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Biophys J, September 2000, p. 1324-1335, Vol. 79, No. 3
Institute of General Pathology and Pathophysiology, Baltiyskaya 8, 125315, Moscow, Russia
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ABSTRACT |
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The blockade of open N-methyl-d-aspartate (NMDA) channels
by tetrapentylammonium (TPentA) in acutely isolated rat hippocampal neurons was studied using whole-cell patch-clamp techniques. TPentA prevented the closure of the NMDA channel following what is
known as the foot-in-the-door mechanism. Hooked tail currents appearing after termination of the agonist (aspartate) and TPentA coapplication were analyzed quantitatively according to the corresponding sequential kinetic model. Studies of the hooked tail current amplitude and the
degree of the stationary current inhibition dependence on the blocker
concentration led to a new method for estimation of fast
foot-in-the-door blocker binding/unbinding rate constants. The
application of this method to the NMDA channel blockade by TPentA
allowed finding the values of its binding (1.48 µM
1s
1) and
unbinding (14 s
1) rate constants. An analysis
of the dependence of the electric charge carried during the hooked tail
current on the blocker concentration led to a new method for estimation
of the maximum NMDA channel open probability,
P0. The value of
P0 found in experiments with TPentA was
0.04.
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INTRODUCTION |
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Unique properties, such as high
Ca2+ permeability (MacDermott et al., 1986
),
voltage-dependent Mg2+ block (Nowak et al.,
1984
), and slow activation kinetics (Johnson and Ascher, 1987
; Lester
et al., 1990
), as well as complex regulation of NMDA channels, underlie
their implication in synaptic plasticity and development, learning, and
memory, as well as a variety of pathological processes occurring in the
brain (McBain and Mayer, 1994
; Dingledine et al., 1999
). The important
physiological role of NMDA channels explains the broad interest in
their properties, structure, and regulation. Identification of the NMDA
channel blocking mechanisms is important not only because the blockers are used in the clinical practice for treatment of a variety of neurological disorders (Danysz and Parsons, 1998
; Parsons et al., 1998
,
1999
), but also because they proved to be one of the most effective
tools in the study of the gross architecture of NMDA channels (Koshelev
and Khodorov, 1992
, 1995
; Subramaniam et al., 1994
; Benveniste and
Mayer, 1995
; Zarei and Dani, 1995
; Antonov et al., 1998
; Sobolevsky and
Koshelev, 1998
; Sobolevsky et al., 1998
, 1999a
,b
; Antonov and Johnson,
1999
; Sobolevsky, 1999
).
According to their action on NMDA channel gating, all blockers
can be subdivided into two main groups: those that prevent the channel
closure and those that do not prevent it. The latter group, or the
group of trapping blockers, includes MK-801, phencyclidine, NEFA,
ketamine, aminoadamantanes,
N-2-(adamantyl)-hexamethylenimine (A-7),
tetramethylammonium, tetrapropylammonium and Mg2+
(MacDonald et al., 1987
, 1991
; Huetter and Bean, 1988
; Johnson et al.,
1995
; Blanpied et al., 1997
; Chen and Lipton, 1997
; Dilmore and
Johnson, 1998
; Sobolevsky et al., 1998
, 1999b
; Sobolevsky and
Yelshansky, 2000
). In contrast, the blockers such as 9-aminoacridine, tacrine, long-chain adamantane derivatives, and tetrapentylammonium (Koshelev and Khodorov, 1992
, 1995
; Costa and Albuquerque, 1994
; Vorobjev and Sharonova, 1994
; Antonov et al., 1995
, 1998
; Benveniste and Mayer, 1995
; Johnson et al., 1995
; Antonov and Johnson, 1996
; Sobolevsky, 1999
; Sobolevsky et al., 1999b
) are thought to prevent the
closure of the channel activation gate according to the
"foot-in-the-door" mechanism. All currently known foot-in-the-door
blockers show relatively fast binding/unbinding kinetics. To describe
this kinetics, single-channel rather than whole-cell recordings were
extensively used (Costa and Albuquerque, 1994
; Nelson and Albuquerque,
1994
; Antonov et al., 1995
, 1998
; Johnson et al., 1995
; Antonov and Johnson, 1996
). Using TPentA as an example, this study provides a
quantitative description of fast foot-in-the-door blocker
binding/unbinding kinetics based solely upon whole-cell recordings.
