Bias Factor and Therapeutic Window Correlate to Predict Safer Opioid Analgesics
Author(s) -
Cullen L. Schmid,
Nicole Kennedy,
Nicolette C. Ross,
Kimberly M. Lovell,
Zhizhou Yue,
Jenny Morgenweck,
Michael D. Cameron,
Thomas D. Bannister,
Laura Bohn
Publication year - 2017
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2017.10.035
Subject(s) - biology , g protein coupled receptor , receptor , functional selectivity , signal transduction , pharmacology , opioid , g protein , arrestin , bioinformatics , microbiology and biotechnology , genetics
Biased agonism has been proposed as a means to separate desirable and adverse drug responses downstream of G protein-coupled receptor (GPCR) targets. Herein, we describe structural features of a series of mu-opioid-receptor (MOR)-selective agonists that preferentially activate receptors to couple to G proteins or to recruit βarrestin proteins. By comparing relative bias for MOR-mediated signaling in each pathway, we demonstrate a strong correlation between the respiratory suppression/antinociception therapeutic window in a series of compounds spanning a wide range of signaling bias. We find that βarrestin-biased compounds, such as fentanyl, are more likely to induce respiratory suppression at weak analgesic doses, while G protein signaling bias broadens the therapeutic window, allowing for antinociception in the absence of respiratory suppression.
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