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CARDIOVASCULAR

Pharmacological Characterization of Novel -Calcitonin Gene-Related Peptide (CGRP) Receptor Peptide Antagonists That Are Selective for Human CGRP Receptors

Departments of Pharmacology (C.K.T., P.W.A.) and Biomedical Sciences (D.D.S.), School of Medicine and Department of Chemistry (M.H.), College of Arts and Sciences, Creighton University, Omaha, Nebraska

Received May 23, 2006; accepted July 19, 2006.

	Abstract

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Human -calcitonin gene-related peptide (CGRP) is a 37-residue neuropeptide that produces a variety of cardiovascular and other effects via activation of specific CGRP receptors that produce cAMP. Functional CGRP receptors are a heterodimeric complex composed of the heptahelical calcitonin receptor-like receptor and the single transmembrane receptor activity-modifying protein 1. Based on the known structures of the antagonist CGRP_(8–37) and the human CGRP receptor, we designed novel CGRP receptor peptide antagonists with modifications to promote high affinity and selectivity for human CGRP receptors. Antagonist affinity (K_B) at CGRP receptors was determined using the mouse thoracic aorta and human SK-N-MC cells. In aorta, CGRP_(8–37), [N--benzoyl]human -CGRP_(8–37) [bzl-CGRP_(8–37)], and [N--benzoyl-His¹⁰-benzyl]human -CGRP_(8–37) [bzl-bn-CGRP_(8–37)] caused rightward shifts in the concentration-response relaxation curve for CGRP with K_B values of 1000, 88, and 50 nM, respectively. In human SK-N-MC cells, CGRP_(8–37), bzl-CGRP_(8–37), and bzl-bn-CGRP_(8–37) caused rightward shifts in the concentration-response curve for CGRP-stimulated cAMP production with K_B values of 797, 15, and 0.63 nM, respectively. Thus, CGRP_(8–37) had the same affinity for human and mouse CGRP receptors, whereas bzl-CGRP_(8–37) and bzl-bn-CGRP_(8–37) displayed 6- and 80-fold higher affinities, respectively, for human CGRP receptors. In addition, the selectivity of the antagonists for human CGRP receptors was highly correlated with the antagonist hydrophobicity index. These relatively high-affinity, species-selective peptide antagonists provide novel tools to differentiate structural and functional features that are unique to the human CGRP receptor. Thus, these analogs may be useful compounds for development of drugs to treat migraine headache and other cardiovascular diseases.

The exact mechanism of how the CGRP receptor, composed of CL and RAMP1, binds CGRP and/or CGRP antagonists is unknown. It has been proposed that the extracellular domain of RAMP1 may participate directly in ligand binding or act indirectly to modulate the ligand binding conformation of CL (Hilairet et al., 2001). The affinity of nonpeptide antagonists for CGRP receptors has been shown to be modulated by amino acid residues residing in the extracellular domain of RAMP1, which provides evidence that RAMP1 participates directly in antagonist binding (Mallee et al., 2002). Based on the amino acid composition and analysis of hydropathy plots of CL and RAMP1, we hypothesized that RAMP1 forms a hydrophobic binding pocket with CL. The mouse CL shares 90% amino acid residues with human CL (Miyauchi et al., 2002). In contrast, mouse RAMP1 shares only 71% amino acid residues with human RAMP1 (Husmann et al., 2000), and most of the amino acid sequence dissimilarity resides in the extracellular domain of RAMP1. Furthermore, hydropathy plots of human and mouse RAMP1 are markedly different in the N terminus of the extracellular domain and indicate that human RAMP1 is more hydrophobic. Based on amino acid hydrophobicity differences between human and mouse RAMP1, we designed and synthesized a novel competitive antagonist, N--benzoyl-[His(4-benzyl)¹⁰]human -CGRP_(8–37) [bzl-bn-CGRP_(8–37)]. This antagonist was designed to favor interaction with human RAMP1 by hydrophobic modifications we predicted would confer species selectivity due to the more hydrophobic amino acid composition of human RAMP1.

Knockout mice and other mouse assays are gaining increasing importance as model systems to understand human cardiovascular functions. Therefore, we characterized the standard CGRP receptor antagonist CGRP_(8–37), our previously reported high-affinity competitive antagonist [N--benzoyl]human -CGRP_(8–37) [bzl-CGRP_(8–37)] (Smith et al., 2003) and the new antagonist, bzl-bn-CGRP_(8–37) at mouse CGRP receptors, using the mouse thoracic aorta, and at human CGRP receptors, using the human SK-N-MC cell line. Comparison of antagonist affinities showed that bzl-bn-CGRP_(8–37) is a relatively high-affinity competitive antagonist that is selective for human compared with mouse CGRP receptors. Correlations between antagonist affinities and the hydrophobicity index of these antagonists suggest that hydrophobicity of the antagonist is a key factor in human CGRP receptor selectivity. This study may facilitate the design of high-affinity human selective CGRP receptor antagonists for treatment of cardiovascular and other diseases.

