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Vol. 291, Issue 1, 1-6, October 1999
Department of Physiology, College of Medicine, The Catholic University of Korea, Socho-gu, Seoul, Korea
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Abstract |
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The effects of fluoxetine (Prozac), a widely used antidepressant drug, on Kv1.3 stably expressed in Chinese hamster ovary cells were examined using the whole-cell and excised inside-out configurations of the patch-clamp technique. In whole-cell recordings, fluoxetine accelerated the decay rate of inactivation of Kv1.3 and thus decreased the current amplitude at the end of the pulse in a concentration-dependent manner with an IC50 value of 5.9 µM. The inhibition displayed a weak voltage dependence, increasing at more positive potentials. Neither the activation nor the steady-state inactivation curve was affected by fluoxetine. In addition, fluoxetine reduced the tail current amplitude and slowed the deactivation of the tail current, resulting in a crossover phenomenon. When applied to the internal side of the membrane in inside-out recordings, the inhibition by fluoxetine was much faster and more potent with an IC50 value of 1.7 µM compared with whole-cell recordings. Norfluoxetine, the major metabolite of fluoxetine, also inhibited Kv1.3 in a concentration-dependent manner (IC50 = 1.4 µM) in whole-cell recordings. To check whether the fluoxetine-induced inhibition demonstrated in cloned Kv1.3 could also be observed in native T lymphocytes, the effects of fluoxetine were investigated on human T lymphocytes. Fluoxetine also inhibited outward K+ current in human T lymphocytes. Our results indicate that fluoxetine produced a concentration- and voltage-dependent inhibition of Kv1.3 that can be interpreted as an open channel block and that a binding site for fluoxetine is more accessible from the intracellular side.
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Introduction |
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Fluoxetine
has become an important antidepressant drug during the past two decades
because it was shown to be effective in the treatment of depression
without inducing serious side effects (Stark et al., 1985
; Fuller and
Wong, 1990
; Wong et al., 1995
). Its mechanism of action is to inhibit
the reuptake of serotonin into the synaptic cleft [selective serotonin
reuptake inhibitor (SSRI)] (Wong et al., 1974
). This inhibition is
thought to underlie the therapeutic effects of this drug. However, in
addition to this pharmacological property, this drug has been reported
to influence a variety of ion channels, including voltage-activated K+ channels. The inhibition of ionic currents
mediated through voltage-activated K+ and
Na+ channels by fluoxetine was first demonstrated
by Rae et al. (1995)
in rabbit corneal and human lens epithelium. This
inhibitory effect of fluoxetine on K+ currents
was observed only in perforated-patch recordings, not in inside-out
patch recordings. A similar mechanism has been proposed to explain the
inhibitory effect of fluoxetine on delayed rectifier K+ channels of jejunal smooth muscle cells
(Farrugia, 1996
). Therefore, it is likely that fluoxetine acts on
K+ channels through diffusable cytoplasmic
factors, suggesting an indirect action. However, our previous study
showed that inhibitory effects of fluoxetine on
K+ currents in PC12 cells did not appear to be
mediated through protein kinases or G proteins (Hahn et al., 1999
).
Recent studies suggest direct interaction of fluoxetine with ion
channels. In a study examining the cloned nicotinic acetylcholine
receptor, fluoxetine was proposed to produce a block by interacting
with open channels (García-Colunga et al., 1997
). Tytgat et al.
(1997)
has shown that the inhibition by fluoxetine of the Kv1.1 channel could be described by blockade of the open state of the channel. However, it should be noted that therapeutic doses of fluoxetine result
in a plasma concentration closer to 1 µM (Altamura et al., 1994
). All
of these findings have little relevance in understanding the clinical
effects of fluoxetine because much higher concentrations are necessary
to inhibit K+ channels than are needed for an
SSRI effect. Although there are at least two pathways by which
fluoxetine could exert such an effect, the mechanism of block of
K+ channels is not clearly understood. Thus, we
decided to explore what interactions fluoxetine might have with Kv1.3
as well as with corresponding K+ currents found
in human T lymphocytes. Here we report that fluoxetine at clinically
relevant concentrations blocks Shaker-type
K+ channel, Kv1.3, which plays an important role
in the activation of T lymphocytes.
