Treatment with a novel topical nanoemulsion (NB-001) speeds time to healing of recurrent cold sores.
Bibliographic record
Abstract
BACKGROUND: Current topical therapies for cold sores are only marginally beneficial due to poor skin penetration. We assessed the safety and efficacy of a novel topical antiviral nanoemulsion (NB-001) with high tissue bioavailability. OBJECTIVES: The primary endpoint was the time to lesion healing. METHODS: 482 subjects with recurrent cold sores were randomized to self-initiate treatment with either vehicle or NB-001 (0.1%, 0.3% or 0.5%) at the first signs or symptoms of a cold sore episode. Lotion was applied 5 times per day, approximately 3 to 4 hours apart, for 4 days. Time to lesion healing was correlated with NB-001 bioavailability determined in human cadaver skin. RESULTS: Subjects treated with 0.3% NB-001 showed a 1.3-day improvement in the mean time to healing compared to vehicle (P=0.006). This was consistent with human cadaver skin data indicating that the 0.3% nanoemulsion had the highest bioavailability, compared to 0.1% and 0.5% emulsions. No significant safety or dermal irritation concerns or systemic absorption were noted with any of the doses. CONCLUSIONS: Topical NB-001 (0.3%) was well tolerated and highly efficacious in shortening the time to healing of cold sores. The improvement in time to healing was similar to that reported for oral nucleoside analogues, but without systemic exposure. Topical agents for recurrent herpes labialis (cold sores) reduce healing time by one half day, compared to oral therapies that speed healing by a day or more. A topical antiviral nanoemulsion was well tolerated and improved cold sore healing time by over a day compared to vehicle control. Nanoemulsion (NB-001) could represent a more efficacious topical treatment for recurrent cold sores.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".