通用大麻素 CB1 和 CB2 受体 TR-FRET 动力配体结合测定。

Leire Borrega-Roman, Bradley L. Hoare, Miroslav Kosar, Roman C. Sarott, Kacper J. Patej, Jara Bouma, Morgan Scott-Dennis, Eline J. Koers, Thais Gazzi, Leonard Mach, Sergio Barrondo, Joan Salles, Wolfgang Guba, Eric Kusznir, Marc Nazare, Arne C. Rufer, Uwe Grether, Laura H. Heitman, Erick M. Carreira, David A. Sykes, Dmitry B. Veprintsev
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引用次数: 0

摘要

引言:配体与 G 蛋白偶联受体(GPCR)结合的动力学是对分子进行临床前评估的一个重要决定因素。因此,在任何药物开发计划中都应努力测量这一特性。最初用于评估配体结合动力学的检测方法是使用放射性配体开发的。然而,这类检测方法非常耗费人力,因此只能应用于药物发现过程的后期阶段。最近,针对多种 GPCR 开发出了基于荧光的配体结合测定法,通过均一的格式和连续的数据采集能力证明了其优越性。本研究的首要目的是开发一种基于荧光的同质配体结合测定法,以分析化合物与人类大麻素 1 型和 2 型受体(CB1R 和 CB2R)结合的动力学。方法:我们设计并合成了 D77,这是一种基于亲和力较低的非选择性天然精神活性大麻素 delta8-THC 的新型通用示踪剂。利用 TR-FRET(时间分辨福斯特共振能量转移)技术开发了一种检测方法,用于研究配体在生理温度下与 CB1R 和 CB2R 结合的动力学。为了建立一个适合这种检测方法的 CB1R 构建体,我们必须截短灵活的 CB1R N 端结构域的前 90 个氨基酸,以减少隐色酸铽(供体)与荧光配体(受体)之间的 FRET 距离,而全长的 CB2R 构建体由于 N 端较短而仍能发挥作用。然后,我们使用 Motulsky-Mahan 竞争结合模型研究了非荧光配体的结合动力学。结果:D77 示踪剂与截短的人类 CB1R(CB1R91-472)和全长 CB2R(CB2R1-360)的亲和力在纳摩尔范围内,与正交配体的结合行为具有竞争性。最重要的是,D77 显示出与 CB1R 和 CB2R 快速解离的动力学特性,可与测试过的解离速度最快的参考化合物相媲美。事实证明,D77 的这一独特性质对于准确确定解离速度最快的化合物的导通和断开速度至关重要。利用 D77,我们成功测定了一系列 CB1R 和 CB2R 激动剂和拮抗剂在 37 摄氏度下的动力学结合特性,其中包括利莫那班。讨论:从结合速度最慢的化合物 HU308 到结合速度最快的利莫那班,结合 CB1R 的分子的 kon 值显示出三个数量级的差异。有趣的是,我们发现与 CB1R 结合的化合物的 kon 与亲和力之间存在很强的相关性,这表明结合速度是决定化合物与 CB1R 结合亲和力的主要参数。对于与 CB2R 结合的化合物,kon 和 koff 参数都是亲和力的决定因素。然而,与 CB1R 不同的是,解离常数速率参数与这些分子的亲和力之间存在更强的相关性,这表明 kon 和 koff 的组合决定了与 CB2R 结合的化合物的总体亲和力。最终,探索潜在大麻素候选药物的动力学参数有助于未来针对这些受体的药物开发计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A universal cannabinoid CB1 and CB2 receptor TR-FRET kinetic ligand binding assay.
INTRODUCTION: The kinetics of ligand binding to G protein-coupled receptors (GPCRs) is an important determining factor in the preclinical evaluation of a molecule. Therefore, efforts should be made to measure this property as part of any drug development plan. The original assays used to assess ligand binding kinetics were developed using radioligands. However, these types of assays are very labor-intensive, limiting their application to the later phases of the drug discovery process. Recently, fluorescence-based ligand binding assays have been developed for multiple GPCRs, demonstrating their superiority through a homogeneous format and continuous data acquisition capabilities. The overriding aim of this study was to develop a fluorescence-based homogeneous ligand binding assay to profile the kinetics of compounds binding to human cannabinoid type 1 and 2 receptors (CB1R and CB2R). METHODS: We designed and synthesized D77, a novel universal tracer based on the lower affinity non-selective naturally occurring psychoactive cannabinoid, delta8-THC. Using the TR-FRET (time-resolved Forster resonance energy transfer) technique to develop an assay to study the kinetics of ligand binding to CB1R and CB2R at physiological temperature. To establish a CB1R construct suitable for this assay, it was necessary to truncate the first 90 amino acids of the flexible CB1R N-terminal domain, in order to reduce the FRET distance between the terbium cryptate (donor) and the fluorescent ligand (acceptor), while the full length CB2R construct remained functional due to its shorter N-terminus. We then used the Motulsky-Mahan competition binding model to study the binding kinetics of non-fluorescent ligands. RESULTS: D77 tracer displayed affinity for the truncated human CB1R (CB1R91-472) and full length CB2R (CB2R1-360) in the nanomolar range, and competitive binding behavior with orthosteric ligands. Crucially, D77 displayed fast dissociation kinetics from both CB1R and CB2R, comparable to those of the most rapidly dissociating reference compounds tested. This unique property of D77 proved pivotal to accurately determining the on- and off-rates of the fastest dissociating compounds. Using D77, we successfully determined the kinetic binding properties of a series of CB1R and CB2R agonists and antagonists at 37 degrees C, including rimonabant, which was marketed for the treatment of obesity but later withdrawn due to serious neurological side effects. DISCUSSION: The kon values of molecules binding CB1R showed a difference of three orders of magnitude from the slowest associating compound, HU308 to the most rapid, rimonabant. Interestingly, we found a strong correlation between kon and affinity for compounds binding to CB1R, suggesting that the association rate is the main parameter determining the affinity of compounds binding to CB1R. For compounds binding to CB2R, both kon and koff parameters contributed as affinity determinants. However, in contrast to CB1R, a stronger correlation was found between the dissociation constant rate parameter and the affinity of these molecules, suggesting that a combination of kon and koff dictates the overall affinity of compounds binding to CB2R. Ultimately, exploring the kinetic parameters of potential cannabinoid drug candidates could help future drug development programs targeting these receptors.
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