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The Journal of Neuroscience, December 15, 2002, 22(24):10935-10940
Attenuation of Nicotine-Induced Antinociception, Rewarding
Effects, and Dependence in µ-Opioid Receptor Knock-Out Mice
Fernando
Berrendero1,
Brigitte L.
Kieffer2, and
Rafael
Maldonado1
1 Laboratori de Neurofarmacologia, Facultat de
Ciéncies de la Salut i de la Vida, Universitat Pompeu Fabra,
08003 Barcelona, Spain, and 2 Institut de
Génétique et de Biologie Moléculaire et Cellulaire,
Centre National de la Recherche Scientifique/Institut National de la
Santé et de la Recherche Médicale/Université Louis
Pasteur, BP 163 67404 Illkirch, France
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ABSTRACT |
The involvement of µ-opioid receptors in different behavioral
responses elicited by nicotine was explored by using µ-opioid receptor knock-out mice. The acute antinociceptive responses induced by
nicotine in the tail-immersion and hot-plate tests were reduced in the
mutant mice, whereas no difference between genotypes was observed in
the locomotor responses. The rewarding effects induced by nicotine were
then investigated using the conditioning place-preference paradigm.
Nicotine produced rewarding responses in wild-type mice but failed to
produce place preference in knock-out mice, indicating the inability of
this drug to induce rewarding effects in the absence of µ-opioid
receptors. Finally, the somatic expression of the nicotine withdrawal
syndrome, precipitated in dependent mice by the injection of
mecamylamine, was evaluated. Nicotine withdrawal was significantly
attenuated in knock-out mutants when compared with wild-type mice. In
summary, the present results show that µ-opioid receptors are
involved in the rewarding responses induced by nicotine and participate
in its antinociceptive responses and the expression of nicotine
physical dependence.
Key words:
nicotine; opioid; knock-out mice; withdrawal; conditioning place preference; reward
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INTRODUCTION |
Nicotine is one of the active
components in tobacco smoke and appears to play a major role in tobacco
addiction (Crooks and Dwoskin, 1997 ). This compound affects different
aspects of behavior such as locomotion, nociception, anxiety, learning,
and memory, and it produces several behavioral responses related to its
addictive properties such as rewarding effects and physical dependence
(Decker et al., 1995 ). The pharmacological effects of nicotine are
mediated by the activation of nicotinic acetylcholine receptors
(nAChRs), which are members of the superfamily of ligand-gated ion
channels (Dani, 2001 ). nAChRs are located mainly at a presynaptic level and their activation increases the release of dopamine (Pontieri et
al., 1996 ), noradrenaline (Clarke and Reuben, 1996 ), acetylcholine (Wilkie et al., 1993 ), glutamate (McGehee et al., 1995 ), and GABA (Yang
et al., 1996 ).
The endogenous opioid system has been reported to participate in
several central effects of nicotine (Balfour, 1982 ). Thus, the
stimulation of nAChRs increases the synthesis and release of
met-enkephalin in mouse striatum (Dhatt et al., 1995 ), and an
enhancement on preproenkephalin mRNA levels in rat striatum and
hippocampus has been also reported after acute nicotine and during
nicotine withdrawal (Houdi et al., 1998 ). In addition, endogenous opioids have been implicated in the reinforcement of smoking
because the administration of the opioid antagonists naloxone and
naltrexone modulates cigarette consumption and the subjective pleasure
derived from smoking (Karras and Kane, 1980 ; Wewers et al., 1998 ).
However, the possible cross-reactivity of these antagonists with other
receptors complicates the interpretation of these data (Almeida et al.,
2000 ; Tome et al., 2001 ). Furthermore, several behavioral and
physiological effects, including antinociception, rewarding properties,
and dependence (Decker and Meyer, 1999 ; Hildebrand et al., 1999 ;
Watkins et al., 2000 ) are shared by nicotine and opioids. Three
different opioid receptors µ, , and , have been identified and
cloned (Kieffer, 1999 ). µ-Opioid receptors have been reported to be
responsible for the addictive properties of opioids (Matthes et al.,
1996 ; Hutcheson et al., 2001 ) and to be involved in the rewarding
properties of other drugs of abuse, such as alcohol (Roberts et al.,
2000 ) and cannabinoids (Ghozland et al., 2002 ).
