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Vol. 60, Issue 4, 816-827, October 2001
-Opioid Agonist and Inverse-Agonist Binding Capacity
Département de Biochimie (G.P., M.A., M.B.), Pharmacologie (A.D.L.), and Institut des Recherches Cliniques de Montréal (P.S.), Université de Montréal, Montréal, Canada
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Abstract |
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This study assessed the effects of short-term treatment (30-min)
with inverse agonists on receptor protein levels and on the ability of
agonists, inverse agonists, and neutral antagonists to bind to the
human
-opioid receptor (h
OR). Incubation of human embryonic
kidney 293s cells stably expressing h
OR with the inverse agonist
ICI174864 (1 µM) induced reciprocal changes in agonist and
inverse-agonist binding. The total number of binding sites recognized
by the agonists [3H]bremazocine and
[3H][D-Pen2,D-Pen5]-enkephalin
was reduced by 33 and 57%, respectively, whereas binding capacity for
the radiolabeled inverse-agonist
[3H]Tyr-TicY[CH2NH]Cha-Phe-OH
increased by 44%. In contrast, total receptor protein and sites
labeled by neutral antagonists [3H]naltrindole and
[3H]Tyr-D-Tic-Phe-Phe-OH remained unchanged.
Pertussis toxin (PTX) and 5-guanylylimidodiphosphate (GppNHp) mimicked
the outcome of ICI174864 pretreatment in promoting the loss of agonist
binding sites. The lack of an additive effect on
[3H]bremazocine binding when these three agents were
combined indicates that inverse agonists may, in part, share the
mechanism by which GppNHp and PTX reduce agonist binding capacity.
Spontaneous recovery of maximal agonist binding capacity after
inverse-agonist treatment was slow, suggesting a decrease in the
isomerization rate between agonist- and inverse agonist-preferring
conformations. Overall, the data presented are consistent with the idea
that h
ORs exist in multiple states capable of discriminating among
ligands of different levels of efficacy and show that, after short-term
treatment with an inverse agonist, the receptor ability to adopt
conformations preferentially induced by agonist ligands is reduced.
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Introduction |
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Numerous
studies using heterologous expression systems have revealed that native
G protein-coupled receptors (GPCRs) (Costa and Herz, 1989
; Barker et
al., 1994
; Chidiac et al., 1994
; Samama et al., 1994
) as well as
naturally occurring or laboratory-constructed mutants (Lefkowitz et
al., 1993
; Scheer and Cotecchia, 1997
) may undergo agonist-independent
activation. These observations prompted an updating in receptor theory,
leading to the idea that receptors exist in different, interconverting
conformations differentially stabilized by specific ligands and
protein-protein interactions. For example, in the extended version of
the ternary complex model, the receptor is believed to isomerize
between active (R*) and inactive (R) states, and the G protein is
considered to stabilize the active conformation (R*G; Samama et al.,
1994
). According to this model, receptor subpopulations corresponding
to distinct activation states will coexist even under basal conditions
and will be differentially recognized by ligands with distinct
efficacies. Active conformations are preferentially bound and
stabilized by agonists, whereas the inactive ones are best recognized
by drugs currently known as inverse agonists (Milligan and Bond, 1997
; de Ligt et al., 2000
). Neutral antagonists for their part do not discriminate among subpopulations of receptor states.
It is well known that GPCRs adapt to agonist exposure by reducing
cellular responses induced by receptor stimulation (Lefkowitz, 1998
).
Rapid phosphorylation of the receptor by G protein-coupled receptor
kinases (Premont et al., 1995
) and second-messenger-dependent kinases
(Benovic et al., 1988
; Hausdorff et al., 1989
; Kobilka, 1992
) is
believed to be at the center of this response, characterized by
receptor-G protein uncoupling (Lohse et al., 1990
; Pals-Rylaarsdam et
al., 1995
; Diviani et al., 1996
), internalization, and eventually receptor-protein degradation (Sibley and Lefkowitz, 1985
, 1987
; Bouvier
et al., 1988
). In contrast, the adaptive response of GPCRs to treatment
with inverse agonists has been less well characterized. No information
on the effect of short-term treatment (minutes) is presently available
and, for long-term treatments (hours to days), both up-regulation
(Heinflink et al., 1995
; MacEwan and Milligan 1996a
,b
; Smit et al.,
1996
; Lee et al., 1997
; Samama et al., 1997
) and reduction in receptor
number (commonly referred to as atypical down-regulation; Barker et
al., 1994
; Labrecque et al., 1995
) have been reported. These changes
have been traditionally attributed to increase or decrease in receptor
protein levels as a consequence of either increased stabilization or
degradation, respectively. However, the notion that distinct receptor
conformations may be differently recognized by agonists and inverse
agonists may introduce an extra level of complexity in interpreting the capacity values in radioligand binding studies. For example, if the
isomerization capacity of a given receptor is modified and interferes
with the interconversion from a very low-affinity state to a
high-affinity state for the labeling drug, the effect would appear as a
decrease in Bmax value and could be
erroneously interpreted as a loss in the total amount of receptor protein.
