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The Journal of Neuroscience, July 15, 2002, 22(14):6272-6281
Concurrent Autoreceptor-Mediated Control of Dopamine
Release and Uptake during Neurotransmission: An In
Vivo Voltammetric Study
Qun
Wu1,
Maarten E. A.
Reith2,
Q. David
Walker3,
Cynthia M.
Kuhn3,
F. Ivy
Carroll4, and
Paul A.
Garris1, 2
1 Cellular and Integrative Physiology Section,
Department of Biological Sciences, Illinois State University, Normal,
Illinois 61790, 2 Department of Biomedical and Therapeutic
Sciences, University of Illinois College of Medicine at Peoria, Peoria,
Illinois 61656, 3 Department of Pharmacology, Duke
University Medical School, Durham, North Carolina 27710, and
4 Chemistry and Life Sciences, Research Triangle Institute,
Research Triangle Park, North Carolina 27709
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ABSTRACT |
Receptor-mediated feedback control plays an important
role in dopamine (DA) neurotransmission. Recent evidence suggests that release and uptake, key mechanisms determining brain extracellular levels of the neurotransmitter, are governed by presynaptic
autoreceptors. The goal of this study was to investigate whether
autoreceptors regulate both mechanisms concurrently. Extracellular DA
in the caudate-putamen and nucleus accumbens, evoked by electrical
stimulation of the medial forebrain bundle, was monitored in the
anesthetized rat by real-time voltammetry. Effects of the
D2 antagonist haloperidol (0.5 mg/kg, i.p.) on evoked DA
levels were measured to evaluate autoreceptor control mechanisms. Two
strategies were used to resolve individual contributions of release and
uptake to the robust increases in DA signals observed after acute
haloperidol challenge in naive animals: pretreatment with
3 -(p-chlorophenyl)tropan-2 -carboxylic acid
p-isothiocyanatophenylmethyl ester hydrochloride
(RTI-76; 100 nmol, i.c.v.), an irreversible inhibitor of the DA
transporter, and kinetic analysis of extracellular DA dynamics. RTI-76
effectively removed the uptake component from recorded signals. In
RTI-76-pretreated rats, haloperidol induced only modest increases in DA
elicited by low frequencies and had little or no effect at high
frequencies. These results suggest that D2 antagonism
alters uptake at all frequencies but only release at low frequencies.
Kinetic analysis similarly demonstrated that haloperidol decreased
Vmax for DA uptake and increased DA release
at low (10-30 Hz) but not high (40-60 Hz) stimulus frequencies. We
conclude that presynaptic DA autoreceptors concurrently downregulate
release and upregulate uptake, and that the mechanisms are also
independently controlled during neurotransmission.
Key words:
dopamine; autoreceptors; release; uptake; striatum; voltammetry
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INTRODUCTION |
Release and uptake are primary
components of dopamine (DA) neurotransmission. The release of DA into
the synaptic cleft and its subsequent diffusion to target cells
initiates signaling, which is terminated by a transporter clearing the
neurotransmitter from extracellular space (Cooper et al., 1991 ).
Autoreceptors provide important feedback control during DA signaling by
governing firing rate, synthesis, and release (Starke et al., 1989 ;
Wolf and Roth, 1990 ; Bunney et al., 1991 ). The efficacy of
release-regulating autoreceptors is clearly demonstrated in
vitro by potent D2 inhibition of DA levels
elicited by a single electrical pulse (Palij et al., 1990 ; Kennedy et
al., 1992 ) and rapid (<100 msec) response after receptor activation
(Mayer et al., 1988 ; Cejna et al., 1990 ). More recent identification of
uptake-regulating autoreceptors (Meiergerd et al., 1993 ; Wieczorek and
Kruk, 1994 ; Rothblat and Schneider, 1997 ; Dickinson et al., 1999 ;
Hoffman et al., 1999 ; Mayfield and Zahniser, 2001 ) suggests complex
presynaptic control of DA neurotransmission. Indeed, autoreceptors may
contribute to regional variation in extrasynaptic communication
determined by differential dopamine transporter (DAT) activity (Garris
et al., 1994 ; Cline et al., 1995 ; Cragg et al., 2001 ). DAT gene
deletion also reveals an intimate association among transporter,
autoreceptor, and terminal homeostasis (Jones et al., 1998 , 1999 ).
Extracellular DA dynamics elicited by pulse train stimulation reflect
the balance between the opposing actions of release and uptake
(Wightman and Zimmerman, 1990 ). Because individual components are
resolved by real-time voltammetry and mathematical means (Wightman et
al., 1988 ; Peters and Michael, 2000 ), these evoked signals are ideally
suited for investigating autoreceptor interactions. Interestingly, only
release-regulating autoreceptors have been identified using this
approach in vivo (May and Wightman, 1989 ; Kawagoe et al.,
1992 ; Wiedemann et al., 1992 ). Whether this result reveals properties
of integrative autoreceptor control of DA neurotransmission in the
intact brain or experimental limitations requires additional investigation.