The present study was designed to evaluate the possible involvement of
µ-opioid receptors in several behavioral responses of nicotine by
using µ-opioid receptor knock-out mice (Matthes et al., 1996 ). For
this purpose, we first studied locomotor and antinociceptive effects
induced by acute nicotine administration in µ-opioid receptor
knock-out mice and their wild-type littermates. We also investigated
the rewarding properties of nicotine by using the conditioning
place-preference paradigm and the development of physical dependence
after chronic nicotine treatment in both mutant and wild-type mice.
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MATERIALS AND METHODS |
Animals. The generation of mice lacking µ-opioid
receptors has been described previously (Matthes et al., 1996 ). Mice
were housed five per cage in a temperature-controlled room (21 ± 1°C) with a 12 hr light/dark cycle (lights between 8 A.M. and 8 P.M.). Food and water were available ad libitum. Mice were
habituated to their new environment and handled for 1 week before the
experimental procedure was started. The mice (8-12 weeks old) used in
this study were on a C57/BL6 genetic background. These were obtained from hybrid mutant mice originally created on a 129 SVJ-C57/BL6 background (Matthes et al., 1996 ) by backcrossing breeding over 10 generations. In each experimental group, mice were matched for age and
sex. Animal procedures were conducted in accordance with the guidelines
of the European Communities Directive 86/609/EEC regulating animal
research and approved by the local ethical committee. The observer was
blind to genotype and treatment in all the experiments.
Drugs. ( )-Nicotine hydrogen tartrate salt
[( )-1-methyl-2(3-pyridyl) pyrrolidine] and mecamylamine
hydrochloride (Sigma, Madrid, Spain) were dissolved in physiological
saline (0.9%) and administered by subcutaneous route in a volume of 10 ml/kg.
Locomotor activity. The locomotor responses induced by
nicotine hydrogen tartrate salt (0.5, 0.7, 1, and 3 mg/kg, s.c.) or saline administration were measured by using individual locomotor activity boxes (9 × 20 × 11 cm; Imetronic) as reported
previously (Castañé et al., 2002 ).
Tail-immersion and hot-plate tests. The tail-immersion test
was measured 15 min after nicotine hydrogen tartrate salt (1 and 3 mg/kg, s.c.) or saline administration as described previously (Simonin
et al., 1998 ). The water temperature was maintained at 50 ± 0.5°C using a thermo-regulated water-circulating pump (Clifton, North
Somerset, UK). The trial was terminated once the animal flicked its
tail. In the absence of tail flick, a 15 sec cutoff was used to prevent
tissue damage.
The hot-plate test was performed as described previously (Simonin et
al., 1998 ) 16 min after nicotine hydrogen tartrate salt (1 and 3 mg/kg,
s.c.) or saline injection. The heated surface of the plate was kept at
a temperature of 52 ± 0.1°C (Columbus Instruments, Columbus,
OH). The nociceptive threshold evaluated was the jumping response. In
absence of jumps, a 240 sec cutoff was used to prevent tissue damage.
The data obtained were expressed as absolute values (see Table 1) and
as percentage of maximum possible effect (see Fig. 2) using the
following equation (MPE %) = (test latency control latency)/(cutoff time control latency) × 100.
Conditioning place preference. The rewarding effects of
nicotine were evaluated by using the conditioning place-preference paradigm as described recently (Castañé et al., 2002 ). The
apparatus consisted of two main square conditioning compartments
separated by a triangular central division. During the preconditioning
phase, each mouse was placed in the middle of the central division and had free access to both compartments of the conditioning apparatus for
18 min, with the time spent in each compartment recorded. Treatments
were counterbalanced between compartments to use an unbiased procedure.