Another important question considered in the present study is
the estimation of the maximum NMDA channel open probability, P0. Both trapping (MK-801: Huetter and
Bean, 1988
; Jahr, 1992
; Hessler et al., 1993
; Rosenmund et al., 1995
;
Dzubay and Jahr, 1996
; Chen et al., 1999
) and foot-in-the-door blockers
(9-aminoacridine: Benveniste and Mayer, 1995
; Chen et al., 1999
) were
used to determine the value of P0.
However, both MK-801 and 9-aminoacridine methods have a number of
disadvantages (Benveniste and Mayer, 1995
; Dilmore and Johnson, 1998
).
This study presents an alternative method for
P0 estimation. The application of this
method to the TPentA-induced blockade revealed rather a low value of
the maximum NMDA channel open probability,
P0 ~ 0.04.
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MATERIALS AND METHODS |
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Pyramidal neurons were acutely isolated from the CA-1 region of
rat hippocampus using vibrodissociation techniques (Vorobjev, 1991
).
The experiments were begun after 3-hour incubation of hippocampal slices in a solution containing NaCl, 124 mM; KCl, 3 mM;
CaCl2, 1.4 mM; MgCl2, 2 mM;
glucose, 10 mM; NaHCO3, 26 mM. The solution was
bubbled with carbogen at 32°C. During the whole period of isolation
and current recording, nerve cells were washed with a
Mg2+-free 3 µM glycine-containing solution of
NaCl, 140 mM; KCl, 5 mM; CaCl2, 2 mM; glucose, 15 mM; HEPES, 10 mM; pH 7.3. Fast replacement of superfusion solutions was
achieved by using the concentration-jump technique (Benveniste et al.,
1990a
; Vorobjev, 1991
) with one application tube. This technique allows
substitution of the tubular for the flowing solution with a time
constant smaller than 30 ms but backward with the time constant of 30 to 100 ms (Sobolevsky, 1999
). Therefore, except where noted (Fig. 8
A), the rate of the solution exchange was fast at the
beginning of any application and slightly slower at its termination.
The currents were recorded at 18°C in the whole-cell configuration
using micropipettes made from pyrex tubes and filled with an
intracellular' solution of CsF, 140 mM; NaCl, 4 mM; HEPES, 10 mM; pH
7.2. The electric resistance of the filled micropipettes was 3 to 7 M
. Analogue current signals were digitized at 2 kHz and filtered at
1 kHz frequency. The magnitude of the junction potential was about 4 mV
irrespective of the presence of TPentA in the external solution. No
correction for the junction potential was made because of its
negligibility in comparison with the value of the holding membrane
potential (
100 mV) at which all experiments were carried out.
Statistical analysis was performed using the scientific and technical graphics computer program Microcal Origin (version 4.1 for Windows). The data presented are means ± SE; a comparison of the means was done byanalysis of variance, with p < 0.05 taken as significant.
The dependencies of the degree of the stationary current inhibition,
1
IB/IC
(where IC and
IB are the stationary control and
blocked currents, respectively; see Fig.
1 A), the normalized charge
carried during the tail current, Q, and the amplitude of the
hooked tail current, (IP
IB)/IC
(where IP is the maximum value of the
hooked tail current; see Fig. 1 A), on the blocker concentration were fitted by the following logistic equation:
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(1) |
IB/IC,
Q, or (IP
IB)/IC;
A1 and
A2 are the minimum and maximum values
of F([B]), respectively; [B] is the blocker
concentration; [B]0 is the blocker
concentration resulting in 50% effect, and p is the Hill
coefficient describing the steepness of the fit.
