Pharmacokinetic Assessment of Dapivirine Vaginal Microbicide Gel in Healthy, HIV-Negative Women
Bibliographic record
Abstract
UNLABELLED: To assess the pharmacokinetics of dapivirine in plasma and dapivirine concentrations in cervicovaginal fluids (CVF) and cervicovaginal tissues following vaginal administration of dapivirine microbicide gel in healthy, HIV-negative women for 10 days. A randomized, double-blind, phase I study was conducted at a single research center in South Africa. A total of 18 women used dapivirine gel (0.001%, 0.005%, or 0.02%) once daily on Days 1 and 10 and twice daily on Days 2-9. Pharmacokinetics of dapivirine were assessed in plasma on Days 1 and 10. Dapivirine concentrations were measured in CVF on Days 1 and 10 and in cervicovaginal tissues on Day 10. Safety was evaluated through laboratory tests (hematology, clinical chemistry, and urinalysis), physical examinations, and assessment of adverse events. Plasma concentrations of dapivirine increased over time with gel dose and were greater on Day 10 (C(max) 31 to 471 pg/ml) than Day 1 (C(max) 23 to 80 pg/ml). T(max) was 10-12 h on Day 1, and 9 h on Day 10. Concentrations in CVF generally increased with dose but were highly variable among participants. Mean peak values ranged from 4.6-8.3 × 10(6) pg/ml on Day 1 and from 2.3-20.7 × 10(6) pg/ml on Day 10 across dose groups. Dapivirine was detectable in all tissue biopsies on Day 10 at concentrations of 1.0-356 × 10(3) pg/mg. CONCLUSIONS: Dapivirine was widely distributed throughout the lower genital tract with low systemic absorption when administered in a vaginal gel formulation for 10 consecutive days. The gel was safe and well tolerated.
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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 | 0.001 |
| 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".