Measurement of Mucosal Biomarkers in a Phase 1 Trial of Intravaginal 3% StarPharma LTD 7013 Gel (VivaGel) to Assess Expanded Safety
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to examine the effect of the 3% StarPharma LTD 7013 gel (VivaGel) on mucosal immune markers hypothesized to be associated with HIV-1 acquisition. DESIGN: Phase 1, placebo-controlled, randomized, double-blind clinical trial was performed in 54 young women in the United States and Kenya. Participants used carbopol gel with and without (placebo) StarPharma LTD 7013 twice daily over 14 days. Cervical specimens were collected for cytokines, chemokines, T cells, and dendritic cells at days 0, 7, 14, and 21. A negative binomial regression model was used to assess differences between study arms. RESULTS: Several mucosal immune parameters were increased in the VivaGel arm compared with placebo. For cytokines D7, IL-6 (P = 0.05); D 14, interferon gamma (P = 0.03), IL-2 (P = 0.04), IL-5 (P = 0.003), and IL-10 (P = 0.001) were increased. On D7, CD8+/CD69+ T cells tended to be increased (P < 0.08); limiting analysis to visits without blood or bacterial vaginosis, these findings were stronger as follows: at D7, CD8+/CD69+ T cells were increased in the VivaGel arm (P < 0.005), as were CD4+/CD69+ cells (P = 0.001) and CD4+/CCR5+ T cells (P = 0.01). The changes described for D7 and 14 were no longer seen at D21. CONCLUSIONS: Markers associated with inflammation and epithelial damage were reversibly elevated in the VivaGel arm compared with the placebo arm after 7-14 days of twice daily product use.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".