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Vol. 54, Issue 3, 569-576, September 1998
2C-Adrenoceptor-Overexpressing Mice Are Impaired
in Executing Nonspatial and Spatial Escape Strategies
Department of Neurology and Neuroscience, University of Kuopio, Kuopio, FIN-70211, Finland (M.B., J.P., P.J., P.R.), A. I. Virtanen Institute, FIN-70211 Kuopio, Finland (J. Si.), Department of Pharmacology and Clinical Pharmacology, University of Turku, FIN-20520 Turku, Finland (J. Sa., M.S.), Kuopio University Hospital, FIN-70211 Kuopio, Finland (P.J., P.R.), and Department of Molecular and Cellular Physiology, Howard Hughes Medical Institute and Division of Cardiovascular Medicine, Stanford University, Stanford, California 94305 (R.K.K.)
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Summary |
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Drugs acting via
2-adrenoceptors modulate cognitive
functions mediated via frontostriatothalamic feedback loops. The
2C-adrenoceptor subtype is expressed in the basal
ganglia, hippocampus, and neocortex, areas that are involved in memory
and other cognitive functions.
2C-Overexpressing (OE)
mice were impaired in spatial or nonspatial water maze (WM) tests, and
2 antagonist treatment fully reversed the WM escape
defect in OE mice. However,
2C-overexpression did not
influence open field and passive avoidance behaviors or cortical EEG
arousal or the actions of
2 agonist or antagonist drugs
on these functions. Our results suggest that
2C-adrenoceptors can modulate navigation to a hidden or
visible escape platform, whereas many other actions of
2-adrenergic agents, such as sedation, are not mediated
via
2C-adrenoceptors. Therefore,
2-agonists lacking
2C-AR affinity or
2C-AR subtype-selective
2 antagonists could modulate functioning of frontostriatothalamic feedback loops more
effectively than the current subtype-nonselective drugs.
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Introduction |
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LC
norepinephrine neurons send noradrenergic fibers into different
forebrain structures (Fillenz, 1990
) and modulate different cognitive
functions, such as arousal, attention, and planning (Crow, 1968
; Kety,
1970
; Arnsten and Goldman-Rakic, 1985
; Arnsten and Leslie, 1991
;
Riekkinen et al., 1992
; Sahakian et al., 1994
; Arnsten et al., 1996
; Coull et al., 1996
).
Because ARs are located both presynaptically and postsynaptically, it
is not surprising that pharmacological studies have found that
noradrenergic
2-AR agonists and antagonists
can affect many behaviors mediated by different neural systems.
2-ARs are divided into three different subtypes, termed
2A-,
2B-, and
2C-ARs
(Kobilka et al., 1987
; Regan et al., 1988
;
Lomasney et al., 1990
; Link et al., 1992
), and
all these subtypes have distinct anatomic distributions in brain areas
involved in separate functional systems (Nicholas et al.,
1993
, 1996
; Aoki et al., 1994
; Scheinin et al.,
1994
; MacDonald and Scheinin, 1995
; Rosin et al., 1996
;
Talley et al., 1996
).
2A-ARs are
located in the LC, elsewhere in the brainstem, and throughout the
cerebral cortex and many deeper forebrain structures;
2B-ARs are found nearly exclusively in the
thalamic nuclei; and
2C-ARs are located in the
hippocampus, cerebral cortex, and striatum. Importantly, in the caudate
and accumbens nuclei,
2C-ARs predominate, suggesting that this receptor subtype may mediate effects of
2 agonists and antagonists on modulation of
cognitive functions via frontostriatothalamic feedback loops.
