We have previously described a cyclic tetrapeptide, 1, that displays μ opioid receptor (MOPr) agonist and δ opioid receptor (DOPr) antagonist activity, a profile associated with a reduced incidence of opioid tolerance and dependence. Like many peptides, 1 has poor bioavailability. We describe here an analogue of 1 with an added C-terminal β-glucosylserine residue, Ser(β-Glc)NH2, a modification that has previously been shown to improve bioavailability of opioid peptides. The resulting peptide, 4, exhibits full antinociceptive efficacy in the mouse warm water tail withdrawal assay after intraperitoneal administration with potency similar to that of morphine. Further, 4 does not give rise to acute tolerance and thus represents a promising lead for the development of opioid analgesics with reduced side effects.
We have previously described a cyclic tetrapeptide, 1, that displays μ opioid receptor (MOPr) agonist and δ opioid receptor (DOPr) antagonist activity, a profile associated with a reduced incidence of opioid tolerance and dependence. Like many peptides, 1 has poor bioavailability. We describe here an analogue of 1 with an added C-terminal β-glucosylserine residue, Ser(β-Glc)NH2, a modification that has previously been shown to improve bioavailability of opioid peptides. The resulting peptide, 4, exhibits full antinociceptive efficacy in the mouse warm water tail withdrawal assay after intraperitoneal administration with potency similar to that of morphine. Further, 4 does not give rise to acute tolerance and thus represents a promising lead for the development of opioid analgesics with reduced side effects.
The growing recognition
that multifunctional ligands simultaneously
acting at multiple targets may yield a more desirable drug profile
than selectively targeted drugs has opened a new approach for the
development of therapeutics.[1−3] For opioid analgesics this is
exemplified by the observation that coadministration of a μ
opioid receptor (MOPr) agonist with a δ opioid receptor (DOPr)
antagonist retains MOPr-mediated analgesia but reduces development
of tolerance and dependence,[4−6] features that hamper the clinical
use of opioid analgesics. For pharmacokinetic simplicity it is preferable
to incorporate both activities into a single compound, and the development
of bifunctional opioid ligands has thus become a topic of increasing
interest. Peptide,[7,8] peptidomimetic,[9−11] and alkaloid[12] structures have been reported that display a
MOPr agonist/DOPr antagonist (MOPr(ag)/DOPr(ant)) profile. The best
studied of these are Schiller’s peptide DIPPψNH2 [8] and Balboni’s peptidomimetic,
UFP-505.[9,10] Consistent with the expectations for a compound
with a MOPr(ag)/DOPr(ant) profile, DIPPψNH2 was reported
to produce reduced tolerance compared to morphine and no dependence
after intracerebroventricular (icv) infusion;[8] however, its therapeutic potential is compromised by its poor blood–brain
barrier (BBB) penetration.[13] UFP-505, on
the other hand, did give rise to the development of tolerance after
icv administration and displayed significant toxicity (G. Balboni,
personal communication). We have previously described a cyclic tetrapeptide
KSK-103 (1, Figure 1) that shows
an improved in vitro profile compared
with DIPPψNH2 and UFP-505; of the three ligands,
only 1 demonstrated equal high affinity for MOPr and
DOPr, much lower affinity for the κ opioid receptor (KOPr),
and high efficacy and potency at MOPr with no stimulation of DOPr.[14] However, like the previously reported ligands
and like most peptides, 1 has poor bioavailability.
Figure 1
Structure
of lead MOPr (ag)/DOPr (ant) peptide 1 (KSK103).
Structure
of lead MOPr (ag)/DOPr (ant) peptide 1 (KSK103).Several approaches have been developed
to increase stability and
peptide penetration of biological membranes.[15−17] In particular,
Polt and co-workers have shown that in many cases glycosylation of
opioid peptides affords improved metabolic stability and CNS activity
after peripheral administration.[17−21] We report here the observation that side chain glycosylation
of a C-terminal SerNH2 extension of 1 results
in a peptide that retains the desirable in vitro profile of 1 while displaying centrally mediated antinociception after
intraperitoneal (ip) administration. Further, the resulting glycosylated
peptide does not give rise to acute tolerance and thus represents
a lead toward the development of opioid analgesics with lessened side
effects.
