A novel genetically engineered<i>Mycobacterium smegmatis</i>-based vaccine promotes anti-TB immunity
Bibliographic record
Abstract
Evaluation of: Sweeney KA, Dao DN, Goldberg MF et al. A recombinant Mycobacterium smegmatis induces potent bactericidal immunity against Mycobacterium tuberculosis. Nat. Med. 17, 1261–1268 (2011).Pulmonary TB remains a global health threat. Prophylactic immunization with Mycobacterium bovis BCG is the only key strategy to control TB. Ineffectiveness of BCG immunization in TB-endemic areas and BCG-related safety issues in HIV-positive infants have prompted the development of new TB vaccines. As enhanced understanding of the immune evasion mechanism of Mycobacterium tuberculosis will help develop new vaccines, Sweeney et al. studied the role of the esx-3 locus in mycobacterial pathogenesis. They have identified a previously unappreciated function of the esx-3 locus in innate immune evasion. They further discovered that Mycobacterium smegmatis with the esx-3 genes deleted could function as a novel vaccine vector with an enhanced innate immune-activating property. This vector, when engineered to express M. tuberculosis esx-3, was found to be a potent TB vaccine capable of a level of protection superior to that of BCG when administered via the intravenous route.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".