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The kinetic model used to simulate the blocking action of TPentA was
based on the conventional rate theory and used independent forward and
reverse rate constants to simultaneously solve first-order differential
equations representing the transitions between all possible states of
the channel. The processes of NMDA channels activation, opening, and
desensitization were described in accordance with a kinetic model
proposed by Lester and Jahr (1992)
. The kinetic constants for the
agonist binding, l1 = 2 µM
1s
1,
and unbinding, l2 = 25 s
1, were taken to be
approximately the same as those determined for NMDA (Benveniste and
Mayer, 1991
). The choice of the value of the NMDA unbinding rate
constant for aspartate can be justified by the striking similarity in
the kinetics of the current decay after short-term NMDA and aspartate
applications (Lester and Jahr, 1992
). The applicability of the NMDA
binding rate constant to aspartate follows from the fact that
EC50 measured in our experiments with aspartate
(15.5 ± 1.1 µM, n = 6) is practically the same as EC50 predicted by Model 1 at the values of
l1 and
l2 listed above (16.1 ± 0.4 µM). The kinetic constants for the entrance into (
) and recovery
from (
) desensitization, determined by the
previously described method (Sobolevsky and Koshelev, 1998
), were 0.93 s
1 and 0.82 s
1, respectively. The
choice of the value of the kinetic constant for the channel closure,
, was based on the studies of single NMDA channels
(Ascher et al., 1988
; Cull-Candy and Usowich, 1989
; Jahr and Stevens,
1990
). As the mean open time in these studies varied from 2.5 to 7 ms,
the value of 200 s
1 was
taken for
. Therefore, with the exception of the rate
constant of the channel opening,
, each rate constant for
the NMDA channel activation scheme (Lester and Jahr, 1992
) can be
estimated within a short range of magnitude. In contrast, indirect
methods of estimation of
, which cannot be measured directly, gave
extremely scattered values. Thus, the value of the maximum NMDA channel
open probability, P0 =
/(
+
), which at a given
is mutually dependent on
, was estimated
in different studies in a wide range of 0.025 to 0.520 (Jahr, 1992
;
Hessler et al., 1993
; Benveniste and Mayer, 1995
; Rosenmund et al.,
1995
; Dzubay and Jahr, 1996
; Chen et al., 1999
). Due to this large
scatter in values, the initially unknown value of
was estimated in
the present study.
The solution exchange was assumed to be a single-exponential process
(Benveniste et al., 1990b
). The time constant of the solution exchange
at the beginning of the agonist and the blocker coapplication measured
by the method of sodium concentration jumps (Vyklicky et al., 1990
;
Chen and Lipton, 1997
) varied in a wide range of 5 to 25 ms and in the
modeling experiments was accepted as 10 ms. The initially unknown
values of the time constant of the solution exchange at termination of
the agonist and the blocker coapplication,
wash, as well as the rate constants
of the blocker binding and unbinding,
kon and
koff, respectively, were estimated. Up
to the moment of estimation, the value of
kon was taken arbitrarily (3.5 µM
1s
1
as for tetrabutylammonium in the previous study by Sobolevsky, 1999
)
but the blocker concentration was measured in the values of the
microscopic Kd = koff/kon.
Differential equations were solved numerically using the algorithm
analogous to that described previously (Benveniste et al., 1990b
).
Tetrapentylammonium was purchased from Aldrich (Milwaukee, WI).
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RESULTS |
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Ionic currents through NMDA channels were elicited by fast
application of 100 µM aspartate (ASP) in a
Mg2+-free, 3 µM glycine-containing solution. At
the holding potential of
100 mV, ASP induced an inward current that,
after an initial fast rise (
< 30 ms) up to the value,
I0, indicating the opening of NMDA
channels, decreased gradually (
D = 570 ± 25 ms, n = 7) down to a certain plateau
level, IC (Fig. 1 A). Such
a current decay under the continuing action of the agonist is
considered to be the result of desensitization of the receptor-channel
complex. The fraction of desensitized channels, d = 1
IC/I0,
was, on average, 0.44 ± 0.06 (n = 7). TPentA
inhibited the ASP-induced currents in a
concentration-dependent manner with both the initial and the
stationary currents decreased with an increase in the TPentA
concentration (Fig. 1 A). The dependence of the degree of
the stationary current inhibition (1
IB/IC)
on the blocker concentration was well fitted by Eq. 1 (not shown). The
parameter A1 was fixed at 0 (when
TPentA concentration, [B] = 0, the current inhibition was absent).
The value of A2 when this parameter
was left free proved to be indistinguishable from 1 (1.00 ± 0.11, n = 7). As this value is predicted by kinetic modeling
(see Eq. 2 below), A2 was fixed at 1 in order to minimize the errors for the varied parameters. The values
of the varied parameters were as follows: p = 0.55 ± 0.04 and IC50 = [B]0 = 0.54 ± 0.05 mM (n = 7).
