Stress-induced senescence of dermal papilla cells restored by synthesized ceramide
Bibliographic record
Abstract
Background: Dermal papilla cells (DPCs) are known to regulate the cell senescence via regulation of proliferation and apoptosis. Ceramide is a second messenger of bioactive sphingolipid that mediates a variety of cell functions involved in apoptosis, cell differentiation, proliferation and cellular senescence. However, the effects of ceramide on stress-induced senescence of hair follicles were not well identified yet. Objective: We aimed to confirm the effects of ceramide on regulating growth factors including ERK/Akt and Wnt/u03b2-catenin pathway in senescence-induced DPCs. Method: To investigate the ceramide-related pathway, we evaluated how ceramide affects ERK/Akt activation and Wnt/u03b2-catenin signaling in H2O2-treated DPCs. Results: We found that Akt phosphorylation in H2O2-treated DPCs was decreased by ceramide, whereas ERK phosphorylation was significantly upregulated by ceramide. Wnt5a and u03b2-catenin mRNA levels were increased in ceramide alone group. Interestingly, ceramide upregulated the expression of Wnt10b in H2O2-treated DPCs. Conclusion: These results suggest that ceramide may be closely related to the maintenance of hair follicles in senescence environment such as aging or damaging by certain stimuli. Ceramide may be useful for adjunctive material to delay the hair senescence.
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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) | 0.002 | 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".