	Materials and Methods

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Drugs and Chemicals. CGRP_(8–37), bzl-CGRP_(8–37), and bzl-bn-CGRP_(8–37) were synthesized as described below. CGRP, N--tert-butyloxycarbonyl (Boc) amino acids and para-methylbenzhydrylamine resin were purchased from Bachem California (Torrance, CA). Norepinephrine bitartrate, isoproterenol bitartrate, forskolin, and Sigmacote were purchased from Sigma-Aldrich (St. Louis, MO). Isobutylmethylxanthine was purchased from EMD Biosciences (San Diego, CA). Trifluoroacetic acid and other solvents and chemicals were purchased from Fisher Scientific Co. (Pittsburgh, PA). Dulbecco's modified Eagle's medium, fetal bovine serum, and antibiotic/antimycotic (containing 10,000 units/ml penicillin G, 10,000 µg/ml streptomycin sulfate, and 25 µg/ml amphotericin B) were purchased from Invitrogen (Carlsbad, CA).

Hydropathy Analysis of Human and Mouse CL and RAMP1 Proteins. Hydropathy analysis of human and mouse CL and RAMP1 proteins was carried out according to the Kyte-Doolittle method (window length 19) by use of the Protein Identification and Analysis Tool, ProtScale, on the Expert Protein Analysis System (ExPASy) server (Gasteiger et al., 2003, 2005). The calculated hydropathy score was used to determine the hydrophobicity of the RAMP1 proteins.

Solid-Phase Peptide Synthesis, Purification, and Characterization. Peptides were synthesized by Merrifield's solid-phase methods using in situ neutralization (Schnolzer et al., 1992) using Boc amino acids and para-methylbenzhydrylamine resin. Details of peptide synthesis are provided in previous publications (Smith et al., 2003; Taylor et al., 2005). Peptides were purified to >98% by semipreparative reversed-phase high-performance liquid chromatography (RP-HPLC) on a Vydac 218TP510 C₁₈ column (1 x 25 cm) from the Separations Group (Hesperia, CA). Analytical RP-HPLC was performed on a Vydac 218TP5415 C₁₈ column (0.46 x 15 cm). All peptides were structurally characterized by amino acid analysis and electrospray-ionization mass spectrometry (ESI-MS). Amino acid analyses were performed using an AccQTag system from Waters (Milford, MA) after samples were hydrolyzed in constant boiling 6 M HCl at 110°C for 24 h. ESI-MS was performed on an API150EX instrument from PE-SCIEX (Foster City, CA).

CGRP_(8–37) and bzl-CGRP_(8–37) were synthesized and purified as described previously (Smith et al., 2003; Taylor et al., 2005). Synthesis of bzl-bn-CGRP_(8–37) was carried out manually in a 30-ml glass reaction vessel on a 0.5-mmol scale. A portion of the fully protected peptide-resin (100 mg, 0.02 mmol) was benzylated and then benzoylated as described previously (Smith et al., 2003). The peptide was cleaved from the resin, and the crude product was loaded onto a C₁₈ RP-HPLC column. The product was eluted, and fractions containing the desired product were identified by analytical RP-HPLC, pooled, and lyophilized to yield 4 mg (6%) as a fluffy white powder.

Hydrophobicity Index. Quantitation of the hydrophobicity of each peptide was determined by the retention time of the peptide on an RP-HPLC column. The hydrophobicity index was measured using three different RP-HPLC columns: column 1 was a Vydac C₁₈ monomeric 238TP54 column (0.46 x 25 cm), column 2 was a Waters Symmetry C₁₈ 300 Å column (0.46 x 25 cm), and column 3 was a Kromasil C₈ column (0.46 x 25 cm). Peptides were isocratically eluted with 0.1% TFA in water/acetonitrile 69/31 (v/v) at a flow rate of 1 ml/min and detected at 214 nm. The hydrophobicity index was calculated for each peptide by the formula, hydrophobicity index = (t_R – t₀)/t₀, where t_R is the retention time of the peptide and t₀ is the retention time of unretained material.

Measurement of Thoracic Aorta Relaxation. Male albino mice (CF1, 25–35 g) were obtained from Charles River Laboratories, Inc. (Wilmington, MA). Mice were euthanized using CO₂, and thoracic aortas were removed and placed in Krebs' solution (118 mM NaCl, 4.7 mM KCl, 2.5 mM CaCl₂, 1.2 mM KH₂PO₄, 1.2 mM MgSO₄, 25 mM NaHCO₃, 11.1 mM dextrose, and 0.029 mM Na₂Ca EDTA; pH 7.4). The aorta was cleaned of adhering connective tissue, endothelium was removed by gentle rubbing of the vessel lumen, and the aorta was cut into 3-mm long ring segments. Ring segments were mounted between two stainless steel pins passed through the vessel lumen and placed in water-jacketed organ baths maintained at 37°C, which contained Krebs' solution gassed with 95% O₂/5% CO₂, pH 7.4. The glass organ baths were coated with Sigmacote to reduce the binding of peptides to the glass surfaces. One pin was attached to a Grass FT.03 isometric force transducer (Grass Instruments, Quincy, MA) for measurement of isometric tension while the other pin was held in a fixed position. Ring segments were equilibrated in Krebs' solution for 30 min at a resting tension of 300 mg, contracted with 60 mM KCl followed by KCl washout and a 30-min equilibration period. Ring segments were contracted a second time with 60 mM KCl and the absence of endothelium was assessed by lack of relaxation caused by 1 µM of the endothelium-dependent vasodilator acetylcholine. The ring segments were then thoroughly washed for 30 min with Krebs' solution.