Results
In Vitro Profile of Analogues of 1
Our
approach toward peptide glycosylation, following that of Polt and
co-workers, was via the side chain hydroxyl moiety of a serine residue.
Accordingly, we first examined the effect of C-terminal extension
of 1 with an unmodified serine residue to determine its
possible effect on the in vitro profile of the lead peptide. As presented
in Table 1, which summarizes opioid receptor
binding affinities and efficacies relative to standard full agonists
(the latter as stimulation of [35S]GTPγS binding),
compounds 2 and 3, the C-terminal Ser carboxylic
acid and carboxamide extension of 1, respectively, display
in vitro profiles generally analogous to that of 1: similar
MOPr and DOPr affinities, with reduced KOPr affinity; partial agonist
activity at MOPr but no stimulation of DOPr or KOPr. While 3 displayed lower maximum stimulation in the [35S]GTPγS
binding assay than compound 2 (17% vs 61% of control
DAMGO), its higher potency and binding affinity led us to choose 3 for glycosylation with β-d-glucose. As seen
in Table 1, the resulting glycosylated analogue, 4, exhibits a very similar in vitro profile to the original
lead peptide 1. The only significant difference is the
somewhat lower potency of 4 at MOPr (EC50 of
36.9 nM vs 4.7 nM). Like 1, 4 was confirmed
to be an antagonist at DOPr by examining its effect on stimulation
of [35S]GTPγS binding by the DOPr agonist DPDPE.
The Ke (equilibrium dissociation constant,
a measure of antagonist affinity) observed for 4 (6.1
nM, Table 1) is very similar to that previously
reported for 1 (4.4 nM).[14] The promising in vitro profile of 4 coupled with the
anticipated bioavailability improvement resulting from glycosylation
led us to examine the in vivo, antinociceptive activity of this analogue.
Table 1
Binding and Efficacy Results for 1 and
Analoguesa
Ki (nM)
sequence
MOPr
DOPr
KOPr
efficacy (% of control), MOPr
EC50 (nM), MOPr
efficacy (% of control), DOPr
Ke (nM), DOPr
efficacy (% of control), KOPr
1b
Dmt-c(SEtS)[DCys-Aci-DPen]OH
2.4 ± 0.7
2.3 ± 0.5
776 ± 149
59 ± 11
4.7 ± 0.7
dns
4.4 ± 1.4
dns
2
Dmt-c(SEtS)[DCys-Aic-DPen]SerOH
10.3 ± 2.3
4.5 ± 1.0
7100 ± 1260
61.4 ± 8.7
35.0 ± 12
dns
dns
3
Dmt-c(SEtS)[DCys-Aic-DPen]SerNH2
0.53 ± 0.07
0.93 ± 0.11
93.4 ± 1.4
17.3 ± 1.2
3.4 ± 1.0
dns
dns
4
Dmt-c(SEtS)[DCys-Aic-DPen]Ser(Glc)NH2
1.74 ± 0.2
2.43 ± 0.34
420 ± 25
41.3 ± 2.8
36.9 ± 8.4
dns
6.1 ± 1.5
dns
Binding affinities (Ki) were obtained by competitive displacement of radiolabeled
[3H]diprenorphine. Efficacy data were obtained using [35S]GTPγS binding assay. Efficacy is presented as percent
maximal stimulation relative to standard agonists DAMGO (MOPr), DPDPE
(DOPr), and U69,593 (KOPr) at 10 μM. DOPr equilibrium dissociation
constant, Ke, was determined to confirm
the antagonist activity of 1 and 4. All
values are expressed as the mean ± SEM of three separate assays
performed in duplicate. dns = does not stimulate.
From ref (14).
Binding affinities (Ki) were obtained by competitive displacement of radiolabeled
[3H]diprenorphine. Efficacy data were obtained using [35S]GTPγS binding assay. Efficacy is presented as percent
maximal stimulation relative to standard agonists DAMGO (MOPr), DPDPE
(DOPr), and U69,593 (KOPr) at 10 μM. DOPr equilibrium dissociation
constant, Ke, was determined to confirm
the antagonist activity of 1 and 4. All
values are expressed as the mean ± SEM of three separate assays
performed in duplicate. dns = does not stimulate.From ref (14).
In Vivo Antinociception
Activity of 4
The antinociceptive activity of 4 after ip administration
was assessed in the mouse warm water tail withdrawal (WWTW) assay.
