H<sub>4</sub>octapa: An Acyclic Chelator for <sup>111</sup>In Radiopharmaceuticals
Bibliographic record
Abstract
This preliminary investigation of the octadentate acyclic chelator H(4)octapa (N(4)O(4)) with (111)In/(115)In(3+) has demonstrated it to be an improvement on the shortcomings of the current industry "gold standards" DOTA (N(4)O(4)) and DTPA (N(3)O(5)). The ability of H(4)octapa to radiolabel quantitatively (111)InCl(3) at ambient temperature in 10 min with specific activities as high as 2.3 mCi/nmol (97.5% radiochemical yield) is presented. In vitro mouse serum stability assays have demonstrated the (111)In complex of H(4)octapa to have improved stability when compared to DOTA and DTPA over 24 h. Mouse biodistribution studies have shown that the radiometal complex [(111)In(octapa)](-) has exceptionally high in vivo stability over 24 h with improved clearance and stability compared to [(111)In(DOTA)](-), demonstrated by lower uptake in the kidneys, liver, and spleen at 24 h. (1)H/(13)C NMR studies of the [In(octapa)](-) complex revealed a 7-coordinate solution structure, which forms a single isomer and exhibits no observable fluxional behavior at ambient temperature, an improvement to the multiple isomers formed by [In(DTPA)](2-) and [In(DOTA)](-) under the same conditions. Potentiometric titrations have determined the thermodynamic formation constant of the [In(octapa)](-) complex to be log K(ML) = 26.8(1). Through the same set of analyses, the [(111/115)In(decapa)](2-) complex was found to have nonoptimal stability, with H(5)decapa (N(5)O(5)) being more suitable for larger metal ions due to its higher potential denticity (e.g., lanthanides and actinides). Our initial investigations have revealed the acyclic chelator H(4)octapa to be a valuable alternative to the macrocycle DOTA for use with (111)In, and a significant improvement to the acyclic chelator DTPA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".