The present study examined whether autoreceptors govern DA release and
uptake concurrently. Extracellular DA was monitored in the striatum of
anesthetized rats by real-time voltammetry and evoked by electrical
stimulation of the medial forebrain bundle (Garris and Wightman,
1995a ). The D2 antagonist haloperidol was used to
evaluate autoreceptor function. Although feedback control of DA neurons
is achieved at multiple levels, the combination of electrical
stimulation and voltammetry permits investigation of presynaptic
autoreceptor function in vivo after systemic drug administration. Dopamine neurons faithfully track the exogenous pulse
train but become quiescent during the period immediately after
(Kuhr et al., 1987 ). Consequently, haloperidol-induced
changes in the voltammetric record primarily reflect presynaptic
autoreceptor blockade (Benoit-Marand et al., 2001 ). Two new strategies
were used to resolve the evoked signals into the individual components of DA release and uptake. The first pharmacologically isolated release
from uptake by pretreatment with
3 -(p-chlorophenyl)tropan-2 -carboxylic acid
p-isothiocyanatophenylmethyl ester hydrochloride (RTI-76), an irreversible DAT inhibitor (Fleckenstein et al., 1996 ). The second
exploited kinetic analysis permitting evaluation of release and uptake
without identifying drug mechanism a priori (Wu et al.,
2001a ). Thus, these experiments sought to investigate autoregulation of
DA neurotransmission on a fundamental level.
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MATERIALS AND METHODS |
Animals. Male Sprague Dawley rats (weighing 300-450
gm) were purchased from Harlan Sprague Dawley (Indianapolis, IN) and
housed under controlled lighting, temperature, and humidity. Food and water were available ad libitum. Animal care was in
accordance with the Guide for the Care and Use of Laboratory
Animals (National Institutes of Health publication 86-23) and was
approved and monitored by the Institutional Animal Care and Use
Committee of Illinois State University.
Surgery. The surgery to prepare animals for in
vivo voltammetry has been described previously (Bergstrom and
Garris, 1999 ). After anesthesia with urethane (1.5 gm/kg, i.p.),
animals were placed on a Deltaphase isothermal pad (Braintree
Scientific, Braintree, MA) to maintain body temperature and immobilized
in a stereotaxic apparatus (David Kopf Instruments, Tujunga, CA). Skin
and muscle layers covering the skull were retracted, and holes were
drilled through the skull for placement of reference, stimulating, and working electrodes. All stereotaxic coordinates described herein are
given in millimeters according to the atlas of Paxinos and Watson
(1986) . Anteroposterior (AP) and mediolateral (ML) coordinates are
referenced from bregma, and dorsoventral (DV) coordinates are
referenced from dura. A working electrode was implanted into both the
caudate-putamen (CP; +1.2 AP, +2.0 ML, and 4.5 to 5.5 DV) and the
nucleus accumbens (NAc; +1.4 AP, +2.0 ML, and 6.6 to 7.5 DV). To
accommodate two working electrodes on one side of the brain, the
microsensor in the CP was angled at 12° (Wu et al., 2001a ,b ). The
working electrodes were also offset slightly in the AP direction so
that the tip of the microsensor in the CP would never contact the shaft
of the microsensor implanted in the NAc. At a minimum, the microsensor
tips differed by 1.1 mm dorsoventrally; typically, this distance was
much larger, and sensors were also located at different ML coordinates.
A stimulating electrode was lowered to a position just dorsal to the
medial forebrain bundle ( 4.6 AP, +1.4 ML, and 7.0 DV) and
incrementally lowered until a signal, voltammetrically identified as DA
(Baur et al., 1988 ), was observed in both the CP and NAc. The position of the stimulating electrode was then optimized to elicit a maximum response. The reference electrode was situated in superficial cortex
contralateral to stimulating and working electrodes.
Electrochemistry. Fast-scan cyclic voltammetry at carbon
fiber microelectrodes was used to monitor DA (Garris and Wightman, 1995a ). Cylinder microelectrodes were fabricated as described previously (Cahill et al., 1996 ). Approximately 50-100 µm of the carbon fiber (radius = 2.5 µm) extended beyond the glass
insulation. Electrochemistry was computer-controlled using an EI 400 potentiostat (Ensman Instruments, Bloomington, IN). The potential of
the working electrode, which rested at a bias of 400 mV, was linearly
scanned at 100 msec intervals to 1000 mV and back at a rate of 300 V/sec. The analog output of the potentiostat was digitized (DMA
Labmaster; Scientific Solutions, Solon, OH) and stored in a computer
file using locally written software. The DA concentration was
calculated from the current at the peak oxidation potential for DA
(typically 500-700 mV) using a calibration factor determined for each
working electrode after the experiment. Background-subtracted
voltammograms were obtained by subtracting voltammograms collected
during baseline recording from those during electrical stimulation. All
voltages were referenced to a silver/silver chloride electrode. After
each experiment, the working electrode was removed from the brain and calibrated in vitro using flow injection analysis.
Electrical stimulation. Biphasic stimulus pulses (4 msec and
300 µA for each phase) were computer-generated, passed through a
constant current and optical isolation device (NL 800, Neurolog; Medical Systems, Great Neck, NY), and applied to a twisted, bipolar stimulating electrode (MS 303/2; Plastics One, Roanoke, VA). Tips of
the stimulating electrode (0.2 mm diameter) were separated by ~1 mm.
For each pulse train, the duration was 2 sec, and the frequency
randomly varied from 10 to 60 Hz.
