Department of Veterinary and Comparative Anatomy, Pharmacology, and
Physiology, Washington State University, College of Veterinary
Medicine, Pullman, Washington (T.K., J. F., J.M.K.); and Central
Nervous System Pharmacology, Pfizer Global Research and Development,
Ann Arbor Laboratories, Ann Arbor, Michigan (L.T.M.)
 |
Introduction |
Several
molecules in the benzodiazepine class are used as somnogenic agents.
These substances, e.g., triazolam, increase duration of nonrapid eye
movement sleep (NREMS), primary stage II in humans (Pakes et al., 1981
;
Tan et al., 1998
). The enhanced duration of sleep episodes (sleep
consolidation) induced by benzodiazepines is thought to be responsible
for the feelings of restoration following short-term use of these
benzodiazepine-based somnogenic agents. However, an enigma associated
with their use has been the observation that benzodiazepine-based
agents inhibit electroencephalographic (EEG) power in the low
frequency range (0.5-10 Hz) (Tan et al., 1998
). In experimental
sleep-deprivation studies, recovery sleep is characterized by enhanced
EEG delta wave (0.5-4 Hz) activity and reduced REMS (Pappenheimer et
al., 1975
). This enhanced EEG delta wave activity is thought to reflect
sleep intensity and indeed EEG delta wave activity is the key variable
used to model process S in the widely accepted two-process model of
sleep regulation (Borbély and Achermann, 1999
). Such observations
suggest that benzodiazepine-based somnogenic agents do not induce
physiological sleep. Furthermore, their long-term use is associated
with confounds, such as sleep disruption, memory loss, addiction, and
multiple drug interaction, that limit their usefulness (Kirkwood,
1999
).
Pregabalin (3-isobutyl GABA), the pharmacologically active
S-enantiomer of 3-aminomethyl-5-methyl-hexanoic acid, has
anticonvulsant, analgesic, and anxiolytic activity in many animal
models (Bialer et al., 1999
; Bryans and Wustrow, 1999
; Kinsora et al.,
1999
; Field et al., 2001
). It was synthesized as a lipophilic analog of
GABA capable of penetrating the blood-brain barrier (Bryans and
Wustrow, 1999
). Pregabalin has a novel, although incompletely understood, mechanism of action. Pregabalin significantly improved sleep in several recently completed clinical studies of neuropathic pain (U. Sharma, D. Iacobellis, C. Glessner, M. Hes, L. LaMoreaux, R. Allen, and R. Pool, unpublished observations). Therefore,
we thought it useful to investigate whether pregabalin had direct sleep-modulating effects.
Triazolam is a short half-life 1,4-benzodiazepine analog that is a
potent sleep inducer in various mammalian species and a widely used
hypnotic in humans (Pakes et al., 1981
). The purpose of this study was
to evaluate the effects of pregabalin on spontaneous sleep in rats and
compare it to the somnogenic actions of triazolam. We report that
pregabalin is a novel sleep modulator in that it enhances NREMS and EEG
slow wave (0.5-4.0 Hz) activity and inhibits REMS.
 |
Materials and Methods |
Agents.
Pregabalin was a gift from Parke-Davis
Warner-Lambert (Ann Arbor, MI). Triazolam was purchased from Sigma (St.
Louis, MO). Pregabalin was dissolved in water just before its
administration. Because triazolam is relatively insoluble in water, the
mixture of triazolam and water was sonicated and then administered as a
uniform suspension.
Animals and Surgery.
Male Sprague-Dawley rats weighing 250 to 360 g were used. The rats were kept on a 12:12 h light/dark
cycle (lights on at 9:00 AM) at 23 ± 2°C ambient temperature.
They had free access to water and food during the experiment. Surgeries
were performed under ketamine-xylazine (87 and 13 mg/kg, respectively)
anesthesia. Stainless steel jewelry screws for EEG recording were
placed over the frontal and parietal cortices. An electromyogram (EMG)
electrode was implanted in the dorsal neck muscles. A calibrated 30 k
thermistor (model 44008; Omega Engineering, Stanford, CT) was
placed on the dura mater over the parietal cortex to measure brain
temperature (Tbr). The leads from the EEG and EMG electrodes and the
thermistor were routed to a Teflon pedestal. The pedestal and leads
were immobilized and attached to the skull with dental acrylic
(Duz-All; Coralite Dental Products, Skokie, IL).
