MiR-21 regulates the apoptosis of keloid fibroblasts by caspase-8 and the mitochondria-mediated apoptotic signaling pathway via targeting FasL
Bibliographic record
Abstract
MicroRNA-21 (miR-21) has been found to be upregulated in keloid tissue and to affect the proliferation and apoptosis of keloid fibroblasts; however, the possible mechanisms remain unclear. In this study, we aimed to evaluate the role of miR-21 in FasL-induced caspase-8 activation and the mitochondria-mediated apoptotic signaling pathway in keloid fibroblasts. Our study found that the protein level of FasL was decreased by miR-21 over-expression, while being enhanced by miR-21 inhibition in keloid fibroblasts. Subsequently, the mitochondria-mediated apoptosis of keloid fibroblasts was restrained by miR-21 over-expression, as evidenced by enhanced mitochondrial membrane potential and decreased production of mitochondrial ROS. Moreover, over-expression of miR-21 inhibited the activation of the caspase-8 and the mitochondria-mediated apoptotic signaling pathway. As expected, inhibition of miR-21 had the opposite effects. Finally, silencing of FasL suppressed miR-21 inhibition-induced apoptosis by inactivation of caspase-8 and the mitochondria-mediated apoptotic signaling pathway, which was comparable to Z-IETD-FMK, a caspase-8 inhibitor. Taken together, these results suggest that miR-21 regulates the apoptosis of keloid fibroblasts via targeting FasL, and caspase-8 and the mitochondria-mediated apoptotic signaling pathway is involved in this process. Our findings provide evidence that miR-21 may be considered to be a therapeutic target for keloids.
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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 | 0.001 |
| 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".