An in vitro functional assay to measure the biological activity of TB vaccine candidate H4-IC31
Bibliographic record
Abstract
Potency assays for vaccine products are an important regulatory requirement, and are used to assess product quality and consistency prior to lot release for clinical testing. Ideally they measure an established correlate of efficacy or protection. In cases where there is no known correlate of protection, however, a functional assay that measures a biological response to a vaccine can be applied as a potency assay. Here we describe an in vitro assay which quantitatively measures human T cell activation as a biological response to the TB vaccine candidate H4-IC31. The Cytokine Secretion Assay (CSA) is based on the ability of peripheral blood mononuclear cells (PBMCs) from a Bacillus Calmette-Guérin (BCG)-vaccinated human donor to process and respond to H4-IC31. The ability of H4-IC31 to stimulate a cellular immune response is measured through the quantification of secreted IFNγ and is reported as relative stimulatory activity (RSA) compared to an in-house reference standard. The CSA is specific to the H4-IC31 vaccine, determines the RSA of H4-IC31 in the range of 50% to 150% of the reference standard, and is stability indicating as it detects differences in RSA between intact and heat treated H4-IC31. Although the CSA does not provide a link to clinical efficacy, it fulfills the critical requirements for a biological potency test to assess TB vaccine candidates and can be used along with biochemical and immunochemical assays to define a product profile during clinical development, while eliminating the use of animals for product testing.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".