Experimental Protocols.
A total of 98 rats was used. In all
experiments, rats were acclimatized to a gavage tube (Poppe & Sons,
Inc., New Hyde Park, NY) by inserting it once per day for 4 days prior
to the control day and injecting 1.5 ml of sterile water
intragastrically. On the control day, all rats received 1.5 ml of
sterile water intragastrically. All agents were administered in 1.5 ml
of water on the day after the control day; each rat received only one
dose of drug. In experiment I, each rat received one dose of pregabalin
just before dark onset (between 8:30 and 9:00 PM): 3 mg/kg
(n = 10), 10 mg/kg (n = 10), 30 mg/kg
(n = 10), and 100 mg/kg (n = 10). In
experiment II, pregabalin was given just before light onset (between
8:30 and 9:00 PM) at the doses of 3 mg/kg (n = 8), 10 mg/kg (n = 8), 30 mg/kg (n = 8), and
100 mg/kg (n = 8). In experiment III, triazolam was
administered just before light onset at doses of 0.5 mg/kg
(n = 8), 1.5 mg/kg (n = 8), and 4.5 mg/kg (n = 10). After the administration of the drugs,
EEG, EMG, and Tbr were recorded for the next 23 h. Latency to
sleep was defined as the time to the first episode of NREMS after the
recordings were begun.
Recording and Analyses.
After a recovery period of at least
1 week, rats were moved to sleep recording chambers (Hot Pack,
Philadelphia, PA). The rats were allowed relatively unrestricted
movement inside the recording cages. A flexible tether connected the
electrodes and thermistor leads to an electronic swivel (SL6C; Plastics
One, Roanoke, VA). The leads from the swivel were routed to Grass 7D polygraphs in an adjacent room. The EEG was filtered below 0.1 Hz and
above 35 Hz. The amplified signals were digitized at a frequency of 128 Hz for the EEG and EMG. Tbr data were saved on a computer in 10-s
intervals. Some of the Tbr values were lost because of technical
problems, and therefore the sample sizes for Tbr are less than those
for sleep data. For scoring purposes the records were displayed on a
computer screen; the screen contained the EEG in 10-s and 20-min
epochs, and the fast Fourier transformation analysis, brain
temperature and EMG in 10-s epochs. The individual scoring the records
was unaware of the experimental treatment. The data collection and
analysis programs were developed by Dr. J. Fang.
The vigilance states of wakefulness, NREMS and REMS were determined
off-line in 10-s epochs using criteria previously reported (Krueger et al., 1993
). Briefly, wakefulness is characterized by
fast low-amplitude EEG waves, gradually increasing Tbr, and a high
incidence of gross body movements. NREMS is associated with slow
high-amplitude EEG waves, slowly decreasing Tbr, and lack of body
movements. In contrast, REMS is characterized by fast low-amplitude EEG
waves, appearance of rhythmic theta EEG, rapidly increasing Tbr at REMS
onset, and lack of body movements. The amount of time spent in each
vigilance state was calculated every 3 h.
On-line Fourier analysis of the EEG was performed. Three-hour averages
of the EEG delta wave activity during NREMS, also called EEG slow wave
activity (SWA), were determined as previously described (Kushikata et
al., 1999
). Moreover, power spectrum analysis during NREMS was
performed for the 0.5 to 25 Hz frequency range for the initial 12 h in experiments II and III; 3-h time blocks were used for these
analyses. Because of the EEG signal quality, data from two rats in
experiment II were excluded from this power spectrum and EEG SWA
analyses. This, however, did not affect the ability to score sleep
stages. In addition, the number of NREMS and REMS episodes, the mean
episode length, and length of sleep cycles (REMS-REMS interval; defined
as the time between the onset of a REMS episode lasting 30 s to
the next) were determined using a computer program. Twelve and 11-h
time blocks were used for these statistical analyses.
Statistical Analysis.