The termination of each agonist and blocker coapplication was
followed by a transient increase in the inward current (hooked tail
current) that was absent when ASP was applied alone (Fig. 1
A). The duration of the hooked tail current,
tHook, measured starting from the
beginning of the solution exchange at the level of the stationary
blocked current, IB, increased almost
linearly with an increase in the degree of stationary current
inhibition, 1
IB/IC,
but was better fitted by a parabola (Fig. 1 B). The value of
tHook corresponding to 50% stationary
current inhibition, tHook50, was 254 ± 9 ms (n = 7).
The electrical charge (measured by integrating the current curve starting from the beginning of the solution exchange) carried during the hooked tail current, Qhook, was higher than that carried during the control tail current, Qcontrol. Their ratio, Q = Qhook/Qcontrol, increased with an increase in the TPentA concentration. The dependence of Q on the TPentA concentration was well fitted by Eq. 1 at fixed A1 = 1 (when the TPentA concentration, [B] = 0, the control and blocked currents coincide and, correspondingly, Q = 1). The values of the varied parameters were as follows: A2 = 2.16 ± 0.08, p = 1.01 ± 0.23, and [B]0 = 0.40 ± 0.12 mM (n = 7; Fig. 1 C).
The amplitude of the hooked tail current,
(IP
IB)/IC,
also increased with TPentA concentration. The
(IP
IB)/IC
dependence on the TPentA concentration was well fitted by Eq.1 at fixed
A1 = 0 (when TPentA concentration,
[B] = 0, the control and blocked currents coincide and,
correspondingly, the hooked tail current is absent). The values of the
varied parameters were as follows: A2 = 1.11 ± 0.10, p = 1.30 ± 0.26, and
[B]0 = 0.47 ± 0.10 mM (n = 7; Fig. 1 D).
The following model was used to simulate the blocking effect of TPentA
on NMDA channels (Sobolevsky et al.,
1999b
):
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where C, D, and O represent the channel in closed, desensitized, and open states, respectively. The subscripts A, AA, and B indicate the binding of one agonist, two agonist, and one blocker molecule to the channel, respectively, and [A] is the agonist concentration. The conducting state is marked with an asterisk.
Model 1 implies that the blocker prohibits the channel closure and,
consequently, desensitization and the agonist dissociation from the
blocked channel. This model predicted hooked tail currents. Their
characteristics, tHook, Q
and (IP
IB)/IC,
strongly depended on the unknown parameters, the time constant of the
solution exchange,
wash, the rate
constant of the channel opening,
, or the maximum open probability,
P0 =
/(
+
) (
and P0 are mutually dependent at a
given
and only P0 will be
mentioned further), and the blocker unbinding rate constant,
koff (Fig.
2). The hooked tail current became
smaller and wider with an increase in
wash
(Fig. 2 A). Its duration,
tHook, did not change significantly
with the maximum open probability, but its amplitude,
(IP
IB)/IC,
decreased with P0 (Fig. 2
B). (IP
IB)/IC
increased with the blocker unbinding rate constant, whereas
tHook remained approximately constant
at different koff (Fig. 2
C).
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The dependencies of tHook,
Q, and (IP
IB)/IC
on
wash,
P0, and
koff under the conditions of
Fig. 2 are shown in Fig. 3. The duration
of the hooked tail current, tHook,
depended strongly on
wash (Fig. 3
A) but did not change significantly with
P0 and koff (Fig. 3, B and
C). The normalized charge carried during the hooked tail
current, Q, depended on both
wash and
P0 (Fig. 3, D and
E) but did not change significantly with
koff (Fig. 3 F). Finally,
the hooked tail current amplitude (IP
IB)/IC,
depended on all three parameters (Fig. 3, G
I).
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The dependencies shown in Fig. 3 permit the estimation of the unknown
parameters
wash,
P0, and
koff by measuring
tHook, Q, and
(IP
IB)/IC.
