Expression of drug transporters in the human skin: comparison in different species and models and its implication for drug development
Bibliographic record
Abstract
It is clear that many drug transporters (both ABCs and SLCs) are present in the human skin. Different in vitro skin models can be used to investigate the role of drug transporters in the skin despite quantitative differences in expression profile across species. P-gp was shown to have an important influence on transdermal drug absorption in the skin and to function in “absorptive” transport, carrying substrate drugs from the skin surface to the dermis. This observation might be used to modulate drug distribution inside the skin. If drugs can be retained in the epidermis compartment by inhibition of the transporters, such property of the drug would be beneficial for treatment of dermatological diseases. Therefore, it might be feasible to control transdermal delivery of drugs to specific locations in the skin, by modulating the function of the transporters in the skin. We are at the dawn of an exciting period where drug transporters might be novel targets for improvement of drug delivery to the skin and for pharmacological intervention.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".