Synthesis of Enzyme-Degradable, Peptide-Cross-Linked Dextran Hydrogels
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Hydrogels derived from synthetic polymers have been previously engineered to degrade under the activity of matrix metalloproteinases (MMPs). It is believed that these systems can act as extracellular-matrix (ECM) equivalents mimicking the degradation and remodeling of the ECM through the activity of cell-secreted enzymes. In this study, MMP-sensitive hydrogels derived from dextran were developed. In order to avoid the incorporation of hydrolyzable esters often introduced in dextran modification strategies, the polysaccharide was modified with p-maleimidophenyl isocyanate (PMPI) thereby introducing maleimide functionalities in the backbone and resulting in dextran derivatized with p-maleimidophenyl isocyanate (Dex-PMPI). This strategy was favored to separate out the effects of random hydrolysis and enzymatic digestion in the degradation of the dextran hydrogels. A peptide cross-linker, derived from collagen and susceptible to gelatinase A (MMP-2) digestion, was synthesized with bifunctional cysteine termini and used to cross-link the Dex-PMPI. These hydrogels were found to be hydrolytically stable for more than 200 days yet degraded either within 30 h when exposed to bacterial collagenase or within 16 days when exposed to human MMP-2, demonstrating enzymatic-mediated digestion of the peptide cross-links. Further modification of the cross-linked hydrogels with laminin-derived peptides enhanced cell adhesion and survival, demonstrating the potential of these materials for use in tissue engineering applications.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it