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Mu Opioid Receptor Positive Allosteric Modulator BMS-986122 Confers Agonist-Dependent G Protein Subtype Signaling
Grant M Grieble1, Brian I Knapp1, Jean M Bidlack1
1Department of Pharmacology & Physiology, University of Rochester School of Medicine and Dentistry, Rochester, New York 14642, United States.
Abstract:
The mu opioid receptor (MOR) is a G protein-coupled receptor (GPCR) and is responsible for the effects of all medically used opioids. Most opioids activate all inhibitory Gαi/o/z proteins through MOR, initiating signaling events that culminate in a variety of physiological effects such as analgesia, euphoria, and respiratory depression. Gaining a better understanding of how the chemical structure of opioids influences the functional activation profiles of G protein subtypes by MOR is critical for disentangling the multitude of opioid effects and the development of safer analgesics. A recent development in opioid pharmacology has been the discovery of positive allosteric modulators (PAMs) for opioid receptors, such as BMS-986122, which act at the MOR to increase the potency of full agonists and the efficacy of partial agonists. Here, we utilized a nanoBRET-based functional assay system in live HEK 293T cells to study how the pharmacological properties of opioids were uniquely affected by BMS-986122 when the MOR signaled through specific inhibitory Gα subunits. We report that BMS-986122 differentially enhanced opioid activity when the MOR signaled through different Gα subunits with the greatest difference observed with partial agonists. Additionally, the binding affinity of BMS-986122 to the MOR was significantly altered by the co-binding Gα subunit. Site-directed mutagenesis experiments revealed key amino acid residue differences on Gαi/o subunits involved in the differential effects observed. This study sheds light on the molecular features of biased signaling for both opioid ligands and G proteins, which may prove useful for the further development of biased agonists or allosteric modulators at the MOR.
Insights
Positive allosteric modulators (PAMs) like BMS-986122 enhance mu opioid receptor (MOR) signaling differently depending on the specific G protein subtype. This differential effect, especially with partial agonists, offers new avenues for developing safer analgesics.
Area of Science:
- Pharmacology
- Molecular Biology
- Neuroscience
Background:
- The mu opioid receptor (MOR) mediates the effects of medically used opioids, influencing analgesia and respiratory depression.
- Understanding how opioid chemical structures affect MOR functional activation of G protein subtypes is key to developing safer analgesics.
- Positive allosteric modulators (PAMs) like BMS-986122 are emerging tools that enhance MOR agonist activity.
Purpose of the Study:
- To investigate how the MOR-selective PAM BMS-986122 uniquely affects opioid pharmacology when MOR signals through specific inhibitory Gα subunits.
- To explore the influence of different Gα subunits on BMS-986122 binding affinity and its modulation of opioid efficacy.
- To identify key amino acid residues in Gαi/o subunits responsible for differential signaling outcomes.
Main Methods:
- Utilized a nanoBRET-based functional assay in live HEK 293T cells to measure MOR signaling.
- Assessed the impact of BMS-986122 on opioid activity across different Gα subunits (Gαi/o/z).
- Employed site-directed mutagenesis on Gαi/o subunits to pinpoint critical amino acid residues.
Main Results:
- BMS-986122 demonstrated differential enhancement of opioid activity depending on the specific Gα subunit engaged by the MOR, with partial agonists showing the most pronounced differences.
- The binding affinity of BMS-986122 to the MOR was significantly modulated by the co-binding Gα subunit.
- Mutagenesis studies identified specific amino acid differences in Gαi/o subunits that underlie these differential signaling effects.
Conclusions:
- BMS-986122 exhibits biased allosteric modulation, enhancing MOR signaling in a Gα subunit-dependent manner.
- This Gα subunit-specific modulation by PAMs provides insights into biased opioid signaling.
- Findings may guide the rational design of novel biased agonists or allosteric modulators for safer opioid therapeutics.
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