Structurally Minimalized and Druglike TGase2 Inhibitors Based on 7-Aminoquinoline-5,8-dione Scaffolds for the Treatment of Diabetic Retinopathy
Bibliographic record
Abstract
Diabetic retinopathy is a disease that can cause vision loss leading to blindness in people with diabetes. Improved methods to treat and prevent vision loss in diabetic patients are in high demand owing to limited current treatment procedures. Herein, we report a new class of transglutaminase 2 (TGase2) inhibitors for the treatment of diabetic retinopathy based on 7-aminoquinoline-5,8-dione derivatives. 7-Amino-2-phenylquinoline-5,8-dione 11 and 7-amino-2-{4-[(1-methylpiperidin-4-yl)oxy]phenyl}quinoline-5,8-dione 23 exhibited potent inhibitory activities against TGase2 in a fibrinogen array-based on-chip TGase2 activity assay and in an in situ assay in human retinal microvascular endothelial cells, with IC 50 values of 5.88 and 1.12 μM in vitro, and 0.09 and 0.07 μM in situ, respectively. Pharmacokinetically favorable 7-amino-2-{4-[(1-isopropylpiperidin-4-yl)oxy] phenyl}quinoline-5,8-dione 22 inhibited vascular leakage in the retinas of streptozotocin-induced diabetic mice via oral administration. Results from the AL5 kinetic assay and a molecular docking study suggest that the inhibitors may bind to TGase2 remote from the active site.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".