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Materials and Methods |
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Cell Culture.
We used the stable Chinese hamster ovary (CHO)
cell line expressing Kv1.3 that has been described in detail elsewhere
(Hahn et al., 1996
). Cells were cultured in Iscove's modified
Dulbecco's medium (GIBCO BRL, Grand Island, NY) supplemented with 10%
FBS, 0.1 mM hypoxanthine, 0.01 mM thymidine, and 500 µg/ml G418
(GIBCO BRL) in a humidified 5% CO2 incubator at 37°C.
The cultures were passed every 3 to 5 days, using brief trypsin
treatment. T lymphocytes were purified from peripheral blood cells from
healthy volunteers. Peripheral blood mononuclear cells were isolated by
density gradient centrifugation on Ficoll-Hypaque (Sigma Chemical Co.,
St. Louis, MO). After 1 h of adherence to nylon wool (Robbin
Scientific, Sunnyvale, CA) in RPMI medium (GIBCO BRL), nonadherent
cells were collected. Cells were maintained in RPMI containing 10%
FCS. Cells used for electrophysiological experiments were seeded onto
glass coverslips (diameter, 12 mm; Fisher Scientific, Pittsburgh, PA) in a Petri dish for 24 to 48 h before use. On each experimental day, coverslips with attached cells were transferred to a continually perfused recording chamber (RC-13; Warner Instrument Corporation, Hamden, CT).
Electrophysiology.
Voltage-clamp recordings were performed
using the whole-cell and excised inside-out configurations of the
patch-clamp technique (Hamill et al., 1981
) at room temperature with an
Axopatch 200B amplifier (Axon Instruments, Foster City, CA).
Micropipettes were fabricated from PG10165-4 glass capillary tubes
(World Precision Instruments, Sarasota, FL) and had a resistance of 2 to 4 M
when filled with pipette solution. Capacitative
currents were compensated with the analog compensation. Linear leak
currents were not compensated. Series resistance was approximately 5 to
10 M
, and series resistance compensation (70-80%) was used in
whole-cell recordings if the current exceeded 1 nA. Currents were
filtered at 2 kHz (four-pole Bessel filter) and sampled at 5 kHz. Pulse
generation, data acquisition, and analysis were performed with an IBM
pentium computer, using the pClamp 6.03 software (Axon Instruments).
For whole-cell recordings, the electrodes were filled with a solution
containing 140 mM KCl, 1 mM CaCl2, 1 mM MgCl2,
10 mM HEPES, and 10 mM EGTA (pH 7.3 with KOH). This solution served as
the bath solution for inside-out patches. The bath solution for
whole-cell recordings contained 140 mM NaCl, 5 mM KCl, 1.3 mM
CaCl2, 1 mM MgCl2, 20 mM HEPES, and 10 mM
glucose (pH 7.3 with NaOH). This solution was used as the pipette
solution for inside-out patches. During the recording, the cells were
continuously perfused at a rate of 1 ml/min with control or
drug-containing solutions. Fluoxetine was obtained from Tocris Cookson
(Bristol, UK). Norfluoxetine was obtained from Research Biochemicals
Inc. (Natick, MA).
80 mV between pulse
protocols. The activation curve was obtained by normalizing the tail
currents measured at
50 mV after stepping the depolarizing voltage
from
50 to 20 mV. Activation curves have been fitted with a Boltzmann
equation: G/Gmax = 1/[1 + exp(V0.5
Vm)/k], where
V0.5 is the voltage at which the
conductance was half-maximal, Vm is the
test potential, and k is the slope factor for the activation curve. The steady-state voltage dependence of inactivation was studied
by using a double-pulse protocol in which the test voltage step to 40 mV, 100 ms long, was preceded by 30-s preconditioning pulses from
80
to 0 mV stepped by 10 mV. Experimental points were fitted with a
Boltzmann equation as follow: I/Imax = 1/[1 + exp(Vm
V0.5)/k], where
Vm is the preconditioning potential, V0.5 is the midpoint potential, and
k is the slope factor of the curve.
