Improved Protection against Disseminated Tuberculosis by <i>Mycobacterium bovis</i> Bacillus Calmette-Guerin Secreting Murine GM-CSF Is Associated with Expansion and Activation of APCs
Bibliographic record
Abstract
Modulating the host-immune response by the use of recombinant vaccines is a potential strategy to improve protection against microbial pathogens. In this study, we sought to determine whether secretion of murine GM-CSF by the bacillus Calmette-Guérin (BCG) vaccine influenced protective immunity against Mycobacterium tuberculosis. BCG-derived GM-CSF stimulated the in vitro generation of functional APCs from murine bone marrow precursors, as demonstrated by the infection-induced secretion of IL-12 by differentiated APCs, and the ability of these cells to present Ag to mycobacterium-specific T cells. Mice vaccinated with BCG secreting [corrected] murine GM-CSF (BCG:GM-CSF) showed increased numbers of CD11c+MHCII+ and CD11c-CD11b+F480+ cells compared with those vaccinated with control BCG, and this effect was most apparent in the draining lymph nodes at 7 and 14 days postvaccination. Vaccination with BCG:GM-CSF also resulted in enhanced expression of costimulatory molecules on migratory dendritic cells in the draining lymph nodes. The increased APC number was associated with an increase in the frequency of anti-mycobacterial IFN-gamma-secreting T cells generated after BCG:GM-CSF vaccination compared with vaccination with control BCG, and this effect was sustained up to 17 wk in the spleens of immunized mice. Vaccination with BCG:GM-CSF resulted in an approximately 10-fold increase in protection against disseminated M. tuberculosis infection compared with control BCG. This study demonstrates the potential of BCG secreting [corrected] immunostimulatory molecules as vaccines to protect against tuberculosis and suggests BCG:GM-CSF merits further appraisal as a candidate to control M. tuberculosis infection in humans.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".