Experimental design. Autoreceptors governing DA release and
uptake were evaluated by examining the effects of haloperidol on
electrically evoked levels of DA measured by in vivo
voltammetry. Two strategies were used to determine whether the
D2 antagonist altered the release or uptake
component, or both, of these signals. The first was pretreatment with
the RTI-76, an irreversible inhibitor of DAT (Fleckenstein et al.,
1996 ; Wang et al., 2000 ). The rationale was that RTI-76 nearly
completely removes the component of uptake (Wu et al., 2001b ).
Consequently, the effects of haloperidol on evoked DA levels after
pretreatment primarily reflected disinhibition of release-regulating
autoreceptors. These results were then compared with haloperidol
effects in naive animals, in which both mechanisms were fully
operational, to determine the respective contribution of release- and
uptake-regulating autoreceptors.
The second strategy for resolving release and uptake components was
kinetic analysis, based on the neurochemical model developed by
Wightman et al. (1988) . As described below in more detail, the model
characterizes measured signals in terms of one parameter for DA release
and two parameters for DA uptake. The constants are determined by
fitting experimental data to curves simulated by the model (Wu et al.,
2001a ). Thus, observed haloperidol-induced increases in evoked DA
levels are reduced to a change in parameters for either DA release or
uptake. Kinetic analysis in the present study differs from earlier
attempts to evaluate the effects of D2
antagonists on the voltammetric measurements, because all three parameters were determined in drug-naive animals and after drug administration. Previously, a Km for
DA uptake and a partial drug mechanism were assumed a priori
(May and Wightman, 1989 ; Kawagoe et al., 1992 ; Wiedemann et al.,
1992 ).
Kinetic analysis. Temporal changes in brain extracellular DA
during transient electrical stimulation are described as a balance between the opposing processes of DA release and uptake (Wightman et
al., 1988 ):
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(1)
|
where f is the frequency of the stimulation,
[DA]p is the concentration of extracellular DA
released per stimulus pulse, and Vmax
and Km are Michaelis-Menten
parameters for DA uptake. The model does not describe release caused by
the transporter-mediated efflux of DA (Eshleman et al., 1994 ; Johnson
et al., 1998 ), but this amount most likely does not appreciably
contribute to measured electrically evoked levels. After the electrical
pulse train, the rate of [DA] change is solely described by DA
uptake:
|
(2)
|
Vmax was calculated by
measuring the linear clearance rate of DA concentrations evoked by a
frequency of 60 Hz. At high concentrations, at which [DA]
Km, Equation 2 reduces to:
|
(3)
|
After fixing Vmax to this
value, [DA]p and
Km were obtained by simultaneously
fitting recordings describing the frequency-dependent changes in DA
levels to Equations 1 and 2. Curve fitting was accomplished by
nonlinear regression using simplex minimization (Wu et al., 2001a ).
Pretreatment with RTI-76. RTI-76 was microinjected
intracerebroventricularly either 1 or 2 d before voltammetric
experiments (Wu et al., 2001b ). For the injection procedure, rats were
anesthetized with Equithesin (3 ml/kg, i.p.) and placed in a
stereotaxic apparatus as described above. A single hole was drilled
through the skull for placement of the injection needle (30 ga
hypodermic tubing sharpened at the tip; Small Parts Inc., Miami Lakes,
FL). The needle was lowered to 0.25 AP, 1.4 ML, and 4 to 5 DV,
and 100 nmol of RTI-76, dissolved in 10 µl of sterile saline, was
infused at a flow rate of 0.5 µl/min using a microsyringe pump (KD
Scientific model 100; Fisher Scientific, Fair Lawn, NJ). The injection
site was ipsilateral to sites for voltammetric recordings. After
injection, the needle remained at the injection site for an additional
5 min. The needle was then retracted, the hole in the skull was sealed
with bone wax, and the scalp was sutured. Animals were returned to
housing only after the effects of anesthesia had worn off and used for
experiments 1-2 d later.
Radioligand binding assay. Binding of RTI-76 to
D2 receptors was investigated in vitro
in rat striatal homogenates according to the method of Walker et al.
(1990) . Coronal slices (2.0 mm) were cut from freshly dissected rat
brain using an ice-cold block, and the dorsal striatum was excised
(Heffner et al., 1980 ). Striatal tissue was frozen at 80°C until
used. Frozen tissue was homogenized with seven manual strokes in 8 ml
of buffer (in mM: 50 HEPES and 4.0 MgCl2, pH 7.4) in a Teflon-glass homogenizer.
The homogenate was spun for 10 min at 27,000 × g, and
the supernatant was discarded. The pellet was resuspended in buffer
using 5 strokes and centrifuged again. The resulting pellet was
resuspended at 2 mg wet weight/ml, and 1 mg of tissue was added to each
assay tube. D2 receptors were labeled with
[3H]spiperone (0.07 nM). Ketanserin (40 nM) was
added to each tube to mask [3H]spiperone
binding to serotonin receptors, and nonspecific binding was determined
by the addition of 1 µM chlorpromazine. Assay
tubes (1 ml final volume) were incubated for 15 min at 37°C. Binding was terminated by filtering with 15 ml of ice-cold buffer across glass
fiber filter mats using a Brandel (Gaithersburg, MD) cell harvester.
Radioactivity left on the filters was determined on a Packard
(Meridian, CT) Tri-Carb scintillation counter.
