Literature DB >> 26341407

Label-free assay for the assessment of nonspecific binding of positron emission tomography tracer candidates.

Frauke Assmus1, Anna Seelig2, Luca Gobbi3, Edilio Borroni4, Patricia Glaentzlin5, Holger Fischer6.   

Abstract

Positron emission tomography (PET) is a valuable non-invasive technique for the visualization of drug tissue distribution and receptor occupancy at the target site in living animals and men. Many potential PET tracers, however, fail due to an unfavorably high non-specific binding (NSB) to non-target proteins and phospholipid membranes which compromises the sensitivity of PET. Hence, there is a high demand to assess the extent of NSB as early as possible in the PET tracer development process, preferentially before ligands are radiolabeled and elaborate imaging studies are performed. The purpose of this study was to establish a novel Lipid Membrane Binding Assay (LIMBA) for assessing the tendency of potential tracers to bind non-specifically to brain tissue. The assay works with unlabeled compounds and allows the medium-throughput measurement of brain tissue/water distribution coefficients, logDbrain (pH7.4), at minimal expense of animal tissue. To validate LIMBA, logDbrain (pH7.4) values were measured and compared with NSB estimates derived from in vivo PET studies in human brain (n=10 tracers, literature data), and in vitro autoradiography studies in rat and mouse brain slices (n=30 tritiated radioligands). Good agreement between logDbrain (pH7.4) and the volume of distribution in brain of non-specifically bound tracer in PET was achieved, pertaining to compounds classified as non-substrates of P-glycoprotein (R(2)≥0.88). The ability of LIMBA for the prediction of NSB was further supported by the strong correlation between logDbrain (pH7.4) and NSB in brain autoradiography (R(2)≥0.76), whereas octanol/water distribution coefficients, logDoct (pH7.4) were less predictive. In conclusion, LIMBA provides a fast and reliable tool for identifying compounds with unfavorably high NSB in brain tissue. The data may be used in conjunction with other parameters like target affinity, density and membrane permeability for the selection of most promising compounds to be further investigated in vivo as potential novel PET tracers.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Lipophilicity; Nonspecific binding; PET tracer; Positron emission tomography; Tissue binding

Mesh:

Year:  2015        PMID: 26341407     DOI: 10.1016/j.ejps.2015.08.014

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  4 in total

Review 1.  Considerations in the Development of Reversibly Binding PET Radioligands for Brain Imaging.

Authors:  Victor W Pike
Journal:  Curr Med Chem       Date:  2016       Impact factor: 4.530

Review 2.  Microdialysis: the Key to Physiologically Based Model Prediction of Human CNS Target Site Concentrations.

Authors:  Yumi Yamamoto; Meindert Danhof; Elizabeth C M de Lange
Journal:  AAPS J       Date:  2017-03-09       Impact factor: 4.009

3.  Unbound Brain-to-Plasma Partition Coefficient, Kp,uu,brain-a Game Changing Parameter for CNS Drug Discovery and Development.

Authors:  Irena Loryan; Andreas Reichel; Bo Feng; Christoffer Bundgaard; Christopher Shaffer; Cory Kalvass; Dallas Bednarczyk; Denise Morrison; Dominique Lesuisse; Edmund Hoppe; Georg C Terstappen; Holger Fischer; Li Di; Nicola Colclough; Scott Summerfield; Stephen T Buckley; Tristan S Maurer; Markus Fridén
Journal:  Pharm Res       Date:  2022-04-11       Impact factor: 4.580

4.  Entrectinib, a TRK/ROS1 inhibitor with anti-CNS tumor activity: differentiation from other inhibitors in its class due to weak interaction with P-glycoprotein.

Authors:  Holger Fischer; Mohammed Ullah; Cecile C de la Cruz; Thomas Hunsaker; Claudia Senn; Thomas Wirz; Björn Wagner; Dragomir Draganov; Faye Vazvaei; Massimiliano Donzelli; Axel Paehler; Mark Merchant; Li Yu
Journal:  Neuro Oncol       Date:  2020-06-09       Impact factor: 12.300

  4 in total

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