No initial place preference or aversion for the different compartments
was observed in the experiment. For the conditioning phase, mice were
treated during 8 d with alternate injections of nicotine hydrogen
tartrate salt (0.5, 0.7, and 1 mg/kg, s.c.) or saline. Mice were
confined to the corresponding compartment immediately after
injection for 20 min. Nicotine was administered on days 1, 3, 5, and 7, and saline was administered on days 2, 4, 6, and 8. Control
animals received saline every day. The test phase was conducted as in
the preconditioning phase, i.e., free access to both compartments for
18 min, and the time spent in each compartment was recorded. A score
was calculated for each mouse as the difference between test and
preconditioning time spent in the drug-paired compartment.
Nicotine dependence and withdrawal. Nicotine dependence was
induced by using Alzet osmotic minipumps (Model 2001; Alzet, Cupertino, CA) as reported previously (Castañé et al., 2002 ). These
minipumps, implanted subcutaneously under brief ether anesthesia,
contained saline or nicotine solutions and delivered a constant
subcutaneous flow at a rate of 1 µl/hr. The concentration of nicotine
was adjusted to compensate for differences in body weights of the mice.
Thus, the average-weighed mice received a dose of ~10
mg · kg 1 · d 1
nicotine hydrogen tartrate salt during 6 d. Nicotine withdrawal syndrome was precipitated 6 d after minipump implantation by
injection of the nicotinic receptor antagonist, mecamylamine (1 mg/kg,
s.c.). The somatic signs of withdrawal were evaluated immediately after mecamylamine injection during a period of 30 min, as reported previously (Castañé et al., 2002 ). The number of wet dog
shakes, front paw tremors, and scratches was counted. Body tremor,
ptosis, teeth chattering, genital licks, and piloerection were scored 1 for appearance or 0 for nonappearance within each 5 min time. The
locomotor activity over 5 min periods was rated 0, 1, or 2 (0 for
inactivity, 1 for low activity, and 2 for normal activity). A global
withdrawal score was calculated for each animal by giving each
individual sign a relative weight, as reported previously (Castañé et al., 2002 ).
Statistical analysis. Results in all experiments were
compared by using a between subjects two-way ANOVA (genotype and
treatment as factors of variation). Individual treatment effects in
each group (mutant and wild-type) were analyzed using one-way ANOVA between subjects. Post hoc comparisons were made when
required by using Dunnett's test after significant main effects of
treatment by one-way ANOVA. Differences were considered significant if
the probability of error was <5%.
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RESULTS |
Nicotine decreased locomotion in wild-type and µ-opioid
receptor knock-out mice
On days 1, 2, and 3, animals were exposed to the locomotor
activity boxes to be habituated to the test environment (data not shown), and acute effects of nicotine (1 and 3 mg/kg, s.c.) were evaluated on day 4. Nicotine decreased locomotion in µ-opioid receptor knock-out mice and wild-type littermates (Fig.
1). Two-way ANOVA revealed a significant
effect of treatment on the horizontal activity
(F(2,54) = 35.73; p < 0.0001) but not effect of genotype (F(1,54) = 0.72; NS) or interaction
between treatment and genotype (F(2,54) = 0.16; NS). Subsequent
one-way ANOVA (treatment) indicated a significant effect of treatment
in wild-type (F(2,27) = 21.04; p < 0.0001) and knock-out mice
(F(2,27) = 15.99; p < 0.0001). Post hoc analysis showed a similar decrease of
horizontal activity when nicotine was administered in wild-type (1 and
3 mg/kg: p < 0.01) and µ-opioid receptor knock-out
mice (1 mg/kg: p < 0.05; 3 mg/kg: p < 0.01) (Fig. 1A).

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Figure 1.