Data were normalized by expressing the average disintegrations per
minute at each competitor concentration as a percentage of total
binding. The percent inhibition values were averaged across all
experiments (n = 5). An IC50
value was calculated from each specific binding curve using a nonlinear
regression algorithm for sigmoid curves (Prism 3.0; Graph Pad, San
Diego, CA). The goodness of fit to the equation
(r2 value) was typically
>0.99.
Statistical analysis. Where possible, data are expressed as
the mean ± SEM, where n is the number of rats.
Statistical analysis was performed by SAS (Cary, NC) and used either a
t test or ANOVA (Sokal and Rohlf, 1995 ). Linear regression
was performed by SigmaPlot (SPSS, Chicago, IL). The significance of the
regression coefficient (r) was determined by calculating a
t statistic (ts):
|
(4)
|
The significance level was set at p < 0.05 for
all tests.
Drugs and reagents. Unless indicated, all chemicals and
drugs were used as received and purchased from Sigma or Research
Biochemicals-Sigma (St. Louis, MO).
[3H]Spiperone was purchased from
PerkinElmer Life Sciences (Emeryville, CA). RTI-76 was synthesized at
Research Triangle Institute. Aqueous solutions were prepared in doubly
distilled, deionized water (Barnstead/Themolyne, Dubuque, IA).
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RESULTS |
RTI-76 binding to D2 receptors
Figure 1 shows the average of all
competition binding experiments for D2 receptors
labeled with [3H]spiperone. Unlike
haloperidol, RTI-76 did not prove to be an effective antagonist of
[3H]spiperone binding to
D2 receptors. Haloperidol (1 µM)
blocked ~80% of specific
[3H]spiperone binding, whereas RTI-76
was ineffective at 1 and 10 µM and blocked no more than
12% of [3H]spiperone binding at 100 µM. The IC50 for haloperidol was
2.0 ± 0.4 nM (n = 5), indicating high
potency, and the r2 for the
regression line was 0.999. By contrast, 1 µM
RTI-76 decreases Bmax for
[3H]2 -carbomethoxy-3 -(4-fluorophenyl)
tropane binding to human DAT expressed in human embryonic kidney
293 cells by ~55% (Wang et al., 2000 ). RTI-76 decreased
Vmax for dopamine uptake in the present studies to a similar level (see Figs. 7 and 8), suggesting that
a similar concentration of RTI-76 may have been present in the tissue
surrounding the microsensor. At this tissue concentration of RTI-76 (or
even at 10 or 100 µM), the present in
vitro results indicate that few D2 receptors
would be occupied by RTI-76.

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Figure 1.
Haloperidol and RTI-76 competition for
D2 receptors labeled by [3H]spiperone.
Data for each experiment were expressed as a percentage of total
binding, which is the lowest concentration point on the haloperidol
curve. Data were compiled from five separate experiments. Each
point is the mean; error bars indicate SEM.
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Haloperidol alters evoked DA dynamics measured in the intact brain
of naive animals
Figure 2 shows that, in the CP of a
urethane-anesthetized rat, systemic injection of haloperidol (0.5 mg/kg, i.p.) altered evoked DA dynamics monitored by a carbon fiber
microelectrode. For example, haloperidol (filled
circles) robustly increased the amplitude of evoked responses
relative to those obtained in the naive animal at baseline (open
circles). The increases were observed at all frequencies but were
most pronounced at 20 and 30 Hz. Another effect of haloperidol was the
slowed extracellular clearance of DA subsequent to its release. The
reduction in clearance rate also occurred at all frequencies and is
clearly shown in the inset to the responses evoked by 60 Hz.
The inset compares curves for the poststimulation clearance
of evoked extracellular DA for predrug and postdrug responses. Because
the evoked DA levels are primarily reduced by transporter activity
after completion of the pulse train (Wightman et al., 1988 ; Garris and
Wightman, 1995b ; Giros et al., 1996 ; Budygin et al., 1999 ), clearance
curves would overlay if uptake rates are similar. Thus, the dissimilar
curves indicated different kinetics and qualitatively suggested that
haloperidol increased evoked DA levels by decreasing uptake. Figure
3 shows qualitatively similar results
obtained in the NAc.

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Figure 2.
Effects of haloperidol on individual evoked
responses collected in the CP of a naive rat. Data are from a single
representative animal. After collection of a baseline frequency
response (Naive, open circles),
haloperidol (0.5 mg/kg i.p.) was injected, and after a 20 min wait,
another set of frequency responses (Hal, filled
circles) was collected. Each point represents
the concentration of extracellular DA determined by the voltammetric
microsensor at 100 msec intervals. The solid line
underneath each set of curves demarcates the initiation and termination
of the pulse train. The frequency of the pulse train is given at the
top left of each set of curves. Inset,
Clearance portion of the curves evoked by 60 Hz beginning at the same
concentration.
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Figure 3.
Effects of haloperidol on individual evoked
responses collected in the NAc of a naive rat. Data are from a single
representative animal. See legend to Figure 2 for details.
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RTI-76 pretreatment effectively blocks DA uptake and blunts
haloperidol-induced increases in evoked responses
Individual responses, collected in the CP of a representative
animal that received the irreversible inhibitor of DA uptake RTI-76
(100 nmol, i.c.v.) are shown in Figure 4
(open circles). Evoked signals were qualitatively similar to
those just described for haloperidol. Indeed, a prominent
characteristic was the slowed extracellular clearance rate for DA.
