Mechanism of β-arrestin recruitment by the μ-opioid G protein-coupled receptor

Amirhossein Mafi1, Soo-Kyung Kim1, William A Goddard2

  • 1Materials and Process Simulation Center (139-74), California Institute of Technology, Pasadena, CA 91125.

Insights

Biased opioid ligands offer pain relief with fewer side effects by selectively activating G protein signaling over β-arrestin signaling. This study reveals how biased agonists prevent β-arrestin2 binding to the μ-opioid receptor (μOR), paving the way for safer pain therapeutics.

Area of Science:

  • Pharmacology and Molecular Biology
  • Computational Chemistry and Biophysics

Background:

  • Opioid agonists activate the μ-opioid receptor (μOR) for pain relief via G protein signaling.
  • Non-selective activation also recruits β-arrestin, causing side effects like respiratory depression.
  • Biased ligands selectively activate G protein signaling, aiming to reduce side effects, but their mechanism is unclear.

Purpose of the Study:

  • To elucidate the structural mechanism by which biased ligands interact with the μOR and β-arrestin2.
  • To understand why nonbiased agonists and biased agonists induce different signaling outcomes.

Main Methods:

  • Extensive molecular dynamics simulations were employed.
  • Three-dimensional structures of activated β-arrestin2 stabilized by phosphorylated μOR were determined.
  • Interactions with nonbiased agonists (morphine, DAMGO) and a biased agonist (TRV130) were analyzed.

Main Results:

  • Nonbiased agonists and Gi protein compete for the same binding site on μOR, interacting with intracellular loops (ICLs) and transmembrane helix 6 (TM6).
  • Biased agonist TRV130 binds differently, interacting with extracellular portions of TM2 and TM3.
  • TRV130 repositions TM6, sterically hindering β-arrestin2 binding and reducing its affinity to the μOR.

Conclusions:

  • The distinct binding modes of biased vs. nonbiased agonists dictate β-arrestin2 recruitment.
  • TRV130's interaction with μOR prevents β-arrestin2 anchoring, explaining its biased signaling profile.
  • Understanding these structural differences is crucial for designing safer, biased opioid analgesics.

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