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Biased Signaling in Mutated Variants of β2-Adrenergic Receptor: Insights from Molecular Dynamics Simulations
Midhun K Madhu1, Kunal Shewani2, Rajesh K Murarka2
1Department of Biological Sciences, Indian Institute of Science Education and Research Bhopal, Bhopal Bypass Road, Bhopal, Madhya Pradesh 462066, India.
Abstract:
The molecular basis of receptor bias in G protein-coupled receptors (GPCRs) caused by mutations that preferentially activate specific intracellular transducers over others remains poorly understood. Two experimentally identified biased variants of β2-adrenergic receptors (β2AR), a prototypical GPCR, are a triple mutant (T68F, Y132A, and Y219A) and a single mutant (Y219A); the former bias the receptor toward the β-arrestin pathway by disfavoring G protein engagement, while the latter induces G protein signaling explicitly due to selection against GPCR kinases (GRKs) that phosphorylate the receptor as a prerequisite of β-arrestin binding. Though rigorous characterizations have revealed functional implications of these mutations, the atomistic origin of the observed transducer selectivity is not clear. In this study, we investigated the allosteric mechanism of receptor bias in β2AR using microseconds of all-atom Gaussian accelerated molecular dynamics (GaMD) simulations. Our observations reveal distinct rearrangements in transmembrane helices, intracellular loop 3, and critical residues R1313.50 and Y3267.53 in the conserved motifs D(E)RY and NPxxY for the mutant receptors, leading to their specific transducer interactions. Moreover, partial dissociation of G protein from the receptor core is observed in the simulations of the triple mutant in contrast to the single mutant and wild-type receptor. The reorganization of allosteric communications from the extracellular agonist BI-167107 to the intracellular receptor-transducer interfaces drives the conformational rearrangements responsible for receptor bias in the single and triple mutants. The molecular insights into receptor bias of β2AR presented here could improve the understanding of biased signaling in GPCRs, potentially opening new avenues for designing novel therapeutics with fewer side-effects and superior efficacy.
Insights
Molecular dynamics simulations reveal how mutations in β2-adrenergic receptors (β2AR) alter signaling pathways. These findings illuminate receptor bias mechanisms, aiding the design of targeted therapeutics with fewer side effects.
Area of Science:
- Biochemistry
- Molecular Biology
- Pharmacology
Background:
- G protein-coupled receptors (GPCRs) mediate cellular responses through diverse signaling pathways.
- Receptor bias, where mutations favor specific transducers (e.g., G proteins or β-arrestins), is poorly understood at the molecular level.
- β2-adrenergic receptors (β2AR) are a well-studied GPCR class, with identified mutants exhibiting distinct signaling biases.
Purpose of the Study:
- To elucidate the atomistic origins of transducer selectivity in β2AR receptor bias.
- To investigate the allosteric mechanisms underlying biased signaling in mutant β2AR variants.
- To provide molecular insights for designing GPCR-targeted therapeutics.
Main Methods:
- Utilized microsecond all-atom Gaussian accelerated molecular dynamics (GaMD) simulations.
- Analyzed conformational changes in transmembrane helices and intracellular loops.
- Examined interactions of critical residues (R131, Y326) and G protein dissociation.
Main Results:
- Identified distinct structural rearrangements in triple (T68F, Y132A, Y219A) and single (Y219A) β2AR mutants.
- Observed specific transducer interactions and partial G protein dissociation in the triple mutant.
- Revealed reorganization of allosteric communication pathways influencing receptor bias.
Conclusions:
- Mutations in β2AR induce distinct conformational changes that dictate transducer selectivity.
- Allosteric communication pathways are critical in mediating receptor bias.
- These molecular insights can guide the development of novel GPCR therapeutics with improved efficacy and reduced side effects.
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