CGRP analogs were tested for both agonist and antagonist activity. For agonist studies, analogs were tested for their ability to change resting tone and to alter the tone of aortic ring segments precontracted to a stable level of tone with 1 µM norepinephrine. For antagonist studies, aortic ring segments were contracted with 1 µM norepinephrine for 20 min to obtain a stable amount of contractile tone (423 ± 44 mg) and cumulative CGRP concentration-response relaxation curves were obtained. Ring segments were then incubated with CGRP_(8–37), bzl-CGRP_(8–37), or bzl-bn-CGRP_(8–37) for 60 min, contracted with 1 µM norepinephrine and cumulative CGRP concentration-response relaxation curves were repeated. Thus, two relaxant concentration-response curves to CGRP were generated in each aortic ring, a CGRP control, and CGRP in the presence of antagonist. The spontaneous decline in tension of aortic rings contracted with norepinephrine averaged 12 ± 3% during the time course of CGRP relaxation experiments. To test for nonspecific effects and receptor specificity of the antagonism, the same analog treatment protocol described above was used except that isoproterenol, rather than CGRP, was used as the relaxant agonist.

Measurement of cAMP Production. SK-N-MC cells were seeded and grown to confluence in CellStar 24-well plates (Greiner Bio-One, Longwood, FL) in Dulbecco's modified Eagle's medium supplemented with fetal bovine serum (10%), penicillin G (100 units/ml), streptomycin (100 µg/ml), and amphotericin B (0.25 µg/ml). Dulbecco's modified Eagle's medium culture media was removed, and the cells were washed three times with 200 µl of HEPES-Krebs' buffer (110 mM NaCl, 4.7 mM KCl, 2.5 mM CaCl₂, 1.3 mM KH₂PO₄, 1.2 mM MgSO₄, 15 mM NaHCO₃, 11.1 mM dextrose, 12.4 mM HEPES acid, 7.5 mM HEPES-Na, 0.5 mM isobutylmethylxanthine; pH 7.4). HEPES-Krebs' buffer (900 µl) was added to each well, and the plates were incubated for 10 min in a humidified atmosphere at 37°C. CGRP, forskolin, or isoproterenol was added to various wells, and the plates were incubated for 30 min in a humidified atmosphere (95% air/5% CO₂) at 37°C. The cells were then lysed by addition of 150 µl of 95% ethanol, and the cell lysate was dried in an oven at 40°C. cAMP production was measured by radioassay according to the manufacturer's protocol (Diagnostics Products Corporation, Los Angeles, CA). Radioactivity was measured using a Beckman LS 6000IS scintillation counter (Beckman Coulter, Inc., Fullerton, CA).

To test for agonist activity, the CGRP analogs alone were added to wells for 15 min. To generate CGRP concentration-response curves, different concentrations of CGRP were added to various wells. To test for antagonist activity, other wells were incubated with a single concentration of CGRP_(8–37), bzl-CGRP_(8–37), or bzl-bn-CGRP_(8–37) for 15 min, followed by addition of various concentrations of CGRP. After drug treatments, the plates were incubated for 30 min in a humidified atmosphere at 37°C and cAMP production measured. To test for nonspecific effects and receptor specificity of the antagonism, the same treatment protocol described above was used except that either 0.3 µM forskolin or 3 nM isoproterenol, rather than CGRP, was used to stimulate cAMP production.

Calculation of Equilibrium Dissociation Constants and Data Analysis. pA₂ values for CGRP_(8–37), bzl-CGRP_(8–37), and bzl-bn-CGRP_(8–37) were determined as described by Arunlakshana and Schild (1959). In mouse aorta, three adjacent ring segments from each animal were treated with different concentrations of CGRP_(8–37), bzl-CGRP_(8–37), or bzl-bn-CGRP_(8–37). In separate experiments using different groups of SK-N-MC cells, cells were treated with different concentrations of bzl-bn-CGRP_(8–37). For each concentration of antagonist used, dose ratios were calculated as the EC₅₀ value of CGRP in the presence of antagonist divided by the EC₅₀ value of CGRP in the absence of antagonist. EC₅₀ values were calculated using all points on the relaxation or cAMP production concentration-response curves using least sum of squares nonlinear regression curve fitting with GraphPad Prism 4.0 (GraphPad Software Inc., San Diego, CA). Schild plots were constructed by plotting log dose ratio – 1 versus the log of the antagonist concentration. Linear regression of the plotted points was used to determine the x-intercept (pA₂). In other experiments, K_B values for antagonists were determined using a single concentration of antagonist from the following equation: log K_B = log [antagonist] – log (dose ratio – 1). Individual pA₂ or pK_B values were averaged and compared statistically as log values. For convenience, they are listed in the text and table as arithmetic mean values ± S.E.M. after conversion to their antilogs.

Differences in maximal force generated by norepinephrine, isoproterenol EC₅₀ values, and basal, forskolin-stimulated, and isoproterenol-stimulated cAMP production in the absence and presence of bzl-bn-CGRP_(8–37) were compared using a Student's t test with a p < 0.05 level of probability accepted as a significant difference. Differences in antagonist affinity values (mean K_B values and mean pA₂ values) within an assay and between assays were determined using analysis of variance followed by a Bonferroni post-test with a p < 0.05 level of probability accepted as a significant difference. The slopes of the Schild regressions were analyzed for departure from linearity using analysis of variance followed by a Dunnett's post-test with a p < 0.05 level of probability accepted as a significant difference from a slope of 1.

