Syndemic Synergy of HPV, HIV, and HSV-2 for Oncogenic HPV Replication in Female Sex Workers
Bibliographic record
Abstract
Background: Female sex workers (FSWs) in sub-Saharan Africa bear a disproportionate burden of sexually transmitted infections, including HIV, high-risk HPV (HR-HPV), and herpes simplex virus type 2 (HSV-2). This study evaluated possible association between HR-HPV, HIV, and HSV-2 among FSWs in the Democratic Republic of the Congo. Methods: A cross-sectional study was conducted among 432 FSWs (mean age, 28.1 years) recruited via respondent-driven sampling. Genital self-sampling using the V-Veil UP2™ device was performed, followed by HPV genotyping and quantification by multiplex PCR, and HSV-2 DNA detection by PCR. Results: Among 415 participants, HR-HPV prevalence was 36.9%, with HPV-52 (14.9%), HPV-58 (10.1%), and HPV-16 (6.5%) as leading genotypes. Overall, 89% of HR-HPV-positive women harbored genotypes covered by Gardasil-9®. Co-infection with HIV and HSV-2 significantly increased HPV prevalence, genotype diversity, and viral load. Notably, HSV-2 positivity was the sole independent predictor of elevated replication of HR-HPV (p < 0.001), vaccine HR-HPV (p < 0.001), and non-vaccine HR-HPV (p < 0.021). Conclusions: FSWs exhibit a high burden of HR-HPV, shaped by co-infections with HIV and HSV-2. HSV-2 independently drives HR-HPV replication, highlighting its role in HPV persistence and cervical cancer risk. Integrated HSV-2 detection and Gardasil-9® vaccination should be prioritized in cervical cancer elimination strategies targeting high-risk populations in sub-Saharan Africa.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".