Efficient Peroral Delivery of Insulin via Vitamin B12 Modified Trimethyl Chitosan Nanoparticles
Bibliographic record
Abstract
PURPOSE: We investigated the effect of vitamin B12 (VB12) modification on the insulin absorption from trimethyl chitosan(TMC) nanoparticles (NPs) under the influence of mucus. METHODS: TMC and TMC-VB12 were synthesized and insulin loaded TMC/TMC-VB12 nanoparticles were prepared and characterized. Modified and unmodified nanoparticles were studied with Caco-2/HT29-MTX cell model and ligated rat ileum loop. RESULTS: Compared with unmodified NPs, VB12 modified NPs showed significantly higher drug internalization in Caco-2/HT29-MTX cell model. The internalization mechanism via VB12 mediation included caveolae and clathrin-mediated endocytosis pathway. Meanwhile, an increased transportation of drugs was observed for VB12 modified NPs, possibly due to the ligand-receptor interaction via an intrinsic factor-dependent fashion. Although the uptake and transport of VB12 modified NPs could be partially influenced by mucus, they still showed higher drug permeation through Caco-2/HT29-MTX co-cultured cells than unmodified NPs in the presence or absence of mucus. Moreover, in situ study in ligated rat ileum loop demonstrated that VB12 modified nanoparticles could reduce the residual insulin in intestinal lumen (0.59 times) and increase their absorption in epithelial tissue (4.8 times) compared with the unmodified ones. CONCLUSION: VB12 modified trimethyl chitosan nanoparticle is a promising carrier for peroral delivery of insulin.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".