Role of lipid A palmitoylation in bacterial pathogenesis
Bibliographic record
Abstract
The presence of palmitate in a minor fraction of lipid A has been known since the chemical structure of lipid A was first elucidated, but the functional importance in bacterial pathogenesis of regulated lipid A palmitoylation has become clear only recently. A palmitate chain from a phospholipid is incorporated into lipid A by an outer membrane enzyme PagP. The isolation of pagP mutants from pathogenic Gram-negative bacteria has revealed that palmitoylated lipid A can both protect the bacterium from certain host immune defenses and attenuate the ability of lipid A to activate those same defenses through the TLR4 signal transduction pathway. The mechanisms by which bacteria regulate the incorporation of palmitate into lipid A strikingly reflect the corresponding organism's pathogenic lifestyle. Variations on these themes can be illustrated with the known pagP homologs from Gram-negative bacteria, which include pathogens of humans and other mammals in addition to pathogens of insects and plants. The PagP enzyme is now lending itself both as a target for the development of anti-infective agents, and as a tool for the synthesis of lipid A-based vaccine adjuvants and endotoxin antagonists.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".