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Biased Receptor Signaling in Drug Discovery

Open access
Kenakin, Terry·2019·Pharmacological Reviews

Abstract

A great deal of experimental evidence suggests that ligands can stabilize different receptor active states that go on to interact with cellular signaling proteins to form a range of different complexes in varying quantities. In pleiotropically linked receptor systems, this leads to selective activation of some signaling pathways at the expense of others (biased signaling). This article summarizes the current knowledge about the complex components of receptor systems, the evidence that biased signaling is used in natural physiology to fine-tune signaling, and the current thoughts on how this mechanism may be applied to the design of better drugs. Although this is a fairly newly discovered phenomenon, theoretical and experimental data suggest that it is a ubiquitous behavior of ligands and receptors and to be expected. Biased signaling is simple to detect in vitro and there are numerous methods to quantify the effect with scales that can be used to optimize this activity in structure-activity medicinal chemistry studies. At present, the major hurdle in the application of this mechanism to therapeutics is the translation of in vitro bias to in vivo effect; this is because of the numerous factors that can modify measures of bias in natural physiologic systems. In spite of this, biased signaling still has the potential to justify revisiting of receptor targets previously thought to be intractable and also furnishes the means to pursue targets previously thought to be forbidden due to deleterious physiology (as these may be eliminated through biased signaling).

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Research works printed but not linked: 39

