Deficiency in interleukin 10 reverses the susceptibility phenotype of CBA/J mice during infection with Mycobacterium tuberculosis. (43.23)
Bibliographic record
Abstract
Abstract Interleukin 10 is a known correlate of susceptibility to tuberculosis (TB) in man and similarly, elevated levels of IL-10 (either natural or induced) in mice can accelerate TB disease progression. The CBA/J mouse strain is a model that naturally produces abundant IL-10 and is also highly susceptible to infection with Mycobacterium tuberculosis (M.tb). We have generated CBA/J mice deficient in IL-10 (IL-10 KO) to determine the mechanisms of influence of IL-10 on TB disease progression in this highly susceptible mouse strain. In contrast to IL-10 KO on resistant mouse strain backgrounds where the lack of IL-10 has little impact on TB outcome, the CBA/J IL-10 KO was fully capable of limiting M.tb growth within the lung and spleen for an extended period of time, with over 2 Log fewer M.tb colony forming units (CFU), compared to CBA/J wild type. This reduction in bacterial growth correlated with a highly significant extension in survival, relative to CBA/J wild type mice. The ability to control M.tb infection was associated with an early detection of IFN-gamma within the lung and the detection of IFN-gamma producing antigen specific T cells throughout infection. Of particular significance was the finding that CBA/J IL-10 mice developed mature granulomas (encircled by collagen) with necrotic centers containing M.tb bacillus of variable acid-fast staining.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".