The behavioral functions of different subtypes of
2-ARs have been difficult to study because
there are no ligands that selectively activate or block only one of the
three subtypes. Therefore, to study the role of different
2-ARs in behavioral functions and to better
evaluate the potential for cognition-enhancement by subtype-selective
2-AR active drugs, we have started to
investigate the effects of overexpression and knockout of
2-AR subtype genes on different behaviors in
mice and how these manipulations affect reactions to
subtype-nonselective
2-AR agonists and
antagonists (MacDonald et al., 1997
). Sallinen et
al. (1997)
found that spontaneous locomotor activity and the
effects of an
2-agonist or -antagonist on
brain monoamine turnover and on motor activity were not influenced by
altered
2C-AR expression. However, mice with
tissue-specific overexpression of
2C-AR were
slightly more sensitive and KO mice were less sensitive to the
hypothermic effects of the agonist DEX than their controls. The OE mice
have ~3-fold elevated densities of
2C-AR in
regions that normally express this subtype (the caudate-putamen and CA1
region of the hippocampus) (Sallinen et al., 1997
). In KO
mice, the total
2-AR density is diminished in
brain areas normally expressing the
2C subtype
(Link et al., 1995
). In this study, cue and spatial WM
navigation were evaluated in OE mice and control (WT) mice and spatial
navigation was evaluated in KO mice and CKO because our previous
studies have shown that
2-AR agonists may
modulate performance in these tests (Sirviö et al., 1991
, 1992
). Furthermore, to study the specificity of the WM navigation changes observed in OE mice, we also compared behaviors of WT and OE
mice in OF and PA tests (Riekkinen et al., 1992
). In
addition, cortical EEGs were investigated. All these tests are
modulated by
2-adrenergic drugs (Riekkinen
et al., 1990
, 1993
). The OF test is a measure of anxiety;
thus if animals are anxious, they will spend more time in the
peripheral annulus of the OF arena. In the WM task, the escape platform
is located in the middle annulus, and anxiety-induced swimming in the
peripheral annulus reduces the chances to find the platform. The PA
test measures stimulus-response learning. We aimed to test whether OE
mice have a learning defect in the PA paradigm. Cortical EEG monitoring
was performed to detect differences in general arousal. An appropriate
state of arousal is needed to perform accurately in the WM test. We
also studied whether OE mice have an altered response to the sedative
action of
2-adrenergic drugs. The effects of
2C-AR overexpression may be due to an increase
in basal and agonist-activated signal transduction mediated through
this receptor subtype. Elevated levels of receptor expression can lead
to an increase in basal, constitutive signal transduction, which can
mimic agonist activation (Samama et al., 1997
). To examine
the role of enhanced signaling of
2C-AR on the
defect in WM performance in OE and WT mice, we examined the effect of
ATI, a highly
2-AR-specific but not
subtype-selective antagonist. Furthermore, to assess the role of
2C-ARs in the sedative actions of
2-AR agonists in WT and OE mice, we also compared the effect of DEX, a highly specific
2-AR agonist that does not differentiate
between
2-AR subtypes. There has been no
rigorous evaluation of ectopic
2C expression
in brain regions outside those normally expressing
2C-AR. Such ectopic expression could account
for the differences seen in OE and WT mice in their WM behavior. To
study the problem of ectopic expression, we used KO mice in a control
WM study.
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Materials and Methods |
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Animals
Adult (3-5 months old;: weight, 20-28 g) female FVB/N (control
mice for OE mice, WT) and FVB/N-TgNAdra2C (OE) (both OE and WT mice
were from Stanford University Medical Center, Stanford, CA) were used
in the study (total, 109 OE and 106 WT mice). This strain of
genetically engineered mice, which has tissue-specific overexpression
of
2C-ARs, was generated at Stanford
University by pronuclear injection using standard methods. OE mice have
~3-fold elevated densities of
2C-AR in their
caudate-putamen and CA1 region of the hippocampus (Sallinen et
al., 1997
).
Adult (3-5 months old; weight, 20-28 g) female C57BL/6J for CKO and
KO mice also were used in the study (total, 34 KO and 33 CKO mice). A
strain of genetically engineered mice that had targeted inactivation of
the
2C-AR gene was generated at Stanford University (both KO and CKO mice were from Stanford University Medical
Center). KO mice do not express a functional
2C transcript (Link et al., 1995
).
All the mice used in the current experiments were bred in the Central Laboratory Animal Facility of the University of Turku, Finland, according to standard procedures. The mice were housed five per cage. The housing conditions (National Animal Center, Kuopio, Finland) were controlled; constant temperature (21 ± 1°), humidity (50-60%), and light period (lights on from 7:00 a.m. to 7:00 p.m.) were maintained; and food and fresh water were freely available. All experiments were performed during the light period. The study was approved by the Animal Welfare Committee of the University of Kuopio.
