<sup>68</sup>Ga-Labeled TRAP-Based Glycoside Trimers for Imaging of the Functional Liver Reserve

The exclusive asialoglycoprotein receptor (ASGR) expression on hepatocytes makes it an attractive target for imaging of the functional liver reserve. Here, we present a set of TRAP-based glycoside trimers and evaluate their imaging properties compared to the gold standard [<sup>99m</sup>Tc]Tc-GSA. The click-chemistry-based synthesis approach provided easy access to trimeric low-molecular-weight compounds. Labeling with <sup>68</sup>Ga was carried out in high radiochemical yields (>99%). Complexes showed high stability and hydrophilicity. Protein binding ranged between 10 and 25%. Highest binding affinity (IC<sub>50</sub>) and best liver accumulation were found for [<sup>68</sup>Ga]Ga-<b>T3N3</b>, followed by [<sup>68</sup>Ga]Ga-<b>T3G3</b> and [<sup>68</sup>Ga]Ga-<b>T0G3</b>. Rapid elimination from the rest of the body resulted in excellent target-to-background ratios. Our studies confirmed that high ASGR uptake depends on the correct spacer design and that <i>N</i>-acetylgalactosamine improves targeting properties <i>in vivo</i>. Thus, [<sup>68</sup>Ga]Ga-<b>T3N3</b> represents a new low-molecular-weight radiopharmaceutical with pharmacokinetics similar to those of [<sup>99m</sup>Tc]Tc-GSA.

Authors

Institutions

Publication Details

Journal
Journal of Medicinal Chemistry
Published
2024-10-16
DOI
https://doi.org/10.1021/acs.jmedchem.4c02006
Citations
3
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
0.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

68Ga-Labeled TRAP-Based Glycoside Trimers for Imaging of the Functional Liver Reserve

Christoph Kreutz, Maximilian Alexander Zierke, Andreas M. Schmid, Kimia Samadikhah et al.
3 citations
Journal of Medicinal Chemistry
Glycosylation and Glycoproteins Research
0.70
article

68Ga-Labeled TRAP-Based Glycoside Trimers for Imaging of the Functional Liver Reserve

Christoph Kreutz, Maximilian Alexander Zierke, Andreas M. Schmid, Kimia Samadikhah, Roland Haubner, Christine Rangger
article en
3 citations

Abstract

The exclusive asialoglycoprotein receptor (ASGR) expression on hepatocytes makes it an attractive target for imaging of the functional liver reserve. Here, we present a set of TRAP-based glycoside trimers and evaluate their imaging properties compared to the gold standard [<sup>99m</sup>Tc]Tc-GSA. The click-chemistry-based synthesis approach provided easy access to trimeric low-molecular-weight compounds. Labeling with <sup>68</sup>Ga was carried out in high radiochemical yields (>99%). Complexes showed high stability and hydrophilicity. Protein binding ranged between 10 and 25%. Highest binding affinity (IC<sub>50</sub>) and best liver accumulation were found for [<sup>68</sup>Ga]Ga-<b>T3N3</b>, followed by [<sup>68</sup>Ga]Ga-<b>T3G3</b> and [<sup>68</sup>Ga]Ga-<b>T0G3</b>. Rapid elimination from the rest of the body resulted in excellent target-to-background ratios. Our studies confirmed that high ASGR uptake depends on the correct spacer design and that <i>N</i>-acetylgalactosamine improves targeting properties <i>in vivo</i>. Thus, [<sup>68</sup>Ga]Ga-<b>T3N3</b> represents a new low-molecular-weight radiopharmaceutical with pharmacokinetics similar to those of [<sup>99m</sup>Tc]Tc-GSA.

Journal of Medicinal ChemistryVol. 67(21)
Siemens (Germany) (DE), Innsbruck Medical University (AT), Universität Innsbruck (AT), University of Tübingen (DE)
Austrian Science Fund
Openalex Percentile: Top 29%
Glycosylation and Glycoproteins Research
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.