H<sub>4</sub>picoopa─Robust Chelate for <sup>225</sup>Ac/<sup>111</sup>In Theranostics
Bibliographic record
Abstract
The nuclear decay characteristics of 225Ac (Eα = 5–8 MeV, linear energy transfer (LET) = ∼100 keV/μm, t1/2 = 9.92 days) are well recognized as advantageous for the treatment of primary and metastatic tumors; however, suitable chelation systems are required, which can accommodate this radiometal. Since 225Ac does not possess any suitable low-energy, high abundance γ-ray emissions for nuclear imaging, there is a clear need for the development of other companion radionuclides with similar coordination characteristics and comparable half-lives, which can be applied in diagnostics. H4picoopa was designed and executed as a high-denticity ligand for chelation of [225Ac]Ac3+, and the complexation characteristics have been explored through nuclear magnetic resonance (NMR) spectroscopy, solution thermodynamic stability studies, and radiolabeling. The ligand shows highly favorable complexation with La3+ (pM = 17.6), Lu3+ (pM = 21.3), and In3+ (pM = 31.2) and demonstrates effective radiolabeling of both [225Ac]Ac3+ and [111In]In3+ ions achieving quantitative radiochemical conversions (RCCs) under mild conditions (RT, 10 min), accompanied by high serum stability (>97% radiochemical purity (RCP) over 6 days). A bifunctional analogue of H4picoopa was synthesized and conjugated to the Pip-Nle-CycMSHhex peptide for targeting of MC1R positive melanoma tumors. In vivo single-photon emission computed tomography (SPECT) and biodistribution studies of the 111In-radiolabeled bioconjugate in mice bearing B16-F10 tumors showed good radiotracer stability, although improved tumor targeting could not be achieved for imaging purposes. This work highlights H4picoopa as a very promising platform for application of [225Ac]Ac3+ and [111In]In3+ as a theranostic pair and allows great versatility for the incorporation of other directing vectors. The logical synthetic approach reported here for bifunctional H4picoopa, involving an azide-functionalized covalent linker and CuI-catalyzed alkyne-azide cycloaddition, allows for ease of optimization of bioconjugate pharmacokinetics and will be valuable for further radiopharmaceutical applications moving forward.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".