Epoxytiglianes induce keratinocyte wound healing responses via classical protein kinase C activation to promote skin re-epithelialization
Bibliographic record
Abstract
Epoxytiglianes are a novel class of diterpene esters. The prototype epoxytigliane, EBC-46 (tigilanol tiglate), is a potent anti-cancer agent in clinical development for local treatment of a range of human and animal tumors. EBC-46 also consistently promotes wound re-epithelialization at the treatment sites, mediated via activation of classical protein kinase C (PKC) isoforms. We have previously shown that epoxytiglianes stimulate proliferative and wound repopulation responses in immortalized human skin keratinocytes (HaCaTs) in vitro, abrogated by pan-PKC inhibitor, bisindolylmaleimide-1. In this study, we further investigate the specific PKC isoforms responsible for inducing such wound healing responses, following HaCaT treatment with 1.51 nM-15.1 µM EBC-46 or analogue, EBC-211. Classical PKC inhibition by GӦ6976 (1 μM), significantly attenuated epoxytigliane induced, HaCaT proliferation and wound repopulation at all epoxytigliane concentrations. PKC-βI/-βII isoform inhibition by enzastaurin (1 μM), significantly inhibited HaCaT proliferation and wound repopulation responses induced by both epoxytiglianes, especially at 1.51-151 nM. PKC-α inhibitor, Ro 31-8220 mesylate (10 nM), exerted lesser inhibitory effects on HaCaT responses. Epoxytigliane changes in key keratin (KRT17) and cell cycle (cyclin B1, CDKN1A) protein levels were partly attenuated by GӦ6976 and enzastaurin. GӦ6976 also inhibited increases in matrix metalloproteinase (MMP-1, MMP-7, MMP-10) activities. Phospho-PKC (p-PKC) studies confirmed that epoxytiglianes transiently activated classical PKC isoforms (p-PKCα, p-PKC-βI/-βII, p-PKCγ) in a dose- and time-dependent manner. By identifying how epoxytiglianes stimulate classical PKCs to facilitate keratinocyte healing responses and re-epithelialization, these findings support further epoxytigliane development as topical therapeutics for clinical situations involving impaired re-epithelialization, such as non-healing wounds in skin.
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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 | 0.000 |
| 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) | 0.000 | 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".