Naturally Acquired Genotype‐Specific HPV Seroreactivity and Subsequent HPV Detection Among Heterosexual Partners
Bibliographic record
Abstract
The protective effect of naturally acquired humoral immunity against human papillomavirus (HPV) infection remains unclear. To investigate the role of infection-induced antibodies on HPV detection in heterosexual partners, we used data from 392 unvaccinated couples (females aged 18-25 years attended up to six visits over 2 years; males aged 17-37 years attended up to two visits 4 months apart) enrolled (2005-2011) in Montreal. Genital and blood samples were HPV DNA genotyped and tested for L1 antibody titers of 14 HPV genotypes. Analyses considered female-HPV units (n = 4914 based on 351 couples) and male-HPV units (n = 4214 based on 301 couples); each female and male, respectively, contributed up to 14 observations corresponding to 14 genotypes. Modified Cox and logistic regressions estimated hazard and odds ratios (HR/OR) and 95% confidence intervals (CIs) for genotype-specific HPV detections by partner serostatus (high/low: ≥/< baseline median antibody titers, 392 couples). There were 919 and 231 cumulative HPV detections among female-HPV and male-HPV units, respectively. Risk of HPV detections in females (HR = 1.05, CI: 0.90-1.22) and males (OR = 1.31, CI: 0.97-1.77) was similar between those with partners of high versus low serostatus. Constraining to baseline HPV-negative participants with HPV-positive partners yielded unchanged results. This lack of association suggests that naturally developed HPV antibodies do not protect sexual partners from infection.
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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 | 0.003 |
| 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) | 0.002 | 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".