The voltage dependence of the block was described with the use of a
Woodhull (1973)
z
FE/RT)}, where
z, F, R, and T are the
charge valence of fluoxetine, the Faraday constant, the gas constant,
and the absolute temperature, respectively; the
value is the
fractional electrical distance (i.e., the fraction of the transmembrane
field sensed by a single charge at the receptor site); and
Kd* is the affinity at the reference
voltage (0 mV).
Concentration-response data were best fitted with the following
logistic equation using Origin 5.0 software (Microcal Software, Northampton, MA): Y = 1/[1 + (IC50/F)n],
where IC50 is the concentration of fluoxetine
resulting in 50% inhibition, F is the fluoxetine
concentration, and n is the Hill coefficient. All the data
were expressed as mean ± S.E. Statistical significance was
determined at the level of .05 using Student's t test or ANOVA.
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Results |
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Figure 1A shows representative
recordings of the Kv1.3 current expressed in CHO cells. Under control
conditions, the Kv1.3 current rapidly rose to a peak and displayed slow
inactivation during a 200-ms depolarizing pulse as reported previously
(Hahn et al., 1996
). In the presence of fluoxetine (1 and 10 µM), the peak amplitude of Kv1.3 currents was slightly reduced and there was an
acceleration in the apparent rate of current decay. The current was
initially activated in a manner similar to that of the control but
subsequently declined markedly. This decline occurred much faster and
to a greater extent than the slow inactivation observed in the control
(156.4 ± 9.9 ms for control; 89.3 ± 6.5 ms for 10 µM
fluoxetine, n = 7). Therefore, the reduction in Kv1.3 currents at the end of the pulse was used as an index of inhibition. The concentration dependence of the inhibition of Kv1.3 induced by
fluoxetine, in a range of concentrations between 1 and 30 µM, is
presented in Fig. 1B. Nonlinear least-squares fit of the data yielded
an apparent IC50 value of 5.9 µM with a Hill
coefficient of 1.3.
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Current-voltage relations for Kv1.3 currents at the end of the voltage
step, as in Fig. 2, indicated that
fluoxetine reduced Kv1.3 currents for the entire voltage range over
which this current was activated (Fig. 2C). To quantify the effects of
voltage on the drug-channel interaction, the relative current
(Ifluoxetine/Icontrol) was
plotted as a function of membrane potential together with the
activation curve (Fig. 2D). The current was activated at
40 mV and
the conductance of the channel was fully saturated at 0 mV. In the
presence of 10 µM fluoxetine, the inhibition increased steeply
between
20 and 0 mV, which corresponded with the voltage range for
channel opening. Over potentials where conductance is saturated (0 to
+40 mV), inhibition continued to increase with a shallow voltage
dependence. For instance, with 10 µM fluoxetine, the degree of
inhibition increased in a voltage-dependent manner from 54.6 ± 5.9% at 0 mV to 64.8 ± 3.5% at +40 mV (p < .05, ANOVA, n = 6). This result indicates that
fluoxetine binds primarily to the open channel. By fitting these data
according to the Woodhull model, the calculated fractional electrical
distance (
) was 0.29.
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The voltage dependence of activation and steady-state inactivation in
the presence of fluoxetine was evaluated to investigate whether the
inhibition was due to a shift of activation and inactivation curves
(Fig. 3). The activation curve of Kv1.3
was not affected by 10 µM fluoxetine. V50
and k were
23.3 mV and 6.9 for control and
24.4 mV and
6.1 in the presence of 10 µM fluoxetine, respectively (Fig. 3A). A
similar lack of effect of fluoxetine on the voltage dependence of
steady-state inactivation was observed. In the absence of drug,
V50 and k were
44.6 mV and
5.2, respectively. In the presence of 10 µM fluoxetine,
V50 and k were not significantly changed and were
47.2 mV and 4.9, respectively (Fig. 3B).
