Combined Effects of Defatted Hydrolyzed Collagen from Salmon Skin and Vitamin C on Proliferation and Migration of Human Fibroblast Cell
Bibliographic record
Abstract
Effect of defatted hydrolyzed collagen (HC) from salmon skin (0, 50, 100, 200, 400 and 800 µg/mL) and vitamin C (Vit C) (0.01, 0.1, 1, 10 and 100 µg/mL) on proliferation of human dermal fibroblast (HDF) was investigated. Highest cell proliferation took place when cells were treated with HC at 50 µg/mL or Vit C at 0.01 µg/mL, compared to control or those treated with other levels ( P <0.05). When HC combined with Vit C (HC+Vit C) at the selected level was used, higher cell proliferation was attained than the use ofHC or Vit C alone, indicating that the HC+Vit C could promote proliferation of HDF cells effectively. Moreover, HC+Vit C exhibited higher migration and lamellipodia formation of HDF cells than HC or Vit C alone ( P <0.05), leading to the lowered wound gap. Also, HC, Vit C and HC+Vit C could stimulate proliferation and migration of HDF cells via FAK/Akt and ERK/p38 MAPK signaling pathways. However, cells treated with HC+Vit C had higher FAK and Akt expressions than other samples ( P <0.05). Thus, the defatted HC combined with Vit C can serve as functional ingredient for skin nourishment and wound healing.
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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".