Correlation plots were constructed to compare antagonist affinities (pK_B) in the mouse aorta, antagonist affinities (pK_B) in human SK-N-MC cells and antagonist hydrophobicity. These data are expressed as the means of individual log values or their reciprocals ± 95% confidence interval. The antagonist hydrophobicity index was determined using three different RP-HPLC systems.

	Results

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Hydropathy Analysis of Human and Mouse CL and RAMP1 Proteins. Using ProtScale on the ExPASy server, we constructed hydropathy plots to compare hydrophobicity between human and mouse CL and between human and mouse RAMP1. The human and mouse CL share high amino acid sequence identity (90%) and as illustrated by the hydropathy plot (Fig. 1A) are nearly identical in their hydrophobicity. In contrast, human and mouse RAMP1 share only 71% amino acid sequence identity, and most of the nonconserved amino acids reside in the extracellular domain. The hydrophobicity of the transmembrane and intracellular domains of RAMP1 is nearly identical, whereas the extracellular domains are markedly different as illustrated by the hydropathy plot (Fig. 1B). Analysis of the hydrophobicity of human and mouse RAMP1 revealed that the extracellular domain of human RAMP1 is 62% more hydrophobic than mouse RAMP1. Furthermore, most of the increased hydrophobicity occurred in the extreme N terminus of the extracellular domain of human RAMP1.

View larger version (30K): [in this window] [in a new window]   Fig. 1. Hydropathy plot overlays of predicted human and mouse CL (A) and RAMP1 (B) amino acid sequences. The regions of the hydropathy plots on the left represent the extracellular N terminus and the labeled segments on the right represent the transmembrane (TM) domains and intracellular C terminus. The hydropathy plot of human and mouse CL are nearly identical, whereas the hydropathy plot of human and mouse RAMP1 are markedly different, particularly at the end of the N terminus of the extracellular domain. The region that is more hydrophobic in human RAMP1, in which hydrophobic peptide antagonists are proposed to interact, is labeled Human > Mouse. The region more hydrophobic in the mouse and in which nonpeptide antagonists interact is labeled Mouse > Human, amino acids 66–112, and position 74. Hydropathy plots were drawn with the Kyte-Doolittle method by use of ProtScale on the ExPASy server. y-Axis positive numbers indicate calculated hydrophobic amino acid regions, whereas negative numbers indicate calculated hydrophilic amino acid regions.

The hydrophobicity of the peptide analogs was measured by RP-HPLC using three different RP-HPLC columns. The hydrophobicity indexes of CGRP_(8–37), bzl-CGRP_(8–37), and bzl-bn-CGRP_(8–37) using column 1 (Vydac) were 0.1, 0.7, and 2.1, respectively; using column 2 (Waters Symmetry) were 0.1, 0.9, and 3.1, respectively; and using column 3 (Kromasil) were 0.5, 1.0, and 2.7, respectively. The rank order of hydrophobicity was bzl-bn-CGRP_(8–37) > bzl-CGRP_(8–37) > CGRP_(8–37) and was the same among all RP-HPLC columns used.

Evaluation of Agonist Activity and Nonspecific Effects of bzl-bn-CGRP_(8–37) in Mouse Aorta. Using mouse aorta we tested the novel CGRP receptor antagonist, bzl-bn-CGRP_(8–37), for agonist activity to cause relaxation by precontracting aorta with 1 µM norepinephrine and determining the effects of addition of 1 µM of this antagonist. bzl-bn-CGRP_(8–37) (1 µM) had no significant effect on norepinephrine-induced tone of aorta (data not shown). In addition, 1 µM bzl-bn-CGRP_(8–37) had no effect on the resting level of tone in this tissue (data not shown). We also determined whether bzl-bn-CGRP_(8–37) had nonspecific effects to interfere with norepinephrine-mediated contraction by measuring the amount of tension produced by 1 µM norepinephrine in the absence and presence of this antagonist. There was no significant difference in the amount of norepinephrine-induced contractile tone in the absence (185 ± 15 mg, n = 12) compared with the presence (195 ± 17 mg, n = 12) of 1 µM bzl-bn-CGRP_(8–37).

Affinities of CGRP_(8–37), bzl-CGRP_(8–37), and bzl-bn-CGRP_(8–37) for CGRP Receptors in Mouse Aorta. CGRP produced concentration-dependent relaxation to the baseline level of tone with an EC₅₀ value of 10 ± 1.0 nM (Fig. 2A). In the presence of CGRP_(8–37), bzl-CGRP_(8–37), and bzl-bn-CGRP_(8–37), the CGRP concentration-response curves were shifted to the right in a parallel manner consistent with competitive antagonism (data not shown). EC₅₀ values for CGRP in the presence of CGRP_(8–37) (10 µM), bzl-CGRP_(8–37) (3 µM), and bzl-bn-CGRP_(8–37) (1.5 µM) were 158 ± 52, 1945 ± 645 and 530 ± 126 nM, respectively. With the use of these data, the affinities (K_B values) of the antagonists were calculated and are listed in Table 2. The rank order of antagonist affinity was bzl-bn-CGRP_(8–37) = bzl-CGRP_(8–37) > CGRP_(8–37).

