Cellular dynamics of immune evasion during <i>Leishmania major</i> infection
Bibliographic record
Abstract
Abstract Concomitant immunity against intracellular parasites is dictated by the immune response and parasite escape mechanisms that prevent clearance. Infection by Leishmania major generates a strong T cell response, yet parasite clearance is incomplete and leaves a small pool of persistently infected cells. T cell behaviours are augmented by the biochemical and spatial conditions of their immediate environments, and a gap in knowledge is the cellular and molecular mechanisms that prevent complete clearance of pathogen-infected cells in the skin. We combined MP-IVM with a novel T-cell receptor transgenic mouse model, where T cells recognize the immunodominant Leishmania-glycosomal phosphoenolpyruvate carboxykinase (PEPCK) peptide, to provide insights into the spatiotemporal dynamics of anti-Leishmania T cell responses during active disease and persistent infection. We show that monocyte-derived macrophage:T cell interaction dynamics were transient at steady-state, but prolonged upon antigen recognition. PEPCK-specific T cells produced high levels of IFNg in response to peptide or infection. We also show that in vitro expanded Treg cells can suppress effector T cell functions, and that greater suppression was observed by PEPCK-specific Treg cells. Ongoing studies that address the cellular and molecular mechanisms of Treg-mediated response blunting will be presented. Intravital microscopy studies characterizing PEPCK-specific T cell migration dynamics and tissue localization within skin lesions directly in live mice will also be presented. The goal of our study is to identify barriers to overcome in order to achieve complete parasite clearance and to better describe the dynamic aspects of concomitant immunity generation.
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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".