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Vol. 54, Issue 6, 1132-1139, December 1998
2 and
4 Subunits Confer Large
Differences in Agonist Binding Affinity
Department of Molecular and Cellular Pharmacology, University of Miami School of Medicine, Miami, Florida 33101
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Summary |
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We used equilibrium binding analysis to characterize the agonist
binding properties of six different rat neuronal nicotinic receptor
subunit combinations expressed in Xenopus laevis
oocytes. The
4
2 receptor bound [3H]cytisine with a
Kdapp of 0.74 ± 0.14 nM. The rank order of
Kiapp values of
additional nicotinic ligands, determined in competition assays, was
cytisine < nicotine < acetylcholine < carbachol < curare. These pharmacological properties of
4
2 expressed in
oocytes are comparable to published values for the high affinity
cytisine binding site in rat brain (
4
2), demonstrating that rat
neuronal nicotinic receptors expressed in X.
laevis oocytes display appropriate pharmacological
properties. Use of [3H]epibatidine allowed detailed
characterization of multiple neuronal nicotinic receptor subunit
combinations. Kdapp
values for [3H]epibatidine binding were 10 pM for
2
2, 87 pM for
2
4,
14 pM for
3
2, 300 pM for
3
4, 30 pM for
4
2, and 85 pM for
4
4. Affinities for six additional
agonists (acetylcholine, anabasine, cytisine,
1,1-dimethyl-4-phenylpiperazinium, lobeline, and nicotine) were
determined in competition assays. The
2-containing receptors had
consistently higher affinities for these agonists than did
4-containing receptors. Particularly striking examples are the affinities displayed by
2
2 and
2
4, which differ in
1,1-dimethyl-4-phenylpiperazinium, nicotine, lobeline, and
acetylcholine affinity by 120-, 86-, 85-, and 61-fold, respectively.
Although smaller differences in affinity could be ascribed to different
subunits, the major factor in determining agonist affinity was the
nature of the
subunit.
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Introduction |
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Neuronal
nAChRs form as pentameric assemblies of subunits, similar to muscle
nAChRs (Anand et al., 1991
; Cooper et al., 1991
). There are 11 known neuronal nAChR subunits,
2-9 and
2-4
(Sargent, 1993
; Elgoyhen et al., 1994
). Many different
combinations of these subunits can assemble to form functional nAChRs
when expressed in Xenopus laevis oocytes or mammalian cell
lines, with each functional subunit combination displaying a distinct
array of biophysical and pharmacological properties (Role, 1992
;
Patrick et al., 1993
; Sargent, 1993
). Thus, differential
subunit assembly is likely to underlie biophysical and pharmacological
observations of multiple subtypes of neuronal nAChRs in the nervous system.
Nicotinic ligands are potentially useful as anxiolytics and analgesics
and are potentially useful in the treatment of neurological disorders
such as schizophrenia, Parkinson's disease, and Alzheimer's disease
(Brioni et al., 1997
). Neuronal nAChRs also are the sites at
which nicotine exerts its psychoactive and addictive effects (Dani and
Heinemann, 1996
). Thus, pharmacological intervention at neuronal nAChRs
holds promise for treating the effects of diseases of the central
nervous system and for understanding and treating addictive processes.
Critical to the realization of this potential is the development of
subtype-selective nAChR ligands. Pursuit of this goal requires an
understanding of the molecular structure of the ligand binding sites of
neuronal nAChRs. In particular, the features of nicotinic binding sites
that are responsible for nAChR subtype selectivity must be identified.
Affinity labeling and mutagenesis techniques have been used to identify
a series of residues on the
,
/
, and
subunits that
participate in the structure of the neurotransmitter binding sites of
muscle-type nAChRs (Karlin and Akabas, 1995
). The identification of
critical residues on the
/
and
subunits, together with the
repeated demonstration that the two binding sites on muscle nAChRs are
pharmacologically distinct, has led to the concept that the
neurotransmitter binding sites are located at the interface between
and non-
(
/
and
) subunits (Blount and Merlie, 1989
; Galzi
and Changeux, 1995
). The neurotransmitter binding sites on neuronal
nAChRs seem to be formed in a similar manner, because both
and
subunits make contributions to the pharmacological properties of these
receptors (Luetje and Patrick, 1991
). Many of the residues identified
as part of the binding sites of muscle type nAChRs are highly conserved
among neuronal nAChR subunits. Thus, although these residues are common
features of nicotinic binding sites, they cannot account for the
pharmacological differences that have been observed among neuronal
nAChR subtypes. Amino acid residues that differ among subunits must be
responsible for this pharmacological diversity.
