Pain Research Center, Department of Anesthesiology, Perioperative
and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts
(S.T., A.G.); Harvard Biophysics Program, Harvard University, Boston,
Massachusetts (L.P.C.); and Department of Biological Chemistry and
Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts
(G.R.S.)
Understanding the interaction of local anesthetics (LAs) with plasma
proteins is essential to understanding their systemic pharmacology and
toxicology. The molecular determinants of LA binding to the major
variant (F1*S) of human
1-acid
glycoprotein (AGP) were therefore investigated spectrofluorometrically
using whole AGP and a novel, F1*S variant-selective
probe previously developed in our laboratory. Equilibrium- competitive
displacement of this probe by LAs, observed by the recovery of AGP's
fluorescence as the quenching probe was displaced from its
high-affinity site, was characterized by inhibitory dissociation
constants for the various LAs. The importance of electrostatic factors
was assessed by examining the pH dependent binding of an ionizable LA,
lidocaine, using the quaternary lidocaine derivative QX-314
[N-(2,6-dimethylphenylcarbamoylmethyl) triethylammonium
chloride] to control for pH dependent ionization of AGP. Uncharged
lidocaine bound with at least 8 times the affinity of protonated
lidocaine (KD = 4.0 ± 0.6 µM
and >32 µM, respectively). This result is inconsistent with the
current model of the AGP-binding site, which depicts a buried pocket
having a negatively charged region that interacts with the amino
termini of basic drugs. Consistent with the model, however, two sets of
structurally homologous LAs (mepivacaine, ropivacaine, bupivacaine, and
lidocaine, RAD-240, RAD-241, RAD-242, L-30, W-6603) demonstrated a
strong positive correlation between hydrophobicity (measured as the
octanol:buffer partition coefficient of the neutral species) and their
free energies of dissociation. Given that the tertiary structure of AGP
has proven refractory to resolution, these structure-activity studies should contribute to understanding the nature of the binding site on
this important protein.
 |
Introduction |
Understanding
the interaction of local anesthetics with plasma proteins is essential
to predicting their systemic pharmacology and toxicology. Many basic
drugs, including local anesthetics (LAs) and class I antiarrythmics,
are bound in blood principally or in part by AGP (Routledge, 1986
;
Stanski and Watkins, 1986
; Wood, 1986
; Kremer et al., 1988
). The
binding of a drug to a plasma protein reduces its free fraction in
serum, thus reducing its availability for active uptake or diffusion
into surrounding tissue and significantly influencing its
pharmacokinetics, toxicity, etc. (Wood, 1986
). For example, the local
anesthetic bupivacaine binds tightly to AGP (with
KD = 1 µM) (Essassi et al., 1989
), and this
binding may mitigate the systemic toxicity of bupivacaine (Wulf et al.,
1991
; Mazoit et al., 1996
).
Indeed, altered pharmacokinetics have been observed following the
binding of AGP to the LAs lidocaine and cocaine, and the same holds
true with other clinically relevant amphipathic amines: amitriptyline,
chlorpromazine, nicardipine, and verapamil (Benet and Hoener,
2002
). For example, AGP concentration has been shown to
correlate inversely with the free fraction of the LA ropivacaine 60 min
after epidural injection (Porter et al., 2001
). Also, one of the AGP
variants has been shown to limit the blood-to-brain transfer of the
amphipathic amines imipramine, disopyramide, and methadone
(Jolliet-Riant et al., 1998
).
Therefore, there has been much interest in determining the affinities
of drugs (or potential drugs) for
1-acid
glycoprotein (Belaiba et al., 1989
; Belpaire and Bogaert, 1989
).
Indeed, the ability to predict both effective doses for drugs and their
potential for toxicity hinges on our knowledge of these drugs'
affinities for AGP. The ability to predict affinities in turn depends
on an understanding of the molecular determinants of their binding.
Here we report the affinities of three clinically used local
anesthetics for the major (F1*S) variant of AGP
(bupivacaine, lidocaine, and mepivacaine), along with the affinity of a
racemic mixture of ropivacaine (LEA-103) and its enantiomer, LEA-104. We also report the affinities of several lidocaine homologs, including the ionizable compounds RAD-240, RAD-241, RAD 242, L-30, and W-6603, and the quaternized lidocaine derivative QX-314. These molecules were
chosen to assess the contributions of both hydrophobicity and
electrostatics to the binding of LAs to AGP. Hydrophobic contributions were examined at physiologic pH (7.40) by correlating the binding affinity of the LAs with their partition coefficients between octanol
solvents and aqueous buffer. Ionic contributions were examined both by
repeating the binding analyses with lidocaine at a higher pH (8.40),
where the majority of the local anesthetic is unprotonated
(pKa = 8.19 at 25°C; Strichartz et
al., 1990
), and by using the permanently positively charged lidocaine
analog QX-314. We contrast our results for the representative LAs
examined here with the prevailing pharmacophoric model developed using a series of structurally related antihistamines (Kaliszan et al., 1996
).
