Author
Listed:
- Balazs R. Varga
(Washington University School of Medicine)
- Sarah M. Bernhard
(Washington University School of Medicine)
- Amal El Daibani
(Washington University School of Medicine)
- Saheem A. Zaidi
(University of Southern California)
- Jordy H. Lam
(University of Southern California)
- Jhoan Aguilar
(Washington University School of Medicine)
- Kevin Appourchaux
(Washington University School of Medicine)
- Antonina L. Nazarova
(University of Southern California)
- Alexa Kouvelis
(Washington University School of Medicine)
- Ryosuke Shinouchi
(University of Florida)
- Haylee R. Hammond
(University of Florida)
- Shainnel O. Eans
(University of Florida)
- Violetta Weinreb
(University of North Carolina Chapel Hill)
- Elyssa B. Margolis
(University of California)
- Jonathan F. Fay
(University of Maryland Baltimore)
- Xi-Ping Huang
(University of North Carolina Chapel Hill)
- Amynah Pradhan
(Washington University School of Medicine)
- Vsevolod Katritch
(University of Southern California)
- Jay P. McLaughlin
(University of Florida)
- Susruta Majumdar
(Washington University School of Medicine)
- Tao Che
(Washington University School of Medicine)
Abstract
Chronic pain and opioid overdose deaths highlight the need for non-addictive analgesics with novel mechanisms. The δ opioid receptor (δOR) is a promising target, as it lacks the respiratory depression associated with µ opioid receptor (µOR) agonists. However, early δOR full agonists caused seizures, limiting their clinical use. Partial δOR agonists may offer more controlled receptor activation than full agonists, but their development has been hindered by uncertainty regarding the molecular mechanism of partial agonism. Here we show that C6-Quino, a bitopic ligand developed through structure-based design, acts as a selective δOR partial agonist. Functional studies reveal that C6-Quino shows differential activity at G-protein and arrestin pathways and interacts with the sodium binding pocket, confirmed through cryo-EM analysis. C6-Quino demonstrates oral activity, analgesic activity in chronic pain models without causing δOR-related seizures and µOR-related adverse effects which have limited opioid usage in recent times. This discovery outlines a new strategy for developing δOR-targeted analgesics and provides a framework for optimizing signaling profiles of other Class A GPCRs.
Suggested Citation
Balazs R. Varga & Sarah M. Bernhard & Amal El Daibani & Saheem A. Zaidi & Jordy H. Lam & Jhoan Aguilar & Kevin Appourchaux & Antonina L. Nazarova & Alexa Kouvelis & Ryosuke Shinouchi & Haylee R. Hammo, 2025.
"Structure-guided design of partial agonists at an opioid receptor,"
Nature Communications, Nature, vol. 16(1), pages 1-15, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57734-5
DOI: 10.1038/s41467-025-57734-5
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57734-5. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.