By constructing chimeras and mutants of pharmacologically distinct
subunits and analyzing them in an electrophysiological assay, we have
identified residues on both
and
subunits that determine
sensitivity to the competitive antagonist toxins
-conotoxin MII and
neuronal bungarotoxin (Harvey and Luetje, 1996
; Harvey et
al., 1997
; Luetje et al., 1998
). These residues are
most likely involved in binding of toxin. However, when the agonist
sensitivity of neuronal nAChRs is determined using electrophysiological
techniques, differences in agonist sensitivity may be due to
differences in affinity, efficacy, desensitization, application flow
rate, or a complex combination of these processes. As an alternative,
we decided to use equilibrium binding to examine the subunit dependence of agonist affinity. Although neuronal nAChRs undergo transitions among
multiple states, with each state having an affinity for agonist, the
desensitized state has a much higher agonist affinity and, at
equilibrium, predominates. Thus, it is primarily the affinity of the
desensitized state that is being measured in an equilibrium assay of
neuronal nAChRs (see Discussion).
We used [3H]epibatidine in most of our analyses
because epibatidine has been shown to bind with high affinity to
multiple nAChR subtypes in the central and peripheral nervous systems
(Marks et al., 1986
; Houghtling et al., 1995
;
Flores et al., 1996
). We adapted equilibrium binding assays
originally developed for use with brain homogenates (Pabreza et
al., 1991
; Houghtling et al., 1994
; Marks et
al., 1998
) for analysis of cloned neuronal nAChRs expressed in
X. laevis oocytes. We demonstrate that neuronal
nAChRs expressed in X. laevis oocytes display
appropriate pharmacological properties when compared with nAChRs
expressed in the brain. We then use saturation and competition assays
to determine the affinities of six different neuronal nAChR subunit
combinations for ACh, anabasine, cytisine, DMPP, epibatidine, lobeline,
and nicotine. We find large differences in agonist affinities among
different receptor subunit combinations to be due primarily to the
identity of the
subunit present in the receptor.
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Experimental Procedures |
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Materials. X. laevis frogs were purchased from Nasco (Ft. Atkinson, WI). The care and use of X. laevis frogs in this study were approved by the University of Miami Animal Research Committee and meet the guidelines of the National Institutes of Health. RNA transcription kits were from Ambion (Austin, TX). [3H]Cytisine and [3H]epibatidine were from New England Nuclear (Boston, MA). Acetylcholine, anabasine, carbachol, curare, cytisine, DMPP, lobeline, mecamylamine, nicotine, and 3-aminobenzoic acid ethyl ester were from Sigma Chemical (St. Louis, MO). Collagenase B was from Boehringer-Mannheim (Indianapolis, IN).
Expression of neuronal nAChRs in X.
laevis oocytes.
cDNA clones encoding
2,
3,
4,
2, and
4 subunits of rat neuronal nicotinic receptors were
engineered into the pGEMHE high expression vector (Liman et
al., 1992
). In preliminary experiments, we found that injection of
cRNA transcribed from pGEMHE constructs resulted in receptor expression
levels that were 10-100-fold higher than expression levels achieved by
injection of cRNA transcribed from pSP64/65 constructs (data not
shown). m7G(5')ppp(5')G capped cRNA was
synthesized in vitro from linearized template cDNA using an
Ambion mMessage mMachine kit. Mature X. laevis
frogs were anesthetized by submersion in 0.1% 3-aminobenzoic acid
ethyl ester, and oocytes were surgically removed. Follicle cells were
removed by treatment with collagenase B for 2 hr at room temperature.
