Biased Agonism as an Emerging Strategy in the Search for Better Opioid Analgesics

被引:12
|
作者
Piekielna-Ciesielska, Justyna [1 ]
Wtorek, Karol [1 ]
Janecka, Anna [1 ]
机构
[1] Med Univ Lodz, Dept Biomol Chem, Mazowiecka 6-8, PL-92215 Lodz, Poland
关键词
Opioid receptors; opioid peptides; antinociceptive activity; biased agonism; bias factor; morphine; MU-AGONIST/DELTA-ANTAGONIST; ENDOMORPHIN ANALOGS; RECEPTOR AGONIST; FUNCTIONAL SELECTIVITY; TOLERANCE; LIGANDS; POTENT; PAIN; EXPRESSION; DISCOVERY;
D O I
10.2174/0929867326666190506103124
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Morphine and related drugs that act through activating opioid receptors are the most effective analgesics for the relief of severe pain. They have been used for decades, despite the range of unwanted side effects that they produce, as no alternative has been found so far. The major goal of opioid research is to understand the mechanism of action of opioid receptor agonists and to improve the therapeutic utility of opioid drugs. In the search for safer and more potent analgesics, analogs with mixed opioid receptor profile gained a lot of interest. However, recently the concept of biased agonism, that highlights the fact that some ligands are able to differentially activate receptor downstream pathways, became a new approach in the design of novel drug candidates for clinical application. In this review, we summarize current knowledge on the development of opioid ligands of peptide and non-peptide structure, showing how much opioid pharmacology evolved in recent years.
引用
收藏
页码:1562 / 1575
页数:14
相关论文
共 50 条
  • [31] Hyperactivity in Mice Induced by Opioid Agonists with Partial Intrinsic Efficacy and Biased Agonism Administered Alone and in Combination with Morphine
    Acevedo-Canabal, Agnes
    Grim, Travis W.
    Schmid, Cullen L.
    McFague, Nina
    Stahl, Edward L.
    Kennedy, Nicole M.
    Bannister, Thomas D.
    Bohn, Laura M.
    BIOMOLECULES, 2023, 13 (06)
  • [32] The endomorphin-1/2 and dynorphin-B peptides display biased agonism at the mu opioid receptor
    LaVigne, Justin
    Keresztes, Attila
    Chiem, Daniel
    Streicher, John M.
    PHARMACOLOGICAL REPORTS, 2020, 72 (02) : 465 - 471
  • [33] Biased agonism of clinically approved μ-opioid receptor agonists and TRV130 is not controlled by binding and signaling kinetics
    Pedersen, Mie Fabricius
    Wrobel, Tomasz Marcin
    Marcher-Rorsted, Emil
    Pedersen, Daniel Sejer
    Moller, Thor Christian
    Gabriele, Federica
    Pedersen, Henrik
    Matosiuk, Dariusz
    Foster, Simon Richard
    Bouvier, Michel
    Brauner-Osborne, Hans
    NEUROPHARMACOLOGY, 2020, 166
  • [34] The endomorphin-1/2 and dynorphin-B peptides display biased agonism at the mu opioid receptor
    Justin LaVigne
    Attila Keresztes
    Daniel Chiem
    John M. Streicher
    Pharmacological Reports, 2020, 72 : 465 - 471
  • [35] SEARCH OF A NEW STRATEGY FOR BETTER HUMAN SETTLEMENTS
    HONJO, M
    HABITAT INTERNATIONAL, 1978, 3 (3-4) : 403 - 406
  • [36] Updating a search strategy to track emerging nanotechnologies
    Zhinan Wang
    Alan L. Porter
    Seokbeom Kwon
    Jan Youtie
    Philip Shapira
    Stephen F. Carley
    Xiaoyu Liu
    Journal of Nanoparticle Research, 2019, 21
  • [37] Updating a search strategy to track emerging nanotechnologies
    Wang, Zhinan
    Porter, Alan L.
    Kwon, Seokbeom
    Youtie, Jan
    Shapira, Philip
    Carley, Stephen F.
    Liu, Xiaoyu
    JOURNAL OF NANOPARTICLE RESEARCH, 2019, 21 (09)
  • [38] Biased Agonism as a Novel Strategy To Harness the Proresolving Properties of Melanocortin Receptors without Eliciting Melanogenic Effects
    Montero-Melendez, Trinidad
    Gobbetti, Thomas
    Cooray, Sadani N.
    Jonassen, Thomas E. N.
    Perretti, Mauro
    JOURNAL OF IMMUNOLOGY, 2015, 194 (07): : 3381 - 3388
  • [39] Biased Agonism of the Angiotensin II Type I Receptor A Potential Strategy for the Treatment of Acute Heart Failure
    Ikeda, Yuichi
    Kumagai, Hidetoshi
    Motozawa, Yoshihiro
    Suzuki, Jun-ichi
    Komuro, Issei
    INTERNATIONAL HEART JOURNAL, 2015, 56 (05) : 485 - 488
  • [40] Bat Algorithm is Better Than Intermittent Search Strategy
    Yang, Xin-She
    Deb, Suash
    Fong, Simon
    JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, 2014, 22 (03) : 223 - 237