View larger version (19K): [in this window] [in a new window]   Fig. 2. A, effect of different concentrations of bzl-bn-CGRP(8–37) on concentration-response curves for CGRP-induced relaxation of mouse aorta. Concentration-response curves are plotted as percent relaxation to the baseline tone present before contraction with 1 µM norepinephrine. Points are the means ± S.E.M. of responses of four to six individual thoracic aortas, each taken from different animals. B, effect of different concentrations of bzl-bn-CGRP(8–37) on concentration-response curves for CGRP-stimulated cAMP production in SK-N-MC cells. Concentration-response curves are plotted as a percentage of the maximal CGRP-stimulated cAMP production. Points are the means ± S.E.M. of responses from three individual experiments performed in duplicate, with each experiment using cells grown in different culture plates on different days. C, mean Schild plots of data from A using mouse aorta and from B using human SK-N-MC cells. The affinity (pA2) of bzl-bn-CGRP(8–37) for CGRP receptors in the mouse aorta and human SK-N-MC cells was calculated as the x-intercept of the Schild plot, which was 7.3 and 9.2, respectively.

The affinity of bzl-bn-CGRP_(8–37), for CGRP receptors mediating relaxation of mouse aorta, was further evaluated by generating concentration-response relaxation curves for CGRP in the absence and presence of various concentrations of bzl-bn-CGRP_(8–37). As shown in Fig. 2A, bzl-bn-CGRP_(8–37) inhibited CGRP-induced relaxation and caused concentration-dependent rightward shifts in the CGRP concentration-response curve. These data were used to construct Schild plots (Fig. 2C) from which the affinity (pA₂ value) for bzl-bn-CGRP_(8–37) in inhibiting CGRP-induced relaxation was calculated. The mean pA₂ value for bzl-bn-CGRP_(8–37) calculated from the Schild regressions was 7.3 with a mean slope of 1.3 ± 0.1.

Specificity of bzl-bnCGRP_(8–37) Interaction with CGRP Receptors in Mouse Aorta. bzl-bnCGRP_(8–37) was also evaluated for the specificity of its CGRP receptor antagonism effect. After precontraction of mouse aorta with 1 µM norepinephrine, isoproterenol concentration-response relaxation curves in the absence and presence of 1 µM bzl-bnCGRP_(8–37) were generated. There was no significant effect on maximal isoproterenol-mediated relaxation of the aorta in the absence (100 ± 1%, n = 4) compared with the presence (98 ± 3%, n = 4) of bzl-bn-CGRP_(8–37) or on isoproterenol EC₅₀ values in the absence (36 ± 12 µM, n = 4) compared with the presence (46 ± 5 µM, n = 4) of bzl-bn-CGRP_(8–37). Thus, bzl-bn-CGRP_(8–37) does not cause nonspecific inhibition of aortic relaxation at this concentration.

Evaluation of Agonist Activity, Nonspecific Effects, and Receptor Specificity of bzl-bn-CGRP_(8–37) in Human SK-N-MC Cells. Mean basal, forskolin-stimulated, and isoproterenol-stimulated cAMP production in SK-N-MC cells in the absence and presence of 1 µM bzl-bn-CGRP_(8–37) is shown in Fig. 3. There was no significant effect of bzl-bn-CGRP_(8–37) on the basal level of cAMP production or on forskolin-stimulated cAMP production. This indicates that bzl-bn-CGRP_(8–37) lacks intrinsic agonist activity and does not cause nonspecific inhibition of adenylyl cyclase at this concentration. In addition, there was no significant effect of bzl-bn-CGRP_(8–37) on isoproterenol-stimulated cAMP production, indicating that a 1 µM concentration of this antagonist does not nonspecifically inhibit G protein-coupled receptor-mediated cAMP production (Fig. 3).

View larger version (22K): [in this window] [in a new window]   Fig. 3. Effect of bzl-bn-CGRP(8–37) on basal, forskolin-stimulated, and isoproterenol-stimulated cAMP production in SK-N-MC cells. Cells were incubated with vehicle (basal), 300 nM forskolin, or 3 nM isoproterenol in the absence () or the presence of 1 µM bzl-bn-CGRP(8–37) () for 30 min at 37°C and cAMP production measured. Bars are the means ± S.E.M. generated from 3 to 14 individual experiments performed in duplicate, with each experiment using cells grown in different culture plates on different days.

The affinity of the most potent antagonist, bzl-bn-CGRP_(8–37), for CGRP receptors mediating cAMP production in SK-N-MC cells was further evaluated by generating concentration-response curves for CGRP in the absence and presence of various concentrations of bzl-bn-CGRP_(8–37). As shown in Fig. 2B, bzl-bn-CGRP_(8–37) inhibited CGRP-induced cAMP production and caused concentration-dependent parallel rightward shifts in the CGRP concentration-response curve. These data were used to construct Schild plots (Fig. 2C) from which the affinity (pA₂ value) for bzl-bn-CGRP_(8–37) in inhibiting CGRP-induced cAMP production was calculated. The mean pA₂ value for bzl-bn-CGRP_(8–37) calculated from the Schild regression was 9.2 with a mean slope of 0.9 ± 0.1.