Oocytes were injected with 20 ng of cRNA encoding various subunit
combinations in 23 nl of water and incubated at 19° in modified
Barth's saline (88 mM NaCl, 1 mM KCl, 2.4 mM NaHCO3, 0.3 mM
CaNO3, 0.41 mM
CaCl2, 0.82 mM
MgSO4, 100 µg/ml gentamicin, 15 mM
HEPES, pH 7.6) for 2-7 days.
Preparation of oocyte homogenates.
Membrane preparation from
X. laevis oocytes can be problematic due to the
abundance of yolk and pigment granules. We found that a radioligand
binding assay could be successfully performed using a crude oocyte
homogenate after the removal of lipids and pigment granules. From 0.25 to 15 oocytes (depending on expression levels) were homogenized per
milliliter of buffer containing freshly added 0.1 mM
phenylmethylsulfonyl fluoride (see below), using a Brinkmann
Instruments (Westbury, NY) model PT 10/35 homogenizer. Homogenates were
centrifuged at 4° at 2000 × g for 10 min. The supernatant was
removed for use in experiments, avoiding both the surface lipid layer
and the pellet. Approximately 30 µg of protein/oocyte was recovered
in the crude homogenate. Receptor expression levels ranged from 16 to
968 fmol/mg of protein, averaging 480 fmol/mg of protein (16 fmol/oocyte). We also examined a more purified membrane
preparation. A crude homogenate of
4
2-expressing oocytes,
prepared as described above, was centrifuged at 4° at 45,000 × g for 20 min. The supernatant was discarded, and the pellet
was resuspended in buffer (see below). We found no difference in
affinity for cytisine between the crude and more purified membrane preparations (data not shown). However, approximately half the specific
binding was lost in the more purified preparation; therefore, the crude
membrane preparation was better suited for our needs.
[3H]Cytisine binding.
The oocyte homogenate
was prepared in 50 mM Tris, 120 mM NaCl, 5 mM KCl, 1 mM MgCl2, and
2.5 mM CaCl2, pH 7.0, using a
modification of the assay of Pabreza et al. (1991)
. Assay
volume was 0.5 ml. Assays were initiated by the addition of membrane
homogenate and were incubated on ice for 90 min with gentle shaking.
For saturation analysis, the concentrations of
[3H]cytisine ranged from 30 pM to
7.0 nM. Nonspecific binding was determined using 1 µM cytisine. For competition studies, 1.5 nM [3H]cytisine was used. For reactions involving
ACh, the homogenate was preincubated for 30 min with 200 nM
diisopropylfluorophosphate, a cholinesterase inhibitor, before the
addition of ligands. The reactions were stopped by filtration onto
glass-fiber filters (934-AH; Whatman, Clifton, NJ), and the filters
were counted with a Beckman Instruments (Fullerton, CA) LS 1801 scintillation counter. Nonspecific binding was 10-20% of the total
binding at [3H]cytisine concentrations near the
Kdapp and did
not exceed 41% at the highest radioligand concentrations.
[3H]Epibatidine binding.
The oocyte homogenate
was prepared in buffer containing 140 mM NaCl, 1.5 mM KCl, 2 mM CaCl2, 1 mM MgSO4, and 25 mM
HEPES, pH 7.5. Our protocol is a modification of the methods of
Houghtling et al. (1994)
and Marks et al. (1998)
.
To avoid problems with ligand depletion during saturation experiments,
the reaction volumes varied at different epibatidine concentrations.
Final reaction volumes of 0.5 ml were used for epibatidine
concentrations between 2 nM and 5 nM, 1-ml
volumes were used for concentrations between 500 pM and 1 nM, 2-ml volumes were used for epibatidine concentrations between 15 pM and 250 pM, and 5-ml volumes were
used for concentrations below 15 pM epibatidine. In
competition studies, 100 pM
[3H]epibatidine was used for all
2-containing receptors, whereas 500 pM
[3H]epibatidine was used for all
4-containing receptors. Reaction volumes of 0.5 ml were sufficient
to avoid ligand depletion in the competition studies for the
concentrations of [3H]epibatidine and
competitors used. Both competition and saturation experiments contained
25 fmol of receptor/reaction tube. Reactions involving ACh were
treated as described above. Reactions were initiated by the addition of
oocyte homogenate and were incubated at 25° in a shaking water bath.