In the present study, the effect of short-term inverse-agonist
pretreatment on membrane receptors was assessed by monitoring levels of
total receptor protein and the ability of the receptor to be recognized
by ligands with different efficacies. Given its rich pharmacology and
the availability of agonist, inverse agonist, and antagonist
radioligands, the human
-opioid receptor (h
OR) was chosen for
this purpose. Results revealed that after a 30-min treatment with the
inverse agonist ICI174864, the total amount of receptor protein and the
number of receptors recognized by neutral antagonists remained
unchanged, the number of binding sites labeled by an inverse agonist
was significantly increased, and agonist binding was reduced. The
process was shown to be reversible, although recovery of agonist
binding capacity was slow. These observations were interpreted as an
indication that exposure to an inverse agonist reduces the rate of
receptor isomerization, resulting in its decreased ability to adopt
conformations that may be readily recognized by agonist ligands.
Changes in binding capacity could not be accounted for by simulating
receptor-G protein uncoupling in the fully extended version of the
ternary complex model (cubic), but they were consistent with changes in
the relative frequency of non-readily interconverting sites of a
multistate model.
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Materials and Methods |
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Reagents.
Buffer chemicals, protease inhibitors, forskolin,
3-isobutyl-1-methylxanthine (IBMX), GppNHp, pertussis toxin, DPDPE,
naltrindole, and anti-FLAG M2 antibody were
purchased from Sigma (St. Louis, MO).
[3H]Adenosine,
[3H]naltrindole (26 Ci/mmol),
[3H]DPDPE (33 Ci/mmol), and
[3H]bremazocine (26.5 Ci/mmol) came from
PerkinElmer Life Sciences (Boston, MA), and
[3H]TICP (111.3 Ci/mmol) and
[3H]TIPP (50 Ci/mmol) were purchased from the
Institute of Isotopes (Budapest, Hungary). TIPP and TICP were
synthesized as described previously (Schiller et al., 1999a
). ICI174864
was obtained from Tocris Cookson (St. Louis, MO) and bremazocine from
Sigma/RBI. G418, Dulbecco's modified Eagle's medium (DMEM),
fetal bovine serum, Fungizone, glutamine, penicillin, and streptomycin
were purchased from Invitrogen (Carlsbad, CA). Nitrocellulose
was obtained from Schleicher & Schuell (Keene, NH), and
chemiluminescence was assessed using Renaissance Plus kit (PerkinElmer
Life Sciences).
Receptor Expression and Cell Culture.
Tagged with the FLAG
epitope at the carboxyl terminus, h
ORs were synthesized as described
previously (Petäjä-Repo et al., 2000
), were stably
expressed in HEK293s cells using a calcium phosphate precipitation
procedure, and were selected with G418 (500 µg/ml). Cells were grown
as monolayers in 75-cm2 Starstedt plastic flasks
containing DMEM supplemented with 10% fetal bovine serum, 1 mM
glutamine, 500 units/ml penicillin, and 500 units/ml streptomycin in an
atmosphere of 95% air/5% CO2 at 37°C. Before
treatment, attached cells (80% confluence) were washed with warm DMEM.
They were then incubated for 30 min in 10 ml of DMEM containing either
vehicle (1 µl of 50% dimethyl sulfoxide and 50%
H2O) or the indicated doses of ICI174864 or TICP.
They were then detached, diluted in cold PBS (4°C) to stop treatment, and washed three times in 50 volumes of PBS at room temperature. When
pertussis toxin was used, cells were incubated for 16 h with 50 ng/ml, followed by a similar washing procedure. All binding assays were
carried out on whole cells, except when the effect of GppNHp was
assessed, in which case a membrane preparation was used.
Membrane Preparation and SDS-Polyacrylamide Gel
Electrophoresis.
Membranes were prepared as described previously
(Rousseau et al., 1996
). Briefly, washed cells were resuspended in
buffer containing 5 mM Tris-HCl, pH 7.4, 2 mM EDTA, and protease
inhibitors (5 µg/ml leupeptin, 5 µg/ml soybean trypsin inhibitor,
and 10 µg/ml benzamidine) and then lysed on ice with a
Polytron homogenizer ultraturax (three 3-s bursts at maximal
speed; IKA, Wilmington, NC). Lysates were centrifuged at
500g for 5 min at 4°C, and the resulting supernatant was
centrifuged at 45,000g for 20 min at 4°C. The resulting
pellet was resuspended in binding buffer (75 mM Tris-HCl, pH 7.4, 12.5 mM MgCl2, 2 mM EDTA, and protease inhibitors as
indicated above) and immediately used in binding assays or for gel
electrophoresis. Protein content was determined using the Bio-Rad DC
Protein Assay Kit (Richmond, CA). For SDS-polyacrylamide gel
electrophoresis, membranes were denatured in sample buffer (62.5 mM
Tris-HCl, 5% SDS, 50 mM dithiothreitol, 10% glycerol, 0.05%
bromphenol blue) and separated on a 9% SDS-polyacrylamide gel,
according to the method used by Laemmli (1970)
. Proteins were
transferred onto nitrocellulose, and Western blot analysis was carried
out using M2 antiflag monoclonal antibodies,
horseradish peroxidase-coupled anti-mouse antibody, and
chemiluminescence. The amount of receptor in each lane was estimated by
densitometric analysis of the autoradiogram using National Institutes
of Health image software (http://rsb.info.nih.gov/nih-image/).
