Inhibition of Cytokine Release by <i>Mycobacterium tuberculosis</i> Phenolic Glycolipid Analogues
Bibliographic record
Abstract
Infection by Mycobacterium tuberculosis causes tuberculosis, a disease characterized by alteration of host innate and adaptive immunity. These processes are mediated by a series of bacterial biomolecules, among which phenolic glycolipids (PGLs) and the related p-hydroxybenzoic acid derivatives have been suggested to play important roles. To probe the importance of structural features of these glycans on cytokine modulation, we synthesized three M. tuberculosis PGL analogues (1-3), which differ from the native glycoconjugates by possessing a simplified lipid algycone. The ability of 1-3 to modulate the release of proinflammatory cytokines (TNF-α, IL-1β, IL-6, MCP-1) and nitric oxide (NO) was evaluated. None of the compounds stimulated the secretion of these signalling molecules. However, all showed a Toll-like Receptor 2-mediated, concentration-dependent inhibition profile that was related to the methylation pattern on the glycan.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".