MétaCan
Menu
Back to cohort
Record W4413283939 · doi:10.1128/mbio.01183-25

Role of listeriolysin O and phospholipases C in <i>L. monocytogenes</i> intercellular protrusion dynamics, resolution, and autophagy avoidance

2025· article· en· W4413283939 on OpenAlexaff
Madalyn Fields, Christopher C. Phelps, Xiaoli Zhang, Amal O. Amer, Stéphanie Seveau

Bibliographic record

VenuemBio · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicListeria monocytogenes in Food Safety
Canadian institutionsInstitute of Infection and Immunity
FundersNational Institute of Allergy and Infectious Diseases
KeywordsListeriolysin OVacuoleCell biologyIntracellularCytosolCell membraneOrganellePhagosomeListeria monocytogenesBiologyCellMembraneCytoplasmBiochemistryBacteriaListeriaGenetics

Abstract

fetched live from OpenAlex

ABSTRACT Cell-to-cell spread is a major mechanism used by the bacterial pathogen Listeria monocytogenes to disseminate within its host. In this mechanism, bacteria are directly transferred from the cytosol of an infected donor cell to a recipient cell via formation of an intercellular protrusion. The intercellular protrusion resolves into a vacuole that is disrupted by L. monocytogenes to reach the cytosol of the recipient cell, where it divides and starts new cell-to-cell spread cycles. Here, we studied the spatiotemporal dynamics of the donor and recipient host cell plasma membranes during intercellular protrusion formation, resolution, and disruption, as well as the role of the bacterial pore-forming toxin listeriolysin O (LLO) and two phospholipases C in these dynamics. Leveraging three-dimensional live-cell microscopy, we co-cultured and imaged infected epithelial cells expressing different fluorescent plasma membrane markers to distinguish donor from recipient cell membranes. We characterized, for the first time, the dynamics of the canonical cell-to-cell spread pathway in which protrusions resolve into double-membrane vacuoles, followed by the successive disruption of donor and recipient membranes. We found that LLO controls protrusion resolution into a double-membrane vacuole and disruption of donor and recipient membranes, whereas the phospholipases C (PLCs) control donor membrane disruption and prevent bacterial entrapment into autophagosomes. Furthermore, we identified a second, more efficient “non-canonical” cell-to-cell spread pathway strictly requiring LLO/PLCs cooperation, which resolves into a single-membrane vacuole that is rapidly disrupted. Altogether, this study provides the first detailed analysis of membrane dynamics within intercellular protrusions and vacuoles, establishing an advanced model for L. monocytogenes cell-to-cell spread. IMPORTANCE Intracellular bacterial pathogens, including L. monocytogenes , spread from cell to cell to effectively disseminate within host tissues and cause systemic infections. We developed a fluorescence microscopy-based method to visualize and distinguish in real time the dynamics of donor and recipient host cell plasma membranes during the different stages of the cell-to-cell spread process: (i) formation of the intercellular protrusion-containing L. monocytogenes , (ii) protrusion resolution into a vacuole, and (iii) disruption of the vacuolar membranes until the bacterium is released into the cytosol of the recipient cell. We measured the kinetics of the two identified—canonical and non-canonical—cell-to-cell spread pathways of L. monocytogenes in epithelial cells. This work also revealed that the virulence factors listeriolysin O and phospholipases C differentially control donor and recipient membrane remodeling and bacterial capture into autophagosomes, providing an advanced model for L. monocytogenes cell-to-cell spread.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.270
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuemBioSame topicListeria monocytogenes in Food SafetyFrench-language works237,207