Radioligand Binding Assays.
For saturation experiments, 10 to 25 µg of protein was diluted in PBS (whole-cell binding) or
binding buffer (membranes) to a final volume of 300 µl and incubated
with variable concentrations of [3H]bremazocine (0.05-14
nM), [3H]DPDPE (0.01-8 nM),
[3H]naltrindole (0.05-5 nM), [3H]TIPP
(0.05-5 nM), and [3H]TICP (5-500 pM). Incubation was
allowed to proceed at room temperature until equilibrium was reached (1 h, except in the case of [3H]DPDPE, for which incubation
time was 2 h). Nonspecific binding was determined in the presence
of 10 µM naloxone; when indicated, GppNHp was used at a concentration
of 500 µM. Incubation was terminated by rapid filtration in a cell
harvester (Brandel Inc., Gaithersburg, MD) through GF/C filters
(Whatman, Clifton, NJ) (presoaked in 0.1% polyethylenimine) using
ice-cold PBS (for cells) or Tris-HCl (50 mM, pH 7.4, for membranes).
Bound radioactivity was determined by scintillation counting. Unless
otherwise stated, apparent Kd and
Bmax values were determined from a nonlinear
least-squares analysis of saturation data using Prism (GraphPad
Software, San Diego, CA). Statistical comparison of curves was
performed with two-way ANOVA using the same program. When specified,
h
OR maximal density was estimated from a single point, using
near-saturation concentration, and statistical differences were
determined using either one-way ANOVA followed by Student-Newman-Keuls
post hoc test or Student's t test, for multiple or
simple comparisons, respectively.
cAMP Accumulation Assays. Cells were grown in 75-cm2 flasks and labeled overnight (16 h) with DMEM supplemented with 10% fetal bovine serum and contained 1 µCi/ml of [3H]adenine. Radioactive medium was then replaced with fresh DMEM, and the cells were mechanically detached and thoroughly washed (three times) with PBS (4°C). Viability was assessed using trypan blue (mortality was never higher than 5%). Then, 5 × 105 cells were resuspended in 300 µl of assay mixture containing PBS, 25 µM forskolin, 2.5 µM IBMX, and different drugs at the indicated concentrations and incubated for 20 min at 37°C. The assay was terminated by the addition of 600 µl of ice-cold solution containing 5% trichloroacetic acid, 5 mM ATP, and 5 mM cAMP. [3H]ATP and [3H]cAMP were separated by sequential chromatography on Dowex exchange resin and aluminum oxide. Results were expressed as the ratio of [3H]cAMP/[3H]ATP + [3H]cAMP. Statistical significance of drug effects was determined using one-way ANOVA followed by Student-Newman-Keuls post hoc test.
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Results |
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Characterization of
OR Ligands.
Drug efficacy was
characterized for the expression system used in this study. cAMP
Accumulation on HEK293s cells stably transfected with h
ORs indicated
that the cyclic enkephalin analog DPDPE (Mosberg et al., 1983
) behaved
as an agonist, inducing 55 ± 4% reduction in
forskolin-stimulated cAMP (Fig. 1). The
nonselective benzomorphan bremazocine (Romer et al., 1980
) also behaved
as an efficacious
-agonist producing 58 ± 3% decrease in
forskolin-stimulated cAMP accumulation. Consistent with signal
amplification, EC50 values observed (Table
1) were 2 to 3 orders of magnitude lower
than those previously reported in GTPase assays (Costa and Herz; 1989
; Mullaney et al., 1996
; Befort et al., 1999
). The naltrexone derivative naltrindole and the deltorphin-related peptide TIPP, previously described as potent and selective
-antagonists (Portoghese et al.,
1988
; Schiller et al., 1992
), had no significant effect on cAMP
production and thus were classified as neutral antagonists. Finally,
ICI174864, an enkephalin analog (Cotton et al., 1984
), and the
pseudopeptide TICP
(Schiller et al., 1999a
,b
) behaved as inverse
agonists, inducing respective increases of 46 ± 6% and 47 ± 9% over forskolin-stimulated cAMP accumulation (Fig. 1). TIPP (1 µM) blocked the effect of ICI174864 (1 µM), indicating that the
effect of the inverse agonist was not caused by traces of endogenous
opiates present in the incubation medium. The 28 ± 3% increase
in cAMP accumulation induced by ICI174864 (1 µM) was reduced to
1 ± 6% when TIPP was also present (p < 0.05; n = 4). Basal values for cAMP accumulation in
the presence and absence of TIPP were similar (48 ± 17 and
51 ± 17 arbitrary units, respectively).