  1. Appleton, 2013, Biasing the parathyroid hormone receptor: relating in vitro ligand efficacy to in vivo biological activity, Methods Enzymol, 522, 229, 10.1016/B978-0-12-407865-9.00013-3 · doi:10.1016/b978-0-12-407865-9.00013-3
  2. Audet, 2008, Bioluminescence resonance energy transfer assays reveal ligand-specific conformational changes within preformed signaling complexes containing delta-opioid receptors and heterotrimeric G proteins, J Biol Chem, 283, 15078, 10.1074/jbc.M707941200 · doi:10.1074/jbc.m707941200
  3. Aurelio, 2018, A structure-activity relationship study of bitopic N6-substituted adenosine derivatives as biased adenosine A1 receptor agonists, J Med Chem, 61, 2087, 10.1021/acs.jmedchem.8b00047 · doi:10.1021/acs.jmedchem.8b00047
  4. Coffa, 2011, A single mutation in arrestin-2 prevents ERK1/2 activation by reducing c-Raf1 binding, Biochemistry, 50, 6951, 10.1021/bi200745k · doi:10.1021/bi200745k
  5. Coffman, 1997, A genetic approach for studying the physiology of the type 1A (AT1A) angiotensin receptor, Semin Nephrol, 17, 404
  6. Cook, 2015, Biased allosteric modulation at the CaS receptor engendered by structurally diverse calcimimetics, Br J Pharmacol, 172, 185, 10.1111/bph.12937 · doi:10.1111/bph.12937
  7. Coward, 1998, Controlling signaling with a specifically designed Gi-coupled receptor in transgenic mice, Nat Biotechnol, 17, 165
  8. Daugvilaite, 2017, Biased agonism and allosteric modulation of G protein-coupled receptor 183 - a 7TM receptor also known as Epstein-Barr virus-induced gene 2, Br J Pharmacol, 174, 2031, 10.1111/bph.13801 · doi:10.1111/bph.13801
  9. Fang, 2008, Label-free optical biosensor for ligand-directed functional selectivity acting on beta(2) adrenoceptor in living cells, FEBS Lett, 582, 558, 10.1016/j.febslet.2008.01.021 · doi:10.1016/j.febslet.2008.01.021
  10. Ferrari, 2017, In vitro pharmacological characterization of a novel unbiased NOP receptor-selective nonpeptide agonist AT-403, Pharmacol Res Perspect, 5, 10.1002/prp2.333 · doi:10.1002/prp2.333
  11. Fisher, 1993, Selective signaling via unique M1 muscarinic agonists, Ann N Y Acad Sci, 695, 300, 10.1111/j.1749-6632.1993.tb23070.x · doi:10.1111/j.1749-6632.1993.tb23070.x
  12. Gesty-Palmer, 2011, ‘Biasing’ the parathyroid hormone receptor: a novel anabolic approach to increasing bone mass?, Br J Pharmacol, 164, 59, 10.1111/j.1476-5381.2011.01450.x · doi:10.1111/j.1476-5381.2011.01450.x
  13. Heldman, 1996, Pharmacological basis for functional selectivity of partial muscarinic receptor agonists, Eur J Pharmacol, 297, 283, 10.1016/0014-2999(95)00745-8 · doi:10.1016/0014-2999(95)00745-8
  14. Hoffmann, 2008, Agonist-selective, receptor-specific interaction of human P2Y receptors with β-arrestin-1 and -2, J Biol Chem, 283, 30933, 10.1074/jbc.M801472200 · doi:10.1074/jbc.m801472200
  15. Hou, 2016, Label-free cell phenotypic profiling and pathway deconvolution of neurotensin receptor-1, Pharmacol Res, 108, 39, 10.1016/j.phrs.2016.04.018 · doi:10.1016/j.phrs.2016.04.018
  16. Jozwiak, 2010, The effect of stereochemistry on the thermodynamic characteristics of the binding of fenoterol stereoisomers to the beta(2)-adrenoceptor, Biochem Pharmacol, 79, 1610, 10.1016/j.bcp.2010.01.035 · doi:10.1016/j.bcp.2010.01.035
  17. Kenakin, 2012, Casting a wider net: whole-cell assays to capture varied and biased signaling, Mol Pharmacol, 82, 571, 10.1124/mol.112.081117 · doi:10.1124/mol.112.081117
  18. Kenakin, 1985, Prenalterol as a selective cardiostimulant: differences between organ and receptor selectivity, J Cardiovasc Pharmacol, 7, 208, 10.1097/00005344-198501000-00033 · doi:10.1097/00005344-198501000-00033
  19. Kenakin, 2016, Synoptic pharmacology: detecting and assessing the pharmacological significance of ligands for orphan receptors, Pharmacol Res, 114, 284, 10.1016/j.phrs.2016.01.022 · doi:10.1016/j.phrs.2016.01.022
  20. Kenakin, 1991, The relative efficiency of beta adrenoceptor coupling to myocardial inotropy and diastolic relaxation: organ-selective treatment for diastolic dysfunction, J Pharmacol Exp Ther, 257, 1189, 10.1016/S0022-3565(25)24731-0 · doi:10.1016/s0022-3565(25)24731-0
  21. Lawler, 1994, Discrete functional selectivity of drugs: OPC-14597, a selective antagonist for post-synaptic dopamine D2 receptors (Abstract), Soc Neurosci Abstr, 20, 525
