Carrageenan as a Preventive Agent Against Human Papillomavirus Infection: A Narrative Review
Bibliographic record
Abstract
ABSTRACT: Carrageenan, an extract from red algae, was identified over a decade ago as a potent inhibitor of human papillomavirus (HPV) infection in vitro. After this discovery, several studies evaluated carrageenan's anti-HPV activity in cells, experimental animals, and humans. We reviewed the evidence for carrageenan's anti-HPV activity. Studies had to be in vitro, in vivo, or in humans and report on carrageenan's anti-HPV activity. Of the 39 records identified in PubMed and 29 records in Clinicaltrials.gov, 22 records were included after screening: 8 in vitro (including 2 ex vivo), 3 in vivo, 5 in vitro and in vivo, 3 clinical studies, and 3 trial protocols. A total of 12 studies evaluated carrageenan exclusively, whereas 7 considered carrageenan combined with additional antiviral or other agents. One study protocol will evaluate carrageenan exclusively, and 2 others will evaluate carrageenan-combination products. Most clinical studies evaluated carrageenan's ability to prevent HPV acquisition (n = 4), whereas one study explored its ability to promote clearance of existing infection (defined as the absence of HPV DNA detection). Carrageenan's anti-HPV activity was observed consistently across study designs, except in 2 studies: 1 in vitro study where 2 of the HPV types tested were not significantly inhibited by carrageenan and 1 phase IIB trial in gay, bisexual, and other men who have sex with men. This review supports the premise that carrageenan, alone or in combination with other antiviral agents, might be a potential prevention strategy complementary to HPV vaccination for women.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".