Lactoferrin inhibits melanogenesis by down-regulating MITF in melanoma cells and normal melanocytes
Bibliographic record
Abstract
The aim of this study was to evaluate the effect of bovine lactoferrin (bLf) on melanin-producing cells and to elucidate its mechanism of action. We tested the anti-melanogenic effect of bLf on a 3-dimensional cultured pigmentation skin model and confirmed a 20% reduction in pigmentation, suggesting that bLf was transdermally absorbed and it suppressed melanin production. Treatment of human melanoma cells with bLf resulted in a significant, dose-dependent suppression of melanin production. Apo-bLf and holo-bLf suppressed melanogenesis to the same degree as bLf. The key feature behind this anti-melanogenic effect of bLf was the down-regulation of the microphthalmia-associated transcription factor (MITF), leading to the suppression of tyrosinase activity. Treatment with bLf resulted in both decreased expression of MITF mRNA and enhanced degradation of MITF protein. However, the primary effector was enhanced phosphorylation of extracellular signal-regulated kinase (ERK), leading to the phosphorylation and degradation of MITF. Our finding that bLf suppresses melanin production in melanocytes indicates that bLf is a possible candidate for application as a skin-whitening agent.
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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".