Calculations. Due to the complexities of agonist interactions with receptors (reflected in Hill coefficients that deviate from 1.0; see Discussion), Kd and Ki values should be considered empirical descriptions of the data and not true equilibrium dissociation constants. For this reason, we refer to these values as Kdapp (apparent Kd) and Kiapp (apparent Ki).
Data from saturation experiments were analyzed using the equation B = (Bmax * Ln)/(Kdappn + Ln), where B is the binding at free ligand concentration, L; Bmax is the maximal specific binding; Kdapp is the apparent equilibrium dissociation constant; and n is the Hill coefficient. Values for Bmax, Kdapp, and n were calculated by nonlinear regression with Prism 2.0 (GraphPAD, San Diego, CA). Scatchard plots were generated using the Rosenthal method for linearizing binding data outlined in the Prism 2.0 manual. IC50 values were derived using the equation B = Bo/[1 + (I/IC50)n], where B is ligand bound at competitor concentration, I; Bo is binding in the absence of competitor; IC50 is the concentration of ligand that reduces the specific binding by one half; and n is the Hill coefficient. Kiapp values were calculated using the equation Kiapp = IC50/[1 + ([L]/Kdapp)]. Because of the variation in receptor expression level from day to day after injection of the oocytes and among oocyte batches, all results were normalized as the percentage of maximal specific binding.| |
Results |
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Rat
4
2 nAChRs expressed in X.
laevis oocytes display pharmacological properties
similar to those of the high affinity cytisine binding site in rat
brain.
Our intention to characterize the agonist binding
affinities of various neuronal nAChR subunit combinations on expression in X. laevis oocytes raises a critical question.
Are the pharmacological properties of neuronal nAChRs expressed in
X. laevis oocytes an accurate reflection of the
pharmacological properties of neuronal nAChRs expressed by neurons? We
previously addressed this issue for muscle-type nAChR and found a close
correspondence between the pharmacological properties of the mouse
muscle
1
1
nAChRs expressed in oocytes (Luetje and Patrick,
1991
) and those of the nAChR expressed by the mouse muscle cell line,
BC3H-1 (Sine and Steinbach, 1986
, 1987
). An opportunity to compare
directly the properties of a neuronal nAChR (
4
2) expressed in
both oocytes and brain is presented by the detailed pharmacological
analysis of the high affinity cytisine binding site in rat brain
(Pabreza et al., 1991
) and the subsequent identification of
this site as
4
2 (Flores et al., 1992
). To make this
comparison, we expressed rat
4
2 neuronal nAChRs in X.
laevis oocytes and performed saturation analysis using a
modification of the [3H]cytisine binding assay
of Pabreza et al. (1991)
(see Experimental Procedures). The
4
2 receptor bound [3H]cytisine with a
Kdapp value of
0.74 ± 0.14 nM (Fig.
1). This is very similar to the value of
0.9 ± 0.1 nM obtained by Pabreza et
al. (1991)
for
4
2 in rat brain. To extend our
characterization of the rat
4
2 nAChR expressed in oocytes, we
performed competition studies with cytisine and four additional ligands
that compete for [3H]cytisine binding (Fig.
2). The ligands tested included three agonists (nicotine, ACh, and carbachol) and one competitive antagonist (curare). The rank order of IC50 values obtained
(cytisine < nicotine < ACh < carbachol < curare) was identical to the rank order reported by Pabreza et
al. (1991)
. In Table 1, we compare
Kdapp and
Kiapp values
calculated from data presented in Figs. 1 and 2 (as described in
Experimental Procedures), with values calculated from data presented in
Pabreza et al. (1991)
. Only minor differences were observed
between the Kiapp values obtained for
4
2
expressed in oocytes and
4
2 expressed in brain. For cytisine,
nicotine, and carbachol, the differences were ~2-fold. The curare and
ACh values differed by ~4- and ~6-fold, respectively.
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4
2 nAChRs expressed in
X. laevis oocytes display pharmacological
properties similar to what
4
2 nAChRs display in neurons. It seems
likely that other neuronal nAChRs expressed in oocytes also will
display appropriate pharmacological properties.
[3H]Epibatidine allows radioligand binding analysis
of six different neuronal nAChR subunit combinations.
