Heparin‐modified dendrimer crosslinked collagen matrices for the delivery of heparin‐binding epidermal growth factor
Bibliographic record
Abstract
A tissue engineered corneal equivalent (TECEs) requires host integration to achieve adequate anchorage and long-term device stability. Corneal integration through epithelialization and stromal integration can be manipulated by growth factors. We investigated the potential of heparin-binding epidermal growth factor (HB-EGF) for mediating interactions with human corneal epithelial cells (HCEC) and compared its efficacy to epidermal growth factor (EGF) in vitro. Furthermore, we utilized heparinized dendrimer crosslinked collagen gels, intended for use as TECE, for delivery of HB-EGF in a sustained manner. HCEC were exposed to HB-EGF at varying concentrations between 0.1 and 1000 ng/mL. Cell proliferation increased with growth factor concentration up to a concentration of 50 ng/mL, suggesting growth factor receptor down-regulation at higher HB-EGF concentrations. Response to HB-EGF was comparable to EGF at low concentrations of 0.1 and 1 ng/mL but at a concentration of 10 ng/mL, HB-EGF induced significantly better proliferation than EGF. Proliferation was found to be dependent on the initial seeding density. Heparinized dendrimer crosslinked collagen (CHG) gels were capable of HB-EGF uptake, which was influenced by heparin concentration within the gel, growth factor concentration and exposure time to the growth factor. HB-EGF release followed first order kinetics, with ∼90% of the growth factor released after 2 weeks. Growth factor stability was verified with in vitro HCEC culture studies. Bioavailability was maintained in the gels through heparin interaction. Overall, HB-EGF induced proliferation of HCEC in vitro and can be released from heparinized collagen gels making it potentially suitable for promoting epithelialization of TECEs.
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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 | 0.004 | 0.002 |
| 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 | 0.000 | 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 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".