A Human Type 5 Adenovirus–Based Tuberculosis Vaccine Induces Robust T Cell Responses in Humans Despite Preexisting Anti-Adenovirus Immunity
Bibliographic record
Abstract
There is an urgent need to develop new tuberculosis (TB) vaccines to safely and effectively boost Bacille Calmette-Guérin (BCG)-triggered T cell immunity in humans. AdHu5Ag85A is a recombinant human type 5 adenovirus (AdHu5)-based TB vaccine with demonstrated efficacy in a number of animal species, yet it remains to be translated to human applications. In this phase 1 study, we evaluated the safety and immunogenicity of AdHu5Ag85A in both BCG-naïve and previously BCG-immunized healthy adults. Intramuscular immunization of AdHu5Ag85A was safe and well tolerated in both trial volunteer groups. Moreover, although AdHu5Ag85A was immunogenic in both trial volunteer groups, it much more potently boosted polyfunctional CD4(+) and CD8(+) T cell immunity in previously BCG-vaccinated volunteers. Furthermore, despite prevalent preexisting anti-AdHu5 humoral immunity in most of the trial volunteers, we found little evidence that such preexisting anti-AdHu5 immunity significantly dampened the potency of AdHu5Ag85A vaccine. This study supports further clinical investigations of the AdHu5Ag85A vaccine for human applications. It also suggests that the widely perceived negative effect of preexisting anti-AdHu5 immunity may not be universally applied to all AdHu5-based vaccines against different types of human pathogens.
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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".