Literature DB >> 29498414

A method for the quantification of biased signalling at constitutively active receptors.

David A Hall1, Jesús Giraldo2,3.   

Abstract

BACKGROUND AND
PURPOSE: Biased agonism, the ability of an agonist to differentially activate one of several signal transduction pathways when acting at a given receptor, is an increasingly recognized phenomenon at many receptors. The Black and Leff operational model lacks a way to describe constitutive receptor activity and hence inverse agonism. Thus, it is impossible to analyse the biased signalling of inverse agonists using this model. In this theoretical work, we develop and illustrate methods for the analysis of biased inverse agonism. EXPERIMENTAL APPROACH: Methods were derived for quantifying biased signalling in systems that demonstrate constitutive activity using the modified operational model proposed by Slack and Hall. The methods were illustrated using Monte Carlo simulations. KEY
RESULTS: The Monte Carlo simulations demonstrated that, with an appropriate experimental design, the model parameters are 'identifiable'. The method is consistent with methods based on the measurement of intrinsic relative activity (RAi ) (ΔΔlogR or ΔΔlog(τ/Ka )) proposed by Ehlert and Kenakin and their co-workers but has some advantages. In particular, it allows the quantification of ligand bias independently of 'system bias' removing the requirement to normalize to a standard ligand. CONCLUSIONS AND IMPLICATIONS: In systems with constitutive activity, the Slack and Hall model provides methods for quantifying the absolute bias of agonists and inverse agonists. This provides an alternative to methods based on RAi and is complementary to the ΔΔlog(τ/Ka ) method of Kenakin et al. in systems where use of that method is inappropriate due to the presence of constitutive activity.
© 2018 The British Pharmacological Society.

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Year:  2018        PMID: 29498414      PMCID: PMC5979750          DOI: 10.1111/bph.14190

Source DB:  PubMed          Journal:  Br J Pharmacol        ISSN: 0007-1188            Impact factor:   8.739


  29 in total

1.  The cubic ternary complex receptor-occupancy model. III. resurrecting efficacy.

Authors:  J M Weiss; P H Morgan; M W Lutz; T P Kenakin
Journal:  J Theor Biol       Date:  1996-08-21       Impact factor: 2.691

2.  Application of receptor theory to allosteric modulation of receptors.

Authors:  David A Hall
Journal:  Prog Mol Biol Transl Sci       Date:  2013       Impact factor: 3.622

Review 3.  Signalling bias in new drug discovery: detection, quantification and therapeutic impact.

Authors:  Terry Kenakin; Arthur Christopoulos
Journal:  Nat Rev Drug Discov       Date:  2012-02-15       Impact factor: 84.694

Review 4.  A Pluridimensional View of Biased Agonism.

Authors:  Claudio M Costa-Neto; Lucas T Parreiras-E-Silva; Michel Bouvier
Journal:  Mol Pharmacol       Date:  2016-09-16       Impact factor: 4.436

Review 5.  Functional studies cast light on receptor states.

Authors:  Frederick J Ehlert
Journal:  Trends Pharmacol Sci       Date:  2015-06-26       Impact factor: 14.819

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Journal:  Nature       Date:  2016-08-17       Impact factor: 49.962

7.  An operational model of pharmacological agonism: the effect of E/[A] curve shape on agonist dissociation constant estimation.

Authors:  J W Black; P Leff; N P Shankley; J Wood
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Journal:  J Pharmacol Exp Ther       Date:  2013-01-08       Impact factor: 4.030

Review 9.  On the analysis of ligand-directed signaling at G protein-coupled receptors.

Authors:  Frederick J Ehlert
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2008-02-06       Impact factor: 3.000

10.  A Complementary Scale of Biased Agonism for Agonists with Differing Maximal Responses.

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Journal:  Sci Rep       Date:  2017-11-13       Impact factor: 4.379

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Authors:  David A Hall; Jesús Giraldo
Journal:  Br J Pharmacol       Date:  2018-04-25       Impact factor: 8.739

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