Affinities were determined in competition experiments with the probe
molecule
2-hydroxy-3,5-diiodo-N-[2(diethylamino)ethyl]benzamide (DEDIC), recently developed in our laboratory (Cogswell et al., 2001
).
Addition of DEDIC, an iodinated local anesthetic analog, to AGP results
in quenching of the protein's native tryptophan fluorescence by
binding with a known KD. Subsequent addition of a LA, with [DEDIC] kept constant, results in fluorescence recovery from which the concentration dependence permits determination of its
affinity. The local anesthetics used in this study were themselves not
efficient quenchers, and therefore, it was not possible to determine
their affinities directly.
A major advantage to using DEDIC, as opposed to other probes of
drug binding, is that it binds selectively to a high-affinity site on
the major (F1*S) variant of AGP. This selectivity permits the determination of drug affinities to the F1*S variant in
naturally occurring heterogeneous AGP (as is available commercially)
and therefore obviates the need to first separate the variants
chromatographically (Cogswell et al., 2001
). The importance of
determining affinities to the variants individually is underscored by
observations that the major and minor variants bind to many drugs with
differing affinities (Hervé et al., 1998
). The failure to account
for this heterogeneity would preclude the determination of individual
binding constants and, therefore, the development of more accurate
pharmacokinetic models, and greatly complicates the consideration of
structure-activity relationships for protein binding.
 |
Materials and Methods |
Materials.
Human
1-acid
glycoprotein, lot 128H7606 (AGP), bupivacaine, and lidocaine, all
>99% pure, were obtained from Sigma-Aldrich (St.
Louis, MO). Ethanol, 100%, anhydrous, in glass bottles was obtained from Aldrich Chemical Co. (Milwaukee, WI). Mepivacaine, LEA-103, LEA-104, RAD-240, RAD-241, RAD-242, L-30, W-6603, and QX-314
were obtained from Dr. Rune Sandberg, Astra Pharmaceuticals (Sodertalje, Sweden); and bupivacaine enantiomers were obtained from
CellTech Group PLC (London, UK). The probe molecule DEDIC was
previously developed and synthesized in our laboratory (Cogswell et
al., 2001
). Water was doubly deionized to >18.2 M
with a Milli-Q ultra pure water system (Millipore Corp., Bedford, MA) and was free of
fluorescent contaminants. The structures of DEDIC and the drugs used in
this study are given in Fig. 1.

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Fig. 1.
Structures of the ligands used in this study. All are
tertiary amines, except for quaternary QX-314.
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Preparation of biochemical solutions.
All solutions were
prepared in standard aqueous medium (SAM), containing 0.15 M NaCl and 5 mM MOPS buffer adjusted to pH 7.40. Standard practices for the
preparation and storage of solutions have been described previously
(Cogswell et al., 2001
).
Fluorescence Assays.
Emission measurements were taken at
22°C with an SLM-Aminco SPF-500 spectrofluorometer operating
in ratio mode, using rhodamine B (3 g/l in ethylene glycol) as a
standard for longitudinal stability. Repeated measures of the
fluorescence spectrum of a stable solution of AGP demonstrated a
precision better than ±2% for recordings collected over 2 to 3 h. The excitation and emission bandpasses were set at 2.5 nm and 20 nm,
respectively. As previously reported (Cogswell et al., 2001
), the shape
of the emission spectrum of AGP was essentially independent of
excitation wavelength over the range 265 to 295 nm, indicating that
tyrosine residues did not contribute significantly to the observed
fluorescence. Therefore, to yield the maximal fluorescence signal, the
protein was excited at either 278 nm or 285 nm, near its wavelength of
maximum absorbance (278 nm). However, in experiments with QX-314, the
protein was excited at 295 nm to avoid large, inaccurate (i.e., greater
than a factor of 2) inner filter corrections due to absorbance by drug at shorter wavelengths.
Fluorescence Quenching Experiments with DEDIC.
The use of
DEDIC as a variant F1*S-selective antagonist of drug binding
to whole AGP has already been described in detail (Cogswell et al.,
2001
), and only essential details are repeated here. Although DEDIC is
structurally similar to local anesthetics, it contains two iodine
atoms, which are believed to be responsible for its efficient quenching
of proteins' intrinsic fluorescence. One of the noteworthy physical
properties of DEDIC is that it is zwitterionic at physiologic pH, with
its phenolic and amino hydrogens having
pKa values of 5.0 and 9.8, respectively (Fig. 1). Therefore, DEDIC does not undergo major changes
in protonation at pH levels near the
pKa values of most local anesthetics
(ca. 7.5-8.5). In the present work, this property of DEDIC greatly facilitated its use as a probe of drug binding at more than one pH.
