Polymer Blend Controls Nanoparticles’ Surface Charge for Improved Mucus Penetration and Epithelial Cell Adhesion
Bibliographic record
Abstract
Mucus, a viscoelastic gel composed of dense mucin glycoprotein networks, acts as a major barrier to therapeutic delivery across all epithelial surfaces by trapping nanoparticles (NPs) and preventing access to the underlying cells. To address this, we developed mucus-evading yet cell-sticky (MECS) NPs with tunable surface charge using Flash NanoPrecipitation. These 100-nanometer-diameter MECS NPs incorporate a small amount (5 wt %) of polycationic dimethylaminoethyl methacrylate (PDMAEMA) into a dense, neutral poly(ethylene glycol) (PEG) corona, which enables mucus penetration while also driving epithelial cell adhesion. In vitro cell culture and physiologically relevant gut-on-a-chip organoids demonstrate MECS NPs penetrate mucus as effectively as purely PEGylated control NPs, while exhibiting a 45-fold increase in binding to epithelial cells. This dual functionality represents a generalizable strategy for overcoming the long-standing trade-off between mucodiffusion and cellular uptake in mucosal drug delivery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".