Evaluation of a Barrier Cream against the Chemical Warfare Agent VX using the Domestic White Pig
Bibliographic record
Abstract
The purpose of this study was to evaluate the efficacy of a novel barrier cream formulation at reducing the percutaneous toxicity of a 2xLD(50) liquid challenge of nerve agent (VX). The study was conducted in vitro and in vivo using the domestic pig. Pretreatment of the (inner ear skin) exposure site with barrier cream eliminated mortality, reduced cholinesterase inhibition and prevented any physiological or biochemical signs of intoxication. In contrast, untreated animals exposed to VX exhibited severe signs of intoxication, near total AChE inhibition and generally died within the (3 hr) exposure period (5/6 animals). Application of the barrier cream caused a significant decrease in the area of skin contaminated by VX. It was tentatively concluded that spreading was predominantly a surface phenomena (possibly mediated by capillary movement of the agent through the microrelief or between hair follicles) with little or no contribution from lateral diffusion within the stratum corneum. There was a disparity between the in vitro and in vivo skin absorption measurements that was ascribed to the absence of systemic clearance in vitro. However, both models indicated a substantial reservoir of VX within the skin, providing a potential strategy for future investigations into "catch-up therapies". In summary, the novel barrier cream formulation was effective against a 2xLD(50) (liquid, percutaneous) dose of VX applied for 3 hr. Further work should be conducted to investigate more pragmatic issues such as optimal reapplication frequency and environmental effects such as temperature and humidity.
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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".