4286
D. W. Kung et al. / Bioorg. Med. Chem. Lett. 22 (2012) 4281–4287
18. Pasternak, A.; Goble, S. D.; de Jesus, R. K.; Hreniuk, D. L.; Chung, C. C.; Tota, M.
R.; Mazur, P.; Feighner, S. D.; Howard, A. D.; Mills, S. G.; Yang, L. Bioorg. Med.
Chem. Lett. 2009, 19, 6237.
19. Yu, M.; Lizarzaburu, M.; Beckmann, H.; Connors, R.; Dai, K.; Haller, K.; Li, C.;
Liang, L.; Lindstrom, M.; Ma, J.; Motani, A.; Wanska, M.; Zhang, A.; Li, L.;
Medina, J. C. Bioorg. Med. Chem. Lett. 2010, 20, 1758.
20. Bednarek, M. A.; Feighner, S. D.; Pong, S.-S.; McKee, K. K.; Hreniuk, D. L.; Silva,
M. V.; Warren, V. A.; Howard, A. D.; Van der Ploeg, L. H. Y.; Heck, J. V. J. Med.
Chem. 2000, 43, 4370.
and dofetilide binding were identified. Further, selected com-
pounds evaluated for rat in vivo clearance and pulmonary extrac-
tion provided support for the hypothesis that replacing the
alkoxyphenyl rings with heteroaryl derivatives would improve
in vivo PK properties. The most promising compounds from this
series (Table 2) contained a fused bicyclic imidazo-acetamide
group on the piperidine, and a heterobiaryl derivative on the azeti-
dine. The rat in vivo PK properties of compound 10n were further
characterized; it demonstrated oral bioavailability of 43% (30 mg/
kg dose in Sprague–Dawley rat), and it exhibited reasonable pene-
tration into the brain ([free brain] = 324 nM, [free plasma] = 560
nM @ 30 min, 30 mg/kg, po).
In summary, we exploited an efficient three-step synthetic pro-
cess that allowed variation at each end of a piperidine-azetidine
core structure from readily accessible carboxylic acid and aromatic
aldehyde starting materials. The ability to rapidly explore SAR
hypotheses, around ghrelin receptor binding potency, in vitro AD-
MET, and in vivo rat PK, was critical to the identification of specific
structural changes that enabled the improvement of potency and
of ADMET properties. Decreased lipophilicity and replacement of
alkoxyphenyl rings with heteroaryl derivatives were the key
structural changes that drove this series toward more drug-like
properties. A hypothesis of pulmonary extraction as a primary
source of extrahepatic clearance among early compounds in this
series was tested by the use of jugular vein and carotid artery
cannulated rats.
21. Ghrelin SPA binding assays were performed in 384-well plates in a final
volume of 90 lL containing 250 ng human GHS-R1a (HEK293 tetracycline-
inducible cell line expressing the human growth secretagogue receptor 1a;
prepared as membranes) coupled to 0.5 mg SPA beads (wheat germ agglutinin
coated, GE Healthcare, RPNQ0060) and 50 pM [125I]-ghrelin (Perkin Elmer Life
Sciences, NEX-388), plus varying concentrations of test compound or vehicle.
Controls were included on each assay plate to define 0% effect (ZPE) where no
compound was included in the binding reaction and 100% effect (HPE) where
2 lM unlabeled ghrelin was added to maximally displace the radioligand. All
reagents were diluted in assay buffer (50 mM HEPES, 10 mM MgCl2, 0.2% BSA,
EDTA-free protease inhibitors mix, pH 7.4) and reactions were incubated for
8 h at room temperature to allow binding to reach equilibrium. The amount of
receptor–ligand complex was determined by liquid scintillation counting using
a
1450 Microbeta Trilux (Wallac). Data analysis was performed using
proprietary software package. Briefly, the percent effect for each compound
dose (Sample) was calculated from raw data as follows: Effect = 100–
100 Â ((Sample-HPE)/(ZPE À HPE)) where HPE and ZPE values are averages of
16 wells each. The compound effect values were then plotted versus
a
%
%
concentration and the IC50 was determined using a standard 4-parameter fit
algorithm.
22. Holst, B.; Mokrosinski, J.; Lang, M.; Brandt, E.; Nygaard, R.; Frimurer, T. M.;
Beck-Sickinger, A. G.; Schwartz, T. W. J. Biol. Chem. 2007, 282, 15799.
