A Facile Strategy for <i>In Situ</i> Controlled Delivery of Doxorubicin with a pH-Sensitive Injectable Hydrogel
Bibliographic record
Abstract
In light of the challenges along with the traditional intravenous administration of chemotherapeutics, injectable hydrogel-drug system emerges as a powerful tool for noninvasive and in situ controlled-release of drugs. Herein, we report a novel strategy of drug delivery system with pH responsive injectable hydrogels by taking advantages of two biomaterials. The first one is a pH sensitive polymer-drug (prodrug) conjugate, poly (ethylene glycol)–doxorubicin (MPEG–DOX) with hydrazone linkage. This prodrug interacted with a second biomaterial, α-cyclodextrin (α-CD) under mild conditions and subsequently formed the hydrogels in minutes with tunable stiffness. The gels showed a sustained release behavior dependent on the surrounding pH and released drugs effectively killed tumor cells (MCF-7). The quick cell uptake and efficient intracellular delivery of DOX were observed under a confocal microscope. This study thus provides a novel and simple drug encapsulation strategy to deliver poorly soluble drugs in situ for a potential targeted chemotherapy.
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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".