voltage, mixed frequency activity with predominant theta activity (4–9 Hz) accompanied with low EMG activity (i.e., atonia). Epochs with prominent muscular artifacts were identified and excluded from subsequent EEG spectral analysis as described below.
EEG spectral analysis
Spectral analysis of EEG data was computed offline using a Fast Fourier transform algorithm (MATLAB, Natick, MA) on all epochs without artifacts. Fourier analysis was limited to frequencies <100 Hz due to the frequency bandwidth of the D70-EEE transmitters. Contiguous frequencies were binned into standard frequency bands (delta: 0.3–4 Hz; theta: 4–8 Hz; alpha: 8–12 Hz; sigma: 12–16 Hz; beta: 16–30 Hz; low gamma: 30–50Hz and high gamma: 50–100 Hz). Artifact removal proceeded as described previously [21]. For Experiment 1, the F25, F50, and F75 values were calculated for each animal (where F = total EEG power of a 6-sec sub-epoch and F25, F50, and F75 refer to the 25th, 50th, and 75th percentiles of the total distribution of EEG power values) during the initial dark phase following vehicle treatment and then applied to all 6 sec sub-epochs for both vehicle and RO5263397 conditions.
Spectral data for each 30 sec epoch was comprised of the average of all artifact-free 6 sec sub-epochs. Thereafter, the artifact-free absolute power following each of the RO5263397 treatments was normalized to each animal’s average power following vehicle measured during the initial 6-h of the dark phase. Subsequently, the mean normalized power for each frequency band (delta, theta, alpha, sigma, beta, low gamma and high gamma) within each vigilance state (WAKE, NREM and REM) was calculated for each animal before group analyses occurred. Overall, 9.4 ± 1.2, 9.5 ± 1.1, 7.7 ± 1.5, and 11.3 ± 2.9% of the epochs were removed as artifact from the recordings of the vehicle, 0.1, 1, and 10 mg/kg RO5263397-treated animals, respectively.
Delayed-match-to-sample paradigm
Macaques (n = 7) were seated in standard restraint chairs and placed into sound-attenuated chambers equipped with a monitor delivering visual stimuli (Cambridge Neuropsychological Test Automated Battery (CANTAB] ver. 9.4; Lafayette Instruments, Lafayette, IN) as described previously [27]. For this test, monkeys were presented with a single sample stimulus consisting of a complex pixelated pattern comprised of four colors in the center of the screen that they must touch to begin the trial. In order to receive a food reward (190 mg banana pellet, Newco Distributors, Hayward, CA), the monkey had to correctly select the sample stimulus in the choice phase following a 2 or 10 sec delay while a distractor stimulus was simultaneously presented. The distractor stimulus consisted of a stimulus comprised of the same colors but organized in a slightly different pattern. Each test session included 100 trials with a 2-sec inter-trial interval. The outcome measures were correct choices, correct choice reaction times, and omissions. While all correct responses were rewarded with a food pellet, incorrect responses and omissions were followed by a 10-sec time-out period, during which the houselights were turned off and the animal was unable to earn a pellet. The use of two delay times provided a dynamic range to determine whether improvements and/or impairments in DMTS performance occurred following administration of RO5263397.
Data analyses
For Experiment 1, the duration of each vigilance state was calculated across the initial 6 h of the dark phase, both cumulatively and on an hourly basis (percent time). Sleep efficiency (%), sleep onset latency (SOL), REM onset latency (ROL), wake after sleep onset (WASO), the number of awakenings, REM/NREM sleep ratios, and the number of NREM/REM cycles were calculated as described previously [21] and in Supplementary Information. Hourly LMA averages (counts/15 sec) were assessed for each treatment and the mean actograms were calculated by summing all the counts per 15 sec sample and dividing by the number of 15 sec samples within the 6 h period.
For Experiment 2, once animals achieved the performance criteria (i.e., accuracy of ≥75% at both delays for three consecutive sessions), the mean accuracy (i.e., correct choice trials/total number of trials × 100), mean ‘choice’ reaction time (i.e., reaction time for all correct choice trials) and mean number of omissions (i.e., all trials the animal failed to respond to sample stimuli) were assessed following all treatments.
Statistical analysis
Data were analyzed using SigmaPlot (Systat Software Inc., San Jose, CA). All animals received all treatment conditions in Experiments 1 and 2. For Experiment 1, statistical significance was assessed on the group means for all sleep/wake parameters and LMA during the initial 6 h of the dark phase (18:30–00:30) following all treatments using one-way repeated measures (RM) ANOVAs followed by individual paired t-tests of treatment vs. the vehicle condition. The hourly percent time spent in WAKE, NREM, and REM was compared using two-way RM ANOVAs (factor 1: treatment; factor 2: time) followed by pairwise multiple comparison (Fisher) tests. Similarly, one-way RM ANOVAs followed by individual paired t-tests between vehicle and all RO5263397 treatments were conducted independently for each frequency band for normalized power spectra.