Effects of acute nicotine on locomotion in
µ-opioid receptor knock-out and wild-type mice. Horizontal
(A) and vertical (B)
locomotion were measured 5 min after nicotine administration (0, 1, and
3 mg/kg, s.c.). Data are expressed as mean ± SEM of photocell
counts during a 10 min period in wild-type (white bars)
and knock-out (black bars) mice (n = 10 mice for each group). p < 0.05;  p < 0.01 when comparing
with saline group of the same genotype (Dunnett test).
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Two-way ANOVA also revealed a significant effect of treatment on the
vertical activity (F(2,54) = 22.76;
p < 0.0001), without effect of genotype
(F(1,54) = 2.58; NS) or interaction
between these two factors (F(2,54) = 1.08; NS). One-way ANOVA revealed significant effect of treatment in
wild-type (F(2,27) = 13.88; p < 0.0001) and knock-out mice
(F(2,27) = 11.21; p < 0.001). Post hoc comparisons showed a similar reduction of
vertical activity in both genotypes at the doses of nicotine used (1 and 3 mg/kg; p < 0.01) (Fig.
1B).
In an additional experiment, locomotor effects induced by lower doses
of nicotine were evaluated (data not shown). Nicotine administered at
the dose of 0.7 mg/kg (s.c.) also induced a similar decrease of
locomotor activity in wild-type and knock-out mice as revealed by
two-way ANOVA on horizontal (treatment:
F(1,34) = 12.34, p < 0.01; genotype: F(1,34) = 0.38, NS;
interaction: F(1,34) = 0.15, NS) and
vertical (treatment: F(1,34) = 8.35, p < 0.01; genotype:
F(1,34) = 0.48, NS; interaction:
F(1,34) = 0.05, NS) locomotion. A
lower dose of nicotine (0.5 mg/kg, s.c.) did not modify locomotion even
in wild-type mice.
Nicotine antinociception was reduced in µ-opioid receptor
knock-out mice
Nicotine-induced antinociceptive responses (1 and 3 mg/kg, s.c.)
were decreased in µ-opioid receptor knock-out as compared with
wild-type mice in the hot-plate and tail-immersion tests (Fig.
2, Table
1). The spontaneous nociceptive responses
of both genotypes were similar in the tail-immersion test. However, the spontaneous latency of the jumping response in the hot-plate test was
lower in mutant than in wild-type mice (Table 1), as reported (Matthes
et al., 1998 ). In the hot-plate test, two-way ANOVA showed a
significant effect of treatment
(F(2,54) = 20.76; p < 0.0001), genotype (F(1,54) = 10.99;
p < 0.01), and interaction between treatment and
genotype (F(2,54) = 6.93;
p < 0.01). Subsequent one-way ANOVA revealed
significant effects of treatments in wild-type (F(2,27) = 13.72; p < 0.0001) and knock-out mice (F(2,27) = 15.75; p < 0.0001). Nicotine induced an
antinociceptive response at the dose of 3 mg/kg
(p < 0.01) in both wild-type and knock-out mice as revealed by post hoc comparisons. Post hoc
analysis also showed a reduction of nicotine-induced antinociception in
µ-opioid receptor knock-out when compared with wild-type mice at the
doses of 1 mg/kg (p < 0.05) and 3 mg/kg
(p < 0.01) (Fig. 2A).

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Figure 2.
Antinociceptive effects of acute nicotine in
µ-opioid receptor knock-out and wild-type mice. Antinociceptive
responses in the hot-plate (A) and tail-immersion
(B) tests were measured 15 and 16 min,
respectively, after nicotine administration (0, 1, and 3 mg/kg, s.c.).
Data are expressed as mean ± SEM of percentage of maximum
possible effect in wild-type (white bars) and knock-out
(black bars) mice (n = 10 mice for
each group).  p < 0.01 when
comparing with saline group of the same genotype.
p < 0.05;
 p < 0.01 when comparing
between genotypes (Dunnett test).