Two-way ANOVA for repeated measures
followed by the Student-Newman-Keuls test was used for the
analyses of time-spent and episode in each vigilance state, EEG SWA,
and Tbr. Paired t tests were used for the comparison of the
latency data. For power spectrum analysis data, the actual EEG power
density values in 3-h time blocks were summed in four frequency bands:
delta (0.5-4.0 Hz), theta (4.5-8.0 Hz), alpha (8.5-12.0 Hz), and
beta (12.0-25.0 Hz) wave activities. For the statistical analysis, the
average power of each frequency band throughout the initial 12-h
control recording period in each rat was normalized to 100%. Then all
EEG power data were converted to percent values. Two-way ANOVA for
repeated measures was performed for these normalized frequency data. A significance level of P < 0.05 was accepted.
 |
Results |
Experiment I: Effect of Pregabalin on Spontaneous Sleep after Dark
Onset Administration.
A 3 mg/kg dose of pregabalin given at dark
onset did not affect duration of NREMS or REMS. The 30 and 100 mg/kg
doses of pregabalin given at dark onset induced increases in NREMS
[ANOVA values for the 23-h postinjection period; 30 mg/kg: treatment
effect F(1,9) = 9.99, P = 0.0115 with
time-treatment interaction F(7,63) = 4.31, P = 0.0006; 100 mg/kg: treatment effect
F(1,9) = 74.19, P < 0.0001]. These
increases were evident from 4 h to about 12 h after the injection (Fig. 1). If the analyses are
confined to the 12-h dark period immediately following the injection,
10 mg/kg, 30 mg/kg, and 100 mg/kg doses of pregabalin increased NREMS
significantly [ANOVA, treatment effect; 10 mg/kg:
F(1,9) = 5.65, P = 0.0414; 30 mg/kg:
F(1,9) = 14.01, P = 0.0046; 100 mg/kg:
F(1,9) = 31.38, P = 0.0003] (Table
1). The NREMS-promoting effects were
mainly due to increases in the duration of NREMS episodes [ANOVA,
treatment effect for the 23-h postinjection period; 10 mg/kg:
F(1,9) = 10.21, P = 0.0109; 30 mg/kg:
F(1,9) = 9.71, P = 0.0176; 100 mg/kg:
F(1,9) = 29.99, P = 0.0004]; the
number of NREMS episodes decreased significantly after the dose of 100 mg/kg [ANOVA, treatment effect for the 23-h period;
F(1,9) = 8.39 P = 0.0176] (Table
2). However, pregabalin did not affect
the latency of NREMS after any dose (Table 2).

View larger version (28K):
[in this window]
[in a new window]
|
Fig. 1.
Effects of pregabalin on nonrapid eye movement sleep
(NREMS), rapid eye movement sleep (REMS), electroencephalographic (EEG)
slow wave activity (SWA) and brain temperature (Tbr) after dark onset
administration in rats. Open circles and closed squares are vehicle
control and pregabalin treatment, respectively. All data shown are
averages obtained from 3-h time blocks ± S.E.M. Percent SWA
values are EEG delta wave amplitudes during NREMS. Average power
throughout the 23-h control-recording period was normalized to 100%,
then all SWA data were converted to relative percent values. Horizontal
shaded bars denote dark phase of the day.
|
|
View this table:
[in this window]
[in a new window]
|
TABLE 1
Pregabalin enhances NREMS and inhibits REMS
Sleep times are expressed as the number of minutes spent in NREMS or
REMS for the 11- or 12-h light and dark periods (mean ± S.E.).
|
|
View this table:
[in this window]
[in a new window]
|
TABLE 2
Effect of pregabalin on NREM sleep cycles
The number and length of the episodes were determined using a computer
program with the criterion that each episode lasted at least 30 sec.
All values are expressed as mean ± S.E.
|
|
In contrast to its effects on NREMS, pregabalin inhibited REMS in doses
of 30 mg/kg and 100 mg/kg [ANOVA, treatment effect for the 23-h
postinjection period; 30 mg/kg: F(1,9) = 19.37, P = 0.0017; 100 mg/kg: F(1,9) = 69.26, P < 0.0001]. The effects on REMS occurred during the
first 12 h after injection (Table 1). REMS loss resulted from a
decreased duration and number of REMS episodes [ANOVA, treatment
effect for duration of REMS episodes during the 23-h postinjection
period; 30 mg/kg: F(1,9) = 5.97, P = 0.0371;
100 mg/kg: F(1,9) = 13.44, P = 0.0052;
ANOVA, treatment effect for the number of REMS episodes during 23 h; 100 mg/kg: F(1,9) = 18.79, P = 0.0019]
(Table 3). However, there were no significant differences in REMS-REMS intervals. Pregabalin induced increases in EEG SWA. Significant effects were observed after all doses
[ANOVA; 3 mg/kg: treatment effect F(1,9) = 9.98, P = 0.0115; 10 mg/kg: time-treatment interaction
F(7,63) = 3.03, P = 0.0082; 30 mg/kg:
treatment effect F(1,9) = 24.30, P = 0.0008 with time-treatment interaction F(7,63) = 15.20, P < 0.0001; 100 mg/kg: treatment effect
F(1,9) = 69.95, P < 0.0001 with
time-treatment interaction F (7,63) = 6.50, P < 0.0001] (Fig. 1).
