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Harnessing the Anti-Nociceptive Potential of NK2 and NK3 Ligands in the Design of New Multifunctional μ/δ-Opioid Agonist-Neurokinin Antagonist Peptidomimetics

Overview
Journal Molecules
Publisher MDPI
Specialty Biology
Date 2021 Sep 10
PMID 34500841
Citations 2
Authors
Affiliations
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Abstract

Opioid agonists are well-established analgesics, widely prescribed for acute but also chronic pain. However, their efficiency comes with the price of drastically impacting side effects that are inherently linked to their prolonged use. To answer these liabilities, designed multiple ligands (DMLs) offer a promising strategy by co-targeting opioid and non-opioid signaling pathways involved in nociception. Despite being intimately linked to the Substance P (SP)/neurokinin 1 (NK1) system, which is broadly examined for pain treatment, the neurokinin receptors NK2 and NK3 have so far been neglected in such DMLs. Herein, a series of newly designed opioid agonist-NK2 or -NK3 antagonists is reported. A selection of reported peptidic, pseudo-peptidic, and non-peptide neurokinin NK2 and NK3 ligands were covalently linked to the peptidic μ-opioid selective pharmacophore Dmt-DALDA (H-Dmt-d-Arg-Phe-Lys-NH) and the dual μ/δ opioid agonist H-Dmt-d-Arg-Aba-βAla-NH (KGOP01). Opioid binding assays unequivocally demonstrated that only hybrids , and , bearing the KGOP01 scaffold, conserved nanomolar range μ-opioid receptor (MOR) affinity, and slightly reduced affinity for the δ-opioid receptor (DOR). Moreover, NK binding experiments proved that compounds , , and exhibited (sub)nanomolar binding affinity for NK2 and NK3, opening promising opportunities for the design of next-generation opioid hybrids.

Citing Articles

Design, Synthesis, and Characterization of Proteolytically-Stable Opioid-Neurotensin Hybrid Peptidomimetics.

Neve J, Breault E, Previti S, Vangeloven E, Loranger B, Chartier M ACS Pharmacol Transl Sci. 2024; 7(9):2784-2798.

PMID: 39296263 PMC: 11406707. DOI: 10.1021/acsptsci.4c00236.


Phylogenetic Analysis Provides Insight Into the Molecular Evolution of Nociception and Pain-Related Proteins.

Zhai R, Wang Q Evol Bioinform Online. 2023; 19:11769343231216914.

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