The results are presented in Figure 2 as latency
to tail withdrawal. Figure 2 shows that 4 exhibits a dose dependent antinociceptive response, achieving
approximately 80% maximal effect (relative to the 20 s cutoff used)
at 10 mg/kg, the highest dose used in this experiment. The time course
for the antinociceptive action of 4 was examined at a
higher dose of 32 mg/kg, as shown in Figure 3. As seen there, 4 displays a maximal antinociceptive
effect between approximately 30 and 60 min after administration. The
effect then diminishes, approaching baseline after 150 min. By comparison,
morphine displays similar antinociceptive potency, with an approximately
2-fold longer duration of action.[11] Figure 4 shows that the observed antinociceptive effect
of 4 is mediated by opioid receptors; pretreatment with
the nonselective opioid antagonist naltrexone (3.2 mg/kg, ip) completely
blocks antinociception by 10 mg/kg 4.
Figure 2
Antinociception as a
function of dose observed for 4 in mouse warm water tail
withdrawal assay following ip administration.
Figure 3
Antinociception (mouse WWTW assay) time course following 32 mg/kg
ip dose of 4.
Figure 4
Latency to tail withdrawal observed for 4 (10 mg/kg,
ip) with (right) and without (left) pretreatment with the opioid antagonist
naltrexone.
Antinociception as a
function of dose observed for 4 in mouse warm water tail
withdrawal assay following ip administration.Antinociception (mouse WWTW assay) time course following 32 mg/kg
ip dose of 4.Latency to tail withdrawal observed for 4 (10 mg/kg,
ip) with (right) and without (left) pretreatment with the opioid antagonist
naltrexone.We next examined whether
acute tolerance develops to the antinociceptive
effect of 4. For these experiments, mice were treated
with a single dose of compound (either 4 or fentanyl),
and when these initial antinociceptive effects dissipated, a second
dose of compound was given to determine if previous exposure to each
compound produced acute tolerance to the antinociceptive effects.
The left-hand side of Figure 5 compares the
antinociceptive time course after ip administration of 10 mg/kg 4 to that of vehicle. As seen in Figure 5, at this dose 4 reaches its maximum effect after 30
min, then diminishes to baseline at t = 90 min. By
contrast no antinociception is observed in the vehicle treated mice.
At t = 90 min both groups of mice were treated with
10 mg/kg 4, ip, and monitoring of the antinociceptive
time course continued (right side of Figure 5). For this latter half of the experiment no difference was observed
in the antinociceptive effects between mice previously treated with 4 or vehicle; therefore, previous exposure to 4 failed to produce acute tolerance. This was quantified by measuring
the area under the curve (AUC) of the antinociceptive effects of 10
mg/kg 4 at t = 90 min (vehicle-treated
AUC of 718 (±100) vs 4 AUC of 740 (±114)).
No significant difference was observed in the antinociceptive effects
of 4 in vehicle-pretreated and 4-pretreated
mice (t = 0.14, p = 0.89). This
is in contrast to the results observed for the potent MOPr agonist
fentanyl, shown in Figure 6. The left side
of Figure 6 compares the antinociceptive time
course following ip administration of 0.3 mg/kg fentanyl (a dose determined
to be equiefficacious to 10 mg/kg 4) to that of vehicle-treated
mice. The time course observed for fentanyl was quite similar to that
of 4 (Figure 5). After the antinociceptive
effect of fentanyl had returned to baseline, both groups were then
injected with 0.3 mg/kg fentanyl (right side of Figure 6). In contrast to the behavior displayed by 4, acute tolerance to fentanyl is clearly observed; the antinociception
observed in the previously fentanyl treated group was greatly attenuated
(by ∼50%) compared with the vehicle-pretreated mice. Acute
tolerance was quantified by measuring AUC of the antinociceptive effects
of 0.3 mg/kg fentanyl measured at t = 120 min (vehicle-treated
AUC of 740 (±182) vs fentanyl-pretreated AUC of 236 (±66)).
The antinociceptive effects of fentanyl were smaller in magnitude
and/or shorter in duration as measured in fentanyl-pretreated mice
compared with drug-naive mice (t = 2.6, p = 0.04).