Indeed, by comparing the tHook
dependencies on the degree of the stationary current inhibition
predicted by Model 1 at different values of
wash, one can identify the one that
simulates the experimental tHook
dependence (Fig. 1 B). The corresponding value of
wash will be an estimate of the
experimental time constant of the solution exchange. At this fixed
value of
wash, the Q
dependencies on TPentA concentration predicted by Model 1 at different
values of P0 make it possible to
establish the one that simulates the experimental Q
dependence (Fig. 1 C). The corresponding
P0 value will be an estimate of the
experimental maximum open probability. Finally, at fixed values of
wash and P0, the dependence of
(IP
IB)/IC
on TPentA concentration predicted by Model 1 at different values of
koff will permit determination of
which one simulates the experimental
(IP
IB)/IC
dependence (Fig. 1 D). The corresponding value of
koff is an estimate of the
experimental value of the TPentA unbinding rate constant.
The procedure described above for estimation of
wash,
P0, and
koff was carried out with the initial
values of P0 = 0.09 and koff = 1000 s
1 used in our previous
study (Sobolevsky et al., 1999b
). To minimize the errors in estimation
of
wash,
P0, and
koff, this procedure was repeated five
times, each time taking the values of the parameters found in the
previous iteration as initial values for the next one. The results of
the second iteration did not differ significantly from those of further
iterations. The results of the fifth iteration are illustrated in Figs.
4
6.
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The dependence of tHook on the degree
of the stationary current inhibition, 1
IB/IC,
predicted by Model 1 was nearly linear at different values of
wash but was better described by a
parabola (Fig. 4 A). The value of the duration of the hooked
tail current at 50% current inhibition,
tHook50, increased linearly with an increase
in
wash (Fig. 4 B). The value
wash = 70 ms corresponded to
the experimental value of tHook50 (254 ms,
Fig. 1 B) and was within the range of
wash values (30-80 ms) estimated
previously for the application system used (Sobolevsky, 1999
).
The value of the normalized charge carried during the hooked tail current, Q, predicted by Model 1 increased with the blocker concentration and was well fitted by Eq. 1 (Fig. 5 A). The value of the parameter p changed slightly when the value of P0 was varied. Thus, p increased from 1.03 at P0 = 0.020 to 1.18 at P0 = 0.074. In contrast, the value of the parameter A2 strongly depended on P0. Thus, the value of A2 decreased from 4.01 at P0 = 0.020 to 1.37 at P0 = 0.074. The dependence of A2 on P0 was decreasing and in the range of P0 tested was well fitted by a parabola (Fig. 5 B). The value P0 = 0.041 corresponded to the experimental value of A2 (2.16, Fig. 1 C).
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The value of the amplitude of the hooked tail current,
(IP
IB)/IC,
predicted by Model 1 increased with the blocker concentration and was
well fitted by Eq. 1 (Fig. 6
A). The value of the parameter p was slightly
different at different koff: it
decreased from 1.64 at koff = 2 s
1 to 1.05 at
koff = 1000 s
1. The value of
A2 depended more strongly on
koff. Thus,
A2 increased from 0.38 at
koff = 2 s
1 to 1.65 at
koff = 1000 s
1. The dependence of
A2 on
koff was well fitted by Eq. 1 (Fig. 6
B). The value of koff = 14.0 s
1
corresponded to the experimental value of
A2 (1.11, Fig. 1 D).
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The mean outcome of the last four iterations allowed to estimate the
values of the time constant of the solution exchange,
wash = 67 ± 3 ms, the maximum
NMDA channel open probability, P0 = 0.042 ± 0.002, and the TPentA unbinding rate constant,
koff = 14.1 ± 0.2 s
1. The only remaining
parameter was the TPentA binding rate constant, kon. It was easy to find the value of
kon at given
koff taking into account that Model 1 should simulate the effectiveness of blocking action of TPentA measured
in the experiment as IC50 = 0.54 ± 0.05 mM.
At the values of parameters
wash,
P0, and
koff determined, the dependence of the
stationary current inhibition, 1
IB/IC, on the blocker concentration, [B], predicted by Model 1 was well fitted by Eq. 1 with A1 = 0, A2 = 1, p = 1.03 ± 0.01, and [B]0 = 56.7 ± 0.1 Kd. To simulate the experiment,
[B]0 should be equal to
IC50, or 56.7 Kd = 56.7 koff/kon = IC50. From the latter equality, it
was easy to define the TPentA binding rate constant,
kon = 56.7 koff/IC50 = 1.48 µM
1s
1.