For Experiment 2, overall accuracy (% correct), choice reaction time and the number of omissions were assessed with two-way RM ANOVAs (factor 1: treatment; factor 2: delay) followed by pairwise multiple comparison (Fisher) tests. All data are represented as mean ± SEM. In all cases, significance was defined as p ≤ 0.05; normality tests were conducted for all experiments.
Results
Experiment 1: acute effects of TAAR1 partial agonist RO5263397 on sleep/wake during the initial 6 h of the dark phase
The average LMA collected from macaques (n = 6) recorded in their home cages from ZT7 to ZT18 indicated a clear diurnal pattern with the highest activity levels during the light phase; activity was essentially non-existent during the dark phase following vehicle and all RO5263397 treatments (Fig. 1a). For LMA, a main effect of time (F5,75 = 2.659, p < 0.05) was evident without an effect of treatment or a treatment × time interaction.
Although LMA in their home cages was unchanged during the 6 h dark phase subsequent to treatment with RO5263397 (Fig. 1b), highly significant effects on sleep parameters were observed after the 10 mg/kg treatment compared to vehicle (Table 1). Following vehicle, macaques showed a SOL of 22.0 ± 3.1 min after light offset and an overall sleep efficiency of 70.6 ± 3.9% during the initial 6 h of the dark phase. In contrast, RO5263397 showed overall main effects on a number of sleep/wake parameters including TST (F(3,15 = 13.12, p < 0.001), WASO; F(3,15 = 12.44, p < 0.001), NREM duration (F(3,15 = 8.68, p < 0.001), N3 duration (F(3,15 = 4.84, p < 0.05), REM duration (F(3,15 = 7.95, p < 0.01); REM–NREM ratio (F(3,15 = 7.35, p < 0.01) and the number of NREM–REM cycles (F(3,15 = 8.88, p < 0.001). Post hoc analysis revealed that macaques treated with the 10 mg/kg dose of RO5263397 showed large reductions in TST (t = 6.31, p < 0.001), sleep efficiency (t = 6.31, p < 0.001), and more than twice the time WASO; t = 5.82, p < 0.01) compared to vehicle treatment (Table 1) even though SOL was unchanged. Macaques treated with 10 mg/kg of RO5263397 also had significantly reduced NREM sleep (t = 4.52, p < 0.01), particularly N3 sleep, compared to vehicle (t = 2.58, p < 0.05), and REM sleep was almost completely suppressed (t = 3.00, p < 0.05). As a result, the 10 mg/kg-treatment resulted in fewer NREM–REM cycles (t = 3.54, p < 0.05) and a greatly reduced REM–NREM ratio (t = 2.57, p < 0.05) compared to vehicle (Table 1). In a separate experiment with a narrower dose range (1, 3, and 10 mg/kg, p.o.) tested in a smaller number of subjects (n = 4), RO5263397 at 3 mg/kg significantly reduced N3 sleep (t = 10.84, p < 0.01), and 10 mg/kg reduced both N3 sleep (t = 4.06, p < 0.05) and the number of NREM–REM cycles (t = 3.18, p < 0.05) (Supplementary Table 1).
Table 1.