View this table:
[in this window]
[in a new window]
|
TABLE 3
Effect of pregabalin on REM sleep cycles
The number and length of the episodes were determined using a computer
program with the criterion that each episode lasted at least 30 sec.
All values are mean ± S.E.
|
|
Experiment II: Effect of Pregabalin on Spontaneous Sleep after
Light Onset Administration.
The effects of light onset injections
of pregabalin were similar to those observed after dark onset
injections. The higher two doses of pregabalin increased NREMS time
[ANOVA for the 23-h postinjection period; 30 mg/kg: treatment effect
F(1,7) = 14.19, P = 0.0070; 100 mg/kg:
treatment effect F(1,7) = 19.88, P = 0.0029 with time-treatment interaction effects F(7,49) = 8.97, P < 0.0001]. These effects were prominent during the
initial 12-h light period (Table 1). The NREMS-promoting effects were
due to marked increases in the duration of NREMS episodes [ANOVA,
treatment effect for the 23-h postinjection period; 10 mg/kg:
F(1,7) = 12.50, P = 0.0096, 30 mg/kg:
F(1,7) = 67.60, P < 0.0001, 100 mg/kg:
F(1,7) = 149.0, P < 0.0001]. This effect
was observed after all doses of pregabalin during the initial 12-h
light period (Table 2). The number of the NREMS episodes were
significantly decreased and this effect was dose-dependent [ANOVA,
treatment effect for the 23-h postinjection period; 3 mg/kg:
F(1,7) = 17.17, P = 0.0043; 10 mg/kg:
F(1,7) = 20.53, P = 0.0027; 30 mg/kg:
F(1,7) = 44.36, P = 0.0003; 100 mg/kg:
F(1,7) = 70.70, P < 0.0001] (Table 2). The
effects on NREMS episodes were stronger than those in experiment I
because significant effects were observed even after the lower doses. The latency to NREMS was not affected by pregabalin (Table 2). Pregabalin inhibited REMS duration [ANOVA for 23 h; 30 mg/kg: treatment effect F(1,7) = 14.24, P = 0.0070 with time-treatment interaction F(7,49) = 5.33, P = 0.0001; 100 mg/kg: treatment effect F(1,7) = 27.93, P = 0.0011 with
time-treatment interaction F(7,49) = 8.57, P < 0.0001] (Table 1).
The inhibitory effect on REMS was due to a reduction in the number and
duration of episodes [ANOVA, treatment effect for duration of REMS
episodes during the 23-h postinjection period; 3 mg/kg: F(1,7) = 7.12, P = 0.0320; 30 mg/kg:
F(1,7) = 6.75, P = 0.0355; 100 mg/kg:
F(1,7) = 28.78, P = 0.0010. ANOVA, treatment
effect for number of REMS episodes during the 23-h postinjection
period, 100 mg/kg: F(1,7) = 6.09, P = 0.0431] (Table 3). Pregabalin increased EEG SWA [ANOVA for the 23-h
postinjection period; 3 mg/kg: treatment effect F(1,7) = 27.96, P = 0.0011; 10 mg/kg: treatment effect F(1,6) = 7.74, P = 0.0319 with
time-treatment interaction F(7,42) = 4.80, P = 0.0005; 30 mg/kg: treatment effect F(1,7) = 52.33 with
time-treatment interaction F(7,49) = 9.41, P < 0.0001; 100 mg/kg: treatment effect F(1,6) = 27.10, P = 0.0020 with time-treatment interaction
F(7,42) = 15.50, P < 0.0001] (Fig.