Comparison of Antagonist Affinities in Mouse Aorta and Human SK-N-MC Cells and Correlations with Antagonist Hydrophobicity. Figure 2C shows mean Schild plots for the antagonist bzl-bn-CGRP_(8–37) derived from the data shown in Fig. 2, A and B. The mean pA₂ value was 80-fold lower (higher affinity) in human SK-N-MC cells (pA₂ = 9.2) compared with the mean pA₂ value in the mouse aorta (pA₂ = 7.3) (Fig. 2C).

We also compared antagonist affinity in inhibiting CGRP-induced relaxation in mouse aorta with antagonist affinity in inhibiting CGRP-induced cAMP production in human SK-N-MC cells for all antagonists using the data shown in Table 2. There was no difference in the affinity of CGRP_(8–37) in the aorta compared with that in SK-N-MC cells (Table 2). In contrast, the affinity of bzl-bn-CGRP_(8–37) was significantly higher in human SK-N-MC cells compared with the mouse aorta (Table 2). Figure 4A shows the correlation, for all antagonists, of their affinities in mouse aorta compared with their affinities in human SK-N-MC cells. The 95% confidence interval of mean pK_B values for CGRP_(8–37) included the line of identity, whereas those values for bzl-CGRP_(8–37) and bzl-bn-CGRP_(8–37) did not. Thus, there was a statistically significant decrease in the slope of the regression line correlating affinities in human SK-N-MC cells and mouse aorta compared with the line of identity. These data show that bzl-CGRP_(8–37) and bzl-bn-CGRP_(8–37) both have a higher affinity for CGRP receptors in human SK-N-MC cells.

View larger version (20K): [in this window] [in a new window]   Fig. 4. A, correlation plot of antagonist affinity values (pKB) determined from data for CGRP receptor-mediated responses in the mouse aorta (Table 2) and human SK-N-MC cells (Table 2). The dashed line is the line of identity, whereas the solid line is the Deming regression of the affinity of the antagonists in mouse aorta versus human SK-N-MC cells. Data points are means ± 95% confidence intervals. The slope and correlation coefficient (r2) of the linear regression of the data points are indicated. Note that the points for bzl-CGRP(8–37) and bzl-bn-CGRP(8–37) deviate from the line of identity, whereas the point for CGRP(8–37) does not. B, correlation plot of the affinity values [log(1/pKB)] determined from data for CGRP receptor-mediated responses in the mouse aorta (data from Table 2) or human SK-N-MC cells (data from Table 2) and the hydrophobicity index of the antagonists (data listed under Results). The dashed line is the line of identity, whereas the solid line is the Deming regression of the affinity of the antagonists in mouse aorta () or human SK-N-MC cells () versus the hydrophobicity of the individual analogs. Data points are mean ± 95% confidence intervals. Note that in mouse aorta, the points for bzl-CGRP(8–37) and bzl-bn-CGRP(8–37) deviate from the line of identity, whereas the points for these antagonists in human SK-N-MC cells do not.

We also correlated antagonist affinity to inhibit CGRP-induced relaxation in mouse aorta and cAMP production in human SK-N-MC cells, with antagonist hydrophobicity (Fig. 4B). Increasing the hydrophobicity of the antagonists correlated with increases in the affinity of CGRP_(8–37), bzl-CGRP_(8–37), and bzl-bn-CGRP_(8–37) in both the mouse aorta and human SK-N-MC cells. In human SK-N-MC cells, increasing antagonist hydrophobicity caused a linear, proportional increase in affinity. Thus, the linear regression line correlating these parameters in human SK-N-MC cells was not different from the line of identity. In contrast, in the mouse aorta, the correlation between antagonist affinity and hydrophobicity was not proportional. Thus, in mouse aorta, there was a significant decrease in the slope of the regression line correlating affinity and hydrophobicity index compared with the line of identity.

	Discussion

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CGRP is a 37-residue neuropeptide that is widely distributed in the central and peripheral nervous systems. This peptide acts as a neurotransmitter and neuromodulator with important cardiovascular actions, which include regulation of peripheral vascular tone and force and rate of cardiac contraction. The actions of CGRP are mediated through CGRP receptors, which are family B members of the G protein-coupled receptor superfamily. CGRP_(8–37) is the primary pharmacological tool used to characterize CGRP receptors, and the differential affinity of this antagonist in different tissues provides evidence for CGRP receptor heterogeneity. At this time, only one CGRP receptor, the CGRP-1 receptor, has been cloned. The CGRP-1 receptor consists of a heterodimer composed of the CL and RAMP1 (McLatchie et al., 1998). To date, the International Union of Pharmacology and most other authorities recognize the CGRP-1 receptor subtype and a second heterogeneous population of CGRP receptors that may contain more than one pharmacologically distinct CGRP receptor subtype (Poyner et al., 2002).

