Tuning the properties of tris(hydroxypyridinone) ligands: efficient <sup>68</sup>Ga chelators for PET imaging
Bibliographic record
Abstract
The prototype tris(1,6-dimethyl-3-hydroxypyridin-4-one) chelator for gallium-68, THPMe, has shown great promise for rapid and efficient kit-based 68Ga labelling of PET radiopharmaceuticals. Peptide derivatives of THPMe have been used to image expression of their target receptors in vivo in preclinical and clinical studies. Herein we describe new synthetic routes to the THP platform including replacing the 1,6-dimethyl-3-hydroxypyridin-4-one N1-CH3 group of THPMe with O (tris(6-methyl-3-hydroxypyran-4-one, THPO) and N1-H (tris(6-methyl-3-hydroxypyridin-4-one), THPH) groups. The effect of these structural modifications on lipophilicity, gallium binding and metal ion selectivity was investigated. THPH was able to bind 68Ga in extremely mild conditions (5 min, room temperature, pH 6, 1 μM ligand concentration) and, notably, in vivo, when administered to a mouse previously injected with 68Ga acetate. The 67Ga radiolabelled complex was stable in serum for more than 7 days. [68Ga(THPH)] displayed a log P value of -2.40 ± 0.02, less negative than the log P = -3.33 ± 0.02 measured for [68Ga(THPMe)], potentially due to an increase in intramolecular hydrogen bonding attributable to the N1-H pyridinone units. Spectrophotometric determination of the Ga3+/Fe3+ complex formation constants for both THPMe and THPH revealed their preference for binding Ga3+ over Fe3+, which enabled selective labelling with 68Ga3+ in the presence of a large excess of Fe3+ in both cases. Compared to THPMe, THPH showed significantly reduced affinity for Fe3+, increased affinity for Ga3+ and improved radiolabelling efficiency. THPO was inferior to both THPH and THPMe in terms of labelling efficiency, but its benzylated precursor Bn-THPO (tris(6-methyl-3-benzyloxypyran-4-one)) provides a potential platform for the synthesis of a library of THP compounds with tunable chemical properties and metal preferences.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".