At the new value of kon, Model 1 predicts the concentration dependence of the stationary current
inhibition with IC50 = 0.54 mM which is equal to
the experimental one. However, the value of the Hill coefficient,
p = 1, predicted by Model 1 (see also Eq. 2 below) is
much higher than that determined experimentally, p = 0.55 ± 0.04. This discrepancy can be explained by the
heterogeneity of the TPentA affinity due to the heterogeneity in the
NMDA receptor subunit combinations expressed in the neurons under
study. On the other hand, this discrepancy presumably does not reflect
the heterogeneity of the mechanism of TPentA action on NMDA channels. The reason is in the striking similarity of the foot-in-the-door blockade simulated by Model 1 and that observed in the experiment. This
can be clearly seen from the following tests of Model 1 at the values
of parameters
wash,
P0,
kon, and
koff determined.
First, Model 1 was tested in an experiment with the agonist and the
blocker coapplication (Fig. 7). The
currents predicted by Model 1 at different blocker concentrations (Fig.
7 A, first line) were very similar to those observed in the
experiment with TPentA (Fig. 7 A, second line). The
coincidence of the experimental and modeling data differs only during
the recovery of the current after termination of ASP application (the
experimental recovery kinetics contains a slow component which is not
practically resolved in the modeling recovery). This discrepancy is not
surprising because the activation model used in the present study
(Lester and Jahr, 1992
) is simple and cannot reproduce many of the NMDA receptor properties described in single-channel studies (Ascher et al.,
1988
; Cull-Candy et al., 1988
; McLarnon and Curry, 1990
; Howe et al.,
1991
; Gibb and Colquhoun, 1992
). Thus, the existence of a slow
component in control current relaxation can be explained, for example,
by more complex NMDA receptor desensitization (Sather et al., 1992
) or
by infringement of the principle of independence of the binding of two
agonist molecules to the receptor (Benveniste and Mayer, 1991
).
|
Fig. 7, B
D, tests the ability of the fitting
procedure to provide reasonable fits. The dependence of duration of the
hooked tail current, tHook, on the
degree of the stationary current inhibition, 1
IB/IC,
was fitted by a parabola (Fig. 7 B) and the value of tHook corresponding the 50%
stationary current inhibition, tHook50 = 267 ± 15 ms, was close to that observed experimentally
(tHook50 = 254 ± 9 ms, Fig. 1
B).
The dependence of Q on the blocker concentration predicted by Model 1 was well fitted by Eq. 1 (Fig. 7 C) with the following values of parameters: A1 = 1, A2 = 2.13 ± 0.01, p = 1.07 ± 0.02, and [B]0 = 0.33 ± 0.01 mM, which were quite similar to those observed in the experiment (A1 = 1, A2 = 2.16 ± 0.08, p = 1.01 ± 0.23, and [B]0 = 0.40 ± 0.12 mM; Fig. 1 C).
The dependence of the amplitude of the hooked tail current on the
blocker concentration predicted by Model 1 was well fitted by Eq. 1
(Fig. 7 D) with A1 = 0, A2 = 1.03 ± 0.03, p = 1.37 ± 0.10, and [B]0 = 0.49 ± 0.04 mM and was in reasonable agreement with the
experimental (IP
IB)/IC
dependence (A1 = 0, A2 = 1.11 ± 0.10, p = 1.30 ± 0.26, and [B]0 = 0.47 ± 0.10 mM; Fig. 1 D).
For further verification, Model 1 was tested in experiments which can
be considered as qualitative criteria for distinguishing the fast
blockers that prevent or do not prevent the channel closure, desensitization, and agonist dissociation (Sobolevsky et al., 1999b
).
