Development of TNFSF as molecular adjuvants for ALVAC HIV-1 vaccines
Bibliographic record
Abstract
A phase III clinical trial finished in Thailand recently showed that an ALVAC HIV-1 vaccine prime-gp120 protein boost vaccination regimen could modestly protect persons from HIV-1 infection, demonstrating that development of an effective and safe HIV-1 preventive vaccine is possible. ALVAC HIV-1 vaccines are candidate HIV-1 vaccines based on canarypox vectors. Previous clinical trials proved that ALVAC HIV-1 vaccines were safe but weak in immunogenicity when used in human subjects. We have been exploring to use tumor necrosis factor superfamily (TNFSF) members as adjuvants to enhance the immunogenicity of ALVAC HIV-1 vaccines. In this commentary, we will summarize our findings in using two TNFSF molecules, CD40L and OX40L, as adjuvants for an ALVAC HIV-1 vaccine in mouse model. We will also briefly discuss the challenges and prospects of using TNFSF molecules as adjuvants for HIV-1 vaccines in humans.
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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 | 0.001 | 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 | 0.001 |
| 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".