Drugs
ATI (3-300 µg/kg; Orion Corporation Farmos, R & D
Pharmaceuticals, Turku, Finland), a selective
2 antagonist (Scheinin et al.,
1988
; Virtanen et al., 1989
), and DEX (0.5-300 µg/kg;
Orion Corporation Farmos, R & D Pharmaceuticals), a selective
2 agonist (MacDonald et al., 1991
;
Savola and Virtanen, 1991
), were dissolved in saline and injected
subcutaneously (5 ml/kg). ATI and DEX were injected 20 min before daily
behavioral testing, and for four WM groups, ATI (30-300 µg/kg) was
administered immediately after daily training.
WM
Cue and spatial navigation were evaluated in a WM pool (black; diameter, 59 cm). Four starting points (north, south, east, and west) were located at the pool rims. A black 3.5- × 3.5-cm platform was located in the middle annulus, 0.5 cm above (visible) or 1 cm below (hidden) the water line. The visible platform had a 10-cm-high white mast. The location of the visible platform was changed daily during the visible platform training (cue navigation), but the hidden platform (place navigation) was kept in a fixed place. The mice were facing the wall and were gently released to begin the first daily trial from the starting position farthest from the platform. The other four trials were started in a semirandom order. Five trials with a cutoff value of 50 sec were tested every day (5-sec reinforcement on the platform). The mice that did not find the platform were placed on it for 5 sec. A 30-sec recovery period was allowed between the trials. A computerized video monitoring system (HVS Image, Hampton, UK) calculated the number of animals that failed to find the platform, swimming speed, and swimming in three annuli of equal surface area. Our preliminary data showed that the KO mice and their controls performed better than OE mice and their controls in the WM task. The KO and CKO mice completed the task (i.e., they found the platform) almost every time. Therefore, the parameter "platform finding" (completing the task) was too insensitive to detect any difference between CKO and KO mice, so we applied here a widely used measure, swimming distance (i.e., the distance the animals swam before completing the task or reaching the cutoff time value).
Experiment 1. We used the following treatments for both the WT and the OE mice: saline, ATI 30 and 300 µg/kg (15 OE or WT mice/group). First, we trained the mice to find a visible platform (cue navigation) that was moved every day to a novel position. Training continued for 5 consequent days (five trials/day as described above).
Next, we trained the mice for 2 days without drug treatment to find a visible platform that was moved every day to a new location. After this, the mice were trained to find a hidden platform (spatial version of the WM task). The platform was kept in the same position throughout the 5-day training period. Daily sessions were similar to the visible platform version.Experiment 2. The following treatments were used for both the WT and the OE mice: saline, ATI 30 and 300 µg/kg immediately after daily training (11-13 OE or WT mice/group). These mice had only 5 days of hidden platform training.
Experiment 3. The following treatments were used for both the CKO and the KO mice: saline, DEX 0.5 and 10 µg/kg (10-13 KO or CKO mice/group). These mice had only 3 days of hidden platform training.
Cortical EEG measurements
Two stainless steel screws acting as epidural recording
electrodes were bilaterally implanted 1.0 mm anterior and 2.0 mm
lateral to bregma. Two additional screws acting as indifferent and
ground electrodes were implanted in the nasal bone and above the
cerebellum. The effects of DEX (3-300 µg/kg) and ATI (3-300
µg/kg) on cortical EEG activity were measured by recording five
4-sec-long artifact-free EEG episodes with relaxed waking-immobile
animals (24 OE and 22 WT). EEG spectra were divided into the frequency
bands of 1-4 Hz
, 4-8 Hz
, 8-12 Hz
, 12-20 Hz
, and two
upper frequency bands of 20-30 and 30-60 Hz.
OF
A dry Morris WM pool was used to perform an OF task. The mice were placed on the bottom of the pool with the nose pointing toward the wall. A computer connected to an image analyzer calculated the total walking distance, walking speed, and time spent in the three annuli. Effects of SAL and DEX and ATI were tested. One 50-sec trial of free exploration was given to all mice.
PA
A single training trial step through PA test was conducted after the WM study. In the training trial, the experimenter injected the mice with SAL, DEX (2.0, 5.0, or 20.0 µg/kg), or ATI (30 or 300 µg/kg); 20 min later, the mice were placed at the far end of the bright side of the PA box and the guillotine door was opened 30 sec later. The latency to enter the dark side was measured. Ten seconds after the entry (all four paws inside), an electric shock (DC current 0.20 mA, 3-sec duration; Shock Source 521 C, Campden Instruments, Leicestershire, UK) was given. After 24 hr, the mouse was placed again on the bright side, and 30 sec later, the guillotine door opened (testing trial; maximum testing time of 360 sec as a cutoff value). The reentry latency was measured.
