Latent <scp>TGF</scp>‐β1 is Compartmentalized Between Blood and Seminal Plasma of <scp>HIV</scp>‐Positive Men and Its Activation in Semen is Negatively Correlated with Viral Load and Immune Activation
Bibliographic record
Abstract
PROBLEM: Semen is the primary medium for sexual transmission of HIV-1 and contains high concentrations of TGF-β1, but its role in regulating HIV-mediated immune activation is unclear. METHOD OF STUDY: TGF-β1 and sCD14 were compared in blood plasma (BP) and seminal plasma (SP) from HIV-uninfected and infected, antiretroviral therapy (ART)-naive and ART-treated men and in THP-1 cells following exposure to HIV-1. The relationship between TGF-β1 and sCD14 was determined by Spearman correlation. RESULTS: Active and latent forms of TGF-β1 were compartmentalized between BP and SP. Highest active TGF-β1 levels were present in SP of ART-naïve chronic-infected men and decreased following ART treatment. Latent TGF-β1 was upregulated in BP following HIV infection, and highest levels were observed in BP of acute-infected men. Similar expression trends were observed between latent TGF-β1 and sCD14 in BP. A significant negative correlation was observed between active TGF-β1, sCD14, and semen viral load in ART-naive men. CONCLUSION: TGF-β1 is compartmentalized between blood and semen, possibly co-expressed with sCD14 by activated monocytes/macrophages in BP as a result of HIV infection. Conversion of latent TGF-β1 into its active form could contribute to regulation of viral load and immune activation in the male genital tract, but depends on the stage of infection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".