Rapid Allergen Delivery With Photomechanical Waves for Inducing Allergic Skin Reactions in the Hairless Guinea Pig Animal Model
Bibliographic record
Abstract
Background: Patch testing is the confirmatory procedure for allergic contact dermatitis. The test requires the application of chemicals under occlusion for approximately 48 hours to maximize penetration, although it can also produce irritation. Photomechanical waves (PW) have been shown to render the stratum corneum transiently permeable and facilitate the delivery of macromolecules into the epidermis. This alternative might reduce prolonged occlusion of the skin to minimize irritancy, while retaining the sensitivity of the test. Objective: PW was used to facilitate the delivery of an allergen into the skin in vivo. Methods: The allergic skin reaction using PW delivery was compared with 5-minute and 21-hour occlusion in a sensitized hairless albino guinea pig model. The pigs were sensitized by intradermal injection of (0.01%) dinitrochlorobenzene (DNCB) and topical administration (0.1%, 1 week later) of the hapten. One month later, testing for the allergic response was performed by the administration with PW of 10 μL of 0.1% DNCB. Results: Our results show that there was an allergic reaction for the 24 hour occlusion or PW delivery of the antigen. In contrast, no response was observed for the 5-minute occlusion with the antigen. Conclusion: The rapid delivery of antigens with PW can improve the test for the diagnosis of contact dermatitis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".