For all experiments a titration method was used, as described in
Cogswell et al. (2001)
. At both pH 7.4 and 8.4, 250 µl of 5 µM AGP
was added to 2.25 ml of SAM in a quartz cuvette and allowed to stand
for 5 min with stirring. Stock solutions of DEDIC (2, 20, or 200 µM)
were then added to the cuvette in successive aliquots, with continued
stirring, and the fluorescence was measured at an analytical emission
wavelength of 345 nm. The volume of each aliquot ranged from 5 to 200 µl, and DEDIC concentrations were distributed evenly along a
logarithmic concentration axis. Data were first corrected for inner
filter effects (Lakowicz, 1999
) and then for volume dilution. To
minimize the theoretical possibility of degradation associated with
repeated interrogation of the sample, single-wavelength measurements
(
em = 345 nm) were collected instead of
complete emission scans, and the excitation shutter was closed between
brief periods of illumination. In control experiments, no evidence of
photodegradation was observed when AGP or AGP/DEDIC solutions were
permitted to stand in the light path for a period of time that exceeded
severalfold the cumulative exposure of completely titrated solutions.
Resultant quench curves were generated by plotting the normalized
corrected fluorescence, F, versus the total (nominal) drug concentration, DT. At the concentrations of drug
and protein used in this study the free drug concentration was not well
approximated by that of total drug, and so the data were fitted to
isotherms where the independent variable was total drug. The data were
best fitted by a two-site model, as given in eq. 1, were
[D] is given in eq. 2 below (derived in Cogswell et al.,
2001
).
|
(1)
|
where A1 and A2 are
defined as the amplitudes of the quench associated with DEDIC binding
to the apparent higher- and lower-affinity binding site, respectively.
Equation 2 defines the concentration of free DEDIC,
[D], in terms of the nominal drug concentration (DT), the nominal concentration of each
class of binding site (PT1 and
PT2), and the
equilibrium dissociation constants from the higher- and lower-affinity
sites (KD1 and
KD2).
|
(2)
|
where
We previously demonstrated that the apparent high-affinity
binding site observed for DEDIC binding to whole AGP is the
high-affinity site on the F1*S variant (Cogswell et al.,
2001
). Therefore, the affinity of DEDIC for F1*S may be
readily identified from the quench curve. For each of the replicate
quench curves, eq. 1 was fitted to the data yielding the parameters
PT1,
PT2,
KD1,
KD2,
A1 and
A2. Replicate determinations of each
parameter were averaged.
Fluorescence Recovery Experiments with LAs.
The affinities
of the test compounds were determined in displacement experiments with
DEDIC at either pH 7.4 or 8.4, as noted. Again, a titration method was
used, taking the same precautions to prevent photodegradation. Two
hundred fifty microliters of a 5 µM AGP solution were added to 2.19 ml of SAM in a cuvette and equilibrated for 5 min before an initial
fluorescence reading was taken. Then, 62.5 µl of either 20 µM, 40 µM, or 80 µM DEDIC solution was pipetted into the cuvette to make a
nominally 0.5 µM, 1 µM, or 2 µM solution of DEDIC, respectively.
After stirring for 4 min to allow for equilibration, a second
fluorescence reading was taken. Subsequent readings were taken 15 s after addition of successive aliquots of local anesthetic directly to
the cuvette. Again, the volume of each aliquot was variable, ranging
from 5 to 200 µl.
Fluorescence data were first corrected for inner-filter effects
(Lakowicz, 1999
) and then corrected for dilution by multiplying each
datum by the appropriate dilution factor. From the resulting fluorescence recovery curves, the affinities of the local anesthetics were determined by fitting the data by a model of competitive antagonism at a single site (eq. 3 derived in Cogswell et al., 2001
).
The single-site assumption is appropriate since, at the DEDIC
concentrations used in the displacement experiments, it binds almost
exclusively to the high affinity site on the F1*S variant.
