Endometrial epithelial cell response to semen from HIV-infected men during different stages of infection is distinct and can drive HIV-1-long terminal repeat
Bibliographic record
Abstract
OBJECTIVES: Although more than 60% of HIV transmission occurs via semen, little is known about the immune impact of seminal plasma on HIV susceptibility. Here, we examined the level of selected immunomodulatory factors in seminal plasma from HIV-uninfected and therapy-naive, HIV-infected men in acute and chronic stages; the cytokine response elicited by seminal plasma in genital epithelial cells (GECs); and whether any GEC response to seminal plasma could drive HIV replication in infected T cells. METHODS: A panel of nine cytokines and chemokines was measured in seminal plasma from HIV-uninfected and HIV-infected men and in primary GEC cultures following seminal plasma exposure. HIV-long terminal repeat (LTR) activation was measured in 1G5 T cells exposed to supernatants from seminal plasma-treated GECs. RESULTS: Pro-inflammatory cytokines and chemokines were present at significantly higher levels in seminal plasma from acute men, whereas transforming growth factor (TGF)-β1 was significantly higher in seminal plasma from chronic men. Pro-inflammatory cytokine production by GECs was significantly decreased following incubation with seminal plasma from chronic men. Blocking the TGF-β1 receptor in GECs prior to seminal plasma exposure enhanced pro-inflammatory cytokine production. Exposure to seminal plasma activated nuclear factor (NF)-κB in GECs and blocking it significantly reduced pro-inflammatory cytokine production. GEC responses to seminal plasma, especially from acute men, significantly activated HIV-LTR activation in 1G5 T cells. CONCLUSION: Immunomodulatory factors in seminal plasma vary, depending on presence and stage of HIV infection. Exposure to seminal plasma leads to NF-κB activation and pro-inflammatory cytokine production, whereas TGF-β in seminal plasma may suppress pro-inflammatory cytokine production by GECs. GEC responses to seminal plasma can activate HIV-LTR in infected CD4(+) T cells.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".