Bias factor and therapeutic window correlate to predict safer opioid analgesics

Autor: Cullen L. Schmid, Nicole M. Kennedy, Zhizhou Yue, Nicolette C. Ross, Jenny Morgenweck, Laura M. Bohn, Michael D. Cameron, Thomas D. Bannister, Kimberly M. Lovell
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Popis: 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.
Databáze: OpenAIRE