Given knowledge of KD(DEDIC) and the
concentration of high affinity sites, eq. 3 was used to determine an
inhibition constant (KI). Data from
replicate experiments were fitted individually by eq. 3, and the fit
parameters were averaged. Best-fit lines for each set of replicate
recovery curves were then generated from these averaged parameters.
|
(3)
|
Here, A1 and
A2 are the amplitudes of fluorescence
quenching that would result from the binding of infinite nominal
concentrations of DEDIC
(DT1) or LA
(DT2) to protein
with dissociation constants of
KD1 and
KD2,
respectively. The concentration of free protein [P] is
given in terms of nominal protein and ligand concentrations by eq. 4.
|
(4)
|
where
Fluorescence recovery experiments were performed using 0.5 µM
AGP, which had been allowed to pre-equilibrate with each of three DEDIC
concentrations (0.5, 1, and 2 µM). Experiments at each [DEDIC] were
performed at least in duplicate.
Physicochemical Properties of LA Homologs.
Octanol:buffer
partition coefficients were determined at 25°C by an optical method,
as described in Sanchez et al. (1987)
and Strichartz et al. (1990)
,
using well buffered aqueous solutions of 0.15 M NaCl. These data,
obtained by G. Strichartz and V. Sanchez, have not been previously
reported. pKa values of the LAs and
homologs are taken from Strichartz et al. (1990)
and from Bokesch et
al. (1986)
.
Using lidocaine, the competitive nature of the interaction was
established by determining an average
KI at each [DEDIC], in addition to
determining the average inhibition constant overall. The independence
of KI on [DEDIC] would be consistent
with competitive antagonism. Additionally, for lidocaine, at each
[DEDIC], IC50 values were calculated
graphically from the recovery curves, and a Schild plot was generated.
If the lidocaine-DEDIC interaction were competitive, a linear
dependence of IC50 on [DEDIC] would be expected.
Calculation of LA Surface Areas and Volumes.
To probe the
relation between the affinity of the LA homologs (Fig. 1) and several
indices of hydrophobicity, the van der Waals surface areas and the
volumes of the LAs' amino termini were calculated using Alchemy 2000 molecular modeling software (Tripos Inc., St. Louis, MO). The amino
terminus was defined as the amine nitrogen plus any appended aliphatic
chains, including the main chain up to, but not including, the carbonyl
group (Fig. 1). These terminal fragments were energy minimized prior to
calculation of surface area.
Control Experiments.
To investigate the combined effects of
LA fluorescence and LA quenching of AGP, each LA was added to 0.5 µM
AGP without DEDIC over the range of the concentrations used in this
study. In cases where the magnitude of apparent quenching was greater
than the signal variance (ca. 2% of the protein's unquenched
fluorescence), the data were corrected for this effect. Although no
correction was necessary for bupivacaine, L-30, or RAD-242, corrections
were made for mepivacaine, LEA-103/104 ("racemic ropivacaine"),
QX-314, (R)-bupivacaine, (S)-bupivacaine,
RAD-241, RAD-240, and lidocaine, which at the highest concentrations
encountered in these experiments quenched approximately 15, 10, 8, 8, 8, 7, 6, and 5% of the original AGP signal, respectively. These curves
served as DEDIC-independent baselines for the titration experiments
with LAs and were subtracted from the corresponding recovery curves
prior to their analysis.
Calculating the Affinity of Neutral and Protonated Lidocaine to
AGP at pH 7.4.
Lidocaine, an ionizable LA with a
pKa of 8.19 ± 0.03 (mean ± S.D.) at 25°C (Strichartz et al., 1990
), exists as a mixture of
positive and neutral species, each of which may bind to AGP with
different affinities. By determining the binding affinity of a LA at
two different pH levels, one can calculate the affinity of each species
to AGP at pH 7.4:
KD0 and
KD+ for the
neutral and protonated species, respectively. However, in this
analysis, pH dependent changes of the binding site must be properly
accounted for. The nonionizable, positively charged QX-314 was
therefore used to assess the influence on LA binding of possible pH
dependent changes in the protein-binding site. The effect of protein
ionization on LA affinity, if present, could then be factored into the
calculation of affinities of neutral and protonated lidocaine for AGP
at pH 7.4. The derivation of equations that describe these behaviors is
given in the Appendix.
In this paper, eqs. 12 and 13 (Appendix) are used to determine the
affinity of AGP at pH 7.4 for the neutral and protonated forms of
lidocaine, respectively. To do this, however, it is essential to know
the factor
for lidocaine (see eq. 8, Appendix), the ratio
expressing the relative affinities of protein for the charged form of
the drug between the higher and lower pH. This was achieved in control
experiments with the permanently positively charged lidocaine homolog
QX-314, wherein
QX-314 was readily determined.
On the basis of the near structural identity of the two molecules,
lidocaine was then assumed to equal
QX-314.
 |
Results |
Determination of KD
(F1*S) for DEDIC at pH 7.4 and 8.4 .