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In the tail-immersion test, two-way ANOVA revealed a significant effect
of treatment (F(2,54) = 6.40;
p < 0.01) and no effect of genotype
(F(1,54) = 2.36; NS) or interaction
between treatment and genotype
(F(2,54) = 1.24; NS). However,
subsequent one-way ANOVA (treatment) indicated a significant effect of
treatment only in wild-type (F(2,27) = 6.54; p < 0.01) and not in knock-out mice
(F(2,27) = 1.07; NS). Post
hoc comparisons showed that nicotine induced antinociception only
in wild-type mice at the dose of 3 mg/kg (p < 0.01) (Fig. 2B) when compared with the saline group.
Nicotine did not produce rewarding responses in the
place-preference paradigm in µ-opioid receptor knock-out mice
A significant rewarding effect of nicotine (0.5 mg/kg, s.c.) was
observed in the place-conditioning paradigm in wild-type but not in
µ-opioid receptor knock-out mice (Fig.
3A). Thus, two-way ANOVA
indicated treatment effect (F(1,53) = 14.96; p < 0.001), no genotype effect
(F(1,53) = 0.0035; NS), and a
significant interaction between these two factors
(F(1,53) = 6.424; p < 0.05). Subsequent one-way ANOVA revealed that nicotine produced a
conditioned place preference for the nicotine-assigned compartment in
wild-type mice (p < 0.01), whereas no effect
was observed in knock-out mice. Nicotine administered at the dose of
0.7 mg/kg (s.c.) also produced conditioned place preference in
wild-type but not in µ-opioid receptor knock-out animals, as
indicated by two-way ANOVA (treatment: F(1,49) = 1.24, NS; genotype:
F(1,49) = 0.20, NS; interaction: F(1,49) = 5.76, p < 0.05) (Fig. 3B). One-way ANOVA revealed a significant
rewarding effect of nicotine (0.7 mg/kg, s.c.) in wild-type mice
(p < 0.01) and no effect in knock-out mice. The administration of a higher dose of nicotine (1 mg/kg, s.c.) did not
induce rewarding responses in any genotype, as revealed by two-way
ANOVA (treatment: F(1,36) = 0.19, NS;
genotype: F(1,36) = 0.128, NS;
interaction: F(1,36) = 0.08, NS) (Fig.
3C).

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Figure 3.
Rewarding effects of nicotine in µ-opioid
receptor knock-out and wild-type mice. Data are expressed as mean ± SEM of score values in wild-type (white bars) and
knock-out (black bars) mice (n = 10-15 mice for each group). Nicotine was administered subcutaneously
at doses of 0.5 (A), 0.7 (B), and 1 mg/kg (C)
immediately before each conditioning session.
 p < 0.01 when comparing with
saline group of the same genotype (one-way ANOVA).
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Somatic expression of nicotine withdrawal is attenuated in
µ-opioid receptor knock-out mice
During the behavioral observation performed before
mecamylamine administration, no somatic signs of withdrawal were
observed in any group of animals. After mecamylamine injection,
nicotine withdrawal syndrome was manifested by the presence of various somatic signs in mice receiving chronic nicotine perfusion, as reported
previously (Castañé et al., 2002 ). The intensity of the
withdrawal syndrome was decreased in µ-opioid receptor knock-out mice, as shown by two-way ANOVA calculated for global withdrawal scores
(treatment: F(1,88) = 45.96, p < 0.0001; genotype:
F(1,88) = 6.97, p < 0.01; interaction:
F(1,88) = 5.54, p < 0.05) (Fig. 4, Table 2). Wild-type and
knock-out mice receiving chronic nicotine showed significant increases
in the global withdrawal scores compared with saline-treated controls
(p < 0.01). A significant decrease of
withdrawal was observed in nicotine-treated knock-out mice compared
with nicotine-dependent wild-type animals (p < 0.01) (Fig. 4, Table 2). The most prominent sign attenuated in mutant mice was teeth chattering, as revealed by two-way ANOVA (treatment: F(1,88) = 15.60, p < 0.001; genotype: F(1,88) = 5.73, p < 0.05; interaction:
F(1,88) = 6.76, p < 0.05), (Table 2).

