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Biased Allostery.

Stuart J Edelstein1, Jean-Pierre Changeux2

  • 1École Normale Supérieure, Institut de Biologie de l'ENS (IBENS), INSERM, CNRS, PSL Research University, Paris, France.

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|September 8, 2016
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Biased agonism in G-protein-coupled receptors (GPCRs) arises from distinct receptor conformations. This framework explains how agonists and cellular factors influence GPCR signaling through G-proteins or β-arrestins.

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Area of Science:

  • Biochemistry
  • Pharmacology
  • Structural Biology

Background:

  • G-protein-coupled receptors (GPCRs) are key membrane proteins mediating cellular responses to external signals.
  • GPCRs activate intracellular pathways via G-proteins and β-arrestins, leading to diverse physiological outcomes.
  • Biased agonism describes how specific agonists can preferentially activate either G-protein or β-arrestin pathways for the same receptor.

Purpose of the Study:

  • To propose a comprehensive allosteric framework for understanding biased agonism in GPCRs.
  • To investigate the role of preexisting receptor conformations in selective G-protein or β-arrestin binding.
  • To explore how cellular components and modulators influence the balance of GPCR signaling pathways.

Main Methods:

  • Development of a complete allosteric model for biased agonism.
  • Incorporation of reciprocal effects between GPCRs, G-proteins, β-arrestins, and agonists.
  • Simulations to analyze steric competition and linkage effects.

Main Results:

  • GPCRs exist in distinct conformations favoring either G-protein or β-arrestin binding.
  • G-proteins and β-arrestins are in steric competition for binding to the GPCR.
  • Agonist affinity is potentiated by G-protein/β-arrestin interactions, acting as allosteric modulators.

Conclusions:

  • Biased agonism is explained by alternative, preexisting GPCR conformations with differential affinities for G-proteins and β-arrestins.
  • Physiological concentrations, phosphorylation, and allosteric modulators fine-tune the balance of GPCR signaling.
  • The proposed framework offers testable hypotheses for distinguishing biased agonism mechanisms.