An in vivo biosafety-level-2-compatible model of Mycobacterium tuberculosis infection for drug susceptibility testing
Bibliographic record
Abstract
Available mouse models for tuberculosis drug susceptibility testing requires using virulent biosafety-level-3 (BSL-3) Mycobacterium tuberculosis (Mtb) strains, or attenuated BSL-2 strains that lack virulence genes. Here, we present a BSL-2-compatible mouse model for tuberculosis drug susceptibility testing using the auxotrophic Mtb mc26206 strain, which retains all virulence genes. Using rifampicin and a new autophagy-boosting compound, SMIP-30, we provide a step-by-step guide for the infection, drug administration, and evaluation of Mtb burden and cytokine profiles. This protocol is easily adaptable for testing of other antibiotics and host-directed compounds. For complete details on the use and execution of this protocol, please refer to Berton et al. (2022).
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.006 |
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".