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Figure 4.
Mecamylamine-precipitated nicotine withdrawal in
µ-opioid receptor knock-out and wild-type mice. Abstinence was
precipitated by acute mecamylamine administration (1 mg/kg, s.c.) after
6 d of nicotine perfusion (10 mg · kg 1 · d 1) by
using subcutaneous minipumps. A global withdrawal score was calculated
for each animal by giving each individual sign a relative weight. Data
are expressed as mean ± SEM in wild-type (white
bars) and knock-out (black bars) mice
(n = 20-25 mice for each group).
 p < 0.01 when comparing with
saline group of the same genotype.
 p < 0.01 when comparing
between genotypes (one-way ANOVA).
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DISCUSSION |
The present results clearly demonstrate the involvement of
µ-opioid receptors in several behavioral responses induced by
nicotine and strongly support a functional interaction between nicotine and the opioid system. Thus, antinociception and nicotine withdrawal symptoms were reduced in mice lacking µ-opioid receptors. Moreover, nicotine did not produce rewarding effects in these mutant mice.
Nicotine antinociception was evaluated in the tail-immersion and
hot-plate tests. However, a more intense and reliable nicotine antinociceptive effect was observed in the hot-plate test. The spontaneous latency of the jumping response in the hot-plate test was
lower in control mutant than in wild-type mice, indicating a higher
sensitivity of µ-opioid receptor-deficient mice to painful stimuli in
these experimental conditions, as reported previously (Matthes et al.,
1998 ). Nicotine-induced antinociception in the hot-plate test was
significantly reduced in µ-opioid receptor knock-out mice, suggesting
that this receptor is recruited to produce nicotine antinociception.
The reduced jumping response observed in knock-out mice cannot be
attributed to a motor impairment. Indeed, the spontaneous locomotion
and nicotine-decreased locomotion were similar in both genotypes. In
agreement with our results, several studies have reported that the
opioid system could play a role in modulating nicotine antinociception.
Thus, naloxone decreased nicotine-induced antinociception in the
formalin test (Zarrindast et al., 1997 ) as well as the potentiation of
this effect elicited by the coadministration of nicotine and morphine in the tail-flick test (Zarrindast et al., 1996 ). In support of these
pharmacological data, molecular studies have shown that acute nicotine
increases preproenkephalin mRNA levels in rat striatum and hippocampus
(Houdi et al., 1998 ), and chronic nicotine decreases met-enkephalin
levels in the rat striatum and develops tolerance to
antinociception (Wewers et al., 1999 ). Interestingly, this last study
also reported an upregulation of µ-opioid receptors to compensate for
the reduction in met-enkephalin contents after chronic nicotine. Taken
together, these data indicate a role of µ-opioid receptors in
nicotine-induced antinociception. Furthermore, the colocalization of
nAChRs and µ-opioid receptors in several central structures related
to supraspinal and spinal nociceptive control, such as thalamus and the
dorsal horn of the spinal cord (Mansour et al., 1995 ; Marubio et al.,
1999 ), suggests the hypothesis of an interaction between
nicotine and µ-opioid receptors to regulate nociception. In contrast
with the present results on antinociception, nicotine produced the same
decrease in locomotion in both wild-type and mutant mice. This topic
was not investigated previously by pharmacological studies.