The mouse is an important experimental animal model used to identify new agents for the treatment of cardiovascular disease. Effective use of the mouse as a model for human CGRP receptor-mediated effects requires an understanding of the pharmacological tools used to examine CGRP receptor-mediated responses and whether these tools differentiate human CGRP receptors from CGRP receptors in other species. Despite the establishment of the mouse as a sensitive system to study the vasodilatory effects of CGRP (Pomerleau et al., 1997; Chan and Fiscus, 2001), there are no functional studies that quantify the affinity of the prototypical CGRP receptor antagonist CGRP_(8–37) in mouse blood vessels to identify the CGRP receptor type causing vascular relaxation. In our studies, we found that CGRP_(8–37) had micromolar affinity (pA₂ = 6.4) in blocking CGRP-induced relaxation of mouse aorta consistent with this response being mediated by CGRP-1 receptors. In addition, the affinity of CGRP_(8–37) to inhibit relaxation was the same as its affinity to inhibit cAMP production in human SK-N-MC cells, which are routinely used as a model system to study CGRP-1 receptors. Thus, unlike blood vessels from some other species (Wisskirchen et al., 1999), we found that the mouse has typical CGRP-1 receptor-mediated vascular relaxation as has been reported in isolated blood vessels from humans (Hasbak et al., 2003).

In addition to the prototypical CGRP receptor antagonist CGRP_(8–37), we also quantitatively characterized a CGRP receptor antagonist, bzl-CGRP_(8–37), previously identified by our laboratory (Smith et al., 2003), and a novel antagonist bzl-bn-CGRP_(8–37). These three antagonists all acted in a competitive manner in blocking functional responses in mouse aorta and in human SK-N-MC cells, and the rank order of affinity at CGRP receptors in both of these assay systems was bzl-bn-CGRP_(8–37) bzl-CGRP_(8–37) > CGRP_(8–37). Furthermore, the new antagonist, bzl-bn-CGRP_(8–37), had no agonist activity or nonspecific effects in both the aorta and SK-N-MC cell line at concentrations up to 1 µM. Correlations among the affinities of CGRP_(8–37), bzl-CGRP_(8–37), and bzl-bn-CGRP_(8–37) in the mouse aorta compared with human SK-N-MC cells showed that CGRP_(8–37) does not discriminate between mouse and human CGRP receptors. In contrast, bzl-CGRP_(8–37) and bzl-bn-CGRP_(8–37) have increased affinity for human CGRP receptors in SK-N-MC cells. We also measured antagonist hydrophobicity and found the same rank order of antagonist hydrophobicity of bzl-bn-CGRP_(8–37) > bzl-CGRP_(8–37) > CGRP_(8–37) as for the rank order of antagonist affinity. These correlations suggest that increasing the hydrophobic characteristics of these CGRP_(8–37)-based peptide antagonists provides progression toward human CGRP receptor selectivity.

We cannot rule out the possibility that tissue-mediated peptide degradation, the binding of peptides to glass surfaces, or tissue barriers to diffusion of peptides into receptor compartments could all reduce the concentration of these antagonists at CGRP receptors, leading to an underestimation of their affinities in functional assays using mouse aorta. However, our new antagonist peptides differ importantly from the standard antagonist CGRP_(8–37) because they are N-terminally acylated. It is well established that derivatization of the N terminus of peptides protects them from degradation by aminopeptidases (Drapeau et al., 1993), which suggest that metabolism of the antagonists is most likely minimal in our experiments. In addition, our organ chambers are coated with organosilanes, which limits the binding of peptides and other agents to glass surfaces. This treatment would also reduce peptide loss in our experiments. We also found that the standard peptide antagonist, CGRP_(8–37), had the same affinity in mouse aorta compared with SK-N-MC cells which indicates that, at least for this antagonist, diffusion barriers do not confound our affinity measurements in the mouse aorta. Although these experimental factors could contribute to differences in antagonist affinity, we believe that these factors are not likely to explain the 80-fold difference in the affinity of bzl-bn-CGRP_(8–37) between mouse aorta and SK-N-MC cells.

The N terminus of family B G protein-coupled receptors plays a key role in ligand binding to receptors. For the CGRP receptor the extracellular domains of CL and RAMP1 are thought to form the binding site for peptide ligands (Fraser et al., 1999; Koller et al., 2002), with RAMP1 being the most important component. The extracellular domain of RAMP1 is the least conserved region among species and amino acids 66 to 112 of this region are important for determining the affinity of the nonpeptide antagonists BIBN4096BS and compound 1 for CGRP receptors (Mallee et al., 2002). These nonpeptide antagonists show selectivity for the human compared with the rodent CGRP receptor and a single amino acid at position 74 in the extracellular domain of RAMP1 has been reported to explain this species selectivity. The fact that our new peptide antagonist bzl-bn-CGRP_(8–37) also showed relatively high-affinity and human CGRP receptor selectivity suggests that the extracellular domain of RAMP1 may be necessary for CGRP receptor interaction with both peptide and nonpeptide antagonists. In our studies, we found that bzl-CGRP_(8–37) and bzl-bn-CGRP_(8–37) have up to 80-fold higher affinity for the human compared with the mouse CGRP receptor. We propose that this species difference in affinity may be accounted for by sequence dissimilarity in the extracellular domain between human and mouse RAMP1. In fact, comparison of the extracellular domain amino acid composition between human and mouse RAMP1, using the Kyte-Doolittle hydrophobicity scale (Kyte and Doolittle, 1982), showed numerous amino acid differences resulting in an extracellular domain of human RAMP1 that is 62% more hydrophobic compared with mouse RAMP1. These findings indicate that the CGRP receptor binding pocket formed by the extracellular domains of human CL and RAMP1 may be more hydrophobic than the binding pocket formed between the extracellular domains of mouse CL and RAMP1.

