Graduate School of Pharmaceutical Sciences, Tohoku University, 6-3, Aoba, Aramaki, Aoba-ku, Sendai, Miyagi 980-8578, Japan.
J Biochem. 2024 Mar 25;175(4):367-376. doi: 10.1093/jb/mvae013.
Biased signaling, also known as functional selectivity, has emerged as an important concept in drug development targeting G-protein-coupled receptors (GPCRs). Drugs that provoke biased signaling are expected to offer an opportunity for enhanced therapeutic effectiveness with minimized side effects. Opioid analgesics, whilst exerting potent pain-relieving effects, have become a social problem owing to their serious side effects. For the development of safer pain medications, there has been extensive exploration of agonists with a distinct balance of G-protein and β-arrestin (βarr) signaling. Recently, several approaches based on protein-protein interactions have been developed to precisely evaluate individual signal pathways, paving the way for the comprehensive analysis of biased signals. In this review, we describe an overview of bias signaling in opioid receptors, especially the μ-opioid receptor (MOR), and how to evaluate signaling bias in the GPCR field. We also discuss future directions for rational drug development through the integration of diverse signal datasets.
偏向信号,也称为功能选择性,已成为靶向 G 蛋白偶联受体 (GPCR) 的药物开发中的一个重要概念。预计引发偏向信号的药物将提供提高治疗效果同时最小化副作用的机会。阿片类镇痛药虽然具有强大的止痛效果,但由于其严重的副作用,已成为一个社会问题。为了开发更安全的止痛药,人们广泛探索具有独特 G 蛋白和β-arrestin(βarr)信号平衡的激动剂。最近,已经开发了几种基于蛋白质-蛋白质相互作用的方法来精确评估单个信号通路,为全面分析偏向信号铺平了道路。在这篇综述中,我们描述了阿片受体(特别是 μ 阿片受体(MOR))中偏向信号的概述,以及如何在 GPCR 领域评估信号偏向。我们还讨论了通过整合多样化的信号数据集进行合理药物开发的未来方向。