Facile design of autogenous stimuli-responsive chitosan/hyaluronic acid nanoparticles for efficient small molecules to protein delivery
Bibliographic record
Abstract
Easily assembled and biocompatible chitosan/hyaluronic acid nanoparticles with multiple stimuli-responsive ability are ideally suited for efficient delivery of therapeutic agents under specific endogenous triggers. We report a simple and versatile strategy to formulate oxidative stress and pH-responsive chitosan/hyaluronic acid nanocarriers with high encapsulation efficiencies of small drug molecules and nerve growth factor protein. This is achieved through invoking the dual role of a thioketal-based weak organic acid to disperse and functionalize low molecular weight chitosan in one-pot. Thioketal embedded chitosan/hyaluronic acid nanostructures respond to oxidative stress and show controlled release of quercetin, curcumin and NGF. Lowering the pH in the buffer solution led to higher quercetin release from NPs than at physiological pH, and mimicked the nanoparticle behavior in the environment of early to late endosomes. Curcumin and quercetin loaded NPs killed glioblastoma cells with high efficiency, and NGF-loaded nanoparticles retained biological activity of the protein and increased peripheral nerve outgrowth in explanted mouse dorsal root ganglia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".