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),
most likely because of the labeling of both cell surface and
intracellular receptor sites by the former. Within the group of peptide
derivatives, which, unlike bremazocine and naltrindole, preferentially
bind to surface receptors (Childers et al., 1979
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Effect of Short-Term Inverse-Agonist Treatment on Binding Sites
Recognized by Agonist Radioligands.
Once the inverse efficacy of
ICI174864 was established, it was used as a prototype to assess the
effect of short-term inverse-agonist treatment on binding properties of
h
ORs, as detected by the agonists [3H]bremazocine and
[3H]DPDPE. For this purpose, HEK293s cells
expressing h
ORs were incubated with ICI174864 (1 µM) for 30 min.
Treatment was terminated by dilution in cold PBS (4°C), and cells
were then washed three times (5 min per wash) to ensure complete
elimination of the treatment drug. After washes, agonist binding was
assessed. ICI174864 pretreatment induced 33% (p < 0.05) and 57% (p < 0.001) reduction in the total number of binding sites detected in saturation assays with
[3H]bremazocine and
[3H]DPDPE, respectively (Fig.
2).
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on
[3H]bremazocine binding was also tested. Figure
3, A and B, respectively, shows that both
ICI174864 and TICP
pretreatment induced a concentration-dependent decrease in [3H]bremazocine
Bmax value. As in cAMP accumulation assays,
TICP
was more potent than ICI174864 in promoting the loss of agonist binding. Also in keeping with observations from cAMP accumulation, the
effect of short-term ICI174864 treatment on
[3H]bremazocine binding sites could be blocked
by TIPP (Fig. 3C).
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Mechanism Involved in the Loss of [3H]Bremazocine
Binding Sites after Short-Term Treatment with Inverse Agonists.
In
the next series of experiments, the role of receptor protein
down-regulation as a potential mechanism underlying the loss of agonist
binding sites was investigated. Immunoblot analysis using FLAG-tagged
h
ORs revealed specific immunoreactive bands corresponding to the
monomeric form of the mature receptor (55,000), immature receptor
(39,000), and degradation products (27,000), as well as dimers either
of the mature receptor (110,000) or of mature and immature species
(94,000; Fig. 4). As shown in Fig. 4, A
through C, for equal amounts of membrane protein obtained from control
and ICI174864-treated cells, immunoreactivity for each of the
receptor species was the same. Reciprocally, when loading an identical
number of receptors, as measured by
[3H]bremazocine binding, immunoreactivity
detected in membranes obtained from cells pretreated with ICI174864 was
higher (Fig. 4D). This indicates that the reduction in agonist binding
capacity was not accompanied by a decrease in the total amount of
receptor protein; rather, receptors adopted a conformation not
recognized by the agonist.
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, and the neutral antagonist
[3H]TIPP, most probably as a result of
internalization of the receptor. For the nonpeptide ligands that can
detect both cell-surface and intracellular sites, no change in the
apparent Bmax value was observed with the
antagonist [3H]naltrindole, but a marked
reduction in binding was found for the agonist
[3H]bremazocine.
According to currently accepted isomerization models (Samama et al.,
1994
OR from its cognate G protein by either treating
cells with PTX or by adding GppNHp to membrane-binding assays. Figure
6A shows that a submaximal concentration
of PTX by itself led to a significant loss in the number of sites
recognized by [3H]bremazocine, indicating that
the receptor conformation induced by uncoupling of the receptor from
the G protein does not bind the agonist with measurable affinity.
Association of this submaximal concentration of the toxin to
inverse-agonist pretreatment led to a more pronounced loss of binding
sites (p < 0.05, n = 6). A similar
cumulative tendency was observed when treatment with the inverse
agonist was combined with GppNHp (500 µM). On the other hand, the
effect of combining ICI174864 with either of the uncoupling agents was
not larger than that produced by associating toxin treatment with
guanine nucleotide, by combining the three treatment modalities
(PTX-GppNHp-ICI174864), or by associating ICI174864 with a
supramaximal dose of GppNHp (1 mM; Fig. 6A). The observed saturation in
the responses elicited was interpreted as an indication that the three
agents (PTX, GppNHp, and ICI1774864) share a common pathway in
promoting the loss of agonist binding sites.
