Penile bacteria associated with HIV seroconversion, inflammation, and immune cells
Bibliographic record
Abstract
The foreskin is a site of heterosexual acquisition of HIV-1 among uncircumcised men. However, some men remain HIV-negative despite repeated, unprotected vaginal intercourse with HIV-positive partners, while others become infected after few exposures. The foreskin microbiome includes a diverse group of anaerobic bacteria that have been linked to HIV acquisition. However, these anaerobes tend to coassociate, making it difficult to determine which species might increase HIV risk and which may be innocent bystanders. Here, we show that 6 specific anaerobic bacterial species, Peptostreptococcus anaerobius, Prevotella bivia, Prevotella disiens, Dialister propionicifaciens, Dialister micraerophilus, and a genetic near neighbor of Dialister succinatiphilus, significantly increased cytokine production, recruited HIV-susceptible CD4+ T cells to the inner foreskin, and were associated with HIV acquisition. This strongly suggests that the penile microbiome increases host susceptibility to HIV and that these species are potential targets for microbiome-based prevention strategies.
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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 | 0.001 | 0.001 |
| 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".