The addition
of DEDIC to 0.5 µM AGP results in the quenching of up to 75 to 80%
of the protein's intrinsic fluorescence. These data for pH 7.4, shown
in Fig. 2, are well fitted by a two-site model [eq. 1 to yield a KD
(F1*S/DEDIC) of 0.057 ± 0.013 µM (mean ± S.D.)] with PT1 = 0.21 ± 0.02 µM, and a KD of 9.82 ± 2.60 µM, with
PT2
indeterminate, for the higher-affinity and lower-affinity site, respectively. (Here
PT1 and
PT2 refer to the
apparent molar concentrations of binding sites.) The normalized
amplitudes of the fluorescence decreases for the high- and the
low-affinity processes are 0.53 ± 0.02 (mean ± S.D.) and
0.25 ± 0.03, respectively, with residual, unquenchable
fluorescence of 0.22 ± 0.03. At pH 8.4, the affinity of DEDIC for
either binding site is approximately halved; the model yields
KD values (F1*S/DEDIC) of 0.109 ± 0.025 µM (mean ± S.D.) with
PT1 = 0.22 ± 0.02 µM, and 20.03 ± 5.94 µM, with
PT2 indeterminate
for the high- and low-affinity sites, respectively (Fig. 2). The
relative amplitudes of the fluorescence changes for the high- and the
low-affinity processes are unchanged by this elevation of pH: 0.49 ± 0.02 and 0.27 ± 0.01, respectively (mean ± S.D.). The
average coefficient of determination
(R2) for all fitted curves in Fig. 2
was 0.999.

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Fig. 2.
Quenching of the intrinsic (tryptophan) fluorescence
of 0.5 µM AGP following addition of the probe molecule, DEDIC, to the
nominal concentrations shown on the abscissa. The lines are the best
fits of eq. 1 to data from three separate experiments, each of whose
individual results are shown. Open symbols, pH 7.4; and closed symbols,
pH 8.4.
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|
Fluorescence Recovery on Addition of LAs (pH 7.4).
Addition of
increasing concentrations of lidocaine, from 0.5 µM to 10 mM, to
pre-equilibrated mixtures of DEDIC and AGP restores the original
protein fluorescence in a concentration-dependent manner (Fig.
3). At each of the three DEDIC
concentrations used (0.5, 1, and 2 µM), primarily the major
(F1*S) variant of AGP is bound by the quencher. Also note
that the independent variable in the plot is the nominal
concentration of LA and not the free LA concentration. The increase of
IC50 for lidocaine (Fig. 3, inset) with
increasing nominal DEDIC concentration confirms the competitive nature
of the interaction between DEDIC and lidocaine, a behavior that held
for all the compounds studied here. From these data we calculated the
average KI for lidocaine binding to
the F1*S variant at each DEDIC concentration using eq. 3.
The averaged KI values at 0.5, 1, and
2 µM [DEDIC] were 30.2 ± 4.9, 20.1 ± 2.9, and 26.0 ± 2.3 µM, and the overall average of all these determinations was
KI = 25.4 ± 5.3 µM (mean ± S.D.), n = 6. These calculated
KI values agree well with values in the
literature, further validating this method (see Table
1). The average coefficient of
determination (R2) for all fitted
curves in Fig. 3 was 0.991.

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Fig. 3.
Fluorescence recovery on addition of lidocaine to
premixed solutions of 0.5 µM AGP and DEDIC at pH 7.4. Three sets of
recovery curves (each with two replicates) are shown, corresponding to
a different [DEDIC]: 0.5 µM, open symbols; 1.0 µM, cross symbols;
and 2.0 µM, closed symbols. Best-fit lines for eq. 3 are shown for
each set of replicates. Inset, IC50 versus each
[DEDIC].
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TABLE 1
Local anesthetic binding to the major variant of AGP (F1*S)
at pH 7.4 and pH 8.4
The first two columns give the KD values
determined for ligand binding to the major (F1*S) variant of
human 1-acid glycoprotein at pH 7.4 and pH 8.4, respectively. For comparison with our data at pH 7.4, columns three and
four give previously reported KD values (where
available) for drug binding to F1*S and whole AGP,
respectively. With the exception of DEDIC, previous determinations were
made in buffers of varying compositions, and different from our own.
The number of independent determinations is given in parentheses.
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Similar recovery curves at pH 7.4 were obtained for the remaining
compounds: mepivacaine, LEA-103/104 (racemic ropivacaine), bupivacaine, (R)-bupivacaine, (S)-bupivacaine,
RAD-240, RAD-241, RAD-242, L-30, W-6603, and QX-314. A summary of
KI values from these fluorescence
recovery experiments is given in Table 1.
Local Anesthetics: Ionic Factors in Binding to AGP.