Important information about ligand binding sites on the native CGRP receptor can be gained by comparing the interaction of peptide and nonpeptide antagonists, which can be used to guide modeling of receptor-ligand interaction. Although there is a significant size difference between the low molecular weight nonpeptide antagonists BIBN4096BS and compound 1 compared with our new peptide antagonists, both interact with RAMP1 and their human selectivity is directed by RAMP1. Whereas nonpeptide antagonists require only a single amino acid residue on RAMP1 to confer human selectivity, peptide antagonists seem to require a wider amino acid region for this interaction. Hydropathy plots of human and mouse RAMP1 show that the region encompassing position 74, the amino acid responsible for human selectivity of nonpeptide antagonists, is more hydrophobic in mouse RAMP1 (Fig. 1). This shows that human selective nonpeptide antagonists have a greater affinity for the extracellular domain of human RAMP1, which is less hydrophobic than mouse RAMP1. Thus, for nonpeptide antagonists decreasing hydrophobic interactions between ligand and receptor are correlated with human selectivity of these antagonists. Our new peptide antagonist bzl-bn-CGRP_(8–37) was designed with hydrophobic modifications to the region of this peptide that is thought to interact with the hydrophobic extreme N terminus of the extracellular domain of human RAMP1. Our correlations between antagonist affinities and their hydrophobicity indicate that increasing hydrophobicity of peptide antagonists is a key factor in human CGRP receptor selectivity. Based on a hydrophobic interaction between our new peptide antagonists and RAMP1, we predict they interact with the region of human RAMP1 that is more hydrophobic than the mouse, residues 55 to the N terminus. Thus, peptide and nonpeptide antagonists seem to interact in a different manner with RAMP1, and there may be a difference in the structural determinants within the CGRP receptor that contribute to their species selectivities. These human selective peptide antagonists provide novel tools to study the integrative processes that cause functional responses in native cells, tissues, and animals, the functionome.

In summary, we designed, synthesized, and measured the affinities of CGRP_(8–37) and the more hydrophobic antagonists bzl-CGRP_(8–37) and bzl-bn-CGRP_(8–37) at mouse and human CGRP receptors. We found that CGRP_(8–37), does not discriminate between mouse and human CGRP receptors, whereas bzl-CGRP_(8–37) possesses some preference for human CGRP receptors. In contrast, the most hydrophobic antagonist, bzl-bn-CGRP_(8–37) possessed the highest affinity and greatest selectivity for human CGRP receptors. The modification of CGRP_(8–37) with bulky hydrophobic groups resulting in relatively high affinity peptide antagonists at human receptors suggests that human CGRP receptor selectivity is directed by the extreme N terminus of the extracellular domain of RAMP1, which participates as a unique entity for peptide antagonists, forming a hydrophobic binding pocket with CL. We propose that the species selectivity of these peptide antagonists is due to increased hydrophobic ligand-receptor interactions. Thus, the N terminus of the extracellular domain of human RAMP1 is a critical target to exploit for development of human selective CGRP receptor agents.

	Acknowledgements

 
We thank Dr. Donald R. Babin (Creighton University) for performing amino acid analysis and Dr. Charles Bockman (Creighton University) for helpful comments.

	Footnotes

 
This work was supported by an American Heart Association PreDoctoral Fellowship (to C.K.T.) and by National Institutes of Health Grant P20 RR16469.

Article, publication date, and citation information can be found at http://jpet.aspetjournals.org.

doi:10.1124/jpet.106.108316.

ABBREVIATIONS: CGRP, -calcitonin gene-related peptide; CL, calcitonin receptor-like receptor; RAMP1, receptor activity-modifying protein 1; CGRP_(8–37), human -calcitonin gene-related peptide_(8–37); bzl-CGRP_(8–37), [N--benzoyl]human -CGRP_(8–37); bzl-bn-CGRP_(8–37), [N--benzoyl-His¹⁰-benzyl]human -CGRP_(8–37); Boc, N--tert-butyloxycarbonyl; RP-HPLC, reversed phase-high performance liquid chromatography; ESI-MS, electrospray-ionization mass spectrometry; BIBN4096BS, N-[1-[[6-amino-1-oxo-1-(4-pyridin-4-ylpiperazin-1-yl)hexan-2-yl]carbamoyl]-2-(3,5-dibromo-4-hydroxy-phenyl)ethyl]-4-(2-oxo-1,4-dihydroquinazolin-3-yl)piperidine-1-carboxamide; Compound 1, 4-(2-oxo-2,3-dihydro-benzoimidazol-1-yl)piperidine-1-carboxylic acid [1-(3,5-dibromo-4-hydroxy-benzyl)-2-oxo-2-(4-phenyl-piperazin-1-yl)-ethyl]-amide.

Address correspondence to: Dr. Peter W. Abel, Creighton University School of Medicine, Department of Pharmacology, 2500 California Plaza, Omaha, NE 68178. E-mail: pabel{at}creighton.edu

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