First, Model 1 was examined to simulate the recovery of the
blocker-inhibited current in the continuous presence of the agonist (Fig. 8 A). Both the
experimental (left trace) and simulated (right trace) recovery currents
exceeded the stationary level, IC,
thus forming an "overshoot". In both cases, the falling phase of
the overshoot contained the fast component reflected the closure of the
unblocked channels (the transition from O*AA
to CAA in Model 1), and the slow component
reflected channel desensitization (the transition from
CAA to DAA). Such a
two-component current recovery in the continuous presence of the
agonist observed in the experiment with TPentA and well simulated by
Model 1 is a characteristic feature of the blocker that prevents the
channel closure (Sobolevsky et al., 1999b
).
|
Model 1 was also verified in another kinetic experiment in which the
tail current after the agonist application, in the continuous presence
of the blocker, was compared with the control tail current (Fig. 8
B). In the modeling experiment (right trace) as well as in
the experiment with TPentA (left trace) the control and blocked tail
currents intersected. Such a delay in the current relaxation induced by
the presence of the blocker in the washout solution is a characteristic
feature of the blocker that prevents the agonist dissociation from the
blocked channel (Sobolevsky et al., 1999b
).
Finally, the ability of Model 1 to reproduce the dependence of degree
of the stationary current inhibition, 1
IB/IC,
on the agonist concentration was checked (Fig. 8 C). In the
experiment with TPentA, the agonist dependence was increasing (solid
circles in Fig. 8 C, the mean 1
IB/IC
values were significantly different, p < 10
6, n = 6). Model 1 predicts the following equation for the degree of the
stationary current inhibition (deduced by the previously described
method; Sobolevsky, 1999
):
|
(2) |
IB/IC
increases with the agonist concentration (the solid line in Fig. 8
C); this prediction of Model 1 matches well the experimental
points. Increasing agonist dependence, just as an intersection of tail
currents in the previously described experiment, is a criterion
distinguishing the blocker that prevents the agonist dissociation from
the blocked channel (Sobolevsky et al., 1999bThus, at the values of parameters found, all quantitative and qualitative predictions of Model 1 showed a good correspondence to the experimental data.
| |
DISCUSSION |
|---|
|
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|---|
Model 1 proved to be a reasonable description of the TPentA-induced blockade of open NMDA channels. An analysis of characteristics of hooked tail currents generated after termination of ASP and TPentA coapplication allowed specifying all the unknown parameters of this description.
The first parameter, the time constant of the solution exchange,
wash, was found by analyzing the
dependence of the hooked tail current duration,
tHook, on the degree of the stationary current inhibition (Fig. 4). This method of
wash estimation is new and does not
require preparation of additional experimental solutions, as is the
case with sodium concentration jumps (Vyklicky et al., 1990
; Chen and
Lipton, 1997
). The tHook method is
especially convenient for application systems wherein the solution
exchange varies with time (or from experiment to experiment, or from
cell to cell) because it allows one to estimate
wash directly during the current
recordings. Under the conditions of TPentA experiments (P0 = 0.04, koff = 14 s
1), this method is
applicable if the value of
wash is
higher than 10 ms (Fig. 3 A). The sensitivity of this method
does not depend on P0 but increases
with an increase in koff. Thus, at
koff = 1000 s
1, this method allows
one to estimate the value of
wash
if it is higher than 1 ms (not shown).
The second parameter is the maximum NMDA channel open probability,
P0, which under physiological
conditions (saturating concentrations of the agonist) reflects the
fraction of the total number of NMDA channels that open in response to
a short pulse of the agonist. The value of
P0 was found analyzing the dependence
of the normalized electric charge carried during the hooked tail
current, Q, on the blocker concentration (Fig. 5) and proved
to be quite low (0.04). The previous studies reported the maximum NMDA
channel open probability in a wide range of 0.025 to 0.52 (Jahr, 1992
; Hessler et al., 1993
; Benveniste and Mayer, 1995
; Rosenmund et al.,
1995
; Dzubay and Jahr, 1996
; Chen et al., 1999
). A considerable difference was observed between the values of
P0 estimated from the whole-cell
current recordings (0.025-0.28) and from outside-out single-channel
data (0.24-0.52; Benveniste and Mayer, 1995
; Rosenmund et al., 1995
).
This difference can be explained by the much more rapid loss of
cytoplasmic constituents that control channel gating during patch
dialysis (Rosenmund et al., 1995
). The
P0 value estimated in the present
study (0.04) is identical to that measured by Rosenmund et al. (1995)
in the whole-cell experiments.
