Mechanism of invasion of lung epithelial cells by filamentous<i>L</i><i>egionella pneumophila</i>
Bibliographic record
Abstract
Legionella, the aetiological agent responsible for Legionellosis, is an opportunistic pathogen that infects humans upon the inhalation of contaminated aerosolized water droplets. Legionella is pleomorphic and its different morphotypes exhibit varying degrees of virulence. While the filamentous forms of Legionella pneumophila (Lp) have been reported in patient samples since the first description of legionellosis, their role in disease has not been studied. Our results show that both E-cadherin and β1 integrin receptors mediate filamentous Lp (FLp) attachment to lung epithelial cells (LECs). The activation of these receptors induces the formation of actin enriched membrane surface structures that we designated 'hooks' and 'membrane wraps'. These structures entrap the filaments on the cell surface leading to their gradual internalization through a zipper mechanism of phagocytosis dependent on actomyosin activity. The supply of E-cadherin receptors from the recycling pathway and β1 integrins released from focal adhesion turnover are required to sustain this process. Intracellular FLp inhabits a vacuolar compartment where filaments differentiate into short rods and replicate to produce infective progeny. Here we are reporting a first description of the invasion mechanism used by FLp to invade LECs. Therefore, filamentous morphotype of Lp can induce its own uptake by LECs and has the potential ability to cause disease.
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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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".