Biased signaling by endogenous opioid peptides.
Ivone GomesSalvador SierraLindsay LueptowAchla GuptaShawn GoutyElyssa B MargolisBrian M CoxLakshmi A DeviPublished in: Proceedings of the National Academy of Sciences of the United States of America (2020)
Opioids, such as morphine and fentanyl, are widely used for the treatment of severe pain; however, prolonged treatment with these drugs leads to the development of tolerance and can lead to opioid use disorder. The "Opioid Epidemic" has generated a drive for a deeper understanding of the fundamental signaling mechanisms of opioid receptors. It is generally thought that the three types of opioid receptors (μ, δ, κ) are activated by endogenous peptides derived from three different precursors: Proopiomelanocortin, proenkephalin, and prodynorphin. Posttranslational processing of these precursors generates >20 peptides with opioid receptor activity, leading to a long-standing question of the significance of this repertoire of peptides. Here, we address some aspects of this question using a technical tour de force approach to systematically evaluate ligand binding and signaling properties ([35S]GTPγS binding and β-arrestin recruitment) of 22 peptides at each of the three opioid receptors. We show that nearly all tested peptides are able to activate the three opioid receptors, and many of them exhibit agonist-directed receptor signaling (functional selectivity). Our data also challenge the dogma that shorter forms of β-endorphin do not exhibit receptor activity; we show that they exhibit robust signaling in cultured cells and in an acute brain slice preparation. Collectively, this information lays the groundwork for improved understanding of the endogenous opioid system that will help in developing more effective treatments for pain and addiction.
Keyphrases
- chronic pain
- pain management
- amino acid
- intensive care unit
- healthcare
- computed tomography
- hepatitis b virus
- endothelial cells
- magnetic resonance
- binding protein
- electronic health record
- combination therapy
- deep learning
- cell cycle arrest
- spinal cord injury
- pi k akt
- subarachnoid hemorrhage
- health information
- mechanical ventilation
- molecularly imprinted