Quinazoline-2-Carboxamides as Selective PET Radiotracers for Matrix Metalloproteinase-13 Imaging in Atherosclerosis
Bibliographic record
Abstract
Matrix metalloproteinase-13 (MMP-13) plays a critical role in the progression of unstable atherosclerosis. A series of highly potent and selective MMP-13 inhibitors were synthesized around a quinazoline-2-carboxamide scaffold to facilitate radiolabeling with fluorine-18 or carbon-11 positron-emitting nuclides and visualization of atherosclerotic plaques. In vitro enzyme inhibition assays identified three compounds as promising radiotracer candidates. Efficient automated radiosyntheses provided [ 11 C]5b, [ 11 C]5f, and [ 18 F]5j and enabled pharmacokinetic characterization in atherosclerotic mice. The radiotracers displayed substantial differences in their distribution and excretion. Most favorably for vascular imaging, [ 18 F]5j exhibited low uptake in metabolic organs with minimal retention of myocardial radioactivity, substantial renal clearance, and high metabolic stability in plasma. Ex vivo aortic autoradiography and competition studies revealed that [ 18 F]5j specifically binds to MMP-13 within atherosclerotic plaques and localizes to lipid-rich regions. This study demonstrates the utility of the quinazoline-2-carboxamide scaffold for MMP-13 selective positron emission tomography (PET) radiotracer development and identifies [ 18 F]5j for imaging atherosclerosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".