  22. Longabaugh, 1988, Decreased stimulatory guanosine triphosphate binding protein in dogs with pressure-overload left ventricular failure, J Clin Invest, 81, 420, 10.1172/JCI113335 · doi:10.1172/jci113335
  23. Maguire, 2016, Evidence for biased agonists and antagonists at the endothelin receptors, Life Sci, 159, 30, 10.1016/j.lfs.2016.02.069 · doi:10.1016/j.lfs.2016.02.069
  24. Maillet, 2007, A novel, conformation-specific allosteric inhibitor of the tachykinin NK2 receptor (NK2R) with functionally selective properties, FASEB J, 21, 2124, 10.1096/fj.06-7683com · doi:10.1096/fj.06-7683com
  25. McAnally, 2017, A systematic approach to identify biased agonists of the apelin receptor through high-throughput screening, SLAS Discov, 22, 867, 10.1177/2472555217699158 · doi:10.1177/2472555217699158
  26. Michal, 2007, Muscarinic M2 receptors directly activate Gq/11 and Gs G-proteins, J Pharmacol Exp Ther, 320, 607, 10.1124/jpet.106.114314 · doi:10.1124/jpet.106.114314
  27. Milanos, 2016, Discovery and characterization of biased allosteric agonists of the chemokine receptor CXCR3, J Med Chem, 59, 2222, 10.1021/acs.jmedchem.5b01965 · doi:10.1021/acs.jmedchem.5b01965
  28. Milanos, 2016, Identification of two distinct sites for antagonist and biased agonist binding to the human chemokine receptor CXCR3, Angew Chem Int Ed Engl, 55, 15277, 10.1002/anie.201607831 · doi:10.1002/anie.201607831
  29. Mottola, 1991, Dihydrexidine, a selective dopamine receptor agonist that may discriminate postsynaptic D2 receptors, Abstr Soc Neurosci, 17, 818
  30. Nasman, 2001, Role of G-protein availability in differential signaling by alpha 2-adrenoceptors, Biochem Pharmacol, 62, 913, 10.1016/S0006-2952(01)00730-4 · doi:10.1016/s0006-2952(01)00730-4
  31. Ogawa, 2016, Structural optimization and structure-functional selectivity relationship studies of G protein-biased EP2 receptor agonists, Bioorg Med Chem Lett, 26, 2446, 10.1016/j.bmcl.2016.03.110 · doi:10.1016/j.bmcl.2016.03.110
  32. Peverelli, 2013, Specific roles of G(i) protein family members revealed by dissecting SST5 coupling in human pituitary cells, J Cell Sci, 126, 638, 10.1242/jcs.116434 · doi:10.1242/jcs.116434
  33. Roerig, 1992, Identification of three separate guanine nucleotide-binding proteins that interact with the delta-opioid receptor in NG108-15 neuroblastoma x glioma hybrid cells, Mol Pharmacol, 41, 822, 10.1016/S0026-895X(25)09122-9 · doi:10.1016/s0026-895x(25)09122-9
  34. Seo, 2011, Identification of arrestin-3-specific residues necessary for JNK3 kinase activation, J Biol Chem, 286, 27894, 10.1074/jbc.M111.260448 · doi:10.1074/jbc.m111.260448
  35. Tang, 1998, Native protein fluctuations: the conformational-motion temperature and the inverse correlation of protein flexibility with protein stability, J Biomol Struct Dyn, 16, 397, 10.1080/07391102.1998.10508256 · doi:10.1080/07391102.1998.10508256
  36. Tucek, 1997, Is the R and R dichotomy real?, Trends Pharmacol Sci, 18, 414, 10.1016/S0165-6147(97)90672-6 · doi:10.1016/s0165-6147(97)90672-6
  37. Ward, 1995, Functionally selective M1 muscarinic agonists. 3. Side chains and azacycles contributing to functional muscarinic selectivity among pyrazinylazacycles, J Med Chem, 38, 3469, 10.1021/jm00018a007 · doi:10.1021/jm00018a007
  38. Woo, 2017, Biased agonism at the angiotensin receptor: blocker and calcium sensitizer at the same time, Circulation, 135, 1071, 10.1161/CIRCULATIONAHA.117.027276 · doi:10.1161/circulationaha.117.027276
  39. Zhou, 2018, An operational model for GPCR homodimers and its application in the analysis of biased signaling, Drug Discov Today, 23, 1591, 10.1016/j.drudis.2018.04.004 · doi:10.1016/j.drudis.2018.04.004

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Metadata

Authors
Kenakin, T.
Venue
Pharmacological Reviews
Publisher
Elsevier BV
Published
2019-04
Volume
71
Issue
2
Pages
267-315
ISSN
0031-6997 (ISSN-L)
OpenAlex
W2923681300
Cited by
294
References
525
FWCI
10.96
Type
journal article
Language
en
Open access
bronze
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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Kenakin, T. (2019). Biased Receptor Signaling in Drug Discovery. Pharmacological Reviews. https://doi.org/10.1124/pr.118.016790

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