2). Power spectrum analysis revealed
significant pregabalin-induced increases in relative EEG delta power
and decreases in relative beta power. The maximum effect on EEG delta
power was observed 4 to 6 h after the administration. The
decreasing effect on EEG beta power persisted throughout the initial
12 h. (Fig. 3, Table
4).

View larger version (29K):
[in this window]
[in a new window]
|
Fig. 2.
Effects of pregabalin on spontaneous sleep after
light onset administration. Open circles and closed squares are vehicle
control and pregabalin treatment values, respectively. All data shown
are averages obtained from 3-h intervals ± S.E.M.
|
|

View larger version (33K):
[in this window]
[in a new window]
|
Fig. 3.
Power spectrum analysis during NREMS after
pregabalin administrations. Three-hour time blocks were used for this
analysis. Closed circles, open circles, closed triangles, and open
triangles represent data obtained after 3, 10, 30 and 100 mg/kg
pregabalin, respectively. The average power for each animal and for
each frequency band during control recordings were normalized to 100%,
then all frequency band densities in the pregabalin groups were
converted to relative power data.
|
|
View this table:
[in this window]
[in a new window]
|
TABLE 4
Summarized EEG power spectrum analysis of NREMS during the initial
12 h after light onset administration
The EEG power densities were summed in four frequency bands: delta
(0.5-4.0 Hz), theta (4.5-8.0 Hz), alpha (8.5-12.0 Hz), beta
(12.0-25.0 Hz). The values of 3-h time blocks in each rat were
normalized as the percent values of the time- and frequency-matched
control values. For the statistical analysis, the average power of each
frequency band throughout the initial 12-h control-recording period in
each animal was normalized to 100%. Then all EEG power data were
converted to frequency-matched percent values. Two-way ANOVA for
repeated measures was performed for each frequency band with 3-h time
blocks.
|
|
Pregabalin did not affect Tbr after any of the doses (data not shown),
and the normal changes in Tbr associated with state changes persisted
in pregabalin-treated rats. Pregabalin also did not induce gross
abnormal behavior in the sense that animals appeared to behave normally
when handled at the end of the experiments.
Experiment III: Effects of Triazolam on Spontaneous Sleep after
Light Onset Administration.
Triazolam significantly increased
NREMS after the doses of 1.5 and 4.5 mg/kg [ANOVA, treatment effect
for the 23-h postinjection period; 1.5 mg/kg: F(1,7) = 8.85, P = 0.0207; 4.5 mg/kg: F(1,9) = 12.28, P = 0.0067]. However, triazolam had no effect on REMS or the number or duration of REMS episodes (Tables
5 and 6). The increase
in NREMS time was due to significant increases in the duration of NREMS
episodes [ANOVA, treatment effect for the 23-h postinjection period;
1.5 mg/kg: F(1,7) = 6.58, P = 0.0373; 4.5 mg/kg: F(1,9) = 53.7, P < 0.0001] (Table
7). Although we did not observe clear
dose-response relationships, 1.5 mg of triazolam significantly reduced
latency to NREMS (paired t test: P = 0.0233) (Table 7). EEG SWA decreased after the 1.5 and 4.5 mg/kg triazolam doses [ANOVA for the 23-h postinjection period; 1.5 mg/kg:
time-treatment interaction, F(7,49) = 2.55, P = 0.0253; 4.5 mg/kg: treatment effect,
F(1,9) = 17.55, P = 0.0023] (Fig.
4). Triazolam inhibited EEG power
densities in all bandwidths and especially in the theta and alpha power
frequencies (Fig. 5, Table 4). These
effects were most prominent during the first 3 h after triazolam
treatment (Fig. 5). Triazolam did not affect Tbr after any of the
doses.
View this table:
[in this window]
[in a new window]
|
TABLE 5
Effects of triazolam on sleep in rats
Sleep times are expressed as the number of minutes spent in NREMS or
REMS for the 11- or 12-h light and dark periods (mean ± S.E.).
|
|
View this table:
[in this window]
[in a new window]
|
TABLE 6
Effects of triazolam on REM sleep cycles
The number and length of the episodes were determined using a computer
program with the criterion that each episode lasted at least 30 sec.
