Innovative gelatin-based micelles with AS1411 aptamer targeting and reduction responsiveness for doxorubicin delivery in tumor therapy
Bibliographic record
Abstract
Herein, we constructed innovative reduction-sensitive and targeted gelatin-based micelles for doxorubicin (DOX) delivery in tumor therapy. AS1411 aptamer-modified gelatin-ss-tocopherol succinate (AGSST) and the control GSST without AS1411 modification were synthesized and characterized. Antitumor drug DOX-containing AGSST (AGSST-D) and GSST-D nanoparticles were prepared, and their shapes were almost spherical. Reduction-responsive characteristics of DOX release in vitro were revealed in AGSST-D and GSST-D. Compared with non-targeted GSST-D, AGSST-D demonstrated better intracellular uptake and stronger cytotoxicity against nucleolin-overexpressed A549 cells. Importantly, AGSST-D micelles showed more effective killing activity in A549-bearing mice than GSST-D and DOX⋅HCl. It was revealed that AGSST-D micelles had no obvious systemic toxicity. Overall, AGSST micelles would have the potential to be an effective drug carrier for targeted tumor therapy.
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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) | 0.000 | 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 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".