Transdifferentiated circulating monocytes release exosomes containing 14-3-3 proteins with matrix metalloproteinase-1 stimulating effect for dermal fibroblasts
Bibliographic record
Abstract
Fibroblasts are major cellular components of healing wounds. In this regard, it remains to be fully understood how different paracrine signals may influence the final collagen/matrix metalloproteinase (MMP) balance in resident fibroblasts. Our previous reports have demonstrated that circulating stem cells and monocytes can be transdifferentiated into "keratinocyte-like cells" under certain culture conditions. These transformed cells are able to stimulate MMP-1 expression in dermal fibroblasts. However, the underlying mechanism of this cell-to-cell interaction is unknown. This study describes exosomes as a major delivery system that keratinocyte-like cells use to release proteins into the conditioned media. The exosomes exhibited distinctive size, density, and saucer-like morphology. Using PKH-26 and GFP-adenovirus infection, we demonstrated that exosomes are able to fuse and then release their protein content into dermal fibroblasts. Mass spectrometry and Western blotting identified five 14-3-3 isoforms (beta, gamma, epsilon, tau, and zeta) as MMP-1 stimulating factors for dermal fibroblasts. Immunoprecipation assays confirmed that these 14-3-3 isoforms account for almost the entire MMP-1 up-regulation induced by exosomes. In summary, our results demonstrated that circulating monocytes stimulated to be transformed into "keratinocyte-like cells" could promote an anti-fibrogenic commitment of dermal fibroblasts via exosomal 14-3-3 proteins.
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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 | 0.000 |
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 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".