Utilization of click chemistry to study the effect of poly(ethylene)glycol molecular weight on the self-assembly of PEGylated gambogic acid nanoparticles for the treatment of rheumatoid arthritis
Bibliographic record
Abstract
). NP-2000 and NP-5000 did not cause significant hemolytic toxicity, whereas NP-550 and free GA induced 90% and 60% hemolysis, respectively. NP-2000 was selected for further studies due to its improved safety, small size and low CMC. In cultured inflammatory macrophages, NP-2000 exhibited activity comparable to free GA in suppressing tumor necrosis factor-α. In mice, NP-2000 showed 185-fold improved drug exposure compared to free GA after intraperitoneal delivery. Treatment with free GA showed little anti-inflammatory activity compared to vehicle control in a murine model of rheumatoid arthritis. In contrast, NP-2000 significantly reduced the paw inflammation by 27% from day 15 to day 29. NP-2000 showed no visible signs of toxicity in mice, while free GA elicited significant irritation at the injection site. Our work emphasizes the importance of performing SAR studies for developing an optimal drug-polymer conjugate for self-assembly into NPs. We also demonstrate a unique application of click chemistry to robustly synthesize a small library of conjugates for the SAR study.
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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".