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ORs were treated with ICI174864 (1 µM; 30 min), and
[3H]bremazocine binding was assessed. Agonist
Bmax value was decreased in membranes
prepared from ICI174864-treated cells, but not in membranes that had
been directly incubated with the inverse agonist (Fig. 6B), implying
that cell integrity is a prerequisite for inverse-agonist pretreatment
to effectively reduce agonist binding. Moreover, this observation
further indicates that the loss of sites recognized by agonist
radioligands is not caused by residual amounts of pretreatment drug.
Finally, the reversibility of ICI174864-induced changes on
[3H]bremazocine binding was assessed. To do so,
binding assays were allowed to proceed for increasing periods of time,
and Bmax values obtained in control cells
and after inverse-agonist treatment were compared. Figure
7 shows the recovery of
bremazocine-labeled sites expressed as a percentage of the initial
maximal loss. Only 28 ± 5% of the lost sites reappeared in the
first 6 h. Although increasing assay temperature stimulated the
recovery of [3H]bremazocine binding, the
process is still too slow to be simply explained by a change in the
coupling state of the receptor. Indeed, the idea that slowly
interconverting conformations may also occur in basal conditions is
suggested by differences in the total number of sites recognized by
[3H]TIPP, [3H]TICP, and
[3H]DPDPE in the absence of treatment (Table
2).
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Discussion |
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Results presented in this study show that exposure of the h
OR
to an inverse agonist for as little as 30 min induces a decrease in
maximal agonist binding and an increase in the total number of
receptors recognized by inverse agonists but leaves total receptor protein unchanged. These observations are consistent with the notion
that short-term treatment with inverse agonists favors the adoption of
receptor conformations that are distinctively recognized by inverse
agonists as compared with agonists.
Soon after their initial description (Pert and Snyder, 1973
), opiate
receptors were proposed to exist in more than one conformation, because
of the observation that diverse conditions differently modified agonist
and antagonist binding to brain membranes. For instance, sodium ions
(Pert et al., 1973
) and guanine nucleotides (Blume, 1978
) were found to
increase the number of antagonist binding sites and to decrease agonist
maximal binding capacity. Reciprocally, Mg2+ ions
(Pasternak et al., 1975
) were shown to enhance agonist binding but to
reduce the total number of sites recognized by antagonist drugs. The
effect of sodium ions and guanine nucleotides on agonist binding was
later assessed specifically for the
isoform. Although purine
derivatives decreased the maximal agonist binding capacity (Ott and
Costa, 1989
), Na+ ions produced a rightward shift
in agonist affinity (Costa et al., 1992
). A sodium-induced decrease in
agonist binding capacity for the
OR was only observed after
pretreatment with PTX (Wüster et al., 1984
). All these type of
changes have been interpreted previously in terms of the ternary
complex model (De Léan et al., 1980
) and more recently by means
of its extended versions (Samama et al., 1994
; Weiss et al., 1996
). In
general, such models propose the existence of a spontaneous equilibrium
between the G protein (G), the inactive receptor (R), and its active
conformation (R*) on the one hand and a heterodimeric complex (R*G) on
the other. Agonists are believed to promote the stabilization of the active ternary complex (AR*G), whereas drugs that favor the inactive, uncoupled state of the receptor are currently known as inverse agonists
(e.g., ICI174864 and TICP
). A decrease in the spontaneous interaction between R and G (decrease in
M; see Fig. 8 in Appendix) is the proposed
mechanistic explanation for the effect of ions and guanine nucleotides
on agonist binding (De Léan et al., 1980
; Wregget and De
Léan, 1984
). Intuitively, this rationale could explain the
observed decrease in [3H]bremazocine and
[3H]DPDPE binding (Fig. 3) and the concomitant
increase in that of [3H]TICP (Fig. 6A) by
arguing a reduction in coupling ability between receptor and G protein
after ICI174864 treatment. This hypothesis is also supported by the
observation that the effect of ICI174864 on
[3H]bremazocine binding could be mimicked, but
not augmented, by its combination with PTX-GppNHp treatment (Fig. 6).
However, a reduction in agonist maximal binding such as the one
observed in the present study or that reported for nonhydrolizable GTP analogs (Lee et al., 1986
; Bouaboula et al., 1997
; Ohtaki et al., 1998
;
Ott and Costa, 1989
), cannot be quantitatively accounted for by changes
in R*G stability. Indeed, although ternary complex formation may
adequately represent efficacy-related changes in drug affinity, none of
its theoretical constructs predict changes in maximal binding capacity
resulting from modification in G protein coupling (Lee et al., 1986
).
Figure 9 in the Appendix shows
that changes in receptor-G protein precoupling (simulated with the cubic ternary complex model) do not result in modification of ligand
binding capacity, but rather of Kd values.
