Lactoferrin and the lactoferrin–sophorolipids-assembly can be internalized by dermal fibroblasts and regulate gene expression
Bibliographic record
Abstract
Lactoferrin (Lf) is an iron-binding multifunctional protein, mainly present in external secretions. Lf is known to penetrate skin and may thus exert its multiple functions in skin. Sophorolipids (SLs) are glycolipid biosurfactants, which have been shown to enhance absorption of commercial bovine Lf (CbLf) in model skin via forming an assembly with CbLf. In this study, uptake and post-internalization localization of bovine Lf (bLf), CbLf, and human Lf (hLf) with or without forming assemblies with SLs in human dermal fibroblasts (HDFn) were determined using 125I-labeled Lfs and confocal microscopy, respectively. Our results show that all 3 Lfs were internalized by HDFn; although SLs did not significantly affect the uptake of Lfs, it changed Lf localization by accumulating Lfs in the perinuclear region. Furthermore, microarrays were used to investigate transcriptional profiling in HDFn in response to CbLf, SLs, or CbLf–SLs-assembly treatments. Transcriptome profiling indicates that CbLf may play roles in the protection of skin from oxidative stress, immunomodulatory activities, and enhancement of wound healing. The assembly had similar effects but dramatically modulated the transcription of some genes. SLs alone modified signaling pathways related to lipid metabolism, as well as synthesis of sex hormones and vitamins. Thus, CbLf may exert beneficial effects on skin, and these effects may be modulated by SLs.
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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".