Sleep-wake parameters | Vehicle (Mean ± SEM) | RO5263397 (0.1 mg/kg) | RO5263397 (1 mg/kg) | RO5263397 (10 mg/kg) |
---|---|---|---|---|
Time in darkness (min) | 360 | 360 | 360 | 360 |
Total sleep time (TST; min) | 254.2 ± 14.1 | 251.8 ± 20.0 | 263.1 ± 22.4 | 164.3 ± 14.7a |
Sleep efficiency (%) | 70.6 ± 3.9 | 69.9 ± 5.6 | 73.1 ± 6.2 | 45.6 ± 4.1a |
Sleep onset latency (SOL; min) | 22.0 ± 3.1 | 19.4 ± 4.1 | 17.8 ± 4.5 | 24.0 ± 4.4 |
REM onset latency (ROL; min) | 93.5 ± 12.7 | 80.7 ± 19.3 | 87.3 ± 21.1 | 159.9 ± 32.2 |
Wake after sleep onset (WASO; min) | 83.8 ± 11.1 | 88.8 ± 18.1 | 79.1 ± 20.7 | 171.7 ± 13.4a |
REM sleep duration (min) | 35.0 ± 8.6 | 38.8 ± 4.6 | 30.5 ± 7.0 | 4.8 ± 2.7a |
Stage N1 NREM duration (min) | 4.6 ± 1.3 | 6.2 ± 1.6 | 3.6 ± 1.2 | 2.0 ± 1.3 |
Stage N2 NREM duration (min) | 152.1 ± 13.5 | 138.1 ± 12.6 | 156.0 ± 18.7 | 116.7 ± 16.0 |
Stage N3 NREM duration (min) | 62.5 ± 17.0 | 68.7 ± 16.1 | 73.0 ± 22.6 | 40.8 ± 4.4a |
Cumulative NREM sleep duration (min) | 219.2 ± 14.0 | 212.9 ± 19.9 | 232.6 ± 21.0 | 159.5 ± 12.4a |
REM / NREM ratio | 0.166 ± 0.047 | 0.194 ± 0.036 | 0.136 ± 0.032 | 0.026 ± 0.014a |
Awakenings (#) | 45.5 ± 5.9 | 50.2 ± 5.2 | 49.5 ± 9.4 | 58.5 ± 6.8 |
NREM / REM Cycles (#) | 6.3 ± 1.1 | 6.8 ± 1.2 | 6.2 ± 1.1 | 1.3 ± 0.6a |
ap ≤ 0.05 vs. vehicle
Figure 2 presents the individual hypnograms and the hourly distributions of WAKE, NREM, and REM sleep during the initial 6 h of the dark phase for both vehicle- and RO5263397-treatment. The hypnograms (Fig. 2a, b) illustrate the RO5263397-induced wake increase and suppression of REM sleep following the 10 mg/kg dose for the majority of subjects. Overall, main effects of treatment (F3,75 = 13.119, p < 0.001) and time (F5,75 = 8.217, p < 0.001) but no treatment × time interaction (F15,75 = 1.703, p = 0.068) were evident during wakefulness (Fig. 2c). The overall increase in WAKE following the 10 mg/kg dose of RO5263397 was due to an increase from ZT15 to ZT18. Similarly, main effects of treatment (F3,75 = 8.684, p < 0.001) and time (F5,75 = 4.891, p < 0.001) but no treatment × time interaction (F15,75 = 1.313, p = 0.216) were observed for NREM sleep (Fig. 2d). Main effects of treatment (F3,75 = 7.950, p < 0.01), time (F5,75 = 8.902, p < 0.001) and a treatment × time interaction (F15,75 = 1.863, p < 0.05) were evident for REM sleep (Fig. 2e). Post hoc analysis revealed that the 10 mg/kg condition significantly decreased both NREM and REM sleep from ZT15 to ZT18 (p < 0.05). These results demonstrate that the high dose of RO5263397 increased wakefulness and reduced NREM and REM sleep; similar results were obtained in the study in which RO5263397 was tested at 1, 3, and 10 mg/kg (Supplementary Fig. 1).
Spectral power within the conventional frequency bands was calculated from the frontal cortex for each vigilance state during the initial 6 h of the dark phase for the vehicle- and RO5263397-treatments (Fig. 3). Figure 3a shows the absolute power spectral profile from 0.3-100 Hz for WAKE, NREM, and REM sleep. Figure 3b presents the normalized power spectral profiles (0.3–100 Hz) for each vigilance state and dose of RO5263397 in which the absolute power values were normalized to vehicle for the 6 h period. RO5263397 at 10 mg/kg showed significant increases in delta and theta power compared to vehicle during all three vigilance states [WAKE (delta: t = 17.15; p < 0.001; theta: t = 18.02; p < 0.001); NREM (delta: t = 4.04; p < 0.05; theta: t = 7.27; p < 0.01), and REM sleep (delta: t = 4.19; p < 0.05; theta: t = 4.28; p < 0.05)]. In addition, RO5263397 increased delta power during NREM sleep following both 0.1 mg/kg (t = 4.98; p < 0.01) and 1 mg/kg (t = 3.76; p < 0.05) and an increase in theta (t = 3.67; p < 0.05) occurred during REM sleep following the 0.1 mg/kg dose compared to vehicle. Subtle decreases in low (t = −2.81; p < 0.05) and high gamma (t = −4.08; p < 0.05) during wakefulness were also evident following the 0.1 mg/kg dose (Fig. 3c). These results indicate that RO5263397 affects slow wave oscillations in the frontal cortex across all vigilance states during the initial 6 h dark phase in macaques.
