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偏向性信号传导及其在短效和长效β-肾上腺素能受体激动剂产生中的作用。

Biased Signaling and Its Role in the Genesis of Short- and Long-Acting β-Adrenoceptor Agonists.

作者信息

Phan Ngan T N, Borrega-Roman Leire, Hoare Bradley L, Harwood Clare R, Geary Natalie, Guba Wolfgang, Han Yongqi, Zenko Vladimirs, Koers Eline J, Rufer Arne C, Grether Uwe, Veprintsev Dmitry B, Sykes David A

机构信息

Division of Physiology, Pharmacology & Neuroscience, School of Life Sciences, University of Nottingham, Nottingham NG7 2UH, U.K.

Centre of Membrane Proteins and Receptors (COMPARE), University of Nottingham, Midlands, Nottingham NG7 2UH, U.K.

出版信息

Biochemistry. 2025 Aug 19;64(16):3585-3598. doi: 10.1021/acs.biochem.5c00148. Epub 2025 Aug 7.

Abstract

Drug discovery is a costly and time-intensive process that is often limited by efficacy issues and unforeseen side effects. GPCR-targeting ligands, which account for one-third of marketed drugs, have been shown to exhibit biased signaling and preferential activation of one signaling pathway over another. While designing biased ligands is a recent advancement, their therapeutic benefits remain uncertain. However, the success of existing drugs raises the following question: do they inherently exhibit signaling bias that enhances efficacy or safety? This study examines the signaling profiles of short- and long-acting βAR agonists (SABAs and LABAs), key treatments for asthma and COPD, using biosensors to measure G protein and β-arrestin coupling. Older SABAs, such as isoprenaline and isoetharine, show minor G protein bias, while newer agents, such as salbutamol, demonstrate significant G protein bias. Among LABAs, salmeterol shows greater G protein bias compared to that of the more balanced formoterol. This shift toward G protein bias over 50 years reflects efforts to improve asthma treatments. The increased bias results from reduced ligand-receptor residence times and weaker receptor-β-arrestin complex formation, contributing to the enhanced efficacy. Despite the potential advantages, a systematic evaluation of signaling bias remains underutilized in drug development. Early-stage, high-throughput tools to assess signaling profiles could improve candidate selection, reduce late-stage failures, and minimize side effects. We advocate for the routine integration of biosensors for quantifying signaling bias, optimizing compound selection, and enhancing therapeutic outcomes.

摘要

药物研发是一个成本高昂且耗时的过程,常常受到疗效问题和意外副作用的限制。占已上市药物三分之一的靶向G蛋白偶联受体(GPCR)的配体,已被证明会表现出偏向性信号传导,即优先激活一种信号通路而非另一种。虽然设计偏向性配体是一项近期的进展,但其治疗益处仍不明确。然而,现有药物的成功引发了以下问题:它们是否本质上就表现出能提高疗效或安全性的信号偏向性?本研究使用生物传感器来测量G蛋白和β-抑制蛋白的偶联,从而研究短效和长效β肾上腺素能受体激动剂(SABA和LABA)的信号传导特征,这两种药物是哮喘和慢性阻塞性肺疾病(COPD)的关键治疗药物。较老的SABA,如异丙肾上腺素和异他林,表现出轻微的G蛋白偏向性,而较新的药物,如沙丁胺醇,则表现出显著的G蛋白偏向性。在LABA中,与更为平衡的福莫特罗相比,沙美特罗表现出更大的G蛋白偏向性。50年来向G蛋白偏向性的这种转变反映了改善哮喘治疗的努力。偏向性增加是由于配体-受体停留时间缩短以及受体-β-抑制蛋白复合物形成减弱,从而提高了疗效。尽管有这些潜在优势,但在药物研发中,对信号偏向性的系统评估仍未得到充分利用。用于评估信号传导特征的早期高通量工具可以改善候选药物的选择,减少后期失败,并将副作用降至最低。我们主张常规整合生物传感器以量化信号偏向性、优化化合物选择并提高治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b04/12369021/7d09d7760dc8/bi5c00148_0001.jpg

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