Figure 5
Determination of acute tolerance to antinociceptive effect (mouse
WWTW assay) of 4. Mice were treated with 10 mg/kg 4 (closed squares) or saline (open circles), and the time
course of the antinociceptive response was determined. At t = 90 min (indicated by dashed vertical line) both groups
of mice were injected with 10 mg/kg 4 and antinociceptive
response was again examined.
Figure 6
Determination of acute tolerance to antinociceptive effect (mouse
WWTW assay) of fentanyl. Mice were treated with 0.3 mg/kg fentanyl
(closed squares) or saline (open circles), and the time course of
the antinociceptive response was determined. At t = 120 min (indicated by dashed vertical line) both groups of mice
were injected with 0.3 mg/kg fentanyl, and antinociceptive response
was again examined.
Determination of acute tolerance to antinociceptive effect (mouse
WWTW assay) of 4. Mice were treated with 10 mg/kg 4 (closed squares) or saline (open circles), and the time
course of the antinociceptive response was determined. At t = 90 min (indicated by dashed vertical line) both groups
of mice were injected with 10 mg/kg 4 and antinociceptive
response was again examined.Determination of acute tolerance to antinociceptive effect (mouse
WWTW assay) of fentanyl. Mice were treated with 0.3 mg/kg fentanyl
(closed squares) or saline (open circles), and the time course of
the antinociceptive response was determined. At t = 120 min (indicated by dashed vertical line) both groups of mice
were injected with 0.3 mg/kg fentanyl, and antinociceptive response
was again examined.
Discussion
Although
compound 1 displays an ideal MOPr (ag)/DOPr
(ant) in vitro profile, like many peptides, it has poor bioavailability.
The challenge then was to modify 1 in such a way that
its desirable in vitro profile was maintained while its bioavailability
was significantly improved. Our earlier proposed models for the docking
of 1 to MOPr and DOPr[14] suggested
that C-terminal elongation would not signficantly affect binding to
MOPr and DOPr, as the C-terminus points out toward solvent. Further,
early work by Roques and colleagues had shown that extension of pentapeptide
enkephalin analogues by a Ser or Thr residue maintained opioid binding
character,[22] and Polt and co-workers demonstrated
that glycosylation of these Ser- and Thr-extended opioids could greatly
improve bioavailability without jeopardizing the in vitro profile
of the parent peptide.[18] Thus, the observation
that C-terminal extension of 1 by Ser (2 and 3) and subsequent glycosylation (4) had only modest effect on the in vitro activity was expected.The in vivo antinociceptive activity of 4 further
demonstrates the utility of peptide glycosylation. As seen in Figures 2 and 3, 4 displays
effective antinociception after ip injection with a potency similar
to that of morphine and with approximately half of morphine’s
duration of action.[11] Most significant
is the finding (Figure 5) that acute tolerance
to 4 was not observed, in contrast with the results seen
for fentanyl (Figure 6), a widely used opiate
analgesic with a similar duration of action. Acute tolerance observed
with fentanyl in the present study is likely to be due to reversible
changes at the receptor level,[23] such as
desensitization and internalization, compared to the more permanent
events occurring after chronic administration. The role of acute processes
in long-term tolerance is not confirmed, although morphine tolerance
does appear to be associated with desensitization of the MOPr.[24] If this holds true, the present results imply
that the beneficial effects of the δ antagonist component of
MOPr (ag)/DOPr (ant) compounds are effective early in the process
of tolerance development. These results suggest that 4, or a related analogue with MOPr (ag)/DOPr (ant) activity, may be
effective clinically as a safer opioid analgesic. Follow-up studies
assessing the development of chronic tolerance and dependence after
prolonged administration of 4 are in progress.
Experimental Section
Chemistry
All
reagents and solvents were purchased
from commercial sources (Sigma Aldrich (St. Louis, MO) or Fisher Scientific
(Hudson, NH), unless otherwise noted) and used without further purification.
