Granzyme B inhibits keratinocyte migration by disrupting epidermal growth factor receptor (EGFR)-mediated signaling
Bibliographic record
Abstract
Chronic non-healing wounds including diabetic, venous, and decubitus skin ulcers are currently lacking effective therapies. Non-healing diabetic ulcers can lead to amputations as progress into a highly chronic state before detection and existing treatments for these wounds often fail. Granzyme B (GzmB) is a serine protease that was, until recently, believed to function exclusively in cytotoxic lymphocyte-mediated apoptosis. However, during excessive or chronic inflammation, GzmB can accumulate in the extracellular milieu, retain its activity, and cleave a number of important extracellular proteins. Epidermal growth factor receptor (EGFR) is a transmembrane receptor involved in cellular processes such as proliferation and migration. EGFR signaling is integral to the wound healing process. The present study investigated the effects of GzmB on keratinocyte cell migration using HaCaT cell line. Using electric cell-substrate impedance sensing and scratch assays, the present study demonstrates that GzmB inhibits keratinocyte migration by interfering with the EGFR pathway. GzmB limited cell transition into a migratory morphology and was found to reduce ligand-induced EGFR phosphorylation. Inhibition of GzmB reversed the aforementioned effects. In summary, data from the present study suggest key role for GzmB in the pathogenesis of impaired wound healing through the impairment of EGFR signaling and cell migration.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
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".