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Figure 4 shows the effects of fluoxetine
on Kv1.3 current deactivation kinetics. The reversal potential for
Kv1.3 currents was approximately
80 mV and was not changed in the
presence of 10 µM fluoxetine (Fig. 4A). To compare the time course of
decay of the tail current, outward tail currents were recorded at a potential of
50 mV after a 200-ms step depolarization to +40 mV in
control conditions and in the presence of 10 µM fluoxetine and have
been superimposed (Fig. 4B). In the absence of fluoxetine, Kv1.3
currents deactivated with a time constant of 15.6 ± 1.4 ms
(n = 4). In the presence of fluoxetine, the tail
current amplitude was reduced and the subsequent decline of the current
was slower (24.1 ± 2.5 ms, n = 4, p < .05, Student's t test) than in control conditions, which resulted in a crossover phenomenon. These results also support an open channel interaction between fluoxetine and the
Kv1.3 channel.
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At this point, it is important to know whether fluoxetine blockade of
Kv1.3 occurred from the intracellular or extracellular side of the
membrane. In an attempt to determine on which side of the membrane
Kv1.3 channels could be blocked by fluoxetine, the time courses for
onset of inhibition by 10 µM fluoxetine under whole-cell and
inside-out recordings were compared (Fig.
5). Cells were repetitively pulsed from
80 to +40 mV every 30 s. Both phases were well described by a
single exponential decay function with on time constants
(
on). For whole-cell recordings,
on was 43.9 ± 5.0 s
(n = 5). The time course for inhibition with inside-out recordings was significantly faster, and
on
was 17.4 ± 1.8 s (n = 4). In addition, in
the presence of fluoxetine at the same concentrations, the current was
greatly reduced in inside-out recordings compared with that in
whole-cell recordings. One explanation for the short exposure times
required to achieve steady-state inhibition and the increased
sensitivity by fluoxetine in inside-out recordings compared with
whole-cell recordings is that the site of action of this drug is on the
intracellular side of Kv1.3 channels. To examine the possibility that
fluoxetine had an intracellular site of action, inside-out recordings
were performed to confirm this interpretation. The averaged normalized
current values obtained in inside-out patches in the presence of
various concentrations of fluoxetine are shown in Fig.
6. The drug concentration needed to
induce 50% current inhibition in inside-out patches was 1.7 µM (Fig.
6B). Compared with whole-cell recordings, Kv1.3 currents in inside-out
patches were more sensitive to fluoxetine. These results strongly
suggest that the inhibition of Kv1.3 by fluoxetine is due to binding to
an intracellular site. In addition, in inside-out patches, the main
effect of fluoxetine was to accelerate the rate of Kv1.3 current decay,
whereas the peak current was only slightly reduced, as was shown in
whole-cell recordings (Fig. 6A). Under control conditions, Kv1.3
current decay was well fitted to a single exponential with a time
constant of 112.6 ± 11.6 ms. After the addition of 1, 3, and 10 µM fluoxetine, Kv1.3 current decay was significantly accelerated and
was 74.9 ± 6.2, 58.4 ± 5.6, and 39.4 ± 3.3 ms,
respectively (Fig. 6C).
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After administration, fluoxetine is metabolized with norfluoxetine as
the major metabolic product; thus, it is of interest to examine whether
norfluoxetine also inhibits Kv1.3 channels. Figure
7 shows the effects of norfluoxetine on
Kv1.3 in whole-cell recordings. From the analysis of the
concentration-response curve, norfluoxetine was about 4-fold more
potent at inhibiting Kv1.3 than fluoxetine, displaying an
IC50 value of 1.4 µM. Also, like fluoxetine,
norfluoxetine accelerated the rate of Kv1.3 current decay.
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Finally, to check whether the fluoxetine-induced inhibition
demonstrated in cell transfected with Kv1.3 channels could also be
observed in native T lymphocytes, we investigated the effects of
fluoxetine on human T lymphocytes (Fig.
8). Fluoxetine (10 µM) also decreased
the outward K+ current in human T lymphocytes by
21.4 ± 4.9% (n = 3). Therefore, the same effects
of fluoxetine on Kv1.3 were observed both in Kv1.3 transfected CHO
cells and in human T lymphocytes.