23. To measure the ability of test compounds to modulate the activity of human
GHS-R1a (agonize, antagonize, partially agonize, inversely agonize), a DELFIA
GTP-binding assay (Perkin Elmer, AD0260 and AD0261) was performed. The
assay monitors the ligand-dependent exchange of GDP for GTP. GPCR
activation results in an increase in fluorescence as receptor-bound GDP is
replaced by Europium-labeled GTP. Antagonist binding prevents GDP-GTP
exchange whereas binding of an inverse agonist pushes the receptor to the
GDP bound (inactive) state, both resulting in decreased fluorescence. Ghrelin
References and notes
1. Kojima, M.; Hosoda, H.; Date, Y.; Nakazato, M.; Matsuo, H.; Kangawa, K. Nature
1999, 402, 656.
2. Nass, R.; Pezzoli, S. S.; Oliveri, M. C.; Patrie, J. T.; Harrell, F. E., Jr.; Clasey, J. L.;
Heymsfield, S. B.; Bach, M. A.; Vance, M. L.; Thorner, M. O. Ann. Intern. Med.
2008, 149, 601.
3. Carpino, P. A.; Lefker, B. A.; Toler, S. M.; Pan, L. C.; Hadcock, J. R.; Cook, E. R.;
DiBrino, J. N.; Campeta, A. M.; DeNinno, S. L.; Chidsey-Frink, K. L.; Hada, W. A.;
Inthavongsay, J.; Mangano, F. M.; Mullins, M. A.; Nickerson, D. F.; Ng, O.; Pirie,
C. M.; Ragan, J. A.; Rose, C. R.; Tess, D. A.; Wright, A. S.; Yu, L.; Zawistoski, M. P.;
DaSilva-Jardine, P. A.; Wilson, T. C.; Thompson, D. D. Bioorg. Med. Chem. 2003,
11, 581.
functional assays were performed in a final volume of 39.5 lL containing
720 ng human GHS-R1a (HEK293 tetracycline-inducible cell line expressing
the human growth secretagogue receptor 1a, prepared as membranes), 9 nM
GTP-Europium and varying concentrations of test compound or vehicle. To test
for receptor antagonism (antagonist mode), membranes were incubated in the
presence of agonist ghrelin (Anaspec, 24158) at the EC80 concentration, plus
test compound or vehicle. To test for receptor agonists (agonist mode),
membranes were incubated in the absence of ghrelin. Briefly, test compounds
were prepared in DMSO at room temperature in 384-well plates (Matrix, 4340)
and then transferred to intermediate plates containing basal buffer (50 mM
4. Hoveyda, H. R.; Marsault, E.; Gagnon, R.; Mathieu, A. P.; Vézina, M.; Landry, A.;
Wang, Z.; Benakli, K.; Beaubien, S.; Saint-Louis, C.; Brassard, M.; Pinault, J.-F.;
Ouellet, L.; Bhat, S.; Ramaseshan, M.; Peng, X.; Foucher, L.; Beauchemin, S.;
Bhérer, P.; Veber, D. F.; Peterson, M. L.; Fraser, G. L. J. Med. Chem. 2011, 54, 8305.
5. Cummings, D. E.; Foster-Schubert, K. E.; Overduin, J. Curr. Drug Targets 2005, 6,
153.
6. Lu, S.-C.; Xu, J.; Chinookoswong, N.; Liu, S.; Steavenson, S.; Gegg, C.; Brankow,
D.; Lindberg, R.; Veniant, M.; Gu, W. Mol. Pharmacol. 2009, 75, 901.
7. Helmling, S.; Maasch, C.; Eulberg, D.; Buchner, K.; Schroder, W.; Lange, C.;
Vonhoff, S.; Wlotzka, B.; Tschop, M. H.; Rosewicz, S.; Klussmann, S. Proc. Natl.
Acad. Sci. U.S.A. 2004, 101, 13174.
8. Wortley, K. E.; del Rincon, J. P.; Murray, J. D.; Garcia, K.; Iida, K.; Thorner, M. O.;
Sleeman, M. W. J. Clin. Invest. 2005, 115, 3573.
9. Sun, Y.; Butte, N. F.; Garcia, J. M.; Smith, R. G. Endocrinology 2008, 149, 843.
10. Nass, R.; Gaylinn, B. D.; Thorner, M. O. Molec. Cell. Endocrinol. 2011, 340, 106.
11. Tong, J.; Prigeon, R. L.; Davis, H. W.; Bidlingmaier, M.; Kahn, S. E.; Cummings, D.
E.; Tschop, M. H.; D’Alessio, D. Diabetes 2010, 59, 2145.
12. Esler, W. P.; Rudolph, J.; Claus, T. H.; Tang, W.; Barucci, N.; Brown, S. E.; Bullock,
W.; Daly, M.; Decarr, L.; Li, Y.; Milardo, L.; Molstad, D.; Zhu, J.; Gardell, S. J.;
Livingston, J. N.; Sweet, L. J. Endocrinology 2007, 148, 5175.
13. Khojasteh-Bakht, S. C.; O’Donnell, J. P.; Fouda, H. G.; Potchoiba, M. J. Drug
Metab. Dispos. 2005, 33, 190.