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Despite the obvious similarities between the effect of nonhydrolizable
GTP analogs and inverse-agonist pretreatment on agonist binding
capacity, an important distinction should be made. Although radioligand
binding studies with guanine nucleotides take place in the presence of
the uncoupling agent, the loss of agonist-labeled sites observed in the
present report persists in the absence of any physical agent preventing
the agonist from reverting the system to the pretreatment distribution
of receptor conformations. For this observation to be possible,
conversion from low- to high-affinity agonist binding states should be
slow enough not to occur within the time frame of the experiment. This
kinetic interpretation is consistent with the long time required to
recover [3H]bremazocine-binding capacity upon
removal of ICI174869 (Fig. 7) and explains efficacy-related changes in
binding capacity by proposing that agonist or inverse-agonist ligands
undergo equilibrium binding to different receptor subpopulations that
do not readily interconvert within the time frame of the experiment.
The effect of inverse-agonist pretreatment could therefore be
considered as the establishment of a state of "hemi-equilibrium"
(Robertson et al., 1994
; Lew et al., 2000
), originating from a change
in the isomerization rate between different receptor conformations. A
change in isomerization kinetics is also supported by the acceleration in the recovery of [3H]bremazocine binding
sites after an increase in assay temperature.
Changes in isomerization rate as a mechanism contributing to the loss
of agonist binding sites observed after pretreatment with an inverse
agonist does not exclude a concomitant role for receptor-G protein
uncoupling in generating the response. However, failure of ICI174864 to
reduce [3H]bremazocine binding capacity when
directly incubated with cell membranes (Fig. 6B) indicates that the
latter is not sufficient. The requirement of cell integrity suggests
that the effect of inverse agonists on the regulation of isomerization
could be caused by turning off downstream signaling events that are
elicited by constitutive receptor activity. This interpretation is
consistent with functional effects in which prolonged inverse-agonist
treatment induced 5-hydroxytryptamine-2C receptor sensitization (Berg
et al., 1999
). Several candidates such as changes in receptor
phosphorylation, cytoskeleton-mediated translocation of the receptor
into membrane microdomains, oligomerization, or interaction with
accessory proteins could be the target of such regulation.
Slow transition among different receptor states has also been reported
for other peptide-binding GPCRs, including NK1,
NK3, and pituitary adenylyl cyclase-activating
protein (Hastrup and Schwartz, 1996
; Hashimoto et al., 1997
;
Krause et al., 1997
; Sagan et al., 1997
). In the case of these
receptors, the observation that led to the proposal of a slow
isomerization rate among different conformations was the inability of
pairs of drugs with documented high affinity, as measured by direct
radioligand binding, to compete in displacement assays (Maggi and
Schwartz, 1997). Similarly, impairing interconversion between different
conformations of the NK1 or
-opioid receptor
by mutation causes a decrease in competitive potency of ligands that
otherwise display high binding affinity in direct-saturation
experiments (Rosenkilde et al., 1994
; Hjorth et al., 1997
).
Moreover, apart from regulating binding properties, the isomerization
rate between receptor states has also been suggested to control the
specificity of receptor-G protein interaction (Riitano et al., 1997
).
These results, together with those presented in the present study,
emphasize the extent to which the isomerization rate between different
conformers may determine the pharmacological response elicited by a
multistate receptor population.
Further support for the existence of multiple receptor states is
provided by the fact that both ICI174864 as well as TICP
displayed
inverted "coupling efficiency ratios"
(Kd/EC50) for cAMP
accumulation compared with reduction in agonist binding (ICI174864: cAMP accumulation ratio = 1000, reduction in agonist binding
ratio = 0.07; TICP
: cAMP accumulation ratio = 9, reduction
in agonist binding ratio = 0.003). A shift in
EC50 values to the right of Kd values has been previously described not
only for the
OR (Costa et al., 1985
) but also for the closely
related nociceptin receptor (Albrecht et al., 1998
), the
2-adrenergic receptor (Seifert et al.,
1999
), and the human formyl peptide receptor (Gether et al., 1995
). Such a mismatch has consistently been interpreted as an indication of the effect of the drug in question being produced via an
ultralow affinity state. Extended to our study this interpretation would imply the coexistence of at least two distinct receptor states: a
high-affinity site that regulates cyclase activity, and a very
low-affinity site mediating the observed changes in binding capacity.
Furthermore, the fact that 20% of the receptors that recognize
[3H]TIPP are exclusively labeled by this ligand
is also consistent with the existence of a third, slowly isomerizing
form of the h
OR that does not readily recognize drugs with agonist
or inverse-agonist efficacy.
