<i>In vitro</i> T‐cell activation of monocyte‐derived macrophages by soluble messengers or cell‐to‐cell contact in bovine tuberculosis
Bibliographic record
Abstract
The macrophage plays a dual role in tuberculosis, promoting not only protection against mycobacteria, but also survival of the pathogen. Macrophages inhibit multiplication of mycobacteria but also act in concert with lymphocytes through presentation of antigens to T cells. Studies in animal and human infections have suggested a correlation of in vitro growth rates of mycobacteria with in vivo virulence, using uracil uptake to assess mycobacterial metabolism. This study found that blood-derived, non-activated bovine macrophages were capable of controlling Mycobacterium bovis bacillus Calmette-Gurin growth for up to 96 hr, but were permissive to intracellular growth of virulent M. bovis. The present investigation compared the in vitro modulation of these macrophage activities by cytokine-rich T-cell supernatants or cell-to-cell contact. On the one hand, treatment of cultured monocytes with mitogen-produced T-cell supernatants promoted morphological changes suggestive of an activation status, enhanced the antigen presentation capabilities of monocytes and up-regulated major histocompatibility complex class II expression. However, this activation was not associated with enhanced anti-M. bovis activity. On the other hand, incubation of infected monocytes with T-cell populations resulted in proportionally increased inhibition of M. bovis uracil uptake. This inhibition was also seen using cells from uninfected animals and indicated the necessity for cell-to-cell contact to promote antimycobacterial capability.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".