In vitro assessment of biological activity and stability of the ALVAC-HIV vaccine
Bibliographic record
Abstract
The first evidence in humans that a safe and effective preventive vaccine for HIV is possible came from the phase III HIV clinical trial RV144 in Thailand. This trial was based on a prime/boost combination of a recombinant canarypox vaccine and two glycoprotein 120 proteins (ALVAC-HIV and AIDSVAX B/E). A pivotal phase IIb/III trial has recently commenced in the Republic of South Africa, for which the infectious titer assay was applied as the quantitative release test for the ALVAC-HIV vaccine. The infectious titer assay measures the ability of the vaccine vector to infect target permissive cells, but does not indicate if the vaccine transgenes are expressed. We have developed a high-throughput biological activity assay that provides results in agreement with the infectious titer assay. This assay uses flow cytometry to quantify expression of ALVAC-HIV encoded proteins gp120 and p24 in human cells. This transgene expression is detected by two cross-clade-reactive, biologically functional human anti-gp120 monoclonal antibodies isolated from clinical trial participants and a commercial mouse anti-p24 monoclonal antibody. The relative biological activity of the vaccine test sample is calculated by comparison of the test sample dose-response curve against that of a reference standard. We show that the novel biological activity assay is specific, accurate, precise, stability-indicating, and robust. The assay is being used for characterization of ALVAC-HIV (vCP2438) product, the efficacy of which is being evaluated in the pivotal phase IIb/III clinical trial HVTN702. The biological activity assay has the potential to indicate vaccine consistency and quality as a complement to the infectious titer assay.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".