Design, Synthesis, and Biological Evaluation of Triazole-Linked Lignan–Monoterpenoid-Based Hybrid Molecules as Xanthine Oxidase Inhibitors with Potent In Vivo Efficacy
Bibliographic record
Abstract
A novel series of triazole-tethered monoterpenoid–lignan hybrid molecules has been designed to target xanthine oxidase (XO), the enzyme responsible for hyperuricemia when it is up-regulated, resulting in gout and other metabolic disorders. Designed molecules were synthesized and initially evaluated for their XO inhibitory potential, and MT7 was most active (XO: IC 50 = 0.263 ± 0.06 μM) with radical scavenging efficacy. MT7 showed higher cytotoxic potential against XO harboring cancer cells (MBDA-MB-231 breast cancer cells) than non-XO-harboring cells (A547 skin cancer cells), confirming intracellular XO inhibition. MT7 was nontoxic to mouse fibroblast cells (L929) and had favorable pharmacokinetic profiles. In vivo investigations in rodent-based animal models revealed the LD 50 (300 mg/kg) value of MT7 and a dose-dependent reduction in serum uric acid. Overall, this suggests MT7 as an effective lead molecule for further investigations as a potential clinical candidate for the management of hyperuricemia via XO inhibition.
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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) | 0.001 | 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".