We used
[3H]epibatidine to examine the pharmacology of
additional neuronal nAChR subunit combinations. Epibatidine has been reported to have exceptionally high affinity for multiple neuronal nAChRs in the nervous system (Qian et al., 1993
; Badio and
Daly, 1994
; Houghtling et al., 1995
; Flores et
al., 1996
; Khan et al., 1997
). We adapted the
[3H]epibatidine binding assay originally
developed for brain membrane preparations (Houghtling et
al., 1995
; Marks et al., 1998
) for use with oocyte
homogenates. This allowed determination of the epibatidine binding
affinity of the six possible receptors formed by
/
combinations
of
2,
3,
4,
2, and
4. Two characteristics of epibatidine
binding complicate the experiments. First, the exceptionally high
affinity of epibatidine for some receptors requires that precautions be
taken to avoid ligand depletion in the assay (see Experimental
Procedures). Second, epibatidine binding displays relatively slow
kinetics compared with other ligands such as cytisine and nicotine
(Houghtling et al., 1995
). Thus, longer incubation periods
are needed to reach equilibrium. To decrease the time to equilibrium,
we conducted all experiments at 25°. Incubation times (3.5-4 hr)
were chosen to exceed five times the half-time to equilibrium for each
receptor (see Experimental Procedures).
2
2 to 303 pM
for
3
4. The
2-containing receptors had consistently higher
affinities for epibatidine than did
4-containing receptors. For
2,
3, and
4, the difference in affinity between the
2 and
4 context was 8-, 22-, and 3-fold, respectively. Differences were
also observed for the binding affinities among the
subunits, but
these differences were not consistent between the different
subunit
contexts. For example, the
3
2 receptor had a higher affinity than
the
4
2 receptor (14 versus 30 pM), whereas
the
4
4 receptor had a higher affinity than the
3
4 receptor
(85 versus 303 pM).
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The
subunits confer large differences in agonist binding
affinity.
We conducted a series of competition binding experiments
for each receptor subtype using the agonists ACh, anabasine, cytisine, DMPP, lobeline, and nicotine. The results of the competition analyses are shown in Fig. 4, and the calculated
Kiapp values
derived from these results are shown in Table
2. We found that the trend in Kiapp values
for these agonists was similar to what we observed in saturation
analysis with epibatidine; that is, for each
subunit, the
2-containing receptors had consistently higher affinities for all
agonists than did
4-containing receptors. In fact, only in the case
of the cytisine affinity for
3
2 was the affinity of any agonist
for any
2-containing receptor lower than the affinity for any
4-containing receptor (compare
3
2 with
2
4 and
4
4).
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2 or
4 subunit coexpressed with the same
subunit.
Particularly striking are the differences in affinity of
2
2 and
2
4 for nicotine (86-fold), lobeline (85-fold), and DMPP
(120-fold). Interestingly, the magnitude of the difference observed
between
2- and
4-containing receptors was dependent on the
subunit. Differences were generally largest for
2-containing receptors and smallest for
4-containing receptors. For example, the
2
2 and
2
4 receptors differ in ACh affinity by 61-fold, whereas
3
2 and
3
4 differ by 19-fold, and
4
2 and
4
4 differ by only 2-fold. Affinity differences due to the
identity of the
subunit also were observed, although these
differences were smaller than those ascribed to
subunits. The
largest differences were seen with cytisine affinity. The
3
2
receptor had a 37-fold lower affinity for cytisine than
2
2 and a
14-fold lower affinity for cytisine than
4
2. The
3
4
receptor had a 47-fold lower affinity for cytisine than
4
4 and an
11-fold lower affinity for cytisine than
2
4. The
2
2
receptor had a higher affinity than the
3
2 receptor for nicotine
(20-fold) and ACh (16-fold). The affinity of
2
2 for ACh was also
19-fold higher than that of
4
2. All other differences in agonist
affinity due to
subunits were <10-fold. Also dependent on subunit
combination was the range of affinities for the agonists (excluding
epibatidine). At the extremes were
3
2, for which the six agonist
affinities were within 4-fold of each other, and
4
4, for which
the affinities were spread across a 833-fold range (Fig. 4, Table 2).