Peptide synthesis reagents, amino acids, and Rink resin were purchased
from Advanced Chem Tech (Louisville, KY) except for Fmoc-2-aminoindan-2-carboxylic
acid (Aic), which was purchased from Chem Impex (Wood Dale, IL). Wang
resins were purchased from Nova Biochem, EMD (Gibbstown, NJ). Fmoc-Ser-(β-Glc(Ac)4)-OH (the glycosylated serine building block) was synthesized
using microwave accelerated glycosylation of Fmoc-Ser-OBn with β-glucose
peracetate and indium(III) bromide as the promoter, followed by the
removal of the benzyl protecting group via hydrogenolysis, according
to previously published protocols and confirmed by NMR and LCMS.[25]
Peptide Synthesis
Peptides were
synthesized on solid
support (0.2 mM scale on a resin with a substitution ∼0.6 mmol/g),
using fluorenylmethyloxycarbonyl (Fmoc) chemistry on a
Discover S class CEM microwave using Synergy software. Deprotection
of the Fmoc protecting group was performed using either a 20% solution
(v/v) of piperidine in N-methyl-2-pyrrolidone (NMP)
or 5% piperazine in 0.1 M HOBt-Cl in NMP. Double coupling was performed
for the addition of each amino acid: using the microwave for the first
coupling and at room temperature for 3 h on a Labmate shaker (Advanced
ChemTech, Louisville, KY) for the second coupling, with 3 equiv of
the protected amino acid, 0.4 M O-(7-azabenzotriazol-1-yl)-N,N,N′-N′-tetramethyluronium hexafluorophosphate (HATU)
and 1-hydroxy-7-azabenzotriazole (HOAt) in dimethylformamide (DMF),
and either 1 M diisopropylethylamine (DIEA) in NMP or neat collidine.After each double coupling the resin was washed three times with
NMP. Following the double coupling, unreacted amino groups were acetylated
in the microwave (under the same conditions as for coupling) using
a solution of 0.5 M acetic anhydride, 0.125 M DIEA, and 0.015 M HOBT-Cl
in NMP. After the removal of the final Fmoc group, the resin was washed
three times with NMP, then three times with methylene chloride (DCM)
and dried under vacuum.All peptides were cleaved from the resin
and side chain protecting
groups removed by treatment at room temperature for 2 h with a cleavage
cocktail consisting of 9.5 mL of trifluoroacetic (TFA) acid, 0.25
mL of water, and 0.25 mL of triisopropylsilane (TIS) and filtered
to remove the resin. The filtrate was concentrated in vacuo, and peptides
were precipitated using cold diethyl ether. The filtered crude material
was then purified using a Waters semipreparative HPLC (Waters Corporation,
Milford, MA) with a Vydac protein and peptide C18 column (10 μm
particle size, 10 mm × 150 mm), using a linear gradient of 10%
solvent B (0.1% TFA acid in acetonitrile) in solvent A (0.1% TFA acid
in water) to 60% solvent B in solvent A, at a rate of 1% per minute
(flow rate 10 mL/min). The molecular weight of all peptides was confirmed
using ESI-MS performed on an Agilent Technologies LCMS system using
a 1200 series LC instrument and 6130 quadrupole LCMS instrument (Agilent
Technologies, Santa Clara, CA). The purity of all peptides was determined
using a Waters Alliance 2690 analytical HPLC system (Waters Corporation,
Milford, MA) and Vydac protein and peptide C18 reverse phase column
(5 μm particle size, 5 mm × 220 mm), using a linear gradient
of 0–70% solvent B in solvent A at a rate of 1% per minute,
with a flow rate of 1 mL/min. Linear peptides were at least 95% pure
as determined by HPLC monitored at 230 nm.
Dithioether Cyclization
of Linear Peptides
A DMF solution
of the linear peptide (15 mg/40 mL) containing 5 mol equiv of 1,2-dibromoethane
was added dropwise to a round-bottom flask containing 10 mol equiv
of potassium tert-butoxide in 100 mL of anhydrous
DMF saturated with argon, on ice. The mixture was stirred for 2 h
under argon, on ice, and then quenched to pH 3.5 with glacial acetic
acid. Solvents were removed in vacuo, and the crude cyclized peptides
were purified using the same conditions as for linear precursors.
All final peptides were at least 98% pure as measured by HPLC monitored
at 230 nm, and their molecular weights were confirmed by ESI-MS.
Synthesis of 2, Dmt-c(SEtS)[DCys-Aci-DPen]SerOH
Compound 2 was synthesized on a 0.2 mmol scale starting
with the Ser(t-Bu)OH-preloaded Wang resin at ∼0.8
mmol/g substitution. The synthesis proceeded with double coupling
for each amino acid as described above. To avoid racemization, collidine
was used as the base for the couplings and piperazine for Fmoc deprotection
for d-Pen and d-Cys; for all other amino acids DIEA
and piperidine were used as the base for the couplings and Fmoc deprotection,
respectively. The resulting linear peptide was cleaved from the resin,
purified by HPLC, cyclized and repurified by HPLC, as described above.
