Mucosal effects of tenofovir 1% gel
Bibliographic record
Abstract
BACKGROUND Tenofovir gel is being evaluated for vaginal and rectal pre-exposure prophylaxis against sexual HIV transmission. Because this is a new prevention strategy targeting large numbers of healthy people, we broadly assessed its effects on the mucosa. METHODS AND FINDINGS In MTN-007, a phase 1, randomized, double-blinded rectal microbicide trial, we used systems genomics/proteomics to determine the effect of tenofovir 1% gel, nonoxynol-9 2% gel, placebo gel or no treatment on rectal biopsies taken at baseline, after one application or after seven daily applications (15 subjects/arm). Experiments were repeated using primary vaginal epithelial cells from four healthy women. After seven days of administration, tenofovir 1% gel had broad-ranging biological effects on the rectal mucosa, which were much more pronounced than—but different from—those caused by the detergent nonoxynol-9. Tenofovir profoundly suppressed anti-inflammatory mediators such as interleukin 10; increased T cell densities; caused mitochondrial dysfunction, possibly by blocking PNPT1 expression; and altered regulatory pathways of cell differentiation and survival. Except for leukocyte-derived factors, all these effects were replicated in primary vaginal epithelial cells, which also proliferated significantly faster in tenofovir’s presence. CONCLUSIONS Tenofovir’s suppression of anti-inflammatory activity could diminish its prophylactic efficacy over time. The breadth of mucosal changes, including mitochondrial dysfunction and epithelial proliferation, raises questions about its safety for long-term topical use. These findings suggest that a systems biology evaluation of mucosal effects may be beneficial before advancing to large-scale efficacy trials with topical HIV prevention agents that achieve high, long-lasting local drug concentrations.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".