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Discussion |
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In the present study, we demonstrated that fluoxetine is a potent blocker of the Kv1.3 channel stably expressed in CHO cells and native human T lymphocytes. Furthermore, norfluoxetine, a major metabolite of fluoxetine, also inhibited Kv1.3. Fluoxetine produced a concentration- and voltage-dependent inhibition of Kv1.3 channels. The main effect of fluoxetine was to accelerate Kv1.3 current decay during step depolarization, thus reducing current amplitude at the end of the test pulse. This effect was observed at concentrations as low as 1 µM, which is within the range of concentrations observed clinically.
Fluoxetine-induced acceleration of the rate of decline of Kv1.3
currents can be due to several mechanisms, including block of open
channels. As shown in Figs. 1 and 6, there was little inhibition of
Kv1.3 at the onset of depolarization. This finding indicated that
fluoxetine does not preferentially bind to the resting state of the
channel. However, on depolarization, fluoxetine caused an acceleration
of the time course of decay of Kv1.3 currents in a
concentration-dependent manner. A possible explanation is that
fluoxetine preferentially binds to the open state of the channel or
accelerates current inactivation. However, it is unlikely that this
acceleration of current inactivation was due to alteration of gating
kinetics because activation and steady-state inactivation properties of
Kv1.3 are not affected by fluoxetine. In addition, the interaction of
fluoxetine with the Kv1.3 channel was voltage-dependent. The inhibition
increased steeply in the voltage range of channel activation, thus
providing further strong evidence that the channels must open before
fluoxetine can bind and block permeation. Consistent with the
predominantly cationic form of this drug at physiological pH
(pKa ~10), fluoxetine displays a greater block
at more depolarized potentials. A fractional electrical distance
calculated from the Woodhull model
= 0.29 was obtained in this
experiment with 10 µM fluoxetine. This
value was similar to the
value
= 0.24 obtained in previous reports for fluoxetine in
Kv1.1 channels (Tytgat et al., 1997
). The
value indicated that the
positively charged fluoxetine senses about 29% of the applied
transmembrane electrical field as referenced from the intracellular
side. This finding reflects blockade of the open channel from the
inside, consistent with the effect of fluoxetine in inside-out patches (see below). Open channel block can also affect the time course of the
tail current. In our experiment, fluoxetine decreased the peak tail
current amplitude and slowed the time course of tail currents,
producing a crossover phenomenon of the tail currents. This phenomenon
has been also reported with the block of other open state
K+ channel blockers (Snyders et al., 1992
;
Delpón et al., 1996
; Tytgat et al., 1997
). However, the slower
deactivation kinetics, in the presence of fluoxetine, might also be
interpreted as drug-bound inactivated channels taking longer to
deactivate due to a structural requirement for returning to their
closed resting state via a transition through the open state. Because
many Shaker-type K+ channels
exhibit C-type inactivation during a prolonged depolarizing pulse
(Hoshi et al., 1991
), we cannot exclude an interaction of fluoxetine
with the inactivated state of Kv1.3. On the other hand, the reduction
of the peak current occurring at higher concentrations could be
attributed to an interaction of the drug with the closed resting state
of the channel (tonic block). Although the instantaneous block on
depolarization can occur if an open channel block developed before the
time of the peak current, the present data are not sufficient to
validate such a hypothesis and the possibility of inhibition of the
channel in the resting state cannot be completely ruled out.