Synthesis of 3, Dmt-c(SEtS)[DCys-Aci-DPen]SerNH2
Compound 3 was synthesized following
the same protocol used for the synthesis of 2 but employing
a Rink resin, not preloaded, ∼0.6 mmol/g substitution.
Synthesis
of 4, Dmt-c(SEtS)[DCys-Aci-DPen]Ser(Glc)NH2
Compound 4 was synthesized following
the same protocol as for the synthesis of 3; however,
the acetates protecting the carbohydrate were removed prior to peptide
cleavage from the resin. Acetate removal was effected by treating
the peptide-resin twice with 80% hydrazine monohydrate in methanol
with stirring under a stream of nitrogen for 30 min and then for another
hour using fresh hydrazine solution, following previously reported
protocols.[26]
Pharmacology
All
tissue culture reagents were purchased
from Gibco Life Sciences (Grand Island, NY, USA). Radioactive compounds
were purchased from Perkin-Elmer (Waltham, MA, USA).
Cell Lines
and Membrane Preparations
C6-ratglioma
cells stably transfected with a rat μ (C6-MOPr) or rat δ
(C6-DOPr) opioid receptor[27] and Chinese
hamster ovary (CHO) cells stably expressing a human κ (CHO-KOPr)
opioid receptor[28] were used for all in
vitro assays. Cells were cultured and membranes prepared as previously
described.[29]
Radioligand Binding Assays
Radioligand binding assays
were performed as previously described.[29] In brief, assays were performed using competitive displacement of
0.2 nM [3H]diprenorphine (250 μCi, 1.85 TBq/mmol)
by the test compound from membrane preparations containing opioid
receptors. The assay mixture, containing membrane suspension (20 μg
of protein/well) in 50 mM Tris-HCl buffer (pH 7.4), [3H]diprenorphine,
and various concentrations of test peptide, was incubated at room
temperature for 1 h to allow binding to reach equilibrium. The samples
were filtered through Whatman GF/C filters and washed three times
with cold 50 mM Tris-HCl buffer (pH 7.4). The radioactivity retained
on dried filters was determined by liquid scintillation counting after
saturation with EcoLume liquid scintillation cocktail in a Wallac
1450 MicroBeta (Perkin-Elmer, Waltham MA, USA). Nonspecific binding
was determined using 10 μM naloxone. Ki values were calculated using nonlinear regression analysis
to fit a logistic equation to the competition data using GraphPad
Prism, version 5.01, for Windows. The results presented are the mean
± standard error from at least three separate assays performed
in duplicate.
Stimulation of [35S]GTPγS
Binding
Agonist stimulation of [35S]guanosine
5′-O-[γ-thio]triphosphate ([35S]GTPγS,
1250 Ci, 46.2 TBq/mmol) binding was measured as described previously.[30] Briefly, membranes (10–20 μg of
protein/well) were incubated for 1 h at room temperature in GTPγS
buffer (50 mM Tris-HCl, 100 mM NaCl, 5 mM MgCl2, pH 7.4)
containing 0.1 nM [35S]GTPγS, 30 μM guanosine
diphosphate (GDP), and varying concentrations of test peptides. Peptide
stimulation of [35S]GTPγS was compared with 10 μM
standard compounds [d-Ala2,N-MePhe4,Gly-ol]enkephalin (DAMGO) at MOPr, d-Pen2,5-enkephalin (DPDPE) at DOPr, or U69,593 at KOPr. The reaction was
terminated by rapidly filtering through GF/C filters and washing 10
times with cold GTPγS buffer. Retained radioactivity was measured
as described above. The results are presented as the mean ± standard
error from at least three separate assays performed in duplicate;
maximal stimulation and EC50 values were determined using
nonlinear regression analysis with GraphPad Prism, version 5.01, for
Windows. Antagonist affinities for peptides 1 and 4 at DOPr were determined
as Ke values using a single concentration
of test peptide according to the formula
Animals
Adult male and female C57BL/6 mice (bred in-house)
weighing between 20 and 35 g at 8–16 weeks old were used for
the current experiments. Mice were group-housed and had free access
to food and water at all times. Experiments were conducted in the
housing room, which was maintained on a 12 h light/dark cycle (with
lights on at 0700). Each mouse was used only once, and experiments
were conducted between 10 a.m. and 4 p.m. Studies were performed in
accordance with the University of Michigan Committee on the Use and
Care of Animals and the Guide for the Care and Use of Laboratory Animals
(National Research Council, 2011 publication).