Earlier to find P0, in some studies
the trapping blocker MK-801 was used (Huetter and Bean, 1988
; Jahr,
1992
; Hessler et al., 1993
; Rosenmund et al., 1995
; Dzubay and Jahr,
1996
; Chen et al., 1999
). However, the value of
P0 obtained by this method can be underestimated because of the possible overestimation of the MK-801 binding rate constant, kon (Dilmore
and Johnson, 1998
). In other studies, 9-aminoacridine, which is
believed to act as foot-in-the-door blocker, was used (Benveniste and
Mayer, 1995
; Chen et al., 1999
). However, this method afforded only
inaccurate value of P0 for the
following reasons (Benveniste and Mayer, 1995
): (i) non-instantaneous recovery from block by 9-aminoacridine, (ii) space-clamp limitations, (iii) run-down for tail currents, and (iv) desensitization during the
application of 9-aminoacridine. The new method for estimation of
the maximum NMDA channel open probability used in the present study is
applicable in the P0 range of 0.02 to
0.5 (Fig. 3 E) and is devoid of the shortcomings mentioned above.
The kinetic constants of TPentA binding and unbinding,
kon and
koff, respectively, were found by
analyzing the dependencies of the hooked tail current amplitude (Fig.
6) and the degree of the stationary current inhibition on the
blocker concentration. The value of the unbinding rate constant,
koff = 14 s
1, attributes TPentA to
rather fast blockers. The method for
koff estimation used in the present
study is applicable for koff > 1 s
1 (otherwise, the hook
current does not appear, Fig. 2 C; see also Sobolevsky et
al., 1999b
) up to koff = 1000 s
1 (Fig. 3 I).
The major limitation of the methods to estimate
wash,
P0,
kon, and
koff proposed in the present study is
the so-called model dependence. Thus, these methods are applicable only
to blockers that interact with NMDA channels according to the
foot-in-the-door mechanism (Model 1). Even if the latter is true, the
values of estimated parameters depend on fixed values of the rate
constants in Model 1. Correspondingly, any inaccuracy in the definition of the rate constants l1,
l2,
,
, or
will result in an
inaccuracy of the
wash,
P0,
kon, and
koff values.
The ratio of unbinding and binding rate constants gives the apparent
value of Kd = koff/kon = 0.009 mM, which is 60 times lower than IC50 = 0.54 ± 0.05 mM. This difference between the microscopic
dissociation constant (Kd) and the
characteristics of the apparent affinity (IC50)
is due to the prevention of TPentA to the channel closure (for a
trapping blocker, a blocker which does not affect the channel closure,
desensitization, and agonist dissociation,
Kd = IC50). The
value of the
IC50/Kd ratio
predicted by Model 1 is equal to the denominator 1 + (
/
) [1 + (
/
) + (2l2/l1/[A]) + (l2/l1/[A])2]
in Eq. 2. From this mathematical expression, the
IC50/Kd ratio decreases with the agonist concentration and the maximum open probability (P0), but increases with
channel desensitization. Thus, for a blocker whose action interferes
with that of the NMDA channel gating machinery, the apparent blocking
strength (IC50) differs considerably from its
binding efficacy (Kd) and,
correspondingly, the former cannot be used as an estimation of the latter.
According to Model 1, TPentA is a typical foot-in-the-door blocker, that is, when bound to the open NMDA channel it prohibits the closure of the activation gate. Therefore, the constriction of the NMDA channel pore formed by the activation gate in the closed state is most probably located in the region of the TPentA binding site. If so, the diameter of the extracellular vestibule of the NMDA channel pore in the region of the activation gate localization should not be smaller than the size of the TPentA molecule (~11 Å).
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ACKNOWLEDGMENTS |
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I thank Prof. B. I. Khodorov, Dr. L. P. Wollmuth, and Dr. S. G. Koshelev for comments on the manuscript and R. L. Birnova and M. V. Yelshansky for help in preparation of the manuscript. This work has been supported by the Russian Foundation for Basic Research (no. 99-04-48770) and the International Soros Science Education Program (no. a99-1650).
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FOOTNOTES |
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Received for publication 17 November 1999 and in final form 16 May 2000.
Address reprint requests to Alexander I. Sobolevsky, Department of Neurobiology and Behavior, State University of New York at Stony Brook, Stony Brook, NY 11794-5230. Tel.: 631-632-4406; Fax: 631-632-6661; E-mail: asobolevsky{at}notes2.cc.sunysb.edu.
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REFERENCES |
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