Nicotine, like other drugs of abuse, activates the mesocorticolimbic
dopamine system (Pontieri et al., 1996 ) and induces rewarding properties in rodents (Picciotto et al., 1998 ). Nicotine produces conditioned place preference only under a narrow range of doses. Indeed, nicotine rewarding properties show a bell-shaped curve pattern
in the place-preference paradigm. Thus, intermediate doses are
effective, low doses are ineffective, and high doses are ineffective or
even aversive (Risinger and Oakes, 1995 ). Nicotine did not induce
rewarding effects in any genotype at the dose of 1 mg/kg, but it
produced a clear place preference in wild-type mice when administered
at the dose of 0.5 mg/kg, as reported previously (Risinger and Oakes,
1995 ; Castañé et al., 2002 ). At the dose of 0.7 mg/kg,
nicotine also induced rewarding effects in wild-type animals. However,
these effective doses of nicotine failed to reveal any conditioned
response in mice lacking µ-opioid receptors. The absence of rewarding
effects observed in knock-out mice cannot be attributed to a locomotor
inhibition because a similar decrease of locomotor activity was induced
by nicotine at the dose of 0.7 mg/kg in both genotypes. µ-Opioid
receptors also seem to be crucial in mediating rewarding properties of
other drugs of abuse such as morphine (Matthes et al., 1996 ), ethanol
(Roberts et al., 2000 ), and
9-tetrahydrocannabinol (Ghozland
et al., 2002 ). However, µ-opioid receptor knock-out mice did not
present a general impairment in the performance for rewarding stimuli.
Indeed, the same line of µ-opioid receptor knock-out mice showed an
appropriate learning to respond for food reward in an operant paradigm
(Roberts et al., 2000 ). A possible interaction on dopaminergic
mesolimbic activity could explain the present findings because nAChRs
and µ-opioid receptors are highly expressed in these areas (Mansour et al., 1995 ; Picciotto et al., 1998 ). In addition, the activation of
both µ-opioid receptors and nAChRs induces release of dopamine in the
shell of the nucleus accumbens (Pontieri et al., 1996 ). However, the
pharmacological approach failed to reveal this nicotine/opioid interaction when using the self-administration paradigm (Corrigall and
Coen, 1991 ).
Finally, nicotine abstinence was precipitated by mecamylamine in
chronic nicotine-treated mice. Previous studies have characterized the
behavioral manifestations of nicotine withdrawal in rodents (Hildebrand
et al., 1999 ; Castañé et al., 2002 ). Some common mechanisms
underlying opioid and nicotine dependence have been suggested recently
(Malin, 2001 ). Thus, the opioid antagonist naloxone is able to
precipitate withdrawal after chronic nicotine treatment (Malin et al.,
1993 ), whereas morphine attenuates spontaneous nicotine withdrawal
(Malin et al., 1993 ). Conversely, nicotine also reduces
naloxone-precipitated morphine withdrawal (Zarrindast and Farzin,
1996 ). In addition, the opioid antagonist naltrexone has been shown to
reduce the tobacco consumption rate and satisfaction with smoking in
humans (Wewers et al., 1998 ). In our experimental conditions, we have
observed an attenuation of the somatic expression of nicotine
withdrawal in the absence of µ-opioid receptors, indicating that
these receptors could modulate nicotine physical dependence. Although
further experiments will be necessary to elucidate the nature of this
interaction, the release of endogenous opioids by nAChR stimulation and
subsequent activation of µ-opioid receptors could explain at least
some of these findings.
In conclusion, our data clearly demonstrate an involvement of the
opioid system, through µ receptors, in modulating some behavioral responses induced by nicotine and improve the understanding of the
neurobiological bases of nicotine addiction.
 |
FOOTNOTES |
Received April 30, 2002; revised Sept. 17, 2002; accepted Sept. 26, 2002.
This work has been supported by grants from Plan Nacional Sobre Drogas,
European Communities BIOMED2 (98-2227), Human Frontier Science Program
Organization (RG0077/2000-B), Generalitat de Catalunya (Research
Distinction), and Laboratorios Dr. Esteve.
Correspondence should be addressed to Rafael Maldonado,
Laboratori de Neurofarmacologia, Facultat de Ciéncies de la Salut i de la Vida, Universitat Pompeu Fabra, C/Doctor Aiguader 80, 08003 Barcelona, Spain. E-mail:
rafael.maldonado{at}cexs.upf.es.
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