A Human Type 5 Adenovirus–Based Tuberculosis Vaccine Induces Robust T Cell Responses in Humans Despite Preexisting Anti-Adenovirus Immunity
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it