Mycobacterial Phenolic Glycolipids with a Simplified Lipid Aglycone Modulate Cytokine Levels through Toll‐Like Receptor 2
Bibliographic record
Abstract
Phenolic glycolipids (PGLs) are virulence factors present in the cell walls of many pathogenic mycobacteria. PGLs have been implicated in various aspects of mycobacterial disease, but there are limited structure-activity data available for these molecules. We report here the preparation of seven synthetic PGL analogues, differing from the native compounds in the replacement of the complex phenolic lipid moiety with a p-methoxyphenyl group. The ability of these compounds to stimulate or inhibit the production of cytokines (TNF-α, IL-1β, IL-6, MCP-1) and nitric oxide (NO) was then evaluated by ELISA-based assays. None of the compounds stimulated the production of these biological signalling molecules. In contrast, they each displayed concentration-dependent inhibitory activity, related to the methylation pattern of the molecule and mediated by Toll-like receptor 2. Additional studies revealed that native PGL-I from Mycobacterium leprae and a synthetic PGL-I analogue containing a simplified lipid domain had enhanced inhibitory activities relative to the corresponding analogues containing the p-methoxyphenyl aglycone; however, the natural lipid phenolthiocerol was only weakly active. These studies reveal that synthetic molecules of this type can be used as probes for PGL function. Moreover, their ease of synthesis relative to the natural glycolipids, as well as their more favourable aqueous solubility, should allow for more thorough structure-activity relationship studies.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".