Experiment 2: effects of TAAR1 partial agonist RO5263397 on a DMTS working memory task
To determine whether RO5263397 affects WM, macaques (n = 7) were trained to perform a DMTS task with two delay intervals (2 and 10 sec). Two-way RM ANOVA revealed the absence of main effects of treatment (F3,18 = 0.624, p = 0.609), delay (F1,18 = 1.518, p = 0.264) or a treatment × delay interaction (F3,18 = 0.834, p = 0.493) on choice accuracy (Fig. 4a). Similarly, neither a main effect of treatment (F3,18 = 1.364, p = 0.285) nor a treatment × delay interaction (F3,18 = 0.118, p = 0.948) was observed for ‘choice’ reaction time, although a delay effect was evident (F1,18 = 16.910, p < 0.01; Fig. 4b). As expected, post hoc analysis revealed that animals took longer to respond correctly when the delay was longer (10-sec) compared to shorter (2 sec) across all treatment groups. In addition, there was no effect of RO5263397 treatment (F3,18 = 0.971, p = 0.428), delay (F1,18 = 2.627, p = 0.156) or a treatment x delay interaction (F3,18 = 0.688, p = 0.571) on the number of omissions (Fig. 4c). A similar effect was observed when delay intervals were extended up to 100 sec (Supplementary Information). These results indicate that the doses of RO5263397 used in Experiment 1 had little effect on DMTS performance.
Discussion
Having previously shown that TAAR1 partial agonism has wake-promoting, pro-cognitive, antipsychotic-, and antidepressant-like activities, we have postulated that TAAR1 may represent a novel therapeutic target for pathological sleepiness and the treatment of neuropsychiatric disorders [9–12]. Moreover, having established the basal sleep/wake characteristics in Cynomolgus macaques [21], we sought to determine whether the novel TAAR1 partial agonist RO5263397 affected vigilance states in this species when administered at a time of day when the homeostatic drive to sleep is high. Given the pro-cognitive effect of RO5263397 in primates tested on an object recognition task [10], we also sought to determine whether this compound affected WM in a DMTS test.
TAAR1 partial agonism and LMA
Macaques exhibited a clear diurnal pattern of activity with nearly continuous wakefulness during the light phase and virtually no LMA during the dark phase. Similar to rodents [11, 12], RO5263397-induced wakefulness was not accompanied by hyperactivity. The activity monitors, tagged to each animal’s collar, are more sensitive to gross vs. fine locomotor movements. During the dark phase, macaques tended to sit upright on their perch and showed little movement while awake as opposed to during the light phase.
TAAR1 partial agonism promotes wakefulness
During the dark phase, the TAAR1 agonist RO5263397 (10 mg/kg) caused a two-fold increase in WASO, decreased NREM sleep (particularly N3 in which the highest SWA levels occur), and reduced REM sleep. As a result, macaques exhibited fewer NREM–REM cycles and a reduced REM–NREM ratio. The increased wakefulness was particularly evident around ZT15 of the dark phase, consistent with the 1.5 h Tmax following oral administration of this compound in Cynomolgus macaques [10]. These results are consistent with previous rodent studies that showed similar results at 0.3 and 1 mg/kg in mice [11, 12] and at 1 and 3 mg/kg in rats [10]. Furthermore, such effects were completely absent in TAAR1 knockout (KO) mice, indicating TAAR1 dependence [11, 12], and were greatly exacerbated in TAAR1 overexpressing (OE) mice [11], suggesting that TAAR1 partial agonism increases waking drive.
TAAR1 partial agonists may increase wakefulness and promote arousal by increasing monoaminergic activity [9, 10] and modulating DA and 5-HT signaling in the ascending reticular activating system. TAAR1 has been shown to regulate monoamine transporters and to interact with DA D2 and 5-HT1A receptors [8, 28–30]. RO5263397 dose-dependently increases firing rates of ventral tegmental area (VTA) dopaminergic and dorsal raphe nucleus (DRN) serotonergic neurons, mimicking the effects of the TAAR1 antagonist EPPTB [30, 31], thereby suggesting that this partial agonist may have antagonistic activity that blocks constitutive TAAR1 tone. Given that both DA and 5-HT are implicated in sleep/wake regulation, future studies should assess the relative contribution of each of these systems to TAAR1 agonist-induced wakefulness.