To examine
the effects of charge on the drug-protein interaction, we determined
the affinity of lidocaine for the major AGP variant at pH 8.4. This
increase in pH changes the fraction of lidocaine in the neutral form
from 0.14 to 0.63, and the KI to 6.75 ± 0.68 µM (mean ± S.D.), about a quarter of the
value at pH 7.4 (Table 1). To probe the effects on binding from changes in the ionization of the protein between pH 7.4 and 8.4, the affinity of the positive, nonionizable lidocaine homolog QX-314 was determined at both pH levels (Table 1): 90.3 ± 7.6 µM and 52.2 ± 14.8 µM (mean ± S.D.) at pH 7.4 and 8.4, respectively. Raising
the pH over this range approximately halves the
KD for QX-314, showing that the charged compound
has a higher affinity at the higher pH.
This affinity ratio (0.58) gives the factor
(eq. 8, Appendix),
which was used to determine the affinity of both protonated and
nonprotonated lidocaine at pH 7.4. Using eq. 12 (Appendix), the
KD for the binding of neutral lidocaine to
F1*S at pH 7.4 was found to be 4.0 ± 0.6 µM.
Although a corresponding KD for cationic
lidocaine could not be determined precisely, it was possible to
determine the lower limit to be 32 µM (eq. 13, Appendix). The neutral
form of lidocaine therefore binds at least 8 times as tightly as does
the charged form.
Local Anesthetics: Relation between Affinity and
Hydrophobicity.
In Table 2, the
Gibbs free energy of dissociation (
G) of the local
anesthetics (calculated as
RT
ln[Keq]) and LA derivatives is
listed along with several measures of hydrophobicity: number of
amino-terminal carbons, surface area and volume of the amino terminus,
octanol:buffer distribution coefficient of each compound at pH 7.4 (Q7.4); octanol:buffer partition
coefficients for the neutral (P0) and
charged (P+) drug species, and
pKa. Graphs of several of these
molecular properties versus the apparent free energy of binding reveal
the features of LAs that systematically correlate with AGP affinity, and those features that do not.
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TABLE 2
Gibbs free energy of dissociation and several indices of compound
hydrophobicity
The hydrophobic indices are the number of amino carbons, the surface
area and volume of the alkyl amino moiety, the octanol:buffer
distribution Coefficient (Q7.4), the octanol:buffer
partition coefficient of the neutral (P0) and
the charged (P+) species, and
pKa.
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The strongest correlation was between
G and
P0
(r2 = 0.82; Fig.
4), and a much weaker correlation
(r2 = 0.40) was observed for
G versus P+ (not shown).
Curiously, the latter correlation is significantly strengthened
(r2 = 0.86) if L-30 and W-6603 are not
included in the regression. Unlike the remaining compounds in the
study, which have only one carbon between the carbonyl group and the
amine, L-30 and W-6603 have two and three carbon linkers, respectively.

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Fig. 4.
Relationship between G
(dissociation) of structurally homologous LAs from the
F1*S variant of AGP and the experimentally determined
octanol:buffer partition coefficient of the neutral species (G. R. Strichartz and V. Sanchez, unpublished observation)
(r2 = 0.82).
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|
Similarly, despite weak correlations between
G and the
number of amino group-linked carbons
(r2 = 0.22; Fig.
5A), amino surface area
(r2 = 0.12, not shown), and amino
volume (r2 = 0.18, not shown), the
omission of L-30 and W-6603 from the regression gave strong
correlations, with r2 equal to 0.90, 0.85, and 0.90, respectively. Comparison of the free energy of AGP
binding versus carbon number with the free energy of octanol:buffer
partitioning of the neutral species versus carbon number
(r2 = 0.34; Fig. 5B) shows a striking
similarity. Not only are the slopes similar, 0.29 and 0.35 kcal/mol/methylene group, respectively, but both L-30 and W-6603 are
outliers from the best fit with anomalously low free energies for
protein dissociation or solvent partitioning.

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Fig. 5.
A, relationship between G
(dissociation) of structurally homologous LAs from the
F1*S variant of AGP and the number of alkyl-amino
carbons (r2 = 0.22). B, analogous
relationship between G (partitioning) of neutral
species between octanol and buffer (G. R. Strichartz and V. Sanchez, unpublished observation) (r2 = 0.34).
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In contrast, very weak overall correlations existed between
G and either pKa
(r2 = 0.26; Fig.
6) or the octanol:buffer distribution
coefficient (r2 = 0.08; Fig.
7), which accounts for the partitioning
of both protonated and neutral species of LAs. The omission of L-30 and W-6603 from these regressions did not improve these correlations.

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Fig. 6.