Statistics
The effects of strain, drug treatment, and their interaction (strain × treatment) were evaluated using analysis of variance for repeated measurements and simple factorial analysis of variance.
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Results |
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WM experiment 1: ATI 30 and 300 µg/kg before daily training
Effects of
2C overexpression on WM escape
behavior.
Visible platform days 1-5. Compared with WT
mice, OE mice did not find the visible platform as accurately [strain:
F(1,28) = 19.251, p < 0.001] (Fig.
1A). During visible platform training, the swim pattern of OE mice was not different from WT mice as they swam
equally in the peripheral, middle, and inner annuli [strain:
F(1,28)
4.11, p
0.052, for all].
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5.30, p
0.03, for all].
OE mice swam at a slower speed than WT mice [strain:
F(1,27)
5.14, p
0.032, for all
stages] during all of the training stages (Table
1).
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Effects of ATI 30 µg/kg on WM escape behavior. Visible platform. ATI 30 µg/kg only tended to improve platform finding in WT and OE mice [treatment: F(1,56) = 3.737, p = 0.058] (Fig. 1A). ATI 30 µg/kg decreased swimming in the peripheral annulus [treatment: F(1,56) = 14.99, p = 0.001]. ATI 30 µg/kg increased swimming in the middle annulus, which contained the platform, more effectively in OE mice than in WT mice [treatment: F(1,56) = 14.14, p = 0.001, strain × treatment: F(1,56) = 7.40, p = 0.009). ATI 30 µg/kg did not affect swimming in the inner annulus [treatment: F(1,56) = 2.97, p > 0.05].
Visible platform days 6-7/ATI 30 µg/kg discontinued. The WT and OE mice that were treated with ATI 30 µg/kg on days 1-5 did not differ in swim speed, escape distance, and swimming in the three different annuli significantly from their controls [treatment: F(1,56)
3.9, p > 0.05, for all] (Fig.
1B).
Hidden platform days 8-12. ATI 30 µg/kg treatment
increased platform finding in WT mice but was ineffective in OE mice
[treatment: F(1,54) = 14.137, p = 0.001;
strain × treatment: F(1,54) = 6.819, p = 0.012] (Fig. 1C). ATI 30 µg/kg decreased swimming in the
peripheral annulus and increased swimming in the middle annulus
[treatment: F(1,56)
4.69, p < 0.05, for
both]. ATI 30 µg/kg increased swimming in the inner annulus in WT
mice but not in OE mice [treatment: F(1,56) = 9.32, p = 0.003; strain × treatment: F(1,56) = 4.13, p = 0.047].
ATI 30 µg/kg had no effect on swim speed [treatment:
F(1,56) < 1.19, p >0.1, for visible and hidden
platform training; Table 1].
Effects of ATI 300 µg/kg on WM escape behavior. Visible platform. ATI 300 µg/kg improved visible platform finding in OE mice more effectively than in WT mice [treatment: F(1,56) = 14.022, p = 0.001; strain × treatment: F(1,56) = 5.548, p = 0.022] (Fig. 2A). ATI 300 µg/kg decreased swimming in the peripheral annulus equally in WT and OE mice [treatment: F(1,56) = 32.16, p < 0.001; strain × treatment: F(1,56) = 0.61, p > 0.1]. ATI 300 µg/kg did not affect swimming in the middle annulus [treatment: F(1,56) = 3.58, p = 0.064] but increased swimming in the inner annulus equally in OE and WT mice [treatment: F(1,56) = 18.47, p < 0.001].
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13.19, p
0.001;
strain × treatment: F(1,55)
4.82, p
0.03, for both]. ATI 300 µg/kg significantly increased swimming
in the middle annulus in OE mice (OE vehicle versus OE ATI 300 µg/kg:
F(1, 28) = 6.05, p = 0.020] but was
ineffective in WT (WT vehicle versus WT ATI 300 µg/kg:
F(1,27) = 0.18, p > 0.1] mice [treatment:
F(1,55) = 1.39, p > 0.1; strain × treatment: F(1,55) = 3.44, p = 0.069].