TAAR1 partial agonism and EEG spectra
The dose of RO5263397 (10 mg/kg) that enhanced wakefulness also increased delta and theta power in the frontal cortex in all three vigilance states during the initial 6 h dark phase. Furthermore, increased delta activity was evident during NREM sleep following 0.1 and 1 mg/kg and increased delta/theta activity occurred during REM following 0.1 mg/kg. These results indicate that RO5263397 profoundly affects cortical activity by increasing the power of slow oscillations in the frontal cortex despite an increase in wakefulness in these macaques. These results contrast with those which we previously observed in mice in which acute decreases in alpha, beta and gamma activity occurred during waking and NREM sleep in the first 3 h following wake-promoting doses of 0.3 and 1 mg/kg [11]. Although we observed trends toward subtle reductions in alpha, sigma, beta, low and high gamma activity following 0.1 and 1 mg/kg doses during waking and NREM sleep in macaques, the only significant reductions were in high gamma following 0.1 mg/kg during waking. One possibility for this difference could be the fact that RO5263397-induced alterations in EEG spectra were assessed for the entire 6 h period of the dark phase here compared to the initial 3 h in the mouse study, and most spectral effects were eliminated by 4–6 h post-treatment in mice [11].
Since TAAR1 negatively modulates monoaminergic and glutamatergic activity [4, 5], one mechanism by which TAAR1 activation alters the observed EEG spectral activity may be through modulation of DA release [7]. The wake-promoting compound modafinil, known to block the dopamine transporter [32], caused a three-fold increase in theta (7–11 Hz) activity during waking in mice [33]. We have recently shown that modafinil increases delta power during both waking and NREM sleep in mice [34]. However, other non-DA mechanisms of action for modafinil have been suggested [35]. TAAR1 also modulates cortical NMDA receptor-mediated glutamate transmission [36]. Since NMDA receptor antagonists increase gamma [27, 37–40] and theta [39] power, TAAR1 modulation of glutamatergic neurotransmission may be a critical component underlying EEG activity.
TAAR1 partial agonism and WM
WM is a cognitive domain sensitive to disruption under conditions in which monoaminergic tone is increased non-optimally, e.g., either pharmacologically or by stress [41, 42]. Despite the RO5263397-induced enhancement in wakefulness, RO5263397 neither improved nor impaired WM as assessed by choice accuracy of DMTS performance at either delay interval or when delay intervals were extended up to 100 s (see Supplementary Information). As expected, all macaques took longer to respond when the cognitive workload was increased (long vs. short delay). RO5263397 was well tolerated and the macaques were motivated to perform the task since no changes in number of omissions occurred. In a previous study, we demonstrated that RO5263397 (1–10 mg/kg, p.o.) improved accuracy on an object retrieval paradigm, a test of executive function mediated by the PFC [43, 44]. Collectively, these results suggest that TAAR1 partial agonists may promote some aspects of executive function (e.g., response inhibition) more effectively than WM, at least as tested under the current task conditions. It is possible that increasing the task difficulty (e.g., increasing distractors) could reveal a bigger dynamic range in the paradigm [45], especially in the longer delay (10 sec) condition and thus allow for greater modulation in performance following RO5263397 administration.
Together, our results indicate that, when administered at a time of day when sleep pressure is high, the TAAR1 partial agonist RO5263397 enhances wakefulness, suppresses NREM/REM sleep and alters EEG spectral composition in Cynomolgus macaques without inducing hyperlocomotion. These properties suggest the utility of TAAR1-directed compounds in treating sleep disorders such as narcolepsy, in which excessive sleepiness and REM sleep abnormalities are characteristic.
Funding and disclosure
Research supported by NIH R21NS085757 and R01NS103529. M.C.H. is an employee of F. Hoffmann-La Roche Ltd. T.L.W. is an employee of Blackthorn Therapeutics. Over the past 2 years, T.S.K. has served as a consultant for NIH, the Japanese Society for the Promotion of Science, Teva Branded Pharmaceutical Products R&D, Inc. and Jazz Pharmaceuticals and received research support from Jazz Pharmaceuticals and Sunovion Pharmaceuticals, Inc. S.R.M. has received research support from Neurocrine Biosciences, Unity Biotechnology, Verily Life Sciences LLC, Teva Branded Pharmaceutical Products R&D, Inc., Jazz Pharmaceuticals, Heptares Therapeutics and Sunovion Pharmaceuticals, Inc. The remaining authors declare no conflict of interests.
Supplementary information
Acknowledgements
We thank the SRI Laboratory Animal Medicine Department for excellent veterinary care and husbandry of the animals and Drs. Massimiliano de Zambotti and Michael Schwartz for comments on the manuscript. We also thank Dr. Joerg Hipp of F. Hoffmann-La Roche Ltd. for supplying the visual stimuli used in the DMTS study.
Footnotes
The original online version of this article was revised: due to a typesetting mistake, the supplementary files were not linked correctly in the original version.
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Change history
6/17/2020
The original version of this Article has been updated to optimize the Supplementary Information.
Supplementary information
Supplementary Information accompanies this paper at (10.1038/s41386-019-0386-8).
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