Zeilinger Markus, Pichler Florian, Nics Lukas, Wadsak Wolfgang, Spreitzer Helmut, Hacker Marcus, Mitterhauser Markus
Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Radiopharmacy and Experimental Nuclear Medicine, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Faculty of Engineering, University of Applied Sciences Wiener Neustadt, Wiener Neustadt, Austria.
EJNMMI Res. 2017 Dec;7(1):22. doi: 10.1186/s13550-016-0249-9. Epub 2017 Mar 7.
Resolving the kinetic mechanisms of biomolecular interactions have become increasingly important in early-phase drug development. Since traditional in vitro methods belong to dose-dependent assessments, binding kinetics is usually overlooked. The present study aimed at the establishment of two novel experimental approaches for the assessment of binding affinity of both, radiolabelled and non-labelled compounds targeting the AR, based on high-resolution real-time data acquisition of radioligand-receptor binding kinetics. A novel time-resolved competition assay was developed and applied to determine the K of eight different AR antagonists, using CHO-K1 cells stably expressing the hAR. In addition, a new kinetic real-time cell-binding approach was established to quantify the rate constants k and k , as well as the dedicated K of the AR agonist [I]-AB-MECA. Furthermore, lipophilicity measurements were conducted to control influences due to physicochemical properties of the used compounds.
Two novel real-time cell-binding approaches were successfully developed and established. Both experimental procedures were found to visualize the kinetic binding characteristics with high spatial and temporal resolution, resulting in reliable affinity values, which are in good agreement with values previously reported with traditional methods. Taking into account the lipophilicity of the AR antagonists, no influences on the experimental performance and the resulting affinity were investigated.
Both kinetic binding approaches comprise tracer administration and subsequent binding to living cells, expressing the dedicated target protein. Therefore, the experiments resemble better the true in vivo physiological conditions and provide important markers of cellular feedback and biological response.
解析生物分子相互作用的动力学机制在药物研发早期阶段变得越来越重要。由于传统的体外方法属于剂量依赖性评估,结合动力学通常被忽视。本研究旨在建立两种新的实验方法,基于放射性配体-受体结合动力学的高分辨率实时数据采集,评估靶向雄激素受体(AR)的放射性标记和非放射性标记化合物的结合亲和力。开发并应用了一种新的时间分辨竞争测定法,使用稳定表达人AR的CHO-K1细胞来测定八种不同AR拮抗剂的解离常数(K)。此外,建立了一种新的动力学实时细胞结合方法,以量化AR激动剂[I]-AB-MECA的速率常数k1和k2以及专用解离常数(Kd)。此外,还进行了亲脂性测量,以控制所用化合物的物理化学性质带来的影响。
成功开发并建立了两种新的实时细胞结合方法。发现这两种实验方法都能以高空间和时间分辨率可视化动力学结合特征,从而得到可靠的亲和力值,这些值与先前用传统方法报道的值高度一致。考虑到AR拮抗剂的亲脂性,未研究其对实验性能和所得亲和力的影响。
两种动力学结合方法都包括示踪剂给药以及随后与表达专用靶蛋白的活细胞结合。因此,这些实验更类似于真实的体内生理条件,并提供了细胞反馈和生物学反应的重要标志物。