14. Liu, B.; Liu, G.; Xin, Z.; Serby, M. D.; Zhao, H.; Schaefer, V. G.; Falls, H. D.;
Kaszubska, W.; Collins, C. A.; Sham, H. L. Bioorg. Med. Chem. Lett. 2004, 14, 5223.
15. Zhao, H.; Xin, Z.; Liu, G.; Schaefer, V. G.; Falls, H. D.; Kaszubska, W.; Collins, C.
A.; Sham, H. L. J. Med. Chem. 2004, 47, 6655.
16. Serby, M. D.; Zhao, H.; Szczepankiewicz, B. G.; Kosogof, C.; Xin, Z.; Liu, B.; Liu,
M.; Nelson, L. T.; Kaszubska, W.; Falls, H. D.; Schaefer, V.; Bush, E. N.; Shapiro,
R.; Droz, B. A.; Knourek-Segel, V. E.; Fey, T. A.; Brune, M. E.; Beno, D. W.; Turner,
T. M.; Collins, C. A.; Jacobson, P. B.; Sham, H. L.; Liu, G. J. Med. Chem. 2006, 49,
2568.
HEPES pH 7.4, 3.7 mM MgCl2, 250 lM EGTA, 125 nM GDP) with and without
EC80 concentration of ghrelin peptide. Controls were included on each assay
plate to define 0% effect (ZPE) where no compound was included in the binding
reaction and 100% effect (HPE) where either 10
lM ghrelin was added to
determine maximal agonist activity or the EC80 concentration of ghrelin was
omitted to determine maximal antagonist activity. Samples were then
transferred to 384-well filter plates (Pall, 5071) containing hGHS-R1a
membrane and 0.35 mg/mL saponin (Perkin Elmer, AD0261) in basal buffer.
The mixture was incubated 24 min at room temperature with gentle shaking,
followed by the addition of GTP-Europium in 50 mM HEPES pH 7.4. Samples
were shielded from light and incubated for 90 minutes further at room
temperature with gentle shaking. The reactions were suctioned dry with
vacuum, washed three times with ice cold 1Â GTP Wash Solution (Perkin
Elmer, AD0261), and immediately read on the Envision 2101 Multilabel Reader
(Perkin Elmer) using excitation filter 320 nm and emission filter 615 nm. Data
analysis was performed using a proprietary software package. Briefly, the
percent effect for each compound dose (Sample) was calculated as follows:
%Effect = 100–100 Â ((Sample-HPE)/(ZPE–HPE)) where HPE and ZPE values are
averages of 16 wells each. The compound % effect values were then plotted vs.
compound concentration and the Ki was determined for antagonists and
inverse agonists as follows: KB = IC50/(1 + ([radioligand]/Kd)) where IC50 was
determined from a standard 4-parameter fit algorithm, the [radioligand] = EC80
concentration ghrelin, and Kd is experimentally determined in each run by
performing a ghrelin titration. Similarly, for compounds tested in agonist mode
the % effect for each well is calculated based on the median values for the HPE
and ZPE controls. The % effect values for each compound/dose are then plotted
to generate a dose response curve for each compound/batch tested. The agonist
compounds will have an increasing curve where % effect will increase with
dose. Antagonist compounds will appear inactive. Inverse agonist compounds
will have decreasing curves with the % effect values becoming more negative
with increasing concentration of compound. The agonist activity of the
compounds is quantitated by calculating an EC50 value.
17. Rudolph, J.; Esler, W. P.; O’Connor, S.; Coish, P. D.; Wickens, P. L.; Brands, M.;
Bierer, D. E.; Bloomquist, B. T.; Bondar, G.; Chen, L.; Chuang, C. Y.; Claus, T. H.;
Fathi, Z.; Fu, W.; Khire, U. R.; Kristie, J. A.; Liu, X. G.; Lowe, D. B.; McClure, A. C.;
Michels, M.; Ortiz, A. A.; Ramsden, P. D.; Schoenleber, R. W.; Shelekhin, T. E.;
Vakalopoulos, A.; Tang, W.; Wang, L.; Yi, L.; Gardell, S. J.; Livingston, J. N.;
Sweet, L. J.; Bullock, W. H. J. Med. Chem. 2007, 50, 5202.
24. Boddeke, H. W. G. M.; Fargin, A.; Raymonde, J. R.; Schoeffter, P.; Hoyer, D.
Naunyn-Schmiedeberg’s Arch. Pharmacol. 1992, 345, 257.
25. Morphy, R. J. Med. Chem. 2006, 49, 2969.
26. Orr, S. T. M.; Cabral, S.; Fernando, D. P.; Makowski, T. Tetrahedron Lett. 2011, 52,
3618.