Relationship between G
(dissociation) of structurally homologous LAs from the
F1*S variant of AGP and the LA
pKa (Bokesch et al., 1986 )
(r2 = 0.26).
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Fig. 7.
Relationship between G
(dissociation) of structurally homologous LAs from the
F1*S variant of AGP and the molecules' octanol:buffer
distribution coefficient at pH 7.4 (G. R. Strichartz and V
Sanchez, unpublished observation) (r2 = 0.08).
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Discussion |
The affinities of the major AGP variant for the clinically
important drug mepivacaine, racemic ropivacaine, the quaternary lidocaine derivative QX-314, and the tertiary amine lidocaine homologs
RAD-240, RAD-241, RAD-242, W-6603, and L-30 are reported here for the
first time. Although values for bupivacaine and lidocaine were
previously reported (Denson et al., 1984
; Kaliszan et al., 1996
;
Cogswell et al., 2001
), we repeated these determinations using our
current lot of AGP and buffer system to allow valid comparison with the
present determinations of the other compounds. Not only can the buffer
affect the KD (Ravis et al., 1988
), complicating comparisons of drug affinities under different conditions, but the
composition and quality of commercial AGP are also known to vary
significantly, even from lot to lot from the same supplier (Lunde et
al., 1986
; Morin et al., 1986
; Hervé et al., 1997
). Nevertheless,
our results for bupivacaine and lidocaine binding to the major AGP
variant are consistent with those reported in the literature (Table 1).
Hydrophobic Effects on LA Binding.
For the two series of local
anesthetics, the linear alkyl amino homologs of lidocaine and the
piperidine ring-containing homologs of mepivacaine, we found a linear
relationship (r2 = 0.82) between
G (dissociation) for AGP binding and the octanol:buffer partition coefficient of the neutral drug species. The strong correlation between hydrophobicity and the affinity for the LAs is in
accord with studies showing that generalized hydrophobicity is a major
determinant of binding for other drug classes, including basic drugs
such as antihistamines and antihypertensives (Kaliszan et al., 1996
),
diazepines (Maruyama et al., 1992
), and phenothiazines (Miyoshi et al.,
1992
), as well as acidic drugs such as coumarin anticoagulants
(Maruyama et al., 1990
). That the same linear correlation holds for
both homologous series, each with a different conformation of carbons
around the amino nitrogen, implies that this hydrophobic interaction is
relatively forgiving, suggesting that the binding site is a broad
hydrophobic surface or a flexible pocket that can accommodate ligands
with a range of sizes.
The correlation of AGP affinity with the number of amino-linked carbons
(Fig. 5A) was not as strong as that for the (neutral) partition
coefficient (Fig. 4), because the molecules that have increasing carbon
numbers between the amide bond and the amine nitrogen, namely W-6603
and L-30 (Fig. 1), fall well off the line. Interestingly, this same
deviation occurs when the
G of octanol:buffer partitioning is graphed against carbon number (Fig. 5B), suggesting that the properties of the binding pocket have fortuitous similarity to
octanol, including hydrophobicity and, possibly, hydrogen bonding activity.
Although the two bupivacaine enantiomers have been assigned different
affinities for whole (unfractionated) AGP (Mazoit et al., 1996
), with a
stereoselectivity (R:S) of ca. 2, we resolved no
significant stereoselectivity for bupivacaine binding to the high
affinity site on F1*S. Therefore, for the purpose of
examining trends in drug binding with changes in drug hydrophobicity,
the use of apparent affinities for the piperidine ring-containing racemates seems acceptable.
Electrostatic Effects on LA Binding.
The effects of pH on
local anesthetic pharmacokinetics are complex and poorly understood,
yet clearly important (Porter et al., 2000
). Given that LAs,
particularly the notoriously cardiotoxic bupivacaine, are reported to
bind tightly to AGP (Essassi et al., 1989
), it seemed plausible that pH
dependent changes in LA pharmacology/toxicology could be mediated
through changes in their affinity for the protein.
An exhaustive search revealed few publications on this subject.
Although the affinity of bupivacaine for AGP in vitro had been reported
to decrease 36-fold when the pH was lowered from 7.4 to 7.0 (Denson et
al., 1984
), mechanistic interpretation of these results is difficult.
Principally, the study did not control for the influence on drug
affinity of protein ionization. Studies correlating pH with the free
fraction of prilocaine (Bachmann et al., 1990
) and lidocaine (McNamara
et al., 1981
) had similar shortcomings.