The effects induced by short-term exposure to an inverse agonist (30 min) observed herein are different from those obtained after longer
treatments (12-48 h). Sustained exposure of various GPCRs to different
inverse agonists is known to increase the total number of receptors
(MacEwan and Milligan, 1996a
,b
; Smit et al., 1996
; Lee et al., 1997
;
McLean et al., 1999
). In contrast, short-term treatment did not modify
the amount of receptor protein measured by neutral antagonist
radioligand binding (Fig. 5A) or by immunoblot (Fig. 4). The nature of
the effect of short-term inverse-agonist treatment should also be
distinguished from that induced by agonist exposure. Unaltered
[3H]naltrindole binding after a 30-min
treatment with the agonist SNC-80 (Fig. 5B) indicates that, as for the
treatment with inverse agonist, the total amount of receptor protein is
conserved. However, the Bmax value for the
membrane-impermeable [3H]TIPP remained
unchanged after treatment with the inverse agonist ICI174864 but is
decreased after treatment with SNC-80, implying that only the latter
induces receptors to enter a compartment that is inaccessible to
peptide ligands. Thus, although changes in
[3H]TICP
and
[3H]DPDPE labeling induced by ICI174864 are
consistent with changes in isomerization rate, those after SNC-80 are
most likely a result of receptor redistribution from the cell surface
to intracellular compartments. Such redistribution may conceal any
change in the way surface-bound receptors recognize ligands with
different efficacies. The agonist-promoted loss of
[3H]bremazocine binding cannot be attributed to
redistribution of receptors because this ligand has access to both cell
surface and intracellular sites. However, uncoupling from G protein as a consequence of receptor phosphorylation (Lohse et al., 1990
; Pals-Rylaarsdam et al., 1995
; Diviani et al., 1996
) may account for the
observed decrease in Bmax value. A loss of
agonist binding as a consequence of uncoupling is also consistent with
the observed reduction in [3H]bremazocine
binding observed upon addition of GppNHp (Fig. 6A). If these
desensitizing events took place at the same time as changes in the
isomerization rate, they may have masked any increase in agonist
binding resulting from kinetic changes. None of these results rule out
a possible effect of agonist treatment on receptor isomerization.
However, the multifactorial nature of the response elicited by agonist
drugs hindered the possibility of establishing reciprocity between the
effects induced by agonist and inverse-agonist exposure.
In summary, the data presented in this study are consistent with a model of multiple receptor states capable of discriminating among ligands of different efficacies and shows that by modifying isomerization rates among them, short-term treatment with an inverse agonist alters the relative frequency of the different conformers. In addition to questioning our current views on models describing receptor binding and activation, these results have practical implications for the interpretation given to Bmax values obtained in radioligand binding assays using ligands with different efficacies.
| |
Appendix |
|---|
|
|
|---|
The adequacy of ternary complex formation to reflect changes in
apparent ligand binding capacity, as those observed in this study, was
explored using the fully developed cubic version of the model (Weiss et
al., 1996
). In its simple form (De Léan et al., 1980
), the model
was described in terms of 1) ligand binding to the free receptor
[AR] (Kmin), 2) ligand binding to
the coupled receptor [ARG] (Kmax), 3)
interaction (M) between the receptor [R] and a membrane regulatory
component [RG], and 4) the factor
, characterizing the extent to
which agonist binding to the receptor promotes receptor-G protein
interaction (Fig. 8A). In this early version of the model, the only
active receptor species, [ARG], is promoted by the agonist. In its
fully extended version, the model incorporates not only the ability of
the receptor to spontaneously isomerize (J) to an active state [R*],
which preferentially binds the agonist over [R] by a factor of
but also the precoupling of the inactive state of the receptor to the G
protein [RG]. The higher tendency of the active receptor [R*] to
form the [R*G] complex is given by (
). An additional constant,
, represents the synergistic effect of agonist binding and G protein
coupling on receptor activation, or that of agonist binding to the
active conformation on the receptor's ability to couple to the G
protein (Fig. 8B). The corrected coupling constant M'= M(1+
J/1+J)
accounts for the higher tendency of the activated receptor [R*] to
interact with the G protein [G]. The coupling efficiency factor
is also modified to incorporate the ability of the agonist to promote coupling of the activated state of the receptor, yielding the following
equivalence:
' =
(1 + J / 1 +
J)(1 +
B
J / 1 +
J).
Using this model, total ligand binding may be simulated by calculating
the amount (at equilibrium) of the various ligand-bound states of the
receptor as a function of [A]tot,
[R]tot, [G]tot; the
drug constants K,
,
, and
; and the receptor constants J, M,
and
(Weiss et al., 1996
): Bound = AR + ARG + AR* + AR*G.
Figure 9 shows that for a full agonist (
= 75;
=
= 6), the maximal amount of radioligand bound remains
unchanged as M is varied across 8 orders of magnitude (1 × 10
8
1 × 10
1)
at different
[Rtot]/[Gtot] ratios.
Similar simulations of changes in M for a partial agonist (
= 32.5;
=
= 2) or for a full agonist at higher levels
of spontaneous activity (J100x or
100x) also yielded changes in
Kd value with no modification in the
apparent Bmax value for the drug. Based on
this simulation, it is possible to conclude that a model of heterotropic cooperativity such as ternary complex formation does not
account for the effect induced by short-term inverse agonist treatment
on agonist (or inverse agonist) binding capacity, as observed in the
present study.
Notwithstanding, a phenomenological representation may be obtained by
using a multisite model of noninteracting, noninterconverting sites.