All values are means ± S.E.
|
|
View this table:
[in this window]
[in a new window]
|
TABLE 7
Effects of triazolam on NREM sleep cycles
The number and length of the episodes were determined using a computer
program with the criterion that each episode lasted at least 30 sec.
All values are expressed as means ± S.E.
|
|

View larger version (31K):
[in this window]
[in a new window]
|
Fig. 4.
Effects of triazolam on spontaneous sleep after light
onset administration. Open circles and closed squares are vehicle
control and triazolam treatment values, respectively. All data shown
are averages obtained from 3-h intervals ± S.E.M.
|
|

View larger version (30K):
[in this window]
[in a new window]
|
Fig. 5.
Power spectrum analysis during NREMS after triazolam
administration. Closed circles, open circles and closed triangles
represent data obtained after 0.5, 1.5, and 4.5 mg/kg triazolam,
respectively. Power spectrum analysis values were normalized as
described in the legend to Fig. 3.
|
|
 |
Discussion |
The purposes of the present study were to characterize the actions
of pregabalin on sleep and to compare the effects of pregabalin and
triazolam on the sleep-awake cycle and EEG power spectrum of rats.
These two drugs had some similarities in their somnogenic actions but
distinct differences were also apparent. The major similarity is that
both pregabalin and triazolam increased NREMS. Both substances did this
by increasing the duration of NREMS episodes, suggesting effects on
sleep consolidation. Pregabalin had a relatively greater effect than
triazolam on the time spent in NREMS and duration of NREMS episodes.
Some of these differences may be due to pharmacokinetic differences
between the two compounds. Neither pregabalin nor triazolam
consistently altered the latency to sleep onset. This may in part be
due to the relatively short latency to sleep onset of 20 to 30 min
observed in rats under normal conditions.
The major differences between pregabalin and triazolam were their
effects on EEG SWA and EEG power spectrum. Pregabalin enhanced, while
triazolam inhibited, EEG low frequency (0.5-4 Hz) power. These actions
of pregabalin resemble the effects that sleep deprivation has on
subsequent sleep (Pappenheimer et al., 1975
; Borbély et al.,
1984
). The actions of pregabalin on NREMS episode length, sleep cycle
length, and inhibition of REMS are consistent with this notion.
However, although EEG delta-wave amplitudes are thought to reflect the
intensity of NREMS in physiological sleep, some studies have indicated
that the mechanism responsible for NREMS and EEG SWA are different. For
example, removal of basal forebrain cholinergic neurons has little
effect on duration of NREMS but decreases EEG power (Kapás et
al., 1996
). Similarly, electrolytic lesions of the preoptic area reduce
NREMS and EEG SWA; the reduction in NREMS is transitory while the
reduction in SWA persists (Shoham et al., 1989
). Regardless, current
results clearly indicate that the effects of pregabalin on the EEG more
closely resemble those occurring after sleep deprivation than do the
effects of triazolam on the EEG.
In addition to the effects on the sleep-awake cycle and EEG reported in
this paper, pregabalin produces anticonvulsant, anxiolytic, and
antihyperalgesic effects in animal models (Bialer et al., 1999
; Bryans
and Wustrow, 1999
; Kinsora et al., 1999
; Field et al., 2001
). The
mechanism(s) by which pregabalin produces these different
pharmacological effects is not known with certainty but is the topic of
extensive research. Although pregabalin is a GABA analog, it does not
interact with GABAA and GABAB receptors directly (Suman-Chauhan et al.,
1993
). Pregabalin activates the GABA synthetic enzyme, glutamic acid
decarboxylase in vitro, but the concentrations needed for this effect
are too high to be therapeutically relevant (Taylor et al., 1992
).
Pregabalin binds with high affinity to the alpha-2-delta subunit of
voltage-gated calcium channels (Gee et al., 1996
). This action may be
related to reported effects on decreased neurotransmitter release
(Schlicker et al., 1985
; Dooley et al., 2000
) but these effects usually
require sustained depolarization for inhibition to be observed. These
alpha-2-delta binding sites are thought to be responsible for the
observed distribution in the central nervous system of
[3H]gabapentin (Taylor et al., 1993
), which are
widely distributed in the brain with high levels in the cerebral cortex
and hippocampus (Hill et al., 1993
) where they can potentially
influence EEG activity. Gabapentin elevates, through an unknown
mechanism, concentrations of GABA in the occipital lobe of epilepsy
patients (Petroff et al., 1996
). It is unknown, however, if pregabalin
induces a similar effect.