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Discussion |
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Our characterization of six different neuronal nicotinic
subunit combinations (
2
2,
2
4,
3
2,
3
4,
4
2,
4
4) using radioligand binding analysis demonstrates that binding
affinities for a variety of agonists are dependent on both the
and
subunit present in the receptor. The largest differences occurred
as a consequence of changing the
subunit, but differences also were
seen when the
subunit was changed. These results emphasize the
potential for the formation of multiple, pharmacologically distinct
nAChR subtypes in the nervous system. In fact, recent work using
epibatidine, cytisine, and nicotine as radioligands and competitors has
demonstrated the presence of multiple nAChR subtypes (Flores et
al., 1996
; Marks et al., 1998
; Zoli et al.,
1998
).
Expression of mammalian nAChRs in the X. laevis
oocytes raises concern as to whether the pharmacological properties
that we identify and characterize are an accurate reflection of the
properties that these receptors would display in their native context.
In earlier work, the agonist pharmacology of mouse muscle
1
1
expressed in oocytes and assayed electrophysiologically
(Luetje and Patrick, 1991
) was found to be quite similar to the agonist pharmacology of the same receptor natively expressed by BC3H-1 cells
(Sine and Steinbach, 1986
, 1987
). We now demonstrate that rat neuronal
nicotinic
4
2 receptors expressed in oocytes display agonist and
antagonist binding affinities similar to the native
4
2 receptor
in rat brain (Table 1). We also find a close correspondence between the
agonist binding affinities of the rat
3
4 receptor expressed in
oocytes (Table 2) and the same receptor expressed in human embryonic
kidney 293 cells (Xiao et al., 1998
). More importantly, the
[3H]epibatidine affinity of
3
4 expressed
in oocytes is quite similar to the affinity of
3
4 expressed in
rat trigeminal ganglion (Flores et al., 1996
). We conclude
that the pharmacological properties of mammalian neuronal nAChRs
expressed in X. laevis oocytes are an accurate
reflection of the pharmacological properties of nAChRs natively
expressed in the nervous system.
In our assay conditions, both surface and intracellular nAChRs may be
detected. Although surface receptors are likely to consist solely of
fully assembled pentamers, the intracellular receptor population
consists of fully assembled pentamers, as well as various assembly
intermediates. Intracellular pentamers might be expected to have the
same properties as surface pentamers. However, the pharmacological
properties of assembly intermediates could differ from those of fully
assembled pentamers and might affect our results. Although little is
known about the assembly of neuronal nAChRs, the assembly of muscle
nAChRs has been more extensively studied (Blount and Merlie, 1989
). If
neuronal nAChR assembly is analogous to muscle nAChR assembly, then we
could expect pairs of
and
subunits to form functional binding
sites before pentamer assembly. Pairs of muscle nAChR subunits (
,

, 
) form binding sites capable of binding agonists, but
they seem to be unable to undergo transition to the high affinity
desensitized state (Prince and Sine, 1996
). The agonist affinity of
these binding site pairs seems to resemble that of closed activatable
receptors (Prince and Sine, 1998
). If this is also true for neuronal
nAChR 
pairs, then given the ~3 orders of magnitude difference
in affinity between the closed activatable and desensitized states (see
below), binding to pairs of subunits is unlikely to be a factor in our
assays. This is consistent with our observation that the Hill
coefficient derived from fitting
[3H]epibatidine saturation binding data is near
1.0 for each receptor tested (Fig. 3 and Table 2).
Neuronal nAChRs, like muscle nAChRs, undergo transitions between closed
activatable, open, and desensitized states. Each of these states can
have a different affinity for ligand. The desensitized state, in
particular, has an exceptionally high affinity for agonists. However,
the binding affinity that we measure under equilibrium conditions can
not be considered a pure measure of the affinity of any single state.