Therefore, in this work, electrostatic effects on the affinities of LAs
were deduced by examining the affinities of lidocaine and QX-314 at two
pHs levels: 7.4 and 8.4. QX-314, a quaternary ammonium derivative,
differs from lidocaine only in an additional ethyl group on its amine
nitrogen. Essential control experiments with QX-314 were performed to
assess the effect of pH changes on the ionization of the protein and,
therefore, its affinity for LAs since, otherwise, the effect of pH
changes on the drug could not be separated from those on the protein.
Moreover, it is essential that the ligand used as a control (here
QX-314) be structurally homologous to the drug under study, ensuring
that the drug and the probe bind in an identical position. Likeness of
charge is equally important. Indeed, an uncharged probe would probably
be less sensitive than a cationic one to changes in protein ionization,
given the relative importance of ionic interactions in ligand binding.
In control experiments, we found that F1*S bound QX-314 only
about twice as tightly at pH 8.4 as it did at pH 7.4. A likely interpretation is that the neutralization of basic amino acid side
chains at the higher pH decreases the net positive charge near the
binding site, reducing electrostatic repulsion of cationic QX-314. The
affinity of the F1*S variant for neutral lidocaine was
calculated to be at least 8 times that of protonated lidocaine, supporting the model of a region of overall positive charge in the
binding pocket.
Curiously, in the case of zwitterionic DEDIC, the trend was the
opposite to lidocaine and QX-314: DEDIC bound only about half as
tightly at the higher pH. Because the
pKa values of DEDIC's phenolic and
amino moieties are 5.5 and 9.8, respectively, increasing the pH from
7.4 to 8.4 does little to alter its ionization. Ionization of the
protein, therefore, must predominate in the change in affinity, and
since the binding energy is reduced, the attraction of the putative
basic residue for DEDIC's negatively charged phenolic group must be
greater than its repulsion of the positively charged amine. The
protonatable charges of AGP near the LA binding site appear to be
positive and located closer to the LA's aromatic group rather than its
amino terminus.
This finding is significant in that it contradicts the predictions of
the current model of the AGP binding site for amphipathic amines,
namely, a region of negative charge near the bottom of a hydrophobic
pocket (Kaliszan et al., 1995
). Kaliszan at al. (1995)
noted a strong
correlation between the affinities of basic drugs (antihistamines and
antihypertensives) for unfractionated AGP and the calculated excess
electron density on their amino nitrogens. Since amino electron density
correlates with pKa values of the
drugs, they postulated that a negatively charged region on the protein
was stabilizing the binding of basic drugs by interacting with their
protonated amino termini. Their model was likewise consistent with
previous observations that the pKa
values of phenothiazines correlated with their apparent affinities for
unfractionated AGP (Miyoshi et al., 1992
). However, for the LAs
reported here, there was no correlation between
pKa and affinity (Fig. 6).
One possible explanation for the discrepancy between our results and
those of Kaliszan et al. (1995)
might arise from their use of whole
AGP, whereas our method selectively probed the F1*S variant.
Perhaps the compounds used by Kaliszan et al. (1995)
bound
preferentially to the A variant, which might differ from F1*S in the effects of drug protonation on affinity.
However, Hervé et al. (1998)
found that several antihistamines
and antihypertensives had no consistent preference for either variant.
A second possibility is that whereas we measured the affinity of free
drug to free protein, Kaliszan et al. (1995)
actually measured the
retention of drug on an AGP column; it is conceivable that the AGP
binding site is altered during chemical crosslinking to silica. A third
explanation lies in the potentially different binding modalities of LAs
and those drug classes examined by Kaliszan et al. (1995)
, principally
antihistamines and class II antiarrythmics.
The model of Kaliszan et al. (1995)
is also inconsistent with a report
on the binding of unfractionated AGP to six amphipathic amines: two
antihypertensives, two antidepressants, an antipsychotic, and a
coronary vasodilator (Urien et al., 1991
). The neutral forms of these
drugs bound to AGP more tightly than did their protonated counterparts
by factors of 5 to 20. Although unfractionated AGP was used,
dipyridamole and imipramine (two of the drugs studied) are now known to
possess greater than 10-fold selectivity for the F1*S and
A variants, respectively (Hervé et al., 1998
). These data therefore appear to contradict the model of Kaliszan et al. (1995)
, yet are consistent with the results reported here.
As a result of the current work, we propose a binding site for local
anesthetics on F1*S of AGP that is largely composed of a
structurally accommodating hydrophobic pocket, perhaps with the ability
to hydrogen bond to H-donor and -acceptor groups on the ligand (by
analogy with the hydroxyl moiety of octanol), and with a basic residue,
mostly charged at neutral pH, that is located close to the aromatic
group on bound drug molecules.
Accepted for publication September 11, 2002.
Received for publication July 23, 2002.
The apparent (observed) dissociation constant of an
ionizable drug for a protein is given by