Even if direct or indirect modulation of the GABAergic system mediates
some of the effects of pregabalin, there is not a consistent pattern of
effects of GABAergic agents on the EEG. Both GABAA and GABAB receptors
have been reported to mediate inhibitory mechanisms involved in the
generation of EEG synchronization (Juhasz et al., 1994
; Lancel et al.,
1996
). However, there are differences in the EEG modulatory effects of
direct acting GABAA agonists, e.g., muscimol and
4,5,6,7-tetrahydroisoxazolo(5,4-c)pyridin-3-ol (THIP), and the effects
of the benzodiazepines, which act as indirect modulators of GABAA
activity. For example, although both direct acting GABAA agonists and
benzodiazepines, increase NREMS, the former increase EEG slow wave
activity, whereas the latter decrease EEG slow wave activity (Lancel et
al., 1996
; Faulhaber et al., 1997
; Lancel and Faulhaber, 1996
; Lancel,
1997
; ).
The reasons why benzodiazepines inhibit EEG SWA remain unclear.
Interestingly, the reduction of EEG SWA by benzodiazepines may not be
mediated by the GABAA-benzodiazepine receptor complex (Borbély et
al., 1991
); e.g., flumazenil, a benzodiazepine receptor antagonist,
does not inhibit benzodiazepine-induced suppression of EEG SWA, while
other sleep parameters are antagonized (Gaillard and Blois, 1989
).
Another characteristic of benzodiazepines on EEG spectra is an increase
in sigma activity (11-16Hz) (Lancel, 1999
). Triazolam also markedly
increases sigma activity in humans (Johnson et al., 1983
; Aeschbach et
al., 1994
; Tan et al., 1998
). We observed a nonsignificant increase in
EEG fast wave (>20 Hz) during the initial 3 h after the high dose
of triazolam. This was not unexpected since it was previously reported
that intraperitoneal injection of triazolam in rats enhanced EEG power
in the higher frequencies only during the initial 1 or 2 h after
treatment (Edgar et al., 1991
). It is also possible that oral
administration of triazolam is less effective than intravenous or
intraperitoneal administration because of its absorption or extensive
liver first-pass metabolism; the sleep effects of triazolam after oral
administration are different from those observed after intravenous
injection in rabbits (Scherschlicht and Marias, 1983
).
Another finding in our investigation is that high doses of pregabalin
inhibit REMS as a result of a decrease in the number and duration of
REMS episodes. One of the mechanisms of REMS inhibition is thought to
be due, in part, to a drug-induced inhibition of EEG desynchronization
rather than to the disruption of the REMS generating process
(Borbély et al., 1991
). Since pregabalin enhances synchronization
of EEG slow waves, inhibition of EEG desynchronization may also be a
possible mechanism of pregabalin REMS inhibition. Benzodiazepines also
inhibit REMS and the effects of triazolam on REMS depend on the
experimental conditions. For instance, in humans triazolam inhibits
REMS (Pakes et al., 1981
; Aeschbach et al., 1994
; Tan et al., 1998
). In
rabbits, the effect depends on the route of administration.
Scherschlicht and Marias (1983)
reported that REMS increased
significantly after oral administration of triazolam, while there was
no significant effect after intravenous administration during a 6-h
recording period. In rats, triazolam inhibits REMS (Edgar et al., 1991
;
Gandolfo et al., 1994
) or has no effect on REMS (Mendelson and Monti,
1993
; Mendelson, 1998
).
Some of the differences between the effects of direct acting GABAA
agonists and benzodiazepines, may be due to the different degree and
location of receptor activation. Directly acting GABAA agonists may
stimulate all GABAA receptors, whereas the activation induced by
benzodiazepines will depend upon receptor subtype distribution and
level of GABA release. In conclusion, we have demonstrated a novel
sleep modulating effect of pregabalin. The effects to consolidate sleep
and increase EEG slow wave activity suggest the possibility that
pregabalin may act to induce more restorative sleep.
We thank Richard A. Brown for excellent technical assistance and
Dr. J. L. Werth for comments on the manuscript.
Accepted for publication August 21, 2001.
Received for publication March 20, 2001.