Exploratory clinical studies of a synthetic HIV-1 Tat epitope vaccine in asymptomatic treatment-naïve and antiretroviral-controlled HIV-1 infected subjects plus healthy uninfected subjects
Bibliographic record
Abstract
TUTI-16 is a synthetic universal HIV-1 Tat epitope vaccine, designed to induce anti-Tat antibodies that block the function of circulating Tat, an HIV encoded protein secreted by HIV-1 infected cells. Circulating Tat activates CD4 T cells, permitting HIV replication and sustained viremia. Safety, immunogenicity and antiretroviral potential of TUTI-16 were explored in a randomized double-blind dose-escalating study in asymptomatic treatment-naïve HIV-1 infected subjects. TUTI-16 was safe, with mild local and systemic injection-related adverse reactions, but the antibody response was barely detectable. Surprisingly, a highly statistically significant reduction of HIV-1 viral load was found in the lowest 30 μg vaccine dose group (p < 0.01) but not at the higher doses. We posited that an anti-Tat antibody response below the limit of detection inhibited HIV viral load at this dose, an effect nullified at higher vaccine doses by activating cytokines induced by adjuvant components in TUTI-16. To clarify this immunogenicity/activation conundrum open label immunogenicity studies were performed in healthy HIV uninfected and aviremic ART-controlled HIV-infected subjects. These established that (1) healthy HIV negative subjects had robust antibody responses, maximal with 1 mg TUTI-16, (2) ART-controlled aviremic HIV infected subjects had similarly robust antibody responses, and (3) adjuvant-induced increases of HIV viral load did not occur in the presence of ART. These studies provided us a basis for the design of a protocol to explore the therapeutic potential of TUTI-16 vaccination to provide drug free control of HIV-1 viremia.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".