ATI 300 µg/kg decreased swimming speed during visible platform
training [treatment: F(1,56) = 6.26, p = 0.015] but not during hidden platform training [treatment:
F(1,52) = 0.11, p > 0.1] (Table 1).
WM experiment 2: ATI 30-300 µg/kg after daily training
Effects of ATI 30-300 µg/kg after daily training on WM escape
behavior.
Hidden platform days 1-5. ATI 30-300
µg/kg after daily training had no effect on platform finding,
swimming in the peripheral, middle or inner annuli, or swim speed
[treatment: F(1,44)
1.79, p > 0.1, for
all] (data not shown).
WM experiment 3: KO DEX 0.5-10 µg/kg before daily training
Effects of KO on WM escape behavior.
KO mice found the hidden
platform as accurately as CKO mice [strain: F(1,23) = 2.065, p > 0.1]. The swimming distance of KO and CKO
mice was equal [strain: F(1,23) = 2.53, p > 0.1] (Fig. 3). During hidden platform
training, the swim pattern of KO mice was not different from CKO mice
as they swam equally in the peripheral, middle, and inner annuli
[strain: F(1,23)
1.42, p > 0.1, for all].
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Effects of DEX 0.5-10 µg/kg on WM escape behavior.
DEX 10 µg/kg increased swimming distance more effectively in CKO than in KO
mice [treatment: F(1,43) = 22.47, p < 0.001; strain × treatment: F(1,43) = 4.18, p = 0.047] (Fig. 3). DEX 10 µg/kg had no effect on
the other parameters measured [treatment: F(1,43)
1.86, p > 0.1, for all]. DEX 0.5 µg/kg had no effect on
any of the parameters measured [treatment: F(1,41)
1.93, p > 0.1, for all].
Cortical EEG measurements
WT and OE mice showed no difference in delta amplitudes measured
during base-line recordings [strain: F(1,44) = 1.82, p > 0.1]. DEX 3-300 µg/kg increased delta
amplitude in WT and OE mice [treatment: F(1,44)
5.22, p < 0.05, for all] (Fig.
4A). ATI 3 µg/kg decreased delta
amplitude [treatment: F(1,44) = 5.15, p = 0.028]. ATI 30-300 µg/kg had no effect on delta amplitude [treatment: F(1,44)
2.77, p > 0.05].
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OF
OE and WT mice had similar walking speed and explored equally the
peripheral, middle, and inner annuli [strain: F(1,18)
3.706, p
0.071, for all]. DEX 0.5-5 µg/kg and
ATI 30-300 µg/kg had no effect on walking speed or ambulation in the
peripheral, middle, and inner annuli [treatment: F(1,32)
3.1, p > 0.05, for all] (Fig. 4B).
Passive avoidance, DEX 2-20 µg/kg and ATI 30-300 µg/kg
The training and testing latencies of WT and OE mice did not
differ [strain: F(1,27)
3.8, p > 0.05, for both] (Fig. 4, C and D).
Training.
ATI 30-300 µg/kg had no effect on training
latency [treatment: F(1,53)
1.598, p > 0.1] (data not shown). DEX 2-20 µg/kg increased training latency
[treatment: F(1,34)
6.080, p
0.002] (Fig. 4C).
Testing.
ATI 30-300 µg/kg had no effect on testing latency
[treatment: F(1,53)
0.889, p > 0.1]
(data not shown). DEX 2-5 µg/kg had no effect on testing latency
[treatment: F(1,34/1,35)
2.038, p > 0.1]. DEX 20 µg/kg decreased testing latency in both WT and OE mice
[treatment: F(1,34) = 23.319, p < 0.001]
(Fig. 4D).