This is because the receptors are in equilibrium among these various
states and the apparent binding affinity we measure depends on the
affinities of the individual states, as well as the equilibrium
constants for transitions among the states. The
EC50 value for activation in a functional assay
can be taken as a crude estimate of the agonist affinity of the closed
activatable state. Rat neuronal nAChRs expressed in oocytes display
EC50 values for ACh activation ranging from 55 to
210 µM (Harvey et al., 1996
), suggesting that
the closed activatable state of each rat neuronal nAChR has an affinity
for ACh 2-4 orders of magnitude lower than the affinity of the
desensitized state. It is also interesting to note that
EC50 values for ACh activation of the various
neuronal nAChR subunit combinations differ by <4-fold, whereas the
equilibrium ACh binding affinities of these receptors differ by
>300-fold (Table 2). The rank order of ACh affinities of the closed
activatable states (
4
4 >
3
2 >
2
2 >
2
4 >
4
2 >
3
4) and desensitized states
(
2
2 >
3
2 >
4
2 >
4
4 >
2
4 >
3
4) also are markedly different. The affinity of
epibatidine for the closed activatable state (as crudely estimated from
the EC50 value for activation) and the
desensitized state (as estimated from the
Kdapp value for
equilibrium binding) of several neuronal nAChR subunit combinations also has been observed to differ by ~3 orders of magnitude (Gerzanich et al., 1995
; Gopalakrishnan et al., 1996
). Thus,
in our assay, the concentration of agonist generally is too low for a
significant amount of the binding to be to the closed activatable
state. This fact, combined with the transience of the open state,
suggests that the binding affinity we derive from our equilibrium
binding experiments is dominated by the affinity of the desensitized
receptor. Consistent with this conclusion is our observation of Hill
coefficients at or near 1.0 for binding of epibatidine and most
agonists (suggesting binding to a single class of sites). It should be
noted, though, that in several cases (e.g., ACh binding to
2-containing receptors and lobeline binding to
3- and
4-containing receptors), the Hill coefficients are substantially
<1.0, suggesting negatively cooperative interactions between binding
sites or heterogeneity among binding sites. However, this is unlikely
to explain our observations of differences in affinity among receptors
because there is no correlation between deviation of the Hill
coefficient from 1.0 and the observed affinity.
Different rat neuronal nAChR subunit combinations expressed in oocytes
have been shown to differ in their susceptibility to desensitization
(Vibat et al., 1995
; Fenster et al., 1997
). Could differences in desensitization rates rather than differences in affinities underlie our results? Arguing against this possibility is
the observation that neither the rank order of decay time constants for
nicotine-induced desensitization of
2
2,
3
2, and
4
2
nor the rank order of extent of desensitization after repeated exposure to nicotine (Vibat et al., 1995
) correlates with the rank
order of nicotine affinities we observe for these subunit combinations. In addition, Fenster et al. (1997)
found that the
desensitization rate of various subunit combinations is not a good
predictor of the affinity of the desensitized state.
Our use of a [3H]epibatidine binding assay to
characterize nAChRs expressed in X. laevis
oocytes has allowed detailed analysis of six different neuronal nAChR
subunit combinations. The results of these analyses reveal that the
large differences in agonist affinity among different neuronal nAChR
subunit combinations are primarily determined by the nature of the
subunit. The pharmacological characteristics defined in this study will
be useful in classifying different neuronal nAChR subtypes in the
nervous system. The radioligand binding assay developed here also will
be useful, in conjunction with chimeric and mutant receptor subunit
constructs, to identify structural features of neuronal nAChRs
responsible for differences in agonist affinity.
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Acknowledgments |
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We thank Floyd Maddox for excellent technical assistance and Dr. Sherry Purkerson for critical reading of the manuscript.
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Footnotes |
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Received July 10, 1998; Accepted September 14, 1998
This work was supported by a grant to C.W.L. from the National Institute on Drug Abuse (DA08102). M.J.P. was supported in part by T32-HL07188. Portions of this work have been presented in preliminary form [Parker MJ and Luetje CW (1996) Soc Neurosci Abstr 22:1271; Parker MJ and Luetje CW (1997) Soc Neurosci Abstr 23:385].
Send reprint requests to: Dr. Charles W. Luetje, Department of Molecular and Cellular Pharmacology (R-189), University of Miami School of Medicine, P.O. Box 016189, Miami, FL 33101. E-mail: cluetje{at}chroma.med.miami.edu
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Abbreviations |
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nAChR, nicotinic acetylcholine receptor; ACh, acetylcholine; HEPES, 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid; DMPP, 1,1-dimethyl-4-phenylpiperizinium.
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References |
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