» Articles » PMID: 39628318

Preclinical Validation and Kinetic Modelling of the SV2A PET Ligand [F]UCB-J in Mice

Abstract

Synaptic vesicle protein 2A (SV2A) is ubiquitously expressed in presynaptic terminals where it functions as a neurotransmission regulator protein. Synaptopathy has been reported during healthy ageing and in a variety of neurodegenerative diseases. Positron emission tomography (PET) imaging of SV2A can be used to evaluate synaptic density. The PET ligand [C]UCB-J has high binding affinity and selectivity for SV2A but has a short physical half-life due to the C isotope. Here we report the characterization and validation of its F-labeled equivalent, [F]UCB-J, in terms of specificity, reproducibility and stability in C57BL/6J mice. Plasma analysis revealed at least one polar radiometabolite. Kinetic modelling was performed using a population-based metabolite corrected image-derived input function (IDIF). [F]UCB-J showed relatively fast kinetics and a reliable measure of the IDIF-based volume of distribution (). [F]UCB-J specificity for SV2A was confirmed through a levetiracetam blocking assay (50 to 200 mg/kg). Reproducibility of the was determined through test-retest analysis, revealing significant correlation (r = 0.773,  < 0.0001). Time-stability analyses indicate a scan duration of 60 min to be sufficient to obtain a reliable . In conclusion, [F]UCB-J is a selective SV2A ligand with optimal kinetics in mice. Further investigation is warranted for (pre)clinical applicability of [F]UCB-J in synaptopathies.

References
1.
Thomsen M, Schacht A, Alstrup A, Jacobsen J, Lillethorup T, Baerentzen S . Preclinical PET Studies of [C]UCB-J Binding in Minipig Brain. Mol Imaging Biol. 2020; 22(5):1290-1300. DOI: 10.1007/s11307-020-01506-8. View

2.
Mercier J, Archen L, Bollu V, Carre S, Evrard Y, Jnoff E . Discovery of heterocyclic nonacetamide synaptic vesicle protein 2A (SV2A) ligands with single-digit nanomolar potency: opening avenues towards the first SV2A positron emission tomography (PET) ligands. ChemMedChem. 2014; 9(4):693-8. DOI: 10.1002/cmdc.201300482. View

3.
Koo T, Li M . A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J Chiropr Med. 2016; 15(2):155-63. PMC: 4913118. DOI: 10.1016/j.jcm.2016.02.012. View

4.
Miranda A, Staelens S, Stroobants S, Verhaeghe J . Motion Dependent and Spatially Variant Resolution Modeling for PET Rigid Motion Correction. IEEE Trans Med Imaging. 2020; 39(7):2518-2530. DOI: 10.1109/TMI.2019.2962237. View

5.
Tuncel H, Boellaard R, Coomans E, de Vries E, Glaudemans A, Feltes P . Kinetics and 28-day test-retest repeatability and reproducibility of [C]UCB-J PET brain imaging. J Cereb Blood Flow Metab. 2021; 41(6):1338-1350. PMC: 8138337. DOI: 10.1177/0271678X20964248. View