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Discussion |
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OE mice developed an abnormal escape pattern (Simon et
al., 1994
), characterized by increased swimming in the peripheral
annulus of the pool (near the walls), and could not find the visible or hidden platform as accurately as the WT mice. This defective
exploration pattern is likely to result from
2C-AR overexpression because a dose-response
relationship for ATI was observed. First, we observed that ATI 30 µg/kg slightly decreased swimming near pool walls during hidden and
visible platform finding in both groups, but the OE mice were impaired
compared with the WT mice at this dose. In contrast, ATI 300 µg/kg
fully blocked the abnormal search pattern in OE mice. Second, the
treatment with ATI 30 µg/kg did not stimulate accuracy to find the
platform during the visible platform stage in OE or WT mice, but during
the hidden platform stage, ATI 30 µg/kg clearly and exclusively
stimulated the accuracy of WT mice. This suggests that the low dose of
ATI 30 µg/kg is not sufficient to overcome the increased
2C-AR function in OE mice, but in WT mice it
is able to effectively antagonize
2C-AR
function and improve accuracy of WM escape behavior. In contrast, a
higher dose of the
2-AR antagonist ATI 300 µg/kg may block
2C AR function in both WT
and OE mice and thus improve WM navigation. The high dose of ATI 300 µg/kg improved visible platform finding of OE mice to equal accuracy
as that of WT mice but had no further effect in WT mice. This finding
that ATI stimulates visible platform navigation only in OE mice
indicates that the
2C-AR may play a more
crucial role in the control of those brain areas important for cue
navigation than the other
2-AR subtypes.
We evaluated the WM performance using different versions of WM
training: visible platform, visible platform without drug treatment, and hidden platform. The strategies used to locate a visible platform are different from those needed for hidden platform navigation. Visible
platform training is a nonspatial version of the WM task. During
visible platform training, animals are required to seek the clearly
visible escape platform without the need to use distal extra-maze cues.
The use of extra-maze cues is disruptive during visible platform
training because the platform location is changed daily. During the
hidden platform training, the use of extra-maze cues is unavoidable
because no intra-maze cues are present. The withdrawal of drug
treatment at the end of the visible platform training phase was aimed
at investigating whether the drug treatments had any long lasting
effects on memory of WM performance. The present findings suggest that
the
2C-AR overexpression does not impair and
ATI does not stimulate cue and spatial navigation by affecting memory
processes per se. First, the OE mice were impaired already
during the first day of training, the learning curves of WT and OE mice
remained parallel during the experiment, and ATI failed to modulate the
slope of the learning curves. Traditionally, parallel learning curves
have been related to defects in processes other than learning and
memory. Furthermore, we observed that administration of ATI 30 or 300 µg/kg immediately after daily training trials had no effect on
performance, thereby ruling out any beneficial effects on memory
consolidation processes. Finally, during the drug withdrawal training
period on days 6 and 7, the performance of mice treated with ATI during
the training days 1-5 was superior to that of saline-treated WT and OE
mice. During days 1-5, no difference existed in the escape ability of
WT and OE mice receiving daily ATI 300 µg/kg treatment, but
discontinuation of ATI on days 6 and 7 released functioning of
overexpressed
2C-ARs and disturbed the
accuracy of OE mice. Therefore, it is possible that
2C-AR overexpression disrupts the accuracy of
WM navigation by inhibiting the execution of the normal escape behavior
required for success in the WM paradigm and releases abnormal
exploration patterns. However, because OE mice treated with ATI 300 µg/kg performed better during the drug withdrawal stage than the
vehicle-treated OE mice, it is possible that
2C-ARs may also, to some extent, control
memory acquisition of cue navigation performance.
Previous studies describing the distribution of
2C-ARs and the anatomic pattern of
2C-AR overexpression (Sallinen et
al., 1997
) suggest that the striatum and CA1 region of the
hippocampus may represent regions that are under increased
2C-AR modulation in our OE mouse strain.
Therefore, it is relevant to note that behavioral studies have
characterized the consequences of brain lesions restricted to
hippocampus and ventral or dorsal striatum. Hippocampal lesions do
impair spatial navigation performance in the WM test (Marston et
al., 1993
), and this defect is believed to result from impaired
formation of new relational memory engrams and from defects in spatial
processing. A lesion of the nucleus accumbens, a region of the ventral
striatum connected with the hippocampus and the prefrontal cortex,
slightly impairs accuracy of WM navigation (Annett et al.,
1989
) by disrupting the execution of complex movement patterns. In
contrast, destruction of the dorsal striatum has no effect on spatial
navigation and selectively impairs cue navigation, indicating that this
region is involved in a brain memory system that processes a different
kind of information than the hippocampal system. Therefore, these
previous studies suggest that
2C-ARs may
modulate those brain areas involved in nonspatial and spatial memory
and also affect execution of learned escape behaviors. Indeed, we found
that KO mice were less sensitive than CKO mice to the defect in spatial
navigation induced by DEX 10 µg/kg. This finding with KO mice
supports our contention that
2C-overexpression
in anatomically relevant brain areas is responsible for the performance
defect in OE mice.