This choice is valid only if interconversion among the multiple states
is assumed negligible within the time frame of the binding assay, an
assumption consistent with slow recovery of agonist binding sites after
inverse-agonist treatment (Fig. 7). In fact, differences in
Bmax values for
[3H]TIPP, [3H]TICP
,
and [3H]DPDPE (Table 2) indicate that at least
three noninterconverting sites with a distinct affinity for drugs with
different levels of efficacy exist even before pretreatment. From this
observation, simulations were made using a three-site model.
(Reciprocal changes in agonist and inverse-agonist
Bmax values may also be simulated with a
two-site population; nonetheless, three sites provided a better
representation of the data.)
In the simulation shown in Fig. 10,
drug affinity for each of the three sites were set to obtain
Kapp values equivalent to those
experimentally observed. In the experimental setting, variability did
not allow discrimination between single and multiple sites, requiring
default fitting to a one-site hyperbola to obtain
Kapp values shown in Table 1. Thus, for the
curves simulated in Fig. 10, data were generated with a multisite
equation, Bound = Bmax1 × [A]
/ (Kd1 + [A]) + Bmax2 × [A] /
(Kd2 + [A]) + Bmax3 × [A] /
(Kd3 + [A]), but were fitted to a single
site. Simulated Kapp values
corresponded to the actual values when the agonist was allowed to
recognize site 1 better than site 2, and site 2 better than site 3 (Kd1 = 0.8 nM;
Kd2 = 80 nM;
Kd3 = 8 µM). Conversely, the inverse
agonist was set to recognize site 2 better than site 1, and site 1 better than site 3 (Kd2 = 1 pM;
Kd1 = 20 pM;
Kd3 = 8 nM). The affinity of the three
sites for the antagonist was kept constant
(Kd1 = Kd2 = Kd3 = 145 pM).
|
To represent the effect of inverse-agonist pretreatment on agonist and inverse-agonist binding capacity, the total number of sites was kept constant, but the relative frequency of each subtype was allowed to change. The magnitude of the change in relative frequency was settled to account for a greater increase in observed inverse-agonist Bmax value than the decrease in agonist capacity. The increase in [3H]TICP binding was 323 fmol/mg, whereas the reduction in [3H]DPDPE binding was 133 fmol/mg (Fig. 10, left). Therefore, redistribution was represented by an increase in the ratio of inverse agonists preferring site 2 at the expense of both site 1 (agonist-preferring site) and site 3 (antagonist binding site). The initial proportion for each site was calculated from control [3H]DPDPE, [3H]TICP, and [3H]TIPP Bmax values and represent the percentage of total [3H]TIPP sites specifically recognized by each ligand. A 44% decrease in apparent [3H]DPDPE maximal binding and a concomitant 47% increase in [3H]TICP apparent Bmax values could be simulated by changing the site proportion from site 1 (15%), site 2 (22%), and site 3 (67%) in control condition to site 1 (8%), site 2 (34%), and site 3 (58%) after ICI174864 treatment. Congruence of experimental and simulated results should not be taken as definite proof of the adequacy of any given model. However, it constitutes additional evidence supporting the idea that changes in the relative frequencies of distinct receptor states may account for the changes in ligand binding capacity observed in the present study.
| |
Acknowledgments |
|---|
We thank Dr. J Wells for insightful comments and critical review of the manuscript.
| |
Footnotes |
|---|
Received March 29, 2001; Accepted July 10, 2001
G.P. was supported by a Postdoctoral Fellowship of the Canadian Institutes of Health Research (CIHR), and M.A. was supported by a Postdoctoral Fellowship of the Heart and Stroke Foundation of Canada (HSFC). M.B. holds the Hans-Selye Chair of Molecular and Cell Biology. This project was supported by grants from CIHR and HSFC and Canadian Research Chair in Molecular Pharmacology.
Dr. Michel Bouvier, Département de Biochimie, Faculté de Médecine, Université de Montréal PO Box 6128, Succ. Center-ville, Montréal PQ, H3C3J7, Canada
| |
Abbreviations |
|---|
GPCRs, G protein-coupled receptors;
R, inactive receptor;
R*, active receptor;
G, G protein;
h
OR, human
-opioid receptor;
IBMX, 3-isobutyl-1-methylxanthine;
DPDPE, [D-Pen2,D-Pen5]-enkephalin;
GppNHp, 5-guanylylimidodiphosphate;
TIPP, Tyr-D-Tic-Phe-Phe-OH;
TICP
, Tyr-TicY
[CH2NH]Cha-Phe-OH;
DMEM, Dulbecco's modified Eagle's
medium;
PBS, phosphate-buffered saline;
ANOVA, analysis of variance;
PTX, pertussis toxin;
AR, free receptor;
ARG, coupled receptor;
M, spontaneous interaction between R and G;
Kapp, apparent dissociation constant.
| |
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