HIV Nef Promotes Expression of B-Lymphocyte Stimulator by Blood Dendritic Cells During HIV Infection in Humans
Bibliographic record
Abstract
Dendritic cells (DCs) modulate B-cell survival and differentiation, mainly through production of growth factors such as B lymphocyte stimulator (BLyS; also known as "B-cell factor belonging to the tumor necrosis factor family" [BAFF]). We have recently shown that, in human immunodeficiency virus (HIV)-infected individuals with rapid and those with classic disease progression, B-cell dysregulations were associated with increased BLyS expression in plasma and by blood myeloid DCs (mDCs), in contrast to aviremic HIV-infected individuals with slow disease progression (also known as "elite controllers"). In previous work with transgenic mice expressing HIV genes, B-cell dysregulations were concomitant with altered mDCs and dependent on HIV negative factor (Nef). We now report that HIV Nef is detected early after infection and despite successful therapy in plasma and BLyS-overexpressing blood mDCs of HIV-infected rapid and classic progressors, whereas it is low to undetectable in aviremic slow progressors. In vitro, HIV Nef drives monocyte-derived DCs toward BLyS overexpression through a process involving STAT1. Importantly, this is counteracted in the presence of all-trans retinoic acid. Nef thus contributes to high BLyS proinflammatory profiles in HIV-infected individuals.
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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) | 0.001 | 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".