Our control studies indicated that the OE mice were not different
in other behavioral and physiological measures, providing evidence for
the specificity of the WM abnormality. We analyzed PA and OF behaviors
and cortical electrical arousal, but no differences between the OE and
WT mice were detected. The lack of a strain difference in the OF test
indicates that differences in anxiety do not play a role in the
abnormal WM search pattern of OE mice. The PA performance of OE mice
was normal, suggesting that it is not a simple defect in
stimulus-response learning, which is the foundation of the impaired WM
accuracy of OE mice (Thomas, 1996
). In addition, we tested the action
of DEX to increase and ATI to suppress cortical slow waves and observed
that
2C-AR OE did not modulate the effects of
2-AR active drugs on cortical EEG arousal (Riekkinen et al., 1990
, 1993
). EEG measurements revealed no
differences between OE and WT mice, thereby ruling out altered arousal
state as the cause of the WM defect of OE mice. Also, the defects in performance after DEX during PA training and testing trials and those
during the visible platform navigation stage were of equal magnitude in
WT and OE mice. These defects in WT and OE mice are likely to result
from the sedative effects of DEX. The need for a greater DEX dose to
disrupt WM navigation than that needed to interfere with PA behavior
may be simply related to the high arousal and pronounced LC firing rate
occurring during the WM testing.
The decreased swim speed in OE mice may not be related to
overexpression of
2C-AR because a high dose of
ATI (300 µg/kg) retarded swim speed in OE and WT mice to the same
extent. Therefore, this difference between the WT and OE mice is the
only one that may not be specifically related to overexpression of
2C-AR.
In summary, our results revealed that OE mice were impaired only
in the WM test, which requires organization of a complex escape
behavior. We also observed an alteration in the dose-response relationship of the beneficial effect of an
2
antagonist on WM performance in
2C-AR OE mice.
The poor WM performance of OE mice and the improving effect of ATI on
navigation performance are difficult to attribute simply to disrupted
learning and memory. It is likely that
2C-AR
overexpression may not impair learning per se because the OE
and WT mice had parallel learning curves, ATI 300 µg/kg treatment did
not affect the slope of the learning curves, and ATI did not improve
memory consolidation. Therefore,
2C-ARs may
modulate frontostriatothalamic feedback loops (Scheel-Krüger and
Willner, 1991
; Coull et al., 1995
) and influence complex
spatial navigation behaviors. These results raise the possibility that antagonists selective for the
2C-AR subtype
and agonists devoid of any
2C-AR affinity
could modulate cognition more favorably than subtype-nonselective
drugs. For example,
2C-AR subtype-selective antagonists could be effective in the treatment of some of the cognitive dysfunctions that are characterized by impaired
frontostriatothalamic functions, such as planning and controlling of
complex escape behavior, and are susceptible to
2-AR subtype-nonselective antagonists. Furthermore,
2-AR agonists devoid of any
2C-AR affinity may be also more effective than
the currently available
2-AR agonists in
enhancing memory and impulse control functions of prefrontal cortex
(Steere and Arnsten, 1994
).
| |
Acknowledgments |
|---|
Dr. Ewen MacDonald is acknowledged for revision of the language of the manuscript.
| |
Footnotes |
|---|
Received October 13, 1997; Accepted May 27, 1998
This study was supported by Academy of Finland, Orion Corporation Farmos, R & D Pharmaceuticals (Turku, Finland), Research and Science Foundation of Farmos, and The Finnish Medical Foundation.
Send reprint requests to: Dr. Paavo Riekkinen, Jr., Department of Neuroscience and Neurology, University of Kuopio, P.O.B. 1627, FIN-70211 Kuopio, Finland. E-mail: paavojr.riekkinen{at}uku.fi
| |
Abbreviations |
|---|
AR, adrenoceptor;
ATI, atipamezole;
CKO, wild-type control mice for
2C-knockout mice;
DEX, dexmedetomidine;
EEG, electroencephalogram;
KO,
2C-knockout;
LC, locus ceruleus;
OE,
2C-overexpressing;
OF, open field;
PA, passive
avoidance;
WM, water maze;
WT, wild-type control mice for
2C-overexpressing mice.
| |
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