High‐yielding, automated radiosynthesis of [<sup>11</sup>C]martinostat using [<sup>11</sup>C]methyl triflate
Bibliographic record
Abstract
Histone deacetylases (HDACs) mediate epigenetic mechanisms implicated in a broad range of central nervous system dysfunction, including neurodegenerative diseases and neuropsychiatric disorders. [ 11 C]Martinostat allows in vivo quantification of class I/IIb HDACs and may be useful for the quantification of drug–occupancy relationship, facilitating drug development for disease modifying therapies. The present study reports a radiosynthesis of [ 11 C]martinostat using [ 11 C]methyl triflate in ethanol, as opposed to the originally described synthesis using [ 11 C]methyl iodide and DMSO. [ 11 C]Methyl triflate is trapped in a solution of 2 mg of precursor 1 dissolved in anhydrous ethanol (400 μl), reacted at ambient temperature for 5 min and purified by high‐performance liquid chromatography; 1.5–1.8 GBq (41–48 mCi; n = 3) of formulated [ 11 C]martinostat was obtained from solid‐phase extraction using a hydrophilic–lipophilic cartridge in a radiochemical yield of 11.4% ± 1.1% (nondecay corrected to trapped [ 11 C]MeI), with a molar activity of 369 ± 53 GBq/μmol (9.97 ± 1.3 Ci/μmol) at the end of synthesis (40 min) and validated for human use. This methodology was used at our production site to produce [ 11 C]martinostat in sufficient quantities of activity to scan humans, including losses incurred from decay during pre‐release quality control testing.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".