Literature DB >> 34468132

Low Intrinsic Efficacy Alone Cannot Explain the Improved Side Effect Profiles of New Opioid Agonists.

Edward L Stahl1, Laura M Bohn1.   

Abstract

In a recent report in Science Signaling (Gillis, A., et al. Low intrinsic efficacy for G protein activation can explain the improved side effect profiles of new opioid agonists. Sci. Signaling 2020, 13, eaaz3140 10.1126/scisignal.aaz3140), it was suggested that low intrinsic agonism, and not biased agonism, leads to an improvement in the separation of potency in opioid-induced respiratory suppression versus antinociception. Although many of the compounds that were tested have been shown to display G protein signaling bias in prior publications, the authors conclude that because they cannot detect biased agonism in their cellular signaling studies the compounds are therefore not biased agonists. Rather, they conclude that it is low intrinsic efficacy that leads to the therapeutic window improvement. Intrinsic efficacy is the extent to which an agonist can stimulate a G protein-coupled receptor response in a system, while biased agonism takes into consideration not only the intrinsic efficacy but also the potency of an agonist in an assay. Herein, we have reanalyzed the data presented in the published work (10.1126/scisignal.aaz3140) [including the recent Erratum (10.1126/scisignal.abf9803)] to derive intrinsic efficacy and bias factors as ΔΔlog(τ/KA) and ΔΔlog(Emax/EC50), respectively. On the basis of this reanalysis, the data support the conclusion that biased agonism, favoring G protein signaling, was observed. Moreover, a conservation of rank order intrinsic efficacy was not observed upon comparing responses in each assay, further suggesting that multiple active receptor states were present. These observations agree with prior studies in which oliceridine, PZM21, and SR-17018 were first described as biased agonists with improvement in antinociception over respiratory suppression in mice. Therefore, the data in the Science Signaling paper provide strong corroborating evidence that G protein signaling bias may be a means of improving opioid analgesia while avoiding certain undesirable side effects.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 34468132      PMCID: PMC8885792          DOI: 10.1021/acs.biochem.1c00466

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.321


  8 in total

1.  Quantitative Super-Resolution Imaging for the Analysis of GPCR Oligomerization.

Authors:  Megan D Joseph; Elena Tomas Bort; Richard P Grose; Peter J McCormick; Sabrina Simoncelli
Journal:  Biomolecules       Date:  2021-10-12

Review 2.  Cellular Tolerance Induced by Chronic Opioids in the Central Nervous System.

Authors:  Sweta Adhikary; John T Williams
Journal:  Front Syst Neurosci       Date:  2022-06-28

3.  A comprehensive evaluation of the potential binding poses of fentanyl and its analogs at the µ-opioid receptor.

Authors:  Bing Xie; Alexander Goldberg; Lei Shi
Journal:  Comput Struct Biotechnol J       Date:  2022-05-14       Impact factor: 6.155

4.  Opioids and Their Receptors: Present and Emerging Concepts in Opioid Drug Discovery II.

Authors:  Richard M Van Rijn; Mariana Spetea
Journal:  Molecules       Date:  2022-05-13       Impact factor: 4.927

Review 5.  An updated assessment of the translational promise of G-protein-biased kappa opioid receptor agonists to treat pain and other indications without debilitating adverse effects.

Authors:  Alexander R French; Richard M van Rijn
Journal:  Pharmacol Res       Date:  2022-01-29       Impact factor: 7.658

6.  A retrospective comparative study of local anesthesia only and local anesthesia with sedation for percutaneous endoscopic lumbar discectomy.

Authors:  Liu Yang; Yu-Lin Pan; Chun-Zhi Liu; De-Xin Guo; Xin Zhao
Journal:  Sci Rep       Date:  2022-05-06       Impact factor: 4.996

7.  Asymmetric Syntheses of (+)- and (-)-Collybolide Enable Reevaluation of kappa-Opioid Receptor Agonism.

Authors:  Sophia L Shevick; Stephan M Freeman; Guanghu Tong; Robin J Russo; Laura M Bohn; Ryan A Shenvi
Journal:  ACS Cent Sci       Date:  2022-07-18       Impact factor: 18.728

8.  A Journey through Diastereomeric Space: The Design, Synthesis, In Vitro and In Vivo Pharmacological Activity, and Molecular Modeling of Novel Potent Diastereomeric MOR Agonists and Antagonists.

Authors:  Dana R Chambers; Agnieszka Sulima; Dan Luo; Thomas E Prisinzano; Alexander Goldberg; Bing Xie; Lei Shi; Carol A Paronis; Jack Bergman; Nima Nassehi; Dana E Selley; Gregory H Imler; Arthur E Jacobson; Kenner C Rice
Journal:  Molecules       Date:  2022-09-30       Impact factor: 4.927

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.