Because fluoxetine is highly lipid-soluble and is permeable to
biological membranes, externally applied fluoxetine inhibited Kv1.3
currents by binding to an extracellular site or by diffusing through
the cell membrane and gaining access to the binding site from the
internal surface. However, our results strongly suggest that inhibition
of Kv1.3 by fluoxetine is due to binding of fluoxetine to an
intracellular site. From the analysis of the concentration dependence
of inhibition, it was evident that the Kv1.3 channel was more sensitive
to fluoxetine applied from the intracellular side of the membrane. The
discrepancy in the IC50 values obtained for
inside-out and whole-cell recordings suggests that the Kv1.3 channel
binding site for fluoxetine is on the intracellular side of the
channels. The IC50 value of fluoxetine for
inhibiting Kv1.3 expressed in CHO cells is much less than the value
reported for the blockade of Kv1.1 expressed in Xenopus
oocytes (IC50 = 300-700 µM). Moreover, the
slow and incomplete reversal reported in previous reports (Tytgat et
al., 1997
; Hahn et al., 1999
) probably is the result of fluoxetine
accumulation within the cells. If this is indeed the case, the
rate-limiting step for inhibition would be the rate of diffusion into
the plasma membrane. A slower rate of diffusion of fluoxetine through
the plasma membrane may be the reason for the lower potency and the
long exposure time required to inhibit Kv1.3 in whole-cell recordings
compared with inside-out recordings. Taken together, all these results
suggest that fluoxetine accesses its binding site of Kv1.3 from the
intracellular side of the channel.
Kv1.3 has been demonstrated to be the predominant voltage-activated
K+ channel in human T lymphocytes, and its
electrophysiological properties have been well characterized (Matteson
and Deutsch, 1984
; DeCoursey et al., 1985
). The role of Kv1.3 in human
T lymphocytes remains unclear, but the possible involvement of this
K+ channel in T lymphocyte activation has been
reported by several investigators. There is some evidence that drugs
that block Kv1.3 channels also inhibit the activation and proliferation
of T lymphocytes (Chandy et al., 1984
; Lin et al., 1993
). In humans,
therapeutic doses of fluoxetine used in the management of depression
result in plasma levels of approximately 1 µM. Thus, it is possible
that concentrations required to inhibit Kv1.3 in our experiments can be
achieved in various clinical conditions. In addition, fluoxetine is
extensively metabolized to norfluoxetine. Norfluoxetine also is a
serotonin reuptake inhibitor and its pharmacological action is
similar to that of the parent drug (Lucas, 1992
). The half-lives of
both drugs are relatively long (4-15 days). In our experiment, both
fluoxetine and norfluoxetine inhibited Kv1.3 with an
IC50 value of ~1 µM, which is comparable to
therapeutic plasma concentrations. Although the clinical relevance of
the Kv1.3 channel inhibition by fluoxetine and norfluoxetine is unclear
at the present time, there is considerable evidence demonstrating the
effects of fluoxetine on immune cell function. More recently,
fluoxetine was found to decrease the mitogen-induced lymphocyte
proliferation and natural killer cell cytolytic activity in rats
(Pellegrino and Bayer, 1998
). Presently, it is unclear whether the
effects of fluoxetine on the immune system may be directly related to
inhibition of voltage-activated K+ channels in
human T lymphocytes. Because the potential of Kv1.3 as a target for an
immunosuppressive drug has been recognized, the fluoxetine-induced
inhibition of Kv1.3 channels could be of clinical relevance with
IC50 values similar to therapeutic plasma concentrations.
We conclude that fluoxetine and its metabolite, norfluoxetine, inhibit Kv1.3 channels, a major voltage-activated K+ channel in human T lymphocytes, at clinically relevant concentrations and that such effects may have pharmacological significance.
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Acknowledgments |
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We thank Dr. Kaczmarek (Yale University School of Medicine) for the Kv1.3 transfected CHO cells, Dr. T. G. Kim for providing human T lymphocyte, and Won Kim for reading the manuscript.
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Footnotes |
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Accepted for publication June 1, 1999.
Received for publication February 15, 1999.
1 This work was supported by the Catholic Medical Center Research Fund for Special Projects (1997) and in part by Research Grant for Basic Medicine G-015712 (1997) from the Ministry of Education.
Send reprint requests to: Dr. Sang June Hahn, Department of Physiology, College of Medicine, The Catholic University of Korea, 505 Banpo-dong, Socho-gu, Seoul 137-701, Korea. E-mail: sjhahn{at}cmc.cuk.ac.kr
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Abbreviations |
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SSRI, selective serotonin reuptake inhibitor; CHO, Chinese hamster ovary.
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References |
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