Plasma and Mucosal Fluid from HIV Type 1-Infected Patients But Not from HIV Type 1-Exposed Uninfected Subjects Prevent HIV Type 1-Exposed DC from Infecting Other Target Cells
Bibliographic record
Abstract
Highly exposed persistently seronegative (HEPS) individuals have previously been shown to mount HIV-1-specific humoral and cellular immune responses in the mucosa, despite their uninfected status. It is thus possible that HEPS individuals are protected from HIV-1 infection at the mucosal level. Recent work supports the hypothesis that dendritic cells are involved in the establishment of a mucosal HIV-1 infection as well as the dissemination to other target cells. However, no previous study has investigated if samples collected from HEPS individuals have the capacity to prevent HIV-1 infection in the presence of dendritic cells in vitro. We therefore established an assay that measures HIV-1 neutralization in cocultures of HIV-1-exposed dendritic cells (DC) and PBMC. Plasma and cervicovaginal lavage (CVL) samples from HIV-1-infected patients and HEPS individuals, enrolled in a well-characterized sex worker cohort in Kenya, were evaluated. Most plasma and CVL samples of HIV-1-infected patients neutralized HIV-1 in the DC/PBMC cocultures. Neither plasma nor CVL samples of most HEPS individuals had this capacity. However, they readily neutralized HIV-1 infection of PBMC alone. This may suggest that protection against HIV-1 infection in HEPS individuals occurs prior to interaction between HIV-1-exposed DC and other target 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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".