Antinociception
All compounds were dissolved in sterile
saline and administered by ip injection in a volume of 10 mL/kg body
weight. Antinociceptive effects were evaluated in the warm water tail
withdrawal (WWTW) assay. Tail withdrawal latencies were determined
by briefly placing a mouse into a plastic, cylindrical restrainer
and putting 2–3 cm of the tail tip into a water bath maintained
at 50 °C. The latency to withdraw the tail from the water or
rapidly flick the tail back and forth was recorded with a maximum
cutoff time of 20 s. If the mouse did not remove its tail by the cutoff
time, the experimenter removed its tail from the water to prevent
tissue damage.Acute antinociceptive effects were determined
using a cumulative dosing procedure. Each animal received an injection
of saline ip, and then 30 min later, baseline withdrawal latencies
(3–6 s) were recorded. Following baseline determinations, increasing,
cumulative doses of the test compound were given ip at 30 min intervals.
At 30 min after each injection, the tail withdrawal latency was measured
as described above. To evaluate the time course of the antinociceptive
effects of 4, a single injection of 32 mg/kg 4 was administered ip after baseline measurements and tail withdrawal
latencies were evaluated at 15, 30, 45, 60, 90, 120, and 150 min after
injection. For antagonism studies, a pretreatment of saline or 3.2
mg/kg naltrexone was administered 30 min before 10 mg/kg 4 and withdrawal latencies were measured 30 min after the pretreatment
and 30 min after the injection of 4.For acute
tolerance studies, separate groups of mice were treated
(ip) with saline, 10 mg/kg 4, or 0.3 mg/kg fentanyl after
baseline withdrawal latency was determined, and the time course of
these initial antinociceptive effects was measured at 15, 30, 45,
60, and 90 min (and at 120 min in fentanyl-treated mice) after injection.
Fentanyl was selected as a positive control because it was determined
that 0.3 mg/kg fentanyl had a similar effect and duration of action
compared with 4 in preliminary studies. At 90–120
min after the initial injection, all mice were injected with 10 mg/kg 4 or 0.3 mg/kg fentanyl, and withdrawal latencies were measured
15, 30, 60, and 90 min after injection. Tolerance was evaluated by
comparing the antinociceptive effects of 4 or fentanyl
in drug-naive versus drug-treated mice. For statistical comparisons,
the AUC over baseline withdrawal latency for the antinociceptive effects
of 4 or fentanyl was calculated for each mouse and AUCs
were averaged within treatment group. Unpaired Student’s t tests were performed to determine if the AUCs were statistically
different in drug-naive versus drug-treated mice (GraphPad Prism,
La Jolla, CA).
Authors: Henry I Mosberg; Larisa Yeomans; Aubrie A Harland; Aaron M Bender; Katarzyna Sobczyk-Kojiro; Jessica P Anand; Mary J Clark; Emily M Jutkiewicz; John R Traynor Journal: J Med Chem Date: 2013-02-27 Impact factor: 7.446
Authors: Anne-Cécile Hiebel; Yong Sok Lee; Edward Bilsky; Denise Giuvelis; Jeffrey R Deschamps; Damon A Parrish; Mario D Aceto; Everette L May; Louis S Harris; Andrew Coop; Christina M Dersch; John S Partilla; Richard B Rothman; Kejun Cheng; Arthur E Jacobson; Kenner C Rice Journal: J Med Chem Date: 2007-07-11 Impact factor: 7.446
Authors: Nura O Elmagbari; Richard D Egleton; Michael M Palian; John J Lowery; Wendi R Schmid; Peg Davis; Edita Navratilova; Muthu Dhanasekaran; Charles M Keyari; Henry I Yamamura; Frank Porreca; Victor J Hruby; Robin Polt; Edward J Bilsky Journal: J Pharmacol Exp Ther Date: 2004-05-27 Impact factor: 4.030
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