Nanotopographic cues increase epithelial paracellular permeability through cytoskeletal reorganization (780.6)
Bibliographic record
Abstract
Paracellular permeability between epithelial cells is regulated by tight junctions (TJs) which act as a barrier to drug delivery across the epithelium. Previous studies (Kam et al., Nano Lett. (2013)) have found that nanostructured films (NSFs) imprinted on polypropylene (PP) with pitch spacing of 300 nm, average height of 300 nm and average diameter of 200 nm (P(1.5);DN2) increase paracellular permeability of CaCo2 colonic epithelial cells to macromolecule sized agents, independently from changes to transepithelial resistance. To define a mechanism for the effects of NSFs on CaCo2 cells, we examined changes to F‐actin by immunofluorescence (IF). Contact of CaCo2 cells with DN2 NSFs disrupted cortical actin at the plasma membrane, in contrast to non‐imprinted PP which had little effect. To determine whether matrix metalloproteases (MMPs) may be involved in this response, we examined the effect of DN2 films on expression and function of MMP2 and MMP9. By IF and in‐gel zymography, DN2 induced changes in MMP9 expression relative to MMP2. MMP9 inhibitors are being assessed to determine whether they inhibit changes to paracellular flux and actin organization induced by DN2 as a strategy to modulate NSF‐facilitated drug delivery.
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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) | 0.003 | 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".