006 Development of a Novel Matrix Metalloproteinase‐Inhibiting Wound Dressing
Bibliographic record
Abstract
Rimon Therapeutics develops synthetic therapeutic polymers (Theramers™) that combine bioactivity with a broad range of desirable mechanical and physical properties. The MI Theramer™ is a polymer that modulates the activity of matrix metalloproteinases (MMPs).. Excessive proteolytic cleavage of extracellular matrix and growth factors resulting from elevated levels of MMPs is believed to contribute to the impaired wound healing associated with chronic, non‐healing wounds. MI Theramer™ beads suspended in ThermaGel™(a thermoreversible gel) make up MI‐Gel™ Dressing. The dressing may be applied as a liquid that is poured into a wound, where it will gel on contact. The dressing can be reliquified and removed easily without re‐injuring the wound by cooling it. In vitro inhibition of collagenase type IV (equivalent to MMP‐2) from clostridium histolyticum (Molecular Probes) was measured. A dose‐dependent inhibition of MMP‐2 activity was measured for MI Theramer™ beads alone and suspended in ThermaGel™ indicating that MMP‐2 is able to diffuse into the gel and bind to the beads suspended therein. In vivo efficacy was demonstrated by observing the degradation of glutaraldehyde cross‐linked gelatin tubes using a mouse subcutaneous pouch model. Gelatin zymography on extracts collected from the gelatin tubes co‐implanted with MI Theramer™ beads also showed reduced MMP‐2 and MMP‐9 activity in comparison to controls. The insoluble MI Theramer™ beads were able to modulate MMP activity both in vitro and in vivo. The beads retained their inhibitory activity when they were suspended in a novel thermoreversible gel (ThermaGel™). The combined MI‐Gel™ Dressing may have promise as a novel chronic wound healing product.
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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) | 0.001 | 0.001 |
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".