<i>Listeria monocytogenes</i>listeriolysin O and phosphatidylinositol-specific phospholipase C affect adherence to epithelial cells
Bibliographic record
Abstract
Listeria monocytogenes, a foodborn intracellular animal and human pathogen, produces several exotoxins contributing to virulence. Among these are listeriolysin O (LLO), a pore-forming cholesterol-dependent hemolysin, and a phosphatidylinositol-specific phospholipase C (PI-PLC). LLO is known to play an important role in the escape of bacteria from the primary phagocytic vacuole of macrophages, and PI-PLC supports this process. Evidence is accumulating that LLO and PI-PLC are multifunctional virulence factors with many important roles in the host-parasite interaction other than phagosomal membrane disruption. LLO and PI-PLC may induce a number of host cell responses by modulating signal transduction of infected cells via intracellular Ca2+ levels and the metabolism of phospholipids. This would result in the activation of host phospholipase C and protein kinase C. In the present study, using Bacillus sub tilis strains expressing LLO, PI-PLC, and simultaneously LLO and PI-PLC, we show that LLO and PI-PLC enhance bacterial binding to epithelial cells Int407, with LLO being necessary and PI-PLC playing an accessory role. The results of this work suggest that these two listerial proteins act on epithelial cells prior to internalization.
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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".