Compared with the effects observed in naive animals, haloperidol (0.5 mg/kg) administered to RTI-76-pretreated animals (filled
circles) elicited relatively small changes in evoked DA levels.
Increases in extracellular DA were most prominent at the low
frequencies, similar to the frequency-dependent effects of haloperidol
in drug-naive animals. Additionally, haloperidol did not appear to
change the clearance rate of extracellular DA substantially after
RTI-76 pretreatment (see inset to responses evoked by 60 Hz). As shown in Figure 5, qualitatively
similar results were obtained in the NAc.

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Figure 4.
Effects of haloperidol on individual evoked
responses collected in the CP of a rat pretreated with RTI-76. All data
were collected in the same animal 1 d after injection of RTI-76
(100 nmol, i.c.v.). After collection of a baseline frequency response
(RTI-76, open circles), haloperidol (0.5 mg/kg, i.p.) was injected, and after a 20 min wait, another set of
frequency responses (RTI-76 + Hal,
filled circles) was collected. See legend to Figure 2
for details.
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Figure 5.
Effects of haloperidol on individual evoked
responses collected in the NAc of a rat pretreated with RTI-76. All
data were collected in the same animal 1 d after injection of
RTI-76 (100 nmol, i.c.v.). See legend to Figure 4 for details.
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Summary of frequency-dependent haloperidol effects
Frequency-dependent effects of haloperidol on evoked responses
recorded in naive animals are summarized in Figure
6 (filled circles).
Data are expressed as the relative increase in maximal concentration of
DA evoked ([DA]max). Marked haloperidol
effects, present in individual responses (Figs. 2, 3), were also
described by the averaged results. In both the CP (Fig.
6A) and NAc (Fig. 6B), the
frequency response was peak-shaped and reached a zenith at 20 or 30 Hz.
Haloperidol-induced increases in [DA]max were greater at low compared with high stimulus frequencies, thereby confirming the frequency-dependent effects observed in the individual responses. The dashed line at a relative increase of 1 indicates the value estimated for drug-free conditions, during which DA signals are reproducibly evoked for at least 3 hr (Bergstrom and Garris, 1999 ). Average effects of haloperidol on evoked DA levels in RTI-76-pretreated animals are also shown in Figure 6 (open circles). Compiled results clearly showed the blunted effects of
haloperidol in RTI-76-pretreated animals seen in individual recordings.
RTI-76 significantly decreased haloperidol effects in both the CP
(p < 0.001;
F(1,5) = 29.71; ANOVA) and NAc
(p < 0.001;
F(1,5) = 12.38; ANOVA). The results
also described the greater effects of haloperidol at lower frequencies,
suggested by the individual responses, because relative increases in DA levels were near unity between 40 and 60 Hz, and apparent at and less
than 30 Hz.

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Figure 6.
Averaged effects of haloperidol on evoked DA
levels in naive and RTI-76-pretreated animals. All data are mean ± SEM (n = 5-9) and compiled from the individual
curves shown representatively in Figures 2-5. The relative increase in
[DA]EC after haloperidol (0.5 mg/kg, i.p.)
administration, which is plotted along the y-axis, was
calculated by taking the ratio of the maximum concentration of DA
([DA]max) evoked after and before haloperidol
administration. This ratio was calculated for each frequency and
averaged. The dashed line in each plot represents a
relative increase of unity. The relative effects of haloperidol in the
CP and NAc of naive (Hal - Naive, solid
circles) and RTI-76-pretreated (Hal - RTI-76,
filled circles) animals are shown in A
and B, respectively.
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Kinetic evaluation of release- and
uptake-regulating autoreceptors
The respective contributions of release and uptake to the
haloperidol-induced increases in DA signals were evaluated by kinetic analysis. For these calculations, a release parameter,
[DA]p, and two parameters for uptake,
Km and
Vmax, were determined for each set of
evoked responses using nonlinear regression (Wu et al., 2001a ).
Averaged values are shown in Figure 7 for
the CP and Figure 8 for the NAc. Overall,
similar results were found in both regions. Consistent with the
qualitative observation of slowed clearance rate in naive animals,
haloperidol significantly reduced Vmax
in both the CP and NAc (top left graphs; p < 0.01; paired t tests). In contrast,
Vmax was unchanged in either region after haloperidol administration in RTI-76-pretreated animals (top right graphs). No significant differences in
Km were found (see figure
legends).

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Figure 7.
Parameters for DA release and uptake in the CP of
naive and RTI-76-pretreated animals. Evoked DA responses shown
representatively in Figures 2 and 4 were kinetically evaluated to
determine parameters for DA release and uptake. Data are mean ± SEM (n = 8-9). Parameters calculated in naive and
RTI-76-pretreated animals are shown in the left and
right graphs, respectively. These were calculated from
baseline recordings (either naive or RTI-76) or from recordings
collected after haloperidol (Hal) administration
(either Hal or RTI-76 and Hal), and are described by the
filled and open bars, respectively.
Top graphs, Vmax.
Middle graphs, [DA]p calculated from
curves evoked by frequencies between 10 and 30 Hz. Haloperidol
significantly increased [DA]p in naive animals
(t = 4.35; p < 0.002) and in
animals after RTI-76 pretreatment (t = 3.73;
p < 0.01). Bottom graphs,
[DA]p calculated from curves evoked by frequencies
between 40 and 60 Hz. Because Km was found
to be similar at low and high frequencies, an average was taken to
represent all frequencies. The resulting values are as follows: naive,
0.39 ± 0.07 µM; Hal, 0.89 ± 0.21 µM; RTI-76, 0.53 ± 0.09 µM; and
RTI-76 and Hal, 0.83 ± 0.16 µM. No significant
differences were found among the Km values
of the four experimental groups
(F(3,28) = 2.78; p > 0.06; ANOVA). Con, Control.
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Figure 8.
Parameters for DA release and uptake in the NAc of
naive and RTI-76 pretreated animals. Evoked DA responses shown
representatively in Figures 3 and 5 were kinetically evaluated to
determine parameters for DA release and uptake. Data are mean ± SEM (n = 5-9). See legend to Figure 7 for details.
In the middle graphs, haloperidol
(Hal) significantly increased [DA]p
in naive animals (t = 4.21; p < 0.014) and in animals after RTI-76 pretreatment
(t = 3.53; p < 0.008).
Km was calculated as described in Figure 7
and is as follows: naive, 0.42 ± 0.17 µM; Hal,
0.52 ± 0.18 µM; RTI-76, 0.32 ± 0.06 µM; and RTI-76 and Hal, 0.58 ± 0.09 µM. No significant differences were found among the
Km values of the four experimental groups
(F(3,28) = 0.357; p > 0.70; ANOVA). Con, Control.
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Because compiled results shown in Figure 6 indicated
frequency-dependent effects of haloperidol, evoked responses were
pooled into low- and high-frequency groups (10-30 and 40-60 Hz,
respectively) and fit separately. In both the CP and NAc and in both
naive animals and those pretreated with RTI-76, haloperidol
significantly increased [DA]p at the low
frequencies (Figs. 7, 8, middle graphs; see figure legends
for statistical analysis). The relative increase in
[DA]p was less than the relative decrease in
Vmax after administration of
haloperidol in naive animals (CP, 59 and 35%, respectively; NAc, 57 and 37%, respectively). No effects of haloperidol on release were observed at the high frequencies (Figs. 7, 8, bottom
graphs). The significant effects of haloperidol at the low
stimulus frequency are surprising given the modest increases relative
to the error term. It appears that interanimal variability masked
ostensible haloperidol-induced changes in
[DA]p. In fact, haloperidol increased the
calculated release parameter in 29 of the 30 determinations compiled in
Figures 7 and 8, middle graphs. The experimental design of
the present study, in which predrug and postdrug determinations were
made in the same animal, and statistical analysis of paired comparisons, however, allowed us to detect the haloperidol-induced changes in [DA]p despite the interanimal variability.
Recordings collected in RTI-76-pretreated animals show a dramatic
slowing of the DA clearance rate, and kinetic analysis demonstrated a
decrease in Vmax similar to that for
responses collected after haloperidol administration in naive animals.
This effect, seen in Figures 7 and 8, top right graphs, is
better described by the analysis found in Table
1, in which results from naive and
drug-treated animals are directly compared. For simplicity, one value
for [DA]p was determined for all frequencies.
When compared with naive animals, RTI-76 was found to decrease
Vmax in both the CP and NAc
significantly (p < 0.05; t tests)
but to have no effect on Km or
[DA]p in either region. The modest decrease of
[DA]p in the CP after RTI-76 pretreatment was
not significant at the p = 0.058 level. The change in
Vmax, but not
Km, is also consistent with the
noncompetitive inhibition described for RTI-76 by in vitro
(Wang et al., 2000 ) and ex vivo (Fleckenstein et al., 1996 )
studies and our previous characterization of the drug using in
vivo voltammetry (Wu et al., 2001b ).
 |
DISCUSSION |
Haloperidol and extracellular DA
Systemic administration of haloperidol increases striatal DA
levels measured by microdialysis (Imperato and Di Chiara, 1985 ; Moghaddam and Bunney, 1990 ) and real-time voltammetry (Kawagoe et al.,
1992 ; Wiedemann et al., 1992 ). The mechanism by which haloperidol
exerts these effects is thought to be related to its high affinity for
the D2 receptor (Vallone et al., 2000 ). Such receptors are located postsynaptically, in which haloperidol acts on DA
neurons indirectly via long feedback loops (Hommer and Bunney, 1980 ),
and on DA somatodentrites and terminals, where they function as
autoreceptors (Starke et al., 1989 ; Wolf and Roth, 1990 ; Bunney et al.,
1991 ). Although increases in dialysate DA reflect combined antagonism
of D2 receptors, the effects of haloperidol on
electrically evoked DA signals are primarily mediated by presynaptic
autoreceptors, because the exogenous stimulus train strictly controls
firing rate during the voltammetric measurement (Kuhr et al., 1987 ;
Benoit-Marand et al., 2001 ). Large increases in evoked responses after
administration of a low dose of haloperidol (Fig. 6) suggest that these
presynaptic autoreceptors tightly control extracellular DA in the rat striatum.
Resolving DA release and uptake mechanisms
Observed increases in DA levels after acute haloperidol challenge
are mediated by a change in release, uptake, or both (Wightman and
Zimmerman, 1990 ). Distinguishing the contribution of each mechanism is
accomplished in the present study by pharmacological and kinetic means.
The pharmacological approach isolated release by pretreatment with
RTI-76 to remove the uptake component of evoked signals. The marked
effects of RTI-76 on electrically evoked DA levels are not mediated by
DA receptors directly but rather by noncompetitive inhibition of DA
uptake (Wang et al., 2000 ; Wu et al., 2001b ). Indeed, RTI-76 exhibits
little activity at D1 and
D2 receptors as demonstrated by ex
vivo (Fleckenstein et al., 1996 ) and in in vitro
studies (Fig. 1), respectively. The kinetic approach distinguishes
release and uptake components mathematically. Although a theoretical
framework for evaluating evoked DA signals measured by real-time
voltammetry was established by Wightman et al. (1988) , analysis has
been limited by the availability of procedures for quantifying
parameters. Early applications, for example, assumed a
Km for DA uptake or a partial drug
mechanism a priori (May et al., 1988 ; Wightman and
Zimmerman, 1990 ; Garris and Wightman, 1994 ). More recently, a nonlinear
regression, developed specifically for the model, was introduced to
calculate the release parameter, [DA]p, and the
Michaelis-Menten parameters for uptake, Km and
Vmax, simultaneously (Wu et al.,
2001a ). This tool is exploited for resolving presynaptic autoreceptor mechanisms.
Autoreceptors governing DA release and uptake
The present results confirm DA autoreceptors downregulating
release (May and Wightman, 1989 ; Kawagoe et al., 1992 ; Wiedemann et
al., 1992 ) and upregulating uptake (Cass and Gerhardt, 1994 ; Rothblat
and Schneider, 1997 ; Dickinson et al., 1999 ; Hoffman et al., 1999 ) in
the intact brain. Autoreceptors governing release are demonstrated by
D2 blockade-induced increases in
[DA]p in naive animals (Figs. 7, 8) and in DA
levels evoked by low frequencies after RTI-76 administration (Fig. 6).
Haloperidol decreasing Vmax and its
reduced efficacy after RTI-76 administration support the more recent
postulate that DA uptake is governed by autoreceptors. Altered
Vmax is consistent with the comparable
effects of haloperidol and RTI-76 to slow extracellular DA dynamics
(Figs. 2-5) and the increases in Vmax
for [3H]dopamine uptake and
Bmax for DAT binding after
D2 activation in oocytes coexpressing the
D2 receptor and DAT (Mayfield and Zahniser,
2001 ). Although uptake parameters were not determined, an apparent
slowing of the extracellular clearance of electrically evoked DA levels
in vivo by haloperidol systemically administered has also
been demonstrated recently (Benoit-Marand et al., 2001 ). An intriguing
question raised by these results is why previous studies using
D2 antagonists and the techniques of in
vivo voltammetry coupled to electrical stimulation and
mathematical modeling failed to identify autoreceptors governing uptake
(May and Wightman, 1989 ; Kawagoe et al., 1992 ; Wiedemann et al., 1992 ).
One possible explanation is that the kinetic analysis used earlier made
assumptions about the drug mechanism that emphasized changes in release
over uptake. The excellent agreement between the pharmacological
approach and kinetic analysis in the present study supports this supposition.
In addition to confirming previous notions about autoreceptors and DA
neurotransmission, the present results are the first, to our knowledge,
demonstrating concurrent autoreceptor regulation of DA release and
uptake mechanisms. At low stimulation frequencies, for example,
increased DA levels after haloperidol administration (Fig. 6) reflect a
concomitant upregulation of release and downregulation of uptake
(Figs. 7, 8). This finding was made possible by the capability for
combined analysis of the two components constituting evoked signals.
Most studies documenting uptake-regulating autoreceptors evaluated
transporter activity by monitoring the extracellular clearance of
exogenous DA (Meiergerd et al., 1993 ; Cass and Gerhardt, 1994 ; Rothblat
and Schneider, 1997 ; Dickinson et al., 1999 ; Hoffman et al., 1999 ).
Experiments using one-pulse or equivalent stimulation, moreover,
typically characterized response amplitude (Palij et al., 1990 ;
Limberger et al., 1991 ; Cragg and Greenfield, 1997 ). Although uptake
information is present (Kennedy et al., 1992 ), one-pulse signals are
only responsive to D2 agonists, not antagonists. Hence, quantifying uptake kinetics at the low DA concentrations resulting from autoreceptor activation is difficult (Jones et al.,
1996 ). Pulse trains have been used in vitro, but
contributions by release- and uptake-regulating autoreceptors were not
resolved (Wieczorek and Kruk, 1994 ; Cragg and Greenfield, 1997 ), and a variable release rate complicates analysis (Kennedy et al., 1992 ).
The present study also demonstrates that autoreceptors governing DA
release and uptake are unlinked at the high stimulation frequencies.
Under these conditions, haloperidol alters rates for DA uptake only
(Figs. 2, 4) and is mostly ineffective in RTI-76-pretreated animals
(Fig. 6). An important question is whether the frequencies used in
these experiments are physiological. Midbrain DA neurons are
traditionally thought to fire at 5 Hz tonically and in bursts of up to
30 Hz when activated (Bunney et al., 1991 ). However, recordings in
behaving animals demonstrate putative DA neurons firing at rates
exceeding 100 Hz (Kiyatkin and Rebec, 1998 ). Identified DA neurons also
track these high frequencies when antidromically activated (Grace and
Bunney, 1983 ; Kuhr et al., 1987 ) and reliably release DA over a wide
range of stimulus frequencies (Kawagoe et al., 1992 ; Garris and
Wightman, 1994 ). Thus, the observed frequency-dependent regulation of
DA release by autoreceptors may have a physiological basis.
Model for presynaptic autoreceptor control of
DA neurotransmission
In summary, we propose that autoreceptors governing DA release and
uptake act both concurrently and independently to lower functional
levels of extracellular DA in the striatum. This postulate is based on
our findings that downregulation of DA release by autoreceptors is
linked to stimulation frequency but that uptake-regulating autoreceptors operate continuously. Given their unique characteristics of feedback control, the autoreceptors could regulate different phenomena of neurotransmission. Within the proposed framework, both
autoreceptors oppose DA concentrations elevated by small increases in
basal firing. When neuronal activation is more intense, feedback
inhibition of DA release fails, and only an autoreceptor-mediated increase in transport activity is available to "reign in" high DA
concentrations. The latter situation is mimicked by high-frequency stimulation, during which haloperidol causes a dramatic slowing of
uptake. Because observed DA dynamics resemble those in the NAc of
animals exposed to a novel environment (Rebec et al., 1997 ), uptake-regulating autoreceptors may be important for control of DA
neurotransmission during intense synchronized burst firing elicited by
salient behavioral stimuli (Bunney et al., 1991 ; Mirenowicz and
Schultz, 1994 ; Overton and Clark, 1997 ).
The present results additionally suggest that autoreceptors governing
DA uptake, rather than release, play the dominant role in regulating
extracellular DA levels in the intact brain. For example, haloperidol
altered uptake more than release, altered uptake at all frequencies but
release only at low frequencies, and only modestly increased DA levels
after RTI-76 pretreatment. A commanding role for uptake-regulating
autoreceptors is consistent with DAT determining temporal and spatial
dynamics of extrasynaptic DA signaling (Garris et al., 1994 ; Nirenberg
et al., 1996 ; Cragg et al., 2001 ) and the profound changes in DA
concentration and diffusion distance with altered uptake rates (van
Horne et al., 1992 ; Garris and Wightman, 1994 ; Nicholson, 1995 ; Giros
et al., 1996 ). The release of DA, on the other hand, is already tightly controlled by impulse flow (Wightman and Zimmerman, 1990 ). Extensive autoregulation may thus not be required to control this mechanism precisely. However, observed increases in DA release after autoreceptor blockade are modest (May and Wightman, 1989 ; Kawagoe et al., 1992 ; Wiedemann et al., 1992 ) in comparison with the near complete inhibition of one-pulse-evoked DA levels by D2 agonists
(Palij et al., 1990 ; Kennedy et al., 1992 ). This result suggests that
differences between the in vitro and in vivo
experiments should be considered further (Dugast et al., 1997 ).
Haloperidol has been shown recently to increase DA levels electrically
evoked by a three-pulse train in vivo (Benoit-Marand et al.,
2001 ), indicating that stimulus parameters more closely resembling
those applied in vitro can be used to investigate
autoreceptors in the whole animal.
 |
FOOTNOTES |
Received Feb. 19, 2002; revised April 29, 2002; accepted May 1, 2002.
This research was supported by National Institutes of Health
Grants NS 35298 (P.A.G.) and DA 08379 (M.E.A.R.). We thank Dr. Sara R. Jones for helpful discussion.
Correspondence should be addressed to Dr. Paul A. Garris, 245 Science
Laboratory Building, Department of Biological Sciences, Illinois
State University, Normal, IL 61790-4120. E-mail: pagarri{at}ilstu.edu.
 |
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M. J Frank, A. Scheres, and S. J Sherman
Understanding decision-making deficits in neurological conditions: insights from models of natural action selection
Phil Trans R Soc B,
September 29, 2007;
362(1485):
1641 - 1654.
[Abstract]
[Full Text]
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G. Akopian and J. P. Walsh
Reliable long-lasting depression interacts with variable short-term facilitation to determine corticostriatal paired-pulse plasticity in young rats
J. Physiol.,
April 1, 2007;
580(1):
225 - 240.
[Abstract]
[Full Text]
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M. Rodriguez, I. Morales, I. Gomez, S. Gonzalez, T. Gonzalez-Hernandez, and J. L. Gonzalez-Mora
Heterogeneous Dopamine Neurochemistry in the Striatum: The Fountain-Drain Matrix
J. Pharmacol. Exp. Ther.,
October 1, 2006;
319(1):
31 - 43.
[Abstract]
[Full Text]
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L. J. Porrino, D. Lyons, H. R. Smith, J. B. Daunais, and M. A. Nader
Cocaine Self-Administration Produces a Progressive Involvement of Limbic, Association, and Sensorimotor Striatal Domains
J. Neurosci.,
April 7, 2004;
24(14):
3554 - 3562.
[Abstract]
[Full Text]
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T.-A. Ansah, S. Ramamoorthy, S. Montanez, L. C. Daws, and R. D. Blakely
Calcium-Dependent Inhibition of Synaptosomal Serotonin Transport by the {alpha}2-Adrenoceptor Agonist 5-Bromo-N-[4,5-dihydro-1H-imidazol-2-yl]-6-quinoxalinamine (UK14304)
J. Pharmacol. Exp. Ther.